Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
708
datasets available to search
ShareScore release 0.9.0
Dataset results
708 results for “Global dataset”
Global Biotic Interactions: Elton Dataset Cache for Collections of National Museum of Natural History, Smithsonian Institution
<p>Global Biotic Interactions: Elton Dataset Cache for Collections of National Museum of Natural History, Smithsonian Institution</p> <p>The intended use of this archive/cache is to allow for offline-enabled access versions of existing species interaction datasets. The program "Elton" (https://doi.org/10.5281/zenodo.998263) was used to populate the content of elton-datasets.tar.gz . The same program can be used to extract information from the cache archive also. Global Biotic Interactions (https://globalbioticinteractions.org, https://doi.org/10.1016/j.ecoinf.2014.08.005) also uses these archives to create derived species interaction data archives, search indexes and APIs.</p> <p>Please note that due to size considerations, offline-enabled access to an elton dataset cache of iNaturalist interaction data has been excluded from this publications and moved into a separate Zenodo publication at https://doi.org/10.5281/zenodo.3950546 .</p> <p>Contents<br> --------</p> <p>README:<br> this file</p> <p>elton-datasets.tar.gz:<br> versioned archive with species interaction datasets</p> <p>elton-datasets.tar.sha256:<br> content signature of elton-datasets.tar</p> <p>elton-datasets.tsv:<br> list of included datasets</p> <p>elton.jar:<br> commandline program to help access the species interaction datasets</p> <p>Usage<br> -----</p> <p>To install, extract elton-datasets.tar.gz into a directory of choice using:</p> <p>tar xfz elton-dataset.tar.gz</p> <p>To use, download elton.jar included this publication and execute the following to get a list of available datasets:</p> <p>java -Xmx4G -jar elton.jar datasets</p> <p>on a system that has java v8+ installed.</p> <p>If all goes well, you should be able to regenerate the included file elton-dataset.tsv .</p> <p>For more information on how to use elton.jar, execute:</p> <p>java -jar elton.jar usage</p> <p>or visit https://github.com/globalbioticinteractions/elton for more available commands.</p> <p>Alternatively, without using Elton, you can access the data by inspecting the access.tsv files in the various directories of the datasets directory.</p> <p>When using these datasets in a publication or product, please cite the *original* data providers and publications. You can find the citations in the data.</p> <p>Included datasets:</p> <p>globalbioticinteractions/usnm National Museum of Natural History, Smithsonian Institution IPT RSS Feed https://github.com/globalbioticinteractions/usnm/archive/44794f5e68adb768de09b44692d7bd2163968563.zip 2021-11-13T03:12:33.778Z 686cacf55bbd48785d264d1bc7ff187f36a77faa92e963368f36617ab732304e 0.12.2</p> <p>Associated content ids:</p> <p>hash://sha256/a6a5c330c7e7e803ba96acafdb854e6b4d93d763a700d921cf416ec92b1521a5<br> hash://sha256/da5fde39c0048886b085b17b001b10fc69d12e259fee46e0252f0e90b0a5e988<br> hash://sha256/f7287f049bc1114619e538e42ea728dbdcaf489790f71eb1bedd55ff5396dd7f<br> hash://sha256/68bd01e004e6b0bfbde925d1f5449b8dc50f4b01ed6d3534d0a3bc01875149fd<br> hash://sha256/57901cccfa745ca64a60f5f9dfc3c2a25c0a6cd57d676cea8a60e2d605bd1828<br> hash://sha256/50cdd572f1cc66976591d9e718592681dde9e0f7139d3802738d01abd22e5729<br> hash://sha256/e176d4444d1664d486226764eeb00c5f31d7332a5ea0f5cb2947e6892e0e4e64<br> hash://sha256/edb5d35093b104ffe9896b3c916662b812ccdc68bff2e2997777695b9895afba<br> hash://sha256/f395efbd0f8665a0aec8a464c97f1b06a157494cae699cdb734f4fb48c5a6a80<br> hash://sha256/bb86e0c47f7c016050213c7c6f508ed8f6618f377ceb6deef5775c6a67bfa0a7<br> hash://sha256/7fb429234693ed8840c80124eb13ed86a3659906453471db6d9dd51f6689f55e<br> hash://sha256/954f5186ccf95189132a03e79f5c14258633b4a00d03a70d02fdd175d87945a9<br> hash://sha256/e895dbe606fa799f089c76992c4023f6b2b7f82533125a496f172f638a9fadc4<br> hash://sha256/5fd1aa09aaab948a69bf42edc3d7170e83827d61b70b35947e23d45b82444624<br> hash://sha256/84055a44552f2ae3f7701a89827e81969c7274688704cf8b223ba3106774d0e0<br> hash://sha256/e41118c8f304b6adc08fa1990288f0ff858d08a7ec49d504290e810931db7a77<br> hash://sha256/20b1f7def8196f19563949c53e9e64d87ccff8b3a73005d7d7b61351ca7ca549<br> hash://sha256/b0b48353b1c0662664809804806eaed117fd021be123b3c79ebc81af8d41d7dc<br> hash://sha256/f64b4162f97279a22a89ce0ab8d316733014d7ac1578efa3f00c8840da45b55d<br> hash://sha256/3a77cd41a34f5e5449a93189abfafd895d1261c56f076f59af7beefcbcb11c96<br> hash://sha256/6ad33ae1559e8b381fb78999f17b785a3742b495345e55b6338df97c372c187f<br> hash://sha256/901ac1dbe725bf01e3e716dd1e84fa85e8bf95b0edde2a167b0f38e0cf64d21d<br> hash://sha256/90ae02177c9e69227735e2ad99baf9ccb5aacead3532584f31534308c98e8a01<br> hash://sha256/1e8d2e4a1e9ff9827b27638a633a13d5928bffee7123f562ab84a2de47a676f4<br> hash://sha256/5567ee9af737414184593942ef8e757611ec6dfaf4b753d78d091d327b5d07ca<br> hash://sha256/f52eb5fe006454d065c0dc44dae73361414710dfe4abab1af5f87573b854811c<br> hash://sha256/09be8eaaf048f4fe699d4fa65950eea1da809c8348e023e46b50d7620c346b5b<br> hash://sha256/696f9b2aba8218dd9163f3d3c3801c14f4393665538571a7e32681d942019425<br> hash://sha256/211ec5a7061f501792932cd1eca40a35a48520a93524619fd5c84c865f97a7da<br> hash://sha256/9a3a4291fa91a8aeee5f7dc60e70c0621835fb95215913830a94bc0ba69219bc<br> hash://sha256/304fc7d01305215e86ba1873eefa4c047b244a42b6109402acaf6cdafdab2649<br> hash://sha256/ae32c5a32d51cbbed9572afbfc581fe9d04db5b44b6c47175eb31e0bfc8d75bf<br> hash://sha256/49704e739968329e14e037ac470ae4675ed7305bf4b5d31713e2cfdd11fab923<br> hash://sha256/d5cf8040cb68b51132554335a3394625b0fe93ee999396c634890cabd99a52b1<br> hash://sha256/ec9411b62802566074c901aec707c77864fe92ecef43c96998947e93463e2041<br> hash://sha256/9c6c4c4e65211805d5313fca8db474c259bb7f78ae8c913c22f363894093ea97<br> hash://sha256/c802e1aac3c3f5da9068edf4ae600aa4bb615ef1c552df2b20ee11fdbc55e11d<br> hash://sha256/d27dd70e25123cc945da56ecaf5848ded9355dce4ae868670d999bb34cacda44<br> hash://sha256/c8521e865f3254067ba00452d85f88efd4d5bd802da96bb02d3e00b82e310d84<br> hash://sha256/0f4de4a5ebc5e9fd9c72cd9b7351b3eb07c754bb2fe4395feef5668c1cf39e1a<br> hash://sha256/51cf7d15ab3de806190f389dbf3267be0e6d97e9783cef976b84891c9c74675e<br> hash://sha256/dfbe7f244eb0f4a18dbe2c8b5d03449dc3467dbfa60bf9fc7c1f42e0d757e7d6<br> hash://sha256/40c505c041986ebbf65fa18fb52e593fcc946518b095a37e5bfb54f41d211f8f<br> hash://sha256/d6117367441d244242905d3af1e597b9997309407f6aef2501cc91e773ad25b3<br> hash://sha256/45595ccca2a29b1b2d04238fc793b21a3ac7868e3918bccb12efbdbdc7896dd4<br> hash://sha256/549676fb3188292c142c38fc959c90556f9b79d904a3025f4ed58043f2a0365d<br> hash://sha256/e6ad88f45b200c36bb765cf0d743464c2526a26aefa5ad09565fdf2c88cbd5ca<br> hash://sha256/65210edad5ca5e633c818337b60417931b199c58c1e779e579a13d116dc5a224<br> hash://sha256/c7d32c3ff9329b748709c7992ea556d1874e8d205664e01936c260b8b80c700c<br> hash://sha256/65dce95a770b0439dd8ff1bc834f567b7c07ecfed70d8ebb6181f0eee6113d71<br> hash://sha256/52470199203c8b84cfa95a6e629c7f816fcd2c64c1d405bb59d2e1c0883f93ab<br> hash://sha256/2a71fec079b51b6aa9663e784c876fa6cd324bfc5a9b6f123ba7a21b28a4c55b<br> hash://sha256/4bb9cfee8572addb3e77175d4c961432f989abeac11f4d2735a68705b1b01cf3<br> hash://sha256/b00ebcb02f6c9003d35acaca8db452fb8be77b5def2203e9a2a6c860b3ef9ed7<br> hash://sha256/0095d0c426ad1efc5eaa840070552d0be29ff0603e092d99206a55cc410e0994<br> hash://sha256/45d139640c524e42159c10f7827292e558387b561729ed8dac50f0714cd9409d<br> hash://sha256/79c92a0e43f8c99062320e74f128e022ce58fe72b59e50b5a90a95b566e4b436<br> hash://sha256/5472cb9678f94db6ff021a310ccfea3fdbcb640080e2adef14cace6e5822191a<br> hash://sha256/554028ff7e8e9012f8c24e1950816eb03b224f47cba2262719fe6e8a65e6c191<br> hash://sha256/1c387dece95d6bdf5ff2b28f6ae455608836b5d14b49939f236a23bf3a55f746<br> hash://sha256/d5a28b5c0ebc9647816f3b97b7344ab52437382ce04c1ede87275d4d7d178a80<br> hash://sha256/39f762bac6c5f38528e7748872f2b1d8dd6891ff97dae20cb975669f8d3fb1ae<br> hash://sha256/d3f271c662dd9c3e1202ce6d12eea6292d94739c934f812c659ab786d6b4fcc4<br> hash://sha256/b7af838560871dec29dd540b0ec1510a9c24cd0739a6bfdbba2d837de95da476<br> hash://sha256/0ae74cf01c74bca683e324de6349580bd55a56cf4199ca2fbc4ebbbff7e4dc44<br> hash://sha256/5cfc5c4b73104beaca2d7ee8b8b50990fb9f9ca8332f83d4068cc1f6c15d1cb5<br> hash://sha256/c05f24a393426954b7367fd178e2800f43dcc4d55334fa5162cf2ada58192ea9<br> hash://sha256/82fccc2c7f0d2e5a5c530e5b7623c617495f1519d9f6245181fe18745f5716de<br> hash://sha256/14a8bc64c8b2ab06b2229bd1d2bd0e30c64d4ba794ead82438b2b4848e207fb6<br> hash://sha256/cedb2e7c841e1ee2282927fe1b481f7584af71552d19abe86660001f5ccfa627<br> hash://sha256/cca078b3de382fb54a95bcbe692bd1efcf85256ff0e8974b4188a1260bbdf1a8<br> hash://sha256/a40a4bd215207b12563c8ce8efa71b5de69de02674bf03cad9709745921d5591<br> hash://sha256/1a71cfd7e0c6fd193702f177c9a2a150d239feb8e2e50ede391aeb7f789adc98<br> hash://sha256/cce187f1733fa2a994e322a7451ae5de8d68c388d0f6b56dcd24007c6d062ec5<br> hash://sha256/9f32be8709868086cb3b06a7edc6a162317db93366d7acdee7fb485548ca30df<br> hash://sha256/920dc53ca56c8d4cb3cc0f18b86a85199aefe668023b4093675b6c14e7ef1a49<br> hash://sha256/62f9907c90cbfe758296dc69594780b5dfd4adedd55118fadd975dca35f0cc41<br> hash://sha256/157923882d48dc52ca97d77f0f29c4a83e8540bf909c17bfebfa0e4995ad7ee8<br> hash://sha256/99bf044d8dafbae8968c226e9c073f8b866454f8cd7dec92f9abb4db1eb6cebc<br> hash://sha256/cfe2dbd5ee77896e0b2fcead9b50585d6e9528d043ea70afd478f7d8d5eb653e<br> hash://sha256/2e5d9146f1798654cb0c7ae98ff55408eaf29a58f81675d7c8911193092ab9a6<br> hash://sha256/ab733e9b907ce3f9525ecc52fc13e7e98c644784472aba4149cfdaa8c351250f<br> hash://sha256/1a37faf516849590e71e335fc4afc225b392347ebe2a862c433a5b762eb3b45f<br> hash://sha256/a64b11f1ee6f0b9dc0897b3ac1e58afca0da785faa02ddee1681a5cc83cfd70e<br> hash://sha256/f67ff3c90bdd727657091d491d3522b9e5f14ed0d47c5d74f17e8bc2e4beadf8<br> hash://sha256/ea83a5dd167e01cd75e2545a310bcf0597897afd83a00b939c841e4e8c68c208<br> hash://sha256/a66348ff1b5d381c56dbacf12000b3ad139431777c869f328dd9d2a14465a97c<br> hash://sha256/b2e1c6b03a63194fef780d7d533d3fe653689e616fa1ab9fd7d16ffbe9f499bf<br> hash://sha256/ef9a2d99028d4831f6954dd03f437e0fe2204e84c9a30be6ad34f992dee874b3<br> hash://sha256/183aa34e6425d13f44311911ed6dd3352667a48c9e99181260305952fc1f02a6<br> hash://sha256/f084d4b87de712ce6323cc8f7217a67ab6e1dbeab8f48ab6f96275a0441391d6<br> hash://sha256/f2fb9708b8642a09f35bb59b23b7d30d68a7a7f1b9d2c6aa7dae9a6816f5cd89<br> hash://sha256/511b0b666f9adff8e0a6b7ff13cbe3a3ca6fe2c881a1e2585cafdb5cd708520f<br> hash://sha256/854827a1c3cbbac171718f69a937b39bee53f2245bd518c53c825a6865be5d70<br> hash://sha256/b07212c2cfcc405b845c4fb8269bbb34cca127d26d5eb0a17006c478767e0c74<br> hash://sha256/40a668adaecc9968259d88bcff4861b4d517194fd6baece4a687761d949eea39<br> hash://sha256/c1b3be06128b2a85815262665405b9e7a8116bff972fe6e059833c909cc76b7c<br> hash://sha256/b2f826a23d2077c93c1463be5e9edead4fe03a30700b8135bca0d1164a77957d<br> hash://sha256/d71a5cc1eda721d6f3d8731b5462fb762b7e5c072784369ca440f2d20b9878df<br> hash://sha256/90beef30738a466d5a42067801b88f655568596ed37585d80386069cc2dc7063<br> hash://sha256/10ef6f2c7661d21308b5f24b226b5347fc098d1c32dbd3bf20310d13738ec50c<br> hash://sha256/6f2d511280f75dfe9d707d924ab339a4f0659c90216f442c06a2fa537f1c6524<br> hash://sha256/bdf14ed1bf0e06a40e24e03f4cc5cc9bc4f2cd534ae4c145036e18ab977b7096<br> hash://sha256/0ce4980a3059ee5a5b847b6114c4e75e2d8e81b66b89ef6d4e1138e9b6bb9917<br> hash://sha256/e313eae169db624d81284156a75696e1c19153e414e61ed99426dd7f470e071a<br> hash://sha256/d4837e4917b1c951ac9e8dee848b8e5c5b671ab7e9cdbe7e602cdfc245ea1509<br> hash://sha256/0721fb7e406cf701d637cf2d2a6a5358b10ed160b7a70bd3c53641aa770fe3e9<br> hash://sha256/2367bd2c74a3be60de21bd1d22c865569d7a8ad7efb29a0b271314af2c7d96f8<br> hash://sha256/b406a096b3c29e289d4ff869b588d2099c0480b8e1e0d5ecbeb9bda4484bc41c<br> hash://sha256/6687dd5a35d21adb821ba418d1b1038aa85d6e189c53f9b517609abf1f300c6a<br> hash://sha256/21139673c1c661697c67e4eb7054c06cf4cba0d194e201f3b7c4ba4ccffaf53e<br> hash://sha256/4084b8dfdeab02b97b37a09f78b2fd544155df9f69f9fee8f9cc533ae89efb18<br> hash://sha256/686cacf55bbd48785d264d1bc7ff187f36a77faa92e963368f36617ab732304e<br> hash://sha256/6597fda5e202501d5dbd747f0fdadf257c522d81f17c5fb89c8160dfce57a597<br> hash://sha256/de397cfbc7bb473a554a326c839b9403938c8ee3c567c69849f93497b7b4b0b4<br> hash://sha256/c6da55c714cb8686b967ba7cf2c10ecdd89f1e33e9d60620e559c164e80bcf5b<br> hash://sha256/60c10aea7c4dfdfd81e078541a271ceb379ab8605af819f90cd6882e8712d12e<br> hash://sha256/8e74b7f56d5fd6887beefadbba131a8ecbc3286207bec689882fce521f8e95ae<br> hash://sha256/4acdaa65ffca370296317f11ec6074c7de899c05e656344a2887364d6320a379<br> hash://sha256/1349bc4f8ddf3224bfecc1e2d646a4f7013cb62817ac2b38720e39d9d54a4259</p> <p> </p>
Global Biotic Interactions: Elton Dataset Cache
<p>Global Biotic Interactions: Elton Dataset Cache</p> <p>The intended use of this archive/cache is to allow for offline-enabled access versions of existing species interaction datasets. The program "Elton" (https://doi.org/10.5281/zenodo.998263) was used to populate the content of elton-datasets.tar.gz . The same program can be used to extract information from the cache archive also. Global Biotic Interactions (https://globalbioticinteractions.org, https://doi.org/10.1016/j.ecoinf.2014.08.005) also uses these archives to create derived species interaction data archives, search indexes and APIs.</p> <p>Please note that due to size considerations, offline-enabled access to an elton dataset cache of iNaturalist interaction data has been excluded from this publications and moved into a separate Zenodo publication at https://doi.org/10.5281/zenodo.3950546 .</p> <p>Contents<br> --------</p> <p>README:<br> this file</p> <p>elton-datasets.tar.gz:<br> versioned archive with species interaction datasets</p> <p>elton-datasets.tar.sha256:<br> content signature of elton-datasets.tar</p> <p>elton-datasets.tsv:<br> list of included datasets</p> <p>elton.jar:<br> commandline program to help access the species interaction datasets</p> <p>Usage<br> -----</p> <p>To install, extract elton-datasets.tar.gz into a directory of choice using:</p> <p>tar xfz elton-dataset.tar.gz</p> <p>To use, download elton.jar included this publication and execute the following to get a list of available datasets:</p> <p>java -Xmx4G -jar elton.jar datasets</p> <p>on a system that has java v8+ installed.</p> <p>If all goes well, you should be able to regenerate the included file elton-dataset.tsv .</p> <p>For more information on how to use elton.jar, execute:</p> <p>java -jar elton.jar usage</p> <p>or visit https://github.com/globalbioticinteractions/elton for more available commands.</p> <p>Alternatively, without using Elton, you can access the data by inspecting the access.tsv files in the various directories of the datasets directory.</p> <p>When using these datasets in a publication or product, please cite the *original* data providers and publications. You can find the citations in the data.</p> <p>Included datasets:</p> <p>AgentschapPlantentuinMeise/ashForestInteractions Groom, Q.J., Maarten De Groot, M. & Marčiulynienė, D. (2020) Species interation data manually extracted from literature for species . https://github.com/AgentschapPlantentuinMeise/ashForestInteractions/archive/0a73fdc7a424a52ec8398cd153e9fb8b5f465eb2.zip 2021-11-12T23:10:59.455Z fa9cc04c03589a97e2047d534f3e7ba9c8f02805e92d396c1b640b3344a110be 0.12.2<br> BDMYRepository/Echino-Interactions Soleto-Casas RC and Simões N (2020). Parasitic and commensal invertebrates of echinoderms from American Tropical And Subtropical Atlantic manually extracted from literature. https://zenodo.org/record/3742346/files/BDMYRepository/Echino-Interactions-V3.zip 2021-11-12T23:11:17.748Z 888e5165881b5d3533fc1502300f21d3421abf0af6ccc2bc06b2c90f6b9a58f7 0.12.2<br> BDMYRepository/Paguroidea-Mollusca-Interactions Cervantes-Campero G and Simões N (2020). Use of shells (Mollusca) by hermit crabs (Paguroidea) from the Southern Gulf of Mexico and the Caribbean Sea. https://zenodo.org/record/3901657/files/BDMYRepository/Paguroidea-Mollusca-Interactions-1.1.zip 2021-11-12T23:11:25.778Z d35f79522c66505bcd1b676c9c39c70725f195b64434568f90b0ef2d82956e56 0.12.2<br> BDMYRepository/Sponge_Interactions Pérez-Botello A M and Simões N (2019). Sponge-dwelling fauna from the Gulf of Mexico and the Caribbean sea a manually extracted from literature. V2.0 https://zenodo.org/record/4544355/files/BDMYRepository/Sponge_Interactions-2.06.zip 2021-11-12T23:11:34.611Z 29b599e9cc46659381c45365dc9dc5d8e2f2490f6eb379ace41b7ada667c9f53 0.12.2<br> Big-Bee-Network/bee-interaction-database Seltmann, K., Van Wagner, J., Behm, R., Brown, Z., Tan, E., & Liu, K. (2020). BID: A project to share biotic interaction and ecological trait data about bees (Hymenoptera: Anthophila). UC Santa Barbara: Cheadle Center for Biodiversity and Ecological Restoration. Retrieved from https://escholarship.org/uc/item/1g21k7bf https://github.com/Big-Bee-Network/bee-interaction-database/archive/99659e611eaf6594d11f913d18eabae51ff09bef.zip 2021-11-12T23:11:56.872Z 02873ad486861456acddd80ac444cc7e8828b7eae1985ca11e5c8cbb26ce966e 0.12.2<br> CALeDNA/Klamath-mountains Genus level interactions from a metagenomic analysis of eDNA samples from the Klamath mountains https://github.com/CALeDNA/Klamath-mountains/archive/2a885acccb9c7d8f0f368044d9ba71d74c309450.zip 2021-11-12T23:12:03.156Z 8bdedeb77ef6ec5be27937768adaf20d48671be636bffb79eb9d278d8bb666ed 0.12.2<br> EMTuckerLabUMMZ/ummzi University of Michigan Museum of Zoology Insect Division. Full Database Export 2020-11-20 provided by Erika Tucker and Barry Oconner. https://github.com/EMTuckerLabUMMZ/ummzi/archive/6731357a377e9c2748fc931faa2ff3dc0ce3ea7a.zip 2021-11-12T23:12:53.239Z 2c8c0ec09c6b0509882ad2d98a8a1ee1d1ea870c3ab2e7d69a0486f2e4643b01 0.12.2<br> EOL/pseudonitzchia A. Thessen. 2014. Species associations extracted from EOL text data objects via text mining. https://github.com/EOL/pseudonitzchia/archive/e5838965a186fba4b7215cd0d179c4526773bad5.zip 2021-11-12T23:14:06.961Z c68c9950743e245a54937e84a725ea945f272eb271392b762a2da00577e44db8 0.12.2<br> Extended-Bee-Network/bee-interaction-database Seltmann, K., Van Wagner, J., Behm, R., Brown, Z., Tan, E., & Liu, K. (2020). BID: A project to share biotic interaction and ecological trait data about bees (Hymenoptera: Anthophila). UC Santa Barbara: Cheadle Center for Biodiversity and Ecological Restoration. Retrieved from https://escholarship.org/uc/item/1g21k7bf https://github.com/Extended-Bee-Network/bee-interaction-database/archive/99659e611eaf6594d11f913d18eabae51ff09bef.zip 2021-11-12T23:14:18.705Z 02873ad486861456acddd80ac444cc7e8828b7eae1985ca11e5c8cbb26ce966e 0.12.2<br> Faizaufa/redhead2018 Redhead, J.W.; Coombes, C.F.; Dean, H.J.; Dyer, R.; Oliver, T.H.; Pocock, M.J.O.; Rorke, S.L.; Vanbergen, A.J.; Woodcock, B.A.; Pywell, R.F. (2018). Plant-pollinator interactions database for construction of potential networks. NERC Environmental Information Data Centre. https://doi.org/10.5285/6d8d5cb5-bd54-4da7-903a-15bd4bbd531b https://github.com/Faizaufa/redhead2018/archive/89ca7296078cce01a293813e509700d6c05faabc.zip 2021-11-12T23:14:23.735Z 1c7ea5a4d2cf7d51718723adaa2e36e0d936518921b7db8c02988cc37cacaa5c 0.12.2<br> FloraVincent/DIDB Flora Vincent. 2019. DIDB: Diatom Interaction DataBase. https://github.com/FloraVincent/DIDB/archive/c5146d235b6d0701d8828d518bb7f290a5633a31.zip 2021-11-12T23:14:40.111Z 045e44bc71c26b826a30932236254fac4727fce6b9a1a77cd3422ba28e8fe7a0 0.12.2<br> GoMexSI/JLewis_GoMexSi http://gomexsi.tamucc.edu https://github.com/GoMexSI/JLewis_GoMexSi/archive/f55ee847661a28b136a86f6669e81669f656fc1b.zip 2021-11-13T04:21:02.172Z 01d7c985a183f74a69a709e342252489417fb667a28c66c461bc71043835a0bc 0.12.2<br> GoMexSI/abascal http://gomexsi.tamucc.edu https://github.com/GoMexSI/abascal/archive/d2bbfcdfa4499ecc7fb021cee66aae05139b9a08.zip 2021-11-13T04:20:12.703Z 4486a9ea58c7401723df75dafc2b5f24ce275d7e7edf5defb56bc5cc1103a9fc 0.12.2<br> GoMexSI/akin Akin, S., & Winemiller, K. O. (2006). Seasonal variation in food web composition and structure in a temperate tidal estuary. Estuaries and Coasts, 29(4), 552–567. doi:10.1007/bf02784282 https://github.com/GoMexSI/akin/archive/6fc86470c20812be325612f51783ae3e7342a2ea.zip 2021-11-13T04:20:27.551Z da0b6f7eb2436d7123c24ddf44d49c388b44d770604558d54943968e834fce03 0.12.2<br> GoMexSI/baremore Baremore, I., Murie, D., & Carlson, J. (2010). Seasonal and size-related differences in diet of the Atlantic angel shark Squatina dumeril in the northeastern Gulf of Mexico. Aquatic Biology, 8, 125–136. doi:10.3354/ab00214 https://github.com/GoMexSI/baremore/archive/de843f7a86b9cb2e5b2d511e9082e13c7b88862f.zip 2021-11-13T04:20:31.971Z ed5b533a989052437aeee0ad2096ff3d22cca734ecbf720e23bd2e7b4327ecff 0.12.2<br> GoMexSI/blewett Blewett, D. A., Hensley, R. A., & Stevens, P. W. (2006). Feeding Habits of Common Snook, Centropomus undecimalis, in Charlotte Harbor, Florida. Gulf and Caribbean Research, 18. doi:10.18785/gcr.1801.01 https://github.com/GoMexSI/blewett/archive/922e3ed1531d2af5720fdbc0307a1942b5ac050d.zip 2021-11-13T04:20:36.806Z 0bf13b222406591c19c4b8305e2a1e9416765ab94c8d729fe4213e814c0542b6 0.12.2<br> GoMexSI/interaction-data http://gomexsi.tamucc.edu https://github.com/GoMexSI/interaction-data/archive/05dcb4f75951950dead51d6f693ba24a87db9a92.zip 2021-11-13T04:20:46.610Z ed9062d4bb06ce6136f367b0c2180b4502ecee88fe8acdcbc6b145a3812824de 0.12.2<br> GoMexSI/simons Simons JD. 1997. Food habits and trophic structure of the demersal fish assemblages on the Mississippi-Alabama continental shelf. PhD Thesis. https://github.com/GoMexSI/simons/archive/5af33796c194bed634bffc3790ed540d42fa03aa.zip 2021-11-13T04:21:16.191Z 6cfad1260fdf4d6fc0d3776f15b3c5e9053b960da74a8f3367a76a05c892c6ec 0.12.2<br> GoMexSI/wrast Wrast JL. 2008. Spatiotemporal And Habitat-mediated Food Web Dynamics in Lavaca Bay, Texas. Master Thesis. https://github.com/GoMexSI/wrast/archive/6a06057d7f3ccc4204378573ca03725862256d0c.zip 2021-11-13T04:21:21.312Z 30e9f0533a5c1a15c291bbb64d5e5fc3f77ea7fb4ebf7b07fc0ea9abef2ffa20 0.12.2<br> KatjaSchulz/dinosaur-biotic-interactions Katja Schulz. 2015. Information about dinosaur diets manually extracted from literature. https://github.com/KatjaSchulz/dinosaur-biotic-interactions/archive/e744bef6ff47d57b86b81fe767ad983ef5b7f460.zip 2021-11-13T04:24:36.498Z 39c57bf7c59637e4495e68746743421f6e07fa61d9d25495fd92210be1333324 0.12.2<br> NASUA/ZalophusPredatoryInteractions Carranco.S ; Muñoz, G. 2018. Galapagos sea lion fish-feeding interaction dataset in the San Cristobal Island https://github.com/NASUA/ZalophusPredatoryInteractions/archive/c9f28887dd94d5c9dac239ed23f9f92a6bbb8b11.zip 2021-11-13T04:42:10.101Z 770be4c86440edc567306f0d910303eabb4ac8ce4d19a46431c68385e1a34523 0.12.2<br> PHI-base/data Urban M, Cuzick A, Rutherford K, Irvine A, Pedro H, Pant R, Sadanadan V, Khamari L, Billal S, Mohanty S, Hammond-Kosack KE. PHI-base: a new interface and further additions for the multi-species pathogen-host interactions database. Nucleic Acids Res. 2017 Jan 4;45(D1):D604-D610. doi: 10.1093/nar/gkw1089. Epub 2016 Dec 3. PMID:27915230 https://github.com/PHI-base/data/archive/55bdbb9105aeeafbd31e830a6bc18cc2afaa315e.zip 2021-11-13T04:47:07.815Z 9fb590efddf1ce872d382003568efb4bd43378991e6752b4818216840b22b7aa 0.12.2<br> ParasiteTracker/tick-interaction-database Seltmann, Katja C. 2020. Biotic species interactions about ticks manually extracted from literature. https://github.com/ParasiteTracker/tick-interaction-database/archive/09944e1a7283c2ff8514b1860e8299c527517040.zip 2021-11-13T04:42:33.097Z db8e1ea4e698ded1f7dbd6e74531899d8e02c78000887c80143776d653b6fe51 0.12.2<br> ParasiteTracker/vampire-moth-dwca Occurrence Records for vampire-moths-and-their-fruit-piercing-relatives. 2018-09-27. South Central California Network - 2ba077c1-aa41-455e-9a84-bccb61a91230. https://github.com/ParasiteTracker/vampire-moth-dwca/archive/c4549a1690b84595c88946f477057b9ab76e5360.zip 2021-11-13T04:42:37.906Z 5304518021dd435af41637132ad7629d464db3f8221a60f9e4cb89fddc28c0e9 0.12.2<br> ParasiteTracker/vampire-moths-and-their-fruit-piercing-relatives-Occurrence-Records Occurrence Records for vampire-moths-and-their-fruit-piercing-relatives. 2018-09-27. South Central California Network - 2ba077c1-aa41-455e-9a84-bccb61a91230. https://github.com/ParasiteTracker/vampire-moths-and-their-fruit-piercing-relatives-Occurrence-Records/archive/c4549a1690b84595c88946f477057b9ab76e5360.zip 2021-11-13T04:42:43.133Z 5304518021dd435af41637132ad7629d464db3f8221a60f9e4cb89fddc28c0e9 0.12.2<br> ThaoLe20/Bottlenose-Dolphin-Diet : Gime´nez J, Marc¸alo A, Ramı´rez F, Verborgh P, Gauffier P, Esteban R, et al. (2017) Diet of bottlenose dolphins (Tursiops truncatus) from the Gulf of Cadiz: Insights from stomach content and stable isotope analyses. PLoS ONE 12 (9): e0184673. https://doi.org/10.1371/journal. pone.0184673 https://github.com/ThaoLe20/Bottlenose-Dolphin-Diet/archive/c9ff689ba155ec0120532105b5f1c8e506c4cd11.zip 2021-11-13T04:48:38.813Z 759b2c7aad030f4c79835707da62b6c1f5f7ab58e06490d57d5e492b81f69086 0.12.2<br> ThaoLe20/Diet-of-bottlenose-dolphins : Gime´nez J, Marc¸alo A, Ramı´rez F, Verborgh P, Gauffier P, Esteban R, et al. (2017) Diet of bottlenose dolphins (Tursiops truncatus) from the Gulf of Cadiz: Insights from stomach content and stable isotope analyses. PLoS ONE 12 (9): e0184673. https://doi.org/10.1371/journal. pone.0184673 https://github.com/ThaoLe20/Diet-of-bottlenose-dolphins/archive/c9ff689ba155ec0120532105b5f1c8e506c4cd11.zip 2021-11-13T04:48:43.150Z 759b2c7aad030f4c79835707da62b6c1f5f7ab58e06490d57d5e492b81f69086 0.12.2<br> ThaoLe20/Fish-diets : Gime´nez J, Marc¸alo A, Ramı´rez F, Verborgh P, Gauffier P, Esteban R, et al. (2017) Diet of bottlenose dolphins (Tursiops truncatus) from the Gulf of Cadiz: Insights from stomach content and stable isotope analyses. PLoS ONE 12 (9): e0184673. https://doi.org/10.1371/journal. pone.0184673 https://github.com/ThaoLe20/Fish-diets/archive/c9ff689ba155ec0120532105b5f1c8e506c4cd11.zip 2021-11-13T04:48:47.560Z 759b2c7aad030f4c79835707da62b6c1f5f7ab58e06490d57d5e492b81f69086 0.12.2<br> ThaoLe20/Testing Jorrit H. Poelen. 