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.
1,416
datasets available to search
ShareScore release 0.9.0
Dataset results
1,416 results for “Evidence Base”
Fig. 11. Genitalia 3 in Telenomus alecto (Crawford) (Hymenoptera: Scelionidae), parasitoid of Diatraea magnifactella Dyar (Lepidoptera: Crambidae) from Jalisco, Mexico: a study based on morphological and molecular evidence
Fig. 11. Genitalia 3 (CIBE 18-029).
Figure 3 in Hygrobates calabricus, a new species of water mite (Acariformes, Hydrachnidia, Hygrobatidae) from Italy, based on morphological and molecular evidence
Figure 3. Sample site of Hygrobates calabricus sp. nov. in Calabria (South Italy).
Fig. 1 in Evidence of predation pressure on sensitive species by raccoons based on parasitological studies
Fig. 1. Geographic origin of examined Procyon lotor (total N = 108 raccoons).
FRB Mock Catalog and Reproduction Package for "Birth and Evolution of Fast Radio Bursts: Strong Population-Based Evidence for a Neutron-Star Origin"
<h3>Quickstart: FRB Mock Catalog</h3> <p>A simulated 1-day catalog of one-off FRBs, that allows users to access the FRB population without installing the entire frbpoppy package. Download and unzip 1_Day_FRB_Sky_on_Earth.txt.zip (175 MB). This human and machine readable file contains 3.5E6 FRBs that are brighter than 0.01 Jy ms, the best limit in one-off FRB detection currently. The simulated catalog is produced by the perfect telescope in frbpoppy, free of selection effects, that observed 4pi of sky for 24 hrs, with minimum detectable fluence 0.01 Jy ms, for the best-fit no-delay SFR model. This file can be read using the accompanying jupyter notebook "starting_with_mock_catalog.ipynb".</p> <p>If you use this, please cite Wang & van Leeuwen 2024 (A&A), <a href="https://doi.org/10.1051/0004-6361/202450673">https://doi.org/10.1051/0004-6361/202450673</a></p> <h3>Reproduction package for the paper "Birth and Evolution of Fast Radio Bursts: Strong Population-Based Evidence for a Neutron-Star Origin"</h3> <p>ReproductionPackage.zip is a basic reproduction package for the paper "Birth and Evolution of Fast Radio Bursts: Strong Population-Based Evidence for a Neutron-Star Origin" by Wang & van Leeuwen (2024).</p> <p> * arXiv: [<a href="https://arxiv.org/abs/2405.06281">2405.06281</a>] <br> * DOI: [<a href="https://doi.org/10.1051/0004-6361/202450673">10.1051/0004-6361/202450673</a>] </p> <h3>Installation</h3> <p>First pull or download and `frbpoppy` from <https://github.com/TRASAL/frbpoppy>.<br>Then download `ReproductionPackage.zip` and extract it starting in the frbpoppy/ base directory.<br>The scripts to produce the Figures are found in folder `frbpoppy/tests/markov_chain_monte_carlo/`.<br>The data used for these Figures resides in folder `frbpoppy/data/populations/mcmc/`.</p> <h3>Software</h3> <p>The methods and software packages used to produce the results are listed in the paper (including links to the relevant publications and/or packages):<br> FRBPOPPY: <https://github.com/TRASAL/frbpoppy><br> TRASAL: <https://github.com/TRASAL></p> <h3>Raw Data</h3> <p>The data are publicly available at<br> https://www.wis-tns.org/</p> <p> </p>
Machine learning-based evidence and attribution mapping of 100,000 climate impact studies - Data
<p>Data for the paper Machine learning-based evidence and attribution mapping of 100,000 climate impact studies</p> <p><strong>Document Metadata</strong></p> <p>0c_doc_info.csv contains basic document metadata for each document considered in our study</p> <p><strong>Predictions</strong></p> <p>In each predictions file, 1 refers to a document hand-labelled as belonging to a category, and 0 refers to a document hand-labelled as not belonging to a category. All values in between are predicted values, where for values greater than 0.5, a document is considered likely to belong to the given category.</p> <p>1_document_relevance.csv contains the predicted relevance of a document to the study.</p> <p>1_driver_predictions.csv contains the predicted climate driver of each document.</p> <p>1_impact_predictions.csv contains the predicted impact type of each document</p> <p><strong>Geographical data</strong></p> <p>Place_df.csv contains a row for each geographical entity automatically extracted from each study</p> <p>Study_gridcell_2.5.csv contains a row matching each study with each grid cell covered by the study’s smallest mentioned geographical entity</p> <p><strong>Merged data</strong></p> <p>2_study_da.csv contains a row for each study describing the aggregated detection and attribution characteristics of the grid cells the study refers to</p> <p>2_merged_da_data.csv contains a row for each grid cell describing the attribution categories and the number of weighted grid cells for each climate driver.</p>
Figure 2 in Two new species from the Hygrobates nigromaculatus-complex (Acariformes, Hydrachnidia, Hygrobatidae), based on morphological and molecular evidence
Figure 2 Results of Automatic Barcode Gap Discovery (ABGD) analysis for the COI sequences
A range-wide postglacial history of Swiss stone pine based on molecular markers and palaeoecological evidence
