Skip to main content
Powered by ShareScore

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.

7,378

datasets available to search

ShareScore release 0.9.0

Reset

Dataset results

7,378 results for “case”

Learn how ShareScore rates datasets ↗
dryad32/100

Data from: geo-genomic predictors of genetree heterogeneity explain phylogeographic and introgression history: a case study in an Amazonian bird (Thamnophilus aethiops)

<p>Can knowledge about genome architecture inform biogeographic and phylogenetic inference? Selection, drift, recombination, and gene flow interact to produce a genomic landscape of divergence wherein patterns of differentiation and genealogy vary nonrandomly across the genomes of diverging populations. For instance, genealogical patterns that arise due to gene flow should be more likely to occur on smaller chromosomes, which experience high recombination, whereas those tracking histories of geographic isolation (reduced gene flow caused by a barrier) and divergence should be more likely to occur on larger and sex chromosomes. In Amazonia, populations of many bird species diverge and introgress across rivers, resulting in reticulated genomic signals. Herein, we used reduced representation genomic data to disentangle the biogeographic history of four populations of an Amazonian antbird, Thamnophilus aethiops, whose biogeographic history was associated with the dynamic evolution of the Madeira River Basin. Specifically, we evaluate whether a large river capture event ca. 200 kya, gave rise to reticulated genealogies in the genome by making spatially explicit predictions about isolation and gene flow based on knowledge about genomic processes. We first estimated chromosome-level phylogenies and recovered two primary topologies across the genome. The first topology (T1) was most consistent with predictions about population divergence, and was recovered for the Z chromosome. The second (T2), was consistent with predictions about gene flow upon secondary contact. To evaluate support for these topologies, we trained a convolutional neural network to classify our data into alternative diversification models and estimate demographic parameters. The best-fit model was concordant with T1 and included gene flow between non-sister taxa. Finally, we modeled levels of divergence and introgression as functions of chromosome length, and found that smaller chromosomes experienced higher gene flow. Given that (1) gene-trees supporting T2 were more likely to occur on smaller chromosomes and (2) we found lower levels of introgression on larger chromosomes (and especially the Z-chromosome), we argue that T1 represents the history of population divergence across rivers and T2 the history of secondary contact due to barrier loss. Our results suggest that a significant portion of genomic heterogeneity arises due to extrinsic biogeographic processes such as river capture interacting with intrinsic processes associated with genome architecture. Future biogeographic studies would benefit from accounting for genomic processes, as different parts of the genome reveal contrasting, albeit complementary histories, all of which are relevant for disentangling the intricate biogeographic mechanisms of biotic diversification.</p>

opencc-zeroNov 2023View details →
zenodo32/100

Input data and scenarios outputs of the Water Resources Research paper "Optimal economic spatial and temporal allocation of green and grey investment to address water security threats : Case Study - Velhas River Basin, Brazil"

Open the record for dataset details and reuse information.

opencc-by-4.0Nov 2023View details →
zenodo32/100

Case Study Scenarios (CSS) 9 for Filament

Open the record for dataset details and reuse information.

opencc-by-4.0Nov 2023View details →
zenodo32/100

Can participation in a hackathon impact the motivation of software engineering students? A preliminary case study analysis

<p>This public dataset covers the answers to both pre-hackathon and post-hackathon surveys. Additionally, we offer basic descriptive and inferential statistics related to the provided data.</p>

opencc-by-4.0Oct 2023View details →
zenodo32/100

Case Study Scenarios (CSS) 7 for Southern Hemisphere Winter

Open the record for dataset details and reuse information.

opencc-by-4.0Nov 2023View details →
zenodo32/100

Case Study Scenarios (CSS) 4 for Volcanic Eruption

Open the record for dataset details and reuse information.

opencc-by-4.0Nov 2023View details →
zenodo32/100

Case Study Scenarios (CSS) 10 for the Asian Summer Monsoon

Open the record for dataset details and reuse information.

opencc-by-4.0Nov 2023View details →
zenodo32/100

FIGURES 7–8 in Notes on some Tanzanian butterfly specimens in the Suffert Collection: a case of patria falsa

FIGURES 7–8: handwritten labels in Brabant's hand: 7. holotype male of Charaxes pembanus usambarae. 8. male specimens of Junonia westermanni splendens.