2014. Species associations manually extracted from literature. https://github.com/ThaoLe20/Testing/archive/40a28dac110a264ad69c63c024ca11646f5f4250.zip 2021-11-13T04:48:56.823Z 7f4c77a3c4bd2218372929128ec6871c49364b0e6852ab628ad3f5e8022755cd 0.12.2<br> ThaoLe20/template-dataset Jorrit H. Poelen. 2014. Species associations manually extracted from literature. https://github.com/ThaoLe20/template-dataset/archive/40a28dac110a264ad69c63c024ca11646f5f4250.zip 2021-11-13T04:48:52.605Z 7f4c77a3c4bd2218372929128ec6871c49364b0e6852ab628ad3f5e8022755cd 0.12.2<br> TutoTestTuto/tutorial Pérez-Botello A M and Simões N (2019). Sponge-dwelling fauna from the Gulf of Mexico and the Caribbean sea a manually extracted from literature. https://github.com/TutoTestTuto/tutorial/archive/fea86a576396b139c65e0dbc7f8cca2f02cdde84.zip 2021-11-13T04:49:21.568Z c6430c995604d0edec3a05b678dddda5d3e0281c2a6c1b4f86319375cd2f4035 0.12.2<br> UCcongenomics/template-dataset Jorrit H. Poelen. 2014. Species associations manually extracted from literature. https://github.com/UCcongenomics/template-dataset/archive/ab8b030f16f4de01dc42c1c5669c629943dfec9a.zip 2021-11-13T04:49:26.219Z 0edd05ff80b5ca69d0d7a695ecee4a8e485fea2b6c2b555b011b7e09ee17da73 0.12.2<br> ZekeMarshall/ZMBioticInteractions Zeke Marshall. 2021. Species interactions manually extracted from literature. https://github.com/ZekeMarshall/ZMBioticInteractions/archive/8a2c1b0c5d40e115d06fe12d0d366ab5f2e2ca75.zip 2021-11-13T04:51:28.522Z 654e05ecf286db677fb8a6a9bc9daea8ace38724564f11e85f9c2c2934340745 0.12.2<br> abarner/template-dataset Jorrit H. Poelen. 2014. Species associations manually extracted from literature. https://github.com/abarner/template-dataset/archive/4bdb2493d4a6a9c36e864b1a2e3bab40459a1098.zip 2021-11-12T23:10:53.387Z e7410c21c897071619c1c444b5cc30662aa962362b8c916a0135e77d0536ba35 0.12.2<br> arw36/willoughby-etal-2017-roost-interactions Willoughby AR, Phelps KL, Olival KJ, Predict Consortium. A comparative analysis of viral richness and viral sharing in cave-roosting bats. Diversity. 2017 Sep;9(3):35. https://github.com/arw36/willoughby-etal-2017-roost-interactions/archive/05e08a5961d8c126103046a945dfea67ed20475b.zip 2021-11-12T23:11:04.388Z f2bce55ce35f646dd3d8714f7145d1dcf8478f609b57aecafc2194a81221e27a 0.12.2<br> arw36/willoughby-etal-2017-virus-interactions Willoughby AR, Phelps KL, Olival KJ, Predict Consortium. A comparative analysis of viral richness and viral sharing in cave-roosting bats. Diversity. 2017 Sep;9(3):35. https://github.com/arw36/willoughby-etal-2017-virus-interactions/archive/113064ba0e2cb6e16c290cffb5b4d2342f0aa728.zip 2021-11-12T23:11:09.257Z a5546a583e267d22cae305420804f16684115cf8d73b404b8877b738cc2eabe1 0.12.2<br> beraute/Klamath-mountains Genus level interactions from a metagenomic analysis of eDNA samples from the Klamath mountains https://github.com/beraute/Klamath-mountains/archive/2a885acccb9c7d8f0f368044d9ba71d74c309450.zip 2021-11-12T23:11:40.392Z 8bdedeb77ef6ec5be27937768adaf20d48671be636bffb79eb9d278d8bb666ed 0.12.2<br> beraute/Pillar_Point_16S_18S Meyer R.S., et al., Beach environmental DNA fills gaps in photographic biomonitoring to track spatiotemporal community turnover across 82 phyla. Environmental DNA, submitted June 3, 2019. https://github.com/beraute/Pillar_Point_16S_18S/archive/3629f2e425baf3c0cbdee5347c6dc92cc608dde7.zip 2021-11-12T23:11:45.422Z 96ae6aa18e4f996fd43707b8898a2bd6d677611f61565e8011fe4e6e64b57bb0 0.12.2<br> beraute/Pillar_Point_CO1_16S Meyer R.S., et al., Beach environmental DNA fills gaps in photographic biomonitoring to track spatiotemporal community turnover across 82 phyla. Environmental DNA, submitted June 3, 2019. https://github.com/beraute/Pillar_Point_CO1_16S/archive/9a003a189116c5ea00cb4b53d3e44a0d791661eb.zip 2021-11-12T23:11:50.525Z 58700f4b0c49c2a22ec304a601e59f3d0015bfb88b7a58cd1e18ee0485e5d9e5 0.12.2<br> cmungall/Benesh-et-al-2017 Sarah E Miller. 9/19/2017. Species associations manually extracted from Benesh, D. P., Lafferty, K. D. and Kuris, A. (2017), A life cycle database for parasitic acanthocephalans, cestodes, and nematodes. Ecology, 98: 882. doi:10.1002/ecy.1680 https://github.com/cmungall/Benesh-et-al-2017/archive/129b7f7f66ee09bc4da41e46ea3dd7ad89e53fea.zip 2021-02-19T23:24:26.371Z 8ff87825f8a732d743ba938a6984fad95be0b80d3622e3dd2bf9f093a795a9b3 0.12.2<br> cmungall/dinosaur-biotic-interactions Katja Schulz. 2015. Information about dinosaur diets manually extracted from literature. https://github.com/cmungall/dinosaur-biotic-interactions/archive/e744bef6ff47d57b86b81fe767ad983ef5b7f460.zip 2021-02-19T23:24:29.631Z d0f170c3096f6084e8a085260cd6f0df68e92b8cd66aa3c91a0c328daf58de33 0.12.2<br> cmungall/dinosaur-biotic-interactions1 Katja Schulz. 2015. Information about dinosaur diets manually extracted from literature. https://github.com/cmungall/dinosaur-biotic-interactions1/archive/e744bef6ff47d57b86b81fe767ad983ef5b7f460.zip 2021-02-19T23:24:31.228Z d0f170c3096f6084e8a085260cd6f0df68e92b8cd66aa3c91a0c328daf58de33 0.12.2<br> debpaul/DIDB Flora Vincent. 2019. DIDB: Diatom Interaction DataBase. https://github.com/debpaul/DIDB/archive/9497975db6f2baa19008e517e757592581f32b36.zip 2021-11-12T23:12:08.606Z a0f30f607557a744bb6df3ecd4b5041963f400f1b93bf4df42409e47f3d8ae78 0.12.2<br> diatomsRcool/greenland_interactions Thessen AE. 2017. Biotic Interactions in Greenland. GloBI. 10.5281/zenodo.266824 https://zenodo.org/record/1438458/files/diatomsRcool/greenland_interactions-v20180928.zip 2021-11-12T23:12:16.500Z b9c4dcaf482278fa79811473b3398318dbdab1b3ec2f296856a339e1e2ce9d47 0.12.2<br> diatomsRcool/yellowstone_grizzly Gunther KA et al. 2014 Dietary breadth of grizzly bears in the Greater Yellowstone Ecosystem. Ursus 25(1):60-72 https://zenodo.org/record/266827/files/diatomsRcool/yellowstone_grizzly-1.0.0.zip 2021-11-12T23:12:24.107Z f77810acb128c5e85f7aa96164705a133a4f9dc303c6c266fe3b1244880aa66c 0.12.2<br> ekrimmel/paleo-interactions-test Paleo Digitization Working Group. Biological associations extracted from fossil specimens. https://github.com/ekrimmel/paleo-interactions-test/archive/9e8b180c0a41daffcfc148593d72059cbbb1ef94.zip 2021-11-12T23:12:28.825Z 6f67698baec5755af4780bdda486ff40bea1b3734b4c9bf7897b184287397ee7 0.12.2<br> elntangle/bee-interaction-database Seltmann, Katja C. 2020. Biotic species interactions about bees (Anthophila) manually extracted from literature. https://github.com/elntangle/bee-interaction-database/archive/7c3ad5013d98925b38c7b3b118886a44c68d2b40.zip 2021-11-12T23:12:33.587Z 54e7732303c97e315b835ff743e3b71ca40c932e4e382d36d066285f915d2820 0.12.2<br> fgabriel1891/Palm-Frugivore_Interactions_Neo-Afrotropics Muñoz, G., Trøjelsgaard, K., & W.D. Kissling. 2018. A synthesis of animal-mediated seed dispersal of palms reveals distinct biogeographic differences in species interactions. Journal of Biogeography (in progress) https://github.com/fgabriel1891/Palm-Frugivore_Interactions_Neo-Afrotropics/archive/49f339a3603b19b8a6f602612dc2dfae9c252131.zip 2021-11-12T23:14:29.807Z 130dae9a443c1ec65ec6ee14693bd849504a0184a24656032d4e3a8b77c8e0a7 0.12.2<br> fgabriel1891/Plant-Frugivore-Interactions-SouthEastAsia F. Gabriel. Muñoz. 2017. Palm-Animal frugivore associations extracted from literature with Biodiversity Observations Miner for SouthEast Asia. https://github.com/fgabriel1891/Plant-Frugivore-Interactions-SouthEastAsia/archive/a733103ca98e82c11a081888006efad99f75ab84.zip 2021-11-12T23:14:34.973Z 4c624cc07f8a048526b213089fb716618f5116aa7b9fe98b485372175b0da9ad 0.12.2<br> fonturbel-lab/pollination_catalogue Giselle Muschett & Francisco E. Fontúrbel. 2021. A comprehensive catalogue of plant – pollinator interactions for Chile https://github.com/fonturbel-lab/pollination_catalogue/archive/6ab041f11f052e82bbe01d2a701b5c1ea6d0918a.zip 2021-11-12T23:14:45.205Z d649df6b6c67ec34f9e4e8306ced772cbca541f3d8da659954cf4dfc9c4e6c4e 0.12.2<br> genostack/Pathogen-host-range Shaw, LP, Wang, AD, Dylus, D, et al. The phylogenetic range of bacterial and viral pathogens of vertebrates. Mol Ecol. 2020; 29: 3361– 3379. https://doi.org/10.1111/mec.15463 https://github.com/genostack/Pathogen-host-range/archive/f4014ed79b1211a63e20fedfae7d42a305f7775e.zip 2021-11-12T23:14:59.267Z 9ba203583352f358b2df82e35a13fd1acb2fd7cab2556c3f75233b14db813aea 0.12.2<br> globalbioticinteractions/AfricaTreeDatabase Seltzer, Carrie; Wysocki, William; Palacios, Melissa; Eickhoff, Anna; Pilla, Hannah; Aungst, Jordan; Mercer, Aaron; Quicho, Jamie; Voss, Neil; Xu, Man; J. Ndangalasi, Henry; C. Lovett, Jon; J. Cordeiro, Norbert (2015): Plant-animal interactions from Africa. figshare. https://dx.doi.org/10.6084/m9.figshare.1526128 https://zenodo.org/record/229547/files/globalbioticinteractions/AfricaTreeDatabase-v0.1.zip 2021-11-12T23:15:06.784Z e1cf0a3ca54cd2afba6faafa87fb1c289d657fb70927fc5dd522e91e959c2e37 0.12.2<br> globalbioticinteractions/BCI_Seed_Predator Gripenberg, S. et al., 2019. A highly resolved food web for insect seed predators in a species‐rich tropical forest F. Jordan, ed. Ecology Letters, 22(10), pp.1638–1649. Available at: https://doi.org/10.1111/ele.13359. https://github.com/globalbioticinteractions/BCI_Seed_Predator/archive/25726180d087ffe772515aee27173a4375cce6ee.zip 2021-11-12T23:18:20.427Z caa991fd26c5a0d266fdb8677c4f05d7d07b659d24ed6e0f7c7ba37673cb6760 0.12.2<br> globalbioticinteractions/Catalogue-of-Afrotropical-Bees Eardley C, Coetzer W. 2016. Catalogue of Afrotropical Bees. https://zenodo.org/record/4216814/files/globalbioticinteractions/Catalogue-of-Afrotropical-Bees-v0.2.zip 2021-11-12T23:28:25.644Z ba8760d5c6f9af48442f603d54f970e236d17b7c946a4da418f1e875f26044b2 0.12.2<br> globalbioticinteractions/EDWIP Failed inoculations indexed from negative.csv of Onstad, D.W. EDWIP: Ecological Database of the World's Insect Pathogens. Data provided by Onstad and transcribed by Tad Dallas . https://github.com/globalbioticinteractions/EDWIP/archive/8849e26d1a6f1033ee26d39648a8e31a4b4d9da2.zip 2021-06-24T19:12:19.609Z 445c540e3852eb3c92217d24d9efb29837a48d631357dce338a2ad4f3dde0421 0.12.2<br> globalbioticinteractions/NeoBat_Interactions Florez-Montero GL, Muylaert RL, Geiselman C, Nogueira MR, Santana SE, Stevens RD, Tschapka M, Rodrigues FA, Mello MAR. 2021. NeoBat Interactions: a data set of bat-plant interactions in the Neotropics. Submitted. https://github.com/globalbioticinteractions/NeoBat_Interactions/archive/2a6fc0093c18a2b956da43771532bcdad8817dd3.zip 2021-11-13T01:37:15.403Z 637e4bee117333bf7a6e13d0e9cce03f91ad171e1673ccff2c90f9f215ff2364 0.12.2<br> globalbioticinteractions/PIDA Bjorbækmo, M. F. M., Evenstad, A., Røsæg, L. L., Krabberød, A. K., Logares, R. (2019) The planktonic protist interactome: emerging trends after a century of research. doi: https://doi.org/10.1101/587352 https://github.com/globalbioticinteractions/PIDA/archive/b2781145fe334b572e59503df3f7e15a6eb98e95.zip 2021-09-11T01:24:18.244Z 504fa7b91a5a29d85c04136ad50b154c989b63ff00a78e64c456a50323961e29 0.12.2<br> globalbioticinteractions/ansp-para Academy of Natural Sciences Entomology Collection for the Parasite Tracker Project https://github.com/globalbioticinteractions/ansp-para/archive/5e6592ad09ec89ba7958266ad71ec9d5d21d1a44.zip 2021-11-12T23:15:12.885Z 1cd1820f76f63aaac60bbe6c521cd710df345057d17abee1361cc50071e0182a 0.12.2<br> globalbioticinteractions/aps Poelen, JH (2016). Plant pathogen-host interactions scraped from Common Names of Plant Diseases published by the American Phytopathological Society at http://www.apsnet.org/publications/commonnames/Pages/default.aspx using Samara, a Planteome (http://planteome.org) plant-trait scraper. https://github.com/globalbioticinteractions/aps/archive/454b09c5307f6a5dbb16343dfed8bb8fbb54df2f.zip 2021-11-12T23:15:18.387Z c46ed1a78fcbd1bdd20a503b099e9f7a684132101d7ac761d4a3afdd439993b5 0.12.2<br> globalbioticinteractions/aps-turfgrasses Poelen, JH (2017). Plant pathogen-host interactions semi-automatically scraped from Common Names of Plant Diseases published by the American Phytopathological Society at http://www.apsnet.org/publications/commonnames/Pages/Turfgrasses.aspx using Samara, a Planteome (http://planteome.org) plant-trait scraper. https://github.com/globalbioticinteractions/aps-turfgrasses/archive/bdd72cdc780a1963ad56f6a5249350cce21e2bd6.zip 2021-11-12T23:16:23.911Z 7fd6f87de46b667f8e6d6e641ee143dcf30d92c9c739e25e0122119a1a3931c9 0.12.2<br> globalbioticinteractions/asu-asuhic Arizona State University Hasbrouck Insect Collection https://github.com/globalbioticinteractions/asu-asuhic/archive/025665959d3a7a37dc9dcc532c80166359274dd7.zip 2021-11-12T23:16:55.926Z f2efa1252d76a9c1a1637b9af83dd48f99305ee584cf208d851df61423f33d7e 0.12.2<br> globalbioticinteractions/aziz2021 Aziz, S. A., McConkey, K. R., Tanalgo, K., Sritongchuay, T., Low, M.-R., Yong, J. Y., … Racey, P. A. (2021). The Critical Importance of Old World Fruit Bats for Healthy Ecosystems and Economies. Frontiers in Ecology and Evolution, 9. doi:10.3389/fevo.2021.641411 https://github.com/globalbioticinteractions/aziz2021/archive/5308f9369eef0f3ea425425297b713f4da1c0ddc.zip 2021-11-12T23:17:08.831Z 7249b7430c1f77ca651089075b89d339cb459d969f600cec5a740d44662b2f42 0.12.2<br> globalbioticinteractions/barnes Barnes, C. et al., 2008. Predator and prey body sizes in marine food webs. Ecology, 89(3), pp.881–881. Available at: https://doi.org/10.1890/07-1551.1 . Data provided by Carolyn Barnes. Also available at http://www.esapubs.org/Archive/ecol/E089/051/ . https://github.com/globalbioticinteractions/barnes/archive/8acd34a47c039cedc77e876c4a99a3594db6c955.zip 2021-11-12T23:17:14.848Z 8f82ceb66115aafafd58eb4aabfe922a394635655ccbacd8de7dd030bedabecc 0.12.2<br> globalbioticinteractions/bat-co-roosting-database Aja Sherman, Cullen Geiselman. 2021. Bat Co-Roosting Database https://github.com/globalbioticinteractions/bat-co-roosting-database/archive/b2f77ab446ce382ff4283e408ba01d9516b1ad7e.zip 2021-11-12T23:17:56.801Z 3a64a544af1ff81a5ce8f94ebc0484c2289de463c5ea10e77afd9c090117d47a 0.12.2<br> globalbioticinteractions/batbase Geiselman, Cullen K. & Sarah Younger. 2020. Bat Eco-Interactions Database. www.batbase.org https://github.com/globalbioticinteractions/batbase/archive/9c65cfeee1a054f9db8cd8bf6892017fd1b3c840.zip 2021-11-12T23:17:43.175Z 6755e9ff065849a8a7472858e98b62458fab93e4c20006f823e844a3ee77f5f2 0.12.2<br> globalbioticinteractions/batley2018 Batley, Michael (2018): Flower-visiting records for Australian native bees. figshare. Collection. https://doi.org/10.6084/m9.figshare.c.3521328.v4 https://github.com/globalbioticinteractions/batley2018/archive/ef45db23754053cc3c8297f5e121edd1fe97d094.zip 2021-11-12T23:18:02.039Z af394bc1d6d8e5118a06fbc076082d38caf63edc6b6357474c0063b318a4750b 0.12.2<br> globalbioticinteractions/batplant Geiselman, Cullen K. and Tuli I. Defex. 2015. Bat Eco-Interactions Database. www.batplant.org https://github.com/globalbioticinteractions/batplant/archive/a2e1b57052244d5251d17e96ea61f58bea88975e.zip 2021-11-12T23:18:06.291Z 4736455530a1365253d79821bc9df783fc73c965b10efdf504320d2bd478511f 0.12.2<br> globalbioticinteractions/bco-dmo Almeida, F. (2005) Trophic Ecology of Atlantic Cod, off Cape Cod, MA, from F/V Riena Marie NEC-FA2001-1 in the Gulf of Maine from 2001-2004 (NEC-CoopRes project). Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version final) Version Date 2005-10-01 [if applicable, indicate subset used]. http://lod.bco-dmo.org/id/dataset/3087 https://github.com/globalbioticinteractions/bco-dmo/archive/6e68501de3d0c98a40d4176894b0e34a708afbc9.zip 2021-11-12T23:18:24.984Z dfa1db62b2eecb821b5bd7e6fa7db8147228209ecbd8473a2fed71482fe92ea3 0.12.2<br> globalbioticinteractions/becker2020 Daniel Becker, Gregory F Albery, Anna R Sjodin, Timothee Poisot, Tad Dallas, Evan A. Eskew, Maxwell J. Farrell, Sarah Guth, Barbara A Han, Nancy B Simmons, Colin J Carlson. 2020. Predicting wildlife hosts of betacoronaviruses for SARS-CoV-2 sampling prioritization. bioRxiv 2020.05.22.111344; doi: https://doi.org/10.1101/2020.05.22.111344 https://github.com/globalbioticinteractions/becker2020/archive/47c6ad28e1c5058f3c13ca69a59fdf21229e8d7f.zip 2021-11-12T23:18:33.251Z 76667319c7164d237ecd37310a0545c0c6e509c22194c9cdd32959c3f5b33fb6 0.12.2<br> globalbioticinteractions/bee-interaction-database Seltmann, Katja C. 2020. Biotic species interactions about bees (Anthophila) manually extracted from literature. https://github.com/globalbioticinteractions/bee-interaction-database/archive/45e327b9657b2f28604e8156f9e109362c7ceabb.zip 2021-11-12T23:18:38.682Z 8f1ad83c0d74f7307d65e972e39d3de592a9825ff436ca4d28dea2ffa5f4ae4a 0.12.2<br> globalbioticinteractions/bell Bell, K. C., Matek, D., Demboski, J. R., & Cook, J. A. (2015). Expanded Host Range of Sucking Lice and Pinworms of Western North American Chipmunks. Comparative Parasitology, 82(2), 312–321. doi:10.1654/4756.1 . Data provided by Kayce C. Bell. https://github.com/globalbioticinteractions/bell/archive/fea11e28bce47ca9723f5e8f709b43c24e03a5e4.zip 2021-11-12T23:18:43.517Z 1a74b60ec132ea0160eaf23ac304b4fa69cc0533aa1182aac23e51c55b5a0cd8 0.12.2<br> globalbioticinteractions/bello2017 Bello, C., Galetti, M., Montan, D., Pizo, M. A., Mariguela, T. C., Culot, L., Bufalo, F., Labecca, F., Pedrosa, F., Constantini, R., Emer, C., Silva, W. R., da Silva, F. R., Ovaskainen, O. and Jordano, P. (2017), Atlantic frugivory: a plant–frugivore interaction data set for the Atlantic Forest. Ecology, 98: 1729. doi:10.1002/ecy.1818 https://github.com/globalbioticinteractions/bello2017/archive/7718c22ab0d05f9c0c504bbffeac7c404bb3c28b.zip 2021-11-12T23:18:48.771Z 503cb1a56a24ed0a4deb794d441c239919c69b0ce24da7d4a9147343ec1c3fc5 0.12.2<br> globalbioticinteractions/bioinfo Food Webs and Species Interactions in the Biodiversity of UK and Ireland (Online). 2017. Data provided by Malcolm Storey. Also available from http://bioinfo.org.uk. https://zenodo.org/record/1419646/files/globalbioticinteractions/bioinfo-v1.1.zip 2021-11-12T23:18:58.278Z 267f89ae918e5e1d30f564166fb016624c953c2540142d79df0997551ae32133 0.12.2<br> globalbioticinteractions/bold The International Barcode of Life Consortium (2016). International Barcode of Life project (iBOL). Occurrence dataset https://doi.org/10.15468/inygc6 https://github.com/globalbioticinteractions/bold/archive/877bce8ed8ba09e9ae9d01ccc0f63f07f6b67606.zip 2021-11-12T23:20:24.173Z 67f094097b67fb4872e62c55e52f7a691c04b054647f055f4794441f2da07aae 0.12.2<br> globalbioticinteractions/bpbm-ent Bernice Pauahi Bishop Museum, J. Linsley Gressitt Center for Research in Entomology https://github.com/globalbioticinteractions/bpbm-ent/archive/c085398dddd36f8a1169b9cf57de2a572229341b.zip 2021-11-12T23:25:16.025Z 9264ad319d6c8052f783ad98d00a0ea3b0d4731204be42f9e232db02d911714c 0.12.2<br> globalbioticinteractions/brose Brose, U. et al., 2005. Body sizes of consumers and their resources. Ecology, 86(9), pp.2545–2545. Available at: http://dx.doi.org/10.1890/05-0379. https://github.com/globalbioticinteractions/brose/archive/b092256f8ab5e1d7244f7cf8df64e797b7a7ab36.zip 2021-11-12T23:26:45.859Z 583ebd4f1d0a2e27ae2212211bb1a98b27b68bc728f0ae6f16d6d99520492cf4 0.12.2<br> globalbioticinteractions/brose-gateway Brose, U. (2018). GlobAL daTabasE of traits and food Web Architecture (GATEWAy) version 1.0 [Data set]. German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig. https://doi.org/10.25829/IDIV.283-3-756 https://github.com/globalbioticinteractions/brose-gateway/archive/c89ac44d03decc76d59908d74e2a5ff6d3cd618d.zip 2021-11-12T23:26:51.929Z 6e0393c09b7d421ec0eeceaeb59d9af5e832e543b45b80004605932541c84a2f 0.12.2<br> globalbioticinteractions/brtc-para Texas A&M University, Biodiversity Teaching and Research Collections https://github.com/globalbioticinteractions/brtc-para/archive/80cd7f140076fae1c09ebd0bba198b1c306e5661.zip 2021-11-12T23:27:05.708Z 125166481ad721da41eb8ea81e8f93c0534abec9236cd7ec51c70dbb9e3693a7 0.12.2<br> globalbioticinteractions/bthk-database Bat Tree Habitat Key. 2021. Accessed in June 2021 at: http://battreehabitatkey.co.uk/?page_id=18 https://github.com/globalbioticinteractions/bthk-database/archive/f36178cc019853b74f617d0f79574b05148d1f96.zip 2021-11-12T23:27:11.908Z eb758ce39a959de91fde55489630a6658b7975f2711a5091d306bd1cf1856622 0.12.2<br> globalbioticinteractions/byrnes Southern California Bight Kelp Forest Food Web data provided by Jarrett Byrnes. Also available at https://doi.org/10.1111/j.1365-2486.2011.02409.x https://github.com/globalbioticinteractions/byrnes/archive/bbdd207ba89302311d55afa1118e4f450f90d526.zip 2021-11-12T23:27:17.452Z 296c7fae47a978de82f4d94cc048bd8c7b4b8df2ff36687796a4d731bd291fe3 0.12.2<br> globalbioticinteractions/byu-byuc Brigham Young University Arthropod Museum https://github.com/globalbioticinteractions/byu-byuc/archive/4a609ac6a9a03425e2720b6cdebca6438488f029.zip 2021-11-12T23:27:33.801Z f8cf85ca8364ed1e59ec637a717733643ce827bec64958f2c487251ab7f1d966 0.12.2<br> globalbioticinteractions/caps-pest-lists Jorrit H. Poelen. 2017. Species associations manually extracted from US National Cooperative Agricultural Pest Survey at <http://caps.ceris.purdue.edu/pest-lists>. https://github.com/globalbioticinteractions/caps-pest-lists/archive/ee9e8b05c3ff5423e73902c775e5107918a1c730.zip 2021-11-12T23:27:47.099Z becc0da00ccc912402e46e4081d1d98c1dfbc2cf7d47f984fec15913059ea3d1 0.12.2<br> globalbioticinteractions/carril2018 Carril OM, Griswold T, Haefner J, Wilson JS. (2018) Wild bees of Grand Staircase-Escalante National Monument: richness, abundance, and spatio-temporal beta-diversity. PeerJ 6:e5867 https://doi.org/10.7717/peerj.5867 https://github.com/globalbioticinteractions/carril2018/archive/867d6a3b5e6f87d8984cd2b3789d07bb96c6e205.zip 2021-11-12T23:27:54.215Z ead1da224736b97c0b1ddec33e6ba586bcd84d84b979aef3a235d39cb79bdaad 0.12.2<br> globalbioticinteractions/cas-ent California Academy of Sciences Entomology https://github.com/globalbioticinteractions/cas-ent/archive/562aea232ec74ab615f771239451e57b057dc7c0.zip 2021-11-12T23:28:07.379Z 2a49c54e499c6681c76b80f61733a894234a468755b5af87e4986b05a079f880 0.12.2<br> globalbioticinteractions/choy2017 C. Anela Choy, Steven H. D. Haddock, Bruce H. Robison. 2017. Deep pelagic food web structure as revealed by in situ feeding observations. Proc. R. Soc. B 2017 284 20172116; DOI:10.1098/rspb.2017.2116. https://github.com/globalbioticinteractions/choy2017/archive/0c8cb50f9acb40672f6afd604e20a609a1728f03.zip 2021-11-12T23:28:30.888Z 2ec0292fe51d6ec724a86e86c517105957c9a67f4c1d506703b8553d3fe33a22 0.12.2<br> globalbioticinteractions/classen2020 Classen, Alice; Steffan-Dewenter, Ingolf (2020): Plant-pollinator interactions along an elevational gradient on Mt. Kilimanjaro. PANGAEA, https://doi.org/10.1594/PANGAEA.911390 https://github.com/globalbioticinteractions/classen2020/archive/4d5be9199a292e6d9016e2ab0db7bf2e16c2de27.zip 2021-11-12T23:28:36.954Z 01c55aaa3154debe59f7e5a318c55d34be5142d4808a3d90cf4ea9d53ebb0ea6 0.12.2<br> globalbioticinteractions/clover Rory Gibb, Colin J. Carlson, & Maxwell J Farrell. (2021, January 12). viralemergence/clover: Preprint + Zenodo (Version v0.1.1). Zenodo. http://doi.org/10.5281/zenodo.4435128 https://github.com/globalbioticinteractions/clover/archive/974e4d5c92ccd95b83fc7ef4adbe2a8a3bbc38f9.zip 2021-11-12T23:29:08.276Z 53e548d13198d1e4919cc65792a79275fecb0a5fce6caa5c45aa35ea4f485c13 0.12.2<br> globalbioticinteractions/cook Cook, CW. 2012. The early life history and reproductive biology of Cymothoa excisa, a marine isopod parasitizing Atlantic croaker, (Micropogonias undulatus), along the Texas coast. 2012. Masters Thesis. Available at https://repositories.lib.utexas.edu/handle/2152/ETD-UT-2012-08-6285 . https://github.com/globalbioticinteractions/cook/archive/d64b90d5e34413ca7c223532e38081a2e9f956fd.zip 2021-11-12T23:29:14.324Z 75884ae620c7e56cea1343ba7fa76ea1c83c34a927656501956626f155fd41c3 0.12.2<br> globalbioticinteractions/cpc-pollinators National Database Plant Pollinators. Center for Plant Conservation at San Diego Zoo Global. Accessed via https://saveplants.org/national-collection/pollinator-search/ on 2020-06-05. https://github.com/globalbioticinteractions/cpc-pollinators/archive/a64674001b3fce1c5a4896d8c29b4bcb024e6f0b.zip 2021-11-12T23:29:20.001Z 80abac6541124667b3d781fece9ba79da203b0d783e78c2cebdb0c88f63380e0 0.12.2<br> globalbioticinteractions/cruaud Cruaud A, Rønsted N, Chantarasuwan B, Chou LS, Clement WL, Couloux A, Cousins B, Genson G, Harrison RD, Hanson PE, Hossaert-McKey M, Jabbour-Zahab R, Jousselin E, Kerdelhué C, Kjellberg F, Lopez-Vaamonde C, Peebles J, Peng Y, Pereira RAS, Schramm T, Ubaidillah R, van Noort S, Weiblen GD, Yang D, Yodpinyanee A, Libeskind-Hadas R, Cook JM, Rasplus J, Savolainen V (2012) An extreme case of plant-insect co-diversification: figs and fig-pollinating wasps. Systematic Biology 61(6): 1029-1047. http://dx.doi.org/10.1093/sysbio/sys068 https://github.com/globalbioticinteractions/cruaud/archive/0c67c201affa44ec9c47ef0b8d31a77660b53c9a.zip 2021-11-12T23:29:25.241Z a797212e3d56dfc573aecd510fb7dc8654b35e653b468bb32ee83f766529b41a 0.12.2<br> globalbioticinteractions/csvcoll Consortium of Small Vertebrate Collections https://github.com/globalbioticinteractions/csvcoll/archive/4e79e1c45880b17ec4a44a1ed28c69eb4aa258c6.zip 2021-11-12T23:30:06.830Z 27295d49a696ef3addd9f3b6592e09ae4a6e3f91455bbef29ae66e82fe81db37 0.12.2<br> globalbioticinteractions/cu-cuac Clemson University Arthropod Collection https://github.com/globalbioticinteractions/cu-cuac/archive/6cdcbbaa4f7cec8e1eac705be3a999bc5259e00f.zip 2021-11-12T23:30:21.618Z 2431adc8ba4d672d7a8ef1a9e5a8a4acea745a42f3f58ac48104437ae62a816f 0.12.2<br> globalbioticinteractions/cynipidaeNorthAmerica Deans, Andrew (2021). Catalog of Rose Gall, Herb Gall, and Inquiline Gall Wasps (Hymenoptera: Cynipidae) of the United States, Canada, and Mexico https://github.com/globalbioticinteractions/cynipidaeNorthAmerica/archive/d0a4bd0c4a097e2338fc3044f74121325c5b2da9.zip 2021-11-12T23:30:28.772Z 3d7c219bbd59bdefee2cc2ad9c5811484f26dc1c9628cb536dccae8e775757a6 0.12.2<br> globalbioticinteractions/dbatvir Chen L, Liu B, Yang J, Jin Q, 2014. DBatVir: the database of bat-associated viruses. Database (Oxford). 