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.
3,121
datasets available to search
ShareScore release 0.9.0
Dataset results
3,121 results for “Resources”
Online Resources Chapter 3 - Decomposition of standing litter biomass in newly constructed wetlands associated with direct effects of sediment and water characteristics and the composition and activity of the decomposer community using Phragmites australis as a single standard substrate
<p>Online Resources to Chapter 3 "Decomposition of standing litter biomass in newly constructed wetlands associated with direct effects of sediment and water characteristics and the composition and activity of the decomposer community using Phragmites australis as a single standard substrate" of PhD thesis from Ciska Overbeek, "Peat formation on a former landfill - Production and decomposition of aquatic pioneer vegetation". </p> <p>Published by Overbeek et al in 2019 in Wetlands 39(1): 113-125. https://doi.org/10.1007/s13157-018-1081-y. </p>
Ancestral Genomes: a resource for reconstructed ancestral genes and genomes across the tree of life
<p>For each ancestral gene, we assign a stable identifier, and provide additional information designed to facilitate analysis: an inferred name (based on its descendants in extant genomes), a reconstructed protein sequence, a set of inferred Gene Ontology (GO) annotations, and a “proxy gene” for each ancestral gene, defined as the least-diverged descendant of the ancestral gene in a given extant genome.</p>
Comparing the Use of Research Resource Identifiers and Natural Language Processing for Citation of Databases, Software and Other Digital Artifacts
<p><strong>The Research Resource Identifier was introduced in biomedicine in 2014 to more precisely identify the reagents and tools used in published biomedical research and to track use of tools across the breadth of the biomedical literature. The current RRID specification covers key biological and digital resources. Authors are instructed to include an RRID after the first mention of any resource used. RRIDs are designed to be easy to find using a full text search search engine. </strong></p> <p><strong>The published data sets were used in our comparative study where comparing the output of our RRID curation workflow with the outputs of automated text mining systems that have been used to identify mentions of resources in the text of publications. All files in tab-separated format (tsv). </strong></p> <p><strong>Scibot.tsv: Records of the RRID curation workflow using SciBot. </strong></p> <p>Each record shows that a resource RRID was identified in paper PMID with curator tags (Tag1, Tag2, both optional)</p> <p><strong> </strong>PMID: Pubmed ID</p> <p> RRID: Research Resource Identifier</p> <p> Tag1: Curator tags (optional)</p> <p> Tag2: Additional curator tags (optional)</p> <p><strong>rdwsorted.tsv: Records of the output from RDW, a text mining software. </strong></p> <p>RDW identifies mentions of research resources in papers. Each record shows that a resource RRID was identified in paper PMID.</p> <p><strong> </strong>PMID: Pubmed ID</p> <p> RRID: Research Resource Identifier</p> <p><strong>rridbyrdw05282019.tsv: Records of the output of the RRID-by-RDW in RDW. </strong></p> <p>RRID-by-RDW is a component in RDW that identifies mentions of research resources in papers by matching patterns of RRID specifications. Each record shows that a resource RRID was identified in paper PMID.</p> <p><strong> </strong>PMID: Pubmed ID</p> <p> RRID: Research Resource Identifier</p> <p> Context: Snippet where the RRID was found</p> <p><strong>resource_metadata20190418.tsv: Metadata of RRIDs</strong></p> <p>This file contains metadata of resources and their RRIDs. See file header for column definitions.</p> <p><strong>RRIDCUR-definitions.tsv: Definitions of curator tags used in Scibot.tsv.</strong></p> <p><strong> </strong>tag: Tag name</p> <p> definition: Definition of the tag</p>
Resources for BMF CP77
<p>These are the resources for completing BMF CP77. </p>
Fig. 1 in South American Sea Lions Otaria flavescens, a good indicator of relative spatial and temporal changes in the distribution and abundance of marine resources?
Fig. 1. Study area showing the location of the rookeries analysed at RÍo Negro Province, Argentina.
