cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14754177
title: Dataset for Global Lunar Boulder Map from LRO NAC optical images using Deep Learning: Implications for Regolith and Protolith

description: The global boulder diameter, area, and aspect ratio distribution are stored in "global_boulder_diameter_distr.csv", "global_boulder_area_distr.csv" and "global_boulder_aspect_ratio_distr.csv".

The dependence of the boulder density (per square kilometer) and the mean boulder diameter on the longitude and latitude are saved in "global_boulder_longitude_distr.csv" and "global_boulder_latitude_distr.csv".

The size of the largest ejected boulder depending on the crater diameter are stored in "craters_max_boulder_diams.csv"

The average maximum and mean boulder diameter distribution with respect to the source crater are stored in "craters_boulders_dists.csv".

The cumulative size-frequency distributions of the ejecta boulders around fresh craters and cold spots are stored for maria and highlands in:



"csfd_coldspots_300_400m.csv": Cold spot diameters between 300 and 400m

"csfd_coldspots_400_500m.csv": Cold spot diameters between 400 and 500m

"csfd_coldspots_500_700m.csv": Cold spot diameters between 500 and 700m

"csfd_craters_700_1000m.csv": Crater diameters between 700 and 1000m

"csfd_craters_1000_1500m.csv": Crater diameters between 1000 and 1500m

"csfd_craters_1500_2000m.csv": Crater diameters between 1500 and 2000m



The comparison between the mean annulus NAC and Diviner rock abundance for the different craters is stored in "nra_dra_comparison_craters.csv"

The boulder density maps are:



"boulder_density_map.tif": For all boulder diameters

"boulder_density_4p5_10m.tif": For boulder diameters between 4.5 and 10m

"boulder_density_10_30m.tif": For boulder diameters between 10 and 30m

"boulder_density_30_1000m.tif": For boulder diameters larger than 30m



The mean boulder diameter map is stored in "boulder_mean_diameter_map.tif"

The NAC rock abundance map is saved in "nra_map.tif"


For further information, see article.
DOI: 10.5281/zenodo.15520275
title: Dataset for Global Lunar Boulder Map from LRO NAC optical images using Deep Learning: Implications for Regolith and Protolith

description: The global boulder diameter, area, and aspect ratio distribution are stored in "global_boulder_diameter_distr.csv", "global_boulder_diameter_distr_cumulative.csv" "global_boulder_area_distr.csv" and "global_boulder_aspect_ratio_distr.csv".

The dependence of the boulder density (per square kilometer) and the mean boulder diameter on the longitude and latitude are saved in "global_boulder_longitude_distr.csv" and "global_boulder_latitude_distr.csv".

The size of the largest ejected boulder depending on the crater diameter are stored in "craters_max_boulder_diams.csv"

The average maximum and mean boulder diameter distribution with respect to the source crater are stored in "craters_boulders_dists.csv".

The cumulative size-frequency distributions of the ejecta boulders around fresh craters and cold spots are stored for maria and highlands in:



"csfd_coldspots_300_400m.csv": Cold spot diameters between 300 and 400m

"csfd_coldspots_400_500m.csv": Cold spot diameters between 400 and 500m

"csfd_coldspots_500_700m.csv": Cold spot diameters between 500 and 700m

"csfd_craters_700_1000m.csv": Crater diameters between 700 and 1000m

"csfd_craters_1000_1500m.csv": Crater diameters between 1000 and 1500m

"csfd_craters_1500_2000m.csv": Crater diameters between 1500 and 2000m



The boulder density maps are:



"boulder_density_map.tif": For all boulder diameters

"boulder_density_4p5_10m.tif": For boulder diameters between 4.5 and 10m

"boulder_density_10_30m.tif": For boulder diameters between 10 and 30m

"boulder_density_30_1000m.tif": For boulder diameters larger than 30m



The mean boulder diameter map is stored in "boulder_mean_diameter_map.tif"

The NAC rock abundance map is saved in "nra_map.tif"


