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.
8,375
datasets available to search
ShareScore release 0.9.0
Dataset results
8,375 results for “nationalism”
FIG. 5 in Apport des collections du Muséum national d'Histoire naturelle et de Didier Morin à la connaissance des Batrachideinae et Lophotettiginae (Orthoptera, Tetrigidae) de Guyane
FIG. 5. — Scaria macromaculata Doucet & Itrac-Bruneau, n. sp. holotype ♂, MNHN-EO-CAELIF11272: A, habitus en vue latérale; B, habitus en vue dorsale; C, tête vue de face; D, tête en vue dorsale; E, tegmen; F, extrémité de l'abdomen en vue dorsale; G, extrémité de l'abdomen en vue latérale; H, extrémité de l'abdomen en vue ventrale. Photos: G. Doucet. Échelles: A, B, 1 mm; C-H, 0,5 mm.
FIG. 4 in Apport des collections du Muséum national d'Histoire naturelle et de Didier Morin à la connaissance des Batrachideinae et Lophotettiginae (Orthoptera, Tetrigidae) de Guyane
FIG. 4. — Scaria guyanensis Doucet & Itrac-Bruneau, n. sp. holotype ♀, MNHN-EO-CAELIF11271: A, habitus en vue latérale; B, habitus en vue dorsale; C, tête vue de face; D, tête en vue dorsale; E, partie médiane du pronotum en vue latérale et tegmen; F, extrémité de l'abdomen en vue ventrale; G, extrémité de l'abdomen en vue latérale. Photos: G. Doucet. Échelles: A-C, E, 1 mm; D, G, 0,5 mm; F, 0,25 mm.
FIG. 2. — Paurotarsus pennatulus n in Apport des collections du Muséum national d'Histoire naturelle et de Didier Morin à la connaissance des Batrachideinae et Lophotettiginae (Orthoptera, Tetrigidae) de Guyane
FIG. 2. — Paurotarsus pennatulus n. sp. holotype ♂, MNHN-EO-CAELIF11267: A, habitus en vue latérale; B, habitus en vue dorsale; C, tête vue de face; D, partie antérieure du pronotum en vue latérale; E, extrémité de l'abdomen en vue dorsale; F, extrémité de l'abdomen en vue latérale. Photos: G. Doucet. Échelles: A-D, 1 mm; E, F, 0,5 mm.
Non-Poissonian Forecast and Hazard source files - New Zealand National Seismic Hazard Model 2022
<h3>This repository contains:</h3><ul><li>The forecast's files for the Distributed Seismicity Model of the NZNSHM2022, as well as figures, and the Paraview files to explore them in the software interactively. (https://www.paraview.org/)</li><li>The Openquake source files (https://github.com/gem/oq-engine) to run the NZ-NSHM2022 model using the non-Poisson forecasts as single branches.</li></ul><h3>Installation instructions</h3><p>For reproducibility, this package should install OpenQuake (https://github.com/gem/oq-engine) in its version v3.16.4. However, Openquake should remain backward compatible for the Negative Binomial formulation in the future. To install the version 3.16.4, a virtual environment can be created used Anaconda/Miniconda/Micromamba (the latter is recommended, see installation instructions https://mamba.readthedocs.io/en/latest/installation.html) by using:</p><blockquote><p><i>conda env create -f environment.yml</i></p></blockquote><p>This environment should already contain the Openquake version. If the Openquake software should be installed manually into an environment created by the user:</p><blockquote><p><i>source activate {user_env}</i></p><p><i>git clone https://github.com/gem/oq-engine --depth=1 --branch=v3.16.4</i></p><p><i>cd oq-engine</i></p><p>pip install -e .</p></blockquote><p>For additional information, please see the README.md file, or visit <a href="https://github.com/pabloitu/nz_nshm2022_nonpoisson">https://github.com/pabloitu/nz_nshm2022_nonpoisson</a></p>
Fig. 2 in A tiny new species of Platypelis from the Marojejy National Park in northeastern Madagascar (Amphibia: Microhylidae)
Fig. 2. Audiospectrogram and corresponding oscillogram of the advertisement call of the holotype of Platypelis ravus sp. nov. (ZSM 349/2005), recorded at Camp Simpona, Marojejy National Park, on 15 February 2005 (19:20 h) at 21.1°C air temperature.
