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23,670 results for “Site”
Archaeological Sites in Slovak Republic - Harmonized Dataset
<p>A registry of archaeological sites in Slovak Republic, based on the dataset "Centrálna evidencia archeologických nálezísk na Slovensku (skúšobná prevádzka)" ("Central Evidence of Archaeological Sites in Slovakia (test version)") by The Institute of Archaeology of the Slovak Academy of Sciences available as WFS from the National Geoportal (<a href="https://geoportal.gov.sk/">https://geoportal.gov.sk/</a>)</p> <p>Source data: <a href="https://maps.geop.sazp.sk:443/geoserver/wfs">https://maps.geop.sazp.sk:443/geoserver/wfs</a></p> <p>The dataset was created by correcting the information about archaeological dating (culture) and creating individual records for each dating, to enable filtering by era and culture. The language of the dataset is Slovak.</p> <p><strong>Format:</strong> ESRI Shapefile</p> <p><strong>CRS: </strong>S-JTSK / Krovak East North, EPSG: 5514</p> <p><strong>Fields:</strong></p> <p><strong>fid</strong>: Record identifier</p> <p><strong>kataster</strong>: Cadastre name</p> <p><strong>obec</strong>: Town or village name</p> <p><strong>poloha</strong>: Location name</p> <p><strong>stlok</strong>: degree of location accuracy (1 - accurate, 2 - accurate, localized according to text description, 3 - inaccurate, center of the built-up area of the cadastre, -1 - unknown)</p> <p><strong>druhnal</strong>: type of site</p> <p><strong>c_aktivity</strong>: number of archaeological activity</p> <p><strong>rokevid</strong>: year of evidence of the archaeological activity</p> <p><strong>datovanie</strong>: dating (culture)</p> <p><strong>dat_era</strong>: dating (era)</p> <p><strong>dat_popis</strong>: dating (description)</p> <p><strong>dat_orig</strong>: original dating entry before harmonization</p> <p> </p>
Preliminary neutron data for cryotrapping peroxide in the active site of human mitochondrial manganese superoxide dismutase crystals for neutron diffraction
<p>The files are preliminary refined neutron coordinates and data on a cryotrapped peroxo species at the active site of human manganese superoxide dismutase crystals.</p>
Fig. 1. Map showing the collecting sites. A–C in Three Species of Grandidierella (Crustacea: Amphipoda: Aoridae) from Coastal Areas of the Tohoku and Kanto-Tokai Districts, East Japan, with the Description of Two New Species
Fig. 1. Map showing the collecting sites. A–C, Grandidierella sanrikuensis sp. nov.; D, G. rubroantennata sp. nov.; E–G, G. osakaensis Ariyama, 1996. In sites C, E and G, G. japonica Stephensen, 1938 was also collected nearby.
Figs 6–9. 6 in Deepor Beel - A Ramsar Site Of India: An Interesting Hot-Spot With Its Rich Rotifera Biodiversity
Figs 6–9. 6 = Brachionus dichotomus reductus KOSTE et SHIEL, dorsal view, 7 = Notommata spinata KOSTE et SHIEL, dorsal view, 8 = Keratella edmondsoni AHLSTROM, dorsal view, 9 = Lecane blachei BERZINS, dorsal view
Fig. 1. A in Deepor Beel - A Ramsar Site Of India: An Interesting Hot-Spot With Its Rich Rotifera Biodiversity
Fig. 1. A = map of indicating location Deepor Beel, B = map showing sampling sites (2002–2003 and 2008–2010)
Figs 2–5. 2 in Deepor Beel - A Ramsar Site Of India: An Interesting Hot-Spot With Its Rich Rotifera Biodiversity
Figs 2–5. 2 = Keratella tecta (GOSSE), dorsal view, 3 = Trichocerca bidens (LUCKS), lateral view, 4 = Trichocerca tigris (MÜLLER), lateral view, 5 = Lecane paxiana HAUER, dorsal view
Fig. 1. Map showing the sampling sites. A in Two New Species of Microloxoconcha (Crustacea: Ostracoda) from the Sublittoral Zone in Western Japan
Fig. 1. Map showing the sampling sites. A, western area of Japan; B, type locality of Microloxoconcha toyoshioae n. sp. (solid circle); C, type locality of Microloxoconcha sublittoralis n. sp. (open circle).
FIG. 6 in Révision des Équidés (Mammalia, Perissodactyla) du site pléistocène moyen du lac Karâr (Tlemcen, Algérie)
FIG. 6. — Equus sp., lac Karâr, Algérie, prémolaires et molaires supérieures définitives en vues occlusale (a) et linguale (b). Abréviation: Sp., spécimen. Échelle: 2 cm.
FIG. 5 in Révision des Équidés (Mammalia, Perissodactyla) du site pléistocène moyen du lac Karâr (Tlemcen, Algérie)
FIG. 5. — Equus sp., lac Karâr, Algérie,prémolaires inférieures définitives (p3-p4) droite (Sp 25) et gauche (Sp 26) en vues occlusale (a) et linguale (b). Abréviation: Sp., spécimen. Échelle. 2 cm.
