cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.11238533
title: CEDAR-GPP: A Spatiotemporally Upscaled Dataset of Gross Primary Productivity Incorporating CO2 Fertilization

description: Overview:----------CEDAR-GPP is a global Gross Primary Productivity (GPP) data product, including monthly GPP estimates at 0.05º spatial resolution. These datasets were generated via upscaling eddy covariance measurements with machine learning and satellite data. CEDAR-GPP uniquely incorporated the direct CO2 fertilization effect (CFE) using both data-driven and theoretical approaches. GPP estimates were produced from ten different model setups that vary by temporal span, direct CFE incorporation method, and GPP partitioning approaches. CEDAR stands for upsCaling Ecosystem Dynamics with ARtificial intelligence.

CEDAR-GPP consists of GPP estimates from ten model setups, differing by temporal range, methods for quantifying CO2 fertilization effects, and the partitioning methods used to derive GPP from eddy covariance measurements. Users are encouraged to refer to the user manual for a structured approach to selecting the most appropriate dataset.

 

Authors:----------Yanghui Kang, Maoya Bassiouni, Max Gaber, Xinchen Lu, Trevor Keenan

 

File Structure:----------Each zip file contains GPP data from a CEDAR model setup.

 

File Naming Convention:----------All netCDF files follow this naming convention:CEDAR-GPP_<version>_<model-setup>_<YYYYMM>.nc

Where:<model-setup> comprises of <temporal_span>_<CFE_option>_<GPP_partitioning><temporal_span>: ST denotes short-term (2001 to 2020); LT denotes long-term (1982 to 2020)<CFE_option>: 'Baseline' indicates no direct CO2 fertilization effect, 'CFE-ML' represents direct CO2 fertilization incorporated by ML, 'CFE-Hybrid' implies direct CO2 fertilization incorporated by theory<GPP_partitioning>: 'NT' for night-time GPP partitioning method, 'DT' for day-time GPP partitioning method

NetCDF characteristics:----------- Spatial Resolution: 0.05 degree- Temporal Resolution: Monthly- Temporal Coverage: Short-term (ST): 2001-2020; Long-term (LT): 1982 - 2020- Image Dimension: Rows: 3600, Columns: 7200- Units: gCm^-2day^-1- Fill Value: -9999- Multiply By Scale Factor: 0.01- Data Type: uint16- File Size: Approximately 99 MB per file

Data variables:----------- GPP_mean: monthly gross primary productivity (gCm^-2day^-1), mean from 30 model ensemble- GPP_std: standard deviation of 30 model ensemble

Support Contact:----------For any queries related to this dataset, please contact:

Name: Yanghui KangEmail: kangyanghui@gmail.com
DOI: 10.5281/zenodo.8212706
title: CEDAR-GPP: A Spatiotemporally Upscaled Dataset of Gross Primary Productivity Incorporating CO2 Fertilization

description: Overview:----------CEDAR-GPP is a global Gross Primary Productivity (GPP) data product, including monthly GPP estimates at 0.05º spatial resolution. These datasets were generated via upscaling eddy covariance measurements with machine learning and satellite data. CEDAR-GPP uniquely incorporated the direct CO2 fertilization effect (CFE) using both data-driven and theoretical approaches. GPP estimates were produced from ten different model setups that vary by temporal span, direct CFE incorporation method, and GPP partitioning approaches. CEDAR stands for upsCaling Ecosystem Dynamics with ARtificial intelligence.

CEDAR-GPP consists of GPP estimates from ten model setups, differing by temporal range, methods for quantifying CO2 fertilization effects, and the partitioning methods used to derive GPP from eddy covariance measurements. Users are encouraged to refer to the user manual for a structured approach to selecting the most appropriate dataset.

 

Authors:----------Yanghui Kang, Maoya Bassiouni, Max Gaber, Xinchen Lu, Trevor Keenan

 

File Structure:----------Each zip file contains GPP data from a CEDAR model setup.