For further information, see article.
DOI: 10.60964/bndu-zgk7-jg52
title: Group analysis results showing the effects of transcranial ultrasound stimulation on thalamic nuclei

description: Group analysis results from article “Ultrasound system for precise neuromodulation of human deep brain circuits”.https://www.biorxiv.org/content/10.1101/2024.06.08.597305v1Volunteers took part in a transcranial ultrasound stimulation (TUS) study with online and offline stimulation experiments. TUS was administered to the lateral geniculate nucleus (LGN, on-target) and to an active control site (medial dorsal nucleus, MDN, off-target). Analysis was performed according to the methods in the paper above. We share the group analysis results for each experiment and each target as NIFTI format files.
DOI: 10.5281/zenodo.10091673
title: Precipitation of totalizer gauges in Wägital catchment, status 2023-11-09

description: Precipitation [mm] of totalizer gauges in Wägital catchment, Switzerland, for the hydrological year, measured in half-year resolution.This dataset includes the following stations:
3336  Seeende            711949/213958  [8.91248°E/47.06718°N]   905masl  1926-20233338  Blattli/Oberhof    713212/216463  [8.92973°E/47.08949°N]   920masl  1926-20233339  Rohr               710770/217398  [8.89780°E/47.09831°N]  1198masl  1926-20233352  Unter Alten        708257/218890  [8.86506°E/47.11215°N]  1291masl  1926-20233382  Rötstock           713195/220219  [8.93045°E/47.12328°N]  1195masl  1926-2023
Funded currently or in the past by
 
Federal Office of Meteorology and Climatology MeteoSwiss in the context of GCOS Switzerland 
Meteodat GmbH 
Institute of Geography, University of Zurich 
WSL Institute for Snow and Avalanche Research SLF 
Institute of Geography, ETH Zurich (IAC ETH Zurich) 
AG Kraftwerk Wägital (AXPO and EWZ) 
See also https://www.meteodat.ch/totalisatoren.html
DOI: 10.5281/zenodo.1409535
title: Precipitation of totalizer gauges in Wägital catchment, status 2025-04-28

description: Precipitation [mm] of totalizer gauges in Wägital catchment, Switzerland, for the hydrological year, measured in half-year resolution.This dataset includes the following stations:
3336  Seeende            711949/213958  [8.91248°E/47.06718°N]   905masl  1926-20243338  Blattli/Oberhof    713212/216463  [8.92973°E/47.08949°N]   920masl  1926-20243339  Rohr               710770/217398  [8.89780°E/47.09831°N]  1198masl  1926-20243352  Unter Alten        708257/218890  [8.86506°E/47.11215°N]  1291masl  1926-20243382  Rötstock           713195/220219  [8.93045°E/47.12328°N]  1195masl  1926-2024
Funded currently or in the past by

Federal Office of Meteorology and Climatology MeteoSwiss in the context of GCOS Switzerland
Meteodat GmbH
Institute of Geography, University of Zurich
WSL Institute for Snow and Avalanche Research SLF
Institute of Geography, ETH Zurich (IAC ETH Zurich)
AG Kraftwerk Wägital (AXPO and EWZ)
See also https://www.meteodat.ch/totalisatoren.html
DOI: 10.5281/zenodo.1409536
title: Precipitation Of Totalizer Gauges In Wägital Catchment, Status 2018-09-05

description: Precipitation [mm] of totalizer gauges in Wägital catchment, Switzerland, for the hydrological year, measured in half-year resolution.<br>This dataset includes the following stations: 3336  Seeende            711950/213950 [8.91249°E/47.06711°N]   910masl  1926-2017 3338  Blattli/Oberhof    713200/216460 [8.92957°E/47.08947°N]   933masl  1926-2017 3339  Rohr               710775/217400 [8.89787°E/47.09833°N]  1190masl  1926-2017 3352  Unter Alten        708300/218830 [8.86562°E/47.11160°N]  1295masl  1926-2017 3382  Rötstock           713150/220175 [8.92984°E/47.12289°N]  1170masl  1926-2017 Funded currently or in the past by Federal Office of Meteorology and Climatology MeteoSwiss in the context of GCOS Switzerland Meteodat GmbH Institute of Geography, University of Zurich WSL Institute for Snow and Avalanche Research SLF Institute of Geography, ETH Zurich (IAC ETH Zurich) AG Kraftwerk Wägital (AXPO and EWZ) <br>See also https://www.meteodat.ch/totalisatoren.html
DOI: 10.5281/zenodo.15296612
title: Precipitation of totalizer gauges in Wägital catchment, status 2025-04-28

