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Soil organic carbon content in x 5 g / kg at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution
<p>Soil organic carbon content in × 5 g / kg (to convert to % divide by 2) at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution. The maps are provided using Byte type to significantly reduce file size. Predicted from a global compilation of soil points. Also available for download: soil organic stock maps in in kg / m<sup>2</sup> (<a href="https://doi.org/10.5281/zenodo.1475453">https://doi.org/10.5281/zenodo.1475453</a>) and bulk density maps in kg / m<sup>3</sup> (<a href="https://doi.org/10.5281/zenodo.1475970">https://doi.org/10.5281/zenodo.1475970</a>). Processing steps are described in detail <strong><a href="https://gitlab.com/openlandmap/global-layers/tree/master/soil">here</a></strong>. Antarctica is not included.</p> <p>To access and visualize maps use: <a href="http://www.openlandmap.org/">OpenLandMap.org</a></p> <p>If you discover a bug, artifact or inconsistency in the maps, or if you have a question please use some of the following channels:</p> <ul> <li>Technical issues and questions about the code: <a href="https://gitlab.com/openlandmap/global-layers/issues">https://gitlab.com/openlandmap/global-layers/issues</a> </li> <li>General questions and comments: <a href="https://disqus.com/home/forums/landgis/">https://disqus.com/home/forums/landgis/</a></li> </ul> <p>All files internally compressed using "COMPRESS=DEFLATE" creation option in GDAL. File naming convention:</p> <ul> <li>sol = theme: soil,</li> <li>organic.carbon = variable: soil organic carbon content in x 5 g / kg,</li> <li>usda.6a1c = determination method: laboratory method code,</li> <li>m = mean value,</li> <li>250m = spatial resolution / block support: 250 m,</li> <li>b10..10cm = vertical reference: 10 cm depth below surface,</li> <li>1950..2017 = time reference: period 1950–2017,</li> <li>v0.2 = version number: 0.2,</li> </ul>
Soil organic carbon stock in kg/m2 for 5 standard depth intervals (0–10, 10–30, 30–60, 60–100 and 100–200 cm) at 250 m resolution
<p>Soil organic carbon stock in kg/m<sup>2</sup> for 5 standard depth intervals (0–10, 10–30, 30–60, 60–100 and 100–200 cm) at 250 m resolution. To convert to t/ha multiply by 10. Derived using soil organic carbon content (<a href="https://doi.org/10.5281/zenodo.1475457">https://doi.org/10.5281/zenodo.1475457</a>), bulk density (<a href="https://doi.org/10.5281/zenodo.1475970">https://doi.org/10.5281/zenodo.1475970</a>) and coarse fragments (<a href="https://doi.org/10.5281/zenodo.2525681">https://doi.org/10.5281/zenodo.2525681</a>), predicted from point data at 6 standard depths. Depth to bed rock has been ignored, hence total stocks might be about 10–15% lower then reported. Processing steps are described in detail <strong><a href="https://gitlab.com/openlandmap/global-layers/tree/master/soil">here</a></strong>. Antarctica is not included.</p> <p>To access and visualize maps use: <a href="https://openlandmap.org"><strong>https://openlandmap.org</strong></a></p> <p>If you discover a bug, artifact or inconsistency in the maps, or if you have a question please use some of the following channels:</p> <ul> <li>Technical issues and questions about the code: <a href="https://gitlab.com/openlandmap/global-layers/issues">https://gitlab.com/openlandmap/global-layers/issues</a> </li> <li>General questions and comments: <a href="https://disqus.com/home/forums/landgis/">https://disqus.com/home/forums/landgis/</a></li> </ul> <p>All files internally compressed using "COMPRESS=DEFLATE" creation option in GDAL. File naming convention:</p> <ul> <li>sol = theme: soil,</li> <li>organic.carbon.stock = variable: soil organic carbon stock in kg/m2,</li> <li>msa.kgm2 = determination method: derived from organic carbon content, bulk density and coarse fragments,</li> <li>m = mean value,</li> <li>250m = spatial resolution / block support: 250 m,</li> <li>b0..10cm = vertical reference: 0-10 cm layer below surface,</li> <li>1950..2017 = time reference: period 1950-2017,</li> <li>v0.2 = version number: 0.2,</li> </ul>
