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.
2,399
datasets available to search
ShareScore release 0.7.1
Dataset results
2,399 results for “Fragmentation”
Data from: Absence of genetic isolation across highly fragmented landscape in the ant Temnothorax nigriceps
<p><strong>This README accompanies data_genotyping.txt</strong></p> <p> </p> <p><strong><em>Associate publication : </em></strong></p> <p>Absence of genetic isolation across highly fragmented landscape in the ant Temnothorax nigriceps</p> <p>M. Cordonnier<sup>a</sup>, D. Felten<sup>a</sup>, A. Trindl<sup>a</sup>, J. Heinze<sup>a</sup>*, A. Bernadou<sup>a</sup>*</p> <p><sup>a</sup>Lehrstuhl für Zoologie / Evolutionsbiologie, Univ. Regensburg</p> <p>*Equal contribution</p> <p> </p> <p>****************************** CONTENTS *******************************</p> <p>The data can be readily imported in any statistical package or spreadsheet program. Please, contact me if you need the file formatted in other ways.</p> <p> </p> <p>This file includes a description of the variables.</p> <p>***********************************************************************</p> <p>Variable names and descriptions</p> <p> </p> <p><strong>Sample:</strong> ID of the sampled nest</p> <p><strong>Location:</strong> Population of the sampled nest</p> <p> </p> <p><strong>List of genotypes </strong></p> <p>Microsatellite primers used in the study</p> <table> <tbody> <tr> <td> </td> <td> <p>Annealing temperature [°C]</p> </td> <td> <p>Orientation</p> </td> <td> <p>Sequence of primers</p> </td> </tr> <tr> <td> <p>LX GT218</p> </td> <td> <p>57</p> </td> <td> <p>Forward</p> </td> <td> <p>5’-GTTCTTGCGCGGATGCATAC-3’</p> </td> </tr> <tr> <td> <p>Reverse</p> </td> <td> <p>5’-TGTACTCGCGTGTCTATCGG-3’</p> </td> </tr> <tr> <td> <p>Ant3993</p> </td> <td> <p>57</p> </td> <td> <p>Forward</p> </td> <td> <p>5’-TGATCCGCTCTTAAAATTTAGATGGA-3’</p> </td> </tr> <tr> <td> <p>Reverse</p> </td> <td> <p>5’-ACTTTCCGCRGCATTAAACATTTTCTT-3’</p> </td> </tr> <tr> <td> <p>L-18</p> </td> <td> <p>57</p> </td> <td> <p>Forward</p> </td> <td> <p>5’-TGAATTTGGATGGCGGTAGAC-3’</p> </td> </tr> <tr> <td> <p>Reverse</p> </td> <td> <p>5’-ACCTAATGCACGCTTTAGAAT-3’</p> </td> </tr> <tr> <td> <p>LXA GT1</p> </td> <td> <p>57</p> </td> <td> <p>Forward</p> </td> <td> <p>5’-GTGGCGACCAATTCTGCAAG-3’</p> </td> </tr> <tr> <td> <p>Reverse</p> </td> <td> <p>5’-GCAGGACCAGCATCAAATGACAG-3’</p> </td> </tr> <tr> <td> <p>2MS17</p> </td> <td> <p>55</p> </td> <td> <p>Forward</p> </td> <td> <p>5’-CAGCCTCTATTTTGTTCGAAG-3’</p> </td> </tr> <tr> <td> <p>Reverse</p> </td> <td> <p>5’-TTTACTGCGGCTCCATAATC-3’</p> </td> </tr> <tr> <td> <p>2MS46</p> </td> <td> <p>55</p> </td> <td> <p>Forward</p> </td> <td> <p>5’-GCTCACTACTATGCTGCCAGC-3’</p> </td> </tr> <tr> <td> <p>Reverse</p> </td> <td> <p>5’-CTTTCCTGCAAACCACGTGT-3’</p> </td> </tr> <tr> <td> <p>2MS60</p> </td> <td> <p>55</p> </td> <td> <p>Forward</p> </td> <td> <p>5’-TATGCGCCGGACAATAATCGC-3’</p> </td> </tr> <tr> <td> <p>Reverse</p> </td> <td> <p>5’-GTTCATTGTCCGAGGCGCAGC-3’</p> </td> </tr> <tr> <td> <p>2MS67</p> </td> <td> <p>55</p> </td> <td> <p>Forward</p> </td> <td> <p>5’-GAAGATTCGTCAGGATGCAGC-3’</p> </td> </tr> <tr> <td> <p>Reverse</p> </td> <td> <p>5’-AACTCTCGCTGGCAAGCGAGC-3’</p> </td> </tr> <tr> <td> <p>2MS82</p> </td> <td> <p>55</p> </td> <td> <p>Forward</p> </td> <td> <p>5’-AAAAGAGCATGCAACAGGTCAGC-3’</p> </td> </tr> <tr> <td> <p>Reverse</p> </td> <td> <p>5’-TTTCTTAAGTCGCAAGCGAGC-3’</p> </td> </tr> <tr> <td> <p>2MS87</p> </td> <td> <p>55</p> </td> <td> <p>Forward</p> </td> <td> <p>5’-GGAACCTCACTCAACCTCGGT-3’</p> </td> </tr> <tr> <td> <p>Reverse</p> </td> <td> <p>5’-ACGCGGACTACTTTAACCGGA-3’</p> </td> </tr> <tr> <td> <p>2MS91</p> </td> <td> <p>55</p> </td> <td> <p>Forward</p> </td> <td> <p>5’-AAAGTCTCGGAGTGGCTTTGC-3’</p> </td> </tr> <tr> <td> <p>Reverse</p> </td> <td> <p>5’-ATTCTCGTCCATTTGTTCTAA-3’</p> </td> </tr> <tr> <td> <p>Ant11893</p> </td> <td> <p>55</p> </td> <td> <p>Forward</p> </td> <td> <p>5’-CAGGCTCGGRACGTTAATGC-3’</p> </td> </tr> <tr> <td> <p>Reverse</p> </td> <td> <p>5’-GGTGCCGACGTCTAGCTAGC-3’</p> </td> </tr> </tbody> </table> <p> </p> <p>Missing data are encoded “-9”.</p> <p> </p> <p>****************************** CONTACTING *****************************</p> <p>Contact me at:</p> <p> </p> <p>Marion Cordonnier</p> <p>e-mail: marion.cordonnier@hotmail.com</p> <p> </p> <p>***********************************************************************</p> <p> </p>