OWL2VecOA Resources for Bio-ML 2023
<p>1. The repository <a href="../api/records/13309009/draft/files/omim2ordo_exp_results.zip/content" target="_blank" rel="noopener noreferrer">omim2ordo_exp_results.zip</a> contains results of applying our extended OWL2VecOA method to biomedical ontology alignments, specifically focusing on the alignment between OMIM and ORDO. </p> <p>The specifications are: walk depth = 3, embedding size =100, iteration =70, walker iteration k=20. </p> <p>The alignment process utilized a combined approach, integrating results from two well-established ontology matching systems: AML and LogMap. Specifically the following input configurations were used:</p> <ul> <li>Train.tsv (from BIO-ML Track 2023) combined with the intersection of AML and LogMap alignments</li> <li>Train.tsv combined with the union of AML and LogMap alignments</li> <li>Train.tsv combined with LogMap alignments (Logmapping)</li> <li>Train.tsv combined with LogMap alignments (Anchor Mappings)</li> <li>Train.tsv combined with LogMap alignments (OverEstimation Mappings)</li> <li>Train.tsv only</li> </ul> <p>2. The repository "<a href="../api/records/13309009/draft/files/owl2vecstart_initres_2&3.zip/content" target="_blank" rel="noopener noreferrer">owl2vecstart_initres_2&3.zip</a>" contains the results of applying the initial version of the OWL2VecStar method to biomedical ontology alignments 2023 : OMIM-ORDO (o2o), NCIT-DOID (ncit2doid), SNOMED-NCIT-N (s2nn), and SNOMED-NCIT-PHARMA (sn2p) with walk depths of 2 and 3. Similarly, the repository "<a href="../api/records/13309009/draft/files/owl2vecstar_initres_4&5.zip/content" target="_blank" rel="noopener noreferrer">owl2vecstar_initres_4&5.zip</a>" contains analogous results, but with walk depths of 4 and 5 </p> <p>3. The repository "<a href="../api/records/13309009/draft/files/owl2vecOA_results_2&3.zip/content" target="_blank" rel="noopener noreferrer">owl2vecOA_results_2&3.zip</a>" contains the results of applying our extended OWL2VecOA method to the BIO-ML datasets, utilizing walk depths of 2 and 3.</p> <p>The results package contains three key components of each input data: Embedding file, Cosine Similarity Scores file and Euclidian Distance Scores file. The embedding files can be used for various ML downstream tasks, while the similarity and distance scores provide direct measures of entity relatedness, potentially useful for ontology alignment, entity matching, or other biomedical informatics applications. </p>
Diptera of Central America: Families (ZADBI.xlsx) [V2 resource ID = 678]
The Diptera, or true flies, are a huge group of insects that are familiar to most people. Worldwide there are about 153,000 validly described specie of flies, making them about 10% of the known diversity of life. Experts believe that most species of flies still have not been collected or described, however, and if all were known the group could number a million or more. Such an enormous number of species, coupled with their small body size, and the paucity of researchers working on them, makes Diptera one of the true frontiers of systematic research. Flies are found worldwide on every continent, with few species living in Antarctica and with tremendous numbers in tropical regions. There is no analysis comparing the number of species of Diptera from different continents or biogeographical regions, but use of the existing Diptera catalogs (some of which are badly out of date) leads to the impression that the Palearctic (Old World temperate) Region is the area with the most species of flies. This is purely an artifact of research effort, however, with generations of European dipterists working on their local fauna while tropical regions remained virtually untouched. An informal survery of the some of the authors of chapters in the Manual of Central American Diptera reinforces the more logical conclusion that the New World tropics, including Central America, are the most species-rich areas of the world for flies. <p></p>http://phorid.net/zadbi
Diptera of Central America: Specimen photos (Diptera) [V2 resource ID = 683]
