cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4121/8fa00e8d-4cc9-469e-a034-da5aab811f5a.v1
title: PAR009 Optical disdrometer data at Lutjewad

description: <strong>Description:</strong> In-situ measurements of raindrop size distributions, fall velocities, drop number concentrations and surface rain rates recorded by an OTT Parsivel2 disdrometer named "PAR009" at a height of 3 meters at the Lutjewad atmospheric measurement station on the northern coast of the Netherlands, approximately 30 km northeast from the city of Groningen. The rural landscape to the south consists mainly of pasture and cropland with patches of forested land with livestock dominated by dairy cows and sheep. Set up directly behind the Wadden Sea dike, the site features a 60 meter tall sampling tower, a 10 meter platform, a laboratory building, and an aerosol laboratory container. The station monitors greenhouse gases and trace gas species, sampling aerosol number, size, and composition at different altitudes. Lutjewad is part of the European research infrastructure ICOS, providing continuous greenhouse gas concentrations. The coastal location means that the site samples relatively clean marine background air in conditions of northerly winds and more polluted air masses during conditions of south-easterly and south-westerly winds.<br><strong>Format:</strong> Each NetCDF file covers a full month of observations. The temporal resolution is 1 minute. Data are provided "as is", without any post-processing. The NetCDF files contain all relevant information about all the variables, attributes and units. The global attributes of the NetCDF files contain important information about the type of sensor, logging software, project contributors and history of the dataset. If a monthly file is missing, no data are available for this month.<br><strong>Relevance:</strong> Optical disdrometer data are useful for studying the type, dynamics and microphysics of precipitation from the perspective of a fixed observer on the ground. The data can be used to help calibrate weather radars, improve quantitative precipitation estimates, calculate the absorption/attenuation/propagation of electromagnetic signals through the atmosphere, and quantify important physical quantities such as liquid water content, rain amount, intensity and kinetic energy.<br><strong>Note:</strong> "PAR009_Lutjewad" replaces "PAR008_Lutjewad" which was damaged on April 7, 2022 during a storm.
DOI: 10.4121/8fa00e8d-4cc9-469e-a034-da5aab811f5a.v2
title: PAR009 Optical disdrometer data at Lutjewad

description: <strong>Description:</strong> In-situ measurements of raindrop size distributions, fall velocities, drop number concentrations and surface rain rates recorded by an OTT Parsivel2 disdrometer named "PAR009" at a height of 3 meters at the Lutjewad atmospheric measurement station on the northern coast of the Netherlands, approximately 30 km northeast from the city of Groningen. The rural landscape to the south consists mainly of pasture and cropland with patches of forested land with livestock dominated by dairy cows and sheep. Set up directly behind the Wadden Sea dike, the site features a 60 meter tall sampling tower, a 10 meter platform, a laboratory building, and an aerosol laboratory container. The station monitors greenhouse gases and trace gas species, sampling aerosol number, size, and composition at different altitudes. Lutjewad is part of the European research infrastructure ICOS, providing continuous greenhouse gas concentrations. The coastal location means that the site samples relatively clean marine background air in conditions of northerly winds and more polluted air masses during conditions of south-easterly and south-westerly winds.<br><strong>Format:</strong> Each NetCDF file covers a full month of observations. The temporal resolution is 1 minute. Data are provided "as is", without any post-processing. The NetCDF files contain all relevant information about all the variables, attributes and units. The global attributes of the NetCDF files contain important information about the type of sensor, logging software, project contributors and history of the dataset. If a monthly file is missing, no data are available for this month.<br><strong>Relevance:</strong> Optical disdrometer data are useful for studying the type, dynamics and microphysics of precipitation from the perspective of a fixed observer on the ground. The data can be used to help calibrate weather radars, improve quantitative precipitation estimates, calculate the absorption/attenuation/propagation of electromagnetic signals through the atmosphere, and quantify important physical quantities such as liquid water content, rain amount, intensity and kinetic energy.<br><strong>Note:</strong> "PAR009_Lutjewad" replaces "PAR008_Lutjewad" which was damaged on April 7, 2022 during a storm.
DOI: 10.4121/8fa00e8d-4cc9-469e-a034-da5aab811f5a.v3
title: PAR009 Optical disdrometer data at Lutjewad

