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720 results for “Portal”
Fig. 2 in Reptiles of Ecuador: a resource-rich online portal, with dynamic checklists and photographic guides
Fig. 2. Biogeographic regions of Ecuador. Source: https://bioweb.bio (modified from Sierra et al. 1999).
Fig. 1 in Reptiles of Ecuador: a resource-rich online portal, with dynamic checklists and photographic guides
Fig. 1. Histogram showing the description of reptile species present in Ecuador through time, from Linnaeuss 10th edition of Systema Naturae to the end of 2018. The number of species described per decade is presented above each bar.
Is There a Bias for the Nice Amongst the Pictures Submitted to the Online Portal?
<p>The dataset was used to examine the relation between the average abundance of peacock butterflies in Belgium by week and the number of pictures submitted in that week differentiated for the average state of wear of butterflies in that week.</p> <p>Furthermore, the dataset was used to examine the relation between the abundance of peacock butterflies in Belgium by week and the number of pictures submitted in that week for each of the flight peaks </p>
Repository Analytics and Metrics Portal (RAMP) 2021 data
<p>The Repository Analytics and Metrics Portal (RAMP) is a web service that aggregates use and performance use data of institutional repositories. The data are a subset of data from RAMP, the Repository Analytics and Metrics Portal (<a href="http://ramp.montana.edu/">http://rampanalytics.org</a>), consisting of data from all participating repositories for the calendar year 2021. For a description of the data collection, processing, and output methods, please see the "methods" section below.</p> <p>The record will be revised periodically to make new data available through the remainder of 2021.</p>
Is There a Bias for the Nice Amongst the Pictures Submitted to the Online Portal? (Part 2)
<p>Using this dataset, we examined</p> <p>- the relation between the average number of peacock butterflies in Belgium per record submitted (a measure of abundance) (by week, for weeks 10–44) and the percentage of the butterflies reported that are also illustrated with pictures.</p> <p>- the relation between the abundance of peacock butterflies in Belgium by week and the number of pictures submitted in that week differentiated for the average state of wear of butterflies in that week for the first, second, and third flight peak. </p> <p>- the relation between the condition of peacock butterflies in Belgium by week (weeks 10–44) and the proportion of records with pictures submitted in that week.</p> <p>- the relation between the condition of peacock butterflies in Belgium by week (weeks 10–44) and the proportion of butterflies illustrated with pictures submitted in that week.</p> <p> </p>
Pancreas cancer segmentation on portal-venous phase CTs
<p>This dataset consists of reference segmentations for 91 abdominal CTs delineating the pancreas and pancreas adenocarcinoma (PDA). The CTs were downloaded from freely available public archives for pancreas AI applications- <a href="https://wiki.cancerimagingarchive.net/display/Public/CPTAC-PDA#339482584dc5f53338634b35a3500cbed18472e0">The Cancer Imaging Archive (TCIA) CPTAC-PDA</a> (n=60) and <a href="https://drive.google.com/drive/folders/1HqEgzS8BV2c7xYNrZdEAnrHk7osJJ--2">Medical Segmentation Decathlon</a> (n=420) and evaluated by two radiologists for image quality, phase of image acquisition, presence of biliary stents and etiology of the pancreatic lesion. Volumetric pancreas and PDA segmentations was done on the portal-venous phase CTs on 3D Slicer software, by a radiologist with 4-year post residency experience. The PDA segmentations were subsequently verified by an expert abdominal radiologist with 11-years post residency experience. Segmentations were performed only on CTs that did not have expert segmentations as a part of original dataset.</p> <p>For the CPTAC-PDA dataset, segmentations were performed on 42 out of 60 CTs after excluding 18 CTs for the following reasons: presence of biliary stent (n=10), missing slices through pancreas (n=4), post-pancreatectomy status (n=1), incorrect region of scan (n=1) and unavailable portal-venous phase (n=2). </p> <p>For the MSD dataset, segmentations were performed on 49 out of 139 ‘testing’ subset CTs after excluding 90 CTs for the following reasons: presence of biliary stent (n=38), non-PDA pathology [n=36 for IPMN, n=14 for PNET) and post-treatment status (n=2). </p> <p>The uploaded files are in NIfTI format. In addition, a metadata has been uploaded containing the following information for each segmented CT: location of tumor in pancreas, T-stage, single largest diameter of tumor, presence or absence of pancreatic atrophy, dilatation of main pancreatic duct and common bile duct. </p> <p>This dataset has been referenced and elaborated in the paper-<a href="https://pubmed.ncbi.nlm.nih.gov/33840636/">https://pubmed.ncbi.nlm.nih.gov/33840636/</a>.</p>
