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FEL source input for simex_platform tutorial
<p>Simulated x-ray pulse for European XFEL SASE1 beamline 20pC bunch charge (ca. 3 fs pulse duration), undulator length nzc=35, 4.96 keV photon energy.</p> <p>To be used as input file for the simex_platform tutorial on single particle imaging (www.github.com/eucall-software/simex_platform/wiki/SimEx-Tutorial)</p>
Preindustrial Control (PIC) Run for OSU-UVic2.9.10 (MOBI2.2) Input Data
<p>Input data required for a simulation of the preindustrial control (PIC) simulation with the OSU version of the University of Victoria climate model (version 2.9) with the Model of Ocean Biogeochemistry and Isotopes (MOBI2.2).</p>
Last Glacial Maximum (LGM) Run for UVic2.9.10 (MOBI2.2) Input Data
<p>Input data required for a simulation of the Last Glacial Maximum (LGM) simulation with the OSU version of the University of Victoria climate model (version 2.9.10) with the Model of Ocean Biogeochemistry and Isotopes (MOBI2.2).</p>
Supplementary input data for accounting for component condition and preventive retirement in power system reliability of supply analyses
<div> <div>This data set contains supplementary data used for case studies on accounting for transformer condition in reliability of supply analyses in the following manuscripts: <br>1) H. Toftaker, J. Foros, I. B. Sperstad, "Accounting for component condition and preventive retirement in power system reliability of supply analyses", IET Generation, Transmission & Distribution, vol. 5, no. 1, 2023, DOI: 10.1049/gtd2.12761. <br>2) I. Bjerkebæk, I. B. Sperstad, H. Toftaker, G. Kjølle, "Simulating the Long Term Effect of Asset Management Strategies on Reliability of Supply", pre-print submitted for peer review, 2024. DOI: 10.36227/techrxiv.172107759.95745501/v1.</div> <div> See README.md for details.</div> </div>
Arquivos input-forms configurados para incorporação de acervos audiovisuais ao DSpace
<p>Arquivos <em>input-forms</em> em xml e txt configurados para incorporação de acervos audiovisuais ao software DSpace, fazendo parte de um dos resultados de pesquisa da dissertação intitulada Gestão de acervos audiovisuais em repositórios, sob orientação da Prof.ª Dra. Maria Giovanna Guedes Farias e coorientação do Prof. Dr. Luiz Tadeu Feitosa.</p>
quetzal_germany_input_static
<p>This datapackage contains various input data for generation of transport models within the region of Germany. The open source transport model quetzal_germany requires these files for its modelling steps and validation. The whole model can be found on github: <a href="https://github.com/marlinarnz/quetzal_germany">https://github.com/marlinarnz/quetzal_germany</a></p>
Input Dataset for Estimating Continuous Soil Water Retention Curves Using Physics-Informed Neural Networks
<p>This dataset was used as input to a physics-informed neural network (PINN) model developed to estimate continuous soil water retention curves (SWRCs). It includes basic soil properties such as particle-size distribution (sand, silt, clay), organic carbon content (OC), bulk density (BD), and measurements of soil water retention at various matric potentials. These inputs allow the model to learn the relationship between soil properties and water retention, via both data and embedded physical constraints. This data set consists of 4,200 Danish soil samples with measurements spanning the wet and dry ends of the SWRC. </p>
Excess soil moisture and fresh carbon input are prerequisites for methane production in podzolic soil
<p>This package contains the data used in the research article: "Excess soil moisture and fresh carbon input are prerequisites for methane production in podzolic soil" published in Biogeosciences.</p> <p>flux_data.csv contains the measured CH4 fluxes and corresponding ambient air temperature, 5 cm soil moisture and 5 cm soil temperature during the flux measurement.</p> <p>CH4_potentials.xlsx contains the measured CH4 oxidation and production potential data</p> <p>data_soil_moisture.csv contains the time series of measured 5 cm soil moisture at the flux points.</p> <p>data_soil_temperature.csv contains the time series of measured 5 cm soil temperature at the flux points.</p> <p>microcosm_data.csv contains the data of the microcosm experiment. Columns are: datetime, sample name, sample temperature (15 or 25 c), sample moisture (control, M1 (moderate moisture), M2 (high moisture)), glucose addition (no glucose or with glucose), week (measurement week), ch4 flux.</p>
