Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
10,735
datasets available to search
ShareScore release 0.9.0
Dataset results
10,735 results for “dependence”
Portimine A toxin causes skin pathology through ZAKα-dependent NLRP1 inflammasome activation: LC-MS/MS raw data for Figure 1. C
<p>This dataset pertains to the LC-MS/MS analyses conducted as part of a study on microalgal toxins present in samples from Senegal, published in the paper entitled <em>"Portimine A toxin causes skin pathology through ZAK</em><em>α</em><em>-dependent NLRP1 inflammasome activation."</em> The data correspond to the quantification results of environmental samples presented in Figure 1C.</p> <p>The raw data were acquired using Analyst software (Applied Biosystems proprietary software). The materials and methods used to generate these data are detailed in the associated publication in <em>EMBO Molecular Medicine</em> (ISSN: 1757-4676, 2024).</p>
Distinct tissue-dependent composition and gene expression of human fetal innate lymphoid cells
<p>Countmatrix and metadata for gene expression in bulk NK cells and CD304+ ILC3s isolated from human fetal liver, lung, intestine, and skin. </p>
BAM reference data: Temperature-dependent Young's and shear modulus data for additively and conventionally manufactured variants of Ni-based alloy Inconel IN718
<p>This BAM reference dataset reports the elastic properties (Young's modulus, shear modulus) of Ni-based alloy Inconel IN718 between room temperature and 800 °C in an additively manufactured variant (laser powder bed fusion, PBF‑LB/M) and from a conventional process route (hot rolled bar). It was generated in an accredited test laboratory using calibrated measuring equipment. The calibrations meet the requirements of the test procedure and are metrologically traceable. The dataset was audited as BAM reference data.</p>
BAM reference data: Temperature-dependent Young's and shear modulus data for additively and conventionally manufactured variants of Ti-6Al-4V
<p>This BAM reference dataset reports the elastic properties (Young's modulus, shear modulus) of titanium alloy Ti-6Al-4V between room temperature and 400 °C in an additively manufactured variant (laser-based directed energy deposition with powder as feedstock, DED-LB/M) and from a conventional process route (hot rolled bar). It was generated in an accredited test laboratory using calibrated measuring equipment. The calibrations meet the requirements of the test procedure and are metrologically traceable. The dataset was audited as BAM reference data.</p>
BAM reference data: Temperature-dependent Young's and shear modulus data for additively and conventionally manufactured variants of austenitic stainless steel AISI 316L
<p><span>This BAM reference dataset reports the elastic properties (Young's modulus, shear modulus) of austenitic stainless steel AISI 316L between room temperature and 900 °C in an additively manufactured variant (laser powder bed fusion, PBF</span><span>‑</span><span>LB/M) and from a conventional process route (hot rolled sheet). It was generated in an accredited test laboratory using calibrated measuring equipment. The calibrations meet the requirements of the test procedure and are metrologically traceable. The dataset was audited as BAM reference data.</span></p>
Thickness dependence of the mechanical properties of piezoelectric high-Q_m nanomechanical resonators made from aluminium nitride
<p>Data used for figures in "Thickness dependence of the mechanical properties of piezoelectric high-Q_m nanomechanical resonators made from aluminium nitride" Anastasiia Ciers et.al <a href="https://doi.org/10.1088/2633-4356/ad9b64">Materials for Quantum Technology <strong>4</strong>, 046301 (2024)</a>; <a href="https://doi.org/10.48550/arXiv.2410.03944">arXiv:2410.03944 [cond-mat.mes-hall] (2024)</a></p>
Scale dependent spatial structuring of mountain river large bed elements maximizes flow resistance - Data
<p>Datasets and R code related to manuscript entitled, "Scale dependent spatial structuring of mountain river large bed elements maximizes flow resistance". See '0_READ_ME.rtf' file for additional description of available files.</p>
Vitamin D status is heritable and under environment-dependent selection in the wild