description: Precipitation [mm] of totalizer gauges in Wägital catchment, Switzerland, for the hydrological year, measured in half-year resolution.This dataset includes the following stations:
3336  Seeende            711949/213958  [8.91248°E/47.06718°N]   905masl  1926-20243338  Blattli/Oberhof    713212/216463  [8.92973°E/47.08949°N]   920masl  1926-20243339  Rohr               710770/217398  [8.89780°E/47.09831°N]  1198masl  1926-20243352  Unter Alten        708257/218890  [8.86506°E/47.11215°N]  1291masl  1926-20243382  Rötstock           713195/220219  [8.93045°E/47.12328°N]  1195masl  1926-2024
Funded currently or in the past by

Federal Office of Meteorology and Climatology MeteoSwiss in the context of GCOS Switzerland
Meteodat GmbH
Institute of Geography, University of Zurich
WSL Institute for Snow and Avalanche Research SLF
Institute of Geography, ETH Zurich (IAC ETH Zurich)
AG Kraftwerk Wägital (AXPO and EWZ)
See also https://www.meteodat.ch/totalisatoren.html
DOI: 10.5281/zenodo.2583607
title: Precipitation of totalizer gauges in Wägital catchment, status 2019-03-05

description: Precipitation [mm] of totalizer gauges in Wägital catchment, Switzerland, for the hydrological year, measured in half-year resolution.<br>This dataset includes the following stations: 3336  Seeende            711950/213950 [8.91249°E/47.06711°N]   910masl  1926-2018 3338  Blattli/Oberhof    713200/216460 [8.92957°E/47.08947°N]   933masl  1926-2018 3339  Rohr               710775/217400 [8.89787°E/47.09833°N]  1190masl  1926-2018 3352  Unter Alten        708300/218830 [8.86562°E/47.11160°N]  1295masl  1926-2018 3382  Rötstock           713150/220175 [8.92984°E/47.12289°N]  1170masl  1926-2018 Funded currently or in the past by Federal Office of Meteorology and Climatology MeteoSwiss in the context of GCOS Switzerland Meteodat GmbH Institute of Geography, University of Zurich WSL Institute for Snow and Avalanche Research SLF Institute of Geography, ETH Zurich (IAC ETH Zurich) AG Kraftwerk Wägital (AXPO and EWZ) <br>See also https://www.meteodat.ch/totalisatoren.html
DOI: 10.5281/zenodo.2591006
title: Precipitation of totalizer gauges in Wägital catchment, status 2019-03-12

description: Precipitation [mm] of totalizer gauges in Wägital catchment, Switzerland, for the hydrological year, measured in half-year resolution.<br>This dataset includes the following stations: 3336  Seeende            711950/213950 [8.91249°E/47.06711°N]   910masl  1926-2018 3338  Blattli/Oberhof    713200/216460 [8.92957°E/47.08947°N]   933masl  1926-2018 3339  Rohr               710775/217400 [8.89787°E/47.09833°N]  1190masl  1926-2018 3352  Unter Alten        708300/218830 [8.86562°E/47.11160°N]  1295masl  1926-2018 3382  Rötstock           713150/220175 [8.92984°E/47.12289°N]  1170masl  1926-2018 Funded currently or in the past by Federal Office of Meteorology and Climatology MeteoSwiss in the context of GCOS Switzerland Meteodat GmbH Institute of Geography, University of Zurich WSL Institute for Snow and Avalanche Research SLF Institute of Geography, ETH Zurich (IAC ETH Zurich) AG Kraftwerk Wägital (AXPO and EWZ) <br>This version corrects the half-year readings of the hydrological year 1993/1994.<br>See also https://www.meteodat.ch/totalisatoren.html
DOI: 10.5281/zenodo.3642317
title: Precipitation of totalizer gauges in Wägital catchment, status 2020-02-05