Fig. 1 in A tiny new species of Platypelis from the Marojejy National Park in northeastern Madagascar (Amphibia: Microhylidae)
Fig. 1. Platypelis ravus sp. nov. in life. A. Dorsolateral view of ♂ paratype (ZSM 350/2005) from Marojejy National Park. B. Ventral view of same specimen (ZSM 350/2005). C. Dorsolateral view of ♂ holotype (ZSM 349/2005).
Decarbonization scenario database for the Fifth National Climate Assessment (NCA5)
<p>The decarbonization scenario database for the U.S. Fifth National Climate Assessment (NCA5) forms part of the evidence base for the Mitigation chapter of the assessment. The database contains scenarios that were submitted in response to an open call for contributions for U.S. scenarios that reach net-zero emissions across the economy by midcentury. These scenarios inform the figures and text in the Mitigation chapter about decarbonization pathways for the U.S.</p><p>Visit the interactive NCA5 Scenario Explorer at <a href="https://data.ece.iiasa.ac.at/nca5">https://data.ece.iiasa.ac.at/nca5</a>.</p>
Uncertainties from the UNFCCC National Inventory Reports (submission 2017)
<p><strong>Summary:</strong></p> <p>This data repository contains the uncertainties of the national greenhouse-gas inventories submitted to the United Nations Framework Convention on Climate Change (UNFCCC). We extracted the data from the National Inventory Reports (NIR) submitted in 2017 covering the emission from 2015. We use the data in our study on "Estimating the uncertainty of the greenhouse gas extensions in Multi-Regional Input-Output analysis" submitted to the Journal of Earth System Science Data (ESSD): <a href="https://essd.copernicus.org/preprints/essd-2023-473/">https://essd.copernicus.org/preprints/essd-2023-473/</a></p> <p><strong>Background:</strong></p> <p>NIRs are only available in pdf-format which makes accessing them from computer impossible. Against this background, we extracted the uncertainty tables from the Annex of the NIR pdf documents in a semi-automated way using a set of Python and R scripts. To bring the uncertainty into a common format, manual data cleaning and adjustments were necessary due to different structuring and processing of uncertainty data by the parties. </p> <p><strong>Data: </strong></p> <p>We brought the data into the format provided in the IPCC 2006 guidelines (Volume 1, Chapter 3). The guidelines distinguish two approaches to uncertainty quantification, tier 1 based on analytical error propagation, and tier 2 based on Monte-Carlo simulations. For each, tier 1 and tier 2 uncertainties, the IPCC 2006 guidelines provide a distinct table template, a screenshot of which can be found in this repository under <a href="../api/records/10037714/draft/files/IPCC2006_table3-2/content">IPCC2006_table3-2</a> and <a href="../api/records/10037714/draft/files/IPCC2006_table3-3/content">IPCC2006_table3-3</a>.</p> <p>Accordingly we provide two different data sets: </p> <ul> <li><a href="../api/records/10037714/draft/files/tier1.csv/content">tier1.csv</a> containing the Tier 1 uncertainties structured according to Table 3.2 of the IPCC 2006 guidelines (see <a href="../api/records/10037714/draft/files/IPCC2006_table3-2/content">IPCC2006_table3-2</a>)</li> <li><a href="../api/records/10037714/draft/files/tier2.csv/content">tier2.csv </a>containing the Tier 2 uncertainties structured according to Table 3.2 of the IPCC 2006 guidelines (see <a href="../api/records/10037714/draft/files/IPCC2006_table3-3/content">IPCC2006_table3-3</a>)</li> </ul> <p>Compared to the table templates from the IPCC 2006 guidelines we added three identifying columns to each dataset: </p> <ul> <li><strong>party</strong>: Name of the party</li> <li><strong>year</strong>: Inventory year (2015 for all items)</li> <li><strong>LULUCF</strong>: if emissions from Land use, land-use change, and forestry (LULUCF) are included (<em>incl</em>) or excluded (<em>excl</em>) in the inventory. Background: parties often publish two versions of the uncertainty table: One including emissions from Land use, land-use change, and forestry (LULUCF), one excluding.</li> </ul> <p>Moreover, we split the column <strong>A </strong>into two columns <strong>category </strong>and <strong>classification </strong>and renamed the original column <strong>A </strong>into <strong>A_raw</strong>. </p> <p> </p>
