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.
396
datasets available to search
ShareScore release 0.7.1
Dataset results
396 results for “humidity”
Air temperature and humidity, and soil temperature data from the Arctic LTER Moist Non-acidic Tussock Experimental plots (MNT97), Toolik Lake Field Station, Alaska, 1999-2025.
In 1999, a Campbell CR10x data logger was installed in block 2 of the Arctic LTER Toolik Moist Non-acidic Tussock Experimental plots(MNT97). The plots are located on a hillside near Toolik Lake (68 38' N, 149 36'W). Air temperature and relative humidity were measured at 3 meters (control), and inside the greenhouse, and fertilized greenhouse. Soil temperatures were measured with thermocouples placed in control, fertilized, greenhouse, and fertilized-greenhouse plots.
Data and code of the article: "Early Warning Signals of the Termination of the African Humid Period(s)"
<p>Data and MATLAB Code of the article Trauth, M.H., Asrat, A., Fischer, M.L., Hopcroft, P.O., Foerster, V., Kaboth-Bahr, S., Kindermann, K., Lamb, H.F., Marwan, N., Maslin, M.A., Schaebitz, F., Valdes, P.J. (2024) Early Warning Signals of the Termination of the African Humid Period(s), Nature Communications, https://doi.org/10.1038/s41467-024-47921-1. The individual directories contain the data and the MATLAB code used to generate Fig. 1 and 2 and Supplementary Fig. 1 to 7 published with the article.</p>
Marcell Experimental Forest 30-minute air temperature, relative humidity, and barometric pressure, 2015 - ongoing
This data publication contains air temperature, relative humidity, and atmospheric pressure data collected at 30-minute resolution from 2015-ongoing at three long term meteorological monitoring stations at the Marcell Experimental Forest (MEF). The MEF is located in Itasca County, Minnesota and is operated and maintained by the USDA Forest Service, Northern Research Station.
Air temperature, relative humidity, soil temperatures and soil moisture for Arctic Long Term Experimental Research (ARC LTER) heath experimental plots, Toolik Field Station, North Slope Alaska for 2001-2024-09-22.
Air temperature and relative humidity at 3 meters, soil temperatures at 2 depths, 5 and 10 cm, canopy temperatures and soil moisture at 10 cm were measured in an Arctic Long Term Experimental Research (ARC-LTER) heath tundra site (DHT89) at Toolik Lake Field Station, North slope, Alaska. Only control and nutrient addition (nitrogen plus phosphorus ) treatments plots soils were measured. Note: In version 1 the moisture columns were mixed up. The fractional volumetric water columns were actually the period frequency of the wave of the sensor (Campbell Scientific CS616). Version 3 adds calculated percent moisture corrected for organic soil.
Bonanza Creek LTER: Hourly Relative Humidity Measurements (mean, min, max) at 50 cm and 150 cm from 1988 to Present in the Bonanza Creek Experimental Forest near Fairbanks, Alaska
This dataset contains the hourly output from relative humidity sensors for the Bonanza Creek Experimental Forest (BCEF). Most sites have two sensors, one at 50 cm and one at 150cm. This includes Level 3 weather stations as well as smaller scale and temporal studies. This data can be sorted and viewed by site, year, hour, height of measurement, mean, min, and max value. Updates of each site are different since some are still on going while other had only a 2 - 3 year life cycle. This information can be found in the site descriptions and in the metadata.
Bonanza Creek LTER: Hourly Relative Humidity Measurements (mean, min, max) at Various Heights from 1992 to Present in the Caribou-Poker Creeks Research Watershed near Fairbanks, Alaska
This dataset contains the hourly output from the relative humidity sensors for the Caribou-Poker Creeks Research Watershed (CPCRW) climate data stations.
Hubbard Brook Experimental Forest: 15 Minute Relative Humidity Measurements, 2011 – ongoing
Relative humidity has been measured at 15-minute intervals in two clearings throughout the Hubbard Brook experimental watersheds and at the Headquarters Station since 2011. Data were collected at two additional sites from 2011-2019. These data are gathered at the Hubbard Brook Experimental Forest in Woodstock, NH, which is operated and maintained by the USDA Forest Service, Northern Research Station.
Air temperature and relative humidity data for A1 HOBO logger, 2013 - ongoing.