2014:bau021. doi:10.1093/database/bau021 https://github.com/globalbioticinteractions/dbatvir/archive/a6396374fe6d87faf66b22bd0f17dc7f87ec4610.zip 2021-11-12T23:30:46.180Z 1aee1c4934167245e339a62c858c38e87d9801c900dca5471ff2d32870998b1c 0.12.2<br> globalbioticinteractions/delrisco2021 Del Risco, A.A., Montoya, Á.M., García, V. et al. Data synthesis and dynamic visualization converge into a comprehensive biotic interaction network: a case study of the urban and rural areas of Bogotá D.C.. Urban Ecosyst (2021). https://doi.org/10.1007/s11252-021-01133-3 https://github.com/globalbioticinteractions/delrisco2021/archive/4c075a5a20925d9082c0cbc1a95446cd97d7f694.zip 2021-11-12T23:46:17.131Z e75ae32084a88e0ab6baac0e94d312e941759aa5252e3e84bdca84ed9f090293 0.12.2<br> globalbioticinteractions/drodvir Chen L, Liu B, Wu Z, Jin Q, Yang J, 2017. DRodVir: A resource for exploring the virome diversity in rodents. J Genet Genomics. 44(5):259-264. https://github.com/globalbioticinteractions/drodvir/archive/e7db3979b80629cf92830e6905568fe199d251b2.zip 2021-11-12T23:47:20.470Z f0b6bafa0ba29bcec6c61ff18ae7514e4898bdca8340afa60db90d93056848e4 0.12.2<br> globalbioticinteractions/dunne2016SanakIntertidal Intertidal food web manually extracted from Supplementary Data S1 in Dunne, J. A., Maschner, H., Betts, M. W., Huntly, N., Russell, R., Williams, R. J., & Wood, S. A. (2016). The roles and impacts of human hunter-gatherers in North Pacific marine food webs. Scientific Reports, 6, 21179. doi:10.1038/srep21179 https://zenodo.org/record/3929796/files/globalbioticinteractions/dunne2016SanakIntertidal-v0.2.zip 2021-11-12T23:57:44.505Z 2bf663afa2d7ca88ff7f5e91ca6bf901a08ee85a02c0accbdd415f5442d8910b 0.12.2<br> globalbioticinteractions/dunne2016SanakNearshore Nearshore foob web manually extracted from Supplementary Data S1 in Dunne, J. A., Maschner, H., Betts, M. W., Huntly, N., Russell, R., Williams, R. J., & Wood, S. A. (2016). The roles and impacts of human hunter-gatherers in North Pacific marine food webs. Scientific Reports, 6, 21179. doi:10.1038/srep21179 https://zenodo.org/record/3929793/files/globalbioticinteractions/dunne2016SanakNearshore-v0.2.zip 2021-11-12T23:57:50.969Z 8d0369e042ba7e9358d5b9c2cade93a81bf2b000ff48ccfac46539108012a41d 0.12.2<br> globalbioticinteractions/eichenwald2021 Adam Jacob Eichenwald. 2021. Manually transcribed Mojave Desert Tortoise (Gopherus agassizi) interaction records. https://github.com/globalbioticinteractions/eichenwald2021/archive/dea6eb7811739dba6ad9d891cc45ac51e5c48c0d.zip 2021-11-12T23:57:58.708Z 6bc49c1f61d57b02fdbf3625e5c92fe7f89f3a7f28df16938824b9645c260fc8 0.12.2<br> globalbioticinteractions/emec University of California Berkeley, Essig Museum of Entomology https://github.com/globalbioticinteractions/emec/archive/414e3efb04a566824842279a8159b942f4ce8959.zip 2021-11-12T23:58:02.966Z 92f7f3df17e7460e5239b4c0b7407037b9200493cb0fcecad501f659cfc4d2e9 0.12.2<br> globalbioticinteractions/ferrer-paris Ferrer-Paris, José R.; Sánchez-Mercado, Ada Y.; Lozano, Cecilia; Zambrano, Liset; Soto, José; Baettig, Jessica; Leal, María (2014): A compilation of larval host-plant records for six families of butterflies (Lepidoptera: Papilionoidea) from available electronic resources. figshare. http://dx.doi.org/10.6084/m9.figshare.1168861 https://github.com/globalbioticinteractions/ferrer-paris/archive/8cb7c3fc348da26f2493723e8ed64b0f4b40c5cf.zip 2021-11-12T23:58:10.416Z 7db53e93a2a3060379fca736b7b0325edc5daedfc182137e875ec09f1de51d53 0.12.2<br> globalbioticinteractions/fishbase Froese, R. and D. Pauly. Editors. 2018. FishBase. World Wide Web electronic publication. www.fishbase.org, version (10/2018). https://github.com/globalbioticinteractions/fishbase/archive/ffea863a41bd29f9677aa33d5e4733484d2208fc.zip 2021-11-12T23:58:41.733Z e313639f058613f3f301f451dab926f476c1ef7e60cf4f10a16d269a940f22c8 0.12.2<br> globalbioticinteractions/fmnh Field Museum of Natural History IPT https://github.com/globalbioticinteractions/fmnh/archive/6bfc1b7e46140e93f5561c4e837826204adb3c2f.zip 2021-11-13T00:11:06.876Z fadb0d1726029125f3672c02e2ed610909ad45c06cc725358c1e67ce5d6eaa61 0.12.2<br> globalbioticinteractions/foodwebsdatabase Gray, C., Ma, A., Perkins, D., Hudson, L., Figueroa, D., & Woodward, G. (2015). Database of trophic interactions [Data set]. Zenodo. http://doi.org/10.5281/zenodo.13751 https://github.com/globalbioticinteractions/foodwebsdatabase/archive/4aa24df2e9712264a52b148f6486df4b54ee7c49.zip 2021-11-13T00:11:45.851Z b57fe0d4dcdc1585e5ce3912dca07cbcef8a6a28ffbf8ea83b342d668dfcdada 0.12.2<br> globalbioticinteractions/fricke2020 Fricke, E.C., Svenning, J. Accelerating homogenization of the global plant–frugivore meta-network. Nature 585, 74–78 (2020). https://doi.org/10.1038/s41586-020-2640-y https://github.com/globalbioticinteractions/fricke2020/archive/a104a34d91a6267efdc0660ff45ca7783cfc8b20.zip 2021-11-13T00:12:00.080Z 4db4424a537110e9c844185d69fe6d6c2d313a76913d55103bd8ba3a98a8fcad 0.12.2<br> globalbioticinteractions/fsca Florida State Collection of Arthropods https://github.com/globalbioticinteractions/fsca/archive/682f11686317ae81959a043bd6b493ddfc06c438.zip 2021-11-13T00:12:16.204Z 3201ee15dd3738488698c6450fe91e978124b88b152e7293461f8dd08303d31e 0.12.2<br> globalbioticinteractions/gandhi2009 Gandhi, K. J. K., & Herms, D. A. (2009). North American arthropods at risk due to widespread Fraxinus mortality caused by the Alien Emerald ash borer. Biological Invasions, 12(6), 1839–1846. doi:10.1007/s10530-009-9594-1. https://github.com/globalbioticinteractions/gandhi2009/archive/db7c33a520bfcbd39611c20cbbb791513cc24f92.zip 2021-11-13T00:12:21.003Z e8f7083c52c07739eab1e987dccca705bd3f334ef6f84348f22d1ba106213f89 0.12.2<br> globalbioticinteractions/gemina Schriml, L. M., Arze, C., Nadendla, S., Ganapathy, A., Felix, V., Mahurkar, A., … Hall, N. (2009). GeMInA, Genomic Metadata for Infectious Agents, a geospatial surveillance pathogen database. Nucleic Acids Research, 38(Database), D754–D764. doi:10.1093/nar/gkp832 https://github.com/globalbioticinteractions/gemina/archive/5eed2df8c54c28473f1739a593c1f9720874ec57.zip 2021-11-13T00:12:26.023Z 27bb8501aaedf31e4e23435521840944701b8c3154ae480da3f7bd6298fc214b 0.12.2<br> globalbioticinteractions/global-mammal-parasite-database Stephens, P. R., Pappalardo, P. , Huang, S. , Byers, J. E., Farrell, M. J., Gehman, A. , Ghai, R. R., Haas, S. E., Han, B. , Park, A. W., Schmidt, J. P., Altizer, S. , Ezenwa, V. O. and Nunn, C. L. (2017), Global Mammal Parasite Database version 2.0. Ecology, 98: 1476-1476. doi:10.1002/ecy.1799 https://github.com/globalbioticinteractions/global-mammal-parasite-database/archive/64a74bd34820b94dc3bd2fb4f5fe05e1a2c69614.zip 2021-11-13T00:12:31.983Z 3eb5450f955b9eceaee04899ef73e422ce281a4fd68e98ecbf8c69f34f1c5126 0.12.2<br> globalbioticinteractions/global-primate-parasite-database Stephens, P. R., Pappalardo, P. , Huang, S. , Byers, J. E., Farrell, M. J., Gehman, A. , Ghai, R. R., Haas, S. E., Han, B. , Park, A. W., Schmidt, J. P., Altizer, S. , Ezenwa, V. O. and Nunn, C. L. (2017), Global Mammal Parasite Database version 2.0. Ecology, 98: 1476-1476. doi:10.1002/ecy.1799 https://github.com/globalbioticinteractions/global-primate-parasite-database/archive/8837950cc35217c48eb7ecd6de7e70df0ea8a15b.zip 2021-11-13T00:12:38.752Z ff342f95706a1c203dadfe4faf00774e5afc2a1ffe85c443fc002756d806286a 0.12.2<br> globalbioticinteractions/globalwebdb Global Web Database (http://globalwebdb.com): an online collection of food webs. Accessed via https://www.globalwebdb.com/Service/DownloadArchive on 2017-10-12. https://github.com/globalbioticinteractions/globalwebdb/archive/12f2c1ad026e634aea47dc40c0a5e9d463165058.zip 2021-11-13T00:12:56.614Z 069f85826f0d0abcd662f027b6b9b1c5e246570cdb9d75f0546804430ab14f66 0.12.2<br> globalbioticinteractions/grange2021 Grange, Z.L. et al., 2021. Ranking the risk of animal-to-human spillover for newly discovered viruses. Proceedings of the National Academy of Sciences, 118(15), p.e2002324118. Available at: http://dx.doi.org/10.1073/pnas.2002324118. https://github.com/globalbioticinteractions/grange2021/archive/746b67a0cece1c5cd71ef5d9a6a393948e816d8a.zip 2021-11-13T00:13:02.744Z 2d3bfbf3731fb794d7eb043aa8199c13ceb5bb4dbdc215dee63d709d4499403e 0.12.2<br> globalbioticinteractions/gray2015 Gray C, Ma A, Perkins D, Hudson L, Figueroa D, Woodward G (2015). Database of trophic interactions. Zenodo. https://doi.org/10.5281/zenodo.13751 https://github.com/globalbioticinteractions/gray2015/archive/95bfd96cc46e5d58482fd2bdad0677eeb74ba0f4.zip 2021-11-13T00:13:15.619Z ad8440e20e4bfb0fe8d9a36b1b20793060235eed67bdb2f62a5d9e18e7b874bc 0.12.2<br> globalbioticinteractions/gryseels2020 Gryseels, S., De Bruyn, L., Gyselings, R., Calvignac‐Spencer, S., Leendertz, F.H. and Leirs, H. (2020), Risk of human‐to‐wildlife transmission of SARS‐CoV‐2. Mam. Rev.. https://doi.org/10.1111/mam.12225 https://github.com/globalbioticinteractions/gryseels2020/archive/10002f72023222002ff20833cba43ec5871092cc.zip 2021-11-13T00:13:21.481Z b9fedfe0a86e7ee08aedc04aa362d7b3290534d7982e70b695146257f344dfe2 0.12.2<br> globalbioticinteractions/hafner Shan Kothari, Pers. Comm. 2014. Dataset extracted by Shan Kothari from: Mark S. Hafner, Philip D. Sudman, Francis X. Villablanca, Theresa A. Spradling, James W. Demastes, Steven A. Nadler. (1994). Disparate Rates of Molecular Evolution in Cospeciating Hosts and Parasites. Science 265: 1087-1090. https://github.com/globalbioticinteractions/hafner/archive/72923f0d28b3fbe63c9a199865a131cffedf2877.zip 2021-11-13T00:13:26.891Z bdbbf4fba2a23ce17b5863d31b9de4752d30eddeb379601071942984ca66f196 0.12.2<br> globalbioticinteractions/hechinger2011 Ryan F. Hechinger, Kevin D. Lafferty, John P. McLaughlin, Brian L. Fredensborg, Todd C. Huspeni, Julio Lorda, Parwant K. Sandhu, Jenny C. Shaw, Mark E. Torchin, Kathleen L. Whitney, and Armand M. Kuris 2011. Food webs including parasites, biomass, body sizes, and life stages for three California/Baja California estuaries. Ecology 92:791–791. https://doi.org/10.1890/10-1383.1 . https://github.com/globalbioticinteractions/hechinger2011/archive/28e6836db3fe18d17e029187971d94e9af8bf9d1.zip 2021-11-13T00:13:33.057Z 446c616889bfdf5ef1a9e82ce8790565e168aedabce4b1e37246ff517dc7ffce 0.12.2<br> globalbioticinteractions/hoenle2019 Hoenle, P.O. et al., 2019. Species‐level predation network uncovers high prey specificity in a Neotropical army ant community. Molecular Ecology, 28(9), pp.2423–2440. Available at: http://dx.doi.org/10.1111/mec.15078. https://github.com/globalbioticinteractions/hoenle2019/archive/74cc15a3473e1354fc6cf424688221b1de777afc.zip 2021-11-13T00:13:37.890Z 09fedaa28bbe19e2b428bec6f44eec8a9b0f1ca92986811b069293c38f987bf2 0.12.2<br> globalbioticinteractions/ices International Council for the Exploration of the Sea (ICES). Year of The Stomach Datasets. https://github.com/globalbioticinteractions/ices/archive/c2df6d82d5b49de5ac5567e6022c405d4507b3cc.zip 2021-11-13T00:13:43.381Z 693e9b4794d8cb0aaa67e16e1583e4ccb0662a92572ed10912e50edd1c873968 0.12.2<br> globalbioticinteractions/inhs-insects Illinois Natural History Survey Insect Collection https://github.com/globalbioticinteractions/inhs-insects/archive/38692496f590577074c7cecf8ea37f85d0594ae1.zip 2021-11-13T00:14:59.067Z d3e25559e726bcd1e48024f406175898c20b64e9bbf3806f35bbd9c23db961e5 0.12.2<br> globalbioticinteractions/jeucht2021 Laura van der Jeught & Quentin Groom. 2021. Observations of humans handling bats with gloves or bare hands. https://github.com/globalbioticinteractions/jeucht2021/archive/aaa641879d2b5085a45bdc7f208a3795de5ac8d5.zip 2021-11-13T00:15:21.226Z 98ddafbaaca6f85ae6ffdabb76863fc8b77b6340acd70b7d9ff260db6f173ec1 0.12.2<br> globalbioticinteractions/jeught2021 Laura van der Jeught & Quentin Groom. 2021. Observations of humans handling bats with gloves or bare hands. https://github.com/globalbioticinteractions/jeught2021/archive/aaa641879d2b5085a45bdc7f208a3795de5ac8d5.zip 2021-11-13T00:15:26.215Z 98ddafbaaca6f85ae6ffdabb76863fc8b77b6340acd70b7d9ff260db6f173ec1 0.12.2<br> globalbioticinteractions/jorissen2020 Jorissen, M.W.P., Huyse, T., Pariselle, A. et al. Historical museum collections help detect parasite species jumps after tilapia introductions in the Congo Basin. Biol Invasions (2020). https://doi.org/10.1007/s10530-020-02288-4 https://github.com/globalbioticinteractions/jorissen2020/archive/bd6e37f5a0a80ca678d36bf94d9e39a4f168ba09.zip 2021-11-13T00:15:32.266Z ffc82fc74ce548e8afd4abef0d49f996378b3d0b0c8ac8dc76260de10c608990 0.12.2<br> globalbioticinteractions/jsonld-template-dataset Chris Mungall. 2015. Example of sharing species interactions data in JSON-LD. https://zenodo.org/record/3988628/files/globalbioticinteractions/jsonld-template-dataset-v0.3.zip 2021-11-13T00:15:37.712Z b90f454b7b3e4a5a53ff74fa89ecb422e843604e8bac428faa54f8e65ee11f62 0.12.2<br> globalbioticinteractions/kelpforest Beas-Luna, R., A. Black, M. Novak, M. Carr, J. Caselle, J. Estes, P. Levin, T. Tinker. (2014) An online database of species interactions for informing ecosystem models http://kelpforest.ucsc.edu. PlosOne PONE-D-14-18906R1 https://github.com/globalbioticinteractions/kelpforest/archive/a20ce900fc3b18bc849f0521227c0ab890e8e765.zip 2021-11-13T00:15:42.272Z aefa506f714f88e4abd68a50a9c6a6c9b1f7b0803a33ac2d0307a577d13c3cae 0.12.2<br> globalbioticinteractions/known-projects Jorrit H. Poelen. 2017. Species interactions associated with known species interaction datasets. https://github.com/globalbioticinteractions/known-projects/archive/c85871e495988d50bd37ba0c04d2eec6497acb4d.zip 2021-11-13T00:15:52.048Z a77a6c3f8d499b79e0e825d47132c7349fb49b6c9ee13dce9ce2919dbf19e5b3 0.12.2<br> globalbioticinteractions/ku-semc University of Kansas Natural History Museum https://github.com/globalbioticinteractions/ku-semc/archive/5180d6904c8e1e6be12897bae9c1c7c650da3ab9.zip 2021-11-13T00:15:56.135Z ec50cf8c850ea2e4a2a8dae698fe7ab9e8b74423e6e685af9b467b93dee0ad8d 0.12.2<br> globalbioticinteractions/lacm-lacmec Natural History Museum of Los Angeles County https://github.com/globalbioticinteractions/lacm-lacmec/archive/216b0e456b1974cdc52b455a403346db9b6fe875.zip 2021-11-13T00:16:01.333Z b51428e078c6d1b361a6ba2e953b997ef63be72ebfe6a739d0d74fbcbcd02316 0.12.2<br> globalbioticinteractions/lamanna2020 LaManna, JA, Burkle, LA, Belote, RT, Myers, JA. Biotic and abiotic drivers of plant–pollinator community assembly across wildfire gradients. J Ecol. 2020; 00: 1– 14. https://doi.org/10.1111/1365-2745.13530 . https://github.com/globalbioticinteractions/lamanna2020/archive/f8f0791ae6261bf65eee5156413c5c3a370a4359.zip 2021-11-13T00:16:07.541Z a5ce2810f75bb0d4cc6f4f7be1d9a26c50534eb3fb9f5f9e49ca3eeaf7dd4746 0.12.2<br> globalbioticinteractions/life-watch-greece Faulwetter S, Markantonatou V, Pavloudi C, Papageorgiou N, Keklikoglou K, Chatzinikolaou E, Pafilis E, Chatzigeorgiou G, Vasileiadou K, Dailianis T, Fanini L, Koulouri P, Arvanitidis C (2014) Polytraits: A database on biological traits of marine polychaetes. Biodiversity Data Journal 2: e1024. doi:10.3897/BDJ.2.e1024 . Available at http://polytraits.lifewatchgreece.eu. https://github.com/globalbioticinteractions/life-watch-greece/archive/8459beebe62fb55450ea0c3b223668a782f2dd7d.zip 2021-11-13T00:16:15.718Z 8e1d23cb3f5a224879225e942a3c0f07f2f05752f6a1b7f34beb82cc4eb9be22 0.12.2<br> globalbioticinteractions/light2019 Light, J.E., Eckerlin, R.P. & Durden, L.A., 2019. Checklist of ectoparasites of Canidae and Felidae in México. Therya, 10(2), pp.109–119. Available at: https://doi.org/10.12933/therya-19-784. https://github.com/globalbioticinteractions/light2019/archive/6d859cc1ce6aba52144b9a43237f1adf5ac17dd4.zip 2021-11-13T00:16:20.628Z b4bd55aba7dc3ea48617386159fcc08016689fb6c0630d7f47de307dd740ad97 0.12.2<br> globalbioticinteractions/linnaeus1758 Agosti, Donat. 2020. Transcription of Linné, C. von, 1758. Systema naturae per regna tria naturae secundum classes, ordines, genera, species, cum characteribus, differentiis, synonymis, locis. Available at: http://dx.doi.org/10.5962/bhl.title.542 . https://github.com/globalbioticinteractions/linnaeus1758/archive/a818060080fa04a88dac6df1ae5b897304ae8877.zip 2021-11-13T00:16:26.645Z b9da2286e5419cfb64b09604eabb7c73a4955d63732523093233e537c8767186 0.12.2<br> globalbioticinteractions/lupinus-nipomensis-interactions-2017 Justin Luong. 2017. Lupinus nipomensis arthropod association study. https://github.com/globalbioticinteractions/lupinus-nipomensis-interactions-2017/archive/0a70dc845243d877361c69d821442ce2b2777f2c.zip 2021-11-13T00:16:33.419Z 0ee9e3f52968f672947d27c4e25f1788e0bad78ccbf3ddb2e653191e2d0e82ee 0.12.2<br> globalbioticinteractions/malavi BENSCH, S., HELLGREN, O. and PÉREZ‐TRIS, J. (2009), MalAvi: a public database of malaria parasites and related haemosporidians in avian hosts based on mitochondrial cytochrome b lineages. Molecular Ecology Resources, 9: 1353-1358. https://doi.org/10.1111/j.1755-0998.2009.02692.x https://github.com/globalbioticinteractions/malavi/archive/cf0190bb76f5c2150e4db425be7d5d12bd65fe1a.zip 2021-11-13T00:16:37.745Z 1a48e9b350c345fef79401c443c8a21166fcc31f6f93428d96bfec3a27013792 0.12.2<br> globalbioticinteractions/mangal https://mangal.io - the ecological interaction database. https://github.com/globalbioticinteractions/mangal/archive/496346227463f7003c1e4e6620693325b4cb294d.zip 2021-11-13T00:17:51.582Z aab72fcdb24565b15b4127cf603f3e68854a69fbba5859198f00642605f4e59e 0.12.2<br> globalbioticinteractions/mcz Harvard University M, Morris P J (2021). Museum of Comparative Zoology, Harvard University. Museum of Comparative Zoology, Harvard University. https://github.com/globalbioticinteractions/mcz/archive/b33635a9fc75fd7931ad968cbc11180e6467bfd7.zip 2021-11-13T00:30:00.966Z 04a214d42105ae302af82c6f72fcbe45ab09a147423c3b4f1e6d382750d87abd 0.12.2<br> globalbioticinteractions/min-umsp UMSP / University of Minnesota / University of Minnesota Insect Collection https://github.com/globalbioticinteractions/min-umsp/archive/ea14a3d2655fbb0504597ec60a6d3d86b06b1823.zip 2021-11-13T00:33:43.140Z 9b521f8e1f86cea8c9ea951a86f9bf39f288dde7060d5b96cf435462c8706318 0.12.2<br> globalbioticinteractions/mollentze2019 Mollentze, Nardus, & Streicker, Daniel G. (2019). Viral zoonotic risk is homogenous among taxonomic orders of mammalian and avian reservoir hosts (Version 1.0.0) [Data set]. Zenodo. http://doi.org/10.5281/zenodo.3516613 https://github.com/globalbioticinteractions/mollentze2019/archive/ad12dc74d03c3d992618f16c37cafb7f7ffd9d01.zip 2021-11-13T00:33:55.579Z 126d34d09dca682373d528913c3bd4e0b978185c6026f9b31700e563e602e198 0.12.2<br> globalbioticinteractions/mouritsen2011 Kim N. Mouritsen, Robert Poulin, John P. McLaughlin and David W. Thieltges. 2011. Food web including metazoan parasites for an intertidal ecosystem in New Zealand. Ecology 92:2006. https://doi.org/10.1890/11-0371.1 https://github.com/globalbioticinteractions/mouritsen2011/archive/a2a1e658b35c2add5b6cacd63746c2815cf7083e.zip 2021-11-13T00:34:00.377Z fbf6da16d87366912c5cc92e3dda8e6ad52a2901af7f2ba22e7b413676a7ad23 0.12.2<br> globalbioticinteractions/mpm Milwaukee Public Museum Biological Collections Data Portal https://github.com/globalbioticinteractions/mpm/archive/9f44e99c49ec5aba3f8592cfced07c38d3223dcd.zip 2021-11-13T00:34:15.952Z 5a9f08e21c44bf4450b3bc9715ea0cd55f5951be9d923765f2063460d0ecc5ef 0.12.2<br> globalbioticinteractions/msb-host The MSB Division of Parasitology Collection https://github.com/globalbioticinteractions/msb-host/archive/d7640695a903efd81acbaf494267ae2676e3a6e1.zip 2021-11-13T00:34:25.461Z f4e23b8d634d4e8e6af7ba8b1f4630e2cce50e83b959fd2762797ff95c68e868 0.12.2<br> globalbioticinteractions/msu-msuc The Albert J. Cook Arthropod Research Collection https://github.com/globalbioticinteractions/msu-msuc/archive/38960906380443bd8108c9e44aeff4590d8d0b50.zip 2021-11-13T01:23:02.030Z f1c1de76413bece7cc53a4838049b46eb17177960faebba685833f43f8a3adcf 0.12.2<br> globalbioticinteractions/mycodb Chaudhary, V. B., Rúa, M. A., Antoninka, A., Bever, J. D., Cannon, J., Craig, A., … Hoeksema, J. D. (2016). MycoDB, a global database of plant response to mycorrhizal fungi. Scientific Data, 3, 160028. doi:10.1038/sdata.2016.28 https://github.com/globalbioticinteractions/mycodb/archive/80a9030368f1a3a3070fe92ebef577a62ee04d25.zip 2021-11-13T01:23:20.590Z a88faf69b0e4f441cc6e16b9b9dcd2ded1e5abb38d76c77665418c4ef81bbc76 0.12.2<br> globalbioticinteractions/mycoportal Mycology Collections Data Portal (MyCoPortal). 2020. https://mycoportal.org https://github.com/globalbioticinteractions/mycoportal/archive/375a26416ad05b5397dc6e525b3d0f1df94e0cc2.zip 2021-11-13T01:23:38.243Z 200678c52a143953dcc2f39cccf78ee2ab086f649642d16815f6c451ca9b5827 0.12.2<br> globalbioticinteractions/natural-history-museum-london-interactions-bank Ed Baker; Ian J. Kitching; George W. Beccaloni; Amoret Whitaker et al. (2016). Dataset: NHM Interactions Bank. Natural History Museum Data Portal (data.nhm.ac.uk). https://doi.org/10.5519/0060767 https://github.com/globalbioticinteractions/natural-history-museum-london-interactions-bank/archive/8268bbbabd865dc1c1951083f56988b23dabbae7.zip 2021-11-13T01:24:34.089Z 1fef6ad58c57b3ab1e277aebe6e0e2efec29cac955191030c2596967f29f6be2 0.12.2<br> globalbioticinteractions/neon-biorepo NEON Biorepository Portal at Arizona State University (ASU) https://github.com/globalbioticinteractions/neon-biorepo/archive/655087ad0f78f06a215228d16fa6f9ae7130e529.zip 2021-11-13T01:40:26.687Z 266037b55736f05ec819caabdd3997164e4b3b84aa869b6376f23e4cae69b3a5 0.12.2<br> globalbioticinteractions/noaa-reem Alaska Fisheries Science Center, 2021: AFSC/REFM: North Pacific Groundfish Diet Data 1981-present, Aydin, K., https://www.fisheries.noaa.gov/inport/item/20485. Resource Ecology and Ecosystem Modeling (REEM) - Groundfish Diet Data of Aleutian Islands, Alaska Fisheries Science Center, NOAA; Alaska Fisheries Science Center, 2021: AFSC/REFM: North Pacific Groundfish Diet Data 1981-present, Aydin, K., https://www.fisheries.noaa.gov/inport/item/20485. Resource Ecology and Ecosystem Modeling (REEM) - Groundfish Diet Data of Gulf of Alaska, Alaska Fisheries Science Center, NOAA; Alaska Fisheries Science Center, 2021: AFSC/REFM: North Pacific Groundfish Diet Data 1981-present, Aydin, K., https://www.fisheries.noaa.gov/inport/item/20485. Resource Ecology and Ecosystem Modeling (REEM) - Groundfish Diet of Data Bering Sea, Alaska Fisheries Science Center, NOAA https://zenodo.org/record/5181449/files/globalbioticinteractions/noaa-reem-v0.2.zip 2021-11-13T01:41:34.379Z 0a427dca06cbea14ca4e4d7b39438ad60ef901d257a13ce6594f8f22291a7c12 0.12.2<br> globalbioticinteractions/olival2017 Olival, K. J., Hosseini, P. R., Zambrana-Torrelio, C., Ross, N., Bogich, T. L., & Daszak, P. (2017). Host and viral traits predict zoonotic spillover from mammals. Nature, 546(7660), 646–650. doi:10.1038/nature22975 https://github.com/globalbioticinteractions/olival2017/archive/ab6489f1d048fa8bbc8488549444fda33f290d0a.zip 2021-11-13T01:41:55.717Z 823319fc1cdf2351f1ef7a1281bb5808423d55da44734f6542fe83f5fc351371 0.12.2<br> globalbioticinteractions/olivier2019 Olivier, Pierre et al. (2019), Exploring the temporal variability of a food web using long‐term biomonitoring data, Wiley, Article-journal, https://doi.org/10.1111/ecog.04461 https://github.com/globalbioticinteractions/olivier2019/archive/f0b3b30756aa536ebb75855cbf40cb89aaf173bf.zip 2021-11-13T01:42:00.536Z c566a26023ba39501ca706bfdef80d42841919053c91fca57b19dfd807bcfdf8 0.12.2<br> globalbioticinteractions/osal-ar Ohio State University Acarology Laboratory https://github.com/globalbioticinteractions/osal-ar/archive/876269d66a6a94175dbb6b9a604897f8032b93dd.zip 2021-11-13T01:42:04.727Z 207f119817c41eda546a4ba34b8298eade3c73193696cb42cd6c96cbf70655d7 0.12.2<br> globalbioticinteractions/pensoft-dwca Pensoft Darwin Core Archives with associateTaxa columns https://github.com/globalbioticinteractions/pensoft-dwca/archive/ee8831a2a391203f4fa8c05a0ddd927202b234bf.zip 2021-11-13T01:42:17.554Z dd308359e12eec25dc39a87f3a727092916a8e2276fa2bda7fa13dec42831adf 0.12.2<br> globalbioticinteractions/pensoft-ipt Pensoft Darwin Core Archives available via Integrated Publication Toolkit https://github.com/globalbioticinteractions/pensoft-ipt/archive/4ad4b47978324681289e36f8c2b247b1bcc97b1a.zip 2021-11-13T01:46:32.496Z b14f6dabbb571955129fe64ae362df237273702d980fa6853577170dad337ab5 0.12.2<br> globalbioticinteractions/pensoft-table De Rojas M, Doña J, Dimov I (2020) A comprehensive survey of Rhinonyssid mites (Mesostigmata: Rhinonyssidae) in Northwest Russia: New mite-host associations and prevalence data. Biodiversity Data Journal 8: e49535. https://doi.org/10.3897/BDJ.8.e49535 https://github.com/globalbioticinteractions/pensoft-table/archive/3488e0397ca4e083d5eca6949951e426a75713e3.zip 2021-11-13T01:46:37.435Z 06fb268eacb8c31bd6ba9bcf8046f1322284c7aab63fcb99793e8384f6e4c83b 0.12.2<br> globalbioticinteractions/planque2014 Benjamin Planque, Raul Primicerio, Kathrine Michalsen, Michaela Aschan, Grégoire Certain, Padmini Dalpadado, Harald Gjøsæater, Cecilie Hansen, Edda Johannesen, Lis Lindal Jørgensen, Ina Kolsum, Susanne Kortsch, Lise-Marie Leclerc, Lena Omli, Mette Skern-Mauritzen, and Magnus Wiedmann 2014. Who eats whom in the Barents Sea: a food web topology from plankton to whales. Ecology 95:1430–1430. https://doi.org/10.1890/13-1062.1 https://github.com/globalbioticinteractions/planque2014/archive/0994e910009d44fe2effb51a354927ef6302cd26.zip 2021-11-13T01:46:45.884Z f51b20d44f1a4dc31f6e2fa9814d6efc4fb2b6de4ffd859b1c7781fa9485813d 0.12.2<br> globalbioticinteractions/plazi-covid19 Marcus Guidoti, Tatiana Ruschel, Donat Agosti. 