<p>Vitamin D has a well-established role in skeletal health and is increasingly linked to chronic disease and mortality in humans and companion animals. Despite the clear significance of vitamin D for health and obvious implications for fitness under natural conditions, no longitudinal study has tested whether the circulating concentration of vitamin D is under natural selection in the wild. Here, we show that concentrations of dietary-derived vitamin D and endogenously-produced vitamin D metabolites are heritable and largely polygenic in a wild population of Soay sheep (<em>Ovis aries</em>). Vitamin D status was positively associated with female adult survival, and vitamin D status predicted female fecundity in particular, good environment years when sheep density and competition for resources was low. Our study provides evidence that vitamin D status has the potential to respond to selection, as well as new insights into how vitamin D metabolism is associated with fitness in the wild. </p>
Genome-wide gene expression noise in Escherichia coli is condition-dependent and determined by propagation of noise through the regulatory network
<p>In this repository we provide raw and processed datasets for the article: “Genome-wide gene expression noise in <em>Escherichia coli </em>is condition-dependent and determined by propagation of noise through the regulatory network<strong>” </strong>by Arantxa Urchueguía, Luca Galbusera, Dany Chauvin, Gwendoline Bellement, Thomas Julou and Erik van Nimwegen.</p> <p>A preprint is available under the following DOI: <a href="https://doi.org/10.1101/795369">https://doi.org/10.1101/795369</a>. </p> <p>The repository consists of the following datasets: </p> <p><strong>1. preprocessed_datasets.zip(~22GB)</strong></p> <ul> <li>This dataset contains raw data from the flow cytometry experiments (FACS Canto II, BD Bioscience) in all measured conditions in RData format. Raw fcs files were processed with the tools described in the publication ''Using fluorescence flow cytometry data for single-cell gene expression analysis in bacteria" published here: <a href="https://doi.org/10.1371/journal.pone.0240233">https://doi.org/10.1371/journal.pone.0240233</a>. The tools themselves are available here: <a href="https://github.com/vanNimwegenLab/E-Flow">https://github.com/vanNimwegenLab/E-Flow</a>. Included in the files are the outputs of these processing tools together with all raw values that came directly from the flow cytometer. The file <em>directory_structure_in_preprocessed </em>contains information about how the files are organized.</li> </ul> <p><strong>2. info_files: </strong>This is a set of csv files containing detailed information about the experiments done to acquire the preprocessed_datasets as well as annotation files that we used to retrieve promoter information. </p> <p><strong>3. processed_datasets:</strong> These files correspond to the processed datasets from the raw Rdata files under 1 above. The processed data provide mean and variance estimates in fluorescence of E.coli promoters across the different growth conditions. Note that we discarded flow cytometry measurements from promoter/growth-condition combinations that contained abnormal fluorescence distributions (due to contamination) as well as measurements from reporters with annotation mismatches. The folder contains the following clean dataset files that were used in the paper:</p> <ul> <li><strong>FULL_dataset_mean_var_wreplicates:</strong> In this dataset we include the processed means and variances (in both logarithmic and linear scale) of all promoters in each condition. Included as well are replicate measurements for some conditions.. We also include the name and Blattner number of the gene immediately downstream of each promoter, the DNA sequence of each promoter, and regulatory information (number of unique inputs for transcription factors sites and their names) which we obtained from RegulonDB v 10.5 (<a href="https://doi.org/10.1093/nar/gky1077">https://doi.org/10.1093/nar/gky1077</a>). </li> <li><strong>dataset_with_noise_estimates: </strong>In this dataset we provide noise estimates for all promoters expressed above an expression threshold (mean GFP fluorescence at least as large as autofluorescence). Note that the noise estimate correspond to the difference between the promoter’s variance in log-expression and the minimal variance as a function of its mean expression (i.e. the