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.

3,101

datasets available to search

ShareScore release 0.9.0

Reset

Dataset results

3,101 results for “Historical”

Learn how ShareScore rates datasets ↗
zenodo32/100

Hourly Wind and Solar Generation Profiles at 1/8th Degree Resolution - wind 125m historical 2001-2022

<p>Please see the parent record at <a href="https://doi.org/10.5281/zenodo.10214348">https://doi.org/10.5281/zenodo.10214348</a>.</p>

opencc-zeroNov 2023View details →
zenodo32/100

Hourly Wind and Solar Generation Profiles at 1/8th Degree Resolution - wind 125m historical 1980-2000

<p>Please see the parent record at <a href="https://doi.org/10.5281/zenodo.10214348">https://doi.org/10.5281/zenodo.10214348</a>.</p>

opencc-zeroNov 2023View details →
zenodo32/100

Hourly Wind and Solar Generation Profiles at 1/8th Degree Resolution - wind 100m historical 2001-2022

<p>Please see the parent record at <a href="https://doi.org/10.5281/zenodo.10214348">https://doi.org/10.5281/zenodo.10214348</a>.</p>

opencc-zeroNov 2023View details →
zenodo32/100

Hourly Wind and Solar Generation Profiles at 1/8th Degree Resolution - wind 100m historical 1980-2000

<p>Please see the parent record at <a href="https://doi.org/10.5281/zenodo.10214348">https://doi.org/10.5281/zenodo.10214348</a>.</p>

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

Hourly Wind and Solar Generation Profiles at 1/8th Degree Resolution - wind 80m historical 1980-2000

<p>Please see the parent record at <a href="https://doi.org/10.5281/zenodo.10214348">https://doi.org/10.5281/zenodo.10214348</a>.</p>

opencc-zeroNov 2023View details →
zenodo32/100

Hourly Wind and Solar Generation Profiles at 1/8th Degree Resolution - wind 80m historical 2001-2022

<p>Please see the parent record at <a href="https://doi.org/10.5281/zenodo.10214348">https://doi.org/10.5281/zenodo.10214348</a>.</p>

opencc-zeroNov 2023View details →
dryad32/100

Disentangling the contemporary and historical effects of landscape on population genomic variation of two bird species restricted to the highland forest enclaves of northeastern Brazil

<p class="MsoNormal"><span>Investigating the impact of landscape features on patterns of genetic variation is crucial to understand spatially dependent evolutionary processes. Here, we assess the population genomic variation of two bird species (<em>Conopophaga cearae</em> and <em>Sclerurus cearensis</em>) through the Caatinga moist forest enclaves in northeastern Brazil. To infer the evolutionary dynamics of bird populations through the Late Quaternary, we used genome-wide polymorphism data obtained from double-digestion restriction-site-associated DNA sequencing (ddRADseq), and integrated population structure analyses, historical demography models, paleodistribution modeling, and landscape genetics analyses. We found the population differentiation among enclaves to be significantly related to the geographic distance and historical resistance across the rugged landscape. The climate changes at the end of the Pleistocene to the Holocene likely triggered synchronic population decline in all enclaves for both species. Our findings revealed that both geographic distance and historical connectivity through highlands are important factors that can explain the current patterns of genetic variation. Our results further suggest that levels of population differentiation and connectivity cannot be explained purely on the basis of contemporary environmental conditions. By combining historical demographic analyses and niche modeling predictions in a historical framework, we provide strong evidence that climate fluctuations of the Quaternary promoted population differentiation and a high degree of temporal synchrony among population size changes in both species.</span></p>

opencc-zeroNov 2023View details →
dryad32/100

Inverse priority effects: A role for historical contingency during species losses

<p>Communities worldwide are losing multiple species at an unprecedented rate, but how communities reassemble after these losses is often an open question. It is well established that the order and timing of species arrival during community assembly shapes forthcoming community composition and function. Yet, whether the order and timing of species losses can lead to divergent community trajectories remains largely unexplored. Here, we propose a novel framework that sets testable hypotheses on the effects of the order of species losses inverse priority effects and suggests its integration into the study of community assembly. We propose that the order of species losses within a community can generate alternative reassembly trajectories, and suggest mechanisms that may underlie these inverse priority effects. To formalize these concepts quantitatively, we used a three-species Lotka-Volterra competition model, enabling to investigate conditions in which the order of species losses can lead to divergent reassembly trajectories. The inverse priority effects framework proposed here promotes the systematic study of the dynamics of species losses from ecological communities, ultimately aimed to better understand community reassembly and guide management decisions in light of rapid global change.</p>

opencc-zeroDec 2023View details →
zenodo32/100

Transport Starter Data Kit: Historical socio-transport data for United Republic of Tanzania

<p>This Transport Starter Data Kit contains historical annual data (1990&ndash;2021) on passenger and freight activity, segregated by mode and fuel. Additionally, historical data on energy intensities, load factors, vehicle stock, population (total, urban, rural, growth), and GDP (total, agriculture, construction, mining, manufacturing, service, energy, growth) are included in the kit, within the &#39;Data&#39; tab. The historical data can be used as a foundation for transport-energy modelling and/or to identify areas of improvement. This data was verified through consultation with relevant stakeholders before publishing. The definition used for each vehicle mode is found in the &#39;Definitions&#39; tab, and the description of each data observation status is found in the &#39;Notes&#39; tab. All data sources are linked where possible.</p>

