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CETAF-DiSSCo/COVID19-TAF biodiversity-related knowledge hub working group: indexed biotic interactions and review summary
<p>This data publication originated as part of developing a biodiversity-related knowledge hub on COVID-19 via COVID19-TAF - Communities Taking Action (https://cetaf.org/covid19-taf-communities-taking-action), a community-rooted initiative raised jointly by the Consortium of European Taxonomic Facilitaties (CETAF, https://cetaf.org) and Distributed Systems of Scientific Collections (DiSSCo, https://www.dissco.eu/).</p> <p>This archive contains the biodiversity datasets of interest identified in period 14 April-6 October 2020 through COVID19-TAF activities and subsequently indexed by Global Biotic Interactions (GloBI, https://globalbioticinteractions.org). GloBI provides open access to finding species interaction data (e.g., predator-prey, pollinator-plant, virus-host, parasite-host) by combining existing open datasets using open source software.</p> <p>These identified datasets (see references and reviews below) add to a growing collection of open species interaction datasets already indexed by GloBI. So, this data publication only includes a small subset of indexed datasets and include only datasets that were added as a direct consequence of COVID19-TAF activities of the biodiversity-related knowledge hub working group.</p> <p>If you have questions or comments about this publication, please open an issue at https://github.com/ParasiteTracker/tpt-reporting or contact the authors by email.</p> <p>Funding:<br> The creation of this archive was made possible in part by reporting software developed as part of the National Science Foundation award "Collaborative Research: Digitization TCN: Digitizing collections to trace parasite-host associations and predict the spread of vector-borne disease," Award numbers DBI:1901932 and DBI:1901926 . Also, this material is based upon work supported by the National Science Foundation under Grant No. DGE-1545433 .</p> <p>References:<br> Jorrit H. Poelen, James D. Simons and Chris J. Mungall. (2014). Global Biotic Interactions: An open infrastructure to share and analyze species-interaction datasets. Ecological Informatics. https://doi.org/10.1016/j.ecoinf.2014.08.005.</p> <p>GloBI Data Review Report</p> <p>Datasets under review:<br> - Geiselman, Cullen K. & Sarah Younger. 2020. Bat Eco-Interactions Database. www.batbase.org accessed via https://github.com/globalbioticinteractions/batbase/archive/9c65cfeee1a054f9db8cd8bf6892017fd1b3c840.zip on 2020-10-04T22:53:45.576Z<br> - Geiselman, Cullen K. and Tuli I. Defex. 2015. Bat Eco-Interactions Database. www.batplant.org accessed via https://github.com/globalbioticinteractions/batplant/archive/a2e1b57052244d5251d17e96ea61f58bea88975e.zip on 2020-10-04T22:54:28.727Z<br> - 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 accessed via https://github.com/globalbioticinteractions/becker2020/archive/47c6ad28e1c5058f3c13ca69a59fdf21229e8d7f.zip on 2020-10-04T22:54:46.723Z<br> - 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 accessed via https://github.com/globalbioticinteractions/dbatvir/archive/a906d76e362484d3ca1edbe9683f672838ab70b0.zip on 2020-10-04T22:56:13.913Z<br> - 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. accessed via https://github.com/globalbioticinteractions/drodvir/archive/0346c0e8d4d66c6400e9965bd6a6aeed24cd7586.zip on 2020-10-04T23:06:04.368Z<br> - 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 . accessed via https://github.com/globalbioticinteractions/linnaeus1758/archive/a818060080fa04a88dac6df1ae5b897304ae8877.zip on 2020-10-05T00:46:04.852Z<br> - 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 accessed via https://github.com/globalbioticinteractions/mollentze2019/archive/ad12dc74d03c3d992618f16c37cafb7f7ffd9d01.zip on 2020-10-05T00:50:55.878Z<br> - 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 . accessed via https://github.com/globalbioticinteractions/ncbi-virus/archive/531a8d743d7adcf1153a19087e5d3c5b76750e3e.zip on 2020-10-05T00:53:53.646Z<br> - 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 accessed via https://github.com/globalbioticinteractions/olival2017/archive/f61070a5339d0e6c6e76d7eb4e2102decb52317d.zip on 2020-10-05T00:56:43.356Z<br> - Pensoft Darwin Core Archives with associateTaxa columns accessed via https://github.com/globalbioticinteractions/pensoft-dwca/archive/ee8831a2a391203f4fa8c05a0ddd927202b234bf.zip on 2020-10-05T00:56:51.868Z<br> - Pensoft Darwin Core Archives available via Integrated Publication Toolkit accessed via https://github.com/globalbioticinteractions/pensoft-ipt/archive/4ad4b47978324681289e36f8c2b247b1bcc97b1a.zip on 2020-10-05T00:58:01.912Z<br> - 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 accessed via https://github.com/globalbioticinteractions/pensoft-table/archive/3488e0397ca4e083d5eca6949951e426a75713e3.zip on 2020-10-05T00:58:03.647Z<br> - Marcus Guidoti, Tatiana Ruschel, Donat Agosti. 2020. Corona virus related biotic associations manually extracted from literature. Plazi. accessed via https://github.com/globalbioticinteractions/plazi-covid19/archive/326578b0d9f974760dcd2e962d86636a6487a6c0.zip on 2020-10-05T00:58:08.025Z<br> - 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 accessed via https://github.com/globalbioticinteractions/shaw2020/archive/bb9ab857b7fdbb4e931752d01b43d37b3ada77cf.zip on 2020-10-05T01:05:23.554Z<br> - OpenBiodiv. 2020. Annotated biotic interaction tables from Pensoft publications. accessed via https://github.com/pensoft/pensoft-interaction-tables/archive/bb7d1dc9f2eba220a61502e06e6114053fd30788.zip on 2020-10-05T03:03:23.372Z<br> - Quentin J. Groom. 2020. Bat interation data manually extracted from literature. accessed via https://github.com/qgroom/batinterations/archive/70108945f9014aa0ac1db920191867f7e151c793.zip on 2020-10-05T03:04:11.533Z</p> <p>Generated on:<br> 2020-10-06</p> <p>by:<br> GloBI's Elton 0.10.2<br> (see https://github.com/globalbioticinteractions/elton).</p> <p> </p> <p>Note that all files ending with .tsv are files formatted<br> as UTF8 encoded tab-separated values files.</p> <p>https://www.iana.org/assignments/media-types/text/tab-separated-values</p> <p><br> Included in this review archive are:</p> <p>README:<br> This file.</p> <p>review_summary.tsv:<br> Summary across all reviewed collections of total number of distinct review comments.</p> <p>review_summary_by_collection.tsv:<br> Summary by reviewed collection of total number of distinct review comments.</p> <p>indexed_interactions_by_collection.tsv:<br> Summary of number of indexed interaction records by institutionCode and collectionCode.</p> <p>review_comments.tsv.gz:<br> All review comments by collection.</p> <p>indexed_interactions_full.tsv.gz:<br> All indexed interactions for all reviewed collections.</p> <p>indexed_interactions_simple.tsv.gz:<br> All indexed interactions for all reviewed collections selecting only sourceInstitutionCode, sourceCollectionCode, sourceCatalogNumber, sourceTaxonName, interactionTypeName and targetTaxonName.</p> <p>datasets_under_review.tsv:<br> Details on the datasets under review.</p> <p>elton.jar:<br> Program used to update datasets and generate the review reports and associated indexed interactions.</p> <p><br> datasets.zip:<br> source datasets collected by elton in process of executing the generate_report.sh script.</p> <p>generate_report.sh:<br> program used to generate the report</p> <p>generate_report.log:<br> log file generated as part of running the generate_report.sh script</p>
Supplementary material to: Long-term (bio)deterioration of Fe-containing and Fe-depleted sandstones: An experimental insight into biotic and abiotic interactions.