description: <strong>Description:</strong> In-situ measurements of raindrop size distributions, fall velocities, drop number concentrations and surface rain rates recorded by an OTT Parsivel2 disdrometer named "PAR009" at a height of 3 meters at the Lutjewad atmospheric measurement station on the northern coast of the Netherlands, approximately 30 km northeast from the city of Groningen. "PAR009_Lutjewad" replaces "PAR008_Lutjewad" which was damaged on April 7, 2022 during a storm. The rural landscape to the south consists mainly of pasture and cropland with patches of forested land with livestock dominated by dairy cows and sheep. Set up directly behind the Wadden Sea dike, the site features a 60 meter tall sampling tower, a 10 meter platform, a laboratory building, and an aerosol laboratory container. The station monitors greenhouse gases and trace gas species, sampling aerosol number, size, and composition at different altitudes. Lutjewad is part of the European research infrastructure ICOS, providing continuous greenhouse gas concentrations. The coastal location means that the site samples relatively clean marine background air in conditions of northerly winds and more polluted air masses during conditions of south-easterly and south-westerly winds.<br><strong>Format:</strong> Each NetCDF file covers a full month of observations. The temporal resolution is 1 minute. Data are provided "as is", without any post-processing. The NetCDF files contain all relevant information about all the variables, attributes and units. The global attributes of the NetCDF files contain important information about the type of sensor, logging software, project contributors and history of the dataset. If a monthly file is missing, no data are available for this month.<br><strong>Relevance:</strong> Optical disdrometer data are useful for studying the type, dynamics and microphysics of precipitation from the perspective of a fixed observer on the ground. The data can be used to help calibrate weather radars, improve quantitative precipitation estimates, calculate the absorption/attenuation/propagation of electromagnetic signals through the atmosphere, and quantify important physical quantities such as liquid water content, rain amount, intensity and kinetic energy.<br><strong>Note:</strong> This dataset is updated approximately every 3 months. Please reach out to the authors if you wish to get access to the most recent data.<br><strong>Known issues:</strong>Due to a sensor malfunction, the internal temperature values between November 2024 and February 2025 cannot be trusted. We hope to be able to fix this issue soon.
DOI: 10.15468/dl.vvzdh2
title: Occurrence Download

description: A dataset containing 319454 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Issue is one of (Continent derived from coordinates, Geodetic datum assumed WGS84, Coordinate rounded, Country derived from coordinates, The taxon concept ID was not used in backbone matching, The taxon ID was not used in backbone matching, The scientific name ID was not used in backbone matching)",
 "TaxonKey is Elanus caeruleus (Desfontaines, 1789)",
 "Year 1990-2020"
 ]
}

 The dataset includes 319454 records from 474 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005486-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cdd423
title: Occurrence Download

description: A dataset containing 124 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chile",
 "Geometry POLYGON((-73.62206 -39.61129,-73.03326 -39.61616,-73.17776 -38.80729,-73.37406 -38.5045,-73.42662 -37.3948,-73.03326 -37.29176,-72.6228 -36.11451,-72.35634 -35.66262,-72.85428 -35.72457,-73.08347 -35.73424,-74.14903 -36.96786,-74.12693 -38.36705,-73.62206 -39.61129))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Onychophora, Calanoides patagoniensis Brady, 1883)"
 ]
}

 The dataset includes 124 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005505-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ebfr8p
title: Occurrence Download

description: A dataset containing 173 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Holoaden Miranda-Ribeiro, 1920"
 ]
}