opennotspecifiedApr 2021View details →
zenodo32/100

Case Study Scenarios (CSS) 5 for Stratospheric Sudden Warming

Open the record for dataset details and reuse information.

opencc-by-4.0Nov 2023View details →
zenodo32/100

Case Study Scenarios (CSS) 3 for Biomass Burning for Limb Nadir application

Open the record for dataset details and reuse information.

opencc-by-4.0Nov 2023View details →
zenodo32/100

Case Study Scenarios (CSS) 1 for OSSE of tropopause fold

<p>These are the simulated CAIRT ozone profiles for the period 15/Nov/2021-1/Feb/2022 using, in the following order:</p><ul><li>CAMS hlqd control run simulation as reference ozone field</li><li>sim_CAIRT_grid.py to generate CAIRT retrieval grid (i.e. the geolocation of the CAIRT profiles)</li><li>BASCOE_MAO to interpolate CAMS hlqd 3-hourly output at CAIRT geolocation</li><li>FL2S to perturb CAMS@CAIRT ozone according to CAIRT expected performences (using the AK, the systematic and the random error) and add error bar to the ozone profiles.</li></ul><p>These are the ozone profiles assimilated by BASCOE for the Observing System Simulation Experiment (OSSE) discussed in CAIRT Report for Assessment (RfA).</p>

opencc-by-4.0Nov 2023View details →
zenodo32/100

Fig. 6 in Taxonomic Use of Genitalic Characters in Mexican Copris (Coleoptera: Scarabaeidae, Scarabaeinae): The Case of Copris klugi sierrensis Matthews and the C. armatus Species Complex

Fig. 6. Copris sierrensis. Raspula. Note the size of the spines that form the subunits of the raspula.

opennotspecifiedJun 2009View details →
zenodo32/100

Fig. 1. Male genitalia, Copris klugi Harold. a in Taxonomic Use of Genitalic Characters in Mexican Copris (Coleoptera: Scarabaeidae, Scarabaeinae): The Case of Copris klugi sierrensis Matthews and the C. armatus Species Complex

Fig. 1. Male genitalia, Copris klugi Harold. a) aedeagus; b) parameres; c) raspula; d) parietal accessory lamella; e) conical accessory lamellae. Scale line: 1: 150 mm.

opennotspecifiedJun 2009View details →
zenodo32/100

Fig. 8. Female genitalia, Copris sierrensis. a in Taxonomic Use of Genitalic Characters in Mexican Copris (Coleoptera: Scarabaeidae, Scarabaeinae): The Case of Copris klugi sierrensis Matthews and the C. armatus Species Complex

Fig. 8. Female genitalia, Copris sierrensis. a) vagina; b) spermatheca; c) spermathecal duct. 12.8X.

opennotspecifiedJun 2009View details →
zenodo32/100

Fig. 2. Male genitalia, Copris sierrensis Matthews. a in Taxonomic Use of Genitalic Characters in Mexican Copris (Coleoptera: Scarabaeidae, Scarabaeinae): The Case of Copris klugi sierrensis Matthews and the C. armatus Species Complex

Fig. 2. Male genitalia, Copris sierrensis Matthews. a) aedeagus; b) parameres; c) raspula; d) parietal accessory lamella; e) conical accessory lamellae. Scale line: 1: 150 mm.

opennotspecifiedJun 2009View details →
zenodo32/100

FIGURE 2 in A lost species or the loss of stripes? The case of Contomastix lizards from Cabo Polonio, Uruguay, with observations on C. lacertoides (Duméril & Bibron) and Cnemidophorus grandensis Cope (Squamata, Teiidae)

FIGURE 2. Uruguayan specimens of Contomastix lacertoides. On top, unvouchered adult male photographed while basking at La Palma, Rivera (orange color corresponds to parasitic mites); inset: detail of sexual color dimorphism in a male from Quebrada de los Cuervos, Treinta y Tres (MNHN 9460). Bottom, adult female from Quebrada de los Cuervos, (MNHN 9461, total length 196 mm).

opennotspecifiedMar 2013View details →
zenodo32/100

FIGURE 8 in A lost species or the loss of stripes? The case of Contomastix lizards from Cabo Polonio, Uruguay, with observations on C. lacertoides (Duméril & Bibron) and Cnemidophorus grandensis Cope (Squamata, Teiidae)