<p>This dataset includes: micorphotographs, scanning electron microscope images and related EDS spectra, thermal analysis (DSC-TG), grain size distribution. Abbreviations used in the supplementary file names refer to: GMB (growth medium inoculated with the bacteria, Pseudomonas fluorescens), GM (sterile growth medium), ARE (artificial root exudates), H2O (water), NR (Sample Nowa Ruda), Z (Sample Żerkowice ŻR).</p>
Bee Interaction Data from Global Biotic Interactions
<p>New versions of this dataset are found at: <a href="https://doi.org/10.5281/zenodo.16689326">https://doi.org/10.5281/zenodo.16689326</a></p> <p> </p> <p>This repository includes the following:</p> <ol> <li><strong>interactions-GloBI-September-14-2021.tsv.gz</strong>: a full version of the Global Biotic Interactions downloaded on September 14, 2021. No data transformations have occurred on this dataset after the download</li> <li><strong>globi_bee_data.sh</strong>: Shell script for extracting bee records using bee family names from the full version of Global Biotic Interactions</li> <li><strong>all_bee_data_unique.txt</strong>: a file that includes only bee interactions, based on extracting bee names from interactions-GloBI-September-14-2021.tsv.gz</li> </ol> <p>Global Biotic Interactions (GloBI - https://globalbioticinteractions.org) aims to simplify access to existing records of species interactions, such as predator-prey, plant-pollinator, and virus-host interactions. To achieve this, GloBI follows a process where existing, versioned datasets on species interactions are transformed into various aggregate formats, including tsv, csv, neo4j, rdf/nquad, and darwin core-ish archives, with applied name maps included for explicit taxonomic linking.</p> <p>GloBI owes its success to researchers, collections, projects, and institutions that openly share their datasets. Whenever you use this data, please credit the original data contributors, including citing the specific datasets used in derivative work. Each species interaction record in GloBI is linked to a reference and dataset citation. If you have any suggestions on how to make it easier to cite original datasets, you are welcome to join a discussion on https://globalbioticinteractions.org or related projects.</p> <p><strong>Introduction to Global Bee Interaction Data</strong></p> <p>The dataset available here includes all bee interactions recorded in the <a href="https://www.globalbioticinteractions.org/">Global Biotic Interactions</a> (GloBI; Poelen et al. 2014) index as of September 21, 2021. These interactions are gathered quarterly by the <a href="http://big-bee.net/">Big Bee Project </a>(Seltmann et al. 2021) from various sources, including natural history collections, community science observations (such as iNaturalist), and scientific literature. The dataset covers a wide range of bee interactions, including flower visitation, parasitic interactions (such as mite and viral interactions), and lecty, among others. The dataset is filtered for unique records based on interaction description and source citation to ensure accuracy and consistency. For other versions of the bee interaction dataset, please refer to <a href="https://zenodo.org/record/7315159">Seltmann, 2022</a>.</p> <p><strong>Data Description</strong><br>Please see the <a href="https://www.globalbioticinteractions.org/process">integration process page</a> to better understand how Global Biotic Interactions combines datasets from various sources. The complete interaction dataset for all species can be accessed via <a href="https://www.globalbioticinteractions.org/data">https://www.globalbioticinteractions.org/data</a> and the <a href="https://doi.org/10.5281/zenodo.3950589">GloBI Community Zenodo publication</a>.</p> <p><strong>Dataset column names</strong> definitions <a href="https://api.globalbioticinteractions.org/interactionFields">https://api.globalbioticinteractions.org/interactionFields</a> or <a href="https://api.globalbioticinteractions.org/interactionFields">https://api.globalbioticinteractions.org/interactionFields</a></p> <p><strong>References</strong></p> <p>Jorrit H. Poelen, James D. Simons and Chris J. Mungall. (2014). Global Biotic Interactions: An open infrastructure to share and analyze species-interaction datasets. Ecological Informatics. <a href="https://doi.org/10.1016/j.ecoinf.2014.08.005">https://doi.org/10.1016/j.ecoinf.2014.08.005</a></p> <p>Katja C. Seltmann. (2022). Global Bee Interaction Data (v2.02) [Data set]. Zenodo. <a href="https://doi.org/10.5281/zenodo.7315159">https://doi.org/10.5281/zenodo.7315159</a></p> <p>Seltmann KC, Allen J, Brown BV, Carper A, Engel MS, Franz N, Gilbert E, Grinter C, Gonzalez VH, Horsley P, Lee S, Maier C, Miko I, Morris P, Oboyski P, Pierce NE, Poelen J, Scott VL, Smith M, Talamas EJ, Tsutsui ND, Tucker E (2021) Announcing Big-Bee: An initiative to promote understanding of bees through image and trait digitization. Biodiversity Information Science and Standards 5: e74037. <a href="https://doi.org/10.3897/biss.5.74037">https://doi.org/10.3897/biss.5.74037</a></p>
Big Bee indexed biotic interactions and review summary
<p><strong>Extending Anthophila research through image and trait digitization (Big-Bee) indexed biotic interactions and review summary.</strong></p> <p>Declining populations of bees impact plant-pollinator interactions in both natural and agricultural systems. While bees and other insects pollinate most wild plants and are critical to sustaining a large proportion of global food production, they are decreasing in both numbers and diversity. Our understanding of the factors driving these declines is limited because we lack sufficient data on the distribution of bee species, and on the behavioral and anatomical traits that may make them either vulnerable or resilient to human-induced environmental changes, such as habitat loss and climate change. Fortunately, wild bees have been collected by researchers and deposited in natural history collections for over 100 years, retaining a wealth of associated attributes that can be extracted from specimen images. This project will digitally capture data and images from these historic specimens, develop tools to measure bee traits from these images and generate a comprehensive bee trait and image dataset to measure changes through time. This will increase our understanding of specific traits that put bee species at risk of decline - a critical need for both sustaining our agricultural economy and the conservation of our natural resources. In addition, the large image datasets created by this project can be used for new artificial intelligence identification tools that will help improve our future pollinator observation and monitoring efforts.</p> <p>The Big-Bee project began in 2021 and is funded by the National Science Foundation to mobilize data about worldwide bee species to data aggregators (e.g., iDigBio, GBIF). The Big-Bee Thematic Collection Network (Big-Bee) will create over one million high-resolution 2D and 3D images of bee specimens, representing over 5,000 worldwide bee species, including all of the major pollinating species of the United States. The Big-Bee network includes 13 institutions and partnerships with US government agencies. Novel mechanisms for sharing image datasets will be developed and datasets of bee traits will be available through an open data portal, the Bee Library, for research and education. The Big-Bee project will engage the general public in research through community science via crowdsourcing trait measurements and data transcription from images. In addition, training and professional development for natural history collection staff, researchers, and university students in data science will be provided through the creation and implementation of workshops focusing on bee traits and species identification. All data resulting from this award will be shared with and publicly available through the national digitized biocollections resource, iDigBio.org.</p> <p>This is the first archive of Big-Bee data indexed by Global Biotic Interactions (GloBI). GloBI provides open access to finding species interaction data (e.g., predator-prey, pollinator-plant, pathogen-host, parasite-host) by combining existing open datasets using open-source software. This version of the Big Bee dataset includes interactions that are not just bees. Also in this version, the datasets included in this publication are specifically those institutions in the Big Bee project network and do not represent all bee interaction data found at Global Biotic Interactions.</p> <p><strong>Bee Library Information - Statistics about Big Bee data providers</strong></p> <p>The specimens indexed by GloBI are also found in the <a href="https://library.big-bee.net/portal/">Bee Library</a>. To date, the number of specimens and images in the library are listed below. The Bee Library taxonomic backbone is not yet complete, so information regarding the number of species is not yet available. Further summary statistics are available in the Big Bee Metrics from the Bee Library and GloBI - July 24, 2023.pdf file.</p> <p><strong>From Bee Library (partner indexed records)</strong><br> 1,234,107 occurrence records<br> 993,692 (81%) georeferenced<br> 351,592 (28%) occurrences imaged<br> 986,323 (80%) identified to species<br> 9 families<br> 526 genera<br> 10,700 species<br> 11,386 total taxa (including subsp. and var.)