 The dataset includes 173 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005504-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15089912
title: Training and Testing Datasets for Machine Learning of Shortwave Radiative Transfer

description: Datasets for Machine Learning Shortwave Radiative Transfer

Author - Henry Schneiderman, henry@pittdata.comPlease contact me for any questions or feedback

Input reanalysis data downloaded from ECMWF's Copernicus Atmospheric Monitoring Service. Each atmospheric column contains the following input variables:

mu - Cosine of solar zenith anglealbedo - Surface albedois_valid_zenith_angle - Indicates if daylight is presentVertical profiles (60 layers): Temperature Pressure, Change in Pressure, H2O (vapor, liquid, solid), O3, CO2, O2, N2O, CH4

The ecRad emulator (Hogan and Bozzo, 2018) generated the following output profiles at the layer interfaces for input each atmospheric column:

flux_down_direct, flux_down_diffuse, flux_down_direct_clear_sky, flux_down_diffuse_clear_sky, flux_up_diffuse, flux_up_clear_sky

All data is sampled at 5,120 global locations

The training dataset uses input from 2008 sampled at three-hour intervals within every fourth day

The validation dataset uses input from 2008 sampled at three-hour intervals within every 28th day offset two days from the training set to avoid duplication

Testing datasets use input from 2009, 2015, and 2020. Each of these samples data at three-hour intervals within every 28th day.

For more information see:Henry Schneiderman. "An Open Box Physics-Based Neural Network for Shortwave Radiative Transfer." Submitted to Artificial Intelligence for the Earth Systems.
DOI: 10.5281/zenodo.15089913
title: Training and Testing Datasets for Machine Learning of Shortwave Radiative Transfer

description: Datasets for Machine Learning Shortwave Radiative Transfer

Author - Henry Schneiderman, henry@pittdata.comPlease contact me for any questions or feedback

Input reanalysis data downloaded from ECMWF's Copernicus Atmospheric Monitoring Service. Each atmospheric column contains the following input variables:

mu - Cosine of solar zenith anglealbedo - Surface albedois_valid_zenith_angle - Indicates if daylight is presentVertical profiles (60 layers): Temperature Pressure, Change in Pressure, H2O (vapor, liquid, solid), O3, CO2, O2, N2O, CH4

The ecRad emulator (Hogan and Bozzo, 2018) generated the following output profiles at the layer interfaces for input each atmospheric column:

flux_down_direct, flux_down_diffuse, flux_down_direct_clear_sky, flux_down_diffuse_clear_sky, flux_up_diffuse, flux_up_clear_sky

All data is sampled at 5,120 global locations

The training dataset uses input from 2008 sampled at three-hour intervals within every fourth day

The validation dataset uses input from 2008 sampled at three-hour intervals within every 28th day offset two days from the training set to avoid duplication

Testing datasets use input from 2009, 2015, and 2020. Each of these samples data at three-hour intervals within every 28th day.

For more information see:Henry Schneiderman. "An Open Box Physics-Based Neural Network for Shortwave Radiative Transfer." Submitted to Artificial Intelligence for the Earth Systems.
DOI: 10.15468/dl.5xxnuk
title: Occurrence Download

description: A dataset containing 192 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Euparkerella Griffiths, 1959"
 ]
}

 The dataset includes 192 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005506-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mc9du5
title: Occurrence Download

description: A dataset containing 1068 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Fossil",
 "TaxonKey is Metasequoia Hu & W.C.Cheng"
 ]
}

 The dataset includes 1068 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005507-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w5kt2y
title: Occurrence Download

description: A dataset containing 6780029 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "IucnRedListCategory is one of (CR, EN, VU, NT, LC)",
 "Year 2022-2022"
 ]
}