FIGURE 8. On top, hyoid apparatus of Contomastix charrua ZVC-R 1266, paratype. Bottom, hyoid apparatus of topotypic C. lacertoides ZVC-R 1856. A and C are schematic representations as depicted by Cabrera and Carreira (2009); B and D are the corresponding hyoid preparations of Cabrera and Carreira (2009), photographed under a stereoscopic microscope (photos by CB). Notice in B the apparently fairly degraded right spicula of the second pair of ceratobranchials (arrow). Scale bars equals 5 mm.

opennotspecifiedMar 2013View details →
zenodo32/100

FIGURE 1 in A lost species or the loss of stripes? The case of Contomastix lizards from Cabo Polonio, Uruguay, with observations on C. lacertoides (Duméril & Bibron) and Cnemidophorus grandensis Cope (Squamata, Teiidae)

FIGURE 1. Geographic distribution of Contomastix species from Argentina, Brazil and Uruguay, according to present study and published reports (Koslowsky 1898; Gudynas 1985; Cei &amp; Martori 1991; Cei &amp; Scrocchi 1991; Cei 1993; Federico 2000; Feltrim &amp; Lema 2000; Pérez &amp; Grassini 2001; Vrcibradic et al. 2004; Arias &amp; Lobo 2005; Stahnke et al. 2006; Rholing et al. 2009; Caruccio et al. 2010; Cabrera et al. 2012). Closed circles, C. lacertoides (white circle, type locality Montevideo); open circle, C. charrua (type locality, Cabo Polonio); squares, C. leachei (white square, type locality, San Lorenzo); triangles, C. serrana (white triangle, type locality, Icho Cruz); pentagons, C. vacariensis (white pentagon, type locality, Vacaria). Abbreviations: BA, Buenos Aires Province; CB, Córdoba Province; ER, Entre Ríos Province; JU, Jujuy Province; RS, Rio Grande do Sul state; SA, Salta Province; SC, Santa Catarina state; SE, Santiago del Estero Province.

opennotspecifiedMar 2013View details →
zenodo32/100

FIGURE 7 in A lost species or the loss of stripes? The case of Contomastix lizards from Cabo Polonio, Uruguay, with observations on C. lacertoides (Duméril & Bibron) and Cnemidophorus grandensis Cope (Squamata, Teiidae)

FIGURE 7. Left, ventral view of the head of a cleared and stained specimen of Contomastix lacertoides, MNHN 9462 (scale bar equals 5 mm). Right, X-ray image of the head of the holotype of Cnemidophorus grandensis ANSP 9593 in ventral view. Abbreviations: BH, basihyoid; CBI, first pair of ceratobranchials; CBII, second pair of ceratobranchials; EB, entoglossal bone; EH, epihyal; MA, mandible; PL, processus lingualis; TO, tongue; TR, trachea.

opennotspecifiedMar 2013View details →
zenodo32/100

FIGURE 4 in A lost species or the loss of stripes? The case of Contomastix lizards from Cabo Polonio, Uruguay, with observations on C. lacertoides (Duméril & Bibron) and Cnemidophorus grandensis Cope (Squamata, Teiidae)

FIGURE 4. Ventral view of the head of adult Contomastix lizards (fixed specimens otherwise indicated). On top, C. lacertoides: A MCP 14453, B MCP 17758 (São Jerônimo, Rio Grande do Sul, Brazil); C MNHN 3189, D MNHN 3187 (Tambores, Tacuarembó). Middle, C. lacertoides from southeastern Uruguay: E MNHN 3185, F MNHN 5770 (Sierra de las Ánimas, Maldonado); G MNHN 9463 (in life), H MNHN 9464 (in life), (Quebrada de los Cuervos, Treinta y Tres). Bottom, C. lacertoides from southeastern Uruguay: I MNHN 3192 (Km 128, National Route #8, Lavalleja); C. charrua, J MNHN 3422 (paratype), K MNHN 3423, holotype (Cabo Polonio, Rocha); Cnemidophorus grandensis, L ANSP 9593, holotype (Rio Grande do Sul, Brazil).

opennotspecifiedMar 2013View details →

ScienceDex guides

Understand access before you commit

These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated 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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

ScienceDex for faculty

Your academic CV and NIH biosketch

Make your CV in your school's format and your NIH biosketch from it, then download both as Word files.