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7,169 results for “30”
Global Soil Bioclimatic variables at 30 arc second resolution
<p>Soil temperature layers were calculated by adding monthly soil temperature offsets to monthly air-temperature maps from CHELSA (date range 1979-2013) (Karger et al. 2017, Sci Data). These soil temperature layers were then used to calculate annual means, temperature ranges, standard deviation, warmest and coldest months and quarters. Wettest and driest quarters were identified for each pixel based on CHELSA monthly values. A quarter is a period of three months (1/4 of the year).</p> <p>When using any of these layers, please cite: Lembrechts et al., Global maps of soil temperature (2021). Global Change Biology. DOI: <a href="https://onlinelibrary.wiley.com/doi/full/10.1111/gcb.16060">10.1111/gcb.16060</a></p> <p>For each Soil Bioclim layer, two depth intervals are available: 0 - 5 cm and 5 - 15 cm.</p> <p>We have followed the generally accepted definitions of BIO 1 - BIO 11: </p> <ul> <li>SBIO1 = Annual Mean Temperature</li> <li>SBIO2 = Mean Diurnal Range (Mean of monthly (max temp - min temp))</li> <li>SBIO3 = Isothermality (BIO2/BIO7) (×100)</li> <li>SBIO4 = Temperature Seasonality (standard deviation ×100)</li> <li>SBIO5 = Max Temperature of Warmest Month</li> <li>SBIO6 = Min Temperature of Coldest Month</li> <li>SBIO7 = Temperature Annual Range (BIO5-BIO6)</li> <li>SBIO8 = Mean Temperature of Wettest Quarter</li> <li>SBIO9 = Mean Temperature of Driest Quarter</li> <li>SBIO10 = Mean Temperature of Warmest Quarter</li> <li>SBIO11 = Mean Temperature of Coldest Quarter</li> </ul> <p>These layers are also publicly available as Google Earth Engine assets. These are acessible via:</p> <ul> <li><a href="https://code.earthengine.google.com/?asset=projects/crowtherlab/soil_bioclim/SBIO_v1_0_5cm">https://code.earthengine.google.com/?asset=projects/crowtherlab/soil_bioclim/SBIO_v2_0_5cm</a></li> <li><a href="https://code.earthengine.google.com/?asset=projects/crowtherlab/soil_bioclim/SBIO_v1_5_15cm">https://code.earthengine.google.com/?asset=projects/crowtherlab/soil_bioclim/SBIO_v2_5_15cm</a></li> </ul> <p>Also available are monthly maps of soil temperature, for two depth intervals (0-5 cm and 5-15 cm). For example, the soil temperature map for month 1 (January) at 0-5 cm is named soilT_1_0_5cm.tif'. </p> <p>To mask pixels by the proportion of extrapolation, the files 'PCA_int_ext_0_5cm.tif' and 'PCA_int_ext_5_15cm.tif' can be used. </p>
Daily maps for global daylight length at 30 arc seconds resolution (2022)
<p>Overview:<br> Daily maps for global daylight length, calculated for the year 2022.</p> <p>Processing steps:<br> For each day within the year 2022, the photoperiod (sunshine hours on flat terrain) are calculated using the SOLPOS algorithm developed by the National Renewable Energy Laboratory (NREL), USA. Resultant values have been converted from hours to minutes.</p> <p>File naming scheme (DDD = day within year) (min is abbreviation for minute):<br> <code>daylight_min_2022_DDD.tif</code></p> <p>Projection + EPSG code:<br> Latitude-Longitude/WGS84 (EPSG: 4326)</p> <p>Spatial extent:<br> north: 90<br> south: -90<br> west: -180<br> east: 180</p> <p>Spatial resolution:<br> 30 arc seconds (approx. 1000 m)</p> <p>Temporal resolution:<br> Daily</p> <p>Pixel values:<br> unit: minutes</p> <p>Software used:<br> GDAL 3.2.2 and GRASS GIS 8.2.0</p> <p>License: CC-BY-SA 4.0</p> <p>Processed by:<br> mundialis GmbH & Co. KG, Germany (<a href="https://www.mundialis.de/">https://www.mundialis.de/</a>)</p> <p>Reference: National Renewable Energy Laboratory (NREL): SOLPOS 2.0 sun position algorithm (https://www.nrel.gov/grid/solar-resource/solpos.html)</p>
MONNALISA_NUM_DA_45_SA_30_AR_5_TR_0.4_Delta_-15
Upload of the numerical solutions for the Reference plane of the MONNALISA Project. Please, refer to the README file of this folder and to the articles associated.