 The dataset includes 6780029 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005497-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xcnqsh
title: Occurrence Download

description: A dataset containing 4395 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Geometry POLYGON((-73.55274 -36.66524,-73.42315 -37.03126,-72.69893 -37.06777,-72.56933 -36.68358,-73.55274 -36.66524))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Otaria flavescens (Shaw, 1800), Lontra felina (Molina, 1782), Cephalorhynchus eutropia (Gray, 1846), Megaptera novaeangliae (Borowski, 1781), Merluccius gayi (Guichenot, 1848))"
 ]
}

 The dataset includes 4395 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005508-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n5zs5f
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON Z ((-50.019836838998856 -6.477292738369158 -0.000047, -50.01983913890041 -6.4773137581418 -0.0000235, -50.01986519399992 -6.477551890999962 0, -50.01986519446668 -6.477551890977397 -0.0000235, -50.031198779999954 -6.47700397899996 0, -50.03119878018004 -6.477003980450239 -0.0000235, -50.03142295299995 -6.478809314999921 0, -50.02551496499996 -6.47907222099991 0, -50.025514965043556 -6.47907222240508 -0.000047, -50.02553771634853 -6.479472863353676 -0.00001175054744, -50.02553771740858 -6.479472882020702 -0.0000235, -50.02572959599996 -6.482851788999824 0, -50.02573988899991 -6.486476558999868 0, -50.02483768299987 -6.490707722999957 0, -50.02199184699987 -6.49026106599996 0, -50.01803565099982 -6.498494529999959 0, -50.01771816599995 -6.498502089999931 0, -50.01592950599991 -6.498545385999876 0, -50.01568394399993 -6.49855075399995 0, -50.012992615999906 -6.49860855299994 0, -50.01206696199995 -6.498636082999951 0, -50.012066962238684 -6.498636084075562 -0.0000235, -50.01206696182078 -6.498636084087991 -0.000047, -50.01409203784175 -6.507760098008791 -0.0000235, -50.013145957777404 -6.507813314736611 -0.00001175, -50.011583705201026 -6.507901190988607 -0.0000235, -50.01093043678939 -6.506528450045916 -0.0000235, -50.00940495799989 -6.50332289499994 0, -50.001317888999836 -6.504474474999938 0, -49.99770373702875 -6.505651087664989 -0.0000235, -49.99615158229375 -6.499722528127615 -0.0000235, -49.99599965599998 -6.499142234999965 0, -49.992047360771316 -6.499211773968779 -0.0000235, -49.99372849927079 -6.487296303081848 -0.000047, -49.99428487204915 -6.483018164256805 -0.000047, -49.99479198985841 -6.479233735248613 -0.000047, -50.00490792755875 -6.479253749660757 -0.000047, -50.004280972388926 -6.476167930205747 -0.000047, -50.00724048206257 -6.475662755831479 -0.000047, -50.019836838998856 -6.477292738369158 -0.000047))",
 "HasGeospatialIssue is False"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005510-250325103851331/datasets/export for details.
DOI: 10.5281/zenodo.15102084
title: Emergence of distinct exact mobility edges in a quasiperiodic chain
DOI: 10.5281/zenodo.15102085
title: Emergence of distinct exact mobility edges in a quasiperiodic chain
DOI: 10.5281/zenodo.15102154
title: Non exhaustive list of Open Communities promoting or impacted by open science practices - July 2022
DOI: 10.5281/zenodo.15102155
title: Non exhaustive list of Open Communities promoting or impacted by open science practices - July 2022
DOI: 10.4121/fcfdd1db-b653-4647-9533-11d9231d3e7d
title: Data underlying the PhD thesis: A Principle-based Framework for Audit Analytics Implementation

