cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5676/dwd_gpcc/monthly_v2025_025
title: GPCC Precipitation Analysis Monthly Version 2025 (at 0.25°, 0.5°, 1.0°, 2.5°)

description: The GPCC Precipitation Analysis Monthly (GPCC Monthly) provides gridded monthly precipitation totals for the Earth’s land surface. These are calculated from the data provided by the national hydrological and/or meteorological services (NHMS) from more than 190 countries, global and regional data collections, research projects and data distributed in near-real time between the NHMSs.
Monthly precipitation totals are provided on a regular grid with spatial resolutions of 0.25°, 0.5°, 1° and 2.5°. To generate the grids, monthly anomalies were interpolated and superimposed to the gridded long-term means from the GPCC Climatology (LINK).
Grids cover the period from 1891 until present, while the data set is continuously extended by the latest month with a latency of two months. It merges the former Full Data Monthly (LINK) with the Monitoring Product (LINK). This near-real time extension uses quality-controlled SYNOP and CLIMAT data, as it was done in the Monitoring Product. Additionally, data retrieved from NHMSs’ APIs and open data portals are used.
In addition to monthly precipitation totals, also the fraction of liquid and solid precipitation as well as a weather depended under-catch correction factor are provided for all months since 1982. As information on the reliability of the gridded data, the number of stations per grid cell, the number of stations used to calculate the grid cell value and the mean distance of those stations are provided. Furthermore, the standard deviation according to Yamamoto is also available.
A note on the use of time periods with low station density, which is the case especially in the very early years. The low station density results in an effective grid resolution, that is very coarse and where precipitation is often extended into ungauged desert regions. You could handle this by applying an additional field with climatological infilling to replace the interpolated grid cell value for those grid cells, where in the vicinity of 5° was no gauge (use the variable precip_infill). 
It is foreseen to update the GPCC Precipitation Analysis Monthly with a cycle of three to four years. The updated version will include non-real time data from the NHMS, that was provided in the meantime.
DOI: 10.5281/zenodo.17972249
title: The Conservation Outcome of Indo-Pacific Humpback Dolphin in China: A Habitat Suitability-based Assessment

description: This repository is intended to support the reproducibility and methodological verification of the studyThe Conservation Outcome of Indo-Pacific Humpback Dolphin in China: A Habitat Suitability-based Assessment.

The data and code provided document the data processing workflows, model implementation, and model evaluation procedures used in the study, with the aim of enhancing transparency and reproducibility.

The data are provided for academic research and teaching purposes only and may not be used for commercial purposes, redistribution, or re-publication. The dataset consists of grid-based data and processed model inputs and outputs corresponding to the spatial resolution of the environmental predictors, and does not include raw point-level occurrence coordinates.

Any use of this dataset or its derived products must explicitly cite the above article, and citation of the Zenodo dataset DOI is strongly recommended. For uses beyond result reproduction or methodological validation, prior permission from the author is required.
DOI: 10.5281/zenodo.17972250
title: The Conservation Outcome of Indo-Pacific Humpback Dolphin in China: A Habitat Suitability-based Assessment

description: This repository is intended to support the reproducibility and methodological verification of the studyThe Conservation Outcome of Indo-Pacific Humpback Dolphin in China: A Habitat Suitability-based Assessment.

The data and code provided document the data processing workflows, model implementation, and model evaluation procedures used in the study, with the aim of enhancing transparency and reproducibility.

The data are provided for academic research and teaching purposes only and may not be used for commercial purposes, redistribution, or re-publication. The dataset consists of grid-based data and processed model inputs and outputs corresponding to the spatial resolution of the environmental predictors, and does not include raw point-level occurrence coordinates.

