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edi52/100

Vertical fluxes of particulate carbon, nitrogen and phosphorus from a sediment trap deployed west of Palmer Station, Antarctica at a depth of 170 meters, 1992-2019.

Particulate organic matter is exported from the upper ocean euphotic zone in the form of large sinking particles and as dissolved material. Particle fluxes to depth link the surface and mesopelagic realm and supply food to the benthos. Sedimentation flux is typically measured with sediment traps of various designs. Palmer LTER has deployed a time-series trap near 64.5degrees S, 66.0degrees W since late 1992. The trap is moored in 300 m depth and collects sinking particles at 150 m. Deployments and analyses were performed by David Karl, University of Hawaii until 2002 when Hugh Ducklow took over the sediment trap operations.Sedimentation at the PAL site of the West Antarctic Peninsula demonstrates extreme seasonality, with a well-defined pulse in the Austral summer following sea ice retreat. Daily sedimentation rates during the summer flux event are among the highest recorded globally. During the Austral winter when the ocean is covered by sea ice and shrouded in darkness, fluxes are among the lowest observed anywhere. Sedimentation rates at PAL typically vary by 4 orders of magnitude. There is also order of magnitude variability in the total annual flux (area under the curve).

openCC (other)Feb 2022View details →

edi52/100

Average monthly sea ice coverage for various PAL LTER sub-regions West of the Antarctic Peninsula derived from passive microwave satellite data, 1978 - June 2024.

Monthly sea ice coverage derived from passive microwave satellite measurements and extracted for various PAL LTER subregions. Several different sea-ice metrics are provided including (1) monthly sea-ice extent, sea-ice area, and open-water area (km^2) extracted for the greater WAP region (from the AP to 80W) and for 3 PAL LTER grid regions: the original PAL grid (000-900 lines), the PAL 'DSR' grid (200-600 lines), and the PAL 'new' grid (-200 to 600 lines); and (2) monthly sea-ice concentration (%) extracted for small PAL subregions, including the nominal penguin foraging areas (~200km by ~200km) southwest of King George Island (KGI), Anvers, Avian and Charcot islands, as well as for Marguerite Bay (~140km by ~140km) (inland of the area defined for Avian).

openCC (other)Aug 2024View details →

edi52/100

Average yearly sea ice coverage for various PAL LTER sub-regions West of the Antarctic Peninsula derived from passive microwave satellite data, 1979 - 2023.

Annual sea ice coverage derived from passive microwave satellite measurements and extracted for various PAL LTER subregions. Several different sea-ice metrics are provided including: monthly sea-ice extent, sea-ice area, and open-water area (km^2) extracted for the greater WAP region (from the AP to 80W) and for 3 PAL LTER grid regions: the original PAL grid (000-900 lines), the PAL 'DSR' grid (200-600 lines), and the PAL 'new' grid (-200 to 600 lines).

openCC (other)Aug 2024View details →

zenodo48/100

Enrichment index related to seamounts and islands in the South West Indian Ocean from chlorophyll-a satellite remote sensing data