Test input dataset for simulation of supercapacitors
<p>Metalwalls is an application for simulating supercapacitors, developed by CNRS and used in the context of H2020 FET-HPC EXA2PRO project. </p> <p>This dataset contains application test input of various sizes. </p>
Geospatial Input Datasets for Urban Teleconnections Analysis
<p>This dataset includes all of the necessary input layers for the `gamut` software package. Layers were downloaded from the sources in the references and were either directly used in the `gamut` software or processed prior to being used in the software. Processing and data information for each dataset is included in the metadata.</p>
CLM/CTSM glacier input datasets used for study on evaluation variable-resolution CESM2 in High-Mountain Asia
<p><strong>General Info</strong></p> <p>This data archive contains the updated glacier-cover and glacier regions for the Community Land Model version 5 (CLM5)/Community Terrestrial Systems Model (CTSM). The updated glacier-cover and glacier regions are used for a study on the evaluation of variable-resolution (VR) CESM2 in High Mountain Asia (<a href="https://tc.copernicus.org/preprints/tc-2022-256/">https://tc.copernicus.org/preprints/tc-2022-256/</a>). The data archive also contains the model scripts and input files that have been used to create the glacier-cover dataset. The global glacier outlines used for the glacier-cover dataset were retrieved from the Randolph Glacier Inventory version 6 (RGI-Consortium, 2017). The vector data for the Greenland and Antarctic ice sheets were retrieved from the masks of Bedmachine version 4 (Morlighem et al., 2017, 2021) and version 2 (Morlighem et al., 2020; Morlighem, 2020), respectively. </p> <p><strong>Contact</strong></p> <p>René Wijngaard (<a href="mailto:r.r.wijngaard.uu@gmail.com">r.r.wijngaard.uu@gmail.com</a> / <a href="mailto:r.r.wijngaard@uu.nl">r.r.wijngaard@uu.nl</a>) </p> <p><strong>Dataset Contents </strong></p> <pre><code>mksrf_glacier_3x3min_simyr2000.c210708.nc</code></pre> <p>The updated glacier-cover dataset, encompassing three 3-minute datasets: 1) fractional land ice coverage, including both glaciers and ice sheets (PCT_GLACIER), 2) distributions of areal glacier coverage by elevation (PCT_GLC_GIC), and 3) distributions of areal ice-sheet coverage by elevation (PCT_GLC_ICESHEET).</p> <pre><code>mksrf_GlacierRegion_10x10min_nomask_c200813.nc</code></pre> <p>The updated glacier regions, encompassing five different glacier regions (0 - Other regions, 1 - Inside standard CISM grid but outside Greenland itself, 2 - Greenland, 3 - Antarctica, and 4 - High Mountain Asia (new)), used to set the ice melt and runoff behaviour in CLM5/CTSM (more detailed information can be found in the CLM5 Documentation, <a href="https://escomp.github.io/ctsm-docs/">https://escomp.github.io/ctsm-docs/</a>)</p> <pre><code>model_scripts.tar</code></pre> <p>Model scripts used for creating the glacier-cover dataset. A README file is included that lists instructions on how to make the glacier-cover dataset. </p> <pre><code>glacier_final.tar</code></pre> <p>Input files used to create the glacier-cover dataset. The following files are included: a global 30-arcsec merged BedMachine/GMTED2010 elevation dataset (gmted_bedmachine_stitched.nc) and land-sea mask (gmted2010_modis-rawdata-lonshift.nc), Antarctica land mask (BedMachineAntarcticaRotate2RotateBack_2020-07-15_v02_lonshift.map_TO_30arcsec.nc), Greenland land mask (BedMachineGreenland-2021-04-20.map_TO_30arcsec.nc), and 30-arcsec datasets encompassing glacier-cover (30arcsec_00_rgi60_World.nc) and ice-sheet cover (30arcsec_00_BM_World.nc).</p>
Input data to replicate "The social cost of tropical cyclones"