2020. Corona virus related biotic associations manually extracted from literature. Plazi. https://github.com/globalbioticinteractions/plazi-covid19/archive/326578b0d9f974760dcd2e962d86636a6487a6c0.zip 2021-11-13T01:46:50.243Z 1e5da6ca583b4fb76ecbf3a09fb25ae2f16fd483345ca729911ae009e4d46ae3 0.12.2<br> globalbioticinteractions/pocock2012 Pocock, Michael J. O.; Evans, Darren M.; Memmott, Jane (2012), Data from: The robustness and restoration of a network of ecological networks, Dryad, Dataset, https://doi.org/10.5061/dryad.3s36r118 https://github.com/globalbioticinteractions/pocock2012/archive/be57f1d26a208fb4b2adfad72e17a3b88abe5bf9.zip 2021-11-13T01:46:56.903Z 13274e0bc67bb45319b4e15c36b280e03d880f39491bd88cbe3919cc1e8f413a 0.12.2<br> globalbioticinteractions/pocock2021 Pocock, Michael J.O., Schmucki, Reto, & Bohan, David A. (2020). Inferring quantitative species interactions of seeds and seed-feeding carabid beetles from ecological survey data [Data set]. Zenodo. https://doi.org/10.5281/zenodo.4252783 https://github.com/globalbioticinteractions/pocock2021/archive/640388beda95447a7c35fd9e98b9c0faa38028cd.zip 2021-11-13T01:47:04.058Z 414ea4288ad26c69c43b3f8ee36764f27f2493499d7758c2b718ed301cb2d297 0.12.2<br> globalbioticinteractions/pollination_catalogue Giselle Muschett & Francisco E. Fontúrbel. 2021. A comprehensive catalogue of plant – pollinator interactions for Chile https://github.com/globalbioticinteractions/pollination_catalogue/archive/d5cce1864ec2d1164c392d07f6ac118e142bb7da.zip 2021-11-13T01:47:09.788Z 2e538b940327e94529a430015668bbef81e9c59870d256b25fd32dc4eacb174a 0.12.2<br> globalbioticinteractions/pozsgai2021 Pozsgai, G., Ben Fekih, I., Kohnen, M.V. et al. Associations between carabid beetles and fungi in the light of 200 years of published literature. Sci Data 8, 294 (2021). https://doi.org/10.1038/s41597-021-01072-w https://github.com/globalbioticinteractions/pozsgai2021/archive/a9a7fba047125c1b4e921c84ddc69d3d6a932718.zip 2021-11-13T01:47:14.648Z b747c98cf1b46c4b7bd1f11754777f373daeff7c354a59f21a488a0669c2a468 0.12.2<br> globalbioticinteractions/preston2012 Daniel L. Preston, Sarah A. Orlofske, John P. McLaughlin, and Pieter T. J. Johnson. 2012. Food web including infectious agents for a California freshwater pond. Ecology 93:1760. https://doi.org/10.1890/11-2194.1 https://github.com/globalbioticinteractions/preston2012/archive/10676b041317d933f16c089b819f6669da42396b.zip 2021-11-13T01:47:21.207Z 168fe500cb70da3642ee8fa65ec7300e55dc1c5c25f680fb2a9b9e60cd028a02 0.12.2<br> globalbioticinteractions/psuc-ento Frost Entomological Museum, Pennsylvania State University https://github.com/globalbioticinteractions/psuc-ento/archive/30b1f96619a6e9f10da18b42fb93ff22cc4f72e2.zip 2021-11-13T01:47:42.319Z 8a7fc654e7137b997ff258d3038a9c6e65747862492d4afbe4842c5126e1ebae 0.12.2<br> globalbioticinteractions/pu-perc Purdue Entomological Research Collection https://github.com/globalbioticinteractions/pu-perc/archive/e0909a7ca0a8df5effccb288ba64b28141e388ba.zip 2021-11-13T01:48:01.986Z 91dfb04943f379056a71f045e25806eb42163eace0d6205434190c73600e1b39 0.12.2<br> globalbioticinteractions/raymond Raymond, B., Marshall, M., Nevitt, G., Gillies, C., van den Hoff, J., Stark, J.S., Losekoot, M., Woehler, E.J., and Constable, A.J. (2011) A Southern Ocean dietary database. Ecology 92(5):1188. Available from http://dx.doi.org/10.1890/10-1907.1 . Data set supplied by Ben Raymond. https://github.com/globalbioticinteractions/raymond/archive/a8bcc40af606e5677da715a3d1a8109178e8c998.zip 2021-11-13T01:48:11.347Z d5bd4a04ebb95e0b27c7c78f9a11dcf233e3985318390f1ddc95d9d3405c8008 0.12.2<br> globalbioticinteractions/reeder2021 DeeAnn Reeder, Natalie Weber, Dina Dechman, Juliane Schaer, Sébastien Puechmaille, Wanda Markotter, Jack Sutton, and Martina Nagy 2021. Preliminary data on literature review of bat-virus associations. https://github.com/globalbioticinteractions/reeder2021/archive/c7095b451c36b232e5ad1b0cc90ed912c6fed31d.zip 2021-11-15T23:12:08.633Z 46511efff73d76d95ada988ad9ee25d7efb7fcca8904adbca12ee09dbc0e98cc 0.12.2<br> globalbioticinteractions/refuted-biotic-interactions-by-eol Katja Schulz. 2020. Collection of refuted species associations claims provided by Encyclopedia of Life. https://github.com/globalbioticinteractions/refuted-biotic-interactions-by-eol/archive/67dc570987c6897fca00b81247edbdb0b1861a36.zip 2021-11-13T01:48:16.391Z 99c2c41e390f632cf9976c500b4010b664a069e344c79e2a5e07bce445140fed 0.12.2<br> globalbioticinteractions/refuted-interaction-data Jorrit H. Poelen. 2019. Collection of refuted species associations claims. https://github.com/globalbioticinteractions/refuted-interaction-data/archive/bf6dedbd98f8f69e654cda6f27f27ca842b73a78.zip 2021-11-13T01:48:25.313Z baf974bac77526a4ec01edfe1bf5f859956226f16129975e2a590465e2c0109d 0.12.2<br> globalbioticinteractions/robledo García-Robledo C, Erickson DL, Staines CL, Erwin TL, Kress WJ. Tropical Plant–Herbivore Networks: Reconstructing Species Interactions Using DNA Barcodes Heil M, editor. PLoS ONE [Internet]. 2013 January 8;8(1):e52967. Available from: http://dx.doi.org/10.1371/journal.pone.0052967 https://github.com/globalbioticinteractions/robledo/archive/79bdf611d65b0db0c8bca17ac91e33785111a57f.zip 2021-11-13T01:48:29.858Z f2f5fb7a60f17512d257b2dce5eb412d4d0ca507239d92e6edb5264ec1024e65 0.12.2<br> globalbioticinteractions/roopnarine Roopnarine, P. D., & Hertog, R. (2013). Detailed Food Web Networks of Three Greater Antillean Coral Reef Systems: The Cayman Islands, Cuba, and Jamaica. Dataset Papers in Ecology, 2013, 1–9. doi:10.7167/2013/857470 https://github.com/globalbioticinteractions/roopnarine/archive/ae151d9e9b686d2ed73215ce50b81196bd66585f.zip 2021-11-13T01:48:35.994Z 5abcae33dd04b7d25d97f7c2a426190ff6c63b78fefcb106f39feeecdec90770 0.12.2<br> globalbioticinteractions/rskm-owlpellet Frier D (2020): Royal Saskatchewan Museum - Owl Pellet Collection. v2.1. Royal Saskatchewan Museum. Dataset/Occurrence. https://doi.org/10.5886/f0xsbu https://github.com/globalbioticinteractions/rskm-owlpellet/archive/ae69a4b244f9d2e050b656ea4240f791c72299a3.zip 2021-11-13T01:48:42.355Z 67ed8b68152740dd70210a950adf386eae91c11a53534b36139db3dd0ee04181 0.12.2<br> globalbioticinteractions/saito2016 Saito MU, Jinbo U, Yago M, Kurashima O, Ito M (2016) Larval host records of butterflies in Japan. Ecological Research 31: 491. doi:10.1007/s11284-016-1365-8 https://github.com/globalbioticinteractions/saito2016/archive/59c21ea94a3859dd212040cf0a92a2ce5de107db.zip 2021-11-13T01:49:02.635Z 066a4ffad5297111cb7d27cd2be41b9e2e2c5fa5247b727da3fc69b11fc20b48 0.12.2<br> globalbioticinteractions/saproxylic Stokland, J.; Dahlberg, A.; Meyke, E.; Schigel, D.; Siitonen, J. (2006) The Nordic saproxylic database - a comprehensive overview of the biological diversity in dead wood. 1st European Congress of Conservation Biology - "Diversity for Europe". August 2006, Hungary. Book of Abstracts. Society of Conservation Biology (USA) & Blackwell Publishing (UK) p. 159 . https://github.com/globalbioticinteractions/saproxylic/archive/19d5c932d77059f5ef3d6134e1539f0bbab460e7.zip 2021-11-13T01:49:20.808Z 8abe998264d163be9300893acfd59be4e28f5ec092ea45f7b89f74b8179d8e47 0.12.2<br> globalbioticinteractions/sawflies Andrew J Green. 2020. Larval Foodplants of British and Irish Sawflies. Accessed via https://www.sawflies.org.uk/wp-content/uploads/2019/04/Symphyta-larval-foodplants-latest-version.xlsx on 2020-12-28. https://github.com/globalbioticinteractions/sawflies/archive/22cdc964a4c281c3130c7225ce63ea9b4b70e5ce.zip 2021-11-13T01:49:27.441Z 890c63b3f2766681a9acb55189a44ec513d51c51c5881648aad731d03ff8ece9 0.12.2<br> globalbioticinteractions/scan Symbiota Collections of Arthropods Network (SCAN) https://github.com/globalbioticinteractions/scan/archive/a27cc20410daa12d736914bf66d86f65911d762c.zip 2021-11-13T01:59:31.907Z 5da3cf42f823d45efeabe96fa35e43697837913d9a8ea62bfa7a1e507d5a2a64 0.12.2<br> globalbioticinteractions/sdnhm-sdmc San Diego Natural History Museum https://github.com/globalbioticinteractions/sdnhm-sdmc/archive/7238d8b804f543250eb487b43144e1125fb3688a.zip 2021-11-13T02:00:01.179Z 045c0ec86487b73de58a74a61ed5b14a94c7618275a11e4c54745b076c4f9137 0.12.2<br> globalbioticinteractions/sealifebase Palomares, M.L.D. and D. Pauly. Editors. 2018. SeaLifeBase. World Wide Web electronic publication. www.sealifebase.org, version (10/2018). https://github.com/globalbioticinteractions/sealifebase/archive/d613f898a00ebaf4555eff844a71550435038e81.zip 2021-11-13T02:00:29.406Z 52ab3e23a08813afa7e4e78955c75d4c8f4f4e8bf0d98b76bd1429ccf218b3ef 0.12.2<br> globalbioticinteractions/seinet Southwest Environmental Information Network (SEINet) https://github.com/globalbioticinteractions/seinet/archive/baa53c99e22b5cf09fdfdaaae99612ee746c4d84.zip 2021-11-13T02:09:07.773Z f537da655fb85007e903e103b9b6329b593356a1f208f44039d3c0b758cb1378 0.12.2<br> globalbioticinteractions/shaw2020 Shaw, LP, Wang, AD, Dylus, D, et al. The phylogenetic range of bacterial and viral pathogens of vertebrates. Mol Ecol. 2020; 29: 3361– 3379. https://doi.org/10.1111/mec.15463 https://github.com/globalbioticinteractions/shaw2020/archive/bb9ab857b7fdbb4e931752d01b43d37b3ada77cf.zip 2021-11-13T02:09:18.002Z bf7ada25d888b576956dce581229ada82e9f2e574fe499cbf9e2829ba514b3f7 0.12.2<br> globalbioticinteractions/siad Species Interactions of Australia Database (SIAD): Helping us to understand species interactions in Australia and beyond. http://www.discoverlife.org/siad/ . https://github.com/globalbioticinteractions/siad/archive/e0f252a567f5610e978f85981cb3a2e76f09b20c.zip 2021-11-13T02:09:25.483Z dd67e6caa048626863c823eb775aae8eedd46fcba3dad5e525aa62b85d5f5db4 0.12.2<br> globalbioticinteractions/species-interaction-dataset-inventory Jorrit H. Poelen. 2017. Species interactions associated with known species interaction datasets. https://github.com/globalbioticinteractions/species-interaction-dataset-inventory/archive/c85871e495988d50bd37ba0c04d2eec6497acb4d.zip 2021-11-13T02:09:37.857Z a77a6c3f8d499b79e0e825d47132c7349fb49b6c9ee13dce9ce2919dbf19e5b3 0.12.2<br> globalbioticinteractions/speciesconnect Species Connect. https://speciesconnect.com https://github.com/globalbioticinteractions/speciesconnect/archive/c3c6f45f0864cd9d7fb4f281f69669cc5516cbfd.zip 2021-11-13T02:09:30.907Z e5972dfc20a1b44f735d0eab0c3ba80ed1a1d4bb697a431ca9599f47ba99eeec 0.12.2<br> globalbioticinteractions/spire Semantic Prototypes in Research Ecoinformatics (SPIRE). Data provided by Joel Sachs. See also http://ebiquity.umbc.edu/get/a/publication/297.pdf . https://github.com/globalbioticinteractions/spire/archive/b2f52536ed93797820e4295fe1097310d37ddbaa.zip 2021-11-13T02:09:54.805Z cade082c1f6555cbff5ebd371d331581b74058931517f32f832d230245caba58 0.12.2<br> globalbioticinteractions/squamatabase Grundler MC (2020) SquamataBase: a natural history database and R package for comparative biology of snake feeding habits. Biodiversity Data Journal 8: e49943. https://doi.org/10.3897/BDJ.8.e49943 https://github.com/globalbioticinteractions/squamatabase/archive/98f4158c1d988fc6cb4bd944020fd1dcde961338.zip 2021-11-13T02:10:14.564Z b6060414b9cc244f764f8373cf95b812d0db58062064c97ccf530228b1f0b302 0.12.2<br> globalbioticinteractions/strona Strona, G., Palomares, M. L. D., Bailly, N., Galli, P., & Lafferty, K. D. (2013). Host range, host ecology, and distribution of more than 11 800 fish parasite species. Ecology, 94(2), 544–544. doi:10.1890/12-1419.1 https://github.com/globalbioticinteractions/strona/archive/5b9f1fb08966d2f295b341509b8765002eaf0df1.zip 2021-11-13T02:10:21.615Z ca0fafe650f9b73adb07e1e637240017bc199587dbcb27553cd24f703d2c01c6 0.12.2<br> globalbioticinteractions/strong2014 Strong, Justin S., and Shawn J. Leroux. 2014. "Impact of Non-Native Terrestrial Mammals on the Structure of the Terrestrial Mammal Food Web of Newfoundland, Canada." PLOS ONE 9 (8): e106264. https://doi.org/10.1371/journal.pone.0106264 https://github.com/globalbioticinteractions/strong2014/archive/b1f9888c29c1bc657081f49ffa1a1c00434615f7.zip 2021-11-13T02:10:26.715Z c96b66532610b886b36acf8557b49468ccc16bbd5c2f3557908d0fe747a6376d 0.12.2<br> globalbioticinteractions/szoboszlai2015 Szoboszlai AI, Thayer JA, Wood SA, Sydeman WJ, Koehn LE (2015) Data from: Forage species in predator diets: synthesis of data from the California Current. Dryad Digital Repository. http://dx.doi.org/10.5061/dryad.nv5d2 https://github.com/globalbioticinteractions/szoboszlai2015/archive/189f0d2bdb23d6bc5166dd086a4d76e62a78da40.zip 2021-11-13T02:10:34.472Z ac776372828ec405829b4ae5dbb6e5eee23cdd3ff308a875c14a9b179337c54f 0.12.2<br> globalbioticinteractions/tamuic-ent Texas A&M University Insect Collection https://github.com/globalbioticinteractions/tamuic-ent/archive/625c537abae5c9ea1f79aee2867fb541b2a2116b.zip 2021-11-13T02:10:39.402Z f5104355437144779ce2c1820493dd32b165d9f8355a2fe9bdea47f439247eb3 0.12.2<br> globalbioticinteractions/template-dataset Jorrit H. Poelen. 2014. Species associations manually extracted from literature. https://zenodo.org/record/1436853/files/globalbioticinteractions/template-dataset-0.0.3.zip 2021-11-13T02:12:00.559Z 5b4ee64e7384bdf3d75b1d6617edd5d82124567b4ec52b47920ea332837ff060 0.12.2<br> globalbioticinteractions/thieltges2011 David W. Thieltges, Karsten Reise, Kim N. Mouritsen, John P. McLaughlin, and Robert Poulin. 2011. Food web including metazoan parasites for a tidal basin in Germany and Denmark. Ecology 92:2005. https://doi.org/10.1890/11-0351.1 https://github.com/globalbioticinteractions/thieltges2011/archive/ea1981bced3ca60b556b5d7af8422a75b870d012.zip 2021-11-13T02:12:05.221Z 8d783d24c2c759b0801d420929237025ff887a4e30c2d9924f342cc20a402dd5 0.12.2<br> globalbioticinteractions/thomas-sabaj2020 Thomas, M.R., & M.H. Sabaj. 2020. Heptapteridae: Seven-finned Catfishes, In: M.L. Warren, Jr. & B.M. Burr (eds.) with A.A. Echelle, B.R. Kuhajda & S.T. Ross, Freshwater Fishes of North America: Characidae to Poeciliidae, vol. 2. The Johns Hopkins University Press, Baltimore, Maryland. https://github.com/globalbioticinteractions/thomas-sabaj2020/archive/6328a45cb914a436f5828a93de13d01363400021.zip 2021-11-13T02:12:10.655Z e13b0156731d63c732e83f5f26376f835245dde46bfbfa03ed1b1567835ed119 0.12.2<br> globalbioticinteractions/tmh-across-systems Cohen JM, Sauer EL, Santiago O, Spencer S, Rohr JR. 2020. Divergent impacts of warming weather on wildlife disease risk across climates. Science. doi:10.1126/science.abb1702 https://github.com/globalbioticinteractions/tmh-across-systems/archive/4dd4d0b5c4f301136380b87e34ce2adfa3adbb15.zip 2021-11-13T02:12:15.466Z 18473f9beb06232523772f863060849b1f3e286812f91179ad5d0da1cc482fed 0.12.2<br> globalbioticinteractions/ucm-ucmc University of Colorado Museum of Natural History Entomology Collection https://github.com/globalbioticinteractions/ucm-ucmc/archive/c2a838bbf39e09b7e195b2895c107b2963167b20.zip 2021-11-13T02:12:31.517Z 52525735b30c80128aec0598c5f4acecbf78eb1ccbef599f681b3f0d2115b2f0 0.12.2<br> globalbioticinteractions/ucsb-ac University of California Santa Barbara Algae Collection https://github.com/globalbioticinteractions/ucsb-ac/archive/21cc1ba9ded04f23f53bb1b66bf5bc638c9307c9.zip 2021-11-13T02:12:44.191Z 0cf2ed4ac5dc84d135c36253e727c7e9cf6a1ebc3e5d681a9aca0886a4344ed7 0.12.2<br> globalbioticinteractions/ucsb-cch University of California Santa Barbara Herbarium https://github.com/globalbioticinteractions/ucsb-cch/archive/b09de654491c765c193233e35050f347e892884b.zip 2021-11-13T02:13:03.149Z 7ebddcaebaf2142d8568bb5cebf6677db63097a9ad657767589d26aaa58804a7 0.12.2<br> globalbioticinteractions/ucsb-izc University of California Santa Barbara Invertebrate Zoology Collection https://github.com/globalbioticinteractions/ucsb-izc/archive/864457bf411f2b01820f9ecfb11397e453bb6572.zip 2021-11-13T02:13:22.699Z 25a069cf9ebeb7bf07b89dfc0afbd375515905333baee2a603c2befbcab0746a 0.12.2<br> globalbioticinteractions/uhim University of Hawaii Insect Museum https://github.com/globalbioticinteractions/uhim/archive/53fa790309e48f25685e41ded78ce6a51bafde76.zip 2021-11-13T02:13:41.915Z d4bd19d501a1ae6cbbcafb34a9236b9239f3e5f6a9f226f6b240c922ea87f4ed 0.12.2<br> globalbioticinteractions/ummzi University of Michigan Museum of Zoology Insect Division. Full Database Export 2020-11-20 provided by Erika Tucker and Barry Oconner. https://github.com/globalbioticinteractions/ummzi/archive/4b5d7ef057db9841485d734738c601ac81b2f68a.zip 2021-03-13T03:00:58.322Z 886ee4dd3bf33c7fc3d83151cde0137aad961adde43627117061fb7e1ccf4408 0.12.2<br> globalbioticinteractions/unhc University of New Hampshire Collection of Insects and other Arthropods https://github.com/globalbioticinteractions/unhc/archive/a9a3ba395651a1e068ef53d47a6e2c8e1173389c.zip 2021-11-13T02:13:57.621Z e3e080b20f3652cd7b3b8997dfd777ad5e8c16221444cb43dd5c33eab1582063 0.12.2<br> globalbioticinteractions/unhc-unhc University of New Hampshire Donald S. Chandler Entomological Collection https://github.com/globalbioticinteractions/unhc-unhc/archive/d7668a6bb4545dc4da0645ecc383169ba547b0f5.zip 2021-11-13T02:14:10.171Z e049199519873802caa7c2c74945a902bf6678a0cd603bc5ebe810d1e51957a3 0.12.2<br> globalbioticinteractions/unl-nsm Scott L. Gardner and Gabor R. Racz (2021). University of Nebraska State Museum - Parasitology. Harold W. Manter Laboratory of Parasitology. University of Nebraska State Museum. https://github.com/globalbioticinteractions/unl-nsm/archive/6bcd8aec22e4309b7f4e8be1afe8191d391e73c6.zip 2021-11-13T02:14:17.278Z ba1726e355149e1893ee7742c5cab0e0ce963f04bd19ee19ef6ba24d26e1f63d 0.12.2<br> globalbioticinteractions/uredinales-belgium-checklist Vanderweyen A, Fraiture A, Groom Q, Desmet P, Reyserhove L (2019). Catalogue of the Rust Fungi of Belgium. Botanic Garden Meise. https://github.com/globalbioticinteractions/uredinales-belgium-checklist/archive/43fd7a8344b4157e1e2f9e7351c3219492ecdd62.zip 2021-11-13T02:14:39.867Z 5952f67ce00c6e4e138df5f9eb7b8212ecc53eda133087e23910acb7244281ed 0.12.2<br> globalbioticinteractions/usgs-bison USGS Biodiversity Information Serving Our Nation (BISON) IPT https://github.com/globalbioticinteractions/usgs-bison/archive/7be50b704e4ef0d1f685d80b4e1b5c0e98e2e260.zip 2021-11-13T02:35:06.122Z d06e463218648f6eac3aaa71277866b7644989d50b4a41b60d5206e64888b9a5 0.12.2<br> globalbioticinteractions/usgs-pollinator-library United States Geological Survey (USGS) Pollinator Library. https://www.npwrc.usgs.gov/pollinator. https://github.com/globalbioticinteractions/usgs-pollinator-library/archive/608cbc37572475bbd61dd0d2fb6e9ce29cf95600.zip 2021-11-13T02:35:11.568Z dfc9317dfb657914f18ddefc9506cfc6229ef761a0d49cb5dc201424c48f6d72 0.12.2<br> globalbioticinteractions/utah-piper Price Institute of Parasite Research, School of Biological Sciences, University of Utah https://github.com/globalbioticinteractions/utah-piper/archive/43da8db550b5776c1e3d17803831c696fe9b8285.zip 2021-11-13T03:34:23.597Z 7a6b77bdd41825ca03becb1c75b50f276443a97775a7c7741e4daf3fed9b873d 0.12.2<br> globalbioticinteractions/uwsp-para University of Wisconsin Stevens Point, Stephen J. Taft Parasitological Collection https://github.com/globalbioticinteractions/uwsp-para/archive/f9d0d52cd671731c7f002325e84187979bca4a5b.zip 2021-11-13T03:34:31.713Z 77269a76cc9cd288d5d4dfc2cc97be0bc27d180f9c67a6700dd4b864ef50cca3 0.12.2<br> globalbioticinteractions/vectorbase Giraldo-Calderón, G. I., Emrich, S. J., MacCallum, R. M., Maslen, G., Dialynas, E., Topalis, P., … Lawson, D. (2015). VectorBase: an updated bioinformatics resource for invertebrate vectors and other organisms related with human diseases. Nucleic acids research, 43(Database issue), D707–D713. doi:10.1093/nar/gku1117. https://github.com/globalbioticinteractions/vectorbase/archive/00d6285cd4e9f4edd18cb2778624ab31b34b23b8.zip 2021-11-13T03:34:38.444Z 97de6d8a4da8cb6b091dcbef550a35d75bc858cf3e647b132ffb6c175b05a287 0.12.2<br> globalbioticinteractions/virion Carlson, C.J. et al., 2021. The Global Virome in One Network (VIRION): an atlas of vertebrate-virus associations. Available at: http://dx.doi.org/10.1101/2021.08.06.455442 https://github.com/globalbioticinteractions/virion/archive/42fbc2296503d98b5542e4887bcef10418237f56.zip 2021-11-13T04:07:17.919Z c75b101e1218b281c49f5e3103fdbc235fd7c28322ef4c41e6060adca585409f 0.12.2<br> globalbioticinteractions/virus-host-db Mihara, T., Nishimura, Y., Shimizu, Y., Nishiyama, H., Yoshikawa, G., Uehara, H., Hingamp, P., Goto, S., and Ogata, H.; Linking virus genomes with host taxonomy. Viruses 8, 66 doi:10.3390/v8030066 (2016). https://github.com/globalbioticinteractions/virus-host-db/archive/4928da32147a3a3668d41569a05a756b4a8619cf.zip 2021-11-13T04:07:57.243Z 406710c1bdd8b502e3608eb0dd481a5703dc1427e083c9f44d505e180859e85d 0.12.2<br> globalbioticinteractions/wardeh2021 Wardeh, M., Baylis, M. & Blagrove, M.S.C. Predicting mammalian hosts in which novel coronaviruses can be generated. Nat Commun 12, 780 (2021). https://doi.org/10.1038/s41467-021-21034-5 https://github.com/globalbioticinteractions/wardeh2021/archive/d061204c6b8b276d0f019c88fd9f2980ff8e66e1.zip 2021-11-13T04:08:09.011Z 94330f77c54185e62b5b19de613facf27bd1f16a37c7882a6ccf767c4e9140e9 0.12.2<br> globalbioticinteractions/web-of-life Web of Life. http://www.web-of-life.es . https://github.com/globalbioticinteractions/web-of-life/archive/f63e4dbd52d31b698df5d5f63a409889a26fd0a5.zip 2021-11-13T04:08:14.960Z 794e639174dfa96223fea4aeba6ad7f93d873b66275d5712c5db689f25541856 0.12.2<br> globalbioticinteractions/wis-ih-wirc WIRC / University of Wisconsin Madison WIS-IH / Wisconsin Insect Research Collection https://github.com/globalbioticinteractions/wis-ih-wirc/archive/34162b86c0ade4b493471543231ae017cc84816e.zip 2021-11-13T04:14:29.368Z 0ef2ca9f91b4116a36c162024b3982e3d892e46da62204def83fd4eef888dba0 0.12.2<br> globalbioticinteractions/wood2015 Wood SA, Russell R, Hanson D, Williams RJ, Dunne JA (2015) Data from: Effects of spatial scale of sampling on food web structure. Dryad Digital Repository. https://doi.org/10.5061/dryad.g1qr6 https://github.com/globalbioticinteractions/wood2015/archive/66115fc86215246ae9c095549305167f67a0380e.zip 2021-11-13T04:14:39.789Z bd33fc88cef65a090cce5fac9ac10244c8bbe281d062237fa46ee4768ed008f5 0.12.2<br> globalbioticinteractions/yale-peabody Yale University Peabody Museum Collections Data Portal https://github.com/globalbioticinteractions/yale-peabody/archive/34ea074eca79c2ac0ca2fd0da855f8180c749fc3.zip 2020-12-19T04:13:35.934Z bef1cbbb5d7a7532e99b1fad92ee2e863dd51790b411cbb7ebfb1cc20f049641 0.12.2<br> globalbioticinteractions/ysu-bc Yugra State University Biological Collection (YSU BC) IPT https://github.com/globalbioticinteractions/ysu-bc/archive/2c552f751f227a0aa96cee9b7bd9619f49f235ca.zip 2021-11-13T04:17:36.029Z 5adb1d2a4ab8439b7d982e2ea94824a92082a79441b96fdc24d3dbf1e0a4d620 0.12.2<br> globalbioticinteractions/zander2011 Zander, C. D., Josten, N., Detloff, K. C., Poulin, R., McLaughlin, J. P., & Thieltges, D. W. (2011). Food web including metazoan parasites for a brackish shallow water ecosystem in Germany and Denmark. Ecology, 92(10):2007. https://doi.org/10.1890/11-0374.1 https://github.com/globalbioticinteractions/zander2011/archive/4945ff98bf9f99253c69471a5d8d873e984e1aaf.zip 2021-11-13T04:17:40.806Z a350aef3d5081c231a37b7f21a6df095ef8df02fb7eff9c3b43d2a7c84924a0e 0.12.2<br> globalbioticinteractions/zenodo-metadata Zenodo. 2020. Zenodo publication with biotic interaction annotations. https://github.com/globalbioticinteractions/zenodo-metadata/archive/e266fdd97f6202c855a5526dc49f01d0c7ca9f18.zip 2021-11-13T04:17:45.824Z fb76c35741b0ad975c32994d826d4dbce4b2731095e8f2a30eb243d410bf96a2 0.12.2<br> globalbioticinteractions/zover Siyu Zhou, Bo Liu, Yelin Han, Yuyang Wang, Lihong Chen, Zhiqiang Wu, Jian Yang, ZOVER: the database of zoonotic and vector-borne viruses, Nucleic Acids Research, 2021;, gkab862, https://doi.org/10.1093/nar/gkab862 https://github.com/globalbioticinteractions/zover/archive/a88168fa38be6d259c8ee34410e6e4a51d8ed6f3.zip 2021-11-13T04:17:55.038Z 30619ab3d162cd31fbd56cf220f4fc05104c356ce55d37ec4ed7c9752bc80207 0.12.2<br> holmesjtg/okaloosa-county-coastal-uplands Jeff Holmes. 2015. Manually transcribed by EOL Education. https://github.com/holmesjtg/okaloosa-county-coastal-uplands/archive/04071fa674aff8e0b61fafc639566a964849cad7.zip 2021-11-13T04:21:26.058Z 3fd735fbadfe89b340119cc4bcb351a3d5494414642454a8fedce325238faa07 0.12.2<br> ischnura/vespa-velutina-interactions Jorrit H. Poelen. 