so called noise floor was subtracted). Apart from the mean, variance, noise and promoter features (sequence, name of gene downstream, number of unique regulatory inputs and name of the TFs binding), we also include the parameters used for fitting the minimal noise, i.e. noise floor, in each of the conditions. </li> <li><strong>time_course_data_SI</strong>: This dataset contains mean and variance measurements of one of the plates of the library measured at different time points during growth in Minimal media 0.4M NaCl: 0h (just after dilution), 1h, 2h, 3h, 5h, 6.5h, 8.5h, 10h and 11h. </li> <li><strong>growth_curves_SI</strong>: Growth data (OD<sub>600</sub> as a function of time) for a subset of the promoters from the library across different growth conditions.</li> <li><strong>singlecell_areas_SI: </strong>Single-cell areas estimated using agar patches of cells growing in each condition. Each row of the table contains data for a single-cell. </li> <li><strong>synthetic_promoters_dataset: </strong>This dataset contains mean, variance and noise measurements of a set of constitutive promoters from <a href="https://doi.org/10.7554/eLife.05856.001">https://doi.org/10.7554/eLife.05856.001</a> across different conditions.</li> <li><strong>MARA_results:</strong> All transcription factor activities results explaining measured noise levels in each condition. This data has been obtained after performing Motif Activity Response Analysis on the noise levels of all measured promoters in each condition.</li> </ul>
Global Biotic Interactions: Elton Dataset Cache Museum of Southwestern Biology and dependencies
<p>Global Biotic Interactions: Elton Dataset Cache Museum for Southwestern Biology and dependencies</p> <p>The intended use of this archive/cache is to allow for offline-enabled access versions of existing species interaction datasets. The program "Elton" (https://doi.org/10.5281/zenodo.998263) was used to populate the content of elton-datasets.tar.gz . The same program can be used to extract information from the cache archive also. Global Biotic Interactions (https://globalbioticinteractions.org, https://doi.org/10.1016/j.ecoinf.2014.08.005) also uses these archives to create derived species interaction data archives, search indexes and APIs.</p> <p>Please note that due to size considerations, offline-enabled access to an elton dataset cache of iNaturalist interaction data has been excluded from this publications and moved into a separate Zenodo publication at https://doi.org/10.5281/zenodo.3950546 .</p> <p>Contents<br> --------</p> <p>README:<br> this file</p> <p>elton-datasets.tar.gz:<br> versioned archive with species interaction datasets</p> <p>elton-datasets.tar.sha256:<br> content signature of elton-datasets.tar</p> <p>elton-datasets.tsv:<br> list of included datasets</p> <p>elton.jar:<br> commandline program to help access the species interaction datasets</p> <p>Usage<br> -----</p> <p>To install, extract elton-datasets.tar.gz into a directory of choice using:</p> <p>tar xfz elton-dataset.tar.gz</p> <p>To use, download elton.jar included this publication and execute the following to get a list of available datasets:</p> <p>java -Xmx4G -jar elton.jar datasets</p> <p>on a system that has java v8+ installed.</p> <p>If all goes well, you should be able to regenerate the included file elton-dataset.tsv .</p> <p>For more information on how to use elton.jar, execute:</p> <p>java -jar elton.jar usage</p> <p>or visit https://github.com/globalbioticinteractions/elton for more available commands.</p> <p>Alternatively, without using Elton, you can access the data by inspecting the access.tsv files in the various directories of the datasets directory.</p> <p>When using these datasets in a publication or product, please cite the *original* data providers and publications. You can find the citations in the data.