</p> <p><strong>Statistics Per Collection</strong></p> <table> <tbody> <tr> <td>Collection</td> <td>Occurrences</td> <td>Georeferenced</td> <td>Imaged</td> <td>Interactions Indexed in GloBI (all)</td> <td>Interactions Indexed in GloBI (bees)</td> </tr> <tr> <td>ASU Hasbrouck Insect Collection - Bee<br> Records</td> <td>13223</td> <td>13221</td> <td>2352</td> <td>21300</td> <td>3834</td> </tr> <tr> <td>Bee Biology and Systematics Laboratory,<br> USDA-ARS Pollinating Insect-Biology,<br> Management, Systematics Research</td> <td>561820</td> <td>547461</td> <td>0</td> <td>0</td> <td>0</td> </tr> <tr> <td>California Academy of Sciences</td> <td>884</td> <td>300</td> <td>3</td> <td>16984</td> <td>117</td> </tr> <tr> <td>California Academy of Sciences - Type<br> Collection</td> <td>1838</td> <td>59</td> <td>83</td> <td>0</td> <td>0</td> </tr> <tr> <td>Essig Museum of Entomology, University<br> of California Berkeley</td> <td>58551</td> <td>55028</td> <td>0</td> <td> </td> <td>0</td> </tr> <tr> <td>Florida State Collection of Arthropods</td> <td>17134</td> <td>12349</td> <td>7816</td> <td>559</td> <td> </td> </tr> <tr> <td>Museum of Comparative Zoology, Harvard<br> University</td> <td>22020</td> <td>21099</td> <td>11595</td> <td>6777</td> <td>1535</td> </tr> <tr> <td>Natural History Museum of Los Angeles<br> County</td> <td>24685</td> <td>7421</td> <td>3480</td> <td>0</td> <td>0</td> </tr> <tr> <td>San Diego Natural History Museum<br> Entomology Department</td> <td>4065</td> <td>1690</td> <td>1982</td> <td>8688</td> <td>90</td> </tr> <tr> <td>University of California Santa Barbara<br> Invertebrate Zoology Collection</td> <td>8674</td> <td>8410</td> <td>2751</td> <td>1940</td> <td>660</td> </tr> <tr> <td>University of Colorado Museum of Natural<br> History, Entomology Collection</td> <td>18043</td> <td>18043</td> <td>0</td> <td>9589</td> <td>4723</td> </tr> <tr> <td>University of Kansas Natural History<br> Museum Entomology Division</td> <td>464927</td> <td>275200</td> <td>304415</td> <td>119963</td> <td>112677</td> </tr> <tr> <td>University of Michigan Museum of Zoology<br> Division of Insects</td> <td>17764</td> <td>15305</td> <td>15269</td> <td>53755</td> <td>4134</td> </tr> <tr> <td>University of New Hampshire, Donald S.<br> Chandler Entomological Collection</td> <td>17685</td> <td>17393</td> <td>0</td> <td>3137</td> <td>3137</td> </tr> <tr> <td>USGS Native Bee Inventory and Monitoring<br> Lab</td> <td>101</td> <td>101</td> <td>0</td> <td>0</td> <td>0</td> </tr> </tbody> </table> <p><strong>GloBI Data Review Report - Datasets in Review from Global Biotic Interactions</strong></p> <p>Datasets under review:<br> - UUniversity of Michigan Museum of Zoology, Division of Insects accessed via https://github.com/globalbioticinteractions/ummz-ummzi/archive/d9282e51f29f3157af2e5869a09ea8a111ddea34.zip on 2023-07-24T22:06:08.671Z<br> - Arizona State University Hasbrouck Insect Collection accessed via https://github.com/globalbioticinteractions/asu-asuhic/archive/4ed77cb9ca8e526269d4678692e2844c950022f8.zip on 2023-07-24T22:07:09.630Z<br> - California Academy of Sciences Entomology and Entomology Type Collection accessed via https://github.com/globalbioticinteractions/cas-ent/archive/47d385b73a63aa379cd5e6d3615005ba78b0ffc1.zip on 2023-07-24T22:08:13.753Z<br> - University of California Berkeley, Essig Museum of Entomology accessed via https://github.com/globalbioticinteractions/emec/archive/93b17a3db566baa001ce9190e6fbdb60fa99dda4.zip on 2023-07-24T22:08:24.495Z<br> - Florida State Collection of Arthropods accessed via https://github.com/globalbioticinteractions/fsca/archive/2cdcf9475b7e0ef2a728a96535608bc0ce2ac5ca.zip on 2023-07-24T22:08:49.972Z<br> - University of Kansas Natural History Museum accessed via https://github.com/globalbioticinteractions/ku-semc/archive/a9c7cb81050eef68b4428667206a219da458f517.zip on 2023-07-24T22:09:17.016Z<br> - Natural History Museum of Los Angeles County accessed via https://github.com/globalbioticinteractions/lacm-lacmec/archive/dafbf532c53fbadba126c81186c26d52677aa781.zip on 2023-07-24T22:11:11.442Z<br> - Harvard University M, Morris P J (2021). Museum of Comparative Zoology, Harvard University. Museum of Comparative Zoology, Harvard University. accessed via https://github.com/globalbioticinteractions/mcz/archive/b33635a9fc75fd7931ad968cbc11180e6467bfd7.zip on 2023-07-24T22:21:32.961Z<br> - San Diego Natural History Museum accessed via https://github.com/globalbioticinteractions/sdnhm-sdmc/archive/7238d8b804f543250eb487b43144e1125fb3688a.zip on 2023-07-24T22:26:25.503Z<br> - University of Colorado Museum of Natural History Entomology Collection accessed via https://github.com/globalbioticinteractions/ucm-ucmc/archive/60530dcc82d33c9675a4026ad60dc40bea8f2a91.zip on 2023-07-24T22:26:50.178Z<br> - University of California Santa Barbara Invertebrate Zoology Collection accessed via https://github.com/globalbioticinteractions/ucsb-izc/archive/66a4e39589d1dfa299d07985546c4be522ff60d8.zip on 2023-07-24T22:27:13.801Z<br> - University of New Hampshire Donald S. Chandler Entomological Collection accessed via https://github.com/globalbioticinteractions/unhc-unhc/archive/d7668a6bb4545dc4da0645ecc383169ba547b0f5.zip on 2023-07-24T22:27:28.670Z</p> <p>Generated on:<br> 2023-07-24</p> <p>by:<br> GloBI's Elton 0.12.6 <br> (see https://github.com/globalbioticinteractions/elton).</p> <p>Note that all files ending with .tsv are files formatted <br> as UTF8 encoded tab-separated values files.</p> <p>https://www.iana.org/assignments/media-types/text/tab-separated-values</p> <p><br> Included in this review archive are:</p> <p>README:<br> This file.</p> <p>review_summary.tsv:<br> Summary across all reviewed collections of total number of distinct review comments.</p> <p>review_summary_by_collection.tsv:<br> Summary by reviewed collection of total number of distinct review comments.</p> <p>indexed_interactions_by_collection.tsv: <br> Summary of number of indexed interaction records by institutionCode and collectionCode.</p> <p>review_comments.tsv.gz:<br> All review comments by collection.</p> <p>indexed_interactions_full.tsv.gz:<br> All indexed interactions for all reviewed collections.</p> <p>indexed_interactions_simple.tsv.gz:<br> All indexed interactions for all reviewed collections selecting only sourceInstitutionCode, sourceCollectionCode, sourceCatalogNumber, sourceTaxonName, interactionTypeName and targetTaxonName.</p> <p>datasets_under_review.tsv:<br> Details on the datasets under review.</p> <p>elton.jar: <br> Program used to update datasets and generate the review reports and associated indexed interactions.</p> <p>indexed_interactions_bees.tsv:<br> All indexed bee interactions <br> </p> <p>datasets.zip:<br> All datasets reviewed for this publication</p> <p> Big Bee Metrics from the Bee Library and GloBI - July 24, 2023.pdf:<br> Summary statistics from the Bee Library and GloBI about data partners</p> <p>If you have questions or comments about this publication, please open an issue at https://github.com/Big-Bee-Network/issues-observations-and-questions/discussions or contact the authors by email.</p> <p><strong>Funding:</strong><br> The creation of this archive was made possible by the National Science Foundation award Collaborative Research: Digitization TCN: Extending Anthophila research through image and trait digitization (Big-Bee). Award numbers: <a href="https://www.nsf.gov/awardsearch/showAward?AWD_ID=2102006">DBI:2102006</a>, DBI:2101929, DBI:2101908, DBI:2101876, DBI:2101875, DBI:2101851, DBI:2101345, DBI:2101913, DBI:2101891 and DBI:2101850.</p> <p>References:<br> Poelen JH, Simons JD and Mungall CH. (2014). Global Biotic Interactions: An open infrastructure to share and analyze species-interaction datasets. Ecological Informatics. <a href="https://doi.org/10.1016/j.ecoinf.2014.08.005">https://doi.org/10.1016/j.ecoinf.2014.08.005</a>.</p> <p>Seltmann KC, Allen J, Brown BV, Carper A, Engel MS, Franz N, Gilbert E, Grinter C, Gonzalez VH, Horsley P, Lee S, Maier C, Miko I, Morris P, Oboyski P, Pierce NE, Poelen J, Scott VL, Smith M, Talamas EJ, Tsutsui ND, Tucker E (2021) Announcing Big-Bee: An initiative to promote understanding of bees through image and trait digitization. Biodiversity Information Science and Standards 5: e74037. <a href="https://doi.org/10.3897/biss.5.74037">https://doi.org/10.3897/biss.5.74037</a></p> <p>Jorrit Poelen, Tobias Kuhn, & Katrin Leinweber. (2022). globalbioticinteractions/elton: 0.12.5 (0.12.5). Zenodo. https://doi.org/10.5281/zenodo.7267926</p>
Global Biotic Interactions: Interpreted Data Products hash://md5/e76bf914309ad27dce6ab911d8854590 hash://sha256/ba79836caab5b7ba2d7d659123d27c89f4ad990bd50f97ded935edee9fbe9f87
<p>Global Biotic Interactions: Interpreted Data Products</p> <p>Global Biotic Interactions (GloBI, https://globalbioticinteractions.org, [1]) aims to facilitate access to existing species interaction records (e.g., predator-prey, plant-pollinator, virus-host). This data publication provides interpreted species interaction data products. These products are the result of a process in which versioned, existing species interaction datasets ([2]) are linked to the so-called GloBI Taxon Graph ([3]) and transformed into various aggregate formats (e.g., tsv, csv, neo4j, rdf/nquad, darwin core-ish archives). In addition, the applied name maps are included to make the applied taxonomic linking explicit. </p> <p>Citation<br>--------</p> <p>GloBI is made possible by researchers, collections, projects and institutions openly sharing their datasets. When using this data, please make sure to attribute these *original data contributors*, including citing the specific datasets in derivative work. Each species interaction record indexed by GloBI contains a reference and dataset citation. Also, a full lists of all references can be found in citations.csv/citations.tsv files in this publication. If you have ideas on how to make it easier to cite original datasets, please open/join a discussion via https://globalbioticinteractions.org or related projects.</p> <p>To credit GloBI for more easily finding interaction data, please use the following citation to reference GloBI:</p> <p>Jorrit H. Poelen, James D. Simons and Chris J. Mungall. (2014). Global Biotic Interactions: An open infrastructure to share and analyze species-interaction datasets. Ecological Informatics. https://doi.org/10.1016/j.ecoinf.2014.08.005.</p> <p>Bias and Errors<br>--------</p> <p>As with any analysis and processing workflow, care should be taken to understand the bias and error propagation of data sources and related data transformation processes. The datasets indexed by GloBI are biased geospatially, temporally and taxonomically ([5], [6]). Also, mapping of verbatim names from datasets to known name concept may contains errors due to synonym mismatches, outdated names lists, typos or conflicting name authorities. Finally, bugs may introduce bias and errors in the resulting integrated data product.</p> <p>To help better understand where bias and errors are introduced, only versioned data and code are used as an input: the datasets ([2]), name maps ([3]) and integration software ([6]) are versioned so that the integration processes can be reproduced if needed. This way, steps take to compile an integrated data record can be traced and the sources of bias and errors can be more easily found.</p> <p>This version was preceded by [7]. </p> <p>Contents<br>--------</p> <p>README:<br>this file</p> <p>citations.csv.gz:<br>contains data citations in a in a gzipped comma-separated values format.