FIG. 1 in Révision des Équidés (Mammalia, Perissodactyla) du site pléistocène moyen du lac Karâr (Tlemcen, Algérie)
FIG. 1. — Cartes de localisation géographique (A) et topographique (B, d'après Boule 1900) de la station préhistorique du lac Karâr;C, vue du site en février 2016, cliché Y. Sam.
Datasets for "Unexplored Antarctic meteorite collection sites revealed through machine learning"
<p>This archive provides datasets related to the following publication:</p> <p>V. Tollenaar, H. Zekollari, S. Lhermitte, D. Tax, V. Debaille, S. Goderis, P. Claeys, F. Pattyn, Unexplored Antarctic meteorite collection sites revealed through machine learning. Science Advances 8, eabj8138 (2022). <a href="https://doi.org/10.1126/sciadv.abj8138">DOI: 10.1126/sciadv.abj8138</a></p> <p>Contact: Veronica Tollenaar, Veronica.Tollenaar@ulb.be</p> <p>Users should cite the original publication when using all or part of the data. </p> <p>About the datasets: it includes a shapefile with the outline of the 613 Meteorite Stranding Zones (Fig. 7, "613MSZs.zip"), the observations used for classification, and the continent-wide probability to find meteorites (at 450-meter resolution, Fig. 5, "positive_classified.nc"). References to the literature are provided in the corresponding publication. Meteorite locations are based on the Meteoritical Bulletin Database (available at https://www.lpi.usra.edu/meteor/).</p> <p>- bias_above200m1kmbuff_expanded_dissolved: shapefile of polygons of unlabelled observations<br> - meteorite_locations_raw.csv: contains locations of meteorite finds as defined in the meteoritical bulletin consulted on 05/07/2019<br> - meteorite_types.csv: contains meteorite names and types as defined in the meteoritical bulletin consulted on 05/07/2019<br> - validation_neg.csv: contains locations of negative observations used for validation<br> - TEST_neg.csv: contains locations of negative test observations<br> - TEST_pos.csv: contains locations of positive test obesrvations<br> - MSZs_ranked: shapefile of ranked meteorite stranding zones<br> - Test_neg4326: shapefile of locations used as negative test data<br> - Cal_neg4326: shapefile of locations used as negative calibration/validation data<br> - TestMSZs_pos4326: shapefile of locations used as positive test data in MSZ-level assesment<br> - 613MSZs: shapefile of outlines of meteorite stranding zones<br> - positive_classified.nc: netcdf of positive classified observations with their estimated a posteriori probabilities</p>
Wave prediction at MegaRoller installation site
<p>Wave prediction at MegaRoller installation site. This dataset specify the wave characteristics at MegaRoller installation site for power performance and load estimation.</p>
Using species distribution models and decision tools to direct surveys and identify potential translocation sites for a critically endangered species
<p>Aim: Occurrence records for cryptic species are typically limited or highly uncertain, leaving their distributions poorly resolved and hampering conservation. This can apply to well‐studied species, and increased survey effort and/or novel methods are required to improve distribution data. Here, we paired species distribution modelling (SDM) with decision tools to direct surveys for the critically endangered Leadbeater's possum (Gymnobelideus leadbeateri) outside its current restricted range. We also assessed survey areas for their suitability to host translocations.</p> <p>Location: Victoria, Australia.</p> <p>Method: We used both recent and historic records (now out of range and spatially uncertain) of Leadbeater's possum to build SDMs using MaxEnt. The SDMs informed an initial multi‐criteria decision analysis (MCDA) that enabled prioritization of 80 survey sites across seven forest patches (13–145 km outside the known range), which we surveyed using camera traps. Site and vegetation data were used in a post‐survey MCDA to rank their potential translocation suitability.</p> <p>Results: The SDM predictions were consistent with the species' ecology, identifying cold areas with high rainfall that had not recently burnt as suitable. The spatial uncertainty of records did not exert a strong influence on either model predictions or the ranking of patches for surveys. Camera trap surveys yielded records of 19 native species, with Leadbeater's possum detected in only one survey patch, 13 km outside of its previously known range. The post‐survey MCDA identified three forest patches as potentially suitable for conservation translocations, and these priorities were not sensitive to the decision criteria used.</p> <p>Main conclusions: The approach outlined here prioritized survey effort over a large area, resulting in detection of Leadbeater's possum in one new patch. The potential translocation sites identified could present an important risk‐spreading measure for the species given the threat posed by bushfire. Combining SDMs and decision tools can help target surveys and guide subsequent conservation strategies.</p>
Diffraction-Limited Molecular Cluster Quantification with Bayesian Nonparametrics: 20 Binding Site Data A
