Skip to main content
Powered by ShareScore

Find research datasets worth reusing

Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.

31

datasets available to search

ShareScore release 0.9.0

Reset

Dataset results

31 results for “hype”

Learn how ShareScore rates datasets ↗
zenodo44/100

Hydrological modeling on Costa Rica using HYPE

<p>This study aims to explore the use of the large-scale process-based HYPE&nbsp; (Hydrological Predictions for the Environment) model (Lindstr&ouml;m et al., 2010) for Costa Rica. Due to the lack of ground meteorological data, precipitation and temperature from global products were used as model forcings. Moreover, PET and ET from MODIS additionally to streamflow timeseries were used to calibrate and validate the model. To deal with the lack of a common period between streamflow and PET-ET, different step-wise calibration procedures were tested to evaluate the most effective strategy to constraint the parameters space and reduce the model uncertainty.</p> <p>Our specific objectives were to:</p> <p>1.&nbsp;&nbsp;&nbsp;&nbsp; Adjust the open-source conceptual rainfall-runoff model HYPE to simulate catchments at the national scale of Costa Rica.</p> <p>2.&nbsp;&nbsp;&nbsp;&nbsp; Use remotely-sensed data and global products to drive and evaluate the model using four different step-wise calibration strategies.</p> <p>3.&nbsp;&nbsp;&nbsp;&nbsp; Analyze the effect of remotely-sensed PET and ET data on model calibration and its capabilities to improve the water balance and the hydrological signatures.</p>

opencc-by-4.0Jul 2020View details →
zenodo44/100

CD_topography_35408_E-HYPE

Area, mean elevation, standard-deviation of elevation, mean slope, drainage density calculated for upstream area of all E-HYPE sub-basins outlets. Drainage density is defined as total length of all streams in the catchment divided by catchment area. For length of streams calculation, a stream network layer has been computed based on the HYDRO1K elevation and flow accumulation layers, using a threshold of at least 20 km2 of upstream area for starting a river. This data can be linked to the shapefile "MULTIHARO_TotalDomain_WGS84_20140428_2" available as a separate download. To do so, link the "SUBID_OUT" filed of the shapefile with the "SUBID" field of this dataset.

opencc-by-sa-4.0May 2017View details →
zenodo44/100

CD_landuse_35408_E-HYPE

Land use types in percentage of upstream area for all E-HYPE sub-basins outlets. 10 different types are used: water, glacier, urban, forest, agriculture, pasture, wetland, open with vegetation, open without vegetation, irrigated. This data can be linked to the shapefile "MULTIHARO_TotalDomain_WGS84_20140428_2" available as a separate download. To do so, link the "SUBID_OUT" filed of the shapefile with the "SUBID" field of this dataset.

opencc-by-sa-4.0May 2017View details →
zenodo44/100

CD_soiltype_35408_E-HYPE

Soil types in percentage of upstream area for all E-HYPE sub-basins outlets. 8 different types are used: coarse soil, medium soil, fine soil, peat, no texture, shallow and moraine. This data can be linked to the shapefile "MULTIHARO_TotalDomain_WGS84_20140428_2" available as a separate download. To do so, link the "SUBID_OUT" filed of the shapefile with the "SUBID" field of this dataset.

opencc-by-sa-4.0May 2017View details →
zenodo44/100

CD_geology_35408_E-HYPE

Geological age and type in percentage of upstream area for all E-HYPE sub-basins outlets. 22 different combinations of age and type are used: Cenozoic (Cz), Cenozoic-Mesozoic (CzMz), Cenozoic-Mesozoic intrusive (CzMzi) ), Cenozoic-Mesozoic volcanic (CzMzv), Cenozoic volcanic (Czv), Mesozoic (Mz), Mesozoic-Paleozoic (MzPz), Mesozoic-Paleozoic metamorphic (MzPzm), Mesozoic intrusive (Mzi), Mesozoic metamorphic (Mzm), Mesozoic volcanic (Mzv), Paleozoic (Pz), Paleozoic intrusive (Pzi), Paleozoic metamorphic (Pzm), Paleozoic-Precambrian (PzpCm), Paleozoic-Precambrian metamorphic (PzpCmm), Paleozoic volcanic (Pzv), intrusive (i), metamorphic (m), Precambrian (pCm), Precambrian intrusive (pCmi), Precambrian volcanic (pCmv). The "Karst" column indicates the percentage of area which is marked as "carbonate outcrop area" according to the World Map of Carbonate Rock Outcrops V3.0. This data can be linked to the shapefile "MULTIHARO_TotalDomain_WGS84_20140428_2" available as a separate download. To do so, link the "SUBID_OUT" filed of the shapefile with the "SUBID" field of this dataset.