<p>Input data for the <a href="https://dx.doi.org/10.5281/zenodo.8056520">scripts</a> that replicate the results of <a href="https://doi.org/10.1038/s41467-023-43114-4">Krichene et al. 2023</a>.</p> <p>To run the <a href="https://dx.doi.org/10.5281/zenodo.8056520">scripts</a>, the following files from this repository need to be placed in the <code>./data/input/</code> subdirectory of the project folder containing the <a href="https://dx.doi.org/10.5281/zenodo.8056520">scripts</a>:</p> <ul> <li><code>GMT.nc</code>: Global mean temperature time series as used by the <a href="https://gitlab.pik-potsdam.de/tovogt/tc_emulator">tropical cyclone emulator</a>.</li> <li><code>GrowthClimateDataset.dta</code>: The <a href="https://purl.stanford.edu/wb587wt4560">input data</a> of <a href="https://dx.doi.org/10.1038/nature15725">Burke et al. 2015</a>.</li> <li><code>IHME_GLOBAL_GDP_ESTIMATES_1950_2015.csv</code>: Historical GDP per capita data from <a href="https://doi.org/10.1186/1478-7954-10-12">James et al. 2012</a> (downloaded from <a href="https://ghdx.healthdata.org/record/ihme-data/gross-domestic-product-gdp-estimates-country-1950-2015">IHME</a>).</li> <li><code>mean_temperature_gswp3-w5e5.csv</code>: Population-weighted average national temperature time series for the historical period.</li> <li><code>pulse_response_ricke_caldeira_2014.csv</code>: The global mean temperature response of an additional emission pulse according to <a href="https://dx.doi.org/10.1088/1748-9326/9/12/124002">Ricke & Caldeira 2014</a>.</li> <li><code>tcdata/TCE-DAT_historic-exposure_1950-2015.csv</code> and <code>tcdata/TotalPopulation.csv</code>: Historical (national) numbers of people affected by tropical cyclones according to <a href="https://doi.org/10.5880/pik.2017.011">TCE-DAT</a> with the corresponding total population counts.</li> <li><code>tcdata/emulator/</code>: Projected (national) shares of people affected by tropical cyclones according to the <a href="https://gitlab.pik-potsdam.de/tc_cost/tc_emulator">tropical cyclone emulator</a> as computed by the scripts in the <a href="https://gitlab.pik-potsdam.de/tc_cost/tc_people_affected">corresponding repository</a>.</li> <li><code>wid_all_data.zip</code>: A bulk data set from the <a href="https://wid.world/bulk_download/wid_all_data.zip">World Inequality Database</a>.</li> </ul> <p>For more information, see <a href="https://doi.org/10.1038/s41467-023-43114-4">Krichene et al. 2023</a> and the README file provided with the <a href="https://dx.doi.org/10.5281/zenodo.8056520">scripts</a>.</p>
Nutrient Inputs in Mesocosms of an Oligotrophic Lake Fail to Sustain an Algal Bloom, Lake George, NY, 2019
Harmful algal blooms (HABs) pose a significant threat to aquatic ecosystems, and their frequency in oligotrophic lakes—previously thought resistant to such blooms due to their low nutrient levels—has been increasing. This challenges the traditional view that nutrient loading, a major driver of HABs, is less relevant in low-nutrient systems. To investigate whether nutrient enrichment plays a role in HAB development in oligotrophic lakes, we used in-lake mesocosms to assess the effects of varying nitrogen and phosphorus levels on pelagic communities over a 4-week period. The experiment utilized 20 mesocosms (~2,000 L each), with varying phosphorus (P) and nitrogen (N) concentrations, all maintaining a 30:1 N:P ratio, representing ten distinct nutrient levels (235:8 µg/L [control], 600:20 µg/L, 1200:40 µg/L, 1800:60 µg/L, 2400:80 µg/L, 3000:100 µg/L, 3600:120 µg/L, 4200:140 µg/L, 4800:160 µg/L, and 5400:180 µg/L). Nutrients were added twice a week (Tuesdays and Fridays) to sustain the concentrations, with two replicates for each of the ten treatments, totaling 20 experimental units. Water samples were collected to assess water chemistry at two points during the experiment (days 12 and 26). The water chemistry variables measured included total phosphorus (TP), total dissolved phosphorus (TDP), dissolved reactive phosphorus (DRP), total nitrogen (TN), nitrate, nitrite, ammonium, and chlorophyll a. Phytoplankton abundance and abiotic conditions (dissolved oxygen, temperature, pH, and turbidity) were monitored on days 5, 7, 10, 13, 17, 19, 21. Grab samples were also collected on day 12 and 26 to identify phytoplankton species/abundance and zooplankton abundance. In this experiment, nutrient additions enhanced the fluorescence of chlorophyll a (indicative of total phytoplankton) and phycocyanin (a proxy for cyanobacteria), these increases plateaued at low nutrient levels and were transient. Phytoplankton species identification and enumeration revealed no significant changes