<p>This is the original data for the manuscript "Diffraction-Limited Molecular Cluster Quantification with Bayesian Nonparametrics" by J Bryan IV, I Sgouralis, and S Presse. This repository contains movies of DNA origami with 20 binding sites. Because this data set is too large to fit in one single repository we have split it up into parts. This is part A</p>
Diffraction-Limited Molecular Cluster Quantification with Bayesian Nonparametrics: 20 Binding Site Data C
<p>This is the original data for the manuscript "Diffraction-Limited Molecular Cluster Quantification with Bayesian Nonparametrics" by J Bryan IV, I Sgouralis, and S Presse. This repository contains movies of DNA origami with 20 binding sites. Because this data set is too large to fit in one single repository we have split it up into parts. This is part C.</p>
Diffraction-Limited Molecular Cluster Quantification with Bayesian Nonparametrics: 20 Binding Site Data B
<p>This is the original data for the manuscript "Diffraction-Limited Molecular Cluster Quantification with Bayesian Nonparametrics" by J Bryan IV, I Sgouralis, and S Presse. This repository contains movies of DNA origami with 20 binding sites. Because this data set is too large to fit in one single repository we have split it up into parts. This is part B.</p>
SMA TB Clinical trial - Soweto site - Short story
<p>In this video a nurse from SMA-TB clinical trial research team from South Africa shows one working day from Soweto, Baragwanath Hospital. She also gives insight about challenges of running a clinical trial during the COVID-19 pandemic. </p> <p>SMA-TB project has received funding from the European Union's Horizon 2020 research and innovation programme under grant ageement No 847762.</p>
Dataset produced by Sagremarisco at Sagres (SW Portugal) pilot site as part of the GAIN project
<p>The dataset includes insitu data collected at the Sagres pilot site, data from Hobo Sensors, data from the moored bouy, remote sensing data correspondent to the pixel of the study site. Includes phytoplankton counts, spectrophotometric chlorophyll as well as HPLC phytoplankton pigments.</p>
Hyytiälä SMEAR II site characteristics
<p>This dataset contains description of site history and the essential characteristics of the forest stand surrounding SMEAR II research station located in Hyytiälä, Finland. The original tree inventory and increment core data are also provided.</p> <p>The dataset consists of following files:</p> <p>1. Description of site history and essential stand and soil characteristics (Hyytiala site description.pdf)</p> <p>2. Stand characteristics, tree biomasses and leaf area index calculated for all biomass inventory plots and for ICOS target stand (Hyytiala stand characteristics.xlsx)</p> <p>3. Table (line_plots.csv) that indicates which biomass sample plots are<br> a) located in the area that was burned in 1962<br> b) thinned in 2002<br> c) inside ICOS target stand</p> <p>4. Cleaned-up tree-wise inventory data collected at the line sampling plots in 2001, 2008, 2012 and 2015 (Biomass inventories.xlsx)</p> <p>5. Cleaned-up core drilling data collected at the line sampling plots in 2012, 2014 and 2016 for pine growth calculations (Core Drilling YYYY.txt, Core Drilling readme.txt)</p>
mDRONES4rivers-project: Portfolios of classification results, UAV and gyrocopter data of project sites situated in riparian zones along federal waterways in Germany with focus on the Rhine River, Germany
<p>Spatially and temporally high-resolution data was acquired with the aid of multispectral sensors mounted on UAV and a gyrocopter platform for the purpose of classification. The work was part of the research and development project „Modern sensors and airborne remote sensing for the mapping of vegetation and hydromorphology along Federal waterways in Germany“ (mDRONES4rivers) in cooperation of the German Federal Institute of Hydrology (BfG), Geocoptix GmbH, Hochschule Koblenz und JB Hyperspectral Devices. </p> <p>Within the project period (2019-2022) data was collected at different sites situated in Germany along the Rivers Rhine and Oder. All published data produced within the project can be found by searching for the keyword ‘mDRONES4rivers‘. </p> <p>In this dataset, the following portfolios of classifications, UAS and gyrocopter data of project sites situated in riparian zones along federal waterways in Germany with focus on the Rhine River are available for download:</p> <p>• Multispectral orthophotos produced with the aid of UAS (PDF, Detailed description of sensors and data acquisition procedure; abbreviation: MS_ORTHO)</p> <p>• RGB-orthophotos and digital surface models produced with the aid of UAS (PDF, Detailed description of sensors and data acquisition procedure; abbreviation: PH_SR_ORTHO_DSM)</p> <p>• Multispectral orthophotos and Digital Surface Models produced with the aid of a gyrocopter (PDF, Detailed description of sensors and data acquisition procedure; abbreviation: PANX_ORTHO_DSM)</p> <p>• Classification results based on UAV- and a gyrocopter data (PDF, Detailed description of processing procedure for different classification levels; abbreviation: CLASSIF_PROD)</p> <p>• German translated version of all above mentioned product portfolios (PDF, abbreviation: product_portfolio_collection_ger)</p>
ScienceDex guides
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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.