cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4121/0d1f7130-6e0e-48cd-b384-348edcd890da
title: PAR002 Optical disdrometer data at Cabauw

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 "PAR002" at the remote sensing site in Cabauw. Note that "PAR002" is co-located with another identical disdrometer called "PAR001". This co-location can be used to cross-check data, perform quality control and/or assess measurement uncertainty due to sensor calibration, random sampling effects and environmental effects such as wind speed/direction which are known to substantially affect the accuracy of optical disdrometers.<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>Notes:</strong> This dataset is updated approximately every 3 months. Please reach out to the authors for access to the most recent data.<br><strong>Known issues:</strong>In 2021, connectivity issues resulted in the loss of data from June 2-21, July 14 to August 11, and September 21 to October 5.In 2022, the data from August 6-13 are missing.In 2023, the data from June 16-20 are missing.Between November 8 and December 22, 2023, no data are available due to a major upgrade in the data logging system.In 2024, the data from February 5-11 are missing.
DOI: 10.4121/0d1f7130-6e0e-48cd-b384-348edcd890da.v1
title: PAR002 Optical disdrometer data at Cabauw

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 "PAR002" at the remote sensing site in Cabauw. Note that "PAR002" is co-located with another identical disdrometer called "PAR001". This co-location can be used to cross-check data, perform quality control and/or assess measurement uncertainty due to sensor calibration, random sampling effects and environmental effects such as wind speed/direction which are known to substantially affect the accuracy of optical disdrometers.<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.
DOI: 10.4121/0d1f7130-6e0e-48cd-b384-348edcd890da.v2
title: PAR002 Optical disdrometer data at Cabauw

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 "PAR002" at the remote sensing site in Cabauw. Note that "PAR002" is co-located with another identical disdrometer called "PAR001". This co-location can be used to cross-check data, perform quality control and/or assess measurement uncertainty due to sensor calibration, random sampling effects and environmental effects such as wind speed/direction which are known to substantially affect the accuracy of optical disdrometers.<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.
DOI: 10.4121/0d1f7130-6e0e-48cd-b384-348edcd890da.v3
title: PAR002 Optical disdrometer data at Cabauw

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 "PAR002" at the remote sensing site in Cabauw. Note that "PAR002" is co-located with another identical disdrometer called "PAR001". This co-location can be used to cross-check data, perform quality control and/or assess measurement uncertainty due to sensor calibration, random sampling effects and environmental effects such as wind speed/direction which are known to substantially affect the accuracy of optical disdrometers.<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>Notes:</strong> This dataset is updated approximately every 3 months. Please reach out to the authors for access to the most recent data.<br><strong>Known issues:</strong>In 2021, connectivity issues resulted in the loss of data from June 2-21, July 14 to August 11, and September 21 to October 5.In 2022, the data from August 6-13 are missing.In 2023, the data from June 16-20 are missing.Between November 8 and December 22, 2023, no data are available due to a major upgrade in the data logging system.In 2024, the data from February 5-11 are missing.
DOI: 10.15468/dl.a92d7d
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Prunus gentryi Standl.)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017549-250127130748423/datasets/export for details.
DOI: 10.6084/m9.figshare.28357343
title: General information on the sequence data acquired from monoculture and soybean-precedent carrot rhizosphere, and a distant bulk soil

description: The metagenome dataset from monoculture carrot rhizosphere, soybean-precedent carrot rhizosphere, and distant bulk soil from uncultivated land contain 10.35, 10.41, and 11.32 Gbp sequences with an average Guanine-Cytosine content of 65.6 %; 65.8 %; and 66.2 % respectively after quality control. The sequence reads had average quality scores of 93.86 %, 93.51 %, and 93.70 % at a 0.1 % error rate.
DOI: 10.15468/dl.cydamm
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Prunus guatemalensis I.M.Johnst.)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017550-250127130748423/datasets/export for details.
DOI: 10.6084/m9.figshare.28357814
title: Naveenkumar Asia pacific journal of tourism research.xlsx

description: This research project focuses on How Virtual reality can enhance Tourism destination.
DOI: 10.15468/dl.65xdvy
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Prunus lundelliana Standl.)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017551-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dfvzzf
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Prunus matudae Lundell)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017552-250127130748423/datasets/export for details.
DOI: 10.15468/dl.9q4dm8
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Prunus occidentalis Sw.)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 14 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017554-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.96peu8
title: Occurrence Download

description: A dataset containing 72011 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Iraq",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 72011 records from 246 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017553-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pmyp3m
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Prunus ochoterenae D.Ramírez)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017555-250127130748423/datasets/export for details.
DOI: 10.15468/dl.enq9ve
title: Occurrence Download

description: A dataset containing 76 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Prunus rhamnoides Koehne)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 76 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017556-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4kj9nh
title: Occurrence Download

description: A dataset containing 201 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is one of (China, Chinese Taipei)",
 "TaxonKey is Bostrichidae"
 ]
}