Meteor observations and wind estimates from the northern Germany SIMONe radar network on November 5, 2018
<p>This dataset includes meteor observations and wind estimates taken as part of the SIMONe 2018 campaign in northern Germany on November 5, 2018. The files are in netCDF-4 format and follow CF conventions (https://cfconventions.org/). We recommend loading the data using the xarray Python package.</p> <p>The SIMONe 2018 campaign ran from November 2, 2018 through November 9, 2018 in northern Germany. The radar network consisted of two pulsed transmitters in Juliusruh and Collm and a five-element interferometric MIMO-CW transmitter located in Kühlungsborn. Monostatic receiver stations co-located with the pulsed transmitters and six additional receiver stations located in Mechelsdorf, Breege, Neustrelitz, Guderup, Salzwedel, and Bornim were used to form a total of two monostatic and ten bistatic links. The data from these individual links were then processed to detect specular meteor echoes and estimate their parameters, including Doppler shift. The Doppler shifts, imposed by movement of the meteor trail due to the neutral winds, were then used to estimate the 4-D wind field. More details about the campaign can be found in Vierinen et al. (2019). Details for the wind field estimation can be found in Volz et al. (submitted).</p>
PROBA-V Global Dataset 5 km - BHR
<p>In the framework of the Spot/PROBA-V Surface Aerosol Retrieval at MEP (<a href="mailto:SPAR@MEP">SPAR@MEP</a>) ESA project, the CISAR algorithm, originally developed by Rayference for the joint retrieval of surface reflectance, aerosol and cloud single scattering properties, has been applied to PROBA-V observation globally during 2019 at 5km resolution. CISAR retrieves simultaneously the surface reflectance (represented by the RPV model) and the aerosol optical depth (AOD) in all PROBA-V bands plus the AOD at 500nm, with their corresponding pixel-level uncertainty. The retrieval uncertainty results from the propagation of all input, prior and inversion uncertainty through the inversion process. The processing has been performed in the Mission Exploitation Platform (MEP), developed by VITO. This Global Dataset includes the surface reflectance products. Specification on the filename convention, format and content of the products can be found on the Product Specification Document (PSD).</p> <p>The products related to the <a href="https://zenodo.org/record/7462676">aerosol retrieval</a> products.</p>
PROBA-V Global Dataset 5 km - AOT/COT
<p>In the framework of the Spot/PROBA-V Surface Aerosol Retrieval at MEP (<a href="mailto:SPAR@MEP">SPAR@MEP</a>) ESA project, the CISAR algorithm, originally developed by Rayference for the joint retrieval of surface reflectance, aerosol and cloud single scattering properties, has been applied to PROBA-V observation globally during 2019 at 5km resolution. CISAR retrieves simultaneously the surface reflectance (represented by the RPV model) and the aerosol optical depth (AOD) in all PROBA-V bands plus the AOD at 500nm, with their corresponding pixel-level uncertainty. The retrieval uncertainty results from the propagation of all input, prior and inversion uncertainty through the inversion process. The processing has been performed in the Mission Exploitation Platform (MEP), developed by VITO. This Global Dataset includes products for the aerosol retrieval. Specification on the filename convention, format and content of the products can be found on the Product Specification Document (PSD).</p> <p>The products related to the <a href="https://zenodo.org/record/7457917">surface reflectance</a> products.</p>