description: This research aims to develop a principle-based framework for audit analytics implementation, which addresses the challenges of AA implementation and acknowledges its socio-technical complexities and interdependencies among challenges. This research relies on mixed methods to capture the phenomena from the research’s participants through various approaches, i.e., MICMAC-ISM, case study, and interview with practitioners, with literature exploration as the starting point. The raw data collected consists of multimedia data (audio and video recordings of interviews and focused group discussion), which is then transformed into a text file (transcript), complemented with a softcopy of the documents from the case study object.<br>The published data in this dataset, consists of the summarized or analyzed data, as the raw data (including transcript) is not allowed to be published according to the decision by the Human Research Ethics Committee pertinent to this research (Approval #1979, 14 February 2022). This dataset's published data are text files representing the summarized/analyzed raw data as an online appendices to the thesis.
DOI: 10.4121/fcfdd1db-b653-4647-9533-11d9231d3e7d.v1
title: Data underlying the PhD thesis: A Principle-based Framework for Audit Analytics Implementation

description: This research aims to develop a principle-based framework for audit analytics implementation, which addresses the challenges of AA implementation and acknowledges its socio-technical complexities and interdependencies among challenges. This research relies on mixed methods to capture the phenomena from the research’s participants through various approaches, i.e., MICMAC-ISM, case study, and interview with practitioners, with literature exploration as the starting point. The raw data collected consists of multimedia data (audio and video recordings of interviews and focused group discussion), which is then transformed into a text file (transcript), complemented with a softcopy of the documents from the case study object.<br>The published data in this dataset, consists of the summarized or analyzed data, as the raw data (including transcript) is not allowed to be published according to the decision by the Human Research Ethics Committee pertinent to this research (Approval #1979, 14 February 2022). This dataset's published data are text files representing the summarized/analyzed raw data as an online appendices to the thesis.
DOI: 10.15468/dl.dwpp9w
title: Occurrence Download

description: A dataset containing 2029 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation)",
 "Continent is Africa",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Equus quagga Boddaert, 1785",
 "Year 1981-2010"
 ]
}

 The dataset includes 2029 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005514-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.79smd7
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((5.6391 51.91979,6.22534 51.91979,6.22534 52.18473,5.6391 52.18473,5.6391 51.91979))",
 "HasGeospatialIssue is false",
 "TaxonKey is Canis lupus Linnaeus, 1758",
 "Year 2025-2025"
 ]
}

 The dataset includes 14 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005513-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4ec7qe
title: Occurrence Download

description: A dataset containing 15304 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "TaxonKey is Yucca brevifolia Engelm."
 ]
}

 The dataset includes 15304 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005512-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6dqns7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON Z ((-50.138296588597804 -6.471883167688365 -0.0000235, -50.13946398399986 -6.471952931999965 0, -50.140058492688624 -6.471659280987263 -0.0000235, -50.1408545076294 -6.471266098951276 -0.000047, -50.14263238940568 -6.470387966112 -0.0000235, -50.142681521349196 -6.470522622747824 -0.0000235, -50.142694772345806 -6.470558940442686 -0.000047, -50.14271047972982 -6.47060196699515 -0.000011750181316, -50.14271047997221 -6.470601967659114 -0.0000235, -50.14275715499991 -6.470729823999932 0, -50.141485014999944 -6.471358247999888 0, -50.13953815499997 -6.472319852999874 0, -50.13314527499983 -6.471937796999896 0, -50.12313323099994 -6.471339232999924 0, -50.122905810147934 -6.470963184898268 -0.0000235, -50.13332636731798 -6.471586144285084 -0.000047, -50.138296588597804 -6.471883167688365 -0.0000235))",
 "HasGeospatialIssue is False"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005516-250325103851331/datasets/export for details.
DOI: 10.5281/zenodo.15102161
title: 4DHydro_Results_Tetis_Po_0p0667deg_daily_exp41_20070101_20221231

description: Modeling results with TETIS software, for Po River with a spatial resolution of 0.0667 degrees, and temporal resolution daily. Experiment 41. Forcing "mergedera5gpmsm2a". Calibrating methodology MOSCEM, calibrated variable SM+Q

Includes results for the following variables:



Discharge flux in m-3 s-1

Volumetric soil moisture content in percentage

Total water storage content in kg m-2

Total evapotranspiration flux in kg m-2 s-1

Snow water equivalent in kg m-2