 The dataset includes 201 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017557-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yzwnbj
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Prunus salasii Standl.)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017558-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e5w7tm
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Prunus samydoides Schltdl.)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017559-250127130748423/datasets/export for details.
DOI: 10.5281/zenodo.10775106
title: DEM of Maale Itro North (MYN) site, Israel

description: The DEM in this folder is a high-resolution DEM (~0.01 m px-1), generated using a structure from motion (SfM) algorithm over drone-acquired aerial photos (80% overlap).
DOI: 10.5281/zenodo.10775107
title: DEM of Maale Itro North (MYN) site, Israel

description: The DEM in this folder is a high-resolution DEM (~0.01 m px-1), generated using a structure from motion (SfM) algorithm over drone-acquired aerial photos (80% overlap).
DOI: 10.15468/dl.8ugh3x
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Prunus tartarea Lundell)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017560-250127130748423/datasets/export for details.
DOI: 10.21227/cbmf-4w94
title: DGA Ground Truth Datasets 

description: The integration of artificial intelligence (AI) techniques in fault diagnosis of oil-filled transformers offers a promising approach to enhance the reliability and efficiency of power distribution networks. This paper presents a methodology for developing machine learning (ML) models using a no-code approach in Azure Machine Learning to diagnose transformer faults based on dissolved gas analysis (DGA). By leveraging multiclass classification algorithms, the study aims to accurately identify fault types such as partial discharges, thermal faults, low and high-energy discharges. The proposed method addresses challenges associated with conventional DGA interpretation methods, including incomplete ratio ranges and the absence of a fault-free area. The research includes a comprehensive evaluation of model performance through various preprocessing techniques, cross-validation and field trials, demonstrating the model's robustness and practical applicability.
DOI: 10.15468/dl.ytmxst
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Prunus tetradenia Koehne)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 16 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017562-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c6erga
title: Occurrence Download

description: A dataset containing 887 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-22.62220 -10.93503,44.62220 -10.93503,44.62220 15.93503,-22.62220 15.93503,-22.62220 -10.93503))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Holoptelea grandis (Hutch.) Mildbr."
 ]
}

 The dataset includes 887 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017563-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mdcrb2
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Prunus tuberculata Koehne)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017564-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v4h3q4
title: Occurrence Download

description: A dataset containing 837 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((63.90464 7.97358,120.21263 7.97358,120.21263 30.47358,63.90464 30.47358,63.90464 7.97358))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Holoptelea integrifolia (Roxb.) Planch."
 ]
}

 The dataset includes 837 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017565-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.za8869
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Prunus zingii Standl.)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 6 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017566-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25413/sun.24161007
title: Scaffolds constructed for Argyrosomus japonicus and the annotation data

description: The genome of a South African conspecific of <i>Argyrosomus japonicus</i> (dusky kob) was assembled and annotated using Illumina data from both Mate-Pair and Paired-end sequencing. Ion Torrent data was utilized for tasks such as gap closure, scaffolding, and error correction. The assembly of the draft genome employed the MaSuRCA software, while annotation was performed with Braker2 using a combination of homology-based and de novo approaches.
DOI: 10.15468/dl.ah9vjv
title: Occurrence Download

description: A dataset containing 3468 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bombus sporadicus Nylander, 1848"
 ]
}

 The dataset includes 3468 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017567-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dmhjrw
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Vauquelinia australis Standl.)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017568-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t5c32s
title: Occurrence Download

description: A dataset containing 94 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Alibertia edulis (Rich.) A.Rich. ex DC.)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 94 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017569-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.agya52
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Alseis hondurensis Standl.)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017570-250127130748423/datasets/export for details.
DOI: 10.6084/m9.figshare.28349525
title: 10X Genomics file or Matrix Market format

description: 10X Genomics file or Matrix Market format for slar