description: Precipitation [mm] of totalizer gauges in Wägital catchment, Switzerland, for the hydrological year, measured in half-year resolution.<br>This dataset includes the following stations:<pre><code> 3336 Seeende 711949/213958 [8.91249°E/47.06718°N] 905masl 1926-2019<br> 3338 Blattli/Oberhof 713212/216463 [8.92973°E/47.08950°N] 920masl 1926-2019<br> 3339 Rohr 710770/217398 [8.89781°E/47.09832°N] 1198masl 1926-2019<br> 3352 Unter Alten 708257/218890 [8.86508°E/47.11215°N] 1291masl 1926-2019<br> 3382 Rötstock 713195/220219 [8.93046°E/47.12328°N] 1195masl 1926-2019<br> </code></pre>Funded currently or in the past by Federal Office of Meteorology and Climatology MeteoSwiss in the context of GCOS Switzerland Meteodat GmbH Institute of Geography, University of Zurich WSL Institute for Snow and Avalanche Research SLF Institute of Geography, ETH Zurich (IAC ETH Zurich) AG Kraftwerk Wägital (AXPO and EWZ) <br>See also https://www.meteodat.ch/totalisatoren.html
DOI: 10.5281/zenodo.4687035
title: Precipitation of totalizer gauges in Wägital catchment, status 2021-04-14

description: Precipitation [mm] of totalizer gauges in Wägital catchment, Switzerland, for the hydrological year, measured in half-year resolution.<br>This dataset includes the following stations:<pre><code> 3336 Seeende 711949/213958 [8.91249°E/47.06718°N] 905masl 1926-2020<br> 3338 Blattli/Oberhof 713212/216463 [8.92973°E/47.08950°N] 920masl 1926-2020<br> 3339 Rohr 710770/217398 [8.89781°E/47.09832°N] 1198masl 1926-2020<br> 3352 Unter Alten 708257/218890 [8.86508°E/47.11215°N] 1291masl 1926-2020<br> 3382 Rötstock 713195/220219 [8.93046°E/47.12328°N] 1195masl 1926-2020<br> </code></pre>Funded currently or in the past by Federal Office of Meteorology and Climatology MeteoSwiss in the context of GCOS Switzerland Meteodat GmbH Institute of Geography, University of Zurich WSL Institute for Snow and Avalanche Research SLF Institute of Geography, ETH Zurich (IAC ETH Zurich) AG Kraftwerk Wägital (AXPO and EWZ) <br>See also https://www.meteodat.ch/totalisatoren.html
DOI: 10.5281/zenodo.6473151
title: Precipitation of totalizer gauges in Wägital catchment, status 2022-04-20

description: Precipitation [mm] of totalizer gauges in Wägital catchment, Switzerland, for the hydrological year, measured in half-year resolution.<br>This dataset includes the following stations:<pre><code> 3336 Seeende 711949/213958 [8.91248°E/47.06718°N] 905masl 1926-2021<br> 3338 Blattli/Oberhof 713212/216463 [8.92973°E/47.08949°N] 920masl 1926-2021<br> 3339 Rohr 710770/217398 [8.89780°E/47.09831°N] 1198masl 1926-2021<br> 3352 Unter Alten 708257/218890 [8.86506°E/47.11215°N] 1291masl 1926-2021<br> 3382 Rötstock 713195/220219 [8.93045°E/47.12328°N] 1195masl 1926-2021<br> </code></pre>Funded currently or in the past by Federal Office of Meteorology and Climatology MeteoSwiss in the context of GCOS Switzerland Meteodat GmbH Institute of Geography, University of Zurich WSL Institute for Snow and Avalanche Research SLF Institute of Geography, ETH Zurich (IAC ETH Zurich) AG Kraftwerk Wägital (AXPO and EWZ) <br>See also https://www.meteodat.ch/totalisatoren.html
DOI: 10.5281/zenodo.7516299
title: Precipitation of totalizer gauges in Wägital catchment, status 2023-01-09