Climatological data were collected from a ridgetop climate station east of Niwot Ridge (A1 at 2195 m) throughout the year using a HOBO Pro V2 data logger mounted in a Stevenson screen. Parameters measured were air temperature and relative humidity.
Air temperature and relative humidity data for B1 HOBO logger, 2012 - ongoing.
Climatological data were collected from a ridgetop climate station east of Niwot Ridge (B1 at 2591 m) throughout the year using a HOBO Pro V2 data logger mounted in a Stevenson screen. Parameters measured were air temperature and relative humidity
Relative humidity measurements of the vault of the apse of the Cathedral of Valencia
<p>This data set contains relative humidity measurements obtained with sensors installed in the apse vault of the Cathedral of Valencia in Spain.</p> <p>The interest of these sensors is to monitor the conservation conditions of Renaissance frescoes.</p> <p>Included files are:</p> <ul> <li>Cathedral_of_Valencia_RH_2008.csv : Relative humidity measurements for the year 2008</li> <li>Cathedral_of_Valencia_RH_2010.csv : Relative humidity measurements for the year 2010</li> </ul> <p> </p>
Dataset to manuscript: Soil organic carbon stocks and quality in small-scale tropical, sub-humid and semi-arid watersheds under shrubland and dry deciduous forest in southwestern India
<p>Raw data to the manuscript entitled "Soil organic carbon stocks and quality in small-scale tropical, sub-humid and semi-arid watersheds under shrubland and dry deciduous forest in southwestern India" by Severin-Luca Bellè, Jean Riotte, Muddu Sekhar, Laurent Ruiz, Marcus Schiedung and Samuel Abiven.</p> <p>Data files include all raw data of soil cores (20211111_Raw_data.zip), data measured on composited samples (20211111_Composite_data.zip) and DRIFT spectra (20211111_DRIFT_data.zip).</p> <p>Files ending with var_names are the README files.</p>
Relative Humidity from Copernicus Essential Climate Variables for July months from 1980 to 2018
<p>This dataset can be used if you have issues with the Essential Climate Variables Galaxy Tool for the Training "Getting your hands-on climate data" in the section "Essential Climate Variables". You can then upload this dataset in your Galaxy history and skip the 1st step (<strong>Copernicus Essential Climate Variables</strong>) and directly start with 2. <strong>map plot gridded (lat/lon) netCDF data.</strong></p>
SPHERA High Resolution Reanalysis over Italy - Hourly surface relative humidity (2-meter height) 2013-2020
<p>SPHERA (High Resolution REAnalysis over Italy) is a convection-permitting regional reanalysis developed by ARPAE-Emilia Romagna and publicly available. The SPHERA domain covers Italy and the surrounding seas with a horizontal resolution of 2.2km. The temporal coverage corresponds to the period 1995-2020 and the dataset is available at hourly frequency. SPHERA reanalysis was developed using the Numerical Weather Prediction model COSMO (www.cosmo-model.org) nested in the global reanalysis ERA5 produced by ECMWF. Moreover, upper-air and surface observations were assimilated at the convection-permitting scale by the COSMO nudging scheme.</p> <p>This record reports the hourly surface relative humidity at 2-meter height for the period 2013-2020. The full extension of the dataset over 1995-2020 is available over three different records due to space constraints:</p> <ul> <li>1995-2003: <a href="12724026">https://zenodo.org/uploads/12724026</a></li> <li>2004-2012: <a href="12724104">https://zenodo.org/uploads/12724104</a></li> <li>2013-2020: <a href="12724140">https://zenodo.org/uploads/12724140</a></li> </ul> <p>Other fields currently available on Zenodo are the surface air temperature at 2-meter height (also over three different records due to space constraints):</p> <ul> <li>1995-2003: <a href="../records/12567563">https://zenodo.org/records/12567563</a></li> <li>2004-2012: <a href="../records/12582246">https://zenodo.org/records/12582246</a></li> <li>2013-2020: <a href="../records/12582797">https://zenodo.org/records/12582797</a></li> </ul> <p>and hourly accumulated total precipitation: <a href="https://zenodo.org/records/14617083">https://zenodo.org/records/14617083</a></p> <p>Details on the SPHERA dataset production, as well as data verification against surface observations are reported in peer-reviewed publications. See References.</p>
SPHERA High Resolution Reanalysis over Italy - Hourly surface relative humidity (2-meter height) 2004-2012