 

File Naming Convention:----------All netCDF files follow this naming convention:CEDAR-GPP_<version>_<model-setup>_<YYYYMM>.nc

Where:<model-setup> comprises of <temporal_span>_<CFE_option>_<GPP_partitioning><temporal_span>: ST denotes short-term (2001 to 2020); LT denotes long-term (1982 to 2020)<CFE_option>: 'Baseline' indicates no direct CO2 fertilization effect, 'CFE-ML' represents direct CO2 fertilization incorporated by ML, 'CFE-Hybrid' implies direct CO2 fertilization incorporated by theory<GPP_partitioning>: 'NT' for night-time GPP partitioning method, 'DT' for day-time GPP partitioning method

NetCDF characteristics:----------- Spatial Resolution: 0.05 degree- Temporal Resolution: Monthly- Temporal Coverage: Short-term (ST): 2001-2020; Long-term (LT): 1982 - 2020- Image Dimension: Rows: 3600, Columns: 7200- Units: gCm^-2day^-1- Fill Value: -9999- Multiply By Scale Factor: 0.01- Data Type: uint16- File Size: Approximately 99 MB per file

Data variables:----------- GPP_mean: monthly gross primary productivity (gCm^-2day^-1), mean from 30 model ensemble- GPP_std: standard deviation of 30 model ensemble

Support Contact:----------For any queries related to this dataset, please contact:

Name: Yanghui KangEmail: kangyanghui@gmail.com
DOI: 10.17026/ar/gkvokj
title: PAN-00155295 - fan-shaped strap clamp with T-shape (book mount)

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00155295&lt;/p&gt;
description: Modified: 2024-10-25T20:16:52+02:00
DOI: 10.17026/ar/gkw0p9
title: PAN-00144489 - brooch Almgren 16

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00144489&lt;/p&gt;
description: Modified: 2024-10-25T18:26:21+02:00
DOI: 10.17026/ar/gkx086
title: PAN-00158009 - multipartite belt fastening with plate B

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00158009&lt;/p&gt;
description: Modified: 2024-10-25T20:47:50+02:00
DOI: 10.17026/ar/gkyrg6
title: Voorstraat 37 Vianen
title: Bouwhistorische verkenning & waardestelling

description: Bouwhistorische verkenning van het winkel/woonhuis aan de Voorstraat 37 in Vianen. Het object bezit een oude kern, die wellicht teruggaat tot in de middeleeuwen en voorheen Het Wapen van Amsterdam werd genoemd. Het huidige pand is deels door latere verbouwingen in de loop van de 19de en 20ste eeuw tot stand gekomen.
DOI: 10.17026/ar/gl0aum
title: Nieuwbouw Verkeerstorenplein in Nootdorp, gemeente Pijnacker-Nootdorp
title: Een archeologisch bureauonderzoek

description: betreft een gebouw met een liftschacht met een totale oppervlakte van circa 612m2. De fundering van het gebouw zal op 0,9 m –mv komen te liggen en de liftschacht op 1,6 m –mv. Archeologie Delft heeft van de gemeente Pijnacker-Nootdorp de opdracht gekregen om een archeologisch bureauonderzoek uit te voeren om inzicht te krijgen in de mogelijk aanwezige archeologische waarden in het plangebied.
Op basis van de geologische ondergrond in het plangebied en voorgaand archeologisch onderzoek uit de directe omgeving geldt er een middelhoge verwachting voor het aantreffen van vindplaatsen uit het Neolithicum. Eventuele Neolithische resten kunnen bestaan uit huisplattegronden, graven, haardkuilen, afvalkuilen, sporen van landgebruik (tijdelijke jachtkampen, visserij, landbouw) en vondsten zoals vuursteen, bot en aardewerk.
Er geldt geen archeologische verwachting voor het aantreffen van vindplaatsen uit IJzertijd, Romeinse tijd, de Vroege en Late Middeleeuwen en Nieuwe tijd. Deze zijn verdwenen als gevolg van het afgraven van het veengebied.
Om de archeologische verwachting te toetsen, wordt geadviseerd een verkennend booronderzoek uit te voeren.
DOI: 10.17026/ar/gl1gqf
title: PAN-00157064 - small terra sigillata bowl with footring and tapering wall