</p> <p>Included datasets:</p> <p>globalbioticinteractions/msb-para Museum for Southern Biology (MSB) Parasite Collection https://github.com/globalbioticinteractions/msb-para/archive/54643c878313d7ccbf30325c713925d6c937fc9c.zip 2021-11-13T01:22:28.662Z 43a7e837b6e27532cc90eb50995fb4db169d0c8109aa27742cfabdedb3d390dc 0.12.2</p> <p>Associated content ids:</p> <p>hash://sha256/567720ed6bc8ed0e73020eb1cefb601ce274715926f42ad3b22197e26f07dbd6<br> hash://sha256/3e401123bcfe9d67ffa149b3a5208c4d91e3291c56a089796287ab9f90a3aed9<br> hash://sha256/8b0e05281afa51031f25fdd9238a9a8df2beba81dbb71aee8f05fd1265e8216a<br> hash://sha256/072be68d48c9e841458a1f60da6e66173406a97af569a04953e8a06272c3f3f4<br> hash://sha256/69493156747f43e6dedd09bdfca0ae89a8e0c97183ce71f7c8a51965361d8529<br> hash://sha256/5dbc9eb2b059a72e13c9726ffb4b6af203361254d85cfa4b4ab59cfdb7bf8395<br> hash://sha256/3af388dbae61d93e6a4509b50c141ee8705f65f4fe4e05c37b30ce7f3f7fb4f4<br> hash://sha256/d0143cd7ad5cdb0f95215abf191a715533b6d275cdda9e0a43aeef4a02d9b8e2<br> hash://sha256/04ac42484f839523527ca89f789ea9a245eda78ee24e3b6b347ee65fd206c2c7<br> hash://sha256/744e69970ce7abcd36f5dd02acd61a44e37d58e8f7d33397ec9e9904eeea3d2c<br> hash://sha256/86810de51437c4ddfc8dc41f5596466cf5641c42f9c83e4f2bb237db61859458<br> hash://sha256/c663f9961506e3a28a7a3c50f35ef7a513bf0228fb1c78f89cb7b211b8ae68eb<br> hash://sha256/6d6d59bee1facb8b7b2d6240e508c93646ff2aba17b7a00f3a476019fe1a8d2f<br> hash://sha256/58f9279d56e59dd294abff0b56900900a1bc1e0a1bc5119a05262f89075ff9d0<br> hash://sha256/153bc89714d252f651a51dad1fd9fd10fdde9d011295f77a90d8b55bc4f41760<br> hash://sha256/23f1c12611580255165f8db31d1dc2603c1dec3f4785ea3133ec11148d3cea1c<br> hash://sha256/839a5b7c265ea594e4a5c60ffd4239f1340975b8f6869c0668887615aa263a51<br> hash://sha256/5911ce5014722d467b36390b382e0fadadbc4c08cbd9b7a83a0f1dba3cc4c179<br> hash://sha256/09d16992192bdfdb231d1fde9617324fc430ebfcba217a14cc79bd8d1d265323<br> hash://sha256/efdb2d5f7193aa602c01364f204672bb5ab79f9f10c24a7f3aa9b61c6d1ccc19<br> hash://sha256/696f9b2aba8218dd9163f3d3c3801c14f4393665538571a7e32681d942019425<br> hash://sha256/ae87389f2e17ce8ff0498c3560936fc3fd58529e2ea7aad6bcc475d871c407ad<br> hash://sha256/ea6dae042759a79708898316dedbd09ea64047e8f3ea0615b224e7fb488a778e<br> hash://sha256/e66b6bf4c14ab2899b57d05f5df3b3cbfe4fab4398a57201fb079ae728ad939a<br> hash://sha256/48c68b584b7da5276e3e768bf544db23870fc151c5886d60a8343f312b74ff59<br> hash://sha256/699058a028a4512f384ed12905540b6da152c801eb933dfb8bb7327cbf320028<br> hash://sha256/063a01cd7142498db39254d64491a64aad9763063c145a6255758ec855317ab5<br> hash://sha256/d54d6ebf28db71aac9ecb478a853814aea88b2d444a28c8f41d483bdfa658ddb<br> hash://sha256/2dd6224800ba4213e25f8dbcaad4415f8a79e64ea58837933765e07cb76b440b<br> hash://sha256/9c6c4c4e65211805d5313fca8db474c259bb7f78ae8c913c22f363894093ea97<br> hash://sha256/ccf0ba861d0baf4b07ec98d8d316e20907701640207a30c8e028d453bff8315a<br> hash://sha256/f84efb0fa65e992000ed88286a46b5002be5b86746e55193a443f0207fc03e19<br> hash://sha256/7f3a60aa646cfff30f9f7b3d7f6bc245ffd8d0adf9756b23912055beb9ef55fe<br> hash://sha256/4630f1b8f75ed2b72eb207eee0a5e162b69827a78d4863feacb4251a8971acc5<br> hash://sha256/33cfafb530c1bf922233cb2bbab8fae6432d933f49b664e427d26fa83d2f1512<br> hash://sha256/58f78efc777c0c98da94f08ae6a7b4086ce443da38c48484a797f7fa48f2d33e<br> hash://sha256/9e679f22382daf80f43bb40730da24c063bc93648ca690f670aa7759e0738815<br> hash://sha256/9bdd72c9c1c46658cbbff27e72d11aac337d0df7c6bed27ad2bbe9eb3674716f<br> hash://sha256/73876364b30e626104b38ce78b7300e3aef0034c93b9a8617553cc3096ec634a<br> hash://sha256/54724f55de92e8c0972857c9a8c9025aa6732c95bc2b82bf7059a2b94e2dbb97<br> hash://sha256/25e60c85d5a3d0dc99e75c0bc914871fb887b93d2face8a13b268fed40701ae2<br> hash://sha256/3cf9036536595ad0f610eebdbb0e71cdcd5e592ef8fe92a292c3432d8003c91d<br> hash://sha256/f14f46b619a5a4bc3c54817686dee2616e04b4d28f6a1bcb8ce42f92a23763d1<br> hash://sha256/c5685f62023f0c7598f4c0df0c1c6abd88cd69099c1a2270e2326c92414ae8d5<br> hash://sha256/192833e421861ea60be772d27e6ae4d77894e15bdd7bec9d82334131d2fa340b<br> hash://sha256/123c530d39a6208ceb98aac89ad454d274fb87f4df3ffafb3cfd1cc4131671e3<br> hash://sha256/e6834acbab2fc2e8226ea13a50193f3298bc56cdcc5b795bf9a327cf1128e68e<br> hash://sha256/75f0fab12bf9692f0088f1ac8877708d0f1f6c52acc688c62462d12f9a3127b2<br> hash://sha256/f361208cdd53f4535908c6d575cac1bf677920fd52ad499ac46b5bcc0dbf60e7<br> hash://sha256/8ba38f7587a85f3bfb0a07d82ccc6cff69bc586dabd3c93139c3e9e5752aa1d9<br> hash://sha256/29840fa2e69b15b9913af921f2a738602f51a457d4cd92a8dee79562a4875d94<br> hash://sha256/2b5cb320b5ee4d345bf3b9fdf3648954b4cbce3b2f822d488a7bb92ab52ef171<br> hash://sha256/d80303453592038c485247966d611c13ca6304f03d44f0bc9756097a275fbc13<br> hash://sha256/0e7f50547be1add0b78c29f36a66e471ee04909a4775b31e0868d320a7877e15<br> hash://sha256/128453c25acb3b1ed