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.
6,704
datasets available to search
ShareScore release 0.9.0
Dataset results
6,704 results for “reports”
Figure 3. P in Description of Pseudoameiropsis suphankaraytugi sp. nov. (Copepoda: Harpacticoida: Ameiridae) with the first report of the genus Pseudoameiropsis Pallares, 1982 outside of the South Atlantic Ocean
Figure 3. P. suphankaraytugi sp. nov., holotype, ♀: a) A1, b) A2, c) labrum, d) mandibular gnathobase, e) mandibular palp, f) maxillule, g) maxilla, h) maxilliped.
Figure 2. P in Description of Pseudoameiropsis suphankaraytugi sp. nov. (Copepoda: Harpacticoida: Ameiridae) with the first report of the genus Pseudoameiropsis Pallares, 1982 outside of the South Atlantic Ocean
Figure 2. P. suphankaraytugi sp. nov., holotype, ♀: a) urosome, ventral; b) anal somite and caudal rami, dorsal; c) P5.
Figura 3 in Panstrongylus geniculatus (Latreille, 1811) (Hemiptera: Reduviidae: Triatominae) en domicilios de El Portachuelo, Mérida, Venezuela: un reporte eco-epidemiológico
Figura 3. Vista satelital de El Portachuelo, Municipio Campo ElÍas, Mérida, Venezuela. Años 2019 (a) y 2005 (b). (a) En verde localidad donde se capturaron los ejemplares de P. geniculatus, en rojo las áreas de reciente urbanización y deforestación para el año 2019, en comparación con el año 2005 (b). / Satellite view of El Portachuelo, Campo ElÍas Municipality, Mérida, Venezuela. Years 2019 (a) and 2005 (b). (a) In green the locality where the P. geniculatus specimens were captured, in red the areas of recent urbanization and deforestation for the year 2019, compared to the year 2005 (b).
Figura 2 in Panstrongylus geniculatus (Latreille, 1811) (Hemiptera: Reduviidae: Triatominae) en domicilios de El Portachuelo, Mérida, Venezuela: un reporte eco-epidemiológico
Figura 2. Forma epimastigote compatible con Trypanosoma cruzi observada en las muestras de heces del macho de P. geniculatus (aumento: 40X). / Epimastigote form compatible with Trypanosoma cruzi observed in the fecal samples of the male of P. geniculatus (magnification: 40x).
Figura 1 in Panstrongylus geniculatus (Latreille, 1811) (Hemiptera: Reduviidae: Triatominae) en domicilios de El Portachuelo, Mérida, Venezuela: un reporte eco-epidemiológico
Figura 1. Macho (a) y hembra (b) de Panstrongylus geniculatus recolectados en El Portachuelo, Mérida, Venezuela. / Male (a) and female (b) of Panstrongylus geniculatus collected in El Portachuelo, Mérida, Venezuela.
Figura 4 in Panstrongylus geniculatus (Latreille, 1811) (Hemiptera: Reduviidae: Triatominae) en domicilios de El Portachuelo, Mérida, Venezuela: un reporte eco-epidemiológico
Figura 4. Vista satelital (a) y detalle del peri-domicilio de viviendas donde fueron capturados los triatominos (b). Las marcas verdes señalan los domicilios donde fueron capturados los ejemplares de P. geniculatus. / Satellite view (a) and detail of the peri-domicile of houses where the triatomines were captured (b). The green marks indicate the addresses where the P. geniculatus specimens were captured.
Figuras 1-4 in Reporte de un caso teratológico en Macraspis chrysis (Linnaeus) (Coleoptera: Scarabaeidae: Rutelinae: Rutelini) de Panamá
Figuras 1-4. Macraspis chrysis (Linnaeus). 1. Vista dorsal. 2. HemibraquilitrÍa en el élitro derecho. 3. Vista lateral. 4. Malformación del ala. Escala: 10 mm.
Fig. 4 in First report of successful Naegleria detection from environmental resources of some selected areas of Rawlakot, Azad Jammu and Kashmir, Pakistan
Fig. 4. (A) Primary sequence alignment was obtained with reference sequences already available in Gen Bank. Neighbour joining phylogenetic relationship between the partial sequences of 18S rRNA of Naegleria from isolates obtained in this study and reference sequences present in Gen Bank. (B). Neighbour joining phylogenetic relationship between the partial sequences of 18S rRNA of Naegleria from isolates obtained in this study and reference sequences present in Gen Bank. The tree was generated in CLC Main Workbench version 6.6.2 using 1000 bootstrap replications. Branch length is proportional to the calculated genetic distance (scale shown).
