cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.uzgjkv
title: Occurrence Download

description: A dataset containing 692 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phelsuma madagascariensis"
 ]
}

 The dataset includes 692 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032429-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.msa55j
title: Occurrence Download

description: A dataset containing 280 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Haliotis discus",
 "Country is Japan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 280 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032431-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57970/0cnrg-z8d41
title: Data for "Diagnostics for Imbalance on the Convective Scale"

description: Data to reproduce the plots in the related publication: Diefenbach, T., L. Scheck, M. Weissmann, and G. Craig, 2024: Diagnostics for Imbalance on the Convective Scale. Mon. Wea. Rev., https://doi.org/10.1175/MWR-D-23-0291.1.

Access to dataData files are available for download at: https://opendata.physik.lmu.de/mcnfx-nry46
DOI: 10.57970/mcnfx-nry46
title: Data for "Diagnostics for Imbalance on the Convective Scale"

description: Data to reproduce the plots in the related publication: Diefenbach, T., L. Scheck, M. Weissmann, and G. Craig, 2024: Diagnostics for Imbalance on the Convective Scale. Mon. Wea. Rev., https://doi.org/10.1175/MWR-D-23-0291.1.

Access to dataData files are available for download at: https://opendata.physik.lmu.de/mcnfx-nry46
DOI: 10.57970/gqdg2-amk82
title: MODIS Black-Sky Albedo Climatology (2013-2022)

description: This dataset contains a climatological average of Earth's surface black-sky albedo, constructed by averaging the MODIS Surface Reflectance dataset MCD43D (version 6.1) over a period of ten years (from 2013 to 2022). In particular, we used the products MCD43D42 to MCD43D48, corresponding to seven MODIS spectral bands in the visible and the near-infrared. The dataset contains the climatological albedo maps for all seven spectral bands, as well as the origin of every pixel for each band. The dataset consists of 365 files, one for each day of the year, with a spatial resolution of 30 arc seconds in latitude and longitude. The details of the climatological average are discussed in the paper "HAMSTER: Hyperspectral Albedo Maps dataset with high Spatial and TEmporal Resolution" (Roccetti et al., 2024, https://doi.org/10.5194/egusphere-2024-167).
Access to dataData files are available for download at: https://opendata.physik.lmu.de/pt52a-nhm92
DOI: 10.57970/pt52a-nhm92
title: MODIS Black-Sky Albedo Climatology (2013-2022)

description: This dataset contains a climatological average of Earth's surface black-sky albedo, constructed by averaging the MODIS Surface Reflectance dataset MCD43D (version 6.1) over a period of ten years (from 2013 to 2022). In particular, we used the products MCD43D42 to MCD43D48, corresponding to seven MODIS spectral bands in the visible and the near-infrared. The dataset contains the climatological albedo maps for all seven spectral bands, as well as the origin of every pixel for each band. The dataset consists of 365 files, one for each day of the year, with a spatial resolution of 30 arc seconds in latitude and longitude. The details of the climatological average are discussed in the paper "HAMSTER: Hyperspectral Albedo Maps dataset with high Spatial and TEmporal Resolution" (Roccetti et al., 2024, https://doi.org/10.5194/egusphere-2024-167).
Access to dataData files are available for download at: https://opendata.physik.lmu.de/pt52a-nhm92
DOI: 10.57970/04zd8-7et52
title: HAMSTER: Hyperspectral Albedo Maps dataset with high Spatial and TEmporal Resolution

description: This dataset contains 365 hyperspectral albedo maps of Earth, one for each day of the year. The hyperspectral albedo maps are built from a 10-year average of the MODIS Surface Reflectance dataset (MCD43D 42-48, version 6.1). Using a Principal Component Analysis (PCA) regression algorithm we combine different hyperspectral laboratory and in-situ measurements spectra of various dry soils, vegetation surfaces and mixure of both to reconstruct the albedo maps in the entire wavelength range from 400 to 2500 nm, with a spectral resolution of 10 nm. The hyperspectral albedo maps have a spatial resolution of 0.05° in latitude and longitude. Additional hyperspectral albedo maps with a coarser spatial or spectral resolution are available upon request.
Access to dataData files are available for download at: https://opendata.physik.lmu.de/04zd8-7et52
DOI: 10.57970/q6k2b-29j81
title: HAMSTER: Hyperspectral Albedo Maps dataset with high Spatial and TEmporal Resolution