Influence of Framework n(Si)/n(Al) Ratio on the Nature of Cu Species in Cu-ZSM-5 for NH3-SCR-DeNOx
<ul> <li><strong>Data type</strong>: Experimental spectroscopic measurements, computer simulation and analysis</li> <li>Files are with filename extensions: <strong>DSC</strong>, <strong>DAT</strong>, <strong>m</strong>, <strong>txt</strong></li> <li>Information on <strong>origin of the data</strong>:</li> </ul> <ul> <li>EPR spectroscopic measurements with filename extensions <strong>DSC</strong>, <strong>DTA.</strong></li> <li>EPR spectroscopic simulation and analyses with filename extension <strong>m</strong>.</li> <li>EPR spectra are exported as <strong>txt</strong> files in ASCII format.</li> </ul> <ul> <li>X-band CW-EPR spectroscopic measurements were generated by EMX spectrometer equipped with SHQ cavity produced by Bruker.</li> <li><strong>If the dataset includes multiple files that relate to each other:</strong> <ul> <li>Files in <strong>PARACAT_WP3_20220705_01_CW_Experimental</strong> folder includes X-band CW-EPR spectroscopic measurements; original data are in DTA/DSC and txt formats.</li> <li>Files in <strong>PARACAT_WP3_20220705_02_CW_Simulations</strong> folder includes computer simulations/analyses of the EPR measurements; data are in m and txt formats.</li> </ul> </li> <li><strong>Information on</strong>: <ul> <li>specialized abbreviations: <strong>EPR</strong> – Electron Paramagnetic Resonance, <strong>CW</strong> – Continuous Wave EPR, <strong>exp </strong>– experimental data, <strong>hyd </strong>– cw-EPR spectra related to hydrated state, <strong>dehyd </strong>– cw-EPR spectra related to the dehydrated state, <strong>sim </strong>– simulation data. <strong>Sys </strong>– copper species used for constructing the spin-Hamiltonian in EPR simulations. <strong>Cu-ZSM-5-com </strong>– commercial Cu-ZSM-5. <strong>Cu-ZSM-5-100</strong> – Cu-ZSM-5 synthesized at 100 °C. <strong>Cu-ZSM-5-120</strong> – Cu-ZSM-5 synthesized at 120 °C. <strong>Cu-ZSM-5-150</strong> – Cu-ZSM-5 synthesized at 150 °C.</li> </ul> </li> <li>– Cu-ZSM-5 synthesized at 170 °C. <ul> <li>definitions of variables: <strong>Magnetic field, Temperature.</strong></li> <li>units of measurement: <strong>Gauss (G), K, degree (°), milliTesla (mT)</strong>.</li> </ul> </li> </ul>
Short-Range Electronic Interactions between Vanadium and Molybdenum in Bimetallic SAPO‑5 Catalysts Revealed by Hyperfine Spectroscopy
<ul> <li><strong>Data type</strong>: Experimental spectroscopic measurements, Computer Simulation and Analysis</li> <li>Files are with filename extensions: <strong>DSC</strong>, <strong>DTA</strong>, and <strong>m</strong>.</li> <li>Information on <strong>origin of the data</strong>: <ul> <li>EPR spectroscopic measurements with filename extensions <strong>DSC</strong> and <strong>DTA</strong></li> <li>EPR spectroscopic simulation and analyses with filename extension<strong> m</strong></li> </ul> </li> <li>Are the data <strong>generated</strong> (e.g. by a machine) or <strong>collected</strong> (e.g. by means of a survey)? <ul> <li>X-band CW-EPR spectroscopic measurements were generated by EMX spectrometer equipped with SHQ cavity produced by Bruker.</li> <li>Q-band Pulsed-EPR spectroscopic measurements were generated by ELEXYS 580 EPR spectrophotometer equipped with ER5106QT cavity and ER035 M NMR gaussmeter produced by Bruker.</li> </ul> </li> <li><strong>If the dataset includes multiple files that relate to each other:</strong> <ul> <li>Files in <strong>PARACAT_WP4_20230612_01_CW </strong>folder includes CW-EPR spectroscopic measurements and computer simulations/analyses, original data are in DTA/DSC formats; simulations in m format.