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

description: A dataset containing 11120 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is MEX.26_1",
 "TaxonKey is Trochilidae"
 ]
}

 The dataset includes 11120 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0134409-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sk9g26
title: Occurrence Download

description: A dataset containing 693 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "GadmGid is NOR.5.13_1",
 "TaxonKey is Lagopus lagopus (Linnaeus, 1758)",
 "Year 2001-2024"
 ]
}

 The dataset includes 693 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068199-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tuk3gp
title: Occurrence Download

description: A dataset containing 284540 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acer platanoides L."
 ]
}

 The dataset includes 284540 records from 845 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0110731-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25921/rzxg-p717
title: NOAA Global Surface Temperature Dataset (NOAAGlobalTemp), Version 6.0
DOI: 10.5285/77b64c55-7166-4a06-9def-2e400398e452
title: Antarctic and Greenland Ice Sheet mass balance 1992-2020 for IPCC AR6

description: This dataset contains rates of mass change and cumulative mass change and their associated uncertainty for the Antarctic Ice Sheet (in its entirety and split into West Antarctica, East Antarctica and the Antarctic Peninsula), the Greenland Ice Sheet, and their sum between 1992 and 2020. The data are reconciled estimates of mass balance from three independent satellite-based techniques: altimetry, gravimetry and input-output method. This dataset is part of the Ice Sheet Mass Balance Intercomparison Exercise (IMBIE). This work is an outcome of the Ice Sheet Mass Balance Inter-Comparison Exercise IMBIE) supported by the ESA Climate Change Initiative and the NASA Cryosphere Program. Andrew Shepherd was additionally supported by a Royal Society Wolfson Research Merit Award and the UK Natural Environment Research Council Centre for Polar Observation and Modelling (cpom30001).
description: The data used to produce this reconciled mass balance estimate were gathered in the framework of the IMBIE project. In total, 46 independent satellite estimates of mass change (21 Antarctica, 25 Greenland) were used to produce this final dataset. The methodology to aggregate these into a final estimate are described in both Shepherd et al (2018) and Shepherd et al (2019).
description: Each dataset contributed to the IMBIE project was processed independently by their contributors and the methods and errors on their dataset have been documented in an international peer-reviewed journal. A dedicated processor was developed in Python to compute the reconciled mass balance estimate and its uncertainty, and the core code is freely available at https://github.com/IMBIE.
description: The data are reconciled estimates from 46 individual satellite-based surveys derived from the altimetry, gravimetry and input-output techniques. The respective one sigma uncertainties for each reconciled dataset are provided.
DOI: 10.5676/dwd_gpcc/clim_m_v2022_100
title: GPCC Climatology Version 2022 at 1.0° :  Monthly Land-Surface Precipitation Climatology for Every Month and the Total Year from Rain-Gauges built on GTS-based and Historical Data

description: The new GPCC Precipitation Climatology (V.2022) is focusing on the period 1951-2000 and consists of normals from ca. 86,000 stations. The climatology comprises normals collected by WMO (CLINOs), delivered by the countries to GPCC or calculated from time- series of monthly data (with at least 10 complete years of data) available in our database. In case that time series of sufficient length (more than 40 years) for the period 1951-2000 were not available from a specific station, then climatological normals have also been calculated for 30-year reference periods within the period 1951-2000 (for 1961-1990, 1951-1980 or 1971-2000) with at least 20 years of data. If even this was not possible, normals have been calculated for other 30-year periods 1931-1960, 1941-1970, 1981- 2010 or 1991-2020 or for any other period with at least 10 complete years of data.
This climatology is available on a regular latitude/longitude grid with a spatial resolution of 0.25° x 0.25°, 0.5° x 0.5°, 1.0° x 1.0°, and 2.5° x 2.5°. This GPCC product has been developed as a background field, for superposition of an interpolated anomaly field according to the period of interest. All other GPCC products utilize the background fields of the GPCC Climatology to grid the monthly data at the corresponding resolution with the anomaly interpolation method.