ZINC15 RECAP core fragmentation output
<p><strong>uwashed.zip</strong> --- washed molecules from ZINC15 mapping non-stereochemical SMILES to ZINC IDs.</p> <p><strong>frags.zip</strong> --- fragmented molecules</p> <p><strong>ViSAS - Example - Full.knwf </strong>---- a KNIME workflow with an exemplary implementation of ViSAS</p> <p>Consider that the folders were split for uploading. Before using any of our scripts, please join the corresponding folders after downloading. </p> <p>The fragmentation procedure followed conforms to the one published by Naveja et al., 2019: doi: 10.1186/s13321-019-0380-5</p> <p>Please cite the publication above should you use this data. Alternatively, we expect to publish in short a paper on this dataset.</p> <p> </p>
A comprehensive floristic knowledge of the largest Atlantic Forest fragment of the Fluminense Paraíba do Sul River Valley, Rio de Janeiro, Brazil
<p>The “<em>Serra da Concórdia</em>” is part of the Atlantic Forest phytogeographical domain in the Brazilian state of Rio de Janeiro and it has a predominant phytophysiognomy of Semideciduous Seasonal Forest. This region underwent intense habitat loss and fragmentation during the 19<sup>th</sup> century, due to coffee plantations and later pastures. With the decline of these activities, the areas were abandoned, triggering secondary succession. In 2002, the “<em>Parque Estadual da Serra da Concórdia</em>” was established in this region to preserve the remaining forest fragments. The updated list of vascular plants recorded in this protected area, published in the “<em>Catálogo de Plantas das Unidades de Conservação do Brasil</em>”, is presented here, along with information on richness, endemism, and conservation status.</p>
Interactive map of distribution of gene fragments indicative of cyanotoxin biosynthesis and cyanotoxins in the European Alps
<p><span>Distribution of cyanotoxins and cyanotoxin biosynthesis genes in Alpine region determined by LC-MS/MS and (q)PCR. Cyanotoxins and cyanotoxin genes are mapped on separate layers, and two basemaps are available (simple and relief). Results can be filtered by location, sample type, water body type, cyanotoxins and cyanotoxin genes. Note that cyanotoxin analyses were not performed on all sampling points.</span></p>
IN02055 Thimi Fragment of Inscription. Sanskrit XML file, draft epidoc edition
<p>IN02055 Thimi Fragment of Inscription. Sanskrit XML file (without metadata). Draft epidoc edition to be incorporated into 'Siddham' archive</p>
IN02081 Sanku Fragment Inscription (revise title). Sanskrit XML file, draft epidoc edition
<p>IN02081 Sanku Fragment Inscription (revise title). Sanskrit XML file (without metadata). Draft epidoc edition to be incorporated into 'Siddham' archive</p>
Coarse fragments % (volumetric) at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution
<p>Coarse fragments % (volumetric) at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution. Based on machine learning predictions from global compilation of soil profiles and samples. Processing steps are described in detail <strong><a href="https://gitlab.com/openlandmap/global-layers/tree/master/soil">here</a></strong>. Antarctica is not included.</p> <p>To access and visualize maps use: <a href="http://www.openlandmap.org/">OpenLandMap.org</a></p> <p>If you discover a bug, artifact or inconsistency in the maps, or if you have a question please use some of the following channels:</p> <ul> <li>Technical issues and questions about the code: <a href="https://gitlab.com/openlandmap/global-layers/issues">https://gitlab.com/openlandmap/global-layers/issues</a> </li> <li>General questions and comments: <a href="https://disqus.com/home/forums/landgis/">https://disqus.com/home/forums/landgis/</a></li> </ul> <p>All files internally compressed using "COMPRESS=DEFLATE" creation option in GDAL. File naming convention:</p> <ul> <li>sol = theme: soil,</li> <li>coarsefrag.vfraction = variable: coarse fragments volumetric fraction,</li> <li>usda.3b1 = determination method: laboratory method code,</li> <li>m = mean value,</li> <li>250m = spatial resolution / block support: 250 m,</li> <li>b10..10cm = vertical reference: 10 cm depth below surface,</li> <li>1950..2017 = time reference: period 1950-2017,</li> <li>v0.2 = version number: 0.2,</li> </ul>
Carbon x-ray Raman scattering mapping and spectroscopy of a fragment of Lepidodendron trunk from the Upper Carboniferous