<p>SPHERA (High Resolution REAnalysis over Italy) is a convection-permitting regional reanalysis developed by ARPAE-Emilia Romagna and publicly available. The SPHERA domain covers Italy and the surrounding seas with a horizontal resolution of 2.2km. The temporal coverage corresponds to the period 1995-2020 and the dataset is available at hourly frequency. SPHERA reanalysis was developed using the Numerical Weather Prediction model COSMO (www.cosmo-model.org) nested in the global reanalysis ERA5 produced by ECMWF. Moreover, upper-air and surface observations were assimilated at the convection-permitting scale by the COSMO nudging scheme.</p> <p>This record reports the hourly surface relative humidity at 2-meter height for the period 2004-2012. The full extension of the dataset over 1995-2020 is available over three different records due to space constraints:</p> <ul> <li>1995-2003: <a href="12724026">https://zenodo.org/uploads/12724026</a></li> <li>2004-2012: <a href="12724104">https://zenodo.org/uploads/12724104</a></li> <li>2013-2020: <a href="12724140">https://zenodo.org/uploads/12724140</a></li> </ul> <p>Other fields currently available on Zenodo are the surface air temperature at 2-meter height (also over three different records due to space constraints):</p> <ul> <li>1995-2003: <a href="../records/12567563">https://zenodo.org/records/12567563</a></li> <li>2004-2012: <a href="../records/12582246">https://zenodo.org/records/12582246</a></li> <li>2013-2020: <a href="../records/12582797">https://zenodo.org/records/12582797</a></li> </ul> <p>and hourly accumulated total precipitation: <a href="https://zenodo.org/records/14617083">https://zenodo.org/records/14617083</a></p> <p>Details on the SPHERA dataset production, as well as data verification against surface observations are reported in peer-reviewed publications. See References.</p>
SPHERA High Resolution Reanalysis over Italy - Hourly surface relative humidity (2-meter height) 1995-2003
<p>SPHERA (High Resolution REAnalysis over Italy) is a convection-permitting regional reanalysis developed by ARPAE-Emilia Romagna and publicly available. The SPHERA domain covers Italy and the surrounding seas with a horizontal resolution of 2.2km. The temporal coverage corresponds to the period 1995-2020 and the dataset is available at hourly frequency. SPHERA reanalysis was developed using the Numerical Weather Prediction model COSMO (www.cosmo-model.org) nested in the global reanalysis ERA5 produced by ECMWF. Moreover, upper-air and surface observations were assimilated at the convection-permitting scale by the COSMO nudging scheme.</p> <p>This record reports the hourly surface relative humidity at 2-meter height for the period 1995-2003. The full extension of the dataset over 1995-2020 is available over three different records due to space constraints:</p> <ul> <li>1995-2003: <a href="12724026">https://zenodo.org/uploads/12724026</a></li> <li>2004-2012: <a href="12724104">https://zenodo.org/uploads/12724104</a></li> <li>2013-2020: <a href="12724140">https://zenodo.org/uploads/12724140</a></li> </ul> <p>Other fields currently available on Zenodo are the surface air temperature at 2-meter height (also over three different records due to space constraints):</p> <ul> <li>1995-2003: <a href="../records/12567563">https://zenodo.org/records/12567563</a></li> <li>2004-2012: <a href="../records/12582246">https://zenodo.org/records/12582246</a></li> <li>2013-2020: <a href="../records/12582797">https://zenodo.org/records/12582797</a></li> </ul> <p>and hourly accumulated total precipitation: <a href="https://zenodo.org/records/14617083">https://zenodo.org/records/14617083</a></p> <p>Details on the SPHERA dataset production, as well as data verification against surface observations are reported in peer-reviewed publications. See References.</p>
Indicative distribution map for Ecosystem Functional Group T2.5 Temperate pyric humid forests
<p>This archive contains indicative distribution maps and profiles for <strong>T2.5 Temperate pyric humid forests</strong>, a ecosystem functional group (EFG, level 3) of the <a href="https://global-ecosystems.org/">IUCN Global Ecosystem Typology</a> (v2.0). Please refer to Keith <em>et al.</em> (2020) for details.</p> <p>The descriptive profiles provide brief summaries of key ecological traits and processes, maps are indicative of global distribution patterns, and are not intended to represent fine-scale patterns. The maps show areas of the world containing major (value of 1, coloured red) or minor occurrences (value of 2, coloured yellow) of each ecosystem functional group. Minor occurrences are areas where an ecosystem functional group is scattered in patches within matrices of other ecosystem functional groups or where they occur in substantial areas, but only within a segment of a larger region. Given bounds of resolution and accuracy of source data, the maps should be used to query which EFG are likely to occur within areas, rather than which occur at particular point locations. Detailed methods and references for the maps are included in the profile (xml format).</p>