Fig. 3 in First report of successful Naegleria detection from environmental resources of some selected areas of Rawlakot, Azad Jammu and Kashmir, Pakistan
Fig. 3. To confirm the incidence of Naegleria populations in water and soil samples, DNA were extracted from amoebae retrieved from NNA plates with 2 weeks time and utilized for PCR examination as demonstrated in methods section. PCR products were obtained in all DNA samples verifying the existence of Naegleria. Lane 1: 250 bp DNA ladder; Lane 2: RAW STW4; Lane 3: RAW LW1; Lane 4: RAW PW8; Lane 5: RAW DS1; Lane 6: RAW STW7; Lane 7: RAW TW3; Lane 8: RAW DS2; Lane 9: RAW DS3; Lane 10: RAW DS4; Lane 11: RAW DS5; Lane 12: RAW DS6; Lane 13: RAW DS7; Lane 14: RAW DS8; Lane 15: RAW DS9; Lane 16: RAW DS10; Lane 17: +ve control; Lane 18: -ve control.
Fig. 2 in First report of successful Naegleria detection from environmental resources of some selected areas of Rawlakot, Azad Jammu and Kashmir, Pakistan
Fig. 2. Naegleria cysts detection on NNA under inverted microscope (×400). Water and soil samples were filtered and pored respectively and inoculated on NNA plate seeded with E. coli as demonstrated in methods section. Plates were monitored for amoebic outgrowth up to two weeks, and images were taken. Only representative samples of water (a) RAW STW7 and soil (b) RAW DS7 are shown here.
Panel of self-reported environmental and non-environmental shocks and migration in Tanzania
<p>This clean dataset was produced by Julia Blocher and Roman Hoffmann using the National Panel Survey - Tanzania: Data on Living Standards conducted by the World Bank and National Bureau of Statistics (https://www.worldbank.org/en/programs/lsms/brief/national-panel-survey-data-on-the-living-standards-of-tanzania). Our data set contains three survey waves (2008/9, 2010/11, 2012/13) and is different from the TZNPS data because it is grouped by a harmonized household and individual identifiers that can be tracked across the three waves. It was used for the paper "The effects of environmental and non-environmental shocks on livelihoods and migration in Tanzania", Population & Environment 46(1). Later waves are not included as the sample differs.</p>
Results complementing the European Union summary report on surveillance for the presence of transmissible spongiform encephalopathies (TSE) - Norway
<p>This dataset contains TSE surveillance results in cattle, sheep, goats, cervids and other species, and genotyping in sheep, pursuant to Regulation (EC) 999/2001.</p> <p><strong>Reporting authorities contributing to each data collection</strong>:</p> <ul> <li>TSE_2023_NO: Norwegian Veterinary Institute (NVI)</li> <li>TSE_2022_NO: Norwegian Veterinary Institute (NVI)</li> <li>TSE_2021_NO: Norwegian Veterinary Institute (NVI)</li> <li>TSE_2020_NO: Norwegian Veterinary Institute (NVI)</li> <li>TSE_2019_NO: Norwegian Veterinary Institute (NVI)</li> </ul>
Results complementing the European Union summary report on surveillance for the presence of transmissible spongiform encephalopathies (TSE) - Latvia
<p>This dataset contains TSE surveillance results in cattle, sheep, goats, cervids and other species, and genotyping in sheep, pursuant to Regulation (EC) 999/2001.</p> <p><strong>Reporting authorities contributing to each data collection</strong>:</p> <ul> <li>TSE_2023_LV: Food and Veterinary Service (PVD)</li> <li>TSE_2022_LV: Food and Veterinary Service (PVD)</li> <li>TSE_2021_LV: Food and Veterinary Service (PVD)</li> <li>TSE_2020_LV: Food and Veterinary Service (PVD)</li> <li>TSE_2019_LV: Food and Veterinary Service (PVD)</li> </ul>
Results complementing the European Union summary report on surveillance for the presence of transmissible spongiform encephalopathies (TSE) - Luxembourg
<p>This dataset contains TSE surveillance results in cattle, sheep, goats, cervids and other species, and genotyping in sheep, pursuant to Regulation (EC) 999/2001.</p> <p><strong>Reporting authorities contributing to each data collection:</strong></p> <ul> <li>TSE_2023_LU: Veterinary Services Administration (ASV)</li> <li>TSE_2022_LU: Veterinary Services Administration (ASV)</li> <li>TSE_2021_LU: Veterinary Services Administration (ASV)</li> <li>TSE_2020_LU: Veterinary Services Administration (ASV)</li> <li>TSE_2019_LU: Veterinary Services Administration (ASV)</li> </ul>
Results complementing the European Union summary report on surveillance for the presence of transmissible spongiform encephalopathies (TSE) - Bosnia and Herzegovina
<p>This dataset contains TSE surveillance results in cattle, sheep, goats, cervids and other species, and genotyping in sheep, pursuant to Regulation (EC) 999/2001.</p> <p><strong>Reporting authorities contributing to each data collection</strong>:</p> <ul> <li>TSE_2023_BA: Food Safety Agency of Bosnia and Herzegovina (FSA)</li> <li>TSE_2022_BA: Food Safety Agency of Bosnia and Herzegovina (FSA)</li> <li>TSE_2021_BA: Food Safety Agency of Bosnia and Herzegovina (FSA)</li> <li>TSE_2020_BA: Food Safety Agency of Bosnia and Herzegovina (FSA)</li> </ul> <p>For Bosnia and Herzegovina, 2020 is the first year reporting TSE surveillance results.</p>