This data set is the result of the calculation of an original “enrichment index” (EI) from chlorophyll-a (chl-a) remote sensing data (MODIS-Aqua sensor) and initially dedicated to highlight localized chl-a enrichments associated to isolated seamounts and islands in the South West Indian Ocean, in order to estimate their contribution in increasing the local primary productivity. Details and results are described in the DSR-II paper entitled “Satellite observations of phytoplankton enrichments around seamounts in the South West Indian Ocean with a special focus on the Walters Shoal” from Demarcq et al. 2020.     1. Initial data used We used daily L3 data chl-a and sea surface temperature (SST) collected by the MODIS (Moderate-resolution Imaging Spectroradiometer) sensor on board the Aqua platform (downloaded from https://oceancolor.gsfc.nasa.gov/) from January 2003 to December 2018. This has  a spatial resolution of 1/24° (ca. 4.5–5 km). The data covers the region  (45°S – 10°S / 25°W – 80°W).     2. The calculation method The calculations were done at the pixel level. The EI is the difference (expressed in %) between the value of each ‘candidate pixel’ and its medium range surrounding, defined as the average value of all chl-a values around the candidate pixel between a fix range of distance between 30 and 90 km, the R1 and R2 terms of the equation enclosed.     3. Data sets The data set contains two files:   - the monthly climatology (12 frames) of the EI from January to December (2003 to 2018 average), in an internally compressed netCDF-4 format (NC-compliant or almost)   - the yearly average of the EI (period 01/2003 - 12/2018) Two images are joined with this data set:   -  a "technical view" of the yearly average of the index for the full region sub-region (45°S – 10°S / 25°W – 80°W)      (file: indsw4_modis_p100_4km_16y_20030101_20181231.R2018.0.enrichment-index.dist-30-90km.png).   -  a slightly improved view of the yearly average of the index for the sub-region (40°S – 10°S / 30°W – 70°W).      (file: Figure-enrichment-index.pdf) An improved version of this index will be available in a near future.

opencc-by-4.0May 2020View details →

zenodo48/100

Malda Museum, Malda, West Bengal. Inscribed Avalokiteśvara, detail.

Malda Museum, Malda, West Bengal. Inscribed Avalokiteśvara, from Habibpur, detail of the inscription, circa 12th century, as documented in 2007.

opencc-by-4.0Jun 2017View details →

zenodo48/100

UAV-based orthomosaic and digital elevation model of a basalt outcrop on Disko Island, West Greenland

This data set contains an RGB survey conducted with an unoccupied aerial vehicle (UAV) over a flat basaltic outcrop (intrusive and flood volcanics), surrounded by boreal vegetation (Salix species). <ul> <li>Acquisition date: 13.08.2019</li> <li>Location: Qullissat (Qutdlikssat), Disko Island, Greenland</li> <li>UAV: DJI Mavic 1 Pro</li> <li>Flight altitude above ground level: 75 m</li> <li>Image Overlap forward/side: 70 % / 70 %</li> <li>Camera: RGB</li> <li>EPSG: 32622</li> <li>Center coordinates: 70.05330°N, -52.97780°E</li> <li>Flight mode: manual image acquisition</li> </ul> Data products:  <ul> <li>Orthomosaic RGB 2.3 cm pixel resolution</li> <li>DEM 5cm pixel resolution</li> <li>Processing in Agisoft Metashape</li> <li>Data coverage: approx. 250 x 360 m</li> </ul> Acknowledgements MULSEDRO field campaign was conducted under scientific survey licence (VU-00158-2019) within mineral exploration licence MEL 2018-16 by Blue Jay Mining PLC. This research has been supported by the project MULSEDRO, funded by HZDR-HIF & EITRawMaterials (project ID 16193) and the European Union.

opencc-by-4.0Mar 2024View details →

zenodo48/100

Cathedral (Cathédrale Notre-Dame). Interior. West façade. The rose window. 2

opencc-by-4.0Mar 2024View details →

zenodo48/100

Cathedral (Cathédrale Notre-Dame). Exterior. West façade. West façade. North porch. A statue.

File Name: PM_144073_F_Reims Sublocation: Cathédrale Notre-Dame Location: Reims Province: Grand Est, Marne Country: France Header: Vue de l'extérieur, la façade occidentale, le portail nord, à gauche, "l'ange au sourire" Description: Cathedral (Cathédrale Notre-Dame). Exterior. West façade. West façade. North porch. A statue. Author: Photo: Paul M.R. Maeyaert Author Mail: PMRMaeyaert@gmail.com Copyright: © Paul M.R. Maeyaert,pmrmaeyaert@gmail.com Keywords: Europe|France; Europe|France|Grand Est; Europe|France|Grand Est|Marne; Europe|France|Grand Est|Marne|Reims; Cultural heritage|Monuments|Cathedral; Cultural heritage|Monuments; Cultural heritage Date of Generation: 2022-04-28T12:31:08+02:00

opencc-by-4.0Mar 2024View details →

zenodo48/100

Cathedral (Cathédrale Notre-Dame). Exterior. West facade. South portal. Statues.