</p> <p>citations.tsv.gz:<br>contains data citations in a gzipped tab-separated values format.</p> <p>datasets.csv.gz:<br>contains list of indexed datasets in a gzipped comma-separated values format.</p> <p>datasets.tsv.gz:<br>contains list of indexed datasets in a gzipped tab-separated values format.</p> <p>verbatim-interactions.csv.gz<br>contains species interactions tabulated as pair-wise interaction in a gzipped comma-separated values format. Included taxonomic name are *not* interpreted, but included as documented in their sources.</p> <p>verbatim-interactions.tsv.gz<br>contains species interactions tabulated as pair-wise interaction in a gzipped tab-separated values format. Included taxonomic name are *not* interpreted, but included as documented in their sources. </p> <p>interactions.csv.gz:<br>contains species interactions tabulated as pair-wise interactions in a gzipped comma-separated values format. Included taxonomic names are interpreted using taxonomic alignment workflows and may be different than those provided by the original sources.</p> <p>interactions.tsv.gz:<br>contains species interactions tabulated as pair-wise interactions in a gzipped tab-separated values format. Included taxonomic names are interpreted using taxonomic alignment workflows and may be different than those provided by the original sources.</p> <p>refuted-interactions.csv.gz:<br>contains refuted species interactions tabulated as pair-wise interactions in a gzipped comma-separated values format. Included taxonomic names are interpreted using taxonomic alignment workflows and may be different than those provided by the original sources.</p> <p>refuted-interactions.tsv.gz:<br>contains refuted species interactions tabulated as pair-wise interactions in a gzipped tab-separated values format. Included taxonomic names are interpreted using taxonomic alignment workflows and may be different than those provided by the original sources.</p> <p>refuted-verbatim-interactions.csv.gz:<br>contains refuted species interactions tabulated as pair-wise interactions in a gzipped comma-separated values format. Included taxonomic name are *not* interpreted, but included as documented in their sources. </p> <p>refuted-verbatim-interactions.tsv.gz:<br>contains refuted species interactions tabulated as pair-wise interactions in a gzipped tab-separated values format. Included taxonomic name are *not* interpreted, but included as documented in their sources. </p> <p>interactions.nq.gz:<br>contains species interactions expressed in the resource description framework in a gzipped rdf/quads format.</p> <p>dwca-by-study.zip:<br>contains species interactions data as a Darwin Core Archive aggregated by study using a custom, occurrence level, association extension.</p> <p>dwca.zip:<br>contains species interactions data as a Darwin Core Archive using a custom, occurrence level, association extension.</p> <p>neo4j-graphdb.zip:<br>contains a neo4j v3.5.32 graph database snapshot containing a graph representation of the species interaction data.</p> <p>taxonCache.tsv.gz:<br>contains hierarchies and identifiers associated with names from naming schemes in a gzipped tab-separated values format.</p> <p>taxonMap.tsv.gz:<br>describes how names in existing datasets were mapped into existing naming schemes in a gzipped tab-separated values format.</p> <p>References<br>-----</p> <p>[1] Jorrit H. Poelen, James D. Simons and Chris J. Mungall. (2014). Global Biotic Interactions: An open infrastructure to share and analyze species-interaction datasets. Ecological Informatics. doi: 10.1016/j.ecoinf.2014.08.005.</p> <p>[2] Poelen, J. H. (2020) Global Biotic Interactions: Elton Dataset Cache. Zenodo. doi: 10.5281/ZENODO.3950557.</p> <p>[3] Poelen, J. H. (2021). Global Biotic Interactions: Taxon Graph (Version 0.3.28) [Data set]. Zenodo. http://doi.org/10.5281/zenodo.4451472</p> <p>[4] Hortal, J. et al. (2015) Seven Shortfalls that Beset Large-Scale Knowledge of Biodiversity. Annual Review of Ecology, Evolution, and Systematics, 46(1), pp.523–549. doi: 10.1146/annurev-ecolsys-112414-054400.</p> <p>[5] Cains, M. et al. (2017) Ivmooc 2017 - Gap Analysis Of Globi: Identifying Research And Data Sharing Opportunities For Species Interactions. Zenodo. Zenodo. doi: 10.5281/ZENODO.814978.</p> <p>[6] Poelen, J. et al. (2022) globalbioticinteractions/globalbioticinteractions v0.24.6. Zenodo. doi: 10.5281/ZENODO.7327955.</p> <p>[7] GloBI Community. (2024). Global Biotic Interactions: Interpreted Data Products hash://md5/946f7666667d60657dc89d9af8ffb909 hash://sha256/4e83d2daee05a4fa91819d58259ee58ffc5a29ec37aa7e84fd5ffbb2f92aa5b8 (0.7) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.11552565</p> <p>Content References<br>-----</p> <p>hash://sha256/5f4906439eba61f936b3dd7455a62c51656a74206f82d3f654e330fda6fbbe45 citations.csv.gz<br>hash://sha256/c8100368dae39363b241472695c1ae197aaddc6e3d6c0a14f3f5ee704b37f3f6 citations.tsv.gz<br>hash://sha256/e6f4aa897c5b325e444315e021b246ffed07fef764b0de6c0f1b2688bbdf9d0f datasets.csv.gz<br>hash://sha256/e6f4aa897c5b325e444315e021b246ffed07fef764b0de6c0f1b2688bbdf9d0f datasets.tsv.gz<br>hash://sha256/f11dc825609cdb1d4a3e9ba8caca9bf93c90dd6f660c7f6a0c8aa01c035a5e1f dwca-by-study.zip<br>hash://sha256/7f16aacacae74e8b0cdef04c612ba776f508ff7ffe385abc57583e37aec8fe53 dwca.zip<br>hash://sha256/b65e4c9a3615f1386bb97e45fb907d053df55476149aa6d71e6f398351218d0d interactions.csv.gz<br>hash://sha256/0c28032392f82d753690be126805e6334ca46bdc4b5e2102a79b15ce0cc0ba90 interactions.nq.gz<br>hash://sha256/8a7031250c288ba0da3d5cdbedc19d54c2f16ba3aa70d49826a7369b6edeca04 interactions.tsv.gz<br>hash://sha256/d0c0fbf536cc63c004d057efc14600ba8cc5874f401b08f51837273b7854f1bb neo4j-graphdb.zip<br>hash://sha256/50e77636f8b58c040e38b6a70ba7cc8288b190ef252dc0d4eb2f12f4c541e82f README<br>hash://sha256/a74e2a39cfe133ae9de1eeea94f5dda8cbd58cfe61a8ccf91b7c540757719c74 refuted-interactions.csv.gz<br>hash://sha256/37b06e274e41ca749399763989816854101238ade9863365f384a2764c639e9d refuted-interactions.tsv.gz<br>hash://sha256/23315b6cd3fdc91f9c1d5d5bc39fa52cf1cef7a4e97d9d023d452751df13f30e refuted-verbatim-interactions.csv.gz<br>hash://sha256/ff82e40cee4f8a8852d0c241f5027f66157a2b8a9090ffa3a0a329a206828d96 refuted-verbatim-interactions.tsv.gz<br>hash://sha256/f072fbc7affb6e29978c7540af6cdccd3a219a23b0a4765b5bae56bd20df0d88 taxonCache.tsv.gz<br>hash://sha256/cd28c81bb2432646a81ad216bc11818f7568ce81826e0074d9a33579da2c1426 taxonMap.tsv.gz<br>hash://sha256/a1d14aa47806c624cf7e3a8c8236643dcf19ed1835c79c65958f7317ebfb9566 verbatim-interactions.csv.gz<br>hash://sha256/2284434219d5fdab1e2152955f04363852c132b76709c330d33e31517817a82e verbatim-interactions.tsv.gz</p> <p>hash://md5/d6ebf42729d988e15cb30adfa6112234 citations.csv.gz<br>hash://md5/42877ae68e51871b8eb7116e62f6b268 citations.tsv.gz<br>hash://md5/3e437580296fdeff3b6f35d1331db9d1 datasets.csv.gz<br>hash://md5/3e437580296fdeff3b6f35d1331db9d1 datasets.tsv.gz<br>hash://md5/fe88720fd992771bd64bfa220ad6a7d3 dwca-by-study.zip<br>hash://md5/cbe132a9288feaef2f3e0c0409b8dc2f dwca.zip<br>hash://md5/051f6db667c4b84616223c2776464dbf interactions.csv.gz<br>hash://md5/b66857f8750e56ba9abe484b1f72eac4 interactions.nq.gz<br>hash://md5/300839c346184b2fedc4e1fb31bcc29c interactions.tsv.gz<br>hash://md5/e79cf5ffee919672f99ea338f3661566 neo4j-graphdb.zip<br>hash://md5/898678f47561d7ef53722bc32957dcd9 README<br>hash://md5/65a185f19df304e53f92a7275f2de291 refuted-interactions.csv.gz<br>hash://md5/bc37a4354f8a2402e9335ae44f28cbd7 refuted-interactions.tsv.gz<br>hash://md5/42e817c31e2ca05e582be94e6ec283c5 refuted-verbatim-interactions.csv.gz<br>hash://md5/93639b70a1d8e47fd194b6384c0287a7 refuted-verbatim-interactions.tsv.gz<br>hash://md5/e32482b3697aa928a5fcb58a570191df taxonCache.tsv.gz<br>hash://md5/75251510925875d3fdc1952cc4b98043 taxonMap.tsv.gz<br>hash://md5/6a0c6224f4a4c3dca9994d70ad0b2fd2 verbatim-interactions.csv.gz<br>hash://md5/905acb49a700e5b5a292be02c917e710 verbatim-interactions.tsv.gz</p>
Global Biotic Interactions: Taxon Graph hash://sha256/0b58753e4ff5519442689d866c0f1d19ffa7d97f917144df1d1cd56ea756921d hash://md5/b23bd0210c88ca10c3e3253091f4fdfa
<p>Global Biotic Interactions: Taxon Cache and Taxon Map</p> <p>Global Biotic Interactions (GloBI) provides access to existing species interaction datasets (Poelen et al. 2014, http://globalbioticinteractions.org). As part of the dataset integration and aggregation, a best effort is made to resolve, match and link taxonomic names and associated vernacular/common names, hierarchies and thumbnails. </p> <p>The data archives included in this publication contain established taxonomic links (taxonMap.tsv.gz) and taxonomic information (taxonCache.tsv.gz) that GloBI retrieved and integrated from taxonomic name sources and web services associated with http://itis.gov, http://globalnames.org, http://eol.org and others open data services. </p> <p>While GloBI is not a naming authority and the primary goal of the name matching process is to detect incorrect or outdates names, the archives may serve as an example of how to publish denormalized taxonomic records and their interrelatioships in a pragmatic way.</p> <p>For related discussion threads, see https://github.com/globalbioticinteractions/globalbioticinteractions/issues/145 , https://github.com/globalbioticinteractions/globalbioticinteractions/issues/274 , https://github.com/globalbioticinteractions/globalbioticinteractions/issues/70 , https://github.com/EOL/tramea/issues/10 and https://github.com/globalbioticinteractions/globalbioticinteractions/issues/274 .</p> <p>Files<br> <br> README <br> this file</p> <p> taxonCache.tsv.gz <br> Taxonomic name, ids, hierarchies, common names and thumbnail associated to taxa known to GloBI. <br> <br> taxonCache.tsv.sha256<br> sha256 hash of taxonCache.tsv</p> <p> taxonCacheFirst10.tsv<br> Header and 10 following lines from taxonCache.tsv</p> <p> taxonCacheFirst10.tsv.sha256<br> sha256 hash of taxonCacheFirst10.tsv<br> <br> taxonMap.tsv.gz <br> Links between taxon name and ids across various taxon providers. </p> <p> taxonMap.tsv.sha256 <br> sha256 hash of taxonMap.tsv</p> <p> taxonMapFirst10.tsv<br> Header and 10 following lines from taxonMap.tsv<br> <br> taxonMapFirst10.tsv.sha256<br> sha256 hash of taxonMapFirst10.tsv</p> <p> prefixes.tsv<br> Term prefixes and their associated uri schemes. </p> <p> names.tsv.gz<br> Corpus of names used to resolve and link. Generated using https://github.com/globalbioticinteractions/elton .