description: Precipitation [mm] of totalizer gauges in Wägital catchment, Switzerland, for the hydrological year, measured in half-year resolution.<br>This dataset includes the following stations:<pre><code> 3336 Seeende 711949/213958 [8.91248°E/47.06718°N] 905masl 1926-2022<br> 3338 Blattli/Oberhof 713212/216463 [8.92973°E/47.08949°N] 920masl 1926-2022<br> 3339 Rohr 710770/217398 [8.89780°E/47.09831°N] 1198masl 1926-2022<br> 3352 Unter Alten 708257/218890 [8.86506°E/47.11215°N] 1291masl 1926-2022<br> 3382 Rötstock 713195/220219 [8.93045°E/47.12328°N] 1195masl 1926-2022<br> </code></pre>Funded currently or in the past by Federal Office of Meteorology and Climatology MeteoSwiss in the context of GCOS Switzerland Meteodat GmbH Institute of Geography, University of Zurich WSL Institute for Snow and Avalanche Research SLF Institute of Geography, ETH Zurich (IAC ETH Zurich) AG Kraftwerk Wägital (AXPO and EWZ) <br>See also https://www.meteodat.ch/totalisatoren.html
DOI: 10.57760/sciencedb.24292
title: A dataset of Heilongjiang soil species based on the Second National Soil Survey
title: 基于第二次全国土壤普查的黑龙江土种数据集

description: This dataset originates from the systematic collation and processing of the printed content in Soil Species of Heilongjiang, compiled by the Heilongjiang Soil Survey Office and the Heilongjiang Land Survey and Utilization Technology Center in October 1990. As an outcome of the Second National Soil Survey in Heilongjiang Province, this monograph comprehensively merges and organizes data for 254 soil species, including their distribution, main characteristics, overview of production performance, and physic-chemical properties of typical profiles. Based on the information characteristics of soil science and online service requirements, the original data underwent informatization, standardization, and structured extraction to construct seven data tables using soil species codes and names as key indices. These tables cover soil classification information, basic soil species data, landscape information of typical profiles, genetic horizon details of typical profiles, physicochemical properties of typical profiles, administrative distribution of soil species, and administrative codes for cities and counties. The dataset features reliable original data sources and scientific, standardized collection methods. It serves the third national soil survey and is widely applied in fields such as regional land quality assessment, ecological environment restoration, and soil scientific research, providing a solid scientific foundation for the rational utilization of soil resources.
description: This dataset originates from the systematic collation and processing of the printed content in Soil Species of Heilongjiang, compiled by the Heilongjiang Soil Survey Office and the Heilongjiang Land Survey and Utilization Technology Center in October 1990. As an outcome of the Second National Soil Survey in Heilongjiang Province, this monograph comprehensively merges and organizes data for 254 soil species, including their distribution, main characteristics, overview of production performance, and physic-chemical properties of typical profiles. Based on the information characteristics of soil science and online service requirements, the original data underwent informatization, standardization, and structured extraction to construct seven data tables using soil species codes and names as key indices. These tables cover soil classification information, basic soil species data, landscape information of typical profiles, genetic horizon details of typical profiles, physicochemical properties of typical profiles, administrative distribution of soil species, and administrative codes for cities and counties. The dataset features reliable original data sources and scientific, standardized collection methods. It serves the third national soil survey and is widely applied in fields such as regional land quality assessment, ecological environment restoration, and soil scientific research, providing a solid scientific foundation for the rational utilization of soil resources.
DOI: 10.18419/darus-5531
title: Atmospyre v1.0.0
title: Atmospheric Sensor Logging Made Simple

description: Release v1.0.0 of AtmosPyre.&lt;br&gt;
AtmosPyre is a flexible library for atmospheric measurements. Monitor CO₂, Radon, and more with an intuitive Python API.
description: Use persistent identifiers from Software Heritage (
 