TEAMx-PC22 (TEAMx pre-campaing 2022) - ACINN temperature and humidity logger data set from Nafingalm
<p><strong>ABSTRACT</strong></p> <p>This data set was collected with a network of Onset HOBO temperature and humidity data loggers of <a href="http://acinn.uibk.ac.at/">ACINN</a> at the Nafingalm, Austria, in summer 2022 in the framework of the TEAMx pre-campaign 2022 (TEAMx-PC22). The aim of TEAMx-PC22 was to test new instruments, new instrument configurations and new measurement sites to support the planning of the main TEAMx observational campaign (TOC) in 2024/2025. More details about TEAMx can be found at <a href="http://www.teamx-programme.org">http://www.teamx-programme.org</a> as well as in Serafin et al. (2020) and in Rotach et al. (2022).</p> <p><strong>DATA SET DESCRIPTION</strong></p> <p><strong>1. Location</strong></p> <p>The temperature and humidity data loggers were located at five different sites at the Nafingalm in the Weer Valley, Tyrol, Austria (see table below). Four sites were over land and one in a small lake, the so-called Nafingsee. At one of these sites an automatic weather station (AWS) was operated (see <a href="https://doi.org/10.5281/zenodo.8172308">DOI: 10.5281/zenodo.8172308</a>). Logger H06 to H32 measured air temperature and air humidity at three sites on two levels (2 and about 0.3 m above ground level) and at one site on one level (2 m above ground level). Logger T01 and T02 measured land surface temperature at two sites. Logger T03 and T04 measured lake water temperature at one site on two levels (0.3 and 1.0 m below lake level). Each logger was equipped with a single temperature/humidity probe. Hence, for each level a separate logger had to be used. Therefore, each data file provided here contains data from a single logger at a single site on a single level. For reasons of redundancy, two sites were equipped with two loggers at 2 m above ground level (main logger and backup logger) in order to fill data gaps in the event of a failure of the main logger. However, data gaps did not occur.</p> <table> <thead> <tr> <th scope="col">Location</th> <th scope="col">Latitude (°N)</th> <th scope="col">Longitude (°E)</th> <th scope="col">Altitude (m MSL)</th> <th scope="col">Parameters</th> <th scope="col">Logger names</th> </tr> </thead> <tbody> <tr> <td>north of the lake at the valley floor at the AWS</td> <td>47.215141</td> <td>11.712628</td> <td>1928</td> <td>air temperature and air humidity on two levels</td> <td>H32 (upper), H26 (lower)</td> </tr> <tr> <td>south of the lake at the valley floor</td> <td>47.212760</td> <td>11.713030</td> <td>1921</td> <td>air temperature and air humidity on two levels, surface temperature</td> <td>H06 (upper main), H07 (lower), H28 (upper backup), T01 (surface)</td> </tr> <tr> <td>in the lake at the valley floor</td> <td>47.213603</td> <td>11.712433</td> <td>1921</td> <td>lake water temperature on two levels</td> <td>T03 (upper), T04 (lower)</td> </tr> <tr> <td>on the slope</td> <td>47.208150</td> <td>11.721200</td> <td>2241</td> <td>air temperature and air humidity on two levels, surface temperature</td> <td>H08 (upper main), H09 (lower), H11 (upper backup), T02 (surface)</td> </tr> <tr> <td>at the peak</td> <td>47.202940</td> <td>11.730160</td> <td>2531</td> <td>air temperature and air humidity on one level</td> <td>H21</td> </tr> </tbody> </table> <p><strong>2. Period</strong></p> <p>The TEAMx-PC22 lasted from mid-May 2022 to early October 2022. However, the temperature and humidity logger data set provided here contains the period from 16 June to 12 September 2022. The time series has a measurement interval of 5 minutes and, depending on the parameter, contains both mean values and instantaneous values.