opencc-by-sa-4.0May 2017View details →
zenodo44/100

CD_climate_35408_E-HYPE

Mean annual precipitation, seasonality index of precipitation, mean annual temperature, aridity index calculated for upstream area for all E-HYPE sub-basins outlets. For definitions used for aridity index and seasonality index see reference paper (Kuentz et al., 2016). Reanalysis temperature and precipitation data for subbasins was taken from the nearest meteorological grid point to each subbasin centroid. Daily time-series over 1979-2010 were used to calculate the different indices. Then, an average value for the whole upstream area of each subbasin outlet was calculated as the mean of all upstream subbasins weighted by their area. This data can be linked to the shapefile "MULTIHARO_TotalDomain_WGS84_20140428_2" available as a separate download. To do so, link the "SUBID_OUT" filed of the shapefile with the "SUBID" field of this dataset.

opencc-by-sa-4.0May 2017View details →
zenodo44/100

Level A Pan Europe Natural river discharge, E-HYPE 3.0

Simulated river discharge at each subbasin from E-HYPEv3.0 in m3/s. Daily data for 1961 to 2001 as time-series. Dam regulation and irrigation are NOT simulated in the natural runs. However, dams will still function as lakes with some amount of attenuation. Original data source: See information about the E-HYPE setup. Tools for repurposing: HYPE. Temporal resolution: Daily. Spatial resolution: 215 km2. Unit: m3/s. Data format: Zipped text file. On the first row there is a brief description and the rest of the file contains one row per time step, with the sub basin id as each column header on the second row. The first item on each line is the time step using the format YYYY-MM-DD, so 1961-01-01 for the first of January 1961. The dataset, Subbasin(EHYPEv3pt0).zip (shapefile with subbasin polygons) can be linked with the data.

opencc-by-sa-4.0May 2017View details →
zenodo44/100

Level A Pan Europe Precipitation, E-HYPE 2.5

Time-series for 1961 to 2001 describing the input forcing precipitation for each E-HYPE subbasin. The data describes daily values for each subbasin (mean area 215 km2). Unit of measurement: mm. The precipitation is derived from the WFD gridded data set which consists of the ERA-40 reanalysis data set daily precipitation output (Weedon et al. 2011)corrected for wet days mean monthly precipitation and undercatch (for example to CRU and GPCC). For each subbasin, the gridpoint nearest the subbasin centroid is used. Within E-HYPE a correction is made to increase precipitation above 700 m elevation. Original data source was WFD Forcing data and HYDE was used for repurposing. The data format is a zipped text file. On the first row there is a brief description and the rest of the file contains one row per time step, with the sub basin id as each column header on the second row. The first item on each line is the time step using the format YYYY-MM-DD, so 1961-01-01 for the first of January 1961.

opencc-by-sa-4.0May 2017View details →
zenodo44/100

Level A Pan Europe Subbasins, E-HYPE 2.5

This file is a shapefile with polygons defining hydrological watersheds (subbasins) with an average size of 215 km2 and the hydrological links (direction of flow) between them. The subbasins were automatically derived using the WHIST tool to delineate watersheds using the hydrologically corrected DEMs Hydrosheds (and Hydro1K north of 60 degrees). Some manual adjustments were made. The data has been quality checked against published values of catchment areas for European gauging stations. Original data source was Hydrosheds Hydro1k and WHIST was used for repurposing. The shapefile contains polygons with the following attributes: SUBID (unique ID of the subbasin), HAROID (ID of main river catchment, DOWN (ID of the downstream SUBID) , AREA (Area of subbasin in m2).

opencc-by-sa-4.0May 2017View details →
zenodo44/100

Level A Pan Europe Modelled river discharge, E-HYPE 3.0

Simulated river discharge at each subbasin from E-HYPEv3.0 in m3/s. Daily data for 1961 to 2001 as time-series. Original data source: See information about the E-HYPE setup. Tools for repurposing: HYPE. Temporal resolution: Daily. Spatial resolution: 215 km2. Unit: m3/s. Data format: Zipped text file. On the first row there is a brief description and the rest of the file contains one row per time step, with the sub basin id as each column header on the second row. The first item on each line is the time step using the format YYYY-MM-DD, so 1961-01-01 for the first of January 1961. The dataset, Subbasin(EHYPEv3pt0).zip (shapefile with subbasin polygons) can be linked with the data.