</p> <p> names.tsv.sha256<br> sha256 hash of names.tsv</p> <p> namesUnresolved.tsv.gz<br> Names that are not (yet) linked to name sources using https://github.com/globalbioticinteractions/nomer .</p> <p> namesUnresolved.tsv.sha256<br> sha256 hash of namesUnresolved.tsv </p> <p>Column Descriptions</p> <p> taxonCache.tsv.gz </p> <p> 1 | id<br> 2 | name<br> 3 | rank<br> 4 | commonNames<br> 5 | path<br> 6 | pathIds <br> 7 | pathNames<br> 8 | externalUrl<br> 9 | thumbnailUrl<br> <br> taxonMap.tsv.gz</p> <p> 1 | providedTaxonId<br> 2 | providedTaxonName<br> 3 | resolvedTaxonId<br> 4 | resolvedTaxonName</p> <p> names.tsv.gz</p> <p> 1 | providedTaxonId<br> 2 | providedTaxonName</p> <p> namesUnresolved.tsv.gz</p> <p> 1 | providedTaxonId<br> 2 | providedTaxonName</p> <p>References</p> <p>Jorrit H. Poelen, James D. Simons and Chris J. Mungall. (2014). Global Biotic Interactions: An open infrastructure to share and analyze species-interaction datasets. Ecological Informatics. https://doi.org/10.1016/j.ecoinf.2014.08.005.</p> <p>Updates</p> <p>org.globalbioticinteractions.taxon v0.3, 2018-03-02</p> <p>This taxon archive version was created by taking GloBI taxon v0.2 (Jan 2018) and appending a semi-automatically created WikiData taxon mapping and taxon cache.</p> <p>org.globalbioticinteractions.taxon v0.3.1, 2018-04-05</p> <p>This taxon archive version was created by taking GloBI taxon v0.2 (Jan 2018) and appending an automatically created WikiData taxon mapping and taxon cache using Apache Spark scripts at https://github.com/bio-guoda/guoda-datasets/tree/master/wikidata .</p> <p>org.globalbioticinteractions.taxon v0.3.2, 2018-05-21</p> <p>This taxon archive version includes the following:</p> <p>1. all lines in taxonMap.tsv.gz v0.3.1 that passed all validate-term-link tests defined in nomer v0.0.7 (see https://doi.org/10.5281/zenodo.1249964 or https://github.com/globalbioticinteractions/nomer/releases/tag/0.0.7).</p> <p>2. all lines in taxonCache.tsv.gz. v0.3.1 that passed all validate-term tests defined in nomer v0.0.7 </p> <p>3. all lines in 1. that did *not* pass the validate-term test, were re-resolved using nomer v0.0.7 commands "append globi-enrich" and "append globi-globalnames". Only SAME_AS and SYNONYM_OF matches were used to generate new entries for taxonCache and taxonMap.</p> <p>4. in addition, elton v0.4.5 (see https://doi.org/10.5281/zenodo.1212599 or https://github.com/globalbioticinteractions/elton/releases/tag/0.4.5) was used to generate an up-to-date names list by running the "update" and "names" commands on 18-19 May 2018. Of the resulting names, only id/names pairs that were unknown to the taxon graph were resolved using the "append globi-enrich" and "append globi-globalnames" commands of nomer v0.0.7. Only matches classified as SAME_AS and SYNONYM_OF were used to generate new entries for taxonCache and taxonMap.</p> <p>5. the updated versions of taxonMap.tsv.gz and taxonCache.tsv.gz were produced by appending result of 1., 2., 3. and 4. , removing duplicate lines and sorting the result. </p> <p>6. finally, the resulting taxonMap.tsv.gz. and taxonCache.tsv.gz files were validated using the nomer v0.0.7 validate-term-link and validate-term commands, respectively. The result indicated that all lines (other than the header) passed the validation tests.</p> <p>org.globalbioticinteractions.taxon v0.3.3, 2018-06-12</p> <p>This taxon archive version includes the following:</p> <p>1. normalizing taxonomic ranks using nomer's taxon rank matcher</p> <p>2. include more manual taxonomic name mappings provided by Brian Hayden and collaborators.</p> <p>3. update taxonCache and taxonMap using automated scripts available at https://doi.org/10.5281/zenodo.1286023 . </p> <p>4. remove mapping to NCBI taxa with name "Small" (and associated OTT).</p> <p><br>org.globalbioticinteractions.taxon v0.3.4, 2018-06-27</p> <p>1. update taxonCache and taxonMap using automated scripts available at https://doi.org/10.5281/zenodo.1286023</p> <p>Please note that nomer and elton rely on web accessible apis like taxonomy resolution services and data portals. This dependence on external web-only accessible services might make reproduction of the results tricky due to network outages, server failures, upgrades, downgrades, data loss and/or abandonment of informatics projects/ datasets. </p> <p>org.globalbioticinteractions.taxon v0.3.5, 2018-06-28</p> <p>1. remove dubious provided name from taxon map. Names include "no name", "unidentified".<br>2. remove dubious mappings to Pavlova (e.g., Unidentified Amoebozoa -> Pavlova). Related to 1.<br>3. remove dubious mappings to resolve taxa that include names like "unidentified" or "organic species"<br>4. removed dubious mappings to "Boiga dendrophila"<br>5. removed dubious mappings from "Chaetognatha" (arrowworm) to a suspected homonym Lepidoptera GBIF:3257692 and IRMNG:1252651<br>6. removed dubious mappings from "small sharks" to multiple NCBI/OTT terms with name "Small"</p> <p>Please note that nomer and elton rely on web accessible apis like taxonomy resolution services and data portals. This dependence on external web-only accessible services might make reproduction of the results tricky due to network outages, server failures, upgrades, downgrades, data loss and/or abandonment of informatics projects/ datasets.</p> <p>org.globalbioticinteractions.taxon v0.3.6, 2018-09-10</p> <p>1. update taxonCache and taxonMap using automated scripts available at https://doi.org/10.5281/zenodo.1286023</p> <p>org.globalbioticinteractions.taxon v0.3.7, 2018-10-18</p> <p>1. update taxonCache and taxonMap using automated scripts available at https://doi.org/10.5281/zenodo.1286023<br>2. remove dubious mapping to Vertebrata (WORMS:370321 , http://www.marinespecies.org/aphia.php?p=taxdetails&id=370321). Also see https://github.com/globalbioticinteractions/globalbioticinteractions/issues/361 .<br>3. remove dubious mapping to NCBITaxon:1585532 (Beta vulgaris/Cercospora beticola mixed EST library). Also see https://github.com/globalbioticinteractions/globalbioticinteractions/issues/346 and https://github.com/Planteome/samara/issues/50 </p> <p>org.globalbioticinteractions.taxon v0.3.8, 2018-11-15</p> <p>1. update taxonCache and taxonMap using automated scripts available at https://doi.org/10.5281/zenodo.1286023</p> <p>org.globalbioticinteractions.taxon v0.3.9, 2018-11-23</p> <p>1. label deprecated EOL ids by applying patches in http://doi.org/10.5281/zenodo.1495266 to taxonMap.tsv.gz and taxonCache.tsv.gz . Related to https://github.com/globalbioticinteractions/globalbioticinteractions/issues/383 .<br>2. remove all Encyclopedia of Life thumbnail urls from taxonCache. Related to https://github.com/globalbioticinteractions/globalbioticinteractions/issues/381 .<br>3. remove Encyclopedia of Life external urls associated with deprecated ids from taxonCache. </p> <p><br>org.globalbioticinteractions.taxon v0.3.10, 2018-11-26</p> <p>1. Remove suspicious name mappings related to Humpback scorpionfish (Scorpaenopsis gibbosa) by applying patch published in Poelen, Jorrit H. (2018). Global Biotic Interactions: Taxon Graph Patches (Version 0.2. [Data set]. Zenodo. http://doi.org/10.5281/zenodo.1560662 </p> <p>org.globalbioticinteractions.taxon v0.3.11, 2018-12-21</p> <p>1. update taxonCache and taxonMap using automated scripts available at https://doi.org/10.5281/zenodo.1286023<br>2. remove suspicious name mappings using: ```zcat taxonMap.tsv.gz | grep -v -i -P "\tnone\t" | grep -v -P "(GBIF|IRMNG):.*\tBrachyura$" | grep -v -P "Gamarus" | grep -v -P "^EOL:1047365\ttrachurus trachurus" | grep -v -P "Loros\t.*Psittacidae" | grep -v -P "(GBIF|IRMNG).*Lucifer$" | grep -v -P "GBIF.*Diadema$" | gzip > taxonMapUpdated.tsv.gz```</p> <p>org.globalbioticinteractions.taxon v0.3.12, 2019-06-05</p> <p>1. update taxonCache and taxonMap using automated scripts available at https://doi.org/10.5281/zenodo.3240558</p> <p>org.globalbioticinteractions.taxon v0.3.13, 2019-06-12</p> <p>1. update taxonCache and taxonMap using automated scripts available at https://doi.org/10.5281/zenodo.3240558</p> <p>org.globalbioticinteractions.taxon v0.3.14, 2019-08-19</p> <p>1. revisit deprecated EOL ids by applying patches in http://doi.org/10.5281/zenodo.3371634 to taxonMap.tsv.gz and taxonCache.tsv.gz . Related to https://github.com/jhpoelen/eol-globi-data/issues/403 .</p> <p>org.globalbioticinteractions.taxon v0.3.15, 2019-08-26</p> <p>1. update taxonCache and taxonMap using automated scripts available at https://doi.org/10.5281/zenodo.3240558</p> <p>org.globalbioticinteractions.taxon v0.3.16, 2019-09-22</p> <p>1. revisit deprecated EOL ids by applying patches in http://doi.org/10.5281/zenodo.3457626 to taxonMap.tsv.gz and taxonCache.tsv.gz of http://doi.org/10.5281/zenodo.3378125. Related to https://github.com/globalbioticinteractions/globalbioticinteractions/issues/408 .</p> <p>org.globalbioticinteractions.taxon v0.3.17, 2019-09-27</p> <p>1. update taxonCache and taxonMap using automated scripts available at https://doi.org/10.5281/zenodo.3240558</p> <p>org.globalbioticinteractions.taxon v0.3.18, 2019-10-30</p> <p>1. update taxonCache and taxonMap using automated scripts available at https://doi.org/10.5281/zenodo.3240558</p> <p>org.globalbioticinteractions.taxon v0.3.19, 2019-11-07</p> <p>1. update taxonCache and taxonMap using automated scripts available at https://doi.org/10.5281/zenodo.3240558</p> <p>org.globalbioticinteractions.taxon v0.3.20, 2020-01-17</p> <p>1. update taxonCache and taxonMap using automated scripts available at https://doi.org/10.5281/zenodo.3240558</p> <p>org.globalbioticinteractions.taxon v0.3.21, 2020-03-11</p> <p>1. update taxonCache and taxonMap using automated scripts available at https://doi.org/10.5281/zenodo.3240558</p> <p>org.globalbioticinteractions.taxon v0.3.22, 2020-04-14</p> <p>1. update taxonCache and taxonMap using automated scripts available at https://doi.org/10.5281/zenodo.3240558</p> <p>org.globalbioticinteractions.taxon v0.3.23, 2020-05-22</p> <p>1. update taxonCache and taxonMap using automated scripts available at https://doi.org/10.5281/zenodo.3240558</p> <p>org.globalbioticinteractions.taxon v0.3.24, 2020-06-23</p> <p>1. update taxonCache and taxonMap using automated scripts available at https://doi.org/10.5281/zenodo.3240558</p> <p>org.globalbioticinteractions.taxon v0.3.25, 2020-08-19</p> <p>1. update taxonCache and taxonMap using automated scripts available at https://doi.org/10.5281/zenodo.3240558</p> <p>org.globalbioticinteraction.taxon v0.3.26, 2020-10-01</p> <p>1. adding links to Plazi treatment via nomer append plazi (see https://github.com/globalbioticinteractions/nomer/issues/23)<br>by applying patches available via https://doi.org/10.5281/zenodo.4062711 .