MONNALISA_NUM_DA_45_SA_30_AR_5_TR_0.4_Delta_-35
Upload of the numerical solutions for the Reference plane of the MONNALISA Project. Please, refer to the README file of this folder and to the articles associated.
MONNALISA_NUM_DA_0_SA_30_AR_5_TR_0.4_Delta_-5
Upload of the numerical solutions for the Reference plane of the MONNALISA Project. Please, refer to the README file of this folder and to the articles associated.
MONNALISA_NUM_DA_45_SA_30_AR_5_TR_0.4_Delta_-10
Upload of the numerical solutions for the Reference plane of the MONNALISA Project. Please, refer to the README file of this folder and to the articles associated.
MONNALISA_NUM_DA_0_SA_30_AR_5_TR_0.4_Delta_15
Upload of the numerical solutions for the Reference plane of the MONNALISA Project. Please, refer to the README file of this folder and to the articles associated.
MONNALISA_NUM_DA_45_SA_30_AR_5_TR_0.4_Delta_-5
Upload of the numerical solutions for the Reference plane of the MONNALISA Project. Please, refer to the README file of this folder and to the articles associated.
MONNALISA_NUM_DA_0_SA_30_AR_5_TR_0.4_Delta_-10
Upload of the numerical solutions for the Reference plane of the MONNALISA Project. Please, refer to the README file of this folder and to the articles associated.
MONNALISA_NUM_DA_45_SA_30_AR_5_TR_0.4_Delta_10
Upload of the numerical solutions for the Reference plane of the MONNALISA Project. Please, refer to the README file of this folder and to the articles associated.
MONNALISA_NUM_DA_0_SA_30_AR_5_TR_0.4_Delta_30
Upload of the numerical solutions for the Reference plane of the MONNALISA Project. Please, refer to the README file of this folder and to the articles associated.
MONNALISA_NUM_DA_45_SA_30_AR_5_TR_0.4_Delta_15
Upload of the numerical solutions for the Reference plane of the MONNALISA Project. Please, refer to the README file of this folder and to the articles associated.
MONNALISA_NUM_DA_0_SA_30_AR_5_TR_0.4_Delta_-35
Upload of the numerical solutions for the Reference plane of the MONNALISA Project. Please, refer to the README file of this folder and to the articles associated.
MONNALISA_NUM_DA_0_SA_30_AR_5_TR_0.4_Delta_-25
Upload of the numerical solutions for the Reference plane of the MONNALISA Project. Please, refer to the README file of this folder and to the articles associated.
MONNALISA_NUM_DA_45_SA_30_AR_5_TR_0.4_Delta_30
Upload of the numerical solutions for the Reference plane of the MONNALISA Project. Please, refer to the README file of this folder and to the articles associated.
MONNALISA_NUM_DA_45_SA_30_AR_5_TR_0.4_Delta_0
Upload of the numerical solutions for the Reference plane of the MONNALISA Project. Please, refer to the README file of this folder and to the articles associated.
MONNALISA_NUM_DA_45_SA_30_AR_5_TR_0.4_Delta_35
Upload of the numerical solutions for the Reference plane of the MONNALISA Project. Please, refer to the README file of this folder and to the articles associated.
MONNALISA_NUM_DA_45_SA_30_AR_5_TR_0.4_Delta_25
Upload of the numerical solutions for the Reference plane of the MONNALISA Project. Please, refer to the README file of this folder and to the articles associated.
MONNALISA_NUM_DA_45_SA_30_AR_5_TR_0.4_Delta_5
Upload of the numerical solutions for the Reference plane of the MONNALISA Project. Please, refer to the README file of this folder and to the articles associated.
MONNALISA_NUM_DA_45_SA_30_AR_5_TR_0.4_Delta_20
Upload of the numerical solutions for the Reference plane of the MONNALISA Project. Please, refer to the README file of this folder and to the articles associated.
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)
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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.