GWOSC Event Portal Snapshots
<p>This repo contains "snapshots" of the information available through the GWOSC Event Portal API, as seen at:<br><a href="https://gwosc.org/eventapi">https://gwosc.org/eventapi</a> <br><br>Snapshots are made about a day after any updates to the Event Portal database, and the date of each snapshot can be seen in the file name. Each snapshot contains a tarball, with the following structure: <br><br>There is one directory for each tracked event list. Currently, snapshots track the GWTC cumulative catalog and "all events" event lists. <br><br>Within each directory, there is a file with the name of the event list ("e.g. GWTC.json"). This file contains a list of events. For each event in the list, there is an associated file with the event name ("e.g. GW150914-v3.json"), with more detailed information about that event. <br><br>The format of the JSON files is exactly as presented to users of the Event Portal API.</p> <p><strong>This change includes the new re-weighted PE results for all of GWTC-4.0 and the release of the special events GW241011 &GW241110. </strong></p> <p><br>Files changed this version: ['GW230518_125908-v1.json', 'GW230529_181500-v2.json', 'GW230601_224134-v1.json', 'GW230605_065343-v1.json', 'GW230606_004305-v1.json', 'GW230608_205047-v1.json', 'GW230609_064958-v1.json', 'GW230624_113103-v1.json', 'GW230627_015337-v1.json', 'GW230628_231200-v1.json', 'GW230630_125806-v1.json', 'GW230630_234532-v1.json', 'GW230702_185453-v1.json', 'GW230704_021211-v1.json', 'GW230704_212616-v1.json', 'GW230706_104333-v1.json', 'GW230707_124047-v1.json', 'GW230708_053705-v1.json', 'GW230708_230935-v1.json', 'GW230709_122727-v1.json', 'GW230712_090405-v1.json', 'GW230723_101834-v1.json', 'GW230726_002940-v1.json', 'GW230729_082317-v1.json', 'GW230731_215307-v1.json', 'GW230803_033412-v1.json', 'GW230805_034249-v1.json', 'GW230806_204041-v1.json', 'GW230811_032116-v1.json', 'GW230814_061920-v1.json', 'GW230814_230901-v1.json', 'GW230819_171910-v1.json', 'GW230820_212515-v1.json', 'GW230824_033047-v1.json', 'GW230825_041334-v1.json', 'GW230831_015414-v1.json', 'GW230904_051013-v1.json', 'GW230911_195324-v1.json', 'GW230914_111401-v1.json', 'GW230919_215712-v1.json', 'GW230920_071124-v1.json', 'GW230922_020344-v1.json', 'GW230922_040658-v1.json', 'GW230924_124453-v1.json', 'GW230927_043729-v1.json', 'GW230927_153832-v1.json', 'GW230928_215827-v1.json', 'GW230930_110730-v1.json', 'GW231001_140220-v1.json', 'GW231004_232346-v1.json', 'GW231005_021030-v1.json', 'GW231005_091549-v1.json', 'GW231008_142521-v1.json', 'GW231014_040532-v1.json', 'GW231018_233037-v1.json', 'GW231020_142947-v1.json', 'GW231028_153006-v1.json', 'GW231029_111508-v1.json', 'GW231102_071736-v1.json', 'GW231104_133418-v1.json', 'GW231108_125142-v1.json', 'GW231110_040320-v1.json', 'GW231113_122623-v1.json', 'GW231113_200417-v1.json', 'GW231114_043211-v1.json', 'GW231118_005626-v1.json', 'GW231118_071402-v1.json', 'GW231118_090602-v1.json', 'GW231119_075248-v1.json', 'GW231123_135430-v2.json', 'GW231127_165300-v1.json', 'GW231129_081745-v1.json', 'GW231206_233134-v1.json', 'GW231206_233901-v1.json', 'GW231213_111417-v1.json', 'GW231221_135041-v1.json', 'GW231223_032836-v1.json', 'GW231223_075055-v1.json', 'GW231223_202619-v1.json', 'GW231224_024321-v1.json', 'GW231226_101520-v1.json', 'GW231230_170116-v1.json', 'GW231231_154016-v1.json', 'GW240104_164932-v1.json', 'GW240107_013215-v1.json', 'GW240109_050431-v1.json', 'GWTC.json']<br><br>Files added or removed this version: [] [] <br><br><br>Files changed this version: ['GW230518_125908-v1.json', 'GW230529_181500-v2.json', 'GW230601_224134-v1.json', 'GW230605_065343-v1.json', 'GW230606_004305-v1.json', 'GW230608_205047-v1.json', 'GW230609_064958-v1.json', 'GW230624_113103-v1.json', 'GW230627_015337-v1.json', 'GW230628_231200-v1.json', 'GW230630_125806-v1.json', 'GW230630_234532-v1.json', 'GW230702_185453-v1.json', 'GW230704_021211-v1.json', 'GW230704_212616-v1.json', 'GW230706_104333-v1.json', 