</p> <p>org.globalbioticinteraction.taxon v0.3.27, 2020-10-22</p> <p>1. update taxonCache and taxonMap using automated scripts available at https://doi.org/10.5281/zenodo.3240558</p> <p>org.globalbioticinteraction.taxon v0.3.28, 2021-01-19</p> <p>1. update taxonCache and taxonMap using patch 20210114-01 available via Poelen, Jorrit H. (2021). Global Biotic Interactions: Taxon Graph Patches (Version 0.6) [Data set]. Zenodo. http://doi.org/10.5281/zenodo.4451462 .</p> <p>org.globalbioticinteractions.taxon v0.3.29, 2021-01-26</p> <p>1. update taxonCache and taxonMap using automated scripts available at https://doi.org/10.5281/zenodo.3240558</p> <p>org.globalbioticinteractions.taxon v0.3.30, 2021-03-10</p> <p>1. update taxonCache and taxonMap using automated scripts available at https://doi.org/10.5281/zenodo.3240558</p> <p>org.globalbioticinteractions.taxon v0.3.31, 2021-03-31</p> <p>1. update taxonCache and taxonMap using patch 20210331-01 available via Poelen, Jorrit H. (2021). Global Biotic Interactions: Taxon Graph Patches (Version 0.7) [Data set]. Zenodo. http://doi.org/10.5281/zenodo.4655153 .</p> <p>org.globalbioticinteractions.taxon v0.3.32, 2021-05-12</p> <p>1. update taxonCache and taxonMap using automated scripts available at https://doi.org/10.5281/zenodo.3240558<br>2. remove suspicious mappings from Fungal to some virus name described in https://www.gbif.org/species/4904189 Fungal see https://github.com/globalbioticinteractions/mangal/issues/1#issuecomment-833956239 .</p> <p>org.globalbioticinteractions.taxon v0.3.33, 2021-06-23</p> <p>1. remove suspicious viral name mappings as reported in https://github.com/globalbioticinteractions/globalbioticinteractions/issues/672 by updating taxonMap.tsv.gz using patch 20210623-01 available via Poelen, Jorrit H. (2021). Global Biotic Interactions: Taxon Graph Patches (Version 0.8) [Data set]. Zenodo. http://doi.org/10.5281/zenodo.5021824 .</p> <p>org.globalbioticinteractions.taxon v0.3.34, 2021-09-24</p> <p>1. update taxonCache and taxonMap using automated scripts available at https://doi.org/10.5281/zenodo.3240558</p> <p>org.globalbioticinteractions.taxon v0.3.35, 2021-11-19</p> <p>1. update taxonCache and taxonMap using automated scripts available at https://doi.org/10.5281/zenodo.3240558</p> <p>org.globalbioticinteractions.taxon v0.3.36, 2022-03-29</p> <p>1. update taxonCache and taxonMap using automated scripts available at https://doi.org/10.5281/zenodo.6394931</p> <p>org.globalbioticinteractions.taxon v0.4.0, 2023-03-21</p> <p>1. update elton, nomer, and globi taxon graph versions<br>2. attempt to align all names, including those aligned previously. Replaced incremental name alignment. Incremental name alignment was a optimization needed because of web api performance. Now, no web apis are used, so the optimization is no longer needed.<br>take names from https://globalbioticinteractions.org/data verbatim-interactions.tsv.gz instead of parsing verbatim names from their sources</p> <p>org.globalbioticinteractions.taxon v0.4.1, 2023-03-23</p> <p>update taxon graph build script to fit into existing taxonMap/taxonCache schema<br>fix various bugs<br>remove internal validation until a more up-to-date validation method is available</p> <p>org.globalbioticinteractions.taxon v0.4.2, 2022-10-14</p> <p>update taxonCache and taxonMap using automated scripts available at globalbioticinteractions. (2023). globalbioticinteractions/taxon-graph-builder: 0.0.7 (0.0.7). Zenodo. https://doi.org/10.5281/zenodo.10037579</p> <p>org.globalbioticinteractions.taxon v0.4.3, 2022-10-26</p> <p>apply patch 20231026-01 to address https://github.com/globalbioticinteractions/globalwebdb/issues/1 and https://discuss.eol.org/t/questionable-link-in-trophic-web-for-white-tailed-jackrabbit/2296</p> <p>org.globalbioticinteractions.taxon v0.4.4, 2022-10-26</p> <p>apply patch 20231026-02 to continue to work towards addressing https://github.com/globalbioticinteractions/globalwebdb/issues/1 and https://discuss.eol.org/t/questionable-link-in-trophic-web-for-white-tailed-jackrabbit/2296</p> <p>org.globalbioticinteractions.taxon v0.4.5, 2022-10-26</p> <p>apply patch 20231026-03 to continue to work towards addressing https://github.com/globalbioticinteractions/globalwebdb/issues/1 and https://discuss.eol.org/t/questionable-link-in-trophic-web-for-white-tailed-jackrabbit/2296</p> <p>org.globalbioticinteractions.taxon v0.4.6, 2024-06-17</p> <p>apply patch 20240617 to work towards addressing suspicious Candidatus name mapping reported in https://github.com/globalbioticinteractions/globalbioticinteractions/issues/968</p> <p>org.globalbioticinteractions.taxon v0.5.0, 2024-07-05</p> <p>1. update taxonCache and taxonMap using automated scripts available via Taxon Graph Builder v0.1.0 https://github.com/globalbioticinteractions/taxon-graph-builder/releases/tag/0.1.0 and/or https://doi.org/10.5281/zenodo.1286023 . </p> <p>org.globalbioticinteractions.taxon v0.5.1, 2024-07-08</p> <p>1. update taxonCache and taxonMap using automated scripts available via Taxon Graph Builder v0.1.1 https://github.com/globalbioticinteractions/taxon-graph-builder/releases/tag/0.1.1 and/or https://doi.org/10.5281/zenodo.12687693 . </p> <p>org.globalbioticinteractions.taxon v0.5.2, 2024-07-11</p> <p>1. update taxonCache and taxonMap using automated scripts available via Taxon Graph Builder v0.1.2 https://github.com/globalbioticinteractions/taxon-graph-builder/releases/tag/0.1.2 and/or https://doi.org/10.5281/zenodo.12687693 . </p> <p>org.globalbioticinteractions.taxon v0.5.3, 2024-07-24</p> <p>1. update taxonCache and taxonMap using automated scripts available via Taxon Graph Builder v0.1.2 https://github.com/globalbioticinteractions/taxon-graph-builder/releases/tag/0.1.2 and/or https://doi.org/10.5281/zenodo.12687693 . </p> <p><br>org.globalbioticinteractions.taxon v0.5.4, 2025-02-12</p> <p>1. update taxonCache and taxonMap using automated scripts available via Taxon Graph Builder v0.1.2 https://github.com/globalbioticinteractions/taxon-graph-builder/releases/tag/0.1.2 and/or https://doi.org/10.5281/zenodo.12687693 . </p>
Global Biotic Interactions: Elton Dataset Cache iNaturalist
<p>Global Biotic Interactions: Elton Dataset Cache iNaturalist</p><p>The intended use of this archive/cache is to allow for offline-enabled access to versions of existing species interaction datasets provided by iNaturalist. 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>To get offline-enabled access to versions of other species interactions datasets, please see Global Biotic Interactions: Elton Dataset Cache at https://doi.org/10.5281/zenodo.2007418 .</p><p> </p><p>Contents</p><p>--------</p><p> </p><p>README: the first part of this file</p><p>elton-datasets.tar.gz:versioned archive with species interaction datasets</p><p>elton-datasets.tar.sha256:content signature of elton-datasets.tar</p><p>elton-datasets.tsv:list of included datasets</p><p>elton.jar:commandline program to help access the species interaction datasets</p><p> </p><p>Usage</p><p>-----</p><p> </p><p>To install, extract elton-datasets.tar.gz into a directory of choice using:</p><p> </p><p>tar xfz elton-dataset.tar.gz</p><p> </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/inaturalist https://github.com/globalbioticinteractions/inaturalist/archive/db6545f3d7afd88f48064dddb9f4692603545a44.zip 2023-10-14T00:29:47.032Z application/globi</p><p>globalbioticinteractions/inaturalist https://github.com/globalbioticinteractions/inaturalist/archive/db6545f3d7afd88f48064dddb9f4692603545a44.zip 9a1342936d3abd508a039b4216a9c3b18b6d135160338c966f40a6fee3191731 2023-10-14T00:29:49.693Z</p><p>globalbioticinteractions/inaturalist https://www.inaturalist.org/observations/globi-observations-resource-relationships-dwca.zip 32642cd31854c4e4c93e40ed2e0117819be2397b736bff12bee32e5045204df2 2023-10-14T00:30:04.130Z</p><p>globalbioticinteractions/inaturalist https://github.com/globalbioticinteractions/inaturalist/archive/db6545f3d7afd88f48064dddb9f4692603545a44.zip 9a1342936d3abd508a039b4216a9c3b18b6d135160338c966f40a6fee3191731 2023-10-14T00:34:30.397Z</p><p>globalbioticinteractions/inaturalist https://www.inaturalist.org/taxa/inaturalist-taxonomy.dwca.zip b3355c65d28c3dc7a4e9b66d6e20bf603d91c68e6c392473be93ed43e680055c 2023-10-14T00:34:40.679Z</p><p>globalbioticinteractions/inaturalist https://github.com/globalbioticinteractions/inaturalist/archive/db6545f3d7afd88f48064dddb9f4692603545a44.zip 9a1342936d3abd508a039b4216a9c3b18b6d135160338c966f40a6fee3191731 2023-10-14T00:35:17.450Z</p>
Data from: Biotic interactions help explain variation in elevational range limits of birds among Bornean mountains
Aim <p>Physiological tolerances and biotic interactions along habitat gradients are thought to influence species occurrence. Distributional differences caused by such forces are particularly noticeable on tropical mountains, where high species turnover along elevational gradients occurs over relatively short distances and elevational distributions of particular species can shift among mountains. Such shifts are interpreted as evidence of the importance of spatial variation in interspecific competition and habitat or climatic gradients. To assess the relative importance of competition and compression of habitat and climatic zones in setting range limits, we examined differences in elevational ranges of forest bird species among four Bornean mountains with distinct features.</p> Location <p>Bornean mountains Kinabalu, Mulu, Pueh and Topap Oso.</p> Taxon <p>Rain forest bird communities along elevational gradients.</p> Methods <p>We surveyed the elevational ranges of rain forest birds on four mountains in Borneo to test which environmental variables—habitat zone compression or presence of likely competitors—best predicted differences in elevational ranges of species among mountains. For this purpose, we used two complementary tests: a comparison of elevational range limits between pairs of mountains, and linear mixed models with naïve occupancy as the response variable.</p> Results <p>We found that lowland species occur higher in elevation on two small mountains compared to Mt. Mulu. This result is inconsistent with the expectation that distributions of habitats are elevationally compressed on small mountains, but is consistent with the hypothesis that a reduction in competition (likely diffuse) on short mountains, which largely lack montane specialist species, allows lowland species to occur higher in elevation. The relative influence of competition changes with elevation, and the correlation between lower range limits of montane species and the distribution of their competitors was weaker than in lowland species.</p> Main conclusions <p>These findings provide support for the importance of biotic interactions in setting elevational range limits of tropical bird species, although abiotic gradients explain the majority of distribution patterns. Thus, models predicting range shifts under climate change scenarios must include not only climatic variables, as is currently most common, but also information on potentially resulting changes in species interactions, especially for lowland species.</p>