File Name: PM_150038_F_Strasbourg Sublocation: Cathédrale Notre-Dame Location: Strasbourg Province: Gand-Est, Bas-Rhin Country: France Header: La façade méridionale, le portail latéral sud, statues le Tentateur et "Les vierges follessur" le piédroit gauche Description: Cathedral (Cathédrale Notre-Dame). Exterior. West facade. South portal. Statues. Author: Photo: Paul M.R. Maeyaert Author Mail: PMRMaeyaert@gmail.com Copyright: © Paul M.R. Maeyaert; pmrmaeyaert@gmail.com Keywords: Europe|France; Europe|France|Grand Est; Europe|France|Grand Est|Bas-Rhin; Europe|France|Grand Est|Bas-Rhin|Strasbourg; Cultural heritage|Monuments|Cathedral; Cultural heritage|Monuments; Cultural heritage Date of Generation: 2023-08-14T13:20:51+02:00

opencc-by-4.0Mar 2024View details →

zenodo48/100

Cathedral (Cathédrale Notre-Dame). Interior. The nave. East to West.

File Name: PM_144121_F_Reims Sublocation: Cathédrale Notre-Dame Location: Reims Province: Grand Est, Marne Country: France Header: Intérieur de la nef, est-ouest Description: Cathedral (Cathédrale Notre-Dame). Interior. The nave. East to West. Author: Photo: Paul M.R. Maeyaert Author Mail: PMRMaeyaert@gmail.com Copyright: © Paul M.R. Maeyaert,pmrmaeyaert@gmail.com Keywords: Europe|France; Europe|France|Grand Est; Europe|France|Grand Est|Marne; Europe|France|Grand Est|Marne|Reims; Cultural heritage|Monuments|Cathedral; Cultural heritage|Monuments; Cultural heritage Date of Generation: 2022-04-28T13:03:37+02:00

opencc-by-4.0Mar 2024View details →

zenodo48/100

Cathedral (Cathédrale Notre-Dame). Interior. West façade. The rose window.

opencc-by-4.0Mar 2024View details →

zenodo48/100

X-ray diffraction laboratory investigation for the Eptachori, Pentalofos and Tsotyli formations in West Macedonia

The data comprises work under the Project Pilot Strategy GA No. 101022664, funded by the European Union.  The work relates to rock samples collected in 2022 in West Macedonia, Greece. For full details, please refer to the following: <ol> <li>Tsotyli formation: <a href="https://app.geosamples.org/sample/igsn/IE5770001">https://app.geosamples.org/sample/igsn/IE5770001</a> - WGS84 Lat : 40.3075, WGS84 Long : 21.3354</li> <li>Pentalofos formation:  <a href="https://app.geosamples.org/sample/igsn/IE5770002">https://app.geosamples.org/sample/igsn/IE5770002</a> - WGS84 Lat : 40.1332, WGS84 Long : 21.1997</li> <li>Eptachori formation: <a href="https://app.geosamples.org/sample/igsn/IE5770003">https://app.geosamples.org/sample/igsn/IE5770003</a> - WGS84 Lat : 40.1332, WGS84 Long : 21.1997</li> </ol> The focus of the work is related to CO2 storage in appropriate saline aquifers in West Macedonia. Here are listed the raw results from the X-ray diffraction laboratory investigation. XRD equipment: Bruker D8 Advance Configuration parameters for XRD analysis:  <table> <tbody> <tr> <td>Type</td> <td>Locked couple</td> </tr> <tr> <td>Start</td> <td>3.000 degrees</td> </tr> <tr> <td>End</td> <td>93.009 degrees</td> </tr> <tr> <td>Step</td> <td>0.019 degrees</td> </tr> <tr> <td>Step time</td> <td>96s </td> </tr> <tr> <td>Temp</td> <td>25 centigrade (room) </td> </tr> <tr> <td>Time started</td> <td>0s</td> </tr> <tr> <td>2-Theta</td> <td>3.000 degrees</td> </tr> <tr> <td>Theta</td> <td>1.500 degrees</td> </tr> </tbody> </table>

opencc-by-4.0Mar 2024View details →

zenodo48/100

Wind power plants layouts according to arbitrary reference points, Thanet, West of Duddon Sands, Ormonde, Westermost Rough, Horns Rev 1 & 2, Anholt, and London Array