<p>Carbon x-ray Raman scattering mapping and spectroscopy of a fragment of Lepidodendron trunk from the Upper Carboniferous (ca. 305 Mya) of Noyelles-lez-Lens, France</p>
Ujjain उज्जैन (Madhya Pradesh). Śrī Kāl Bhairav temple, Viṣṇu fragment.
<p>श्री काल भैरव टेम्पल, भैरव गर्ह, उज्जैन, मध्य प्रदेश. Ujjain (Madhya Pradesh). Śrī Kāl Bhairav temple, Viṣṇu fragment.</p>
Ujjain उज्जैन (Madhya Pradesh). Śrī Kāl Bhairav temple, sculpture fragment.
<p>श्री काल भैरव टेम्पल, भैरव गर्ह, उज्जैन, मध्य प्रदेश. Ujjain उज्जैन (Madhya Pradesh). Śrī Kāla Bhairav temple, sculpture fragment.</p>
Supporting Data for "Identifying the Origins of Nanoplastics in the Abyssal South Atlantic Using Backtracking Lagrangian Simulations with Fragmentation"
<p>Supporting Data for "Identifying the Origins of Nanoplastics in the Abyssal South Atlantic Using Backtracking Lagrangian Simulations with Fragmentation", published in the Ocean and Coastal Research Journal. The repository consists of the code used for the simulations and analysis, and the supplementary information document associated with the main manuscript, the Lagrangian simulation outputs and aditional data used for the analysis.</p>
Literature Curated PPIs from "Accurate and Sensitive Interactome Profiling Using a Quantitative Protein-Fragment Complementation Assay"
<p>This dataset includes the literature curated protein-protein interactions supporting the manuscript titled 'Accurate and Sensitive Interactome Profiling Using a Quantitative Protein-Fragment Complementation Assay'.</p>
Raw NanoLuc and NanoBiT Data from "Accurate and Sensitive Interactome Profiling Using a Quantitative Protein-Fragment Complementation Assay"
<p>This dataset includes raw NanoLuc and NanoBiT data supporting the manuscript titled 'Accurate and Sensitive Interactome Profiling Using a Quantitative Protein-Fragment Complementation Assay'.</p>
Analyzed NanoBiT Data from "Accurate and Sensitive Interactome Profiling Using a Quantitative Protein-Fragment Complementation Assay"
<p>This dataset includes analyzed NanoBiT data supporting the manuscript titled 'Accurate and Sensitive Interactome Profiling Using a Quantitative Protein-Fragment Complementation Assay'.</p>
Artifacts for ISSTA 2021 Paper : Validating Static Warnings via Testing Code Fragments
<p><strong>This data set is for ISSTA 2021 Paper: Validating Static Warnings via Testing Code Fragments</strong></p> <p>Static analysis is an important approach for finding bugs and vulnerabilities in software. However, inspecting and confirming static warnings are challenging and time-consuming. In this paper, we present a novel solution that automatically generates test cases based on static warnings to validate true and false positives. We designed a syntactic patching algorithm that can generate syntactically valid, semantic preserving executable code fragments from static warnings. We developed a build and testing system to automatically test code fragments using fuzzers, KLEE and Valgrind. We evaluated our techniques using 12 real-world C projects and 1955 warnings from two commercial static analysis tools. We successfully built 68.5% code fragments and generated 1003 test cases. Through automatic testing, we identified 48 true positives and 27 false positives, and 205 likely false positives. We matched 4 CVE and real-world bugs using Helium, and they are only triggered by our tool but not other baseline tools. We found that testing code fragments is scalable and useful; it can trigger bugs that testing entire programs or testing procedures failed to trigger.</p>
MALDI-TOF-MS spectra of archaeological bone fragments from Bandicoot Bay, Barrow Island (Australia) for ZooMS (Zooarchaeology by Mass Spectrometry)
<p>MALDI-TOF-MS spectra for archaeological bone fragments from Bandicoot Bay, Barrow Island, Western Australia. All spectra are uploaded in .mzml format. </p>
Ben Johnston: Five Fragments: List of differences
<p>Compared to the autograph, Ben Johnston made numerous pitch corrections in the version printed in 1975. </p> <p><strong>Note concerning the first movement</strong></p> <p>Corrections compared to the clean copy of the score (Evanston):</p> <ul> <li>orange = increase by 1 syntonic comma</li> <li>red = increase by 2 syntonic commas</li> <li>green = deepening by 1 syntonic comma </li> </ul>