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> 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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. 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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. 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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. 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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. 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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. 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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. 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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. 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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. 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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. 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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. 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(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. 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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. 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(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> 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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> 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Zooplankton recovery from a whole‐lake disturbance: Examining roles of abiotic factors, biotic interactions, and traits
<p>Community assembly following disturbance is a key process in determining the composition and function of the future community. However, replicated studies of community assembly at whole ecosystem scales are rare. Here, we describe a series of whole-lake experiments in which the recovery of zooplankton communities was tracked following an ecosystem-scale disturbance, i.e., application of the piscicide, rotenone. Using a BACI design, fourteen lakes in eastern Washington were studied: seven lakes were treated with rotenone, while seven lakes acted as reference systems. Each lake was monitored up to six months before and one to two years after the rotenone treatments. Zooplankton samples and environmental measurements were collected approximately monthly from each lake. Community responses following disturbance were assessed using metrics of abundance, diversity, and community composition, as well as taxonomic group abundance. Zooplankton recovery was also assessed using species traits related to habitat, feeding mode, trophic level, body size, and life history. In addition to patterns of recovery, potential mechanisms were explored relating to abiotic conditions, biotic interactions, and traits. There were steep declines in the abundance (average across years: 99%) and diversity (average across years: 75%) of the zooplankton community following rotenone treatment. Although abundance had recovered by the second year of the study, community diversity had not fully recovered after two years. Communities from rotenone lakes appeared to be compositionally recovered within about eight months following disturbance. Cyclopoid copepods were typically the first group to recover, and remained dominant for a few months, whereas cladocerans recovered more slowly, typically within ~6-7 months following rotenone. Calanoid copepods were not fully recovered two years after rotenone treatment. Traits related to body size and feeding mode were associated with the zooplankton communities following rotenone treatment. We failed to observe significant spatial synchrony in recovery patterns of zooplankton across lakes, though we did observe significant synchrony of zooplankton taxonomic groups within lakes. These findings suggest that traits related to ecological function, and to a lesser extent, biotic and abiotic factors, as well as characteristics of the disturbance itself, may be important in helping to understand recovery processes. </p>
Terrestrial Parasite Tracker indexed biotic interactions and review summary
<p>PLEASE CONTACT AUTHORS IF YOU CONTRIBUTED AND WOULD LIKE TO BE LISTED AS A CO-AUTHOR.</p> <p>Terrestrial Parasite Tracker indexed biotic interactions and review summary.</p> <p>The Terrestrial Parasite Tracker (TPT) project began in 2019 and is funded by the National Science foundation to mobilize data from vector and ectoparasite collections to data aggregators (e.g., iDigBio, GBIF) to help build a comprehensive picture of arthropod host-association evolution, distributions, and the ecological interactions of disease vectors which will assist scientists, educators, land managers, and policy makers. Arthropod parasites often are important to human and wildlife health and safety as vectors of pathogens, and it is critical to digitize these specimens so that they, and their biotic interaction data, will be available to help understand and predict the spread of human and wildlife disease.</p> <p>This data publication contains versioned TPT associated datasets and related data products that were tracked, reviewed and indexed by Global Biotic Interactions (GloBI) and associated tools. GloBI provides open access to finding species interaction data (e.g., predator-prey, pollinator-plant, pathogen-host, parasite-host) by combining existing open datasets using open source software.</p> <p>If you have questions or comments about this publication, please open an issue at https://github.com/ParasiteTracker/tpt-reporting or contact the authors by email.</p> <p>Funding:<br> The creation of this archive was made possible by the National Science Foundation award "Collaborative Research: Digitization TCN: Digitizing collections to trace parasite-host associations and predict the spread of vector-borne disease," Award numbers DBI:1901932 and DBI:1901926</p> <p>References:<br> Jorrit H. Poelen, James D. Simons and Chris J. Mungall. (2014). Global Biotic Interactions: An open infrastructure to share and analyze species-interaction datasets. Ecological Informatics. https://doi.org/10.1016/j.ecoinf.2014.08.005.</p> <p>GloBI Data Review Report</p> <p>Datasets under review:<br> - University of Michigan Museum of Zoology Insect Division. Full Database Export 2020-11-20 provided by Erika Tucker and Barry Oconner. accessed via https://github.com/EMTuckerLabUMMZ/ummzi/archive/6731357a377e9c2748fc931faa2ff3dc0ce3ea7a.zip on 2022-10-12T18:43:37.491Z<br> - Academy of Natural Sciences Entomology Collection for the Parasite Tracker Project accessed via https://github.com/globalbioticinteractions/ansp-para/archive/5e6592ad09ec89ba7958266ad71ec9d5d21d1a44.zip on 2022-10-12T18:45:13.893Z<br> - Bernice Pauahi Bishop Museum, J. Linsley Gressitt Center for Research in Entomology accessed via https://github.com/globalbioticinteractions/bpbm-ent/archive/c085398dddd36f8a1169b9cf57de2a572229341b.zip on 2022-10-12T18:47:33.370Z<br> - Texas A&M University, Biodiversity Teaching and Research Collections accessed via https://github.com/globalbioticinteractions/brtc-para/archive/f0a718145b05ed484c4d88947ff712d5f6395446.zip on 2022-10-12T18:49:42.688Z<br> - Brigham Young University Arthropod Museum accessed via https://github.com/globalbioticinteractions/byu-byuc/archive/4a609ac6a9a03425e2720b6cdebca6438488f029.zip on 2022-10-12T18:50:01.049Z<br> - California Academy of Sciences Entomology accessed via https://github.com/globalbioticinteractions/cas-ent/archive/562aea232ec74ab615f771239451e57b057dc7c0.zip on 2022-10-12T18:50:25.480Z<br> - Clemson University Arthropod Collection accessed via https://github.com/globalbioticinteractions/cu-cuac/archive/6cdcbbaa4f7cec8e1eac705be3a999bc5259e00f.zip on 2022-10-12T18:50:53.662Z<br> - Denver Museum of Nature and Science (DMNS) Parasite specimens (DMNS:Para) accessed via https://github.com/globalbioticinteractions/dmns-para/archive/2a15f657d5e2d7a6ee6359ee30e630bde8fea2ee.zip on 2022-10-12T18:52:36.684Z<br> - Field Museum of Natural History IPT accessed via https://github.com/globalbioticinteractions/fmnh/archive/6bfc1b7e46140e93f5561c4e837826204adb3c2f.zip on 2022-10-12T19:19:24.919Z<br> - Illinois Natural History Survey Insect Collection accessed via https://github.com/globalbioticinteractions/inhs-insects/archive/38692496f590577074c7cecf8ea37f85d0594ae1.zip on 2022-10-12T19:21:30.100Z<br> - UMSP / University of Minnesota / University of Minnesota Insect Collection accessed via https://github.com/globalbioticinteractions/min-umsp/archive/3f1b9d32f947dcb80b9aaab50523e097f0e8776e.zip on 2022-10-12T19:22:18.235Z<br> - Milwaukee Public Museum Biological Collections Data Portal accessed via https://github.com/globalbioticinteractions/mpm/archive/9f44e99c49ec5aba3f8592cfced07c38d3223dcd.zip on 2022-10-12T19:22:42.835Z<br> - Museum for Southwestern Biology (MSB) Parasite Collection accessed via https://github.com/globalbioticinteractions/msb-para/archive/f13bfa0d5493057198639d566f744379c05179f3.zip on 2022-10-12T20:46:06.063Z<br> - The Albert J. Cook Arthropod Research Collection accessed via https://github.com/globalbioticinteractions/msu-msuc/archive/38960906380443bd8108c9e44aeff4590d8d0b50.zip on 2022-10-12T21:02:26.320Z<br> - Ohio State University Acarology Laboratory accessed via https://github.com/globalbioticinteractions/osal-ar/archive/876269d66a6a94175dbb6b9a604897f8032b93dd.zip on 2022-10-12T21:02:46.553Z<br> - Frost Entomological Museum, Pennsylvania State University accessed via