Any use of this dataset or its derived products must explicitly cite the above article, and citation of the Zenodo dataset DOI is strongly recommended. For uses beyond result reproduction or methodological validation, prior permission from the author is required.
DOI: 10.5676/dwd_gpcc/monthly_v2025_050
title: GPCC Precipitation Analysis Monthly Version 2025 (at 0.25°, 0.5°, 1.0°, 2.5°)

description: The GPCC Precipitation Analysis Monthly (GPCC Monthly) provides gridded monthly precipitation totals for the Earth’s land surface. These are calculated from the data provided by the national hydrological and/or meteorological services (NHMS) from more than 190 countries, global and regional data collections, research projects and data distributed in near-real time between the NHMSs.
Monthly precipitation totals are provided on a regular grid with spatial resolutions of 0.25°, 0.5°, 1° and 2.5°. To generate the grids, monthly anomalies were interpolated and superimposed to the gridded long-term means from the GPCC Climatology (LINK).
Grids cover the period from 1891 until present, while the data set is continuously extended by the latest month with a latency of two months. It merges the former Full Data Monthly (LINK) with the Monitoring Product (LINK). This near-real time extension uses quality-controlled SYNOP and CLIMAT data, as it was done in the Monitoring Product. Additionally, data retrieved from NHMSs’ APIs and open data portals are used.
In addition to monthly precipitation totals, also the fraction of liquid and solid precipitation as well as a weather depended under-catch correction factor are provided for all months since 1982. As information on the reliability of the gridded data, the number of stations per grid cell, the number of stations used to calculate the grid cell value and the mean distance of those stations are provided. Furthermore, the standard deviation according to Yamamoto is also available.
A note on the use of time periods with low station density, which is the case especially in the very early years. The low station density results in an effective grid resolution, that is very coarse and where precipitation is often extended into ungauged desert regions. You could handle this by applying an additional field with climatological infilling to replace the interpolated grid cell value for those grid cells, where in the vicinity of 5° was no gauge (use the variable precip_infill). 
It is foreseen to update the GPCC Precipitation Analysis Monthly with a cycle of three to four years. The updated version will include non-real time data from the NHMS, that was provided in the meantime.
DOI: 10.15468/dl.t2f2vm
title: Occurrence Download

description: A dataset containing 75804 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Russian Federation",
 "GadmGid is RUS.30_1",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 75804 records from 120 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060378-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q6g8fk
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_0_GID","value":"ARG","matchCase":false},{"type":"equals","key":"GADM_LEVEL_1_GID","value":"ARG.3_1","matchCase":false},{"type":"equals","key":"GADM_LEVEL_2_GID","value":"ARG.3.8_1","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060395-251120083545085/datasets/export for details.
DOI: 10.15468/dl.2tr9ns
title: Occurrence Download

description: A dataset containing 910 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hakea laurina",
 "HasCoordinate is true"
 ]
}

 The dataset includes 910 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060396-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5676/dwd_gpcc/monthly_v2025_100
title: GPCC Precipitation Analysis Monthly Version 2025 (at 0.25°, 0.5°, 1.0°, 2.5°)

description: The GPCC Precipitation Analysis Monthly (GPCC Monthly) provides gridded monthly precipitation totals for the Earth’s land surface. These are calculated from the data provided by the national hydrological and/or meteorological services (NHMS) from more than 190 countries, global and regional data collections, research projects and data distributed in near-real time between the NHMSs.
Monthly precipitation totals are provided on a regular grid with spatial resolutions of 0.25°, 0.5°, 1° and 2.5°. To generate the grids, monthly anomalies were interpolated and superimposed to the gridded long-term means from the GPCC Climatology (LINK).
Grids cover the period from 1891 until present, while the data set is continuously extended by the latest month with a latency of two months. It merges the former Full Data Monthly (LINK) with the Monitoring Product (LINK). This near-real time extension uses quality-controlled SYNOP and CLIMAT data, as it was done in the Monitoring Product. Additionally, data retrieved from NHMSs’ APIs and open data portals are used.
In addition to monthly precipitation totals, also the fraction of liquid and solid precipitation as well as a weather depended under-catch correction factor are provided for all months since 1982. As information on the reliability of the gridded data, the number of stations per grid cell, the number of stations used to calculate the grid cell value and the mean distance of those stations are provided. Furthermore, the standard deviation according to Yamamoto is also available.
A note on the use of time periods with low station density, which is the case especially in the very early years. The low station density results in an effective grid resolution, that is very coarse and where precipitation is often extended into ungauged desert regions. You could handle this by applying an additional field with climatological infilling to replace the interpolated grid cell value for those grid cells, where in the vicinity of 5° was no gauge (use the variable precip_infill). 
It is foreseen to update the GPCC Precipitation Analysis Monthly with a cycle of three to four years. The updated version will include non-real time data from the NHMS, that was provided in the meantime.
DOI: 10.15468/dl.28wz3k
title: Occurrence Download