Electron microscopy of particles collected by different techniques from field measurements in the Moroccan Sahara during FRAGMENT 2019
<p>An intensive field campaign between 4-30 September 2019 was conducted at a major source region on the edge of the Saharan desert in Morocco (29.83 °N 5.87 °W) in the context of the FRontiers in dust minerAloGical coMposition and its Effects upoN climaTe (FRAGMENT) project. Samples were collected with three different sampling techniques, namely: flat-plate sampler (FPS), free-wing impactor (FWI), and a micro-orifice uniform deposit impactor (MOUDI). Substrates in the MOUDI and FWI were collected two times a day with a typical sampling duration of a few minutes to avoid overloading the substrate for individual particle analysis. For the flat-plate sampler, the average exposure time was half a day. Here we present dataset of the elemental composition and morphology of more than 300,000 freshly emitted individual particles by performing offline analysis in the laboratory using Scanning Electron Microscopy (SEM) coupled with Energy-Dispersive X-ray Spectrometry (EDX).</p>
Model run and scenario data for study "Bioenergy-induced land-use change emissions with sectorally fragmented policies"
<p>This data archive contains model runs and data analysis files to the research article</p> <p><strong>Bioenergy-induced land-use change emissions with sectorally fragmented policies</strong></p> <p>by <em>Leon Merfort, Nico Bauer, Florian Humpenöder, David Klein, Jessica Strefler, Alexander Popp, Gunnar Luderer, Elmar Kriegler</em></p> <p>published in <em>Nature Climate Change </em>(2023).</p> <p><em><strong>ModelRuns_remind </strong></em>(directory) contains all REMIND model runs of the scenarios underlying the paper.</p> <p><em><strong>ModelRuns_magpie </strong></em>(directory) contains all MAgPIE model runs of the scenarios underlying the paper.</p> <p><em><strong>DataAnalysis </strong></em>(directory) contains an RStudio Project that was used for the data analysis and the generation of the figures of the paper. It additionally contains all figures and figure data that are shown in the paper.</p> <p><em><strong>ScenarioMapping.pdf</strong></em> contains the mapping from scenario names used in the paper to the model experiment names (in the model run directories).</p>
Urbanization and fragmentation have opposing effects on soil nitrogen availability in temperate forest ecosystems.
Nitrogen (N) availability relative to plant demand has been declining in recent years in terrestrial ecosystems throughout the world, a phenomenon known as N oligotrophication. The temperate forests of the northeastern U.S. have experienced a particularly steep decline in bioavailable N, which is expected to be exacerbated by climate change. This region has also experienced rapid urban expansion in recent decades that leads to forest fragmentation, and it is unknown whether and how these changes affect N availability and uptake by forest trees. Many studies have examined the impact of either urbanization or forest fragmentation on nitrogen (N) cycling, but none to our knowledge have focused on the combined effects of these co-occurring environmental changes. We examined the effects of urbanization and fragmentation on oak-dominated (Quercus spp.) forests along an urban to rural gradient from Boston to central Massachusetts (MA). At eight study sites along the urbanization gradient, plant and soil measurements were made along a 90 m transect from a developed edge to an intact forest interior. Rates of net ammonification, net mineralization, and foliar N concentrations were significantly higher in urban than rural sites, while net nitrification and foliar C:N were not different between urban and rural forests. At urban sites, foliar N and net ammonification and mineralization were higher at forest interiors compared to edges, while net nitrification and foliar C:N were higher at rural forest edges than interiors. These results indicate that urban forests in the northeastern U.S. have greater soil N availability and N uptake by trees compared to rural forests, counteracting the trend for widespread N oligotrophication in temperate forests around the globe. Such increases in available N are diminished at forest edges, however, demonstrating that forest fragmentation has the opposite effect of urbanization on coupled N availability and demand by trees.
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.