</p> <p><strong>3. Instrument details</strong></p> <p>Air temperature and air humidity were measured with Onset HOBO MX2302 temperature and humidity probes mounted on a pole above the surface in a RS3-B naturally aspirated multi-plate radiation shield. Land surface temperature was measured with Onset HOBO MX2201 temperature probes mounted on a pole at the surface under a home-made double-plate radiation shield. Lake water temperature was measured with Onset HOBO MX2201 temperature probes mounted on a rope under a buoy. Despite the double-plate radiation shield used to protect the land surface temperature measurements from radiation errors, such errors have to be expected, especially at low solar elevation angle in the morning and late afternoon. Therefore, use the land surface temperature data with caution. A detailed description of the sensors and parameters is provided as part of the netCDF file metadata as well as in a PDF file containing the netCDF header extracted with the Linux command ncdump -h.</p> <p><strong>4. Data file</strong></p> <p>The data set is provided in multiple netCDF files together with a data description in multiple PDF files, one for each data logger (teamx_pc22_aws_nafingalm_HOBOID.nc and teamx_pc22_aws_nafingalm_HOBOID_ncdump_output.pdf). Here, HOBOID represents the logger name (see table above).</p> <p><strong>5. Analysis</strong></p> <p>A first analysis of the data was performed in a Bachor thesis (Viebahn, 2023), which is available upon request from the author of this data set.</p> <p><strong>6. Contact</strong></p> <p>Contact alexander.gohm(at)uibk.ac.at for any questions regarding the data set.</p> <p><strong>7. References</strong></p> <p>Rotach, M. W., S. Serafin, H. C. Ward, M. Arpagaus, I. Colfescu, J. Cuxart, S. F. J. D. Wekker, V. Grubišic, N. Kalthoff, T. Karl, D. J. Kirshbaum, M. Lehner, S. Mobbs, A. Paci, E. Palazzi, A. Bailey, J. Schmidli, C. Wittmann, G. Wohlfahrt, D. Zardi, 2022: A collaborative effort to better understand, measure, and model atmospheric exchange processes over mountains. <em>Bulletin of the American Meteorological Society</em>, <strong>103</strong>, E1282–E1295. <a href="https://doi.org/10.1175/bams-d-21-0232.1">https://doi.org/10.1175/bams-d-21-0232.1</a></p> <p>Serafin, S., M. W. Rotach, M. Arpagaus, I. Colfescu, J. Cuxart, S. F. J. De Wekker, M. Evans, V. Grubišić, N. Kalthoff, T. Karl, D. J. Kirshbaum, M. Lehner, S. Mobbs, A. Paci, E. Palazzi, A. Raudzens Bailey, J. Schmidli, G. Wohlfahrt, B. Zardi, 2020: <em>Multi-scale transport and exchange processes in the atmosphere over mountains: Programme and experiment</em>. Innsbruck University Press. <a href="https://doi.org/10.15203/99106-003-1">https://doi.org/10.15203/99106-003-1</a></p> <p>Viebahn, T., 2023: <em>Windregime und Stabilität in einem alpinen Seitental im Sommer: Eine Standortcharakterisierung im Rahmen der TEAMx Vorkampagne 2022</em>. Bachlor thesis, University of Innsbruck, 75 pp.</p>
Patch-burn grazing impacts forage resources in subtropical humid grazinglands
Subtropical humid grazing lands represent a large global land use and are important for livestock production, as well as supplying multiple ecosystem services. Patch-burn grazing (PBG) management is applied in temperate grazing lands to enhance environmental and economic sustainability; however, this management system has not been widely tested in subtropical humid grazing lands. The objective of this study was to determine how PBG affected forage resources, in comparison with the business-as usual full-burn (FB) management in both intensively managed pastures (IMP) and seminative (SN) pastures in subtropical humid grazing lands. We hypothesized that PBG management would create patch contrasts in forage quantity and nutritive value in both IMP and SN pastures, with a greater effect in SN pastures. A randomized block design experiment was established in 2017 with 16 pastures (16 ha each), 8 each in IMP and SN at Archbold Biological Station’s Buck Island Ranch in Florida. PBG management employed on IMP and SN resulted in creation of patch contrast in forage nutritive value and biomass metrics, and recent fire increased forage nutritive value. Residual standing biomass was significantly lower in burned patches of each year, creating heterogeneity within both pasture types under PBG. PBG increased digestible forage production in SN but not IMP pastures. These results suggest that PBG may be a useful management tool for enhancing forage nutritive value and creating patch contrast in both SN and IMP, but PBG does not necessarily increase production relative to FB management. The annual increase in tissue quality and digestible forage production in a PBG system as opposed to once every 3 yr in an FB system is an important consideration for ranchers. Economic impacts of PBG and FB management in the two different pasture types are discussed, and we compare and contrast results from subtropical humid grazing lands with continental temperate grazing lands.