0112df1a119e67f5098ab8f0b038412733b34a9deeec1bb<br> hash://sha256/7955d7aa5eac29a40ccebd3d09bf1f7623d8fd3709f442a0f4049998845bf8f9<br> hash://sha256/b00ebcb02f6c9003d35acaca8db452fb8be77b5def2203e9a2a6c860b3ef9ed7<br> hash://sha256/1e07f7d60fccfddd7d4938a73dc93e2962d6bdf61bedaca32312c8071b22fa19<br> hash://sha256/0ec454267c227b8d7d06c2eebb1d6dd7140f4197ab7d944b244fd644afee245b<br> hash://sha256/702a1d6815edbbfd1e2a786122b5359c3c1ba46d27d19dfe2705a9d0c3059123<br> hash://sha256/9b1e465dba409878106d5d84d62ffc8f412bbae42a648941813b5adbdf4890fa<br> hash://sha256/db78a1b182ce789d4a1c7ee9f782a990156aa61099b5ef52666ccc72e885272c<br> hash://sha256/ce6f124d4c453b4826a739790bff863f115371beb366b95525f1e964819c29f5<br> hash://sha256/f2ada98d942e74ad2b6ec2d3be65ef5c2671bc7039a3227669e8008870f3d7f9<br> hash://sha256/3a01949c722555b7d2fa3b37e2b82f51069ca9a82869fc1ea3529ad2e6279c9a<br> hash://sha256/03cdbb0d8700b7168e867a4bc35c066d6b8eeebd1307f34958771a6338872450<br> hash://sha256/6bdaaf47da035a48089ce14a0fda9cc8463f4ca74750abeb1c344ef04df75aca<br> hash://sha256/9b2a1d1f8b5fd74144e96713cf06a4fcb190fb2bf723f3cd92765724535539b0<br> hash://sha256/cf16607263c6837d8a93a466a8bf29b0719b0365a43376cb1fae080e4bc9614d<br> hash://sha256/e236a814bb9ff501c3698c372a686d5670ca497f861cee33118d4cc674eeb80b<br> hash://sha256/4e9f328a987fa31ec8333d204cc7cadc932fb463f0db6cad6d4257d16b5f9e00<br> hash://sha256/5cfc5c4b73104beaca2d7ee8b8b50990fb9f9ca8332f83d4068cc1f6c15d1cb5<br> hash://sha256/43a7e837b6e27532cc90eb50995fb4db169d0c8109aa27742cfabdedb3d390dc<br> hash://sha256/6c7ab7ee6d514d04e6d3d2fe79a1f239cec16d1ebee5b011a0f337c0c626eb7e<br> hash://sha256/e7382124a168d5613639c47530989b3112139d2f7b1ad3b9653d62decc10ce02<br> hash://sha256/e1c4b54e4c18b4c02534e6d69b3fd57fd630d00521f876efb719ae2d90f5573a<br> hash://sha256/bfbd47b31dff20ec483e26d86af1f38aa035f6ec6a4e62825e8b7fbb538a527f<br> hash://sha256/b2107f28fe9f4a168a526a2e5472ef553e0a1fed8094065647791f4829a51cfc<br> hash://sha256/3d0c8b1be95ca4a0382defe8de96853968a8a7cd94b3d9f4915218a7bb771c8f<br> hash://sha256/94b4bb1651e9816c9137c143c05523d8c452a04ae2a39a3085a8e8463cfeb2cb<br> hash://sha256/123b670ed12662dcc150fa4a1d391d5d81d5d57ed2101b0ded844dd42269fb9e<br> hash://sha256/c7dea0890e8c778c6c79119c599ef606543a612e5d9a9b35b1bc08720a7c37d1<br> hash://sha256/aff80b8f578430099dd9a8489d68195f6ec058167ff43b59a20b273c07dc69f4<br> hash://sha256/d63841cd03e9bd1edd28d4e89d3f412d5b9117cd2b80350ce38a03e12cd15066<br> hash://sha256/6b1b6f3c4cd166d5d1f087ccde996a948af776ddae8c6c9a4ecaa9028b244e60<br> hash://sha256/fa73a979f6d3ec020459b03298e42fef1d0be399466867e2258c94da1d7613e3<br> hash://sha256/6146fc9c3c0a9f766d41ee08f699eaa6f0e3f171f72feb2d40e8a1edf61ab84d<br> hash://sha256/fe72c48d094f0273bd6580a956f2d60ef2802e298c888239e5df2b889c146e30<br> hash://sha256/31e61eb8035b01508dd70200426bc5154af7ac07451dc839dcc2207654ba68de<br> hash://sha256/4b9c2d0063393cca67d88f218a44f049bb42f8e86e15b4c16f8dd14b4992e8f4<br> hash://sha256/ae937100bd982bf7a819697e69070b5a7bb1644b39740688f05c220f70c74b43<br> hash://sha256/625167a97ffcbf26472e83eb5fbaceb05f86c1455b0aa94da8571de47bf85a44<br> hash://sha256/9aef51a74e2b126dd9bfa1f71f27a543f194c00e7fcf62b395622aaf81c80483<br> hash://sha256/47c512872f98bff639301f94624b6ca2629d7101b60590c30eed0b5be1e91204<br> hash://sha256/f2641d07959a26a487402b8ecce89901544738d978df0e63c49c00b7f9ab5611<br> hash://sha256/1159d5e19ff063ef5f227ff6c950b59c6378143fe459a24bec36bd6a8fbe12a5<br> hash://sha256/424de30fdbe18f274d28db4c5f5e6ef081c44d3f6b7714e32e046f7de642d298<br> hash://sha256/496447e9c0811a36feb7d190c813efa09d206fafdf6d9cc68c09245e7f316e57<br> hash://sha256/0f2c716e681269f34913e5ddbbc647c9e0f36e5d27eff281bd6b8361cf871ed2<br> hash://sha256/d0f27eee87549aa3e90870cc2e1b1e54c3c10c1964330d7844e6e6752a3b0d1c<br> hash://sha256/28484ec162403ea23c7561ae45bd36c1aa52d55be578607bb786a7d8d1e02269<br> hash://sha256/d71a5cc1eda721d6f3d8731b5462fb762b7e5c072784369ca440f2d20b9878df<br> hash://sha256/c8b68936c1d28557014a44614d0411340c09de8ce4c60caf0f1e2e646ba4d41a<br> hash://sha256/60a3f89e8de272a1644df63a901c691eaf363e91f1272514aee0842fb9f84a31<br> hash://sha256/1cda2cd112c4cf4f50c9b3bc5153ee5dd4a78ad8710f5061d6b11a2a9a1d9fdc<br> hash://sha256/c8cefec1e4887114447399a029618d55205971fcd2a7ee869be23813313cae64<br> hash://sha256/936254bb17c1a33bc97eac8dc04e3b5d8291e849de80c637f093b6167837c959<br> hash