https://github.com/globalbioticinteractions/psuc-ento/archive/30b1f96619a6e9f10da18b42fb93ff22cc4f72e2.zip on 2022-10-12T21:02:57.714Z<br> - Purdue Entomological Research Collection accessed via https://github.com/globalbioticinteractions/pu-perc/archive/e0909a7ca0a8df5effccb288ba64b28141e388ba.zip on 2022-10-12T21:03:17.696Z<br> - Texas A&M University Insect Collection accessed via https://github.com/globalbioticinteractions/tamuic-ent/archive/f261a8c192021408da67c39626a4aac56e3bac41.zip on 2022-10-12T21:03:56.509Z<br> - University of California Santa Barbara Invertebrate Zoology Collection accessed via https://github.com/globalbioticinteractions/ucsb-izc/archive/4d997dbe8e86398f9f7f4d7851013e788073ae9c.zip on 2022-10-12T21:05:27.222Z<br> - University of Hawaii Insect Museum accessed via https://github.com/globalbioticinteractions/uhim/archive/53fa790309e48f25685e41ded78ce6a51bafde76.zip on 2022-10-12T21:05:40.778Z<br> - University of New Hampshire Collection of Insects and other Arthropods UNHC-UNHC accessed via https://github.com/globalbioticinteractions/unhc/archive/f72575a72edda8a4e6126de79b4681b25593d434.zip on 2022-10-12T21:05:59.319Z<br> - 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. accessed via https://github.com/globalbioticinteractions/unl-nsm/archive/6bcd8aec22e4309b7f4e8be1afe8191d391e73c6.zip on 2022-10-12T21:06:07.054Z<br> - Data were obtained from specimens belonging to the United States National Museum of Natural History (USNM), Smithsonian Institution, Washington DC and digitized by the Walter Reed Biosystematics Unit (WRBU). accessed via https://github.com/globalbioticinteractions/usnmentflea/archive/ce5cb1ed2bbc13ee10062b6f75a158fd465ce9bb.zip on 2022-10-12T21:06:43.102Z<br> - US National Museum of Natural History Ixodes Records accessed via https://github.com/globalbioticinteractions/usnm-ixodes/archive/c5fcd5f34ce412002783544afb628a33db7f47a6.zip on 2022-10-12T21:06:51.935Z<br> - Price Institute of Parasite Research, School of Biological Sciences, University of Utah accessed via https://github.com/globalbioticinteractions/utah-piper/archive/43da8db550b5776c1e3d17803831c696fe9b8285.zip on 2022-10-12T21:07:03.317Z<br> - University of Wisconsin Stevens Point, Stephen J. Taft Parasitological Collection accessed via https://github.com/globalbioticinteractions/uwsp-para/archive/f9d0d52cd671731c7f002325e84187979bca4a5b.zip on 2022-10-12T21:07:14.513Z<br> - 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. accessed via https://github.com/globalbioticinteractions/vectorbase/archive/00d6285cd4e9f4edd18cb2778624ab31b34b23b8.zip on 2022-10-12T21:07:22.543Z<br> - WIRC / University of Wisconsin Madison WIS-IH / Wisconsin Insect Research Collection accessed via https://github.com/globalbioticinteractions/wis-ih-wirc/archive/34162b86c0ade4b493471543231ae017cc84816e.zip on 2022-10-12T21:07:52.105Z<br> - Yale University Peabody Museum Collections Data Portal accessed via https://github.com/globalbioticinteractions/yale-peabody/archive/43be869f17749d71d26fc820c8bd931d6149fe8e.zip on 2022-10-12T21:16:57.226Z</p> <p>Generated on:<br> 2022-10-12</p> <p>by:<br> GloBI's Elton 0.12.4 <br> (see https://github.com/globalbioticinteractions/elton).</p> <p>Note that all files ending with .tsv are files formatted <br> as UTF8 encoded tab-separated values files.</p> <p>https://www.iana.org/assignments/media-types/text/tab-separated-values</p> <p><br> Included in this review archive are:</p> <p>README:<br> This file.</p> <p>review_summary.tsv:<br> Summary across all reviewed collections of total number of distinct review comments.</p> <p>review_summary_by_collection.tsv:<br> Summary by reviewed collection of total number of distinct review comments.</p> <p>indexed_interactions_by_collection.tsv: <br> Summary of number of indexed interaction records by institutionCode and collectionCode.</p> <p>review_comments.tsv.gz:<br> All review comments by collection.</p> <p>indexed_interactions_full.tsv.gz:<br> All indexed interactions for all reviewed collections.</p> <p>indexed_interactions_simple.tsv.gz:<br> All indexed interactions for all reviewed collections selecting only sourceInstitutionCode, sourceCollectionCode, sourceCatalogNumber, sourceTaxonName, interactionTypeName and targetTaxonName.</p> <p>datasets_under_review.tsv:<br> Details on the datasets under review.</p> <p>elton.jar: <br> Program used to update datasets and generate the review reports and associated indexed interactions.</p> <p>datasets.zip:<br> Source datasets used by elton.jar in process of executing the generate_report.sh script.</p> <p>generate_report.sh:<br> Program used to generate the report</p> <p>generate_report.log:<br> Log file generated as part of running the generate_report.sh script</p>
Biotic interactions promote local adaptation to soil in plants - Supplementary data
<p>Although different ecological factors shape adaptative evolution in natural habitats, we know little about how their interactions impact local adaptation. Here we used eight generations of experimental evolution with outcrossing <em>Brassica rapa</em> plants as a model system, in eight treatment groups that varied in soil type, herbivory (with/without aphids), and pollination mode (hand- or bumblebee-pollination), to study how biotic interactions affect local adaptation to soil. First, we show that several plant traits evolved in response to biotic interactions in a soil-specific way. Second, using a reciprocal transplant experiment, we demonstrate that significant local adaptation to soil-type evolved in the "number of open flowers", a trait used as a fitness proxy, but only in plants that evolved with herbivory and bee pollination. Whole genome re-sequencing of experimental lines revealed that biotic interactions caused a 10-fold increase in the number of SNPs across the genome with significant allele frequency change, and that alleles with opposite allele frequency change in different soil types (antagonistic pleiotropy) were most common in plants with an evolutionary history of herbivory and bee pollination. Our results demonstrate that the interaction with mutualists and antagonists can facilitate local adaptation to soil type through antagonistic pleiotropy. </p>
Data from: The importance of biotic interactions in distribution models of wild bees depends on the type of ecological relations, spatial scale and range
<p>Studies have found that biotic information can play an important role in shaping the distribution of species even at large scales. However, results from species distribution models are not always consistent among studies, and the underlying factors that influence the importance of biotic information to distribution models, are unclear. 2. We studied wild bees and plants, and cleptoparasite bees and their hosts in the Netherlands to evaluate how the inclusion of their biotic interactions affects the performance of species distribution models. We assessed model performance through spatial block cross-validation and by comparing models with interactions to models where the interacting species were randomized. Finally, we evaluated how, (i) spatial resolution, (ii) taxonomic rank (genus or species), (iii) degree of specialization, (iv) distribution of the biotic factor, (v) bee body size and (vi) type of biotic interaction, affect the importance of biotic interactions in shaping the distribution of wild bee species using generalized linear models. 3. We found that the models of wild bees improved when the biotic factor was included. The model performance improved the most for parasitic bees. Spatial resolution, taxonomic rank, distribution range of the biotic factor, and degree of specialization of the modelled species all influenced the importance of the biotic interaction to the models. 4. We encourage researchers to include biotic interactions in species distribution models, especially for specialized species and when the biotic factor has a limited distribution range. However, before adding the biotic factor we suggest considering different spatial resolutions and taxonomic ranks of the biotic factor. We recommend using single species or genus data as a biotic factor in the models of specialist species and for the generalist species, we recommend using an approximate measure of interactions, such as flower richness.</p>
Fig. 7 in Biotic interaction between spionid polychaetes and bouchardiid brachiopods: Paleoecological, taphonomic and evolutionary implications
Fig. 7. Fragments of Bouchardia rosea (Mawe, 1823) shells resulting from the breakage along the surface defined by polychaete tubes.
Fig. 2 in Biotic interaction between spionid polychaetes and bouchardiid brachiopods: Paleoecological, taphonomic and evolutionary implications
Fig. 2. Schematic stratigraphic sections of the studied fossil localities in Bajo de San Julián, Argentina (A) and Cerro Bautista, Uruguay (B), showing the Bouchardia−beds.
Fig. 4. Bioerosion trace Caulostrepsis. A. Specimen DZP−18422 in Biotic interaction between spionid polychaetes and bouchardiid brachiopods: Paleoecological, taphonomic and evolutionary implications
Fig. 4. Bioerosion trace Caulostrepsis. A. Specimen DZP−18422, ventral valve of Bouchardia rosea showing the typical morphology of Caulostrepsis. Note the well−developed central ridge, and the straight morphology of the trace. B, C. Specimens DZP−18423 and 18424, respectively. Note that the galleries are roughly straight, and not enlarged at their distal extremities. The apertural groove (arrow) is well marked. D. Specimen DZP−18425, dorsal valve, showing multiple (arrows), straight traces. E, F. X−ray images of the specimens DZP−18426 and 18427, respectively. Note the straight morphology of unabraded tubes and the apertural groove (arrow) in the specimen DZP−18427. Scale bars 5 mm.
Fig. 6 in Biotic interaction between spionid polychaetes and bouchardiid brachiopods: Paleoecological, taphonomic and evolutionary implications
Fig. 6. Morphology of Caulostrepsis. A, B. Drawings of Caulostrepsis taeniola Clarke, 1908 (A) and Caulostrepsis cretacea (Voigt, 1971) (B), respectively. C. Morphology of Caulostrepsis traces found in Bouchardia rosea shells. Note differences in the cross−sectional morphology between the traces reported here (C) and those documented previously (A, B).
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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
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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
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