Caribou-Poker Creeks Research Watershed: Input data for calculating stream metabolism from 2021-2022
This dataset contains the input data needed for calculating stream metabolism using the 'streamMetabolizer' R package (i.e., dissolved oxygen, oxygen at 100% saturation, depth, water temperature, light, and discharge) for four sites in the Caribou-Poker Creeks Research Watershed (CPCRW). Data are reported at 15-minute intervals from May to September in 2021 and 2022.
Supplemental materials of the Castaño-Sánchez et. al. (2023) article (Agricultural Systems) containing the IFSM model input parameters not included in the main text, and the Criollo ranches survey form
CONTEXT: The southwestern United States is experiencing an increasingly warmer and drier climate that is affecting cattle production systems of the region. Adaptation strategies are needed that will not compromise environmental quality or profitability. Options include the use of desert-adapted beef cattle biotypes, such as Rarámuri Criollo cattle, and crossbreds of Criollo with more traditional British breeds. Currently, most calves raised in the Southwest are grain finished, often with irrigated crops produced in the hydrologically-threatened Ogallala Aquifer region. A viable alternative may be grass finishing with the rainfed forage of the arid and semi-arid rangeland of the Southwest or in the temperate grasslands of the Northern Plains. OBJECTIVE: Compare the environmental impacts and production costs of grain-finishing in Texas and grass-finishing in the Northern plains and the Southwest with traditional Angus cattle vs. Criollo and Criollo x Angus cattle. METHODS: Nine supply chain strategies were simulated using the Integrated Farm System Model to compare farm-gate life cycle intensities of greenhouse gas emissions (carbon footprint), fossil energy footprint, nitrogen footprint, blue water footprint and production costs using representative (appropriate soils, climate, and management) ranch and feedlot operations. RESULTS AND CONCLUSIONS: For both finishing options (grass, grain), Criollo x Angus cattle had the best environmental (3%-27% lower), and production cost (4-23% lower) outcomes followed by pure Criollo and then Angus cattle. Crossbred production combined the lower feed supplementation requirements of Criollo cows with heavier final carcasses of offspring from Angus genetics. Crossbred cattle with grass finishing in the Southwest or Northern Plains outperformed on most environmental variables as well as production costs, mostly due to reduced external input requirements (primarily feed). A downside for grass-finished crossbreds was greater carbon fo
Perennial grass tiller and stolon density in plots with experimentally altered precipitation and nutrient inputs at the Jornada Basin LTER site, 2012-2014
This dataset contains perennial grass tiller and stolon counts collected starting in 2012 for a long-term precipitation and nutrient manipulation experiment at the Jornada Basin LTER site in southern New Mexico, U.S.A. This experiment uses precipitation shelters and irrigation treatments to manipulate water inputs, and fertilization treatments to alter nitrogen input to 2.5 x 2.5 meter plots in a desert grassland. Tillers and stolons of perennial grasses were counted in each plot in 2012, 2013 and 2014. This is an ongoing study and the dataset will be updated as needed.
NPL01 Litterfall inputs to soil surface in watersheds with different fire treatments
Litter falling to the soil surface of tallgrass prairie was measured using 5 cm x 100 cm litterfall troughs. Mass, nitrogen, and phosphorus content were measured monthly or seasonally. Variables of interest include burning frequency and soil type.