The Diptera, or true flies, are a huge group of insects that are familiar to most people. Worldwide there are about 153,000 validly described specie of flies, making them about 10% of the known diversity of life. Experts believe that most species of flies still have not been collected or described, however, and if all were known the group could number a million or more. Such an enormous number of species, coupled with their small body size, and the paucity of researchers working on them, makes Diptera one of the true frontiers of systematic research. Flies are found worldwide on every continent, with few species living in Antarctica and with tremendous numbers in tropical regions. There is no analysis comparing the number of species of Diptera from different continents or biogeographical regions, but use of the existing Diptera catalogs (some of which are badly out of date) leads to the impression that the Palearctic (Old World temperate) Region is the area with the most species of flies. This is purely an artifact of research effort, however, with generations of European dipterists working on their local fauna while tropical regions remained virtually untouched. An informal survery of the some of the authors of chapters in the Manual of Central American Diptera reinforces the more logical conclusion that the New World tropics, including Central America, are the most species-rich areas of the world for flies. <p></p>http://phorid.net/zadbi
Harmful Phytoplankton Resource: Harmful Phytoplankton Project
This is a guide for identifying harmful marine dinoflagellates and diatoms (primarily from UK waters). The images in this guide are derived from two sources. Some were collected during routine ecological sampling at the Port Erin Marine Laboratory. Many others were provided by scientists from all over the world. We address ecologists who are unfamiliar with dinoflagellate and diatom taxonomy as well as students and amateur naturalists; we also hope to provide useful data for experts in the field. The guide focuses on Lugol__s iodine fixed samples. Lugol__s is a standard, relatively inexpensive, and safe method used for phytoplankton collection (Gifford & Caron 2000). In addition we will include photographs of calcofluor stained cells. This simple and inexpensive fluorescent stain allows the visualisation of the cellulose plate boundaries which are vital for the identification of many armoured dinoflagellates. Additionally, we provide data from taxonomic-morphological studies and from ecological studies. The combination of these data should make identification of at least some harmful phytoplankton possible. While much of the material in this site is derived from our own research, we also had a number of collaborators who contributed images, texts and last but not least time.
Miscellaneous: Hymenoptera resource DwCA (664)
<p></p>https://eol-jira.bibalex.org/browse/TRAM-787 This is a database from which the print version (at least 9 volumes) of the Catalogue of Hymenoptera was generated. It includes significant nomenclatural information but also includes ecology and geographic distribution snippets as well as interactions such as parasite, predator and pollination relationships.
Soapberry Bugs resource June 2011: Soapberry bugs of the world
Small but powerful, soapberry bugs are quickly adapting as humans alter the world. These beautiful insects artfully show how evolution happens every day and why it matters. Soapberry bugs are easy to understand, observe, and study (just ask the scientists who study them!). <p></p>http://soapberrybug.org/
test files: Global Test Resource
For testing of harvesting code<p></p>see <p></p>https://docs.google.com/document/d/1YJqkoqTofldj5w6IcA29Soeah75NBVsqTtthAzFIjIs/edit
Freshwater and Marine Image Bank, University Libraries, U Washington: Original zip resource
The Freshwater and Marine Image Bank is a digital collection from the University of Washington Libraries of images related to freshwater and marine topics, in all their diversity. It includes images of fish, shellfish, and marine mammals, pictures of fish hatcheries and dams and vessels, materials related to polar exploration, regional and traditional fisheries, and limnological (freshwater) subjects. Its scope is global. <p></p>http://content.lib.washington.edu/fishweb/index.html<p></p>
Tambourine Mountain: Resource (106) DwCA
Since 1998, Peter Kuttner has been creating a video artwork celebrating the species rich biodiversity of his __one small place on earth__, Tamborine Mountain in sub-tropical South East Queensland, Australia. The mountain is a separate place, a small plateau surrounded by a wooded escarpment. Any project devoted to the subject of biodiversity must acknowledge that it is a 24/7 proposition. Thus the resource includes many hours of night footage filmed in the rainforest with the aid of a spot-light. A real strength of the project is that all the species were filmed on the mountain and nowhere else. <p></p>http://www.biodiversity.com.au/<p></p>