'GW230707_124047-v1.json', 'GW230708_053705-v1.json', 'GW230708_230935-v1.json', 'GW230709_122727-v1.json', 'GW230712_090405-v1.json', 'GW230723_101834-v1.json', 'GW230726_002940-v1.json', 'GW230729_082317-v1.json', 'GW230731_215307-v1.json', 'GW230803_033412-v1.json', 'GW230805_034249-v1.json', 'GW230806_204041-v1.json', 'GW230811_032116-v1.json', 'GW230814_061920-v1.json', 'GW230814_230901-v1.json', 'GW230819_171910-v1.json', 'GW230820_212515-v1.json', 'GW230824_033047-v1.json', 'GW230825_041334-v1.json', 'GW230831_015414-v1.json', 'GW230904_051013-v1.json', 'GW230911_195324-v1.json', 'GW230914_111401-v1.json', 'GW230919_215712-v1.json', 'GW230920_071124-v1.json', 'GW230922_020344-v1.json', 'GW230922_040658-v1.json', 'GW230924_124453-v1.json', 'GW230927_043729-v1.json', 'GW230927_153832-v1.json', 'GW230928_215827-v1.json', 'GW230930_110730-v1.json', 'GW231001_140220-v1.json', 'GW231004_232346-v1.json', 'GW231005_021030-v1.json', 'GW231005_091549-v1.json', 'GW231008_142521-v1.json', 'GW231014_040532-v1.json', 'GW231018_233037-v1.json', 'GW231020_142947-v1.json', 'GW231028_153006-v1.json', 'GW231029_111508-v1.json', 'GW231102_071736-v1.json', 'GW231104_133418-v1.json', 'GW231108_125142-v1.json', 'GW231110_040320-v1.json', 'GW231113_122623-v1.json', 'GW231113_200417-v1.json', 'GW231114_043211-v1.json', 'GW231118_005626-v1.json', 'GW231118_071402-v1.json', 'GW231118_090602-v1.json', 'GW231119_075248-v1.json', 'GW231123_135430-v2.json', 'GW231127_165300-v1.json', 'GW231129_081745-v1.json', 'GW231206_233134-v1.json', 'GW231206_233901-v1.json', 'GW231213_111417-v1.json', 'GW231221_135041-v1.json', 'GW231223_032836-v1.json', 'GW231223_075055-v1.json', 'GW231223_202619-v1.json', 'GW231224_024321-v1.json', 'GW231226_101520-v1.json', 'GW231230_170116-v1.json', 'GW231231_154016-v1.json', 'GW240104_164932-v1.json', 'GW240107_013215-v1.json', 'GW240109_050431-v1.json', 'allevents.json']<br><br>Files added or removed this version: [] ['GW241011_233834-v1.json', 'GW241110_124123-v1.json'] </p>
Nicosia, Cyprus. Bedesten, main north portal, detail.
<p>Nicosia, Cyprus. Bedesten, main north portal, detail of archivolts, niches and marble lintel, as restored in 2010.</p>
Dataset: Relevance and usability evaluation in a data portal for biodiversity research
<p>Supplementary material for a relevance and usability evaluation in a data portal for biodiversity research.</p> <p>Data portal: GFBio (<a href="https://www.gfbio.org">https://www.gfbio.org</a>)</p> <p>Evaluation time:<span> February 2016 (at that time the search index consisted of ~ 2 Mio datasets)</span></p> <p>Eight domain experts rated the Top25 search results of 16 provided search questions on a 7-point-Likert scale from 0 (irrelevant) to 6 (highly relevant). Afterwards, we asked the users to provide and rate up to two own queries.</p> <p><span>The users also rated 28 statements in a subsequent usability evaluation on a 5-point Likert scale from 'completely disagree' to 'highly agree'. For some statements, only binary ratings were given.</span></p>
VIGET: A web portal for study of vaccine-induced host responses based on Reactome pathways and ImmPort data
<p>Host responses to vaccines are complex but important to investigate. To facilitate the study, we have developed a tool called Vaccine Induced Gene Expression Analysis Tool (VIGET), with the aim to provide an interactive online tool for users to efficiently and robustly analyze the host immune response gene expression data collected in the ImmPort database. VIGET allows users to select vaccines, choose ImmPort studies, set up analysis models by choosing confounding variables and two groups of samples having different vaccination times, and then perform differential expression analysis to select genes for pathway enrichment analysis and functional interaction network construction using the Reactome’s web services. VIGET provides features for users to compare results from two analyses, facilitating comparative response analysis across different demographic groups. VIGET uses the Vaccine Ontology (VO) to classify various types of vaccines such as live or inactivated flu vaccines, yellow fever vaccines, etc. Different variables are classified using our Vaccine Investigation Ontology (VIO). To showcase the utilities of VIGET, we conducted a longitudinal analysis of immune responses to yellow fever vaccines and found an intriguing complex activity response pattern of pathways in the immune system annotated in Reactome, demonstrating that VIGET is a valuable web portal that supports effective vaccine response studies using Reactome pathways and ImmPort data. The portal has been deployed at <a href="https://viget.violinet.org/">https://viget.violinet.org/</a>.</p>