description: This dataset contains 365 hyperspectral albedo maps of Earth, one for each day of the year. The hyperspectral albedo maps are built from a 10-year average of the MODIS Surface Reflectance dataset (MCD43D 42-48, version 6.1). Using a Principal Component Analysis (PCA) regression algorithm we combine different hyperspectral laboratory and in-situ measurements spectra of various dry soils, vegetation surfaces and mixure of both to reconstruct the albedo maps in the entire wavelength range from 400 to 2500 nm, with a spectral resolution of 10 nm. The hyperspectral albedo maps have a spatial resolution of 0.05° in latitude and longitude. Additional hyperspectral albedo maps with a coarser spatial or spectral resolution are available upon request.
Access to dataData files are available for download at: https://opendata.physik.lmu.de/04zd8-7et52
DOI: 10.15468/dl.uf2fg7
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Haliotis gigantea",
 "Country is China",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032432-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34894/dsubxu
title: Vechtende Jongeren
title: Vechtsport als sociaalpedagogische interventie

description: Deze data is verzameld om inzicht te krijgen in de mogelijke bijdrage aan veerkracht van kickboksen. Het betreft transcripten van gesprekken met jongeren en gesprekken met trainers/jongerenwerkers en vragenlijst data.
description: De data zijn gearchiveerd in het gesloten Fontys Data-archief en zijn alleen opvraagbaar door leden van het onderzoeksteam.
DOI: 10.57970/0f0ep-q9x13
title: A gridded 30-Day dataset of convective precipitation from radar and WRF simulations with 5 microphysics schemes

description: This dataset contains 30 days of model and radar data of convective precipitation over the Munich area gridded to the same Cartesian grid with 400 m horizontal grid spacing. A key feature of this data set is easy statistical comparison of simulated convective precipitation with polarimetric radar observations. The original model data is based on Weather Research and Forecasting (WRF) simulations with 5 different microphysics schemes. This facilitates the evaluation of the impact of the cloud  microphysics schemes on the prediction of convective precipitation. Synthetic polarimetric radar signals were created by employing the radar forward operator CR-SIM. The observational dataset is based on C-band polarimetric radar data. For fair comparison, the model and radar data were gridded to the same Cartesian grid by taking beam propagation effects into account.
Access to dataData files are available for download at: https://opendata.physik.lmu.de/0f0ep-q9x13
DOI: 10.57970/7cg96-9na66
title: A gridded 30-Day dataset of convective precipitation from radar and WRF simulations with 5 microphysics schemes

description: This dataset contains 30 days of model and radar data of convective precipitation over the Munich area gridded to the same Cartesian grid with 400 m horizontal grid spacing. A key feature of this data set is easy statistical comparison of simulated convective precipitation with polarimetric radar observations. The original model data is based on Weather Research and Forecasting (WRF) simulations with 5 different microphysics schemes. This facilitates the evaluation of the impact of the cloud  microphysics schemes on the prediction of convective precipitation. Synthetic polarimetric radar signals were created by employing the radar forward operator CR-SIM. The observational dataset is based on C-band polarimetric radar data. For fair comparison, the model and radar data were gridded to the same Cartesian grid by taking beam propagation effects into account.
Access to dataData files are available for download at: https://opendata.physik.lmu.de/0f0ep-q9x13
DOI: 10.57970/30v9h-wae39
title: Convection-permitting WRF simulations with 5 microphysics schemes over 30 days

description: This dataset contains Weather Research and Forecasting (WRF) model output with five different cloud microphysics schemes for 30 convective precipitation days in 2019 and 2020. A key feature is the large number of simulation days at high horizontal grid spacing (400 m) which allows for a statistical comparison of the influence of microphysics schemes
on the prediction of convection. The simulation setups include three domains. An outer Europe domain with 10 km horizontal grid spacing and two two-way nested domains: Germany (2 km) and Munich (400 m). Each simulation starts at 18 UTC on the previous day and covers 30 hours.
Initial and lateral boundary conditions were provided by GFS reanalysis data at 0.25° grid spacing.
Access to dataData files are available for download at: https://opendata.physik.lmu.de/30v9h-wae39
DOI: 10.57970/k0jzg-p1c62
title: Convection-permitting WRF simulations with 5 microphysics schemes over 30 days