://sha256/9081f272a2a1dc66381c7820b87c5906f32d48ad5cedbbf16d030963462e5b8f<br> hash://sha256/99c92a63299da8009f2a136578aebfc53e15e98d66c8b94fb1c7617322540ac0<br> hash://sha256/3fefef7655c6ca85cf040c49d3a6e996ff26d44b9243dcb45793ce9b8758ba34<br> hash://sha256/6ef502b8caf8a1dafa7f9f446f435dee40e2c7620cbe2c1440ae0b50ea6aaea6<br> hash://sha256/f86896e5952a8e849d4d5aad1600cbe8a6b097781c7678fe176827aa83899917<br> hash://sha256/e82bc4cda775fcceeaff88ae8ded371d80986049f19856f91d85e64c9e7f1cf9<br> hash://sha256/7726cf33ee3c8f5fc0a49e552b055832e4f18768bb392adfbdb78f46ed397583<br> hash://sha256/b586c1f7edea105a6ea26fa2756143bba090ab6edc633a8d8c32345d16f46b09<br> hash://sha256/80ed6a98fbe409e6f71f1fbcc50d63fa54ec1497827698868cddaf363c6a41ef<br> hash://sha256/4e4421617af98d502e5a962eabfb45476e463aefe39e917297e9b9743ab4d199<br> hash://sha256/8e40691d83323b1bae6d7b6792823e02ca5fbca78f1d10bb9ba9fe0d018cf77f<br> hash://sha256/8b433c524c64958465c894ee40ec4675e15fca70a3bb26c41f6487b3edc6436d<br> hash://sha256/2dd2b611faaf0ae571992d4f44032010dc9a16b52cb3eac2c6cc1eb75a4d4069<br> hash://sha256/636a65ce9b8ff30bac73e32474d19441ce41af107bdf9228ed17cc6d68374451<br> hash://sha256/dda0cffa375ef2326e6170fc9853ef038a135e5b065a251432bff5f323fa85a2<br> hash://sha256/2328b5e346e2e7cba9cabeddc740962151850e6213ae27c6b24b39efe9df9821<br> hash://sha256/bab68ce5461cca9d223f8330cf1f768805318fa8b6e0af7da1042b78364310a5<br> hash://sha256/22baff13b3465c843731d54e05a00bb7913b4c64f6b655b3f112f71157851938<br> hash://sha256/02e60e1070686c67de54d5b4e36ea4faedf21b64bbc66afdea8d2ec10e7bcba4<br> hash://sha256/45ede12efbaefa88d58a0f65a5d5218e4b2d9a96e073dc96e82d9fd7a8e681a6<br> hash://sha256/bf0a250e665bb620a0777b369c65af1d3950a773435464552fd1cd85159d2510<br> hash://sha256/0f0885a27ff7d752f6707eb6f563f704ae5d346c256b83d0855d2f981eed7f89</p> <p> </p>
Synthetic dataset for the flow-shop problem with sequence-dependent setup times (FSsdsu_DS_01)
<p>Synthetic dataset containing setup and processing times for a flow-shop problem of 1.000 parts and 200 machines. The setup times are specified for each machine taking into account the previous part produced on the machine.</p>
Data and R code from: Relics of beavers past: time and population density drive scale-dependent patterns of ecosystem engineering
<p><span>Like many ecological processes, natural disturbances exhibit scale-dependent dynamics that are largely a function of the magnitude, frequency, and scale at which they are assessed. Ecosystem engineers create patch-scale disturbances that affect ecological processes, yet we know little about how these effects scale across space or vary through time. Here, we investigate how patch disturbances by beavers (<i>Castor canadensis</i>), ecosystem engineers renowned for their pond-creation behavior, affect ecological processes across space and time. We evaluated how beaver population recovery influenced surface water dynamics in relation to population density over 70 years across multiple spatial scales (pond, watershed, and regional) in northern Minnesota. Surface water area was positively related to population density at the watershed scale; however, despite variation in beaver densities (and therefore surface water area) at the watershed scale, regional-scale surface water area was stable through time. This stability appears to have been driven by asynchronous beaver density fluctuations among watersheds, combined with the increasing importance of abandoned ponds. Beavers initially created and occupied larger ponds with greater surface water area, but through time shifted towards occupying smaller ponds. As ponds accumulated on the landscape proportionally more surface water was stored within abandoned ponds, which offset the smaller size of occupied ponds. Beaver engineering—driven by density-dependent mechanisms and the legacy effects from abandoned ponds—not only follows general patterns of patch disturbance dynamics by creating a spatial mosaic of patches, but the organism-created mosaic also appears to generate ecological stability at greater spatial scales. We suggest restoring beavers to landscapes is a viable method for increasing surface water storage and will ultimately help advance numerous conservation and rewilding objectives. Our study demonstrates that ecosystem engineering effects can be scale-dependent, indicating researchers should evaluate the ecological impact of engineers across diverse spatiotemporal scales to fully understand their functional roles in ecosystems.</span></p>