2014. Species associations manually extracted from literature. https://github.com/ischnura/vespa-velutina-interactions/archive/d419430d4f84c8b2151cca08bced7177a8cbf533.zip 2021-11-13T04:21:38.778Z 011f277408ac97a7de23b0d5e7b80892742930a842c9752b73222f9ac3ad752e 0.12.2<br> jeremy-cohen/tmh-across-systems Cohen JM, Sauer EL, Santiago O, Spencer S, Rohr JR. 2020. Divergent impacts of warming weather on wildlife disease risk across climates. Science. doi:10.1126/science.abb1702 https://github.com/jeremy-cohen/tmh-across-systems/archive/8d82410f6d40442f92cc082c15dfc97a323dd5d1.zip 2021-11-13T04:21:43.713Z 8ab6510fca378a9e63587fb7c36f373d20ffe4afbaa4129344fef70477b89314 0.12.2<br> jhammock/Checklist-of-Micro-Organisms-Associated-With-Tree-Seeds-in-the-World Sarah E Miller. 5/23/2017. Species associations manually extracted from Anderson, R. L. (1986). Checklist of micro-organisms associated with tree seeds in the world, 1985. Gen. Tech. Rep. SE-39. Asheville, NC: US Department of Agriculture, Forest Service, Southeastern Forest Experiment Station. 34 p., 39. https://github.com/jhammock/Checklist-of-Micro-Organisms-Associated-With-Tree-Seeds-in-the-World/archive/68785dce5db7f9fa4de10079f5798aa26c40d3e5.zip 2021-11-13T04:21:50.284Z 97878c77069ec60343890c801e4e6168de2db0e6fe8bd2a5e000d60dce0b7975 0.12.2<br> jhammock/Layman-and-Allgeier-Lionfish Layman, CA, Allgeier, JE. 2012. Characterizing trophic ecology of generalist consumers: a case study of the invasive lionfish in The Bahamas. Mar Ecol Prog Ser, Vol. 448: 131–141. doi: 10.3354/meps09511 https://zenodo.org/record/232498/files/jhammock/Layman-and-Allgeier-Lionfish-1.0.zip 2021-11-13T04:21:57.867Z 80649bf28bd8504b57d97e3057eb0e3f4227743f477608c171d94f136feea0fc 0.12.2<br> jhpoelen/EDWIP Failed inoculations indexed from negative.csv of Onstad, D.W. EDWIP: Ecological Database of the World's Insect Pathogens. Data provided by Onstad and transcribed by Tad Dallas . https://github.com/jhpoelen/EDWIP/archive/34f66868ad413f1884c581061291e14eaf0147d9.zip 2021-11-13T04:23:05.979Z 250495aee1eee5f59e79a886cbfff375c58b0a4e865f59489d9d829e98244878 0.12.2<br> jhpoelen/FRUBASE Jordano, Pedro (2013), Data from: Angiosperm fleshy fruits and seed dispersers: a comparative analysis of adaptation and constraints in plant-animal interactions, Dryad, Dataset, https://doi.org/10.5061/dryad.9tb73 https://github.com/jhpoelen/FRUBASE/archive/ed685ad34c4bc40221fce273c94bfa3e34e84ddc.zip 2021-11-13T04:23:10.994Z 0e5ac8d4bf52fc5b6d6b3302edcc6dae28bf9a6717b50a6c0223909eb86c1973 0.12.2<br> jhpoelen/JLewis_GoMexSi http://gomexsi.tamucc.edu https://github.com/jhpoelen/JLewis_GoMexSi/archive/f55ee847661a28b136a86f6669e81669f656fc1b.zip 2021-11-13T04:23:21.363Z 01d7c985a183f74a69a709e342252489417fb667a28c66c461bc71043835a0bc 0.12.2<br> jhpoelen/Lice Sarah E Miller. 06/17/2015. Durden, Lance A., and Guy A. Musser. The Sucking Lice (Insecta, Anoplura) of the World : A Taxonomic Checklist with Records of Mammalian Hosts and Geographical Distributions. Bulletin of the AMNH ; No. 218. New York: American Museum of Natural History, 1994. Web. https://github.com/jhpoelen/Lice/archive/7adc3eebf7a62bc83390a952217759e9da571864.zip 2021-11-13T04:23:38.639Z 3fff0167e2812eb03467391e75a70a3c4e66524164ce97ab06138c6a4652fcd8 0.12.2<br> jhpoelen/animal-disease Mungall CJ. 2016. Animal Diseases. GitHub. https://github.com/jhpoelen/animal-disease/archive/fe22abb536b2c4a828c485a8e2495dbd00343cfe.zip 2021-11-13T04:22:03.573Z 04a49b5d4e4fc8acf3e60b99f4da685296ffcefc859f113be525781f7342007b 0.12.2<br> jhpoelen/ballantyne2015 Ballantyne, Gavin; Baldock, Katherine C. R.; Willmer, Pat G. (2015), Data from: Constructing more informative plant-pollinator networks: visitation and pollen deposition networks in a heathland plant community, Dryad, Dataset, https://doi.org/10.5061/dryad.17pp3 https://github.com/jhpoelen/ballantyne2015/archive/7238fce4c1a08b1a3e7c27ba1782abe0b262d6c1.zip 2021-11-13T04:22:08.909Z cdab3ba66d4198322407fc37c57f3d90755be796af796ab36ac5922b864f1299 0.12.2<br> jhpoelen/bee-interaction-database Seltmann, K., Van Wagner, J., Behm, R., Brown, Z., Tan, E., & Liu, K. (2020). BID: A project to share biotic interaction and ecological trait data about bees (Hymenoptera: Anthophila). UC Santa Barbara: Cheadle Center for Biodiversity and Ecological Restoration. Retrieved from https://escholarship.org/uc/item/1g21k7bf https://github.com/jhpoelen/bee-interaction-database/archive/bb75b7faf03d152be71a5805c99c95ec0afa4f1a.zip 2021-11-13T04:22:16.126Z 92c19d33bbb883754040a7dc49722eae00ffa91b045294f041ac050491ccaf4a 0.12.2<br> jhpoelen/caradonna2020 CaraDonna, P.J. 2020. Temporal variation in plant-pollinator interactions, Rocky Mountain Biological Laboratory, CO, USA, 2013 - 2015 ver 1. Environmental Data Initiative. https://doi.org/10.6073/pasta/27dc02fe1655e3896f20326fed5cb95f (Accessed 2021-04-16). https://github.com/jhpoelen/caradonna2020/archive/2ae5c1f4ce1e65fef5098a27652320e5d90fa7b9.zip 2021-11-13T04:22:20.516Z e40c1ee38dc8f9807f0049278f37e4bb3dd2043b5c53e26ac415481bc258e877 0.12.2<br> jhpoelen/data Urban M, Cuzick A, Rutherford K, Irvine A, Pedro H, Pant R, Sadanadan V, Khamari L, Billal S, Mohanty S, Hammond-Kosack KE. PHI-base: a new interface and further additions for the multi-species pathogen-host interactions database. Nucleic Acids Res. 2017 Jan 4;45(D1):D604-D610. doi: 10.1093/nar/gkw1089. Epub 2016 Dec 3. PMID:27915230 https://github.com/jhpoelen/data/archive/9e947b7711dd40ec76b2c146ccf788d3cde71651.zip 2021-11-13T04:22:55.450Z ba74229441776a2cf6c397ad2212200f0324ed39381af2f135aa3a3a44e40ad1 0.12.2<br> jhpoelen/dietdatabase Hurlbert, A. H., Olsen, A. M., Sawyer, M. M., and Winner, P. M. 2021. Avian Diet Database. https://doi.org/10.5281/zenodo.5151056 https://github.com/jhpoelen/dietdatabase/archive/225e33758e437c821b2960f14115f74f4dc46c42.zip 2021-10-30T04:00:39.898Z 462b90468d65134d6847d0e6d99c62998beb7fd0c1f0a01c40e76414b1060696 0.12.2<br> jhpoelen/geosymbio Jorrit H. Poelen. 2015. Summarizing interactions of Symbiodinium after consulting Michele Weber. https://github.com/jhpoelen/geosymbio/archive/a9cb473a202ac656271c04e3ab2b7233cdf5c522.zip 2021-11-13T04:23:15.982Z 0d4b6e5d411e61d120ca113764345ae37dea9b53f454401ebccffefeb48ae933 0.12.2<br> jhpoelen/magrach2017 Magrach, Ainhoa et al. (2017), Data from: Plant-pollinator networks in semi-natural grasslands are resistant to the loss of pollinators during blooming of mass-flowering crops, Dryad, Dataset, https://doi.org/10.5061/dryad.k0q1n https://github.com/jhpoelen/magrach2017/archive/0a232001a23f11297d31653f58ef7cbdbc799e08.zip 2021-11-13T04:23:43.234Z 7a45f733bb471ce0afc7a71aefef7b4a27499a406f029c9a42d2020d3de083df 0.12.2<br> jhpoelen/olito2015 Olito, Colin; Fox, Jeremy W. (2015), Data from: Species traits and abundances predict metrics of plant–pollinator network structure, but not pairwise interactions, Dryad, Dataset, https://doi.org/10.5061/dryad.7st32 https://github.com/jhpoelen/olito2015/archive/c10303a46b03a6f0978304e1dd6fc3a8089c7bda.zip 2021-11-13T04:23:51.140Z c0df3678359fb9e6dc25204966b63f4199a9df8195cd4bf934dc0733983b01e6 0.12.2<br> jhpoelen/pollination_catalogue Giselle Muschett & Francisco E. Fontúrbel. 2021. A comprehensive catalogue of plant – pollinator interactions for Chile https://github.com/jhpoelen/pollination_catalogue/archive/adaaa1d29b58b5766c6c167bb70ff22c8f80265d.zip 2021-11-13T04:23:56.941Z 1f8de7defc49619c75e9b2934cb36a023fa5dc5c338c0a506ba841a20047653d 0.12.2<br> jhpoelen/portalier2018 Portalier, Sebastien; Fussmann, Gregor; Loreau, Michel; Cherif, Mehdi (2018), Data from: The mechanics of predator-prey interactions: first principles of physics predict predator-prey size ratios, Dryad, Dataset, https://doi.org/10.5061/dryad.8c40mb0 https://github.com/jhpoelen/portalier2018/archive/7278ec1310a66cd65f03d56cdbcc248842cd6cba.zip 2021-11-13T04:24:02.057Z ed6d47203e64733754bc62c2dce37d0d188ef03f71924afba2e299293b87e8bf 0.12.2<br> jhpoelen/redhead2018 Redhead, J.W.; Coombes, C.F.; Dean, H.J.; Dyer, R.; Oliver, T.H.; Pocock, M.J.O.; Rorke, S.L.; Vanbergen, A.J.; Woodcock, B.A.; Pywell, R.F. (2018). Plant-pollinator interactions database for construction of potential networks. NERC Environmental Information Data Centre. https://doi.org/10.5285/6d8d5cb5-bd54-4da7-903a-15bd4bbd531b https://github.com/jhpoelen/redhead2018/archive/4e55aeb5dddafaf3650e7d740c97ded4ee0d6751.zip 2021-11-13T04:24:09.023Z 9448863fc03c020e10313dac928ae049e4241e52b4c252d7c8d80a7325b40f30 0.12.2<br> jhpoelen/udy2020 Udy, Kristy; Reininghaus, Hannah; Scherber, Christoph; Tscharntke, Teja (2020), Data from: Plant-pollinator interactions along an urbanization gradient from cities and villages to farmland landscapes, Dryad, Dataset, https://doi.org/10.5061/dryad.4mw6m906s https://github.com/jhpoelen/udy2020/archive/b559db9d2455104a3bce3d50d4c6258654da6818.zip 2021-11-13T04:24:14.106Z 55cfb7eb1fa1c175ed22cb9e5abd0c3e456b6ef3216e0f284821ef311ba7967a 0.12.2<br> jhpoelen/uredinales-belgium-checklist Vanderweyen, A., & Fraiture, A. (2009). Catalogue des Uredinales de Belgique, 1re partie, Chaconiaceae, Coleosporiaceae, Cronartiaceae, Melampsoraceae, Phragmidiaceae, Pucciniastraceae, Raveneliaceae et Uropyxidaceae. Lejeunia, Revue de Botanique|Vanderweyen, A., & Fraiture, A. (2009). Catalogue des Uredinales de Belgique, 2ème partie, Pucciniaceae (sauf Puccinia)(suite 2). Lejeunia, Revue de Botanique.|Vanderweyen, A., & Fraiture, A. (2012). CATALOGUE DES UREDINALES DE Belgique 3ème partie Pucciniaceae (genre Puccinia). Lejeunia, Revue de Botanique. https://github.com/jhpoelen/uredinales-belgium-checklist/archive/4d452ac12bf20a5d9a8ccd6a87e9fc7984a86bdb.zip 2021-11-13T04:24:19.767Z adc5a5143f4dab2d8f6edd3f2b15bcee283eb8d2c49e12de05af4a73dfe47dd1 0.12.2<br> jhpoelen/willoughby-etal-2021-bat-co-roosting Anna Willoughby et al. 2021. Bat co-roosting interactions extracted from literature. https://github.com/jhpoelen/willoughby-etal-2021-bat-co-roosting/archive/270ba693de12dc3aa9f0921a81f90f7b47030ed7.zip 2021-11-13T04:24:24.528Z 9e1be8bba634cc3f6c1f06326e0882a0053d0404350363e8000f3475cc625466 0.12.2<br> karelTole/template-dataset Jorrit H. Poelen. 2014. Species associations manually extracted from literature. https://github.com/karelTole/template-dataset/archive/949abcbe08011c1d9fa53327ad5dc1d6be728a95.zip 2021-11-13T04:24:31.175Z b06d299e95d45f79f2bb14234c1c769b9ec9428a76b6b7b70e372bbef8c5637f 0.12.2<br> liampshaw/Pathogen-host-range Shaw, LP, Wang, AD, Dylus, D, et al. The phylogenetic range of bacterial and viral pathogens of vertebrates. Mol Ecol. 2020; 29: 3361– 3379. https://doi.org/10.1111/mec.15463 https://github.com/liampshaw/Pathogen-host-range/archive/f4014ed79b1211a63e20fedfae7d42a305f7775e.zip 2021-11-13T04:24:50.897Z 9ba203583352f358b2df82e35a13fd1acb2fd7cab2556c3f75233b14db813aea 0.12.2<br> mangal-wg/template-dataset Jorrit H. Poelen. 2014. Species associations manually extracted from literature. https://github.com/mangal-wg/template-dataset/archive/8abd2ba18457288f33527193299504015fae6def.zip 2021-10-27T07:48:40.571Z 6bfc17b8717e6e8e478552f12404bc8887d691a155ffd9cd9bfc80cb6747c5d2 0.12.2<br> millerse/A-Host-parasite-Catalog-of-North-American-Tachinidae-Diptera- Sarah E Miller. 5/28/2015. Arnaud, Paul Henri. A Host-parasite Catalog of North American Tachinidae (Diptera). Washington, D.C.: U.S. Dept. of Agriculture, Science and Education Administration, 1978. https://zenodo.org/record/258186/files/millerse/A-Host-parasite-Catalog-of-North-American-Tachinidae-Diptera--v1.0.zip 2021-11-13T04:25:14.014Z d1d8dd7203b25060c9a42dc20a2b082b9eac5d357565663df86baf7f0b569cce 0.12.2<br> millerse/Adams-et-al.-2016 Sarah E Miller. 8/25/2016. Text gathered from Adams et al. 2016 A century of Chinook salmon consumption by marine mammal predators in the Northeast Pacific Ocean. https://zenodo.org/record/258193/files/millerse/Adams-et-al.-2016-v1.0.zip 2021-11-13T04:25:05.669Z 8c9881182a178f58eb208aeb6689b110b17a6dd088d9629338113147ab043a95 0.12.2<br> millerse/Aluja-et-al-New-Host-Plant-and-Distribution-Records-in-Mexico Sarah E. Miller. 04/14/2015. Information extracted from litterature Aluja, Martín and Piñero, Jaime and López, Maurilio and Ruíz, César and Zúñiga, Alberto and Piedra, Enrique and Díaz-Fleischer, Francisco and Sivinski, John. New Host Plant and Distribution Records in Mexico for Anastrepha Spp., Toxotrypana Curvicauda Gerstacker, Rhagoletis Zoqui Bush, Rhagoletis Sp., and Hexachaeta Sp. (Diptera: Tephritidae). Proceedings of the Entomological Society of Washington 102 (2000): 2000. http://www.biodiversitylibrary.org/part/54830. https://github.com/millerse/Aluja-et-al-New-Host-Plant-and-Distribution-Records-in-Mexico/archive/0cf667a092fbf06e549ec4fdfffd7ad874259710.zip 2021-11-13T04:25:18.900Z a660336796b6e789c4bd57f902dd0715fc91393ea15580f9885c59947b482795 0.12.2<br> millerse/Amphibians-and-Reptiles-Predators-and-Prey.-Amphibians-and-Birds Sarah E Miller. 4/16/2015. Species associations manually extracted from Cook, W. E. Amphibians and Reptiles: Predators and Prey. Amphibians and Birds. Smithsonian Herpetological Information Service: 1-15. https://zenodo.org/record/258194/files/millerse/Amphibians-and-Reptiles-Predators-and-Prey.-Amphibians-and-Birds-v1.0.zip 2021-11-13T04:25:26.519Z 1762a1a625936896a22fa42ab094acb60c73c96a6dc197a3f9069f9d1797b3d0 0.12.2<br> millerse/Anemonefish Sarah E Miller. 6/17/2015. Species associations manually extracted from datasets https://www.nceas.ucsb.edu/interactionweb/resources.html. https://zenodo.org/record/258196/files/millerse/Anemonefish-v1.0.zip 2021-11-13T04:25:34.343Z fa9a6d260ec5577e38aa56b2172a301eca075e6714882c0a3bbc6685d1f45da4 0.12.2<br> millerse/Ant-Plant-Interactions Sarah E Miller. 5/25/2017. Species associations extracted from Fernanda V. Costa. 2016. Ant-Plant Interactions in Brazilian Rupestrian Grasslands - Dataset from 2014. urn:node:KNB. doi:10.5063/F19C6VB4. https://zenodo.org/record/800554/files/millerse/Ant-Plant-Interactions-V1.0.zip 2021-11-13T04:25:42.739Z 161e083b66e416c5e87399d92128b4f955820e67880c4bd7346230ddb2636def 0.12.2<br> millerse/Arctic-food-web Sarah E Miller. 7/7/2016. Text gathered from Wirta, H.K., Vesterinen, E.J., Hambäck, P.A., Weingartner, E., Rasmussen, C., Reneerkens, J., Schmidt, N.M., Gilg, O. and Roslin, T., 2015. Exposing the structure of an Arctic food web. Ecology and evolution, 5(17), pp.3842-3856. https://zenodo.org/record/258202/files/millerse/Arctic-food-web-v1.0.zip 2021-11-13T04:25:52.695Z d0fa4a6f28751d930c02e10f3b90b16d27636d8945a2ed42f0a619ee429aec13 0.12.2<br> millerse/Arctos Sarah E Miller. 7/6/2016. Arctos collection. https://zenodo.org/record/823590/files/millerse/Arctos-V1.0.zip 2021-11-13T04:26:14.582Z 6b2749c550797ccb0b420ef2693809c4c9641cdb5859a5aba4f109fdbc447b14 0.12.2<br> millerse/BHL-Interactions Sarah E Miller. 5/21/2015. Text gathered from http://www.biodiversitylibrary.org/ https://zenodo.org/record/258229/files/millerse/BHL-Interactions-v1.0.zip 2021-11-13T04:26:54.554Z 850cb1d0c187f994a7fedbdc56aa32e493fc0bba19c4952c1f9c67d31ef32bd8 0.12.2<br> millerse/Bald-Eagle-Diet Sarah E Miller. 7/27/2015. Newsome SD, Collins PW, Sharpe P. Foraging ecology of a reintroduced population of breeding Bald Eagles on the Channel Islands, California, USA, inferred from prey remains and stable isotope analysis. The Condor [Internet]. Cooper Ornithological Society; 2015 Jul 22;117(3):396–413. https://zenodo.org/record/258233/files/millerse/Bald-Eagle-Diet-v1.0.zip 2021-11-13T04:26:22.463Z b58efdeaf35f6a4f5ce5e9dddfbfe0c751f1902d0dc079057f2482414b0c3377 0.12.2<br> millerse/Bascompte-J.-Meli-n-C.J.-and-Sala-E.-2005 Sarah E Miller. 3/31/2015. Species associations extracted from paper Jordi Bascompte, Carlos J. Melián, and Enric Sala Interaction strength combinations and the overfishing of a marine food web PNAS 2005 102: 5443-5447. https://zenodo.org/record/258231/files/millerse/Bascompte-J.-Meli-n-C.J.-and-Sala-E.-2005-v1.0.zip 2021-11-13T04:26:30.889Z 708198e475eeea8cc1ff4f9ba794147e1b7780e79c841e08ee62680496f9e25f 0.12.2<br> millerse/Bat-flies Sarah E Miller. 9/6/2015. Species associations manually extracted from Obame-Nkoghe, J., Rahola, N., Bourgarel, M., Yangari, P., Prugnolle, F., Maganga, G.D., Leroy, E.M., Fontenille, D., Ayala, D. and Paupy, C., 2016. Bat flies (Diptera: Nycteribiidae and Streblidae) infesting cave-dwelling bats in Gabon: diversity, dynamics and potential role in Polychromophilus melanipherus transmission. Parasites & Vectors, 9(1), p.1. https://zenodo.org/record/258230/files/millerse/Bat-flies-v1.0.zip 2021-11-13T04:26:38.731Z c6e16c301d0ceb5bd1b8174ff537b97957064db66543ea2111822743a0f7c24d 0.12.2<br> millerse/Benesh-et-al-2017 Sarah E Miller. 9/19/2017. Species associations manually extracted from Benesh, D. P., Lafferty, K. D. and Kuris, A. (2017), A life cycle database for parasitic acanthocephalans, cestodes, and nematodes. Ecology, 98: 882. doi:10.1002/ecy.1680 https://github.com/millerse/Benesh-et-al-2017/archive/9dcd91ac0c04b7b06761d30032d2b93369855fcd.zip 2021-11-13T04:26:44.691Z c07b41d81a0de63e2d6fb03a2ab7e558129fb3f32860050431e7526496624ac0 0.12.2<br> millerse/Biological-Station-Arthropod-Collection Sarah E. Miller. 07/06/2017. Information extracted from dataset https://www.idigbio.org/portal/recordsets/db4bb0df-8539-4617-ab5f-eb118aa3126b. https://github.com/millerse/Biological-Station-Arthropod-Collection/archive/bb37104860ca553e97430ac3b6f5fce0a7578663.zip 2021-11-13T04:27:00.901Z 0cce96c8183eb0ffbf25f3c8c73a383f469c93113af0548c45c94b8e697196c4 0.12.2<br> millerse/Bird-Parasite Sarah E Miller. 3/18/2015. Species associations manually extracted from site http://www.burkemuseum.org/ornithology/phenology https://zenodo.org/record/258228/files/millerse/Bird-Parasite-v1.0.zip 2021-11-13T04:27:08.892Z 0c99d2de65498c1df567c478e387785eed814157e41e5eba0c8e8b39bbdba036 0.12.2<br> millerse/Birds-Consumed-by-the-Invasive-Burmese-Python-Python-molurus-bivittatus- Sarah E. Miller. 04/14/2015. Information extracted from literature Dove, Carla J., Ray W. Snow, Michael R. Rochford, and Frank J. Mazzotti. Birds Consumed By The Invasive Burmese Python (Python Molurus Bivittatus) In Everglades National Park, Florida, USA. The Wilson Journal of Ornithology: 126-31. https://zenodo.org/record/258227/files/millerse/Birds-Consumed-by-the-Invasive-Burmese-Python-Python-molurus-bivittatus--v1.0.zip 2021-11-13T04:27:16.668Z 4b7b18d68efa355489d6e6731335ce3f156a92d89e55daf08d54027b1307a53c 0.12.2<br> millerse/Buprestidae-of-North-America Sarah E Miller. 06/10/2015. Species associations manually extracted from Chamberlin, W. J. The Buprestidae of North America, Exclusive of Mexico, a Catalogue including Synonomy, Bibliography, Distribution, Type Locality and Hosts of Each Species,. 1926. https://zenodo.org/record/259795/files/millerse/Buprestidae-of-North-America-v1.0.zip 2021-11-13T04:27:27.154Z 8c833bb29fb9acad0218eb861be3d4be3313f54322edbedc5be2c5785b9c27d7 0.12.2<br> millerse/Canadian-freshwater-fish-and-their-metazoan-parasites Sarah E Miller. 6/18/2015. Species associations manually extracted from datasets https://www.nceas.ucsb.edu/interactionweb/resources.html. https://zenodo.org/record/258226/files/millerse/Canadian-freshwater-fish-and-their-metazoan-parasites-v1.0.zip 2021-11-13T04:27:35.009Z c0c53d9f8951003e8deb5ef177dd00b6d1a082518b6bbaca3a6cd4ef995ccdb7 0.12.2<br> millerse/Carpinteria-Salt-Marsh-Web Sarah E Miller. 6/19/2015. Species associations manually extracted from datasets https://www.nceas.ucsb.edu/interactionweb/resources.html. https://zenodo.org/record/258225/files/millerse/Carpinteria-Salt-Marsh-Web-v1.0.zip 2021-11-13T04:27:43.161Z d253aceff3bfbe4bea26e8e12d2b21477b7f91f37a20be285ea1c5a988881beb 0.12.2<br> millerse/Checklist-of-Micro-Organisms-Associated-With-Tree-Seeds-in-the-World Sarah E Miller. 5/23/2017. Species associations manually extracted from Anderson, R. L. (1986). Checklist of micro-organisms associated with tree seeds in the world, 1985. Gen. Tech. Rep. SE-39. Asheville, NC: US Department of Agriculture, Forest Service, Southeastern Forest Experiment Station. 34 p., 39. https://zenodo.org/record/582647/files/millerse/Checklist-of-Micro-Organisms-Associated-With-Tree-Seeds-in-the-World-V1.0.zip 2021-11-13T04:27:52.149Z 6c92631f219b84bb7a3addb2041c45b7d2d036544e3b4994f5aa17dbe0442ca6 0.12.2<br> millerse/Clements-R.-E.-and-F.-L.-Long Sarah E Miller. 6/22/2015. Species associations manually extracted from datasets https://www.nceas.ucsb.edu/interactionweb/resources.html. https://zenodo.org/record/258223/files/millerse/Clements-R.-E.-and-F.-L.-Long-v1.0.zip 2021-11-13T04:28:00.391Z 1b581de73c337f890f08cd9baa8a44f395242f954ca774d8dbb8b0e2724175e5 0.12.2<br> millerse/Coccidae-of-Egypt Sarah E Miller. 8/25/2016. Text gathered from Hall, W.J., 1923. Further observations on the Coccidae of Egypt. Ministry of Agriculture, Technical and Scientific Service, Bulletin, (36), pp.1-61. https://zenodo.org/record/259823/files/millerse/Coccidae-of-Egypt-v1.0.zip 2021-11-13T04:28:08.358Z 80dec1687e8f470ef874747df1d2b6913b1d3916993351094bfa973b779418c0 0.12.2<br> millerse/Dapstrom-integrated-database-and-portal-for-fish-stomach-records Pinnegar, J.K. (2014). DAPSTOM - An Integrated Database & Portal for Fish Stomach Records. Version 4.7. Centre for Environment, Fisheries & Aquaculture Science, Lowestoft, UK. February 2014, 39pp. https://zenodo.org/record/258222/files/millerse/Dapstrom-integrated-database-and-portal-for-fish-stomach-records-v1.0.zip 2021-11-13T04:36:12.857Z 82e40c4b29c05a3c5836b7b8ea6795425cf06ad34060ecd8341bf18ae6113499 0.12.2<br> millerse/Diseases-of-Coffee-in-Porto-Rico Sarah E Miller. 5/17/2016. Text gathered from Fawcett, George L. Fungus Diseases of Coffee in Porto Rico. 1915. doi:10.5962/bhl.title.37321 https://zenodo.org/record/258221/files/millerse/Diseases-of-Coffee-in-Porto-Rico-v1.0.zip 2021-11-13T04:36:22.003Z dd23d3c49ea2c29241309860bb506e5f62372074cf2bf6dc321505856c2e93aa 0.12.2<br> millerse/Ecological-Database-of-the-World-s-Insect-Pathogens Sarah E Miller. 12/13/2016. Species associations manually extracted from Onstad, D.W. EDWIP: Ecological Database of the World's Insect Pathogens. Champaign, Illinois: Illinois Natural History Survey, [23/11/2016]. http://insectweb.inhs.uiuc.edu/Pathogens/EDWIP. https://zenodo.org/record/258220/files/millerse/Ecological-Database-of-the-World-s-Insect-Pathogens-v1.0.zip 2021-11-13T04:36:46.276Z 26ff7994d1161456ffb4938f7801c697c6231da5201c4435a2811534bb83ef21 0.12.2<br> millerse/Feeding-Niches-of-Hummingbirds-in-a-Trinidad-Valley Sarah E Miller. 5/24/2015. Text gathered from Snow, Barbara K., and D. W. Snow. Feeding niches of hummingbirds in a Trinidad valley. The Journal of Animal Ecology (1972): 471-485. https://zenodo.org/record/258219/files/millerse/Feeding-Niches-of-Hummingbirds-in-a-Trinidad-Valley-v1.0.zip 2021-11-13T04:36:54.171Z 973deeea611bbbb6490fdc696589eb5bec037bf2568b40bab7819f1b5618e8be 0.12.2<br> millerse/Fishes-of-Basrah-Province-Iraq Sarah E Miller. 12/20/2016. Species associations manually extracted from Mhaisen, F.T., Ali, A.H. and Khamees, N.R., Checklists of Protozoans and Myxozoans of Freshwater and Marine Fishes of Basrah Province, Iraq. https://zenodo.org/record/258218/files/millerse/Fishes-of-Basrah-Province-Iraq-v1.0.zip 2021-11-13T04:37:02.511Z 07046537d13c930068d8d8410af206922b9ec106bc2012c8c04aa230173b12ff 0.12.2<br> millerse/Flea-Collection Sarah E Miller. 7/7/2016. Text gathered from various flea texts. https://zenodo.org/record/258217/files/millerse/Flea-Collection-v1.0.zip 2021-11-13T04:37:10.344Z cec0ce5b171008d73d9637294473b08618d30688f0febf90d102680cb093b610 0.12.2<br> millerse/Flowers-and-insects-lists-of-visitors-to-four-hundred-and-fifty-three-flowers Sarah E Miller. 6/25/2015. Species associations manually extracted from Robertson, C. 1929. Flowers and insects: lists of visitors to four hundred and fifty-three flowers. Carlinville, IL, USA, C. Robertson. https://zenodo.org/record/258216/files/millerse/Flowers-and-insects-lists-of-visitors-to-four-hundred-and-fifty-three-flowers-v1.0.zip 2021-11-13T04:37:19.516Z ce01d9a2c4dc26fe2d46519011915766d3a03cb857188be592b73adb1aa6bf94 0.12.2<br> millerse/Fly-parasites Sarah E. Miller. 04/14/2015. Information extracted from litterature Wharton, Robert A, and Paul M Marsh. New World Opiinae (Hymenoptera: Braconidae) Parasitic on Tephritidae (Diptera). Journal of the Washington Academy of Sciences 68 (1978): 21. http://www.biodiversitylibrary.org/part/50699. https://zenodo.org/record/258215/files/millerse/Fly-parasites-v1.0.zip 2021-11-13T04:37:26.954Z e34267ca389cf37c1b363228c370121f7d23d6ff64889aadbd41bf4a725123b0 0.12.2<br> millerse/Fossil-snake Sarah E Miller. 12/21/2016. Species associations extracted from Smith, K., Scanferla, A. 2016. Fossil snake preserving three trophic levels and evidence for an ontogenetic dietary shifts. Palaeobiodiversity and Palaeoenvironments. doi: 10.1007/s12549-016-0244-1 https://zenodo.org/record/258214/files/millerse/Fossil-snake-v1.0.zip 2021-11-13T04:37:34.872Z 6939c72af97d1942468f2aac1e5f9206f313eaa12463fd8c0f11922fc2df0b33 0.12.2<br> millerse/Greystock-et-al.-2015 Sarah E Miller. 9/19/2016. Species associations extracted from Graystock, P., Blane, E.J., McFrederick, Q.S., Goulson, D. and Hughes, W.O., 2016. Do managed bees drive parasite spread and emergence in wild bees?. International Journal for Parasitology: Parasites and Wildlife, 5(1), pp.64-75. https://zenodo.org/record/258213/files/millerse/Greystock-et-al.-2015-v1.0.zip 2021-11-13T04:37:52.183Z 68ad013ec2b9db818b9b6a4ab0693b90756f2c09e746f86bf34bc9a55c8e559e 0.12.2<br> millerse/Host-plant-and-distribution-records Sarah E. Miller. 