description: A dataset containing 403 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Pristimantis riveti"
 ]
}

 The dataset includes 403 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060398-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5676/dwd_gpcc/monthly_v2025_250
title: GPCC Precipitation Analysis Monthly Version 2025 (at 0.25°, 0.5°, 1.0°, 2.5°)

description: The GPCC Precipitation Analysis Monthly (GPCC Monthly) provides gridded monthly precipitation totals for the Earth’s land surface. These are calculated from the data provided by the national hydrological and/or meteorological services (NHMS) from more than 190 countries, global and regional data collections, research projects and data distributed in near-real time between the NHMSs.
Monthly precipitation totals are provided on a regular grid with spatial resolutions of 0.25°, 0.5°, 1° and 2.5°. To generate the grids, monthly anomalies were interpolated and superimposed to the gridded long-term means from the GPCC Climatology (LINK).
Grids cover the period from 1891 until present, while the data set is continuously extended by the latest month with a latency of two months. It merges the former Full Data Monthly (LINK) with the Monitoring Product (LINK). This near-real time extension uses quality-controlled SYNOP and CLIMAT data, as it was done in the Monitoring Product. Additionally, data retrieved from NHMSs’ APIs and open data portals are used.
In addition to monthly precipitation totals, also the fraction of liquid and solid precipitation as well as a weather depended under-catch correction factor are provided for all months since 1982. As information on the reliability of the gridded data, the number of stations per grid cell, the number of stations used to calculate the grid cell value and the mean distance of those stations are provided. Furthermore, the standard deviation according to Yamamoto is also available.
A note on the use of time periods with low station density, which is the case especially in the very early years. The low station density results in an effective grid resolution, that is very coarse and where precipitation is often extended into ungauged desert regions. You could handle this by applying an additional field with climatological infilling to replace the interpolated grid cell value for those grid cells, where in the vicinity of 5° was no gauge (use the variable precip_infill). 
It is foreseen to update the GPCC Precipitation Analysis Monthly with a cycle of three to four years. The updated version will include non-real time data from the NHMS, that was provided in the meantime.
DOI: 10.5281/zenodo.17987586
title: The Effect of AI-Based Product Recommendations, Promotion Personalization, and Live Commerce Quality on Purchase Decisions in TikTok Shop by Tokopedia with Platform Trust as a Mediator and Perceived Value as a Moderator
DOI: 10.5281/zenodo.17987587
title: The Effect of AI-Based Product Recommendations, Promotion Personalization, and Live Commerce Quality on Purchase Decisions in TikTok Shop by Tokopedia with Platform Trust as a Mediator and Perceived Value as a Moderator
DOI: 10.15468/dl.r5hmjg
title: Occurrence Download

description: A dataset containing 363 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_0_GID","value":"ARG","matchCase":false},{"type":"equals","key":"GADM_LEVEL_1_GID","value":"ARG.3_1","matchCase":false},{"type":"equals","key":"GADM_LEVEL_2_GID","value":"ARG.3.9_1","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 363 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060400-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uwwkpk
title: Occurrence Download

description: A dataset containing 1874 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hakea lissocarpha",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1874 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060401-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kzsrvz
title: Occurrence Download

description: A dataset containing 28062 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Tracheophyta)",
 "Geometry POLYGON ((12.93178 47.5518, 12.96678 47.5518, 12.96678 47.5868, 12.93178 47.5868, 12.93178 47.5518))"
 ]
}