<p><strong><span>Aim: </span></strong><span>Knowing a species' response to historical climate shifts helps understanding its perspectives under global warming.<strong> </strong>We infer the hitherto unresolved postglacial history of <em>Pinus cembra.</em> Using independent evidence from genetic structure and demographic inference of extant populations, and from palaeoecological findings, we derive putative refugia and re-colonisation routes.</span></p> <p><strong><span>Location: </span></strong><span>European Alps and Carpathians.</span></p> <p><strong><span>Taxa: </span></strong><em><span>Pinus cembra.</span></em></p> <p><strong><span>Methods: </span></strong><span>We genotyped nuclear and chloroplast microsatellite markers in nearly 3,000 individuals from 147 locations across the entire natural range of <em>P. cembra</em>. Spatial genetic structure (Bayesian modelling) and demographic history (Approximate Bayesian Computation) were combined with palaeobotanical records (pollen, macrofossils) to infer putative refugial areas during the Last Glacial Maximum (LGM) and re-colonisation of the current range.</span></p> <p><strong><span>Results: </span></strong><span>We found distinct spatial genetic structure, despite low genetic differentiation even between the two disjunct mountain ranges. Nuclear markers revealed five genetic clusters aligned East–West across the range, while chloroplast haplotype distribution suggested nine clusters. Spatially congruent separation at both marker types highlighted two main genetic lineages in the East and West of the range. Demographic inference supported early separation of these lineages dating back to a previous interstadial or interglacial <em>c.</em> 210,000 years ago. Differentiation into five biologically meaningful genetic clusters likely established during post-glacial re-colonisation.</span></p> <p><strong><span>Main conclusions: </span></strong><span>Combining genetic and palaeoecological evidence suggests that <em>P. cembra</em> primarily survived the LGM in "cold period" refugia south of the Central European Alps and near the Carpathians, from where it expanded during the Late Glacial into its current Holocene "warm period" refugia. This colonisation history has led to the distinct East–West structure of five genetic clusters. The two main genetic lineages likely derived from ancient divergence during an interglacial or interstadial. The respective contact zone (Brenner line) matches a main biogeographic break in the European Alps also found in herbaceous alpine plant species.</span></p>
Source Data: No evidence for a common blood microbiome based on a population study of 9,770 healthy humans
<p>Source data for manuscript titled: 'No evidence for a common blood microbiome based on a population study of 9,770 healthy humans' (https://www.biorxiv.org/content/10.1101/2022.07.29.502098v1)</p>
Data from: Three newly described species of Ziziphus from Maharashtra, India based on morphological and molecular evidence
<p>Three new species of <em>Ziziphus</em> (Rhamnaceae) from Maharashtra, India, <em>Z. bhandarii</em> Gholave & S.P.Gaikwad, <em>Z. naikii</em> Gholave & S.P.Gaikwad, and <em>Z. bhansalii</em> Gholave & S.P.Gaikwad are described here. These species occur in isolated fragments of the Deccan thorn scrub forest ecoregion on the Deccan plateau. Their placement in <em>Ziziphus</em> is confirmed by molecular analyses combining ITS and <em>trnL-F</em> regions. Given this phylogeny is the most robust to date of <em>Ziziphus</em>, a previously proposed intrageneric classification was tested, and the classification was not supported suggesting a need for additional investigations in this genus. The new species are most closely related to three Indian species, <em>Z. horrida</em> Roth, <em>Z. xylopyrus</em> (Retz.) Willd., and <em>Z. caracutta</em> Buch.-Ham. ex Roxb, respectively, which are morphologically similar and sympatric, and are distinguishable from known species based on several vegetative and reproductive characteristics presented here. A diagnostic key to the <em>Ziziphus</em> species known to occur in Maharashtra is provided.</p>
Motor sources of dual-task interference: Evidence for effector-based prioritization in dual-task control
<p>Data of "Motor sources of dual-task interference: Evidence for effector-based prioritization in dual-task control", Hoffmann, Pieczykolan, Koch, & Huestegge.</p> <p>Dual-task costs in error rates and reaction times in six pairwise combination groups of effector systems.</p>
Increasing Evidence-based Clinical Practices in VA
ClinicalTrials.gov study NCT00366028. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Pragmatic, Randomized Evaluation of Statin Active Choice to Reach Improved Outcomes Based on Evidence
ClinicalTrials.gov study NCT03021759. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Testing an Evidence-Based Supported Employment Model in Autistic Young Adults
ClinicalTrials.gov study NCT06829264. IPD Sharing: NO. Countries: 1. Publications: 5.
Effects of a Package of Evidence-based Interventions and Implementation Strategies Based on WHO PEN for People Living With HIV and Cardio-metabolic Conditions in Lusaka, Zambia
ClinicalTrials.gov study NCT05950919. IPD Sharing: YES. Countries: 1. Publications: 1.
Implementing a Skills Training Evidence-Based Treatment for Posttraumatic Stress Disorder in Primary Care
ClinicalTrials.gov study NCT04937504. IPD Sharing: NO. Countries: 1. Publications: 1.
A Technology-Enhanced Approach for Implementing Evidence-Based Practices in Child Welfare
ClinicalTrials.gov study NCT02430337. IPD Sharing: NO. Countries: 1. Publications: 1.
Evidence-based Internet Cognitive-behavioral Therapy for Social Anxiety
ClinicalTrials.gov study NCT06403995. IPD Sharing: NO. Countries: 1. Publications: 1.
Evaluating Evidence-Based Quality Improvement of Comprehensive Women's Health Care Implementation in Low-Performing VAs
ClinicalTrials.gov study NCT03238417. IPD Sharing: NO. Countries: 1. Publications: 1.
Evidence-based Text Messages to Target Diet and Physical Activity
ClinicalTrials.gov study NCT05641402. IPD Sharing: YES. Countries: 1. Publications: 2.
Supporting Evidence-based Responses to Emotional Needs in Emphysema
ClinicalTrials.gov study NCT06600126. IPD Sharing: YES. Countries: 1. Publications: 0.
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.