Reports FlexFunds 2023
<p><strong>The HTML publication is available at <a href="https://nfdi4culture.de/go/E5499">https://nfdi4culture.de/go/E5499</a>.</strong></p> <p>The FlexFunds are used to support projects and measures for the needs-based (further) development of research tools and data services in the NFDI4Culture communities. The projects funded in 2023 report on their results here.</p>
Waze Virtual Emergency Operations Center - Hurricane Harvey Reports
<p>Responses from the Waze Virtual Emergency Operations Center (VEOC) for Hurricane Harvey. These records give detail on reported flooding during Hurricane Harvey, gathered as volunteered geographic information. The data is based on Waze driver reports, local news, storm watchers, and other official sources.</p>
IPCC Working Group 1 (WG1) Sixth Assessment Report (AR6) Annex III Extended Data
<p>Extended data relating to atmospheric abundences and effective radiative forcing from historical and future projections. Data is presented in abridged form in the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6) Working Group 1 (WG1) Annex 3. </p> <p>In this dataset, data is provided for all years, and includes additional scenarios not included in the published tables.</p> <p><strong>Contents</strong></p> <ul> <li>table A3.1: historical observed greenhouse gas (GHG) abundances. All subtables a-f in the printed report are combined into one CSV file.</li> <li>table A3.2: future projections (2020-2500) of GHG abundances for nine SSP scenarios (SSP1-1.9, SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP3-7.0-lowNTCF, SSP4-3.4, SSP4-6.0, SSP5-3.4-over, SSP5-8.5). Orignal data is from Meinshausen et al. (2020): https://doi.org/10.5194/gmd-2019-222 </li> <li>table A3.3: historical effective radiative forcing (ERF) for 1750-2019 (unit is W m<sup>-2</sup>) <ul> <li>best estimate</li> <li>5th percentile</li> <li>95th percentile</li> <li>100000 member Monte Carlo ensemble (HDF file)</li> </ul> </li> <li>table A3.4: future projections of ERF from 1750-2500 (including historical to 2014, projections starting from 2015). Unit is W m<sup>-2</sup>. <ul> <li>table A3.4a: SSP1-1.9 (best estimate, 5th and 95th percentile)</li> <li>table A3.4b: SSP1-2.6 (best estimate, 5th and 95th percentile)</li> <li>table A3.4c: SSP2-4.5 (best estimate, 5th and 95th percentile)</li> <li>table A3.4d: SSP3-7.0 (best estimate, 5th and 95th percentile)</li> <li>table A3.4e: SSP5-8.5 (best estimate, 5th and 95th percentile)</li> <li>table A3.4f: breakdown of minor greenhouse gases, and aggregated categories, for the five Tier 1 SSP scenarios in tables A3.4a to A3.4e (best estimate)</li> <li>tables A3.4x: tables A3.4a to A3.4f for Tier 2 SSP scenarios: <ul> <li>SSP3-7.0-lowNTCF</li> <li>SSP3-7.0-lowNTCFCH4</li> <li>SSP4-3.4</li> <li>SSP4-6.0</li> <li>SSP5-3.4-over</li> </ul> </li> </ul> </li> <li>table A3.5: projections of ERF from 1750-2500 from RCP2.6, RCP4.5, RCP6.0 and RCP8.5 using AR6 assessment (best estimate, 5th and 95th percentile, breakdown of minor gases; unit is W m<sup>-2</sup>)</li> </ul> <p><strong>Citation</strong></p> <p>IPCC, 2021: Annex III: Tables of historical and projected well-mixed greenhouse gas mixing ratios and effective radiative forcing of all climate forcers [Dentener F.J., B. Hall, C. Smith (eds.)]. In <em>Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change</em> [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press.</p>
Archaeological Survey of India, Annual Report, Part 2, plate XLI showing seals found during excavations.
<p>Theodor Bloch, "Excavations at Basarh," <em>Archaeological Survey of India, Annual Report 1903-04, </em>Part 2 (Calcutta: Calcutta: Superintendent of Government Printing, 1906): plate XLI.</p>
Fig. 14. – Croton lasiopyrus Baill. A in New species and species reports of Croton L. (Euphorbiaceae) from the eastern forest corridor of Madagascar
Fig. 14. – Croton lasiopyrus Baill. A. Habit, with patent leaves; B. Cross-section of woody stem (diam. c. 4 cm), showing reddish sap at cambial layer; C. Young twig cut to show the reddish sap that is exuded; D. Leaves. Note the atypical serrate leaf margin of this specimen (van Ee et al. 2215), which may be introgressed with C. enigmaticus; E. Shoot apex with anisophyllous leaves; F. Close up of shoot showing the reddish, wooly pubescence. Note the acropetiolar gland at the lower side of the blade; G. Inflorescence with old staminate flowers and bud. Note the divergent pedicels; H. Pistillate flower; I. A nearly mature capsule and the remaining calyx and columella of an already dehisced capsule. [A, C-E, G, I: van Ee et al. 2197; B, F: van Ee et al. 978; H: van Ee et al. 2215] [Photos: A, C-E, G-I: P. Berry; B, F: B. van Ee]
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.