opencc-by-sa-4.0May 2017View details →
zenodo44/100

Level A Pan Europe Modelled river discharge, E-HYPE 2.5

Simulated river discharge at each subbasin from E-HYPEv2.5 in m3/s. Daily data for 1961 to 2001 as time-series. Original data source: See information about the E-HYPE setup. Tools for repurposing: HYPE. Temporal resolution: Daily. Spatial resolution: 215 km2. Unit: m3/s. Data format: Zipped text file. On the first row there is a brief description and the rest of the file contains one row per time step, with the sub basin id as each column header on the second row. The first item on each line is the time step using the format YYYY-MM-DD, so 1961-01-01 for the first of January 1961. The dataset, Subbasin(EHYPE2pt5).zip (shapefile with subbasin polygons) can be linked with the data.

opencc-by-sa-4.0May 2017View details →
zenodo44/100

Level A Pan Europe Temperature, E-HYPE 2.5

Time series for 1961 to 2001 describing corrected air temperature for each E-HYPE subbasin. The data describes daily values for each subbasin. Unit of measurement: degrees Celsius. The temperature is derived from the WFD gridded data set which consists of the ERA-40 reanalysis data set daily temperature (Weedon et al. 2011). For each subbasin (mean area 215km2), the grid point nearest the subbasin centroid is used. Temperature at the grid elevation is corrected in the HYPE model to temperature at the subbasin elevation using a factor in the parameter file. Original data source was WFD Forcing data and HYDE was used for repurposing. The data formate is a zipped text file. On the first row there is a brief description and the rest of the file contains one row per time step, with the sub basin id as each column header on the second row. The first item on each line is the time step using the format YYYY-MM-DD, so 1961-01-01 for the first of January 1961.