If this dataset helps your research, please cite it and the papers further below (according to which OWPP you study). This dataset contains the layouts of the Thanet, West of Duddon Sands, Ormonde, Westermost Rough, Horns Rev 1 & 2, Anholt, and London Array offshore wind power plants (OWPPs), which can be utilized in a variety of studies.  The X and Y coordinates, in kilometers, were written according to arbitrary reference points. The positions of wind turbine generators (WTGs) and substations (SS) for the OWPPs came from the sources below. Thanet: WTGs from [1] (page 7), SS based on [3] (page 9). West of Duddon Sands: WTGs from [2] (page 5), SS based on [3] (page 9). Ormonde: WTGs and SS from [4] (page 2). Westermost Rough:  WTGs and SS from [5] (page 4). Horns Rev 1: WTGs and SS from [6] (page 6). Horns Rev 2: WTGs and SS from [7] (page 5). Anholt: WTGs and SS from [8] (page 3). London Array: WTGs from [9] (page 15), SS based on [10] (page 2). From the OWPPs' layout figures [1-9], I used Graph Grabber 2.0.2* to extract the data points. Then, based on visual inspection of layouts in [1-9], I utilized 2D projections to align WTGs that should be aligned. References [1], [2], and [9] do not provide the SS positions. Thus, I carefully overlapped the layouts with other layouts from [3] and [10] to approximate the SS locations. Regarding the arbitrary reference points for the coordinates, although the values in the X and Y axes differ from [1-9], note that the distances among the WTGs are the same from [1-9]. Furthermore, there are no axes in [1,5]. Instead, distances are given, which are enough to obtain the layout. Values in meters were converted to kilometers. As seen in the attachments, the coordinates can be obtained via either "h5" or "csv" files, which can be easily read by Matlab, Julia, and Python, among others. The name of the datasets in the "h5" file are: "Thanet", "WDS", "Ormonde", "WMR", "HornsRev1", "HornsRev2", "Anholt", and "LondonArray". Except for the London Array OWPP,  the first row in all data matrices represents the SS coordinates, whereas the subsequent rows represent the WTGs. London Array has 2 substations, thus the first and second rows represent their coordinates. In all matrices, the first and second columns are the X and Y coordinates, respectively. *<a href="https://www.quintessa.org/software/downloads-and-demos/graph-grabber-2.0.2">Graph Grabber 2.0.2 | Downloads And Demos | Software | Quintessa Limited | Scientific and Mathematical Consultancy</a>

opencc-by-4.0Apr 2024View details →

Figshare48/100

The Blue Carbon of Southern South West Atlantic salt marshes and their biotic and abiotic drivers

Organic carbon stocks, salt marsh plant biomass, crab burrow abundances and diameters. This data was generated by sampling at 11 salt marsh sites along 3000 km of coastal line in southern SW Atlantic coast in South America. Organic carbon stocks and burial rates extarcted from other publications and used to update global estimates are also included with their respective references. Values of biotic and abiotic drivers included in the Structural Equation Model (SEM) to evaluate their roles in belowground organic carbon stocks.

opencc-by-4.0Dec 2022View details →

zenodo48/100

Data for "Modelling soil carbon stocks following reduced tillage intensity: a framework to estimate decomposition rate constant modifiers for RothC-26.3, demonstrated in north-west Europe"