Body size modulates the extent of seasonal diet switching by large mammalian herbivores in Yellowstone National Park
<div> <p><span>Large mammalian herbivores vary their diets markedly with changes in resource availability yet the ways that seasonal changes in individual foraging behaviors scale up to reconfigure complex trophic networks are poorly understood. Two years of dietary DNA data enabled us to quantify fine-grained dietary variation within and among populations of five large herbivore species at Yellowstone National Park, revealing remarkably strong and significant correlations between body size and five key indicators of diet seasonality (R<sup>2</sup> = 0.71–0.80). Data from GPS collars implicated seasonal changes in each species' movement- and habitat-use patterns as potential determinants of foraging constraints and specializations that give rise to the strong allometry in diet composition. Bison and elk showed relatively muted seasonal changes compared to smaller species that exhibited stronger switches. Whereas the taxonomic breadth of individual diets contracted for all species in winter, larger species generally consumed a greater functional diversity of plants and thus maintained more unique dietary niches under resource limitations.</span></p> </div>
Fig. 6 in Hornets (Vespidae: Vespinae) of Singapore: ecology, identification, and national conservation assessment
Fig. 6. Nests of Vespa affinis in Singapore. A & B, mature nest in a tree and on a metal beam of a plant nursery respectively, C, lateral view of an embryo nest, D, multiple queens in an early embryo nest. (Photographs: Kam-Yung Soh, John Lee, and Zestin Soh).
Fig. 8 in Hornets (Vespidae: Vespinae) of Singapore: ecology, identification, and national conservation assessment
Fig. 8. Vespa analis in Singapore. A: dorsal view of a worker visiting flowers of Syzygium zeylanicum; B: mature nest built on a Caryota mitis palm; C: lateral view of a worker. (Photographs: Zestin Soh and Janice Ang).
Fig. 1 in Hornets (Vespidae: Vespinae) of Singapore: ecology, identification, and national conservation assessment
Fig. 1. Provespa anomala in Singapore. A, worker resting in a public lavatory in a forested park; B, worker capturing a small insect at a light trap at night; C, a swarm congregating under a shelter in a probable swarm-founding event; D, unusual occurrence of a worker attracted to shrimp paste in the day. (Photos: Marcus Ng, John Lee).
Fig. 3 in Hornets (Vespidae: Vespinae) of Singapore: ecology, identification, and national conservation assessment
Fig. 3. Vespa affinis in Singapore. A: worker capturing a flower-visiting sweat bee (Lasioglossum sp.); B: workers scavenging from a dead fish left behind at a fishing ground; C: worker with an insect caught in a spider's web; D: worker nectaring from flowers of Leea rubra. (Photos: Lim Yu Jun, Marcus Ng and Zestin Soh).
Fig. 7. The hoverfly Milesia vespoides, a in Hornets (Vespidae: Vespinae) of Singapore: ecology, identification, and national conservation assessment
Fig. 7. The hoverfly Milesia vespoides, a Batesian mimic of Vespa affinis and V. tropica, at Windsor Nature Park in January 2022. (Photograph by Yue Teng Lee).
Fig. 10 in Hornets (Vespidae: Vespinae) of Singapore: ecology, identification, and national conservation assessment
Fig. 10. Vespa multimaculata feeding on inflorescences of a palm (Arecaceae) in Selangor, Malaysia in September 2022. (Photographs: Mike Hooper).