description: This dataset contains Weather Research and Forecasting (WRF) model output with five different cloud microphysics schemes for 30 convective precipitation days in 2019 and 2020. A key feature is the large number of simulation days at high horizontal grid spacing (400 m) which allows for a statistical comparison of the influence of microphysics schemes
on the prediction of convection. The simulation setups include three domains. An outer Europe domain with 10 km horizontal grid spacing and two two-way nested domains: Germany (2 km) and Munich (400 m). Each simulation starts at 18 UTC on the previous day and covers 30 hours.
Initial and lateral boundary conditions were provided by GFS reanalysis data at 0.25° grid spacing.
Access to dataData files are available for download at: https://opendata.physik.lmu.de/30v9h-wae39
DOI: 10.4121/34394aab-6139-4397-9235-f9f041ac9299
title: 3D displacement estimates due to deep-seated hydrocarbon production in Groningen from satellite radar interferometry, 2015-2023

description: This dataset provides 3D ground displacement estimates for the Groningen gas field area estimated from InSAR observations. The displacement vectors are derived using an augmented strapdown decomposition method, which estimates physically meaningful displacement components using ascending and descending InSAR Line-of-Sight (LoS) observations. <br> The strapdown approach enables so-called “3D-global / 2D-local” solutions by incorporating minimal but meaningful contextual information about the expected physical behavior and/or spatial geometry of the deformation field [1]. The method defines a local reference system with transversal, longitudinal, and normal (TLN) directions, with motion only occurring in the transversal-normal (TN) plane. The method allows for the incorporation of a prior uncertainty in the local frame orientation, enabling the propagation of this uncertainty to the final displacement estimates. This supports cartographic visualization using vector fields with confidence ellipses, enhancing interpretability. See for a full description of the method [2]. <br> This repository provides the 3D displacement estimates due to deep-seated hydrocarbon production in the Groningen region. The dataset includes a set of coordinates, where for each coordinate nine parameters are provided <br>East displacement velocity estimate, d_e [mm/yr] North displacement velocity estimate, d_n [mm/yr] Up displacement velocity estimate, d_u [mm/yr] The variance of d_e The variance of d_n The variance of d_u The covariance between d_e and d_n The covariance between d_e and d_u The covariance between d_n and d_u <br> Each set of parameters in the dataset represents a single Region of Uniform Motion (RUM), which is a 500x500m grid cel. The dataset is stored as a csv file. In addition, the JSON file provides the metadata related to this dataset. The GitHub repository provides an example script on how to read and plot the 3D velocity data including the error ellipses. <br>The data can be visualized using the link to the github repository. [1] Brouwer, Wietske S., and Ramon F. Hanssen. "Estimating three-dimensional displacements with InSAR: the strapdown approach." Journal of Geodesy 98.12 (2024): 110.<br>[2] Brouwer, Wietske S., and Ramon F. Hanssen. "3D surface displacement estimation over the Groningen gas field, the Netherlands" Submitted to: <em>Netherlands Journal of Geoscience.</em>
DOI: 10.4121/34394aab-6139-4397-9235-f9f041ac9299.v1
title: 3D displacement estimates due to deep-seated hydrocarbon production in Groningen from satellite radar interferometry, 2015-2023

description: This dataset provides 3D ground displacement estimates for the Groningen gas field area estimated from InSAR observations. The displacement vectors are derived using an augmented strapdown decomposition method, which estimates physically meaningful displacement components using ascending and descending InSAR Line-of-Sight (LoS) observations. <br> The strapdown approach enables so-called “3D-global / 2D-local” solutions by incorporating minimal but meaningful contextual information about the expected physical behavior and/or spatial geometry of the deformation field [1]. The method defines a local reference system with transversal, longitudinal, and normal (TLN) directions, with motion only occurring in the transversal-normal (TN) plane. The method allows for the incorporation of a prior uncertainty in the local frame orientation, enabling the propagation of this uncertainty to the final displacement estimates. This supports cartographic visualization using vector fields with confidence ellipses, enhancing interpretability. See for a full description of the method [2]. <br> This repository provides the 3D displacement estimates due to deep-seated hydrocarbon production in the Groningen region. The dataset includes a set of coordinates, where for each coordinate nine parameters are provided <br>East displacement velocity estimate, d_e [mm/yr] North displacement velocity estimate, d_n [mm/yr] Up displacement velocity estimate, d_u [mm/yr] The variance of d_e The variance of d_n The variance of d_u The covariance between d_e and d_n The covariance between d_e and d_u The covariance between d_n and d_u <br> Each set of parameters in the dataset represents a single Region of Uniform Motion (RUM), which is a 500x500m grid cel. The dataset is stored as a csv file. In addition, the JSON file provides the metadata related to this dataset. The GitHub repository provides an example script on how to read and plot the 3D velocity data including the error ellipses. <br>The data can be visualized using the link to the github repository. [1] Brouwer, Wietske S., and Ramon F. Hanssen. "Estimating three-dimensional displacements with InSAR: the strapdown approach." Journal of Geodesy 98.12 (2024): 110.<br>[2] Brouwer, Wietske S., and Ramon F. Hanssen. "3D surface displacement estimation over the Groningen gas field, the Netherlands" Submitted to: <em>Netherlands Journal of Geoscience.</em>
DOI: 10.15468/dl.mf6mrw
title: Occurrence Download