Natural History Services: Resource (145) DwCA
Natural History Services (NHS) provides nature video for educational purposes. Over the last decade, using standard and high definition cameras, I have created a video library of North American and Central American nature media. All post production work including editing, graphics, and formatting are done by NHS. A variety of video formats, including those suitable for online downloading and streaming, are available. <p></p>http://www.rkwalton.com/<p></p>
Marine Life in the Koh Phangan vicinity, Thailand: Resource (729) DwCA
<p>We__ve spent several years photographing and attempting to classify the marine life of our area, to provide an accurate reference for our divers and a record of a dwindling resource.</p> <p> </p> <p>http://www.chaloklum-diving.com/marine-life-guide-koh-phangan</p> <p> </p>
Wikipeixes: Resource (676) DwCA
Este é o wikipeixes, um site colaborativo com o intento de reunir informações sobre as espécies de peixes neotropicais. Esta é uma versão ainda em estágio inicial que, aos poucos, poderá ganhar volume com a adesão dos colaboradores (ictiólogos, aquaristas, pescadores e demais interessados no assunto). . This is the wikipeixes, a collaborative site with the intent to gather information on the Neotropical fish species. This is a version still in early stages that gradually can grow up with the colaboration of ichthyologists, hobbyists and others interested in the subject.<p></p>
Resources for BMF CP80
<p>These are the resources for completing BMF CP80. </p>
Data, code snippets, and resources of BMF CP51: Political ideology, climate change belief, and potable water reuse willingness in the USA
<p>The dataset, data description, code snippets, and figures related to the Bayesian analysis of BMF CP 51 on SM3D Portal were uploaded to Zenodo to enhance transparency and assist in later replication and validation (https://mindsponge.info/posts/246). The original dataset can be found at: https://www.sciencedirect.com/science/article/pii/S2352340920301839</p>
Archetype-based Life-Cycle Assessment of National Residential Building Stocks: Resource Use and Greenhouse Gas Emissions in Western Asia and Northern Africa
<p><strong>Dataset Name:</strong><br><em>Literature Data and Archetype Parameter Sheets for the publication, named Archetype-based Life-Cycle Assessment of National Residential Building Stocks: Resource Use and Greenhouse Gas Emissions in Western Asia and Northern Africa.</em></p> <p><strong>Description:</strong><br>This dataset includes Excel sheets containing literature sources and archetypal data on Western Asian and North African countries' residential dwelling typologies. As well as Vacancy rates used and simulation results.</p> <p><strong>Files:</strong><br>The following files are included in the dataset:</p> <ul> <li> <em>[CountryName]_LiteratureSources.xlsx:</em> Excel sheet containing literature sources and references,</li> <li> <em>[CountryName]_ArchetypeParameters.xlsx</em>: Archetype models' semantic, geometric, and technical data used in the generation of energy models,</li> <li><em> VacantHouses.xlsx</em>: Vacant house rates for the countries, the found articles on the web, literature sources, etc.,</li> <li> <em>Resource Use Results:</em> BuildME Simulation Results</li> </ul> <p><strong>Usage:</strong><br>The dataset is intended for researching and analyzing the Western Asian and North African countries' residential buildings. The literature sources included in the [CountryName]_LiteratureSources.xlsx and [CountryName]_ArchetypeParameters.xlsx files can be used to verify, support, or reproduce the research findings.</p> <p><strong>License:</strong><br>The dataset is licensed under Creative Commons Attribution 4.0 International.</p> <p><strong>Citation:</strong><br>If you use this dataset in your research, please cite it as follows and contact the corresponding author:</p> <p>Akin, Sahin, Aida Eghbali, Chibuikem Chrysogonus Nwagwu, and Edgar Hertwich. 2024. “Archetype-based Life-Cycle Assessment of National Residential Building Stocks: Resource Use and Greenhouse Gas Emissions in Western Asia and Northern Africa” https://doi.org/10.5281/zenodo.13380340.</p> <p><strong>Contact:</strong><br>The archetypes' energy models (DesignBuilder or IDF files) can be provided on request. If you have any questions or comments about the dataset, please contact <strong>sahin.akin@ntnu.no, the corresponding author.</strong></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.