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

Transport Starter Data Kit: Historical socio-transport data for Guinea

<p>This Transport Starter Data Kit contains historical annual data (1990&ndash;2021) on passenger and freight activity, segregated by mode and fuel. Additionally, historical data on energy intensities, load factors, vehicle stock, population (total, urban, rural, growth), and GDP (total, agriculture, construction, mining, manufacturing, service, energy, growth) are included in the kit, within the &#39;Data&#39; tab. The historical data can be used as a foundation for transport-energy modelling and/or to identify areas of improvement. This data was verified through consultation with relevant stakeholders before publishing. The definition used for each vehicle mode is found in the &#39;Definitions&#39; tab, and the description of each data observation status is found in the &#39;Notes&#39; tab. All data sources are linked where possible.</p>

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

Transport Starter Data Kit: Historical socio-transport data for Gambia

<p>This Transport Starter Data Kit contains historical annual data (1990&ndash;2021) on passenger and freight activity, segregated by mode and fuel. Additionally, historical data on energy intensities, load factors, vehicle stock, population (total, urban, rural, growth), and GDP (total, agriculture, construction, mining, manufacturing, service, energy, growth) are included in the kit, within the &#39;Data&#39; tab. The historical data can be used as a foundation for transport-energy modelling and/or to identify areas of improvement. This data was verified through consultation with relevant stakeholders before publishing. The definition used for each vehicle mode is found in the &#39;Definitions&#39; tab, and the description of each data observation status is found in the &#39;Notes&#39; tab. All data sources are linked where possible.</p>

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

Supplementary material 1 from: Erdélyi A, Hartdégen J, Malatinszky Á, Vadász C (2023) Historical reconstruction of the invasions of four non-native tree species at local scale: a detective work on Ailanthus altissima, Celtis occidentalis, Prunus serotina and Acer negundo. One Ecosystem 8: e108683. https://doi.org/10.3897/oneeco.8.e108683

Derived data of Ailanthus altissima, Celtis occidentalis, Prunus serotina and Acer negundo from the National Forestry Database and its archives.

opencc-zeroOct 2023View details →
zenodo32/100

Historical Dark Warrior Sword

Source: Objaverse 1.0 / Sketchfab

opencc-byJul 2022View details →
zenodo32/100

Historical stone masonry road structure

These structures seem to be frequently built next to roads Source: Objaverse 1.0 / Sketchfab

opencc-byJul 2022View details →
zenodo32/100

Historic Graffiti Molina de Aragon Castle

The Molina de Aragon castle is located in the Castilla-La Mancha region in Spain. Inside the towers interesting graffiti from the 19th and 20th centuries are preserved. Some are engravings and others painted. Despite being a castle of medieval origin, it was in use until the 20th century, which explains the presence of graffiti in this chronology. Source: Objaverse 1.0 / Sketchfab

opencc-by-nc-1.0Nov 2020View details →
zenodo32/100

Historic Graffiti Molina de Aragon Castle

The Molina de Aragon castle is located in the Castilla-La Mancha region in Spain. Inside the towers interesting graffiti from the 19th and 20th centuries are preserved. Some are engravings and others painted. Despite being a castle of medieval origin, it was in use until the 20th century, which explains the presence of graffiti in this chronology. Source: Objaverse 1.0 / Sketchfab

opencc-by-nc-1.0Nov 2020View details →
zenodo32/100

Historically Accurate German Messer

Source: Objaverse 1.0 / Sketchfab

opencc-byMay 2022View details →
zenodo32/100

Historic courthouse 3d aerial survey Pix4d

3d model of the reconstructed 1819 courthouse at Port Tobacco, Maryland. I created this model from 83 aerial photos shot with a DJI Phantom 4 Professional sUAS, or drone. Used Pix4d Model for processing the images into a point cloud and triangle mesh. Source: Objaverse 1.0 / Sketchfab

opencc-by-nc-1.0Jan 2017View details →
zenodo32/100

Historic Bale Seal

Historic bale seal from Fort Michilimackinac, Michigan, (20EM52, MS2-323), a part of the Michigan State University Museum's Archaeology Teaching Collection. Bale seals, often made of lead, were used historically during the colonial period to mark various shipped cargo after inspection or the payment of taxes. Unique bale seals acted like the merchandize tags of today, indicating information such as who was doing the shipping, that the goods being shipped were of appropriate quality, and that they had been shipped through the proper legal regulations. Dimensions: approximately 3.9cm L x 2.6cm W x 0.4cm T, weight= 16.9g This 3D model was created by Jeff Painter using an Artec Space Spider and Artec Studio 14 Professional, in partnership with the MSU Digital Heritage Imaging and Innovation (DHI) Lab. Source: Objaverse 1.0 / Sketchfab

opencc-by-nc-sa-2.0Nov 2020View details →
zenodo32/100

Dataset on Electric Road Mobility: Historical and Evolution Scenarios until 2050

<p><span>The Electric Road Mobility Evolution Scenarios were performed considering different EVs technologies related to the current and future EV market (stock, sales, battery demand, electricity demand, and public charging points) in the context of worldwide, European, Portuguese, Danish, Greek and Slovenian on electric vehicle penetration.</span></p>

opencc-by-4.0Dec 2023View 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.