HoloFood Data Portal Samples
<p>HoloFood data portal table with full list of samples contained within the portal</p>
TCIA/TGCA-LIHC portal venous phase CT-scans for cirrhosis classification
<p>These are the scans provided by The Cancer Genome Atlas Liver Hepatocellular Carcinoma (TCGA-LIHC) data collection, published by The Cancer Imaging Archive <a href="https://wiki.cancerimagingarchive.net/pages/viewpage.action?pageId=6885436">here</a> and used in our <a href="https://arxiv.org/abs/2307.04617">MICCAI 2023 paper</a>. You can find the GitHub of the paper <a href="https://arxiv.org/abs/2307.04617">here</a>.</p> <p>All the data are submitted to <a href="https://wiki.cancerimagingarchive.net/display/Public/Data+Usage+Policies+and+Restrictions">TCIA data usage policy</a> and must be strictly respected by future users.</p> <p>The selected scans are in portal venous phase, which is the phase that is clinically used to identify cirrhosis. In this list, you will find all the patients available in the TCGA-LIHC database, regardless of the availability of the annotations or the duplicated patients at different dates. In the dataframe provided in the Git repo, you will find the dataframe with one scan per patient (only at the first date), and with the Ishak score for each patient provided in the TCIA/TGCA database, which are the exact ones that we used in the paper. The names of the scans in the dataframe match exactly the ones below, to ease reproducibility. </p> <p>The scans are already pre-processed and are the exact ones that we use in evaluation phase in the published paper.</p>
Drug Repurposing Central Portal Usage and Geolocation Statistics
<p>Record-level usage and geolocation statistics by country and organization for the Drug Repurposing Central portal.</p> <p>Covered time frame is from October 2021 to August 2024.</p>
High Tech and High Touch (HT2): Transforming Patient Engagement Through Portal Technology at the Bedside
ClinicalTrials.gov study NCT02943109. IPD Sharing: YES. Countries: 1. Publications: 3.
Repository Analytics and Metrics Portal (RAMP) 2021 data
Open the record for dataset details and reuse information.
Repository Analytics and Metrics Portal (RAMP) 2020 data
Open the record for dataset details and reuse information.
Lab Standards for Benthic Macroinvertebrate Sequencing (repackaging of occurrences published by the NEON Biorepository Data Portal)
These DNA extracts are community standard or mock standard of macroinvertebrate DNA created at NEON headquarters, and used as a positive control for macroinvertebrate and zooplankton metabarcoding data.
Semantic links between selected CSV datasets harvested by the European Data Portal and the DBpedia knowledge graph
<p>These dataset contains the results of the interlinking process between selected csv datasets harvested by the European DAta Portal and the DBpedia knowledge graph. </p> <p>We aim at answering the following questions:<br> What are the more popular column types? This will provide hindsight about what the datasets hold and how they can be joined. It will also provide hindsight on what specific linking schemes could be applied in future elements.<br> What datasets have columns of the same type? This will suggest datasets that may be similar or related.<br> What entities appear in most datasets (co-referent entities)? This will suggest entities for which more data is published.<br> What datasets share a particular entity? This will suggest datasets that may be joined, or are related through that particular entity</p> <p>Results are provided as augmented tables, that contain the columns of the original csv, plus a metadata file in JSON-LD format. The metadata files can be loaded in an RDF-store and queried.</p> <p>Refer to the accompanying report of activities for more details on the methodolog and how to query the dataset.</p> <p><br> </p>
Metabolomics.Info People Portal Data as of 8 July 2020
<p>Metabolomics.Info People Portal Data as of 8 July 2020 in <a href="https://www.w3.org/TR/n-triples/">N-Triples</a> format.</p>
Metabolomics.Info People Portal Data as of 8 September 2020
<p>Metabolomics.Info People Portal Data as of 8 September 2020 in <a href="https://www.w3.org/TR/n-triples/">N-Triples</a> format.</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.