Dataset of paired observations of conventional tillage (CT) with no tillage (NT) and reduced tillage (RT) from studies in temperate oceanic regions of Western Europe, extracted from a recent systematic review (Jordon et al. preprint, see DOI below). R code of modelling framework to estimate tillage rate modifiers (TRM) for simulating adoption of RT and NT using RothC-26.3, and meta-estimates of TRM across studies.

opencc-by-4.0Sep 2021View details →

zenodo48/100

Thermophysical properties for the published article "Experiments and modelling on ASDEX Upgrade and WEST in support of tool development for tokamak reactor armour melting assessments"

In order to model the macroscopic metallic melt motion realized in the poor-versus-efficient thermionic emitter leading edge exposures in the ASDEX-Upgrade outer divertor [1], the material library of the MEMENTO melt dynamics code, that previously only concerned tungsten [2] and beryllium [3], had to be extended to iridium and niobium.  Reliable experimental data have been analyzed for the latent heats, specific isobaric heat capacity, electrical resistivity, thermal conductivity, mass density, vapor pressure, work function, total hemispherical emissivity and absolute thermoelectric power from the room temperature up to the normal boiling point of iridium and niobium as well as for the surface tension and the dynamic viscosity across the liquid state. Analytical expressions are recommended for the temperature dependence of these thermophysical properties, which involve high temperature extrapolations given the absence of extended liquid iridium and liquid niobium measurements. The analytical expressions, the details of their construction and the main references are included in the accompanying pdf. [1] S. Ratynskaia, K. Paschalidis, P. Tolias, K. Krieger, Y. Corre, M. Balden, M. Faitsch, A. Grosjean, Q. Tichit, R.A. Pitts, the ASDEX-Upgrade team, the WEST team and the Eurofusion MST1 team, "Experiments and modelling on ASDEX Upgrade and WEST in support of tool development for tokamak reactor armour melting assessments", Nucl. Mater. Energy 33 (2022) 101303. [2] P. Tolias, "Analytical expressions for thermophysical properties of solid and liquid tungsten relevant for fusion applications", Nucl. Mater. Energy 13 (2017) 42. [3] P. Tolias, "Analytical expressions for thermophysical properties of solid and liquid beryllium relevant for fusion applications", Nucl. Mater. Energy 31 (2022) 101195.

opencc-by-4.0Jun 2022View details →

zenodo48/100

West Texas Lightning Mapping Array - KTaL 2015-2016

West Texas Lightning Mapping Array data collected near Lubbock, Texas as part of the Kinematic Texture and Lightning (KTaL) field campaign in 2015-2016. Includes VHF source locations and clustered flashes and their physical properties. Data are a subset of the full record, corresponding to the storms studied in a forthcoming publication.

opencc-by-4.0Feb 2021View details →

zenodo48/100

Gridded depth and accumulation products from dated airborne radar stratigraphy over West Antarctica during the mid-Holocene, v.1.0.0