description: A dataset containing 37027 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Occurrence evidence, Observation, Living Specimen)",
 "TaxonKey is Pinus"
 ]
}

 The dataset includes 37027 records from 106 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032433-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13884523
title: Data for Investigating aquatic biodegradation of pristine and UV-irradiated microplastics from conventional and biodegradable agricultural plastics using advanced analytical techniques

description: The zipped folder contains the dataset for the article titled Investigating Aquatic Biodegradation of Pristine and UV-Irradiated Microplastics from Conventional and Biodegradable Agricultural Plastics Using Advanced Analytical Techniques.
DOI: 10.5281/zenodo.13884524
title: Data for Investigating aquatic biodegradation of pristine and UV-irradiated microplastics from conventional and biodegradable agricultural plastics using advanced analytical techniques

description: The zipped folder contains the dataset for the article titled Investigating Aquatic Biodegradation of Pristine and UV-Irradiated Microplastics from Conventional and Biodegradable Agricultural Plastics Using Advanced Analytical Techniques.
DOI: 10.34740/kaggle/dsv/13214336
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.25919/8yhf-fw62
title: NBDL Data Download
DOI: 10.15468/dl.g8yp5a
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Vaccinium ashei"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032434-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rur432
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Haliotis rufescens",
 "Country is China",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032435-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8p3vhd
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Haliotis rufescens",
 "Country is Peru",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032436-250920141307145/datasets/export for details.
DOI: 10.15468/dl.fcs75m
title: Occurrence Download

description: A dataset containing 4508163 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Japan",
 "OccurrenceStatus is Present",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 4508163 records from 563 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032395-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7mqsty
title: Occurrence Download

description: A dataset containing 19132 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Year is greater than or equal to 1970",
 "TaxonKey is Duttaphrynus melanostictus (Schneider, 1799)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 19132 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063118-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4thhpa
title: Occurrence Download

description: A dataset containing 4296 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Tithonia diversifolia (Hemsl.) A.Gray",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 4296 records from 153 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009275-180824113759888/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gc82wa
title: Occurrence Download

description: A dataset containing 9184 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Year is greater than or equal to 1970",
 "TaxonKey is Halyomorpha halys (Stål, 1855)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 9184 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063127-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kbw23d
title: Occurrence Download

description: A dataset containing 673 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Salix petrophila Rydb.",
 "TaxonKey is Salix ovatomicrophylla K.S.Hao ex C.F.Fang & A.K.Skvortsov",
 "TaxonKey is Salix pellita Andersson"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 673 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017708-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uwayfk
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Italy",
 "HasCoordinate is true",
 "TaxonKey is Saga pedo (Pallas, 1771)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 18 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009275-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t4ub6z
title: Occurrence Download

description: A dataset containing 167 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((76.04736 45.76904,121.04736 45.76904,121.04736 68.57666,76.04736 68.57666,76.04736 45.76904))",
 "TaxonKey is Helianthus tuberosus L."
 ]
}

 The dataset includes 167 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071696-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jhwxxt
title: Occurrence Download

description: A dataset containing 15038 species occurrences available in GBIF matching the query:
{
 "or" : [
 "TaxonKey is Morus alba Sudw.",
 "TaxonKey is Morus alba L.",
 "TaxonKey is Morus alba Bureau"
 ]
}

 The dataset includes 15038 records from 430 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070361-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.