</li> <li>Files in <strong>PARACAT_WP4_20230612_02_Pulse</strong> folder includes Pulsed-EPR spectroscopic measurements and computer simulations/analyses, original data are in DTA/DSC formats; files in m format were used to process the data.</li> </ul> </li> <li><strong>Information on</strong>: <ul> <li>specialized abbreviations: <strong>EPR</strong> – Electron Paramagnetic Resonance, <strong>CW</strong> – Continuous Wave EPR, <strong>HYSCORE </strong>– HYperfine Sublevel CORrelation spectroscopy</li> <li>definitions of variables: <strong>Magnetic field, Temperature</strong></li> <li>units of measurement: <strong>Gauss (G), K</strong></li> </ul> </li> </ul>
Augmented emission maps: several petrol and diesel (Euro 5 - 6d-Temp) vehicle-specific augmented emission maps
<p>In order to enable the sharing of data the emission data for vehicles is standardized. The data exchange format contains all data that is applicable for a specific engine taxonomy code.</p> <p>The standardized emission map has a “.map.txt” extension and is also human readable. The files starts with metadata which contains information about:</p> <ul> <li>the engine taxonomy code,</li> <li>total driven kilometers over which the data was gathered,</li> <li>total time in hours over which the data was gathered,</li> <li>the number of vehicles which were tested to create the emission map,</li> <li>the DOI (Digital Object Identifier) reference,</li> <li>Which emission maps are available in the file.</li> </ul> <p>The DOI <a href="http://doi.org/10.5281/zenodo.4268034">10.5281/zenodo</a> refers to a meta-data document that provides the full description of the standardized emission map</p>
Measurements of water column depth at 5 minute intervals in West Falmouth Harbor, West Falmouth, MA, 2016-2025
Water level measurements at 5 minute intervals at the West Falmouth Harbor town dock (West Falmouth, MA, USA), collected during the summer sampling season only. Dates vary by year. Pressures were collected from a pair of Onset HOBO U20L sensors, one submerged in a stilling well and one above the water surface, and depths were calculated in Onset's Hoboware Pro using the Barometric Compenation Assistant. Depths were collected relative to the location of the pressure transducer.
Dissolved inorganic nutrients from CCE LTER process cruises, including 5 macro nutrients from water column bottle sample, 2006 - 2024 (ongoing).
Dissolved inorganic nutrients (phytoplankton macro nutrients) are measured from water column bottle samples from the CCE region (since 2006, ongoing) and include nitrate, nitrite, silicate, phosphate and ammonium. They are analyzed in seawater using a colorimetric assay in which light absorbance is measured versus known standards, and final concentrations are calculated (in µmol/L).
Spartina alterniflora aboveground biomass patterns from Landsat 5 TM imagery (1984-2011) and external driver data used in multivariate analysis.
We used Landsat 5 TM satellite imagery to derive aboveground biomass estimates for the three height classes (tall, medium, short) of Spartina alterniflora on the Centeral Georgia Coast. We used geospatial techniques to scale up in situ measurements of aboveground S. alterniflora aboveground biomass to landscape level estimates using 294 Landsat images acquired between 1984 to 2011. For each scene we extracted data from the same 63 sampling polygons, containing 1,222 pixels covering 1.1 million m^2. Using univariate and linear multiple regression tests, we compared Landsat derived biomass estimates for three S. alterniflora size classes against a suite of abiotic drivers. Drivers included monthly mean values for Altamaha River Discharge, Palmer Drought Severity Index, Standardized Precipitation Index, Mean Sea Level, Precipitation, and Temperature.