) to cite individual files or even lines of the source code.
DOI: 10.6084/m9.figshare.30636053.v1
title: <b>Genome-wide identification and expression analysi</b><b>s</b><b>of the aquaporin gene family in the Qinghai Toad-Headed Agama (</b><b><i>Phrynocephalus vlangalii</i></b><b>) and responses to acute cold stress</b>

description: Phrynocephalus vlangaliiis a unique oviparous lizard species in China. Previous field observations have revealed that <i>P. vlangalii</i>can enter a completely frozen state during non-hibernation seasons when triggered by sudden temperature drops, and recover normal physiological activity upon warming. The tolerance to acute cold stress is exceptionally rare among reptiles, and the underlying molecular physiological mechanisms remain unclear. Aquaporins (AQPs) are a family of transmembrane proteins, which play essential roles in maintaining water balance, regulating cellular functions, and supporting energy metabolism. Studies on freeze-tolerant frogs and insects have demonstrated that AQPs may play a significant role in whole-body water redistribution during low-temperature. We hypothesize that the remarkable tolerance to acute cold stress in P. vlangalii critically depends on the coordinated action of its AQP family members at the molecular level.Nevertheless, the regulation of water transport in <i>P. vlangalii</i>remains poorly understood, and the roles of different AQPs under varying temperature conditions are still unclear. This study aims to characterize the AQP gene family in P. vlangaliiand analyze their tissue-specific expression patterns. By elucidating how AQPs regulate internal water balance, this research will uncover the molecular mechanisms of water metabolism underpinning extreme climate adaptation, providing insights for conserving this and other plateau species.
DOI: 10.15468/dl.suwxtm
title: Occurrence Download

description: A dataset containing 7737 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Month is July",
 "OccurrenceStatus is Present",
 "TaxonKey is Corvus corax",
 "Year 2025-2025"
 ]
}

 The dataset includes 7737 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038750-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30636053
title: <b>Genome-wide identification and expression analysi</b><b>s</b><b>of the aquaporin gene family in the Qinghai Toad-Headed Agama (</b><b><i>Phrynocephalus vlangalii</i></b><b>) and responses to acute cold stress</b>

description: Phrynocephalus vlangaliiis a unique oviparous lizard species in China. Previous field observations have revealed that <i>P. vlangalii</i>can enter a completely frozen state during non-hibernation seasons when triggered by sudden temperature drops, and recover normal physiological activity upon warming. The tolerance to acute cold stress is exceptionally rare among reptiles, and the underlying molecular physiological mechanisms remain unclear. Aquaporins (AQPs) are a family of transmembrane proteins, which play essential roles in maintaining water balance, regulating cellular functions, and supporting energy metabolism. Studies on freeze-tolerant frogs and insects have demonstrated that AQPs may play a significant role in whole-body water redistribution during low-temperature. We hypothesize that the remarkable tolerance to acute cold stress in P. vlangalii critically depends on the coordinated action of its AQP family members at the molecular level.Nevertheless, the regulation of water transport in <i>P. vlangalii</i>remains poorly understood, and the roles of different AQPs under varying temperature conditions are still unclear. This study aims to characterize the AQP gene family in P. vlangaliiand analyze their tissue-specific expression patterns. By elucidating how AQPs regulate internal water balance, this research will uncover the molecular mechanisms of water metabolism underpinning extreme climate adaptation, providing insights for conserving this and other plateau species.
DOI: 10.25345/c5s756z6w
title: MassIVE MSV000099931 - GNPS - GMF Gaultheria 2 - Chile - 2025
title: Extracto etanolico de la planta nativa Gaultheria mucronata
DOI: 10.15468/dl.rg28td
title: Occurrence Download

description: A dataset containing 59668 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Canadian Museum of Nature Mammal Collection"
 ]
}

 The dataset includes 59668 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038743-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.