Time dependence of advection-diffusion coupling for nanoparticle ensembles
<p>Data appearing in the figures of the article DOI:10.1103/PhysRevFluids.6.064201.</p>
Frequency-dependent hybridization contributes to habitat segregation in monkeyflowers
<p>Spatial segregation of closely related species is usually attributed to differences in stress tolerance and competitive ability. For both animals and plants, reproductive interactions between close relatives can impose a fitness cost that is more detrimental to the rarer species. Frequency-dependent mating interactions may thus prevent the establishment of immigrants within heterospecific populations, maintaining spatial segregation of species. Despite strong spatial segregation in natural populations, two sympatric California monkeyflowers (<i>Mimulus nudatus</i> and <i>M. guttatus</i>) survive and reproduce in the other's habitat when transplanted reciprocally. We hypothesized that a frequency-dependent mating disadvantage maintains spatial segregation of these monkeyflowers during natural immigration. To evaluate this hypothesis, we performed two field experiments. First, we experimentally added immigrants in varying numbers to sites dominated by heterospecifics. Second, we reciprocally transplanted arrays of varying resident and immigrant frequency. Immigrant seed viability decreased with conspecific rarity for <i>M. guttatus</i>, but not <i>M. nudatus</i>. We observed immigrant minority disadvantage for both species, but driven by different factors– frequency-dependent hybridization for <i>M. guttatus</i>, and competition for resources and/or pollinators for <i>M. nudatus</i>. Overall, our results suggest a major role for reproductive interference in spatial segregation that should be evaluated along with stress tolerance and competitive ability.</p>
Hemoglobin as oxygen-dependent glutathione buffer
<p>This dataset is associated with the pre-print "Hemoglobin as oxygen-dependent glutathione buffer" DOI 10.5281/zenodo.5817228 </p>
Environment and density-dependency explain the fine-scale distribution of tree recruits before and after thinning
<p>Dataset used in the article "Environment and density-dependency explain the fine-scale distribution of tree recruits before and after thinning" in PeerJ</p>
Dataset related to article "Complement activation promoted by the lectin pathway mediates C3aR-dependent sarcoma progression and immunosuppression"
<p>This record contains raw data related to article “Complement activation promoted by the lectin pathway mediates C3aR-dependent sarcoma progression and immunosuppression"</p> <p>Complement has emerged as a component of tumor promoting inflammation. We conducted a systematic assessment of the role of complement activation and effector pathways in sarcomas. <em>C3</em> <sup>-/-</sup>, <em>MBL1/2</em> <sup>-/-</sup> and <em>C4</em> <sup>-/-</sup> mice showed reduced susceptibility to 3-methylcholanthrene sarcomagenesis and transplanted sarcomas, whereas C1q and factor B deficiency had marginal effects. Complement 3a receptor (C3aR), but not C5aR1 and C5aR2, deficiency mirrored the phenotype of <em>C3</em> <sup>-/-</sup> mice. C3 and C3aR deficiency were associated with reduced accumulation and functional skewing of tumor-associated macrophages, increased T cell activation and response to anti-PD-1 therapy. Transcriptional profiling of sarcoma infiltrating macrophages and monocytes revealed the enrichment of MHC II-dependent antigen presentation pathway in C3-deficient cells. In patients, C3aR expression correlated with a macrophage population signature and C3 deficiency-associated signatures predicted better clinical outcome. These results suggest that the lectin pathway and C3a/C3aR axis are key components of complement and macrophage-mediated sarcoma promotion and immunosuppression.</p>
A hierarchical dependent double-observer method for estimating waterfowl breeding pairs abundance from helicopters