opencc-by-sa-4.0May 2017View details →
zenodo44/100

Hydrological simulations for Costa Rica from 1985 to 2019 using HYPE CR 1.0

<p>This dataset corresponds to the hydrological simulations of <strong>605 catchments</strong> in <strong>Costa Rica</strong> using the<strong> HYPE CR</strong> 1.0 for the period from <strong>1985 to 2019</strong>.</p> <p>The conceptual <a href="https://www.smhi.se/en/research/research-departments/hydrology/hype-our-hydrological-model-1.7994">HYPE</a> (Hydrological Predictions for the Environment) model was used to assess the water resources of tropical Costa Rica at a national scale at daily scale using adjusted global topography, soil, land use, and remotely-sensed climate products to force, calibrate and independently evaluate the model.</p> <p>&nbsp;A bias corrected temperature data from <a href="https://psl.noaa.gov/data/gridded/data.ghcncams.html">NOAA</a> (National Oceanic and Atmospheric Administration) and <a href="https://www.chc.ucsb.edu/data/chirps">CHIRPS</a> (Climate Hazards Group InfraRed Precipitation with Station data) precipitation were used as model forcings. Daily streamflow from 13 gauges for the period 1990-2003 and monthly <a href="https://www.ntsg.umt.edu/project/modis/mod16.php">MODIS</a> (Moderate Resolution Imaging Spectroradiometer) potential evapotranspiration (PET) and actual evapotranspiration (AET) for the period 2000-2014 were used to calibrate and evaluate the model.</p> <p><strong>Here, we presented the results of our calibrated HYPE model for Costa Rica (HYPE CR) version 1.0.</strong></p> <p>&nbsp;</p> <p>The files contained in this repository are described below :</p> <ul> <li><strong>CHIRPS_bias_corrected.zip</strong>: contains the daily gridded CHIRPS bias corrected rainfall using a linear bias correction method using ground stations in NetCDF4 files.</li> <li><strong>Catchments_CostaRica.geojson</strong>: simulated catchments&#39; boundaries in GIS format. The columns &quot;subid&quot; correspond to the identifier of the catchments.</li> <li><strong>Streams_CostaRica.geojson</strong>: streams network used to delineate the catchments.</li> <li><strong>AET_daily_mm.csv</strong>: time series of daily actual evapotranspiration in mm.</li> <li><strong>AET_month_mm.csv</strong>:&nbsp;time series of monthly actual evapotranspiration in mm (sum of daily).</li> <li><strong>AET_year_mm.csv</strong>: time series of annual actual evapotranspiration in mm (sum of monthly).</li> <li><strong>Baseflow_daily_mm.csv</strong>: time series of daily baseflow in mm, as the sum of discharge of three soil layers. Represents the contribution of the subcatchment area.</li> <li><strong>Baseflow_month_mm.csv</strong>: time series of monthly baseflow in mm (sum of daily). Represents the contribution of the subcatchment area.</li> <li><strong>Baseflow_year_mm.csv</strong>: time series of annual baseflow in mm (sum of monthly). Represents the contribution of the subcatchment area.</li> <li><strong>Infiltration_daily_mm.csv</strong>: time series of daily infiltration in the upper layer, in mm.</li> <li><strong>Infiltration_month_mm.csv</strong>: time series of monthly infiltration in the upper layer, in mm (sum od daily).</li> <li><strong>Infiltration_year_mm.csv</strong>: time series of annual infiltration in the upper layer, in mm (sum of monthly).</li> <li><strong>PET_daily_mm.csv</strong>: time series of daily potential evapotranspiration in mm.</li> <li><strong>PET_month_mm.csv</strong>: time series of monthly potential evapotranspiration in mm (sum of daily).</li> <li><strong>PET_year_mm.csv</strong>: time series of annual potential evapotranspiration in mm (sum of monthly).</li> <li><strong>Prec_daily_mm.csv</strong>: time series of daily bias corrected precipitation in mm.</li> <li><strong>Prec_month_mm.csv</strong>: time series of monthly bias corrected precipitation in mm (sum of daily).</li> <li><strong>Prec_year_mm.csv</strong>: time series of annual bias corrected precipitation in mm (sum of monthly).</li> <li><strong>Qsim_daily_m3-s.csv</strong>: time series of daily streamflow in m3-s. Represents the contribution of all upstream area.</li> <li><strong>Qsim_month_m3-s.csv</strong>: time series of monthly streamflow in m3-s (average of daily). Represents the contribution of all upstream area.</li> <li><strong>Qsim_year_m3-s.csv</strong>: time series of annual streamflow in m3-s (average of monthly). Represents the contribution of all upstream area.</li> <li><strong>Runoff_daily_mm.csv</strong>: time series of daily runoff in mm. Represents the contribution of the subcatchment area.</li> <li><strong>Runoff_month_mm.csv</strong>: time series of monthly runoff in mm (sum of daily). Represents the contribution of the subcatchment area.</li> <li><strong>Runoff_year_mm.csv</strong>: time series of annual runoff in mm (sum of monthly). Represents the contribution of the subcatchment area.</li> <li><strong>SM_daily_mm.csv</strong>: time series of daily soil moisture in mm. Represents the contributionof three soil layers.</li> <li><strong>SM_month_mm.csv</strong>: time series of monthly soil moisture in mm (average of daily). Represents the contributionof three soil layers.</li> <li><strong>SM_year_mm.csv</strong>: time series of annual soil moisture in mm (average of monthly). Represents the contributionof three soil layers.</li> <li><strong>Streamflow_daily_mm.csv</strong>: time series of daily streamflow in mm. Represents the contribution of the subcatchment area.</li> <li><strong>Streamflow_month_mm.csv</strong>: time series of monthly streamflow in mm (sum of daily). Represents the contribution of the subcatchment area.</li> <li><strong>Streamflow_year_mm.csv</strong>: time series of annual streamflow in mm (sum of monthly). Represents the contribution of the subcatchment area.</li> <li><strong>Tmean_daily_deg.csv</strong>: time series of daily mean air temperature in degrees.</li> <li><strong>Tmean_month_deg.csv</strong>: time series of monthly mean air temperature in degrees.</li> <li><strong>Tmean_year_deg.csv</strong>: time series of yearly mean air temperature in degrees.</li> </ul>

opencc-by-4.0Sep 2020View details →
zenodo40/100

Level A Pan Europe Locations observation stations, E-HYPE 2.5

Shapefile showing the positions of gauging stations adjusted to the delineation and routing of E-HYPEv2.5 Original data source: GRDC-Europe, EWA stations, ES, baltex_stns, EWA. Tools for repurposing: WHIST. Spatial resolution: Locations. Data format: Shapefile containing the following information: SUBID Subbasin where station is positioned; DATA_SOURC=Original data source from where observations can be ordered; STATION_NO= ID of the gauging station; STATION=Name of station; X_EHYPEv2.5= x coordinate in decimal degrees adjusted for E-HYPEv2.5 delineation and routing; Y_EHYPEv2.5= y coordinate in decimal degrees adjusted for E-HYPEv2.5 delineation and routing. The dataset, Subbasin(EHYPE2pt5).zip (shapefile with subbasin polygons) can be linked with the data.