This dataset comprises of codes (written in MATLAB) and gridded files (exported as GeoTIFF) presented in Bodart et al. (2023; The Crysophere; <a href="https://doi.org/10.5194/tc-2022-199">https://doi.org/10.5194/tc-2022-199</a>). A summary of the key findings from this study is provided as follows: "Using a spatially extensive IRH over Pine Island Glacier, Thwaites Glacier, and Institute and Möller Ice Streams (covering a total of 610 000 km2 or 30% of the WAIS), and a local layer approximation model, we infer mid-Holocene accumulation rates over the slow-flowing parts of these catchments for the past ~4700 years. By comparing our results with modern climate reanalysis models (1979 – 2019) and observational syntheses (1651 – 2010), we estimate that accumulation rates over the Amundsen-Weddell-Ross divide were on average 18% higher during the mid-Holocene than modern rates. However, no significant spatial changes in the accumulation pattern were observed." This dataset contains a series of files (5x .m files, 10x .tif files). The numbering of the figures in the description below refers to the order of the figures in the associated paper. <ul> <li> 5x MATLAB files: <ul> <li>Calculate_accumulation_rates.m: calculates accumulation rates for the mid-Holocene-to-present, as well as uncertainties associated with the age and model structural uncertainty;</li> <li>Calculate_D_parameter.m: calculates the D parameter (and associated L_path, L_H and L_b) to assess the feasability of the LLA over our grid;</li> <li>Calculate_longitudinal_strain_rates.m: calculates the longitudinal strain rates over our grid from modern ice-flow velocities;</li> <li>Calculate_vertical_strain_rates.m: calculates vertical strain rates for the mid-Holocene-to-present part of the ice column from accumulation estimates;</li> <li>Resample_IRH_data.m: Re-samples the along-track IRH data into evenly distributed 500-m points for speeding up the gridding and calculations of accumulation rates;  </li> </ul> </li> <li>10x GeoTIFF files: <ul> <li>Holocene_IRH_depth_Fig2a.tif: Figure 2a;</li> <li>Holocene_accumulation_rates_Fig3a.tif: Figure 3a;</li> <li>Difference_Holocene_accumulation_RACMO2_Fig3c.tif: Figure 3c;</li> <li>Relative_difference_Holocene_accumulation_RACMO2_Fig4.tif: Figure 4;</li> <li>D_parameter_FigS1d.tif: Figure S1d;</li> <li>Holocene_vertical_strain_rates_FigS2a.tif: Figure S2a;</li> <li>Longitudinal_strain_rates_FigS2b.tif: Figure S2b;</li> <li>Holocene_accumulation_lower_uncertainty_FigS4a.tif: Figure S4a;</li> <li>Holocene_accumulation_upper_uncertainty_FigS4b.tif: Figure S4b;</li> <li>Holocene_accumulation_relative_uncertainty_FigS4c.tif: Figure S4c;</li> </ul> </li> </ul> Please also cite the associated paper when using this dataset. Any questions, please direct them to the corresponding author, Julien Bodart (julien.bodart@ed.ac.uk).

opencc-by-4.0Mar 2023View details →

zenodo48/100

Water quality in a basin for drinking water in the North-West of Italy (2022-2023)

Information about water quality in La Loggia basin was collected in different seasons in 2022 and 2023, both on the basin surface and at different depths. Samples were collected and analysed in lab, for the following parameters: <ul> <li>Total chlorophyll</li> <li>Blue-green algae</li> <li>Diatoms</li> <li>Green algae</li> <li>Planktothrix</li> <li>Transparency</li> <li>Temperature</li> <li>Dissolved oxygen</li> <li>pH</li> <li>Conductivity</li> <li>Turbidity</li> <li>Bromide</li> <li>Bromate</li> <li>Chloride</li> <li>Chlorite</li> <li>Chlorate</li> <li>Fluoride</li> <li>Nitrite</li> <li>Nitrate</li> <li>Orthophosphate</li> <li>Sulfates</li> </ul> Samples were collected in the same dates of Sentinel-2 passages, in order to be used for the of satellite derived water quality products. The shared data are not representative of drinking water distributed to users, since a multi-step treatment is performed on raw water in order to assure water safety and law-compliant quality standards. The coordinates of the sampling points are also available in the dataset.

opencc-by-4.0Aug 2023View details →

edi48/100

2021-2022 West False River Emergency Drought Barrier water quality, flow, and fish monitoring

To manage the critically low 2021 water supply for beneficial uses, DWR installed the temporary emergency drought barrier (EDB) on West False River in the Sacramento–San Joaquin Delta (Delta), approximately 5 miles south of Rio Vista, California, in Contra Costa County in June 2021. To monitor the effectiveness and impacts of the EBD, a monitoring program was initiated to track changes in hydrodynamics, water quality, fish, harmful algal blooms, and aquatic weeds in the vicinity of the EDB. The EDB was left in place during the winter of 2021-2022 and removed in fall of 2022. This data set includes all data collected as part of that monitoring program and subsets of ongoing monitoring programs that were used in the final effectiveness report for the EDB.

openCC (other)Jun 2024View details →

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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