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00157064&lt;/p&gt;
description: Modified: 2024-10-25T20:38:16+02:00
DOI: 10.15468/dl.xcaswr
title: Occurrence Download

description: A dataset containing 124218 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is one of (Canada, Mexico, United States of America)",
 "EventDate is greater than or equal to 2025-09-12",
 "EventDate is less than or equal to 2025-10-12",
 {
 "not" : {
 "Issue" : [
 "is one of (Basis of record invalid, Coordinate reprojection failed, Coordinate reprojection suspicious, Coordinate precision invalid, Coordinate uncertainty meters invalid, Country mismatch, Country invalid, Geodetic datum invalid, Presumed swapped coordinate, Presumed negated longitude, Presumed negated latitude, Country coordinate mismatch)"
 ]
 }
 },
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 124218 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059305-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s8un45
title: Occurrence Download

description: A dataset containing 555 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Citharichthys cornutus (Günther, 1880)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 555 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022461-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e9g7w8
title: Occurrence Download

description: A dataset containing 8720114 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cypriniformes",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation)"
 ]
}

 The dataset includes 8720114 records from 1257 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022446-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tf45x8
title: Occurrence Download

description: A dataset containing 297 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Vespa soror Buysson, 1905)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 297 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022462-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hnxcj6
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tringa alpina Linnaeus, 1758",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022463-241126133413365/datasets/export for details.
DOI: 10.15468/dl.45htw8
title: Occurrence Download

description: A dataset containing 7064657 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Global soil organisms"
 ]
}

 The dataset includes 7064657 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022451-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48597/aagp-ukgc
title: Measurement of Nitrogen oxides at TMNT09 Vielsalm

description: Measurement of Nitrogen oxides at TMNT09 Vielsalm
DOI: 10.48597/b5we-6mta
title: Measurement of Nitrogen oxides at TMNT09 Vielsalm

description: Measurement of Nitrogen oxides at TMNT09 Vielsalm
DOI: 10.48597/wpqy-aqxh
title: Nitrogen oxides at TMNT09 Vielsalm

description: Measurement of Nitrogen oxides at TMNT09 Vielsalm
DOI: 10.48597/xchj-ye55
title: Measurement of Nitrogen oxides at TMNT09 Vielsalm

description: Measurement of Nitrogen oxides at TMNT09 Vielsalm
DOI: 10.15468/dl.n9gp89
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-5.49858 42.47039,-5.60613 42.46305,-5.68579 42.36306,-5.7993 41.97338,-5.73159 41.89338,-5.57426 41.95413,-5.51053 42.02074,-5.46274 42.34246,-5.49858 42.47039))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Testudines"
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022464-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zqv4zh
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Etelis coruscans Valenciennes, 1862",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 33 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022465-241126133413365/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.27979907
title: Structural dataset from the Lherz detachment (Gouffre Georges, Ariège, France)

description: This dataset contains a Stereonet file (.stnt) with structural data from the Lherz detachment (Gouffre Georges, Ariège, France). Structural data include strike, dip and kinematics of faults, S-C structures, bedding and veins.
DOI: 10.6084/m9.figshare.27979907.v1
title: Structural dataset from the Lherz detachment (Gouffre Georges, Ariège, France)

description: This dataset contains a Stereonet file (.stnt) with structural data from the Lherz detachment (Gouffre Georges, Ariège, France). Structural data include strike, dip and kinematics of faults, S-C structures, bedding and veins.
DOI: 10.15468/dl.nyjee8
title: Occurrence Download

description: A dataset containing 148041 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cypriniformes",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "Continent is Asia",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation)"
 ]
}

 The dataset includes 148041 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022454-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uetada
title: Occurrence Download

description: A dataset containing 8190904 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cypriniformes",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "Continent is Europe",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation)"
 ]
}

 The dataset includes 8190904 records from 1113 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022453-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1091063.10fu
title: SH1091063.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1091065.10fu
title: SH1091065.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1091066.10fu
title: SH1091066.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1091067.10fu
title: SH1091067.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1091068.10fu
title: SH1091068.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1091070.10fu
title: SH1091070.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1091072.10fu
title: SH1091072.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.