Fig. 4 in Hornets (Vespidae: Vespinae) of Singapore: ecology, identification, and national conservation assessment
Fig. 4. Comparison of the clypeus of Vespa affinis (A) and V. tropica (B). The white arrows point to the clypeal apices, bordering a medial emargination, which are semi-circular protuberances in V. affinis but more strongly produced as triangular projections in V. tropica. (Photographs: John Lee).
Where Ethnoregionalism and Nationalism Meet. Poland and Upper Silesia
<p>Data was gathered for our study by an external company (Biostat sp. z o.o. Centrum Badawczo-Rozwojowe) in 2021. All rights to data were transferred to the University of Silesia in Katowice (based on the agreement between parties). </p> <p>Method: survey (CAWI)</p> <p>Both the dataset and the codebook are available. </p> <p>Abstract of the project</p> <p>Three decades ago, political science and legal studies took almost no interest in a small region in Central Europe called Upper Silesia. Today, the scholarly literature in many disciplines is growing due, among other things, to the references to the situation of Silesians made by the Advisory Committee of the Framework Convention for the Protection of National Minorities in the <em>Fourth Opinion on Poland</em>. However, most of those studies do not include analysis of the most important political context: ethnopolitics in the Republic of Poland, its past and present. In this project, we aim to explore the dynamic relations between Poles and Silesians and the consequences of those relations on public law and policy. We also analyse ethnic policy and memory policy in Poland in relation to Upper Silesia, especially in the context of Polish national identity.</p>
US National Native Bee Monitoring RCN Data Management Workshop: CC BY NC Videos
<p>The US National Native Bee Monitoring Research Coordination Network (RCN) held a two-day workshop on data management best practices for native bee inventory, survey, and monitoring data on March 28 and 30, 2023. Videos in this data set were played at the workshop. These videos are released with a CC BY-NC license. These videos are for non-commercial use only. Please cite the presenter(s) of the video(s) you use. This data set includes the following videos: </p><ul><li>APHIS National Honey Bee Pests and Diseases Survey by Anne LeBrun</li><li>Importance of FAIR in Biodiversity Science and Research by Elizabeth R. Ellwood</li><li>Bugflow: A Community Driven Repository for Entomology Digitization Resources by Crystal Maier</li><li>A Primer on iNaturalist Bee Data by Keng-Lou James Hung, Paige Chesshire, Michael Orr, Alice Hughes, Jess Mullins, Katherine Parys, Patricia Simpson, Lindsie McCabe, Neil Cobb, and John Ascher</li></ul>
FIG. 8 in Small naviculoid species of Kobayasiella Lange-Bertalot, Adlafia Moser, Lange-Bertalot & Metzeltin, Nupela Vyverman & Compère and Sellaphora Mereschowsky from Tursujuq National Park, Hudson Bay region, Nunavik, Québec
FIG. 8. — SEM images of Kobayasiella pseudostauron (Lange-Bertalot) Lange-Bertalot: A, B, external views of the complete valve; C, D, external views of the central area showing a stauros fascia and the multiseriate poroid covers over the striae between virgae; E, external view of the valve apex showing a curved proximal fissure opening into an irregular surface depression; F, magnified view of the terminal raphe fissure; G, internal view of a broken valve showing T-shaped proximal fissure and elongated helictoglossa. Scale bars: A, B, G, 5 µm; C-E, 2 µm.
FIG. 2 in Small naviculoid species of Kobayasiella Lange-Bertalot, Adlafia Moser, Lange-Bertalot & Metzeltin, Nupela Vyverman & Compère and Sellaphora Mereschowsky from Tursujuq National Park, Hudson Bay region, Nunavik, Québec
FIG. 2. — Light micrograph diminution series of Kobayasiella Lange-Bertalot species: A-P, Kobayasiella parasubtilissima (Kobayasi & Nagumo) Lange-Bertalot; Q-AB, Kobayasiella madumensis (Jørgensen) Lange-Bertalot; AC-AO, Kobayasiella subtilissima (Cleve) Lange-Bertalot. Scale bar: 10 µm.
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.