04/14/2015. Information extracted from litterature Aluja, Martín and Piñero, Jaime and López, Maurilio and Ruíz, César and Zúñiga, Alberto and Piedra, Enrique and Díaz-Fleischer, Francisco and Sivinski, John. New Host Plant and Distribution Records in Mexico for Anastrepha Spp., Toxotrypana Curvicauda Gerstacker, Rhagoletis Zoqui Bush, Rhagoletis Sp., and Hexachaeta Sp. (Diptera: Tephritidae). Proceedings of the Entomological Society of Washington 102 (2000): 2000. http://www.biodiversitylibrary.org/part/54830. https://zenodo.org/record/259822/files/millerse/Host-plant-and-distribution-records-v1.0.zip 2021-11-13T04:38:00.275Z 2a9e01103a173d7518eb3e73681bd0503fc845cb43315d094a03301cd741f180 0.12.2<br> millerse/Hummingbird-and-Flower-Interactions Sarah E Miller. 6/26/2015. https://www.desertmuseum.org/pollination/hummingbirds.php https://zenodo.org/record/258212/files/millerse/Hummingbird-and-Flower-Interactions-v1.0.zip 2021-11-13T04:38:08.303Z 3b181d03b8adf6e92b38213987050a609957297467cf6496e0bf4b02256077d4 0.12.2<br> millerse/Insect-Herbivores-on-Goldenrods-Solidago-altissima Sarah E Miller. 3/25/2015. Species associations manually extracted from literature Root R. Insect Herbivores on Goldenrods (Solidago altissima) in the Finger Lakes Region, New York, USA (Dick_Root.7.13) https://zenodo.org/record/258211/files/millerse/Insect-Herbivores-on-Goldenrods-Solidago-altissima-v1.0.zip 2021-11-13T04:38:17.432Z b6ecd6b03fe9cfb9518737e54510f0edec7a400d2bf3e72a4fabf05f0e025345 0.12.2<br> millerse/Interaction-data-by-SEM Sarah E Miller. 2/4/2015. Species associations manually extracted from literature. https://zenodo.org/record/258210/files/millerse/Interaction-data-by-SEM-v1.0.zip 2021-11-13T04:38:25.360Z 4a7715afe5cd60f6af16c69031b4fabae49e9b52c4c200ce3b0ed200494b3e41 0.12.2<br> millerse/Jstor-Collecton Sarah E Miller. 9/3/2015. Species associations manually extracted from JSTOR. https://zenodo.org/record/258209/files/millerse/Jstor-Collecton-v1.0.zip 2021-11-13T04:38:33.584Z 997d4ea17196e13240a4bb2e86b6005386380a72d3778ee5188a7559839a4d75 0.12.2<br> millerse/Lara-C.-2006 Sarah E Miller. 5/24/2016. Text gathered from Lara, C. (2006). Temporal dynamics of flower use by hummingbirds in a highland temperate forest in Mexico. Ecoscience, 13(1), 23-29. https://zenodo.org/record/258208/files/millerse/Lara-C.-2006-v1.0.zip 2021-11-13T04:38:41.521Z 655ccc6f82d2e7a49b00aae019480a5afd68c807f2924351c75c5f8c8e211393 0.12.2<br> millerse/Lice Sarah E Miller. 06/17/2015. Durden, Lance A., and Guy A. Musser. The Sucking Lice (Insecta, Anoplura) of the World : A Taxonomic Checklist with Records of Mammalian Hosts and Geographical Distributions. Bulletin of the AMNH ; No. 218. New York: American Museum of Natural History, 1994. Web. https://github.com/millerse/Lice/archive/82aaea4eac0281c202bf20b12c5c4d0947e7936a.zip 2021-11-13T04:38:50.407Z 7272a4f2a156de904aaacc9fbe089bf1342f3f9b6df15ab77bf9064f93ac5233 0.12.2<br> millerse/Lichenous Sarah E Miller. 3/22/2016. Species associations extracted from Lawrey, J. D. & P. Diederich. 2016. Lichenicolous fungi – worldwide checklist, including isolated cultures and sequences available. URL: http://www.lichenicolous.net [1/3/2017]. https://zenodo.org/record/545807/files/millerse/Lichenous-v2.0.0.zip 2021-11-13T04:38:59.103Z 7d0f357bc78ad35fb0b6838053f83708ae7445dfea6cabd33e9db8e0f0d1ef77 0.12.2<br> millerse/PLANT-SEED-DISPERSER-WEBS Sarah E Miller. 6/20/2015. Species associations manually extracted from datasets https://www.nceas.ucsb.edu/interactionweb/resources.html. https://zenodo.org/record/258200/files/millerse/PLANT-SEED-DISPERSER-WEBS-v1.0.zip 2021-11-13T04:39:58.054Z 4c17c8f3999addf1aa48f2ea51c02e344625509235b040be0364272d2b2878f0 0.12.2<br> millerse/Plant-Disease-Survey Sarah E Miller. 5/17/2016. Distribution, Symptoms and Control of Some of the More Important Plant Diseases. Beltsville, Md.: Plant Disease Survey, Division of Mycology and Disease Survey, Bureau of Plant Industry, Soils, and Agricultural Engineering, Agricultural Research Administration, United States Department of Agriculture, 1953. https://zenodo.org/record/258204/files/millerse/Plant-Disease-Survey-v1.0.zip 2021-11-13T04:39:32.883Z 8bf948699a7425a8e21634ceea71aa41d9baa36c5333ae57db40d2f2bd52fbfc 0.12.2<br> millerse/Plant-Herbivore-Web Sarah E Miller. 6/18/2015. Species associations manually extracted from datasets https://www.nceas.ucsb.edu/interactionweb/resources.html. https://zenodo.org/record/258203/files/millerse/Plant-Herbivore-Web-v1.0.zip 2021-11-13T04:39:41.300Z a69ec00c0c005e9a4665abdc0626db53d49d991bd352dc1ee56ecc32d0367b2d 0.12.2<br> millerse/Plant-Pollinator-Web Sarah E Miller. 6/19/2015. Species associations manually extracted from datasets https://www.nceas.ucsb.edu/interactionweb/resources.html. https://zenodo.org/record/258201/files/millerse/Plant-Pollinator-Web-v1.0.zip 2021-11-13T04:39:50.228Z 9d273944f48cb97d4248182eba0e208c24d4bf6aca4d2d12ba3cba79d97c4871 0.12.2<br> millerse/Plant-ant-webs Sarah E Miller. 6/18/2015. Species associations manually extracted from datasets https://www.nceas.ucsb.edu/interactionweb/resources.html. https://zenodo.org/record/258205/files/millerse/Plant-ant-webs-v1.0.zip 2021-11-13T04:39:19.948Z 29e3bc178ddaa78fb116e9d17e0268fec750af34ad04d30887de40d13b82e904 0.12.2<br> millerse/Pollination-Collection Sarah E Miller. 5/30/2016. Interations from various papers. https://zenodo.org/record/258199/files/millerse/Pollination-Collection-v1.0.zip 2021-11-13T04:40:08.103Z 6143bb865cfcd25934277df00b53e636fb8bc9456d0a42df70c44a413047e630 0.12.2<br> millerse/Seaweed Sarah E Miller. 9/2/2015. Byrnes, Jarrett Edward; Reed, Daniel C; Cardinale, Bradley Joseph; Cavanaugh, Kyle C; Holbrook, Sally J; Schmitt, Russell J (2012-02-27): SBC LTER: Reef: Feeding relationships for kelp forest species. Santa Barbara Coastal LTER; Long Term Ecological Research Network. http://dx.doi.org/10.6073/pasta/0873e69e238051cb67f28f6025f53da3 https://zenodo.org/record/258198/files/millerse/Seaweed-v1.0.zip 2021-11-13T04:40:16.265Z 22da879dc70985701ca679d55352c576e68e57e74fe10d1f41cb0beaf67f4935 0.12.2<br> millerse/Serengeti Sarah E Miller. 7/27/2015. Baskerville, E.B. et al. (2011) Spatial guilds in the Serengeti food web revealed by a Bayesian group model. PLoS Comp. Biol. 7, e1002321 https://zenodo.org/record/258197/files/millerse/Serengeti-v1.0.zip 2021-11-13T04:40:24.147Z 8b397d0324c13e3168ce9ff3628f0a2e88522735f51328def204df5c10ec34f9 0.12.2<br> millerse/Seton-1929 Sarah E Miller. 11/5/2015. Interaction gathered from Seton, E.T. (1929) Lives of Game Animals. Doubleday, Doran & Co., Garden City N.Y., 506 pp. https://zenodo.org/record/258192/files/millerse/Seton-1929-v1.0.zip 2021-11-13T04:40:31.922Z 45c861c64e46ff4bb8e3829b3ab16ae1050e264eca44213de425dac3c4d9da2b 0.12.2<br> millerse/Smithsonian-Repository-Interactions Sarah E Miller. 4/20/2015. Species associations manually extracted from various papers and articles from site https://repository.si.edu https://zenodo.org/record/258191/files/millerse/Smithsonian-Repository-Interactions-v1.0.zip 2021-11-13T04:40:40.091Z ee8e863452b1bd605b043f7a4e787054ea33f68bcd425b9a5aaa606b0fc64f53 0.12.2<br> millerse/The-Butterflies-of-North-America Sarah E. Miller. 04/14/2015. Extracted from literature Scott, J.A. 1986. The Butterflies of North America. Stanford University Press, Stanford, CA https://zenodo.org/record/258190/files/millerse/The-Butterflies-of-North-America-v1.0.zip 2021-11-13T04:40:48.955Z 93ac8921a76397e8e30df1f863b5177db82aaba335f663488f59d9d3b0455362 0.12.2<br> millerse/US-National-Parasite-Collection http://invertebrates.si.edu/parasites.htm https://github.com/millerse/US-National-Parasite-Collection/archive/882caeb29eec9409ff980ac75ddbbd31aea9ce0b.zip 2021-11-13T04:41:16.570Z 9b453fb523f7922889845230de74ae34ef06295a6307ef743b0688fa4f6d8f2d 0.12.2<br> millerse/Wardeh-et-al.-2015 Sarah E Miller. 4/18/2016. Species associations from Wardeh, M. et al. Database of host-pathogen and related species interactions, and their global distribution. Sci. Data 2:150049 doi: 10.1038/sdata.2015.49 (2015) https://zenodo.org/record/258189/files/millerse/Wardeh-et-al.-2015-v1.0.zip 2021-11-13T04:41:38.184Z 29427d1a3d0beb010da30f5f5f9db72efb203fc9947848b5d6b404026b2df011 0.12.2<br> millerse/Weidinger-et-al.-2009 Sarah E Miller. 3/4/2015. Species associations manually extracted from http://onlinelibrary.wiley.com/doi/10.1111/j.1474-919X.2009.00907.x/suppinfo. https://zenodo.org/record/258188/files/millerse/Weidinger-et-al.-2009-v1.0.zip 2021-11-13T04:41:46.068Z f5a63d4c2f2f0407c5b932c5a6bc7238f8b784294c37ced0a6003ad064828332 0.12.2<br> millerse/Wenzel-Tipton-Classified-List-of-Hosts-and-Parasites Sarah E Miller. 5/17/2016. Wenzel, Rupert L., and Vernon J. Tipton. Appendix: Classified List of Hosts and Parasites. Chicago, Ill.: Field Museum of Natural History, 1966. https://github.com/millerse/Wenzel-Tipton-Classified-List-of-Hosts-and-Parasites/archive/8eeb5de6e45c97dd4f6e962dcdf5ad65a021c20b.zip 2021-11-13T04:41:51.414Z b57c5d5aee86c4786557f79ab4e23468f242f366de06d8d581a78ad88990564b 0.12.2<br> millerse/Wharton-and-Marsh-1978.-New-World-Opiinae Sarah E. Miller. 04/14/2015. Information extracted from litterature Wharton, Robert A, and Paul M Marsh. New World Opiinae (Hymenoptera: Braconidae) Parasitic on Tephritidae (Diptera). Journal of the Washington Academy of Sciences 68 (1978): 21. http://www.biodiversitylibrary.org/part/50699. https://github.com/millerse/Wharton-and-Marsh-1978.-New-World-Opiinae/archive/5e6ca4a365cc982805ccad588dc129d4bb230f4e.zip 2021-11-13T04:41:56.772Z 28421efb2c2c662b36bcc5986c3b4eeea04ff47fafe5a83675bd66f170237aff 0.12.2<br> millerse/Zika-Virus Sarah E Miller. 2/14/2016. Species associations manually extracted from Lanciotti RS, Kosoy OL, Laven JJ, Velez JO, Lambert AJ, Johnson AJ, et al. Genetic and serologic properties of Zika virus associated with an epidemic, Yap State, Micronesia, 2007. Emerg Infect Dis [serial on the Internet]. 2008 Aug [2/14/2016]. Available from http://wwwnc.cdc.gov/eid/article/14/8/08-0287 and Hayes EB. Zika virus outside Africa. Emerg Infect Dis [serial on the Internet]. 2009 Sep [2/14/2016]. Available from http://wwwnc.cdc.gov/eid/article/15/9/09-0442 https://zenodo.org/record/258187/files/millerse/Zika-Virus-v1.0.zip 2021-11-13T04:42:05.213Z 6dffe9939ddded3e4e5e7af16782a61e5aeb4eb10e78ab74e3c8b76a112399ef 0.12.2<br> millerse/grazers-of-North-American-aquatic-plants Sarah E Miller. 5/16/2016. Harms, N. E., & Grodowitz, M. J. (2009). Insect herbivores of aquatic and wetland plants in the United States: a checklist from literature. Journal of Aquatic Plant Management (JAPM), 47, 73. https://zenodo.org/record/582289/files/millerse/grazers-of-North-American-aquatic-plants-V1.0.zip 2021-11-13T04:37:44.129Z f4390478ab509f8cb4dc35c5db3d14921f3726c30ae552e969907eeaad9478c9 0.12.2<br> millerse/parasitic-plant-connection Sarah E Miller. 9/15/2016. Species associations extracted from http://parasiticplants.siu.edu/index.html. https://zenodo.org/record/258206/files/millerse/parasitic-plant-connection-v1.0.zip 2021-11-13T04:39:11.667Z 21c4ab208b3293e384b511e57fa88c0524234d72849665ecdcb0f73fc65c636a 0.12.2<br> ninacourlee/Andromeda-polifolia-fungal-consortia Filippova N. 2021. The fungal consortium of Andromeda polifolia in bog habitats https://zenodo.org/record/5632779/files/ninacourlee/Andromeda-polifolia-fungal-consortia-v1.0.1.zip 2021-11-13T04:42:18.344Z ff4c997a74f0210310ef8107d6c4905fe56308cb1c86d28715bd0789c55400c2 0.12.2<br> osmiddleton/CarniDIET-Database Middleton, O.S, Svensson, H, Scharlemann, J.P.W, Faurby, S, Sandom, C.J. CarniDIET 1.0: A database of terrestrial carnivorous mammal diets. Global Ecology and Biogeography. https://doi.org/10.1111/geb.13296. https://github.com/osmiddleton/CarniDIET-Database/archive/0301492b944ad1ecf7e17199c96fa99a33d6ef91.zip 2021-11-13T04:42:24.726Z 7ab55e7259d127ad368365baecf25c9504f60317b3e3e03f931ceed462330fb3 0.12.2<br> pedroj/FRUBASE Jordano, Pedro (2013), Data from: Angiosperm fleshy fruits and seed dispersers: a comparative analysis of adaptation and constraints in plant-animal interactions, Dryad, Dataset, https://doi.org/10.5061/dryad.9tb73 https://github.com/pedroj/FRUBASE/archive/ed685ad34c4bc40221fce273c94bfa3e34e84ddc.zip 2021-11-13T04:42:49.107Z 0e5ac8d4bf52fc5b6d6b3302edcc6dae28bf9a6717b50a6c0223909eb86c1973 0.12.2<br> pensoft/pensoft-interaction-tables OpenBiodiv. 2020. Annotated biotic interaction tables from Pensoft publications. https://github.com/pensoft/pensoft-interaction-tables/archive/83dd4fa1f4a641bb1f384c41cfe58e5143848279.zip 2021-11-13T04:46:31.889Z 2439adf727deae06bb9adfc9c7705d2c2cb32aa9ce7678b1b6b2f61b13cde3af 0.12.2<br> qgroom/Sceliphron Jakovos Demetriou and Quentin Groom 2014. Species associations of Sceliphron manually extracted from literature. https://zenodo.org/record/5501760/files/qgroom/Sceliphron-v1.2.zip 2021-11-13T04:47:37.397Z 5c040415d1b66641bd1958f688a5eb3604edfa4d54a17b648c2a1e7a920434ed 0.12.2<br> qgroom/Vespa-velutina Cristina Preda and Quentin Groom. 2014. Species associations manually extracted from literature. https://zenodo.org/record/5501763/files/qgroom/Vespa-velutina-v1.0.zip 2021-11-13T04:47:50.361Z 8a6265113d21d091d5272b5e42ffd190cc7639b0938e6c6e56b5c9d8fe0b75c8 0.12.2<br> qgroom/bat-co-roosting-database Aja Sherman, Cullen Geiselman. 2021. Bat Co-Roosting Database https://github.com/qgroom/bat-co-roosting-database/archive/4d10e1fdaaee1586787e6774350648786edcf333.zip 2021-11-13T04:47:13.942Z 8b0a129c807b6983292e7a028923ca67de716c61ead54d94c4648e4bb5c6fb06 0.12.2<br> qgroom/batinterations Quentin J. Groom. 2020. Bat interation data manually extracted from literature. https://zenodo.org/record/3816676/files/qgroom/batinterations-v1.0.1.zip 2021-11-13T04:47:24.651Z eaa9696146c88345cfeb11b910f56e99c3795cd3adfad25761563c723fa3f60a 0.12.2<br> qgroom/bedbugs Balvín, O., Munclinger, P., Kratochvíl, L., & Vilímová, J. (2012). Mitochondrial DNA and morphology show independent evolutionary histories of bedbug Cimex lectularius (Heteroptera: Cimicidae) on bats and humans. Parasitology Research, 111(1), 457-469. https://github.com/qgroom/bedbugs/archive/08dc6f22358670f7644f29f20419fa57846cceb5.zip 2021-11-13T04:47:29.224Z aad4ba6d8197a54708366d6c5ba6b72ec222b412a29d2940a028798416d90f7e 0.12.2<br> qgroom/template-dataset Jorrit H. Poelen. 2014. Species associations manually extracted from literature. https://github.com/qgroom/template-dataset/archive/1beba309127b8b346fb07cd4c2184cbd1269c5e8.zip 2021-11-13T04:47:42.337Z 362921e5a372e62c5794cc4edda36ad2949bcd1e5ecb42f2b6498408b63cbb23 0.12.2<br> ramalok/PIDA Bjorbækmo, M. F. M., Evenstad, A., Røsæg, L. L., Krabberød, A. K., Logares, R. (2019) The planktonic protist interactome: emerging trends after a century of research. doi: https://doi.org/10.1101/587352 https://github.com/ramalok/PIDA/archive/aae636f5c73830e5f0687382e938e359fb20f693.zip 2021-11-13T04:47:55.050Z d43dcc414ddb4cb3522fba37c0fc9269030f0ad8f183b9b909c10c2fbf6bc58f 0.12.2<br> rnbehm/bee-interaction-database Seltmann, Katja C. 2020. Biotic species interactions about bees (Anthophila) manually extracted from literature. https://github.com/rnbehm/bee-interaction-database/archive/a72d9871749aa17d34f0c10a71afff75b8bb0460.zip 2021-11-13T04:48:00.496Z 8c25c512302c693e56f235b43840244340747dd78d860001143c0545f42bcbd4 0.12.2<br> seltmann/ParasiteTracker-Globi Jennifer Zaspel. 2018. Biotic species interactions manually extracted from literature. https://github.com/seltmann/ParasiteTracker-Globi/archive/ba5104744d9ddc69e7f2205202f9c7bfb18a5b0b.zip 2021-11-13T04:48:10.609Z 892da25516fef71a86914dddfa4d42fafea073fc86750d4139d778c3d34efe8b 0.12.2<br> seltmann/bee-interaction-database Seltmann, Katja C. 2020. Biotic species interactions about bees (Anthophila) manually extracted from literature. https://github.com/seltmann/bee-interaction-database/archive/998a5853c2bec2b3950bd9857bfe79687db21f6d.zip 2021-11-13T04:48:05.646Z 39882a0df1ea9154edafd17546a86cac6b5584ea347d7d85eb08f6a2fee4d2a7 0.12.2<br> seltmann/template-dataset Jennifer Zaspel. 2018. Biotic species interactions manually extracted from literature. https://github.com/seltmann/template-dataset/archive/ba5104744d9ddc69e7f2205202f9c7bfb18a5b0b.zip 2021-11-13T04:48:15.195Z 892da25516fef71a86914dddfa4d42fafea073fc86750d4139d778c3d34efe8b 0.12.2<br> seltmann/vampire-moth-globi Jennifer Zaspel. 2018. Biotic species interactions manually extracted from literature. https://github.com/seltmann/vampire-moth-globi/archive/ba5104744d9ddc69e7f2205202f9c7bfb18a5b0b.zip 2021-11-13T04:48:19.792Z 892da25516fef71a86914dddfa4d42fafea073fc86750d4139d778c3d34efe8b 0.12.2<br> seltmann/vampire-moths-and-their-fruit-piercing-relatives Jennifer Zaspel. 2018. Biotic species interactions manually extracted from literature. https://github.com/seltmann/vampire-moths-and-their-fruit-piercing-relatives/archive/bc1f53d113da3d20d58f5dc423690dccf1a19d0e.zip 2021-11-13T04:48:24.671Z 94031ccd6a7bc41ef24825a07e9b6e25fdf639ebbfc5a5243394b2e3f9571591 0.12.2<br> taddallas/EDWIP Failed inoculations indexed from negative.csv of Onstad, D.W. EDWIP: Ecological Database of the World's Insect Pathogens. Data provided by Onstad and transcribed by Tad Dallas . https://github.com/taddallas/EDWIP/archive/27e4887c11de34ea1f7ef19082be1d8bc7d66487.zip 2021-11-13T04:48:33.737Z 80e2eb6849446807e1b3981fe4557ac9f65e4b66be2f8d56e9724b7f54bd143a 0.12.2<br> thebateslab/mycoportal Jorrit H. Poelen. 2014. Species associations manually extracted from literature. https://github.com/thebateslab/mycoportal/archive/a6ba746e37a069986427c78b285b15514e90e18a.zip 2021-11-13T04:49:01.846Z 465c9496c1b83be1a63aa62616e059138667d0fc9f311df7f16ab9dc25234fb8 0.12.2<br> tkarim/paleo-interactions-test Jorrit H. Poelen. 2014. Species associations manually extracted from literature. https://github.com/tkarim/paleo-interactions-test/archive/5c20a5dd2535433e63560ac682eb98cba2738051.zip 2021-11-13T04:49:06.978Z fdc4f6778f26b13b59a5aef56bace2e6e565d6f9a5d6a43234342883e23835d4 0.12.2<br> tkuhn/template-dataset Jorrit H. Poelen. 2014. Species associations manually extracted from literature. https://github.com/tkuhn/template-dataset/archive/5b617f69987124eb8b2a40d3917aac128070d53c.zip 2021-11-13T04:49:11.799Z b0532538ea26ee1ddc6b313e8c023cd5574cb1e389f2d2878b75bd523e26510a 0.12.2<br> trias-project/eu-species-of-concern-interactions Quentin J. Groom. 2020. Species interactions of species on the List of invasive alien species of Union concern https://github.com/trias-project/eu-species-of-concern-interactions/archive/462cab89adb83000313a53f96795feffdd6a54a2.zip 2021-11-13T04:49:16.990Z 1bc4af580547545a8c09a82e7e1f7ff39e5cfdb4546afef9fd84198fc031eaef 0.12.2<br> zedomel/ballantyne2015 Ballantyne, Gavin; Baldock, Katherine C. R.; Willmer, Pat G. (2015), Data from: Constructing more informative plant-pollinator networks: visitation and pollen deposition networks in a heathland plant community, Dryad, Dataset, https://doi.org/10.5061/dryad.17pp3 https://github.com/zedomel/ballantyne2015/archive/1f266ae725eca68cfb1e32e7e528357ce139848a.zip 2021-11-13T04:50:35.230Z 485b340ee3d2abdc55c49786c17532a9da326f72d730b5249ba38e13abe5ef56 0.12.2<br> zedomel/bartomeus2008 Bartomeus, Ignasi (2013): Plant-Pollinator Network Data. figshare. Dataset. https://doi.org/10.6084/m9.figshare.154863.v1 https://github.com/zedomel/bartomeus2008/archive/eec4b05674efb0805a0222430d01f895e05767e8.zip 2021-11-13T04:50:42.207Z 782c9183380036178bce804511f1c5ec411872af8a75d8862046ed18ec0756ce 0.12.2<br> zedomel/caradonna2020 CaraDonna, P.J. 2020. Temporal variation in plant-pollinator interactions, Rocky Mountain Biological Laboratory, CO, USA, 2013 - 2015 ver 1. Environmental Data Initiative. https://doi.org/10.6073/pasta/27dc02fe1655e3896f20326fed5cb95f (Accessed 2021-04-16). https://github.com/zedomel/caradonna2020/archive/0581d5863c5a607d7fbbb446f6d581c2dcb19f33.zip 2021-11-13T04:50:47.380Z 5301b3caf310193185d72b2cff71c84c299e3c7be81e40b909330446fff4b88b 0.12.2<br> zedomel/magrach2017 Magrach, Ainhoa et al. (2017), Data from: Plant-pollinator networks in semi-natural grasslands are resistant to the loss of pollinators during blooming of mass-flowering crops, Dryad, Dataset, https://doi.org/10.5061/dryad.k0q1n https://github.com/zedomel/magrach2017/archive/0a232001a23f11297d31653f58ef7cbdbc799e08.zip 2021-11-13T04:50:54.615Z 7a45f733bb471ce0afc7a71aefef7b4a27499a406f029c9a42d2020d3de083df 0.12.2<br> zedomel/olito2015 Olito, Colin; Fox, Jeremy W. (2015), Data from: Species traits and abundances predict metrics of plant–pollinator network structure, but not pairwise interactions, Dryad, Dataset, https://doi.org/10.5061/dryad.7st32 https://github.com/zedomel/olito2015/archive/dde6fe0d26220a466c068d8a3a97108b130585ba.zip 2021-11-13T04:51:02.356Z 8a9c96ede06b8014a456688314bd0a1b7bf05b4d487141a9551694ed2c7964a2 0.12.2<br> zedomel/portalier2018 Portalier, Sebastien; Fussmann, Gregor; Loreau, Michel; Cherif, Mehdi (2018), Data from: The mechanics of predator-prey interactions: first principles of physics predict predator-prey size ratios, Dryad, Dataset, https://doi.org/10.5061/dryad.8c40mb0 https://github.com/zedomel/portalier2018/archive/9efb19c56ed01f185e87bfd2463538397426d208.zip 2021-11-13T04:51:07.532Z 614efd0406342196059278b81e09a4bb9ca920d5e3d1e6027571bf7985db314d 0.12.2<br> zedomel/redhead2018 Redhead, J.W.; Coombes, C.F.; Dean, H.J.; Dyer, R.; Oliver, T.H.; Pocock, M.J.O.; Rorke, S.L.; Vanbergen, A.J.; Woodcock, B.A.; Pywell, R.F. (2018). Plant-pollinator interactions database for construction of potential networks. NERC Environmental Information Data Centre. https://doi.org/10.5285/6d8d5cb5-bd54-4da7-903a-15bd4bbd531b https://github.com/zedomel/redhead2018/archive/89ca7296078cce01a293813e509700d6c05faabc.zip 2021-11-13T04:51:16.706Z 1c7ea5a4d2cf7d51718723adaa2e36e0d936518921b7db8c02988cc37cacaa5c 0.12.2<br> zedomel/udy2020 Udy, Kristy; Reininghaus, Hannah; Scherber, Christoph; Tscharntke, Teja (2020), Data from: Plant-pollinator interactions along an urbanization gradient from cities and villages to farmland landscapes, Dryad, Dataset, https://doi.org/10.5061/dryad.4mw6m906s https://github.com/zedomel/udy2020/archive/beb0381fd18b562bf3c4fa609920aee03dda3f90.zip 2021-11-13T04:51:22.110Z daa10b37c0a9ab3df5549b33d247897fcf1ba813af41968bb4a424341dec64a7 0.12.2</p> <p>(content ids truncated, please see attached README)</p>
Global Biotic Interactions: Elton Dataset Cache NCBI Virus