Jornada Basin LTER wireless meteorological station at MNORT wind tower site: 5-minute summary data, 2006 - ongoing (provisional)
This dataset contains 5-minute summary data from the MNORT wind tower station. Average air temperature, wind speed and wind direction at multiple heights are measured and calculated based on 1-second scan rate of all sensors located at an automated meteorological station installed at Jornada LTER MNORT site (different than the M-NORT NPP site). Wind speed is measured at 135 cm, 230 cm, 345cm, 705cm, and 1515 cm, wind direction at 250cm and 850cm, and air temperature at 80cm and 1440cm. This climate station is operated by the Jornada LTER Program and this is an ongoing dataset. CAUTION: little to no QA/QC has been applied to this dataset and these data are therefore provisional.
Daily streamflow (Bisley area, 5 stations: Q1, Q2, Q3, Sabana, Puente Roto)
The daily data are summarized to monthly as follows: Daily average CFS are summed for each month and multiplied by 86400 (seconds per day) to yield cubic feet per month. This value is divided by the particular watershed area and multiplied by another conversion factor to yield cm water equivalent depth discharged by each watershed per month. This allows direct hydrologic comparison of watersheds of different sizes. Time series plots illustrate the biennial periodicity of high and low discharges, and particular floods and droughts. October 1970 was the historic flood for PR, recently exceeded during the passage of Hurricane Hortense in September 1996. The historic drought occurred during 1993-1994 and is clearly visible in these records. Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.
Stream water chemistry data for Green Lake 5 outlet, 1984 - ongoing.
This is a summary of major ion concentrations for stream water samples collected from the outlet stream at Green Lake 5.
Water-column conductivity, salinity, dissolved oxygen, turbidity, and pH by deployed sonde during tidal creek lateral exchange measurements approximately every 5 minutes from beginning of flood tide to the following low tide, Rowley, MA, PIE LTER.
Measurement of water-column conductivity, salinity, temperature, dissolved oxygen, turbidity, and pH logged by deployed sonde in tidal creek systems draining predominantly low-elevation marsh dominated by Spartina alterniflora (LM1 and LM2) and high-elevation marsh dominated by Spartina patens (West, Nelson, HM1). Creeks are located in Rowley, MA, PIE LTER.
FIGURE 5 from conference paper AIP Proceedings 2145 "Solid state synthesis of CdS quantum dots through laser direct writing"
<p>The dataset contains two files: the word file describe the type of sample examined and the procedure used to obtain the DOIs used to obtain the plots. The second file is the excel file that includes the raw data used to obtain the plots reported in the figure 5 of the paper.</p> <p>In the following is reported the description of figure 5 as written in the paper:</p> <p>PL emission of CdDBX QDs synthetized with scanlines at 355 nm, 10 ps overlapping pulse of about 99.5% and</p> <p>pulse energy varied between 4.67 to 7.6 μJ. (a), (b) and (c) are respectively the emission in blue, green and red range as defined</p> <p>in methodology. Graph (d) shows the change of the ratio between the red and green emission from the same point. Point “X” is</p> <p>censored and not used to fit the model.</p>
(Cp*2Yb)2(taphen)PdMe2, bis(bis(pentamethyl)ytterbium)(4,5,9,10,tetraazaphenanthrene)dimethylpalladium
<p>The dataset contains the raw data for the compound (Cp*2Yb)2(taphen)PdMe2</p>
(taphen)PtMe2, (4,5,9,10,tetraazaphenanthrene)dimethylplatinum
<p>The dataset contains the raw data for the compound (taphen)PtMe2</p>
(Cp*2Yb)2(taphen)PtMe2, bis(bis(pentamethyl)ytterbium)(4,5,9,10,tetraazaphenanthrene)dimethylplatinum
<p>The dataset contains the raw data for the compound (Cp*2Yb)2(taphen)PtMe2</p>
(taphen)PdMe2, (4,5,9,10,tetraazaphenanthrene)dimethylpalladium
<p>The dataset contains the raw data for the compound (taphen)PdMe2</p>
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.