 The dataset includes 28062 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060403-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jdeudm
title: Occurrence Download

description: A dataset containing 49458 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tracheophyta",
 "DecimalLatitude is greater than or equal to 15.0",
 "DecimalLatitude is less than or equal to 20.0",
 "DecimalLongitude is greater than or equal to -80.0",
 "DecimalLongitude is less than or equal to -75.0",
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE"
 ]
}

 The dataset includes 49458 records from 155 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060402-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2wzvkf
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_0_GID","value":"ARG","matchCase":false},{"type":"equals","key":"GADM_LEVEL_1_GID","value":"ARG.3_1","matchCase":false},{"type":"equals","key":"GADM_LEVEL_2_GID","value":"ARG.3.10_1","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060404-251120083545085/datasets/export for details.
DOI: 10.15468/dl.6dx6b5
title: Occurrence Download

description: A dataset containing 273 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hakea nitida",
 "HasCoordinate is true"
 ]
}

 The dataset includes 273 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060406-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/rumyqs
title: PAN-00178317 - terra sigillata kom type Drag. 37 (EG)

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00178317&lt;/p&gt;
description: Modified: 2025-11-17T12:28:37+01:00
DOI: 10.21227/znqg-nc93
title: "e2AFH"

description: "Two testbeds for e2AFH comparison with No AFH, PDR-Exclusion and eAFH."
DOI: 10.15468/dl.d8nfsp
title: Occurrence Download

description: A dataset containing 112 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_0_GID","value":"ARG","matchCase":false},{"type":"equals","key":"GADM_LEVEL_1_GID","value":"ARG.3_1","matchCase":false},{"type":"equals","key":"GADM_LEVEL_2_GID","value":"ARG.3.12_1","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 112 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060408-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pmwk7h
title: Occurrence Download

description: A dataset listing the 4320 species recorded in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-1000.0",
 "DatasetKey is ZOBODAT (Zoological Botanical Database)",
 "Geometry POLYGON((11.83149 51.29958,11.66493 48.09954,19.16497 48.09965,19.33152 51.29969,14.64381 51.29962,11.83149 51.29958))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset's 4320 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060399-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m7t9fn
title: Occurrence Download

description: A dataset containing 244 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hakea pandanicarpa crassifolia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 244 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060409-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17788752
title: Monitoring data from Forested Infiltration Area in Arborea, Italy (NATMED project)

description: The dataset includes the data resulting from the monitoring network in the Forested Infiltration Area (FIA) in Arborea (Italy). The monitoring network was set within the project Menawara (ENI CBC MED) and Natmed (funded by PRIMA EU program). These Dataset are associate with D3.3 - case study assessment (NATMED) 

The dataset includes the following data:

1) Evapotraspiration. Computed at daily scale with the Penman Monteith equation with weather data obtained at the Luri weather station in Arborea (see weather.xlsx).

2) Weather.  Weather data obtained at the Luri weather station in Arborea, includes: precipitation, air temperature, air humidity, solar radiation, wind speed.

3) Water quality. Nitrates, phosphates and Ammonia concentration detected in inflow (IN), in the suction lysimeter disk (LIS) of the PTS layer, and in groundwater (PZ)

4) Soil moisture. Average soil moisture and soil temperatures detected by multiprofiling probes.

5) Piezometric levels. Piezometric levels detected by pressure transducer in 5 wells within the FIA area.

6) GHG emission. N2O , CO2 and CH4 gas emissions from soil and trenches of the FIA area

7) Water temperature on PTS. Temperature detected by T107 sensors in the PTS.