StreamFRE: Downstream leaf litter exports in Prieta and lateral and vertical leaf litter inputs.
StreamFRE: Downstream leaf litter exports in Prieta and lateral and vertical leaf litter inputs. 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.
SBC LTER: Beach: Local and regional kelp wrack inputs to sandy beaches
These data describe the inputs of giant kelp (Macrocystis pyrifera) to sandy beach ecosystems in the Santa Barbara Channel. The local dataset details the average number of kelp plants deposited in 100 m wide segments of coastline over the course of 66 months, from August 2015 through July 2021. Data are presented as the overall average as well as the seasonal averages for each segment. The coordinates of each segment are provided as well as the overall average dry beach width and the beach orientation for each segment. The regional dataset details the average wrack cover from cross-shore transects and the average number of kelp plants deposited on the 1 km stretch of beach for 24 sandy beach sites in a 100 km long region of coastline along the Santa Barbara Channel. The coordinates of each site are provided as well as the dry beach width and the beach orientation. Data are contained in two tables: 1) the local 25 km dataset with 250 total segments, and 2) the 100 km regional dataset with 24 total study beaches.
Input Runoff Data for RAPID Model Pre-Processor (RRR) from GLDAS-v.2.0
<p>This database can be used as the input runoff files in the RAPID model [<em>David et al.,</em> 2011] pre-processor (RRR). The runoff files were acquired/derived from the GLDAS-v.2.0 [<em>Rodell et al.,</em> 2004] LSM outputs, available at;</p> <p><a href="http://hydro1.gesdisc.eosdis.nasa.gov/daac-bin/OTF/HTTP_services.cgi">http://hydro1.gesdisc.eosdis.nasa.gov/daac-bin/OTF/HTTP_services.cgi</a></p> <p>The GLDAS-v.2.0 outputs (from NOAH Land Surface Models) are available in 1º, 0.25º with 3-hour temporal resolution. The database contains the following files;</p> <p> GLDAS.2.0_NOAH<em><strong>res</strong></em>_3H_<em><strong>yyyy</strong></em>.tar.gz (Note: <em><strong>res</strong></em> = 10 or 025; <em><strong>yyyy</strong></em> = 2000 to 2009)</p> <p> </p> <p>Note: These runoff data were used by <em>Sikder et al.</em> [2019] to assess the performance of available global LSM runoffs in South and Southeast Asian river basins.</p> <p> </p> <p>Other necessary links associated with this database:</p> <p>RAPID model: <a href="https://github.com/c-h-david/rapid">https://github.com/c-h-david/rapid</a></p> <p>RAPID model pre-processor (rrr): <a href="https://github.com/c-h-david/rrr">https://github.com/c-h-david/rrr</a></p> <p>GLDAS outputs: <a href="https://disc.gsfc.nasa.gov/datasets?keywords=GLDAS">https://disc.gsfc.nasa.gov/datasets?keywords=GLDAS</a></p> <p> </p> <p>References:</p> <p>David, C. H., D. R. Maidment, G. Y. Niu, Z. L. Yang, F. Habets, and V. Eijkhout [2011], River network routing on the NHDPlus dataset, J. Hydrometeorol., 12, 913–934, <a href="https://doi.org/10.1175/2011JHM1345.1">https://doi.org/10.1175/2011JHM1345.1</a></p> <p>Rodell, M., P. R. Houser, U. Jambor, J. Gottschalck, K. Mitchell, C.-J. Meng, et al. [2004], The global land data assimilation system, Bull. Am. Meteorol. Soc. 85, 381–394, <a href="https://doi.org/10.1175/BAMS-85-3-381">https://doi.org/10.1175/BAMS-85-3-381</a></p> <p>Sikder, M. S., C. H. David, G. H. Allen, X. Qiao, E. J. Nelson, and M. A. Matin [2019], Evaluation of Available Global Runoff Datasets Through a River Model in Support of Transboundary Water Management in South and Southeast Asia, Front. Environ. Sci., 7:171, <a href="https://doi.org/10.3389/fenvs.2019.00171">https://doi.org/10.3389/fenvs.2019.00171</a></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.