<p>Global Biotic Interactions: Elton Dataset Cache NCBI Virus</p> <p>The intended use of this archive/cache is to allow for offline-enabled access versions of existing species interaction datasets. The program "Elton" (https://doi.org/10.5281/zenodo.998263) was used to populate the content of elton-datasets.tar.gz . The same program can be used to extract information from the cache archive also. Global Biotic Interactions (https://globalbioticinteractions.org, https://doi.org/10.1016/j.ecoinf.2014.08.005) also uses these archives to create derived species interaction data archives, search indexes and APIs.</p> <p>Please note that due to size considerations, offline-enabled access to an elton dataset cache of iNaturalist interaction data has been excluded from this publications and moved into a separate Zenodo publication at https://doi.org/10.5281/zenodo.3950546 .</p> <p>Contents<br> --------</p> <p>README:<br> this file</p> <p>elton-datasets.tar.gz:<br> versioned archive with species interaction datasets</p> <p>elton-datasets.tar.sha256:<br> content signature of elton-datasets.tar</p> <p>elton-datasets.tsv:<br> list of included datasets</p> <p>elton.jar:<br> commandline program to help access the species interaction datasets</p> <p>Usage<br> -----</p> <p>To install, extract elton-datasets.tar.gz into a directory of choice using:</p> <p>tar xfz elton-dataset.tar.gz</p> <p>To use, download elton.jar included this publication and execute the following to get a list of available datasets:</p> <p>java -Xmx4G -jar elton.jar datasets</p> <p>on a system that has java v8+ installed.</p> <p>If all goes well, you should be able to regenerate the included file elton-dataset.tsv .</p> <p>For more information on how to use elton.jar, execute:</p> <p>java -jar elton.jar usage</p> <p>or visit https://github.com/globalbioticinteractions/elton for more available commands.</p> <p>Alternatively, without using Elton, you can access the data by inspecting the access.tsv files in the various directories of the datasets directory.</p> <p>When using these datasets in a publication or product, please cite the *original* data providers and publications. You can find the citations in the data.</p> <p>Included datasets:</p> <p>globalbioticinteractions/ncbi-virus Eneida L. Hatcher, Sergey A. Zhdanov, Yiming Bao, Olga Blinkova, Eric P. Nawrocki, Yuri Ostapchuck, Alejandro A. Schäffer, J. Rodney Brister, Virus Variation Resource – improved response to emergent viral outbreaks, Nucleic Acids Research, Volume 45, Issue D1, January 2017, Pages D482–D490, https://doi.org/10.1093/nar/gkw1065 . https://github.com/globalbioticinteractions/ncbi-virus/archive/531a8d743d7adcf1153a19087e5d3c5b76750e3e.zip 2021-11-13T01:25:31.596Z 7ccb94a24adcb5af77ba7d72d04649ae0189b76eed5e9d4a86e2938d87a1353e 0.12.2</p> <p>Associated content ids:</p> <p>hash://sha256/970526ccd38fe336a0c863fce9cc9967ed07c1ac1dbd7aa46b5a6abac1b77868<br> hash://sha256/c1612d2a43b12a1c2d5a93d8562428bcd802e316f45aefeed4bbc6afbd1529dd<br> hash://sha256/5008acd88c69cc63763c69d481b20042789ffd47b27968a731a6fe0d29ff1675<br> hash://sha256/609b4ee69df8728ce75f6d50c28fbdfe0a4280b38ce947c9f88a08c2d2b15c61<br> hash://sha256/2017cf4bb2b5ebadbfbb587e2532a400402830f633d70a2c7a82b31964a697ec<br> hash://sha256/1e38594c3210ce1bd13e7fee0643d0abd23aa3c4a8cb659d4108bff960e41ea9<br> hash://sha256/aaff351d4a7f3d2da4f8a742e05a6969a25490e553eedf3b1eded689e079fa0c<br> hash://sha256/3ae5b5cd979453c04e2dded1a7075eee1e7fe2f626eeef3f3150e80423c8e8b1<br> hash://sha256/eed5e9e44dd0b4b5c03aaa435589ee2a863c4544cc8ad5041ba7fb64e672068a<br> hash://sha256/3a68707a1933034666b40aff81df7dc4cde581b3bfc1cf60a82ef3339c091fe6<br> hash://sha256/785863eb02633a4d8fb5e7e261e40bd57fc3c6d24dbcb039e00097ae9e9501aa<br> hash://sha256/c48b8ce1c9069117fc063eaa9a06378b55ff0b3559bbb27bfde8bb1fa81699cf<br> hash://sha256/05c0d01bb92c8d69ec5843a7117d43a849aaae674225ed5ae18d76ba14650416<br> hash://sha256/2a7f1e738afdf09c709cd1c6b59c8d5345433f5ce4a4a0683e7703ace0be0fff<br> hash://sha256/5868c9331bb8dc82f7b463616857e4c3919c9621a9cb7481ee120a539a937fb4<br> hash://sha256/dcc2abe8d1ed3a0e62e57ff6d4afcd5475b8dd1e527b3da2a782ec7398a71a08<br> hash://sha256/094b503799330971b9909ccdd9cd2d1e51ecc4160ed5248b02c46b17b9031994<br> hash://sha256/4fda5e4d75695eec1217cf513568407690db37e3ce2a9d4cca1b9967f9fd5353<br> hash://sha256/df00f2e346125096fa6c7fcd9c63d1244c45cca1e869d8d4c9fd17f7de0e6821<br> hash://sha256/6fbb8b388756761961be45cb0c619914e410ef4d13644b493954445dd3c26f49<br> hash://sha256/116364b05fb932a0cee25c368248a8f2f0148c1ef38ed890a2daf67004c303de<br> hash://sha256/3d3b91a04809e2256e9b4a7df9e177af99796b23d5b95ef365c88905640433c2<br> hash://sha256/769c488df2bba90e7086eed8b1571377052255536cefa372504abec983e39c57<br> hash://sha256/a914033daabdb0b1c1bad82ffe1ea34890ce824f6a512335f1a08dfde7dd5203<br> hash://sha256/79b6f0ee918817222b6f1b71a110006f586170e6bfae7f824133adc50277900e<br> hash://sha256/b9ec52cc75379e2317f7e3f8185d3082aea6c6b2e22145284d4ace15ce07e2cd<br> hash://sha256/f3c120fa9c3ef7d037a05399264ecdfa70895c3414aeb9a2b022726dc91b1df0<br> hash://sha256/cf42a81450563fdb6cb1a59a8f615eda9639ca2555294f326940c655342a14f2<br> hash://sha256/0b023bffc085ca01eb69854e4fe281d2ae81223ed1485b9c74751523dc5de59e<br> hash://sha256/e10abb31046ced8122ab78ca743ebc9af88943638500d7d98c6eadb2c130109b<br> hash://sha256/979ca1b20ccc38e47a0d9cd9443784576112819b110b6a89df76feccd81e4992<br> hash://sha256/879c07f3192109f13f85f3550c9ece53b2001a5c5d0314aa261915bc53878444<br> hash://sha256/951775e4d47efead0297f20c55281be43989c72110b9de9bd2328fdedaad7c49<br> hash://sha256/905d6b50299242ae3b15f0022bdcc8d1063813be74fb767bec8df77cd9fae45b<br> hash://sha256/b8fb6ed7970cc19e92daaa1fcd2fd06ec7e390309e0a0be7775ed6981143a418<br> hash://sha256/788d0ee0e001b05c7a1f3ea8ce6dd8492c4cfa60c69ff8d641c9df76fec9b811<br> hash://sha256/753f23df2ea90267068b44a28a66a3f1e55e4f5bfee162e0bd311db7ec55b85a<br> hash://sha256/7110370ef6cb20ad9fdb93126b1e78fbe3ca31c54e09f456c9188c8abc7efdb8<br> hash://sha256/0d227d490b8c95ea15edd4bec3119cd29a0f02fceb501701815359740875c73a<br> hash://sha256/672a1e0cc42ce0847568822e8846c89b36d78fbc968afe53205b579a6e590d64<br> hash://sha256/bd81d95e9dafcd889c48fe1d8f58010b82c7ebffb961f3f5e7ca1c76bce43910<br> hash://sha256/c6a127579d7a35bb06134016ebd47cd8f7c363d8d6384d2279462c104b52f30a<br> hash://sha256/5a4b3f09d766149d0ee2b66f4438f2cd685b52fede8add90f12a11edd4e475c0<br> hash://sha256/14f827a5cba486a0a76a778d4cda136afbbb480f23e13235f26f800c69ff2f25<br> hash://sha256/e217f098561d2febe65f05535d9f2ae75322918b597bdefda58df662935107f0<br> hash://sha256/66a53b2670f6476f8072739c338b21d4e5c3dac88c63970ced2ced7050252d68<br> hash://sha256/2e9526ba3cfb63f1a5337c65660d0a683232cc6c968917f9b4c243644208c37a<br> hash://sha256/444f63ae611a5caa0e92957d6d47a3cbba031ac1464eb08fa4e750ecc958df08<br> hash://sha256/c4f142d9d5ef3b97bf179314a84e2cf761cf145fc4a6024cd64a74591ff74b70<br> hash://sha256/7d700718c5a3a357e17448987741fdc26f10df8307f58792148a69758ca4d124<br> hash://sha256/0f7235957918070ff246423b671a89a683bc49bb4c69a6e30809ecd0a8e340f4<br> hash://sha256/12c713c5eb7850058296586087820dd207d7743f5c001fefc8ce735a5be918fd<br> hash://sha256/9ab0b7c326a33c6ef4189f42931be535e65164f9fcccdc554495f4d6ea50277b<br> hash://sha256/ddabce2b42d73b4cc5547dc62bb36583a95f4d5ddd427d997fd8aa300aaec94f<br> hash://sha256/d314cf7cd40196ab19a089f0affff2240a750a68592ed7ebb011b563aac1201d<br> hash://sha256/11b717649cfd0edb4d15f9585c14701866d1988aa08823926b679dc04a3b63a5<br> hash://sha256/230fe4b782fdd2da9e5a8b54da89529cb272a0827924d818d59c2c9a76a663df<br> hash://sha256/22a7d9f762a426d47b6820c2dc1817999544e40f470e4c666b7c799d80047db7<br> hash://sha256/ec8f00eef7f6674075bd3836a07fc2f7ec215ac26d7d9c1d61b625246b5eb7f2<br> hash://sha256/aa1337e17b77fcf8de9a10abbf125656c5657e5d05a929b1c6c9b819d3a9db33<br> hash://sha256/81b8536bb74d6f83b1d92d1adbe67dfc8fb7469f0ebd49206edd97bdcba9f753<br> hash://sha256/b7d3fac62bc90135af7ad645cb9c93de8ecfe1ea847a64ab173fdd23640c6434<br> hash://sha256/dde878c75d9b415d0c618867d659a38959b5d255e363b607ed33f5c91a8ca61b<br> hash://sha256/69b54b8d2a2c93fbbd210cd58755f73b209bc13103ec51096554ec33d9bb06f3<br> hash://sha256/f945ad8a80d031b7abbc10ca730756e9e5a13b0c94b7e99c3abf3baed21f81e1<br> hash://sha256/a68f3b5e82db1fcd60e77a14188c03727a888032a0daa46002817436db749277<br> hash://sha256/988bab554ef51da265eeea67e66accde66ed769366442e7cd6699584a0fd9474<br> hash://sha256/8b900b7402e4ba48bf52897927731728518216ec15da3582fb4da01baed10fbe<br> hash://sha256/a5cd9163a822968f622d560578ea42ffcd34eadc926463839b9d9b9c1b82e7d9<br> hash://sha256/08477a4cdd137d95793ad5f346434e8303b806f20b3d5fc061b822e87e010b41<br> hash://sha256/3d14b290425e6387716e6fd87d2d4c9ab6ce971c6e1815bdb1e35cdc78a41cbd<br> hash://sha256/8bc976727931bae692b0df4a99657d8e2c05fa9f2befcc20cd6879e9659d92f4<br> hash://sha256/5456c9a193b8906974cb8a148b9ff3cd79ba07002d2ec1ebaf306b73360a41aa<br> hash://sha256/9d06979667bfc6e052a90fa9f1160c89ebeefd6ccb190aae953ab9e00cfb7896<br> hash://sha256/0075100a0a172ed5ee45afc28a661cbcb3cb7074401269d793a4e8d4530a8165<br> hash://sha256/efcad723a8d5d18bda33263b12b903d7dbfdbdefaaf809113a32d6383f69cb6d<br> hash://sha256/6d36966ce62097ae4548f703b1b7382bfe9cf2258e9b43b2d031bd86e49a51af<br> hash://sha256/4774455c518cf6c1461f89ccc0cb586708de8707523d19f9800b898e1cc488f6<br> hash://sha256/f6f50201927ae408cb077041d94ccfecbf877801ce03e60e4132b7a4cbe69541<br> hash://sha256/689418744ddb9ed3bab55625858f96c50a1cbfcaaf0a29fd33006da36b0fb169<br> hash://sha256/b670273d1df8d9a13eebc6cd22f38f9c3d2105f01651e498092de09cddef4cc9<br> hash://sha256/01837c9af8d87094b174e28dfed83259d8794bdd7c7bef5b73ec062365a2e215<br> hash://sha256/63c34e3f02d02400342a049c9ec57e767f2e0f4e98b31aa062da3be092c5971c<br> hash://sha256/474b0ed58fa3697ec7c23c7cd749b4e0b6decc6968119d166bc6c49112e8d8f8<br> hash://sha256/039af25dfafb06813b4c4ab1185a7bc6df4ae27ebc86d79c07ba08266251d672<br> hash://sha256/b6ad5082bd91038277d23b9de11551791b3f822bb8e889cdde4f8a6b629a6ae9<br> hash://sha256/123fc48ed2b5e988629f3208f82c70280dd88521986f8224b69fdf531aa4886a<br> hash://sha256/4ebc43a7b7e7412d549279bd48e4cef372d6c5bd7c507a90b0bcd9ccbea99f2f<br> hash://sha256/142e87d61c13f71ce1f9fc9acfda3e2b5deeaf8a7019b9b67f14c161d3cf311a<br> hash://sha256/4777e2a760aab92589d5cd79fca159e4dd726fb38c392a9af25103014b95c0d9<br> hash://sha256/decab6eee22a6fac3170a215c62cff8e16fb1c05948541a2a8f5630b82a2e782<br> hash://sha256/01720e183296ea042f38fc6a4449457548ba8d4e553a5c01e58affdc19c64dc3<br> hash://sha256/baa7c9c7f4778f3215561f4929f7f4c22dad54d286fafb999a1807e47f6914fd<br> hash://sha256/b9a97ff71aa4de2f86d014a0514ab4f9b575d4972a8af3dfa8379c57d7e75d14<br> hash://sha256/db54935070581c0c9968497b3fa8b907c63e9e555867ba52a1d45bd43deeeac0<br> hash://sha256/71b2113f4e85f3509c33b9104a3e97ce71466b788f8661ab86d917213070588a<br> hash://sha256/e78bf2a63eb403c2f66d7b45aac7560508c51bcd24918455fb2354019d7823f4<br> hash://sha256/6a35f3de50690778927e7a55488211c0f0c981aaa7a7280bfa88d79e4c54693d<br> hash://sha256/8042a9600fb8be95dac7dc03b78ef3059dc3c50109b0ddca6e6aff3964f622b0<br> hash://sha256/253bee7212797a6bf98f62f13f9020b2183d00d2e5c2135fe78536cdba2e217d<br> hash://sha256/e39476107cccb94a9caa91693fd84f150bd8a26ebb70c8660b73294d2c0405c8<br> hash://sha256/b57382250072167bb1e2c01ef25e4d643ac0dfb57b3bb7e346bf263dec1dd00c<br> hash://sha256/1bce9ba6e3a4ee00cf8287ccb06fb98811bcb1c02e3d0cf9316953f59fa5e74f<br> hash://sha256/ffad4d95334d50e4f2a80c7b5cc34931444a5781589d0c63568f4caf5e8452a9<br> hash://sha256/5b05dd8d778dc415a6274f97f47880412c517c4dfb866c489046281e2169a624<br> hash://sha256/354b43da6aaf40cea9897f7052ef8c293276c7c620faf78693571793a393fc7f<br> hash://sha256/64b7f5e25bc5634708492dd9e4980f4f49be6808f20fbef8e97e3e8d9b703f72<br> hash://sha256/e73254456d59c682014589358d3df047598445af7d4223f6e85dac1690630d74<br> hash://sha256/0f2d39f6b93ebe17856c032162a1d62e4b97f66ebfa77c51941197cf7901c6fb<br> hash://sha256/e49cd6ade75f1d00e03147e8c42fb78c33f156d97b1302087a6d36e0c9b9fe7b<br> hash://sha256/48c25cc3a9d5cf506d75724946b22cbbbc8361ecb8cd9c5fa302a2597195de29<br> hash://sha256/7ccb94a24adcb5af77ba7d72d04649ae0189b76eed5e9d4a86e2938d87a1353e<br> hash://sha256/dbf2ea546f58ea7d025e55682da3015f880efec20b795d81a362cd2923d34e9d<br> hash://sha256/2a3ead40be481704e2c842e65d78728177f4f5d30d138cb99b9e6186f6cf1138<br> hash://sha256/17811ec57ea36cde84e216e4cad51f99debefe1d6e56b48cf4ad2c6a3a8fce4f<br> hash://sha256/8ae4fd7ffe48aa74c17b03e373164263950ee9f79512c9fe2aefd26d375de6cd<br> hash://sha256/b7b0e31478f3924458a1fa4d5cf6aee095d52c6cc5800012106c4940f2a70fd9<br> hash://sha256/b8efc84fa95d8476f1389563844ff3a71c883c2b78a5e01e863c277249bf4375<br> hash://sha256/5010327567c99dbcb04ab228b6e95cc34a54125612399c2a485fec96553b86c7<br> hash://sha256/5768870c8bb03165049500d02aef5e41b3a803e47749a9921a02eb6821eed717<br> hash://sha256/e06c1635ac8971cd181ddbc4a00c462883efbcfa8414a424d6427fea90ac2971<br> hash://sha256/00cc52908976d7782849aa4021d5d4e13377c681b9fd803cf1eded3819e704e9<br> hash://sha256/3d66409052df5f0339563dcc0929318c082353fce9bfb2b34ec0cfd669b95e2c<br> hash://sha256/a2abb84755ec9062a9e9f21eac69a7fcaeba36796d438f64d2997ec7a2e4ccf5<br> hash://sha256/74eadc01253c54377de9be4a2723fde180c97aae33506ee96c6ee5342336588f<br> hash://sha256/d1a93dba8520b1291ac776d211cc3249a01d181cd984631ee0200a488fd72269<br> hash://sha256/7dd23990a21fe9bff06b6ca8d67a6757a7c1f393754795c823ad0a9d15112b0b<br> hash://sha256/4355451d60c5bb8fdc67465150f3ae1c759ff69431402a70061762c818998551<br> hash://sha256/ab2b340da3470e091db3e440c5b47c2b6ef03b68ab9f3da2ae8e0ee259b55faf<br> hash://sha256/57d92210ea7ffbedbabafaf23946aac933e9975ffca5418bd658b6a0bfdbdaf8<br> hash://sha256/7c90d3a6cbfec55d64f6687898bee0f0c6d364114cbcc8425988e567f5b037b7<br> hash://sha256/2c62bce04478162a9979c4c4921c295b2e1fe90bd85640edb4e810151a10ce04<br> hash://sha256/0c589d7c8e49f16c47ddec749a129d93b73a942a9759403cf9a5b86c62ad3219<br> hash://sha256/b7196079692d68c448f577791ef836fdb726b22ad1afb97347e30479fcdaa63f<br> hash://sha256/567fbbcf5778d08d3b568763e9c01916e4abbbe07e73656f91fed03fe7c86be1<br> hash://sha256/3aed400c94047c33b60d5067ce84674a0c5fc1d17a5a1d798275fdf7eeb9e83b<br> hash://sha256/d719c30065c81b69d6521053161a12c54026b531d315bc6fc44f13b964a97ce0<br> hash://sha256/d52214e9b4247a0fe4871d770299e34ccc9b42617200c80c1ba429bbd1691c00<br> hash://sha256/4af2ce941189bd37a132f9cd5c7f5847eb8d109b71d2cc380dc30d086cebd7b0<br> hash://sha256/6c924edde9feb8f250795e3edeba312b9cd7e67af2192f74da196da4eceb0a8f<br> hash://sha256/4d4dd1356e0dd4ca28a13b046fee7f32b1e9ec374dd4383f9b8294dc3dde42e6<br> hash://sha256/7a6c4107509bb07e400bc5bb85064c9af4dbad52a3a527f89117581993583a14<br> hash://sha256/6e295b1eefc353e09720948588b02feb6ee3e2854f8c4d69dc509859f92f147d<br> hash://sha256/bf0694bd458425e7863929ad8ca7773f0f64b4067bf861a63be2fea1c2e7d387<br> hash://sha256/88b1f8a6a8d0a8c45797eb242699a676f7803181def8454a0f51b6aed80db841<br> hash://sha256/0f1738394f6a40c09ed6279bcb4031ce7424384458f85df5fdc8b21eac2f5673<br> hash://sha256/c0b545033c24f5ce24f012dcb6fdb0c8de6891aa956c0bf3209d6e969c71bc6c<br> hash://sha256/f1dd8e4e8f41e4a01c425e736366a834336122f15f1a673414551c8ab885d95c<br> hash://sha256/9ce6de73361ff50f255996ed5bc7f194810a815af0e4a3f34707d97da9d3e6b5<br> hash://sha256/5a8294d186c2c7254f18639d55fcf087f20cb1c1b63d2959ab25644451c5f472<br> hash://sha256/8af5231989f996212f78d42a265865ce83eb858bdb14b43e697a64643c8de1c6<br> hash://sha256/202dfd38d632af449319be1492a603d2f32781d5a89ff19fac8b97a53108db96<br> hash://sha256/b26a55ec17999f5e08d1ec24367d8a45607a05bd3e3ed5c7839d0e685a29f496<br> hash://sha256/3ad8a44257a1fadd852b30398be4cef35b912f00f5391986d0001c2b289c580a<br> hash://sha256/12f7fdb5d84a925014dcfec131315931930ac70e193b3372f5efceee81de8c95<br> hash://sha256/ae31ef34ae7166c3d0768aabe5c5f406cd47c2f47f1e35bdf023faa54473d09e</p> <p> </p>
Global Biotic Interactions: Elton Dataset Cache Museum of Southwestern Biology and dependencies
<p>Global Biotic Interactions: Elton Dataset Cache Museum for Southwestern Biology and dependencies</p> <p>The intended use of this archive/cache is to allow for offline-enabled access versions of existing species interaction datasets. The program "Elton" (https://doi.org/10.5281/zenodo.998263) was used to populate the content of elton-datasets.tar.gz . The same program can be used to extract information from the cache archive also. Global Biotic Interactions (https://globalbioticinteractions.org, https://doi.org/10.1016/j.ecoinf.2014.08.005) also uses these archives to create derived species interaction data archives, search indexes and APIs.</p> <p>Please note that due to size considerations, offline-enabled access to an elton dataset cache of iNaturalist interaction data has been excluded from this publications and moved into a separate Zenodo publication at https://doi.org/10.5281/zenodo.3950546 .</p> <p>Contents<br> --------</p> <p>README:<br> this file</p> <p>elton-datasets.tar.gz:<br> versioned archive with species interaction datasets</p> <p>elton-datasets.tar.sha256:<br> content signature of elton-datasets.tar</p> <p>elton-datasets.tsv:<br> list of included datasets</p> <p>elton.jar:<br> commandline program to help access the species interaction datasets</p> <p>Usage<br> -----</p> <p>To install, extract elton-datasets.tar.gz into a directory of choice using:</p> <p>tar xfz elton-dataset.tar.gz</p> <p>To use, download elton.jar included this publication and execute the following to get a list of available datasets:</p> <p>java -Xmx4G -jar elton.jar datasets</p> <p>on a system that has java v8+ installed.</p> <p>If all goes well, you should be able to regenerate the included file elton-dataset.tsv .</p> <p>For more information on how to use elton.jar, execute:</p> <p>java -jar elton.jar usage</p> <p>or visit https://github.com/globalbioticinteractions/elton for more available commands.</p> <p>Alternatively, without using Elton, you can access the data by inspecting the access.tsv files in the various directories of the datasets directory.</p> <p>When using these datasets in a publication or product, please cite the *original* data providers and publications. You can find the citations in the data.</p> <p>Included datasets:</p> <p>globalbioticinteractions/msb-para Museum for Southern Biology (MSB) Parasite Collection https://github.com/globalbioticinteractions/msb-para/archive/54643c878313d7ccbf30325c713925d6c937fc9c.zip 2021-11-13T01:22:28.662Z 43a7e837b6e27532cc90eb50995fb4db169d0c8109aa27742cfabdedb3d390dc 0.12.2</p> <p>Associated content ids:</p> <p>hash://sha256/567720ed6bc8ed0e73020eb1cefb601ce274715926f42ad3b22197e26f07dbd6<br> hash://sha256/3e401123bcfe9d67ffa149b3a5208c4d91e3291c56a089796287ab9f90a3aed9<br> hash://sha256/8b0e05281afa51031f25fdd9238a9a8df2beba81dbb71aee8f05fd1265e8216a<br> hash://sha256/072be68d48c9e841458a1f60da6e66173406a97af569a04953e8a06272c3f3f4<br> hash://sha256/69493156747f43e6dedd09bdfca0ae89a8e0c97183ce71f7c8a51965361d8529<br> hash://sha256/5dbc9eb2b059a72e13c9726ffb4b6af203361254d85cfa4b4ab59cfdb7bf8395<br> hash://sha256/3af388dbae61d93e6a4509b50c141ee8705f65f4fe4e05c37b30ce7f3f7fb4f4<br> hash://sha256/d0143cd7ad5cdb0f95215abf191a715533b6d275cdda9e0a43aeef4a02d9b8e2<br> hash://sha256/04ac42484f839523527ca89f789ea9a245eda78ee24e3b6b347ee65fd206c2c7<br> hash://sha256/744e69970ce7abcd36f5dd02acd61a44e37d58e8f7d33397ec9e9904eeea3d2c<br> hash://sha256/86810de51437c4ddfc8dc41f5596466cf5641c42f9c83e4f2bb237db61859458<br> hash://sha256/c663f9961506e3a28a7a3c50f35ef7a513bf0228fb1c78f89cb7b211b8ae68eb<br> hash://sha256/6d6d59bee1facb8b7b2d6240e508c93646ff2aba17b7a00f3a476019fe1a8d2f<br> hash://sha256/58f9279d56e59dd294abff0b56900900a1bc1e0a1bc5119a05262f89075ff9d0<br> hash://sha256/153bc89714d252f651a51dad1fd9fd10fdde9d011295f77a90d8b55bc4f41760<br> hash://sha256/23f1c12611580255165f8db31d1dc2603c1dec3f4785ea3133ec11148d3cea1c<br> hash://sha256/839a5b7c265ea594e4a5c60ffd4239f1340975b8f6869c0668887615aa263a51<br> hash://sha256/5911ce5014722d467b36390b382e0fadadbc4c08cbd9b7a83a0f1dba3cc4c179<br> hash://sha256/09d16992192bdfdb231d1fde9617324fc430ebfcba217a14cc79bd8d1d265323<br> hash://sha256/efdb2d5f7193aa602c01364f204672bb5ab79f9f10c24a7f3aa9b61c6d1ccc19<br> hash://sha256/696f9b2aba8218dd9163f3d3c3801c14f4393665538571a7e32681d942019425<br> hash://sha256/ae87389f2e17ce8ff0498c3560936fc3fd58529e2ea7aad6bcc475d871c407ad<br> hash://sha256/ea6dae042759a79708898316dedbd09ea64047e8f3ea0615b224e7fb488a778e<br> hash://sha256/e66b6bf4c14ab2899b57d05f5df3b3cbfe4fab4398a57201fb079ae728ad939a<br> hash://sha256/48c68b584b7da5276e3e768bf544db23870fc151c5886d60a8343f312b74ff59<br> hash://sha256/699058a028a4512f384ed12905540b6da152c801eb933dfb8bb7327cbf320028<br> hash://sha256/063a01cd7142498db39254d64491a64aad9763063c145a6255758ec855317ab5<br> hash://sha256/d54d6ebf28db71aac9ecb478a853814aea88b2d444a28c8f41d483bdfa658ddb<br> hash://sha256/2dd6224800ba4213e25f8dbcaad4415f8a79e64ea58837933765e07cb76b440b<br> hash://sha256/9c6c4c4e65211805d5313fca8db474c259bb7f78ae8c913c22f363894093ea97<br> hash://sha256/ccf0ba861d0baf4b07ec98d8d316e20907701640207a30c8e028d453bff8315a<br> hash://sha256/f84efb0fa65e992000ed88286a46b5002be5b86746e55193a443f0207fc03e19<br> hash://sha256/7f3a60aa646cfff30f9f7b3d7f6bc245ffd8d0adf9756b23912055beb9ef55fe<br> hash://sha256/4630f1b8f75ed2b72eb207eee0a5e162b69827a78d4863feacb4251a8971acc5<br> hash://sha256/33cfafb530c1bf922233cb2bbab8fae6432d933f49b664e427d26fa83d2f1512<br> hash://sha256/58f78efc777c0c98da94f08ae6a7b4086ce443da38c48484a797f7fa48f2d33e<br> hash://sha256/9e679f22382daf80f43bb40730da24c063bc93648ca690f670aa7759e0738815<br> hash://sha256/9bdd72c9c1c46658cbbff27e72d11aac337d0df7c6bed27ad2bbe9eb3674716f<br> hash://sha256/73876364b30e626104b38ce78b7300e3aef0034c93b9a8617553cc3096ec634a<br> hash://sha256/54724f55de92e8c0972857c9a8c9025aa6732c95bc2b82bf7059a2b94e2dbb97<br> hash://sha256/25e60c85d5a3d0dc99e75c0bc914871fb887b93d2face8a13b268fed40701ae2<br> hash://sha256/3cf9036536595ad0f610eebdbb0e71cdcd5e592ef8fe92a292c3432d8003c91d<br> hash://sha256/f14f46b619a5a4bc3c54817686dee2616e04b4d28f6a1bcb8ce42f92a23763d1<br> hash://sha256/c5685f62023f0c7598f4c0df0c1c6abd88cd69099c1a2270e2326c92414ae8d5<br> hash://sha256/192833e421861ea60be772d27e6ae4d77894e15bdd7bec9d82334131d2fa340b<br> hash://sha256/123c530d39a6208ceb98aac89ad454d274fb87f4df3ffafb3cfd1cc4131671e3<br> hash://sha256/e6834acbab2fc2e8226ea13a50193f3298bc56cdcc5b795bf9a327cf1128e68e<br> hash://sha256/75f0fab12bf9692f0088f1ac8877708d0f1f6c52acc688c62462d12f9a3127b2<br> hash://sha256/f361208cdd53f4535908c6d575cac1bf677920fd52ad499ac46b5bcc0dbf60e7<br> hash://sha256/8ba38f7587a85f3bfb0a07d82ccc6cff69bc586dabd3c93139c3e9e5752aa1d9<br> hash://sha256/29840fa2e69b15b9913af921f2a738602f51a457d4cd92a8dee79562a4875d94<br> hash://sha256/2b5cb320b5ee4d345bf3b9fdf3648954b4cbce3b2f822d488a7bb92ab52ef171<br> hash://sha256/d80303453592038c485247966d611c13ca6304f03d44f0bc9756097a275fbc13<br> hash://sha256/0e7f50547be1add0b78c29f36a66e471ee04909a4775b31e0868d320a7877e15<br> hash://sha256/128453c25acb3b1ed0112df1a119e67f5098ab8f0b038412733b34a9deeec1bb<br> hash://sha256/7955d7aa5eac29a40ccebd3d09bf1f7623d8fd3709f442a0f4049998845bf8f9<br> hash://sha256/b00ebcb02f6c9003d35acaca8db452fb8be77b5def2203e9a2a6c860b3ef9ed7<br> hash://sha256/1e07f7d60fccfddd7d4938a73dc93e2962d6bdf61bedaca32312c8071b22fa19<br> hash://sha256/0ec454267c227b8d7d06c2eebb1d6dd7140f4197ab7d944b244fd644afee245b<br> hash://sha256/702a1d6815edbbfd1e2a786122b5359c3c1ba46d27d19dfe2705a9d0c3059123<br> hash://sha256/9b1e465dba409878106d5d84d62ffc8f412bbae42a648941813b5adbdf4890fa<br> hash://sha256/db78a1b182ce789d4a1c7ee9f782a990156aa61099b5ef52666ccc72e885272c<br> hash://sha256/ce6f124d4c453b4826a739790bff863f115371beb366b95525f1e964819c29f5<br> hash://sha256/f2ada98d942e74ad2b6ec2d3be65ef5c2671bc7039a3227669e8008870f3d7f9<br> hash://sha256/3a01949c722555b7d2fa3b37e2b82f51069ca9a82869fc1ea3529ad2e6279c9a<br> hash://sha256/03cdbb0d8700b7168e867a4bc35c066d6b8eeebd1307f34958771a6338872450<br> hash://sha256/6bdaaf47da035a48089ce14a0fda9cc8463f4ca74750abeb1c344ef04df75aca<br> hash://sha256/9b2a1d1f8b5fd74144e96713cf06a4fcb190fb2bf723f3cd92765724535539b0<br> hash://sha256/cf16607263c6837d8a93a466a8bf29b0719b0365a43376cb1fae080e4bc9614d<br> hash://sha256/e236a814bb9ff501c3698c372a686d5670ca497f861cee33118d4cc674eeb80b<br> hash://sha256/4e9f328a987fa31ec8333d204cc7cadc932fb463f0db6cad6d4257d16b5f9e00<br> hash://sha256/5cfc5c4b73104beaca2d7ee8b8b50990fb9f9ca8332f83d4068cc1f6c15d1cb5<br> hash://sha256/43a7e837b6e27532cc90eb50995fb4db169d0c8109aa27742cfabdedb3d390dc<br> hash://sha256/6c7ab7ee6d514d04e6d3d2fe79a1f239cec16d1ebee5b011a0f337c0c626eb7e<br> hash://sha256/e7382124a168d5613639c47530989b3112139d2f7b1ad3b9653d62decc10ce02<br> hash://sha256/e1c4b54e4c18b4c02534e6d69b3fd57fd630d00521f876efb719ae2d90f5573a<br> hash://sha256/bfbd47b31dff20ec483e26d86af1f38aa035f6ec6a4e62825e8b7fbb538a527f<br> hash://sha256/b2107f28fe9f4a168a526a2e5472ef553e0a1fed8094065647791f4829a51cfc<br> hash://sha256/3d0c8b1be95ca4a0382defe8de96853968a8a7cd94b3d9f4915218a7bb771c8f<br> hash://sha256/94b4bb1651e9816c9137c143c05523d8c452a04ae2a39a3085a8e8463cfeb2cb<br> hash://sha256/123b670ed12662dcc150fa4a1d391d5d81d5d57ed2101b0ded844dd42269fb9e<br> hash://sha256/c7dea0890e8c778c6c79119c599ef606543a612e5d9a9b35b1bc08720a7c37d1<br> hash://sha256/aff80b8f578430099dd9a8489d68195f6ec058167ff43b59a20b273c07dc69f4<br> hash://sha256/d63841cd03e9bd1edd28d4e89d3f412d5b9117cd2b80350ce38a03e12cd15066<br> hash://sha256/6b1b6f3c4cd166d5d1f087ccde996a948af776ddae8c6c9a4ecaa9028b244e60<br> hash://sha256/fa73a979f6d3ec020459b03298e42fef1d0be399466867e2258c94da1d7613e3<br> hash://sha256/6146fc9c3c0a9f766d41ee08f699eaa6f0e3f171f72feb2d40e8a1edf61ab84d<br> hash://sha256/fe72c48d094f0273bd6580a956f2d60ef2802e298c888239e5df2b889c146e30<br> hash://sha256/31e61eb8035b01508dd70200426bc5154af7ac07451dc839dcc2207654ba68de<br> hash://sha256/4b9c2d0063393cca67d88f218a44f049bb42f8e86e15b4c16f8dd14b4992e8f4<br> hash://sha256/ae937100bd982bf7a819697e69070b5a7bb1644b39740688f05c220f70c74b43<br> hash://sha256/625167a97ffcbf26472e83eb5fbaceb05f86c1455b0aa94da8571de47bf85a44<br> hash://sha256/9aef51a74e2b126dd9bfa1f71f27a543f194c00e7fcf62b395622aaf81c80483<br> hash://sha256/47c512872f98bff639301f94624b6ca2629d7101b60590c30eed0b5be1e91204<br> hash://sha256/f2641d07959a26a487402b8ecce89901544738d978df0e63c49c00b7f9ab5611<br> hash://sha256/1159d5e19ff063ef5f227ff6c950b59c6378143fe459a24bec36bd6a8fbe12a5<br> hash://sha256/424de30fdbe18f274d28db4c5f5e6ef081c44d3f6b7714e32e046f7de642d298<br> hash://sha256/496447e9c0811a36feb7d190c813efa09d206fafdf6d9cc68c09245e7f316e57<br> hash://sha256/0f2c716e681269f34913e5ddbbc647c9e0f36e5d27eff281bd6b8361cf871ed2<br> hash://sha256/d0f27eee87549aa3e90870cc2e1b1e54c3c10c1964330d7844e6e6752a3b0d1c<br> hash://sha256/28484ec162403ea23c7561ae45bd36c1aa52d55be578607bb786a7d8d1e02269<br> hash://sha256/d71a5cc1eda721d6f3d8731b5462fb762b7e5c072784369ca440f2d20b9878df<br> hash://sha256/c8b68936c1d28557014a44614d0411340c09de8ce4c60caf0f1e2e646ba4d41a<br> hash://sha256/60a3f89e8de272a1644df63a901c691eaf363e91f1272514aee0842fb9f84a31<br> hash://sha256/1cda2cd112c4cf4f50c9b3bc5153ee5dd4a78ad8710f5061d6b11a2a9a1d9fdc<br> hash://sha256/c8cefec1e4887114447399a029618d55205971fcd2a7ee869be23813313cae64<br> hash://sha256/936254bb17c1a33bc97eac8dc04e3b5d8291e849de80c637f093b6167837c959<br> hash://sha256/9081f272a2a1dc66381c7820b87c5906f32d48ad5cedbbf16d030963462e5b8f<br> hash://sha256/99c92a63299da8009f2a136578aebfc53e15e98d66c8b94fb1c7617322540ac0<br> hash://sha256/3fefef7655c6ca85cf040c49d3a6e996ff26d44b9243dcb45793ce9b8758ba34<br> hash://sha256/6ef502b8caf8a1dafa7f9f446f435dee40e2c7620cbe2c1440ae0b50ea6aaea6<br> hash://sha256/f86896e5952a8e849d4d5aad1600cbe8a6b097781c7678fe176827aa83899917<br> hash://sha256/e82bc4cda775fcceeaff88ae8ded371d80986049f19856f91d85e64c9e7f1cf9<br> hash://sha256/7726cf33ee3c8f5fc0a49e552b055832e4f18768bb392adfbdb78f46ed397583<br> hash://sha256/b586c1f7edea105a6ea26fa2756143bba090ab6edc633a8d8c32345d16f46b09<br> hash://sha256/80ed6a98fbe409e6f71f1fbcc50d63fa54ec1497827698868cddaf363c6a41ef<br> hash://sha256/4e4421617af98d502e5a962eabfb45476e463aefe39e917297e9b9743ab4d199<br> hash://sha256/8e40691d83323b1bae6d7b6792823e02ca5fbca78f1d10bb9ba9fe0d018cf77f<br> hash://sha256/8b433c524c64958465c894ee40ec4675e15fca70a3bb26c41f6487b3edc6436d<br> hash://sha256/2dd2b611faaf0ae571992d4f44032010dc9a16b52cb3eac2c6cc1eb75a4d4069<br> hash://sha256/636a65ce9b8ff30bac73e32474d19441ce41af107bdf9228ed17cc6d68374451<br> hash://sha256/dda0cffa375ef2326e6170fc9853ef038a135e5b065a251432bff5f323fa85a2<br> hash://sha256/2328b5e346e2e7cba9cabeddc740962151850e6213ae27c6b24b39efe9df9821<br> hash://sha256/bab68ce5461cca9d223f8330cf1f768805318fa8b6e0af7da1042b78364310a5<br> hash://sha256/22baff13b3465c843731d54e05a00bb7913b4c64f6b655b3f112f71157851938<br> hash://sha256/02e60e1070686c67de54d5b4e36ea4faedf21b64bbc66afdea8d2ec10e7bcba4<br> hash://sha256/45ede12efbaefa88d58a0f65a5d5218e4b2d9a96e073dc96e82d9fd7a8e681a6<br> hash://sha256/bf0a250e665bb620a0777b369c65af1d3950a773435464552fd1cd85159d2510<br> hash://sha256/0f0885a27ff7d752f6707eb6f563f704ae5d346c256b83d0855d2f981eed7f89</p> <p> </p>
Dataset from "The Land-to-Ocean Loops of the Global Carbon Cycle" article