WSC - Temperature and relative humidity data from 150 locations in and around Madison, Wisconsin from 2012 - 2021
To study the urban heat island and other local climatic processes in Madison, Wisconsin, in March 2012, 135 HOBO U23 Pro v2 temperature/relative humidity sensors in RS1 solar shields (Onset Computing) were attached to streetlight and utility poles in and around Madison, Wisconsin. Additional locations were added in 2012 and 2013 for a total of 150 locations. The sensors were installed at a height of 3.5 meters, and they automatically record instantaneous temperature and relative humidity every 15 minutes. This dataset includes all temperature/humidity measurements and a separate file with the coordinates of each measurement location.
Information content estimation output for specific humidity profiles
<p>Output of information content estimation based on optimal estimation theory <strong>[1]</strong>. Detailed descriptions of the information content estimation performed here can be found in Section 3.3 of <strong>[2]</strong>. The files have been created with the codes published on Github/Zenodo <strong>[3]</strong>.</p> <p>The cryptic file name suffixes _472, _481, _482, _483 and _484 represent different settings of the Neural Network retrieval to estimate the information content for different inputs:</p> <ul> <li>_472: TBs at all frequencies of the microwave radiometers HATPRO and MiRAC-P (instruments are described in <strong>[2]</strong>,<strong>[4]</strong>)</li> <li>_481: TBs only at K-band frequencies (22.24-31.4 GHz)</li> <li>_482: TBs at K- and V-band frequencies (22.24 - 58 GHz)</li> <li>_483: TBs at K- and G-band frequencies (22.24-31.4 GHz, 175.81-190.81 GHz)</li> <li>_484: TBs at K-, G-band and higher frequencies (22.24-31.4 GHz, 175.81-190.81 GHz, 243 GHz, 340 GHz)</li> </ul> <p>Detailed Neural Network settings can also be found in <strong>[2]</strong> and test_purpose.yaml in <strong>[3]</strong>.</p> <p>The file eval_info_content_idx.nc contains indices to consider a subset of the years 2001, 2006, 2011, 2015 of <strong>[5]</strong>, used as evaluation data in <strong>[2]</strong>, for the information content estimation. We did not use the full ERA5 evaluation data set because of computation time.</p> <p><strong>[1]:</strong> Rodgers, C. D.: Inverse methods for atmospheric sounding: theory and practice, no. 2 in Series on atmospheric, oceanic and planetary physics, World Scientific, Singapore, repr edn., ISBN 978-981-02-2740-1, 2008.</p> <p><strong>[2]:</strong> Walbröl, A., Griesche, H. J., Mech, M., Crewell, S., and Ebell, K.: Combining low- and high-frequency microwave radiometer measurements from the MOSAiC expedition for enhanced water vapour products, Atmospheric Measurement Techniques, 17, 6223-6245, https://doi.org/10.5194/amt-17-6223-2024, 2024.</p> <p><strong>[3]: </strong>Walbröl, A.: Codes for: Combining low and high frequency microwave radiometer measurements from the MOSAiC expedition for enhanced water vapour products (1.0.1). Zenodo. <a href="https://doi.org/10.5281/zenodo.11123136" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.11123136</a>, 2024.</p> <p><strong>[4]:</strong> Walbröl, A., Crewell, S., Engelmann, R., Orlandi, E., Griesche, H., Radenz, M., Hofer, J., Althausen, D., Maturilli, M., and Ebell, K.: Atmospheric temperature, water vapour and liquid water path from two microwave radiometers during MOSAiC, Scientific Data, 9, 534, https://doi.org/10.1038/s41597-022-01504-1, 2022.</p> <p><strong>[5]:</strong> Walbröl, A., and Mech, M.: ERA5 based training, validation and evaluation data for retrievals combining 22-58 GHz with 175-340 GHz microwave radiometer measurements during MOSAiC (1.0.0). Zenodo. https://doi.org/10.5281/zenodo.10997365, 2024.</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.