opencc-by-sa-4.0May 2017View details →
zenodo40/100

Level A Pan Europe Subbasins, E-HYPE 3.0

This file is a shapefile with polygons defining hydrological watersheds (subbasins) with an average size of 215 km2 and the hydrological links (direction of flow) between them. The subbasins were automatically derived using the WHIST tool to delineate watersheds using the hydrologically corrected DEMs Hydrosheds (and Hydro1K north of 60 degrees). Some manual adjustments were made. The data has been quality checked against published values of catchment areas for European gauging stations. Original data source was HydroSHEDS Hydro1k and WHIST was used for repurposing. The shapefile contains polygons with the following attributes: SUBID (unique ID of the subbasin), HAROID (ID of main river catchment, DOWN (ID of the downstream SUBID) , AREA (Area of subbasin in m2)

opencc-by-sa-4.0May 2017View details →
zenodo40/100

Level A Pan Europe Land-use, E-HYPE 2.5

Land use is given as the percentage of one of 9 land use classes within a subbasin (i.e. subbasin level). The classes are Water, Glacier/Snow, Urban area, Forest, Agricultural land, Other and &gt; 500 m, Wetland, Tundra/Permafrost, Extensive grassland/pasture. This is also given as percentage of each land use class upstream of (and including) a subbasin (i.e. catchment level, mean area 215 km2). Original data source: CORINE Land Cover (CLC2000), GLC2000 Northern Eurasia v4.0, GLC2000 Asia v1.0, GLC2000 Europe v2.0, Euroland SoilSealing 2009. Tools for repurposing: WHIST. Data format: Table (Excel file) with unique subID which could be linked to the shapefile EHYPE_polygons_v2pt5.shp.

opencc-by-sa-4.0May 2017View details →
zenodo40/100

Level A Pan Europe Soils, E-HYPE 2.5

Describes soil type as one of 5 soils classes: Forest soil, Agricultural soil, Other and &gt; 500 m (shallow), Rice soil, Organic soil. This is a temporary solution as soil-type from the European soils database (ESDB) had problems describing soil types over northern Europe. Soil type was instead inferred from land use class from the land use data provided on this site based on the assumption that landuse generally follows soil suitability. Data is presented as the percentage of each soil-type within each subbasin (i.e. subbasin level) OR the percentage of each soil-type distributed over the subbasin's total catchment (including basins upstream of the local subbasin) area of E-HYPE2.5 (i.e. catchment level, mean area 215 km2). Original data source: Based on the landuse data provided on this site. Rice fields according toCLC2000 and GLC2000 Asia, and average subbasin elevation according to HYDOSHEDS/HYDRO1K Tools for repurposing: WHIST. Data formate: Table (Excel file) with unique subID which could be linked to the shapefile EHYPE_polygons_v2pt5.shp.

opencc-by-sa-4.0May 2017View details →
zenodo40/100

Level A Pan Europe Nutrients, point and diffuse sources, E-HYPE 2.5

Inputs of nitrogen and phosphorus (including fractions of the soluble P from urban point sources (PS1) , industrial point sources (PS3) and rural households (Loc). These values are calculated for each subbasin according to population in the subbasin, assumed connectivity to urban wastewater treatment or not, assumed emissions per person and assumed treatment levels (based on country). These can be downloaded as simulated load to the E-HYPE2.5 subbasins (= subbasin level, subbasin resolution = 215 km2) or as simulated load at the catchment, (subbasin and contribution from upstream area.) Original data source: HYDE population database, EEA treatment level method, EUROSTAT, HELCOM PLC5, E-PRTR. Tools for repurposing: WHIST. Data format: Table (Excel file) with unique subID which could be linked to the shapefile EHYPE_polygons_v2pt5.shp.

opencc-by-sa-4.0May 2017View details →
zenodo40/100

Preprocessed input files for HyPE model for Upper Indus basin

<p>This archive contains preprocessed input data file setup for running the Hydropower Potential Exploration (HyPE) model for the Upper Indus basin. It contains inputs for running historical or future discharge scenarios. Preprocessed data are based on publicly available datasets described in supporting papers.&nbsp;</p>

opengpl-3.0-or-laterDec 2022View details →
zenodo40/100

HYPE model results

Model results (HYPE model) for 27 basins in Europe for soil moisture compared to AMSR-E, ASCAT, NDII, SMOS, evaporation compared to LSA-SAF and MOD16, snow compared to MOD10 and MYD10 snow products and total water storage anomaly compared to GRACE.

opencc-by-4.0Oct 2017View details →

ScienceDex guides

Understand access before you commit

These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated 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.

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