<p>Dataset of Tables S1, S2 and S3 from the paper entitled "The Land-to-Ocean Loops of the Global Carbon Cycle".</p>
Dataset from: "Global labor loss due to humid heat exposure underestimated for outdoor workers"
<p>Data from Environmental Research Letters manuscript 'Global labor loss due to humid heat exposure underestimated for outdoor workers', DOI: https://doi.org/10.1088/1748-9326/ac3dae.</p> <p>Associated Python (Jupyter Lab) scripts and working environment to load and plot data can be found at: https://github.com/LukeAParsons/erfs_comparison</p> <p>Abstract:</p> <p>'Humid heat impacts a large portion of the world’s population that works outdoors. Previous studies have quantified humid heat impacts on labor productivity by relying on exposure response functions that are based on uncontrolled experiments under a limited range of heat and humidity. Here we use the latest empirical model, based on a wider range of temperatures and humidity, for studying the impact of humid heat and recent climate change on labor productivity. We show that globally, humid heat may currently be associated with over 650 billion hours of annual lost labor (148 million full time equivalent jobs lost), 400 billion hours more than previous estimates. These differences in labor loss estimates are comparable to losses caused by the COVID-19 pandemic. Globally, annual heat-induced labor productivity losses are estimated at 2.1 trillion in 2017 PPP$, and in several countries are equivalent to more than 10% of gross domestic product. Over the last four decades, global heat-related labor losses increased by at least 9% (>60 billion hours annually using the new empirical model) highlighting that relatively small changes in climate (<0.5 ◦C) can have large impacts on global labor and the economy.'</p>
TimeSpec4LULC: A Smart-Global Dataset of Multi-Spectral Time Series of MODIS Terra-Aqua from 2000 to 2021 for Training Machine Learning models to perform LULC Mapping
<p>TimeSpec4LULC is a smart open-source global dataset of multi-spectral time series for 29 Land Use and Land Cover (LULC) classes ready to train machine learning models. It was built based on the seven spectral bands of the MODIS sensors at 500 m resolution from 2000 to 2021 (262 observations in each time series). Then, was annotated using spatial-temporal agreement across the 15 global LULC products available in Google Earth Engine (GEE).</p> <p>TimeSpec4LULC contains two datasets: the original dataset distributed over 6,076,531 pixels, and the balanced subset of the original dataset distributed over 29000 pixels.</p> <p>The original dataset contains 30 folders, namely "Metadata", and 29 folders corresponding to the 29 LULC classes. The folder "Metadata" holds 29 different CSV files describing the metadata of the 29 LULC classes. The remaining 29 folders contain the time series data for the 29 LULC classes. Each folder holds 262 CSV files corresponding to the 262 months. Inside each CSV file, we provide the seven values of the spectral bands as well as the coordinates for all the LULC class-related pixels.</p> <p>The balanced subset of the original dataset contains the metadata and the time series data for 1000 pixels per class representative of the globe. It holds 29 different JSON files following the names of the 29 LULC classes.</p> <p>The features of the dataset are:</p> <p>- ".geo": the geometry and coordinates (longitude and latitude) of the pixel center.</p> <p>- "ADM0_Code": the GAUL country code.</p> <p>- "ADM1_Code": the GAUL first-level administrative unit code.</p> <p>- GHM_Index": the average of the global human modification index.</p> <p>- "Products_Agreement_Percentage": the agreement percentage over the 15 global LULC products available in GEE.</p> <p>- "Temporal_Availability_Percentage": the percentage of non-missing values in each band.</p> <p>- "Pixel_TS": the time series values of the seven spectral bands.</p>
Global Dataset of Shark and Chimaera Ranges
<p>This is a dataset of 534 shark and chimaera ranges as spatial polygons in a .json file type. Collated from the literature and shared with the IUCN.</p>
Dataset : Predictors of global monthly precipitation
<p>The predictability of global monthly precipitation.</p> <p>Currently, only one site in Beijing is included.</p>
Global lake evaporation volume (GLEV) dataset
<p>--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------</p> <p><strong>For an interactive interface of the dataset (Google Earth Engine App), please see <a href="https://zeternity.users.earthengine.app/view/glev">https://zeternity.users.earthengine.app/view/glev</a></strong></p> <p>--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------</p> <p>There are three csv files in this dataset. Each file has 409 columns and 1427687 rows.</p> <p><strong>1. 0_evaporation_rate.csv</strong><br> The first column is Hylak_id from <a href="https://www.hydrosheds.org/page/hydrolakes">HydroLAKES v1.0 dataset</a>.<br> The rest 408 columns contain monthly evaporation rate (mm per day) from Jan 1985 to Dec 2018.<br> <strong>2. 1_openwater_area.csv</strong><br> The first column is Hylak_id.<br> The rest 408 columns contain monthly open water area (square meters) from Jan 1985 to Dec 2018.<br> <strong>Note </strong>that this is not the surface area of lake as shown in the above GEE App.<br> It is the open water area by removing the lake ice coverage.<br> The surface area dataset is available <a href="https://drive.google.com/file/d/1ltWmB_Gj8jcFeDU3mpdGJXOx3uyVYcqN/view?usp=sharing">here</a>.<br> <strong>3. 2_evaporation_volume.csv</strong><br> The first column is Hylak_id.<br> The rest 408 columns contain monthly evaporation volume (thousand cubic meter per month) from Jan 1985 to Dec 2018.</p> <p>--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------</p> <p><strong>To use this dataset, citation of the following paper is recommended:</strong><br> Zhao, G., Li, Y., Zhou, L., Gao, H. (2022) Evaporative water loss of 1.42 million global lakes. <em>Nature Communications</em>. <a href="https://doi.org/10.1038/s41467-022-31125-6">https://doi.org/10.1038/s41467-022-31125-6</a></p> <p>The detailed algorithms associated with the development of GLEV can be found in:<br> Zhao, G., and H. Gao (2019), Estimating reservoir evaporation losses for the United States: Fusing remote sensing and modeling approaches, <em>Remote Sensing of Environment</em>, 226, 109-124. <a href="https://doi.org/10.1016/j.rse.2019.03.015">https://doi.org/10.1016/j.rse.2019.03.015</a><br> Zhao, G., and H. Gao (2018), Automatic correction of contaminated images for assessment of reservoir surface area dynamics. <em>Geophysical Research Letters</em>, 45, 6092-6099. <a href="https://doi.org/10.1029/2018GL078343">https://doi.org/10.1029/2018GL078343</a></p>
Global input datasets for use in constraints on global seafloor biogenic methane production from deterministic and machine learning modeling
<p>This dataset includes 9 grids used as model input for manuscript "Constraints on global seafloor biogenic methane production from deterministic and machine learning modeling". Additionally, there are four grids (heat flow, total organic carbon, porosity, and crust age) for which variable uncertainty was given.</p> <p>Grids here are available in xyz (longitude in decimal degrees, latitude in decimal degrees, and variable) ascii file format. Each reference is below is the grids native reference. For more information on the creation of these grids please visit the main manuscript.</p> <p>Below are respective file names and variable name/units:</p> <p>Dataset 1: Elevation in Meters (+ indicates above sea level, - below sea level)</p> <p>Tozer, B., Sandwell, D. T., Smith, W. H. F., Olson, C., Beale, J. R., & Wessel, P. (2019). Global bathymetry and topography at 15 arc sec: SRTM15+. <em>Earth and Space Science</em>, 6. https://doi.org/10.1029/ 2019EA000658</p> <p>Dataset 2: Seawater Density in Kilograms per Cubic Meter</p> <p>Boyer, T. P., Antonov, J. I., Baranova, O. K., Garcia, H. E., Johnson, D. R., Mishonov, A. V., … Grodsky, A. (2013). World Ocean Database 2013. In S. Levitus, A. Mishonov (Ed.), Technical Ed.; <em>NOAA Atlas NESDIS</em> 72 (pp. 209).</p> <p>Dataset 3: Seawater Temperature in Degrees Celcius </p> <p>Boyer, T. P., Antonov, J. I., Baranova, O. K., Garcia, H. E., Johnson, D. R., Mishonov, A. V., … Grodsky, A. (2013). World Ocean Database 2013. In S. Levitus, A. Mishonov (Ed.), Technical Ed.; <em>NOAA Atlas NESDIS</em> 72 (pp. 209).</p> <p>Dataset 4: Seawater Salinity in Percent Salinity Units</p> <p>Boyer, T. P., Antonov, J. I., Baranova, O. K., Garcia, H. E., Johnson, D. R., Mishonov, A. V., … Grodsky, A. (2013). World Ocean Database 2013. In S. Levitus, A. Mishonov (Ed.), Technical Ed.; <em>NOAA Atlas NESDIS</em> 72 (pp. 209).</p> <p>Dataset 5: Heat Flow in Milliwatts per Square Meter</p> <p>Global Heat Flow Compilation Group (2013). Component parts of the World Heat Flow Data Collection. <em>PANGAEA</em>, https://doi.org/10.1594/PANGAEA.810104</p> <p>Hornbach, M. J., Harris, R. N. & Phrampus, B. J. (2020). Heat flow on the U.S. Beaufort Margin, Arctic Ocean: Implications for ocean warming, methane hydrate stability, and regional tectonics. <em>Geochemistry, Geophysics, Geosystems</em>, 21(5). e2020GC008933. https://doi.org/10.1029/2020GC008933</p> <p>Dataset 6: Sediment Thickness in Meters</p> <p>Straume, E. O., Gaina, C., Medvedev, S., Hochmuth, K., Gohl, K., Whittaker, J. M., … Hopper, J. R. (2019). GlobSed: updated total sediment thickness in the world’s oceans. <em>Geochemistry, Geophysics, Geosystems</em>, 20(4), 1756–1772.</p> <p>Dataset 7: Seafloor Porosity in Fraction</p> <p>Martin, K. M., Wood, W. T., & Becker, J. J. (2015). A global prediction of seafloor sediment porosity using machine learning. <em>Geophysical Research Letters</em>, 42(24), 2015GL065279. https://doi.org/10.1002/2015GL065279</p> <p>Dataset 8: Seafloor Total Organic Carbon in Percent Dry Weight</p> <p>Lee, T.R., Wood, W.T., & Phrampus, B.J. (2019). A machine learning (kNN) approach to predicting global seafloor total organic carbon. <em>Global Biogeochemical Cycles</em>. 33, 37–46, doi:10.1029/2018GB005992.</p> <p>Dataset 9: Crust Age in Million Years</p> <p>Müller, R. D., Sdrolias, M., Gaina, C., & Roest, W. R. (2008). Age, spreading rates, and spreading asymmetry of the world’s ocean crust. <em>Geochemistry, Geophysics, Geosystems</em>, 9, Q04006. https://doi.org/10.1029/2007GC001743</p> <p>Dataset 10: Seafloor Porosity Uncertainty in Fraction</p> <p>Dataset 11: Seafloor Total Organic Carbon Uncertainty in Percent Dry Weight</p> <p>Lee, T.R., Wood, W.T., & Phrampus, B.J. (2019). A machine learning (kNN) approach to predicting global seafloor total organic carbon. <em>Global Biogeochemical Cycles</em>. 33, 37–46, doi:10.1029/2018GB005992.</p> <p>Dataset 12: Heat Flow Uncertainty in Milliwatts per Square Meter</p> <p>Dataset 13: Crust Age Uncertainty in Million Years</p> <p>Müller, R. D., Sdrolias, M., Gaina, C., & Roest, W. R. (2008). Age, spreading rates, and spreading asymmetry of the world’s ocean crust. <em>Geochemistry, Geophysics, Geosystems</em>, 9, Q04006. https://doi.org/10.1029/2007GC001743</p>
High resolution global mass coral bleaching dataset Version 2.0
<p>This two-part database is version 2.0 of the global mass coral bleaching database presented in <a href="https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0175490">Donner et al. (2017)</a>. The updated database is documented in <a href="https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0281719">Virgen-Urcelay and Donner (2023)</a>.</p><p>The first part is a spreadsheet listing raw bleaching observations from 1963 to 2017, developed through outreach to the coral reef research and monitoring community and from observations available in the literature. The spreadsheet in .xlsx format lists each individual bleaching observation and a database legend (see "README").</p><p>The second part is the annual probability of bleaching occurrence in a given year between 1985 and 2017 at 0.05° X 0.05° latitude-longitude resolution for all warmwater reef cells, developed via spatial modelling. Probabilities were not estimated for years in which there were no reports or the modeled semi-variograms failed to converge due to the low number of bleaching observations that year. The annual gridded maps are provided in .geotiff format within the zip file.</p><p>Please consult the manuscript and the authors before employing this data.</p>
Dataset for Cloud Identification in Mars Daily Global Maps with Deep Learning
<p><strong>Overview:</strong></p> <p>This repository stores cloud masks and MDGMS for Martian Years (MYs) 28-33. MDGMs were obtained from Harvard Dataverse (<a href="https://doi.org/10.7910/DVN/U3766S">https://doi.org/10.7910/DVN/U3766S</a>), and cloud masks were created using the cloudmask model (<a href="https://github.com/03kalven/cloudmask">https://github.com/03kalven/cloudmask</a>). The cloud masks contained in the binary folders have already been binarized using the threshold of 0.912. This dataset is considerably smaller in size than the floating-point cloud mask dataset and is suited for researchers that prefer to use the default threshold of 0.912.</p> <p> </p> <p><strong>Quick breakdown of the files and folders:</strong></p> <ul> <li>phase folders contain the complete set of MDGMs and cloud masks for Mars Reconnaisance Orbiter mission phases P, B, G, D, F, and J (MYs 28-33)</li> <li>phase_binary folders contain the complete set of binary MDGMs and cloud masks for Mars Reconnaisance Orbiter mission phases P, B, G, D, F, and J (MYs 28-33)</li> <li>view_masks.ipynb has a few handy methods to plot cloud masks and MDGMs</li> </ul> <p> </p> <p><strong>Phase folders:</strong></p> <p>Each folder is organized based on phase (P, B, G, D, F, J) and subphase (_01 to _23). In each subphase, there are cloudmasks and mdgms folders, as well as a .txt file with MY and solar longitude (Ls) data for each day.</p> <p> </p> <p><strong>MDGM and cloud mask formats:</strong></p> <ul> <li>mdgm: JPEG, 3600x1801</li> <li>cloudmask: (NETCDF4_CLASSIC data model, file format HDF5): <ul> <li>dimensions(sizes): x(3600), y(1801)</li> <li>variables(dimensions): float32 longitude(x), float32 latitude(y), float32/int16 cloudmask(y, x)</li> </ul> </li> </ul> <p>The cloud masks' values for any pixel are -999 for NaN and a float from 0 to 1 reporting the model's confidence in that pixel being a cloud. The cloud masks can be binarized using get_cloudmask() included in view_masks.ipynb. A binarized mask would report -999 for NaN, 0 for no cloud, and 1 for cloud. The default threshold is 0.912, but this value can be adjusted if desired. The cloud masks' (0,0) coordinate is the lower left corner of the map, so it may be needed to flip the cloudmask vertically before plotting on a Martian map. The cloud mask NetCDF files are constructed the same way as Wang and González Abad's (<a href="https://doi.org/10.7910/DVN/WU6VZ8">https://doi.org/10.7910/DVN/WU6VZ8</a>).</p>
Datasets supporting the original submission of Harris et al., "A Global Survey of Rotating Convective Updrafts in the GFDL X-SHiELD 2021 Global Storm Resolving Model"
<p>Datafiles used in the analyses described by Harris et al, "A Global Survey of Rotating Convective Updrafts in the GFDL X-SHiELD 2021 Global Storm Resolving Model", to be submitted to the Journal of Geophysical Research.</p> <p>Model output was created by X-SHiELD 2021 <a href="http://doi.org/10.5281/zenodo.6941034">https://doi.org/10.5281/zenodo.6941034</a> described in the paper:</p> <p>Harris, L., Zhou, L., Lin, S.-J., Chen, J.-H., Chen, X., Gao, K., et al. (2020). GFDL SHiELD: A unified system for weather-to-seasonal prediction. <em>Journal of Advances in Modeling Earth Systems</em>, 12, e2020MS002223.<a href="https://doi.org/10.1029/2020MS002223"> https://doi.org/10.1029/2020MS002223</a></p> <p>GPM data used for Figure 6b is derived from</p> <p>Huffman, G.J., E.F. Stocker, D.T. Bolvin, E.J. Nelkin, Jackson Tan (2019), GPM IMERG Final Precipitation L3 Half Hourly 0.1 degree x 0.1 degree V06, Greenbelt, MD, Goddard Earth Sciences Data and Information Services Center (GES DISC), Accessed: 4 August 2021,<a href="https://doi.org/10.5067/GPM/IMERG/3B-HH/06"> 10.5067/GPM/IMERG/3B-HH/06</a></p> <p> </p>
SEN12 Global Urban Mapping Dataset
<p>The SEN12 Global Urban Mapping (SEN12_GUM) dataset consists of Sentinel-1 SAR (VV + VH band) and Sentinel-2 MSI (10 spectral bands) satellite images acquired over the same area for 96 training and validation sites and an additional 60 test sites covering unique geographies across the globe. The satellite imagery was acquired as part of the European Space Agency's Earth observation program Copernicus and was preprocessed in Google Earth Engine. Built-up area labels for the 30 training and validation sites located in the United States, Canada, and Australia were obtained from Microsoft's open-access building footprints. The other 66 training sites located outside of the United States, Canada, and Australia are unlabeled but can be used for semi-supervised learning. Labels obtained from the SpaceNet7 dataset are provided for all 60 test sites. </p>
GLOBMAP SWF: a global annual surface water cover frequency dataset since 2000 for change analysis of inland water bodies
<p>The extent of surface water has been changing significantly due to climatic change and human activities. However, it is challenging to capture the interannual changes and trends of inland water bodies due to their high seasonal variation and abrupt change. We generated a global annual surface water cover frequency dataset (GLOBMAP SWF) from the MODIS land surface reflectance products to describe the seasonal and interannual dynamics of surface water. Surface water cover frequency (SWF) was proposed as the percentage of the time period when a pixel is covered by water in a year. Instead of determination of the water observations directly, the SWF was estimated indirectly by identifying land observations among annual clear-sky observations to reduce the influence of clouds and variability of water body and surface background characteristics, which helps to improve the applicability of the algorithm for different regions across the globe. Regional analysis demonstrates that our estimation results show reasonable performances on frozen water, saline lake, bright surface and cloud-frequent regions. This dataset can be used to analyze the interannual variation and change trend of highly dynamic inland water body extent with consideration of its seasonal variation.</p> <p>The GLOBMAP SWF dataset is provided in Version 1.0 (https://zenodo.org/record/6462883#.YxC16HZBw2w). Here we provide the number of MOD09A1 (MODIS 8-day composite land surface reflectance) clear-sky snow/ice-free observations (<em>N<sub>Clear</sub></em>) data as a quality dataset of GLOBMAP SWF product. The clear-sky observation refers to the valid MOD09A1 observation that not covered with clouds and snow/ice. The more available clear-sky observations, the more reliable the estimated SWF.</p> <p>The <em>N<sub>Clear </sub></em>dataset is provided by 296 1200 km × 1200 km tiles at annual temporal and 500 m spatial resolutions in the sinusoidal projection with Geotiff format for each year during 2000-2020. The file is named as "GLOBMAPClearCount. AYYYY001.hHHvVV.V01.tif", where “YYYY” refers to the year of the file, and “HH” and “VV” explains the number of tiles that are the same with MODIS standard tile. The valid range is 0-46, scale factor is 1.0. The <em>N<sub>Clear </sub></em>of permanent water (land obervation count of 46), permanent snow/ice and terrain shadows are set to 50.</p>
Global sea surface dimethyl sulfide dataset simulated by artificial neural network
<p>This dataset contains (1) the matched and binned data used for constructing an artificial neural network (ANN) model to simulate the sea surface concentration of dimethyl sulfide (DMS); (2) the simulated global daily sea surface concentrations of DMS ranging from 2005 to 2014 by ANN model and the calculated total transfer velocities (Kt) and sea-to-air fluxes; (3) the simulated global monthly sea surface concentrations of DMS ranging from 2005 to 2100 by ANN model and CMIP6 ensemble and the calculated Kt and sea-to-air fluxes; (4) the yearly mean DMS concentration of each grid in different sensitivity experiments exploring the roles different variables play in driving DMS future changes. The input variables of this ANN model include chlorophyll <em>a</em>, sea surface temperature (SST), mixed layer depth (MLD), nitrate, phosphate, silicate, dissolved oxygen (DO), downward short-wave radiation (DSWF), and sea surface salinity (SSS). The future projections (2015-2100) are subjected into two Shared Socioeconomic Pathway scenarios SSP2-4.5 and SSP5-8.5. The spatial resolution of the simulated dataset is 1°×1°. The units of DMS concentration, Kt, and flux are nmol L<sup>–1</sup>, m s<sup>–1</sup>, and μmol S m<sup>–2</sup> d <sup>–1</sup>, respectively.</p> <p>Compared with the previous version (v1.0), this version is based on an updated ANN model after adjusting the data match-up between satellite and in-situ chlorophyll <em>a</em> for ANN training. In addition, the historical simulation based on CMIP6 only covers the time period from 2005 to 2014, which was from 1850 to 2014 for v1.0.</p>
Datasets-A globally robust relationship between water table decline, subsidence rate and carbon release from peatlands
<p>Supplementary Data A shows meta-data for in-situ and laboratory measurements of soil respiration or its components soil heterotrophic respiration and autotrophic respiration, as well as associated environmental variables from global pristine peatlands and water table decline peatlands, respectively.</p> <p> </p> <p>Supplementary Data B shows the relationships between peatland subsidence rates and drainage years for different land uses in different climate zones, relationships between proportion of peatland subsidence rates due to oxidation and drainage years for different land uses in different climate zones, the estimated peat subsidence rates and peat subsidence rates due to oxidation, the synthesized soil organic carbon content and soil bulk density at the layer of 0-30 cm from pristine peatlands, and the in-situ measured annual soil heterotrophic respiration rates for validating the robustness of the developed emipirical models of this study. </p>
Dataset: Global range dynamics of the Bearded Vulture (Gypaetus barbatus) from the Last Glacial Maxima to climate change scenarios
<p>This dataset consists of Bearded Vulture <em>Gypaetus barbatus </em>occurrence points which were used to develop a distribution model to study its suitable habitat of this species. Using these data, we modelled the current distribution of Bearded Vulture throughout its entire range and projected the Last Glacial Maxima (LGM), Mid-Holocene (MH) and future distribution under 2070s climate change scenarios. We compiled these data from the entire distribution range in Asia, Europe and Africa using different sources: freely accessible online resources including, eBird and GBIF repositories, published reports and grey literature and occurrence data collected by the authors in the field, mostly in Nepal.</p> <p> </p> <p> </p>
Dataset for paper "Solutions to global agricultural green water scarcity under climate change"
<p>These are datasets used to generate figures of paper "Solutions to global agricultural green water scarcity under climate change".</p> <p>(1) fig1_GWS_Baseline, fig1_GWS_1.5C and fig1_GWS_1.5C are NetCDF files reporting agricultural green water scarcity (GWS) under Baseline climate conditions (1996-2005 period), 1.5°C and 3°C warmer climates, respectively. </p> <p>(2) fig2_num_of_month_Baseline, fig2_num_of_month_1.5C and fig2_num_of_month_3C are NetCDF files reporting the number of months that each grid cell faces GWS (with threshold 0.2) under Baseline climate conditions (1996-2005 period), 1.5°C and 3°C warming climates, respectively. fig2_data_Baseline, fig2_data_1.5C and fig2_data_3C are csv files reporting the countries with the highest exposure to GWS and number of months under Baseline, 1.5 °C and 3 °C warmer climates, respectively. </p> <p>(3) fig3_data_01, fig3_data_02 and fig3_data_03 are csv files reporting the area of rain-fed croplands facing agricultural GWS in each month under GWS thresholds 0.1, 0.2 and 0.3, respectively. </p> <p>(4) fig4_data is the csv file reporting the number of people impacted by crop production loss induced by GWS under Baseline, 1.5 °C and 3 °C warmer climates with GWS thresholds of 0.1, 0.2 and 0.3.</p> <p>(5) fig5_Baseline, fig5_1.5C and fig5_3C are csv files reporting the reduction of area facing GWS and increased people fed due to green water management solutions with different evapotranspiration reduction and infiltration increase levels, under Baseline, 1.5 °C and 3 °C warmer climates, respectively.</p> <p>(6) fig6_data_area and fig6_data_population are csv files reporting reduced rain-fed croplands facing GWS and additional people fed from decreased GWS, respectively, with evapotranspiration reduction and infiltration increase levels as 0.2.</p> <p>(7) irrigation_fraction is the NetCDF file reporting the percent of irrigated cropland in each grid cell. We use it as a mask to exclude croplands with larger than 5% irrigation. It is calculated based on "Mehta, P. <em>et al.</em> Majority of 21st century global irrigation expansion has been in water stressed regions. (2022)."</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.