<p>We applied a dependent double-observer method for helicopter surveys and developed a hierarchical Bayesian model as a means to adjust counts of waterfowl for incomplete detection. We conducted our study using 52 plots in Labrador, Canada. A designated pair of primary observers reported counts and location of all waterfowl flocks that they detected to a pair of secondary observers, including details regarding the species, age and sex of observed birds. Secondary observers then reported any additional flocks observed by them but missed by the primary observers. The pairs of observers alternated between primary and secondary roles during the course of the survey, as well as position (front or back) within the helicopter. We used hierarchical Bayesian models to estimate detection probabilities of waterfowl flocks, as well as derive species-specific detection-corrected abundance and sex composition estimates of flocks. The hierarchical model output allowed us to derive estimates of indicated breeding pairs for each species in the survey area corrected for incomplete detection. Observers seated in the back of the helicopter had higher detection probabilities (0.89; 90% Bayesian Credible Intervals [BCI] = 0.82 – 0.95) than those in the front (0.74; 90% BCI = 0.66 – 0.83), and observer experience had a limited effect on detection. Total crew detection probabilities ranged between 0.99 (90% BCI = 0.97 – 1.00) and 0.97(90% BCI = 0.94 – 0.99), depending on the individual observers' position and role in the helicopter. Detection probabilities were higher for sea ducks and diving ducks and lower for dabbling ducks. Observers generally missed less than 5% of the total indicated pairs for all species. We recommend that detection in helicopter surveys be measured to control for observer turnover, observer experience, and aircraft-related differences in visibility.</p>
Replication Package for: "Overcoming the gap between structured dependencies and change coupling"
<p>This datasets contains example projects that resulted from the empirical analysis of the history of object-oriented cyber-physical<br> systems: Glucosio/glucosio-android<sup>[1]</sup> , isl-org/OpenBot<sup>[2]</sup>, eclipse/concierge<sup>[3]</sup>, and WPIRoboticsProjects/GRIP<sup>[4]</sup>. It was created using our prototype tool <em>callgraphCA</em> to discover metrics of software changes, based on<br> call graph analysis and evolution and serve to display change coupling of artifacts and call graph evolution.</p> <p>Contained in the dataset are the databases generated by <em>callgraphCA </em>as well as example Notebooks that show the project results and <em>callgraphCA </em>libraries that support the analysis. For detailed information about <em>callgraphCA </em>visit <a href="https://github.com/GLopezMUZH/callgraphCA">GitHub: GLopezMUZH/callgraphCA</a></p> <p>[1] https://github.com/Glucosio/glucosio-android</p> <p>[2] https://github.com/isl-org/OpenBot/</p> <p>[3] https://github.com/eclipse/concierge</p> <p>[4] https://github.com/WPIRoboticsProjects/GRIP</p>
Dependence of MeV TOF SIMS secondary molecular ion yield from phthalocyanine blue on primary ion stopping power
<p>Time-of-flight Secondary Ion Mass Spectrometry (TOF SIMS) is a well-established mass spectrometry technique used for the chemical analysis of both organic and inorganic materials. In the last ten years, many advances have been made to improve the yield of secondary molecular ions, especially those desorbed from the surfaces of organic samples. For that, cluster ion beams with keV energies for the excitation were mostly used. Alternatively, single-ion beams with MeV energies can be applied, as done in the present work. It is well known that secondary molecular/ion yield depends strongly on the primary ion stopping power, but the nature of this dependence is not completely clear. Therefore, in the present work secondary ion yield from the phthalocyanine blue (C<sub>32</sub>H<sub>16</sub>CuN<sub>8</sub>, organic pigment) was measured for the various combinations of ion masses, energies and charge states. Measured values were compared with the existing models for ion sputtering. An increase of the secondary yield with the primary ion energy, electronic stopping, velocity and charge state was found for different types of primary ions. Although this general behavior is valid for all primary ions, there is no single parameter that can describe the measured results for all primary ions at once. </p> <p>- measured (calibrated) spectra are uploaded </p> <p> </p> <p> </p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.