In addition, the climatological periods 1931-1960, 1941-1970, 1951-1980, 1961-1990, 1971-2000, 1981-2010, 1991-2020 are available for download. The periods were calculated with at least 20 complete years and consists of data from ca. 20,000-40,000 stations.
DOI: 10.5676/dwd_gpcc/fd_m_v2022_100
title: GPCC Full Data Monthly Version 2022 at 1.0°: Monthly Land-Surface Precipitation from Rain-Gauges built on GTS-based and Historic Data
title: Globally Gridded Monthly Totals

description: This is the centennial GPCC Full Data Monthly Product of monthly global land-surface precipitation based on the ~86,000 stations world-wide that feature record durations of 10 years or longer. The data coverage per month varies from ~20,000 (previous version 15,000) to more than 52,000 stations. The Full Data Monthly Product will be updated at irregular time intervals subsequent to significant data base improvements. This product contains the monthly totals on a regular grid with a spatial resolution of 0.25° x 0.25°, 0.5° x 0.5°, 1.0° x 1.0°, and 2.5° x 2.5° latitude by longitude. Precipitation anomalies at the stations are interpolated and then superimposed on the GPCC Climatology V2022 in the corresponding resolution (DOIs: 10.5676/DWD_GPCC/Clim_M_V2022_025, 10.5676/DWD_GPCC/Clim_M_V2022_050, 10.5676/DWD_GPCC/Clim_M_V2022_100, and 10.5676/DWD_GPCC/Clim_M_V2022_250). The temporal coverage of the dataset ranges from January 1891 until December 2020.

The GPCC Full Data Monthly Product is the most accurate in situ precipitation reanalysis data set of GPCC. Moreover it supports regional climate monitoring, model validation, climate variability analysis and water resources assessment studies.
description: General user recommendations:
Users are referred to following gridded Global Precipitation Climate Centre (GPCC) products:

GPCC Climatology 1951-2000 (GPCC_Clim) with high representativeness, for application as a reference, and for utilization of the anomaly interpolation method.

GPCC Full Data Monthly Product (GPCC_FD) with high accuracy, for, e.g., verification of models, or for analysis of historical global precipitation, or for research concerning the global water cycle, e.g., teleconnection analyses.

GPCC Full Data Daily Product (GPCC_FD_D) is recommended to be used when the daily precipitation information is of highest importance, e.g. for analyses of extreme events and related statistics at daily resolution.

GPCC HOMPRA-Europe (HOMPRA-Europe) with homogenized precipitation data, suitable for trend analyses.

GPCC Monitoring Product (GPCC_MP) with high availability and reasonable timeliness, for applications like calibration of satellite data, or early annual reporting.

GPCC First Guess Monthly Product (GPCC_FG) with high timeliness, to be applied for, e.g., drought monitoring.

GPCC First Guess Daily Product (GPCC_FG_D) with high timeliness, to be applied for, e.g., drought monitoring.

GPCC Drought Index Product (GPCC_DI_M) with high timeliness, to be applied for, e.g., drought monitoring.

Please notice also the (GPCC Download Gate) with the current versions of all GPCC datasets and additional informations.
DOI: 10.5676/dwd_gpcc/fg_m_100
title: GPCC First Guess Product at 1.0°: Near Real-Time First Guess Monthly Land-Surface Precipitation from Rain-Gauges based on SYNOP Data
title: Gridded Monthly Totals

description: This is the GPCC First Guess Product of monthly global land-surface precipitation based on the station database (SYNOP) available via the Global Telecommunication System (GTS) of the World Meteorological Organization (WMO) at the time of analysis (3 - 5 days after end of the analysis month). This product contains the monthly totals on a regular latitude/longitude grid with a spatial resolution of 1.0° x 1.0° latitude by longitude. Interpolation is made on the anomalies from the GPCC Climatology V2015 in the corresponding resolution (DOI: 10.5676/DWD_GPCC/Clim_M_V2015_100). The temporal coverage of the dataset ranges from August 2004 until the most recent month for which GTS based SYNOP data is available, i.e. the previous month, 3-5 days after its completion.
DOI: 10.5676/dwd_gpcc/mp_m_v2022_100
title: GPCC Monitoring Product: Near Real-Time Monthly Land-Surface Precipitation from Rain-Gauges based on SYNOP and CLIMAT data
title: Globally Gridded Monthly Totals

description: This is the GPCC Monitoring Product of monthly global land-surface precipitation based on the station database (SYNOP, CLIMAT) available via the Global Telecommunication System (GTS) of the World Meteorological Organization (WMO) at the time of analysis (2 months after end of an analysis month). This product contains the monthly totals on a regular latitude/longitude grid with a spatial resolution of 1.0° x 1.0° and 2.5° x 2.5°degrees. Interpolation is made on the anomalies from the GPCC Climatology V2022 in the corresponding resolutions (DOIs: http://dx.doi.org/10.5676/DWD_GPCC/Clim_M_V2022_100 and http://dx.doi.org/10.5676/DWD_GPCC/Clim_M_V2022_250). The temporal coverage of the dataset ranges from January 1982 until the month for which GTS data (SYNOP and CLIMAT) is available, i.e. 2 months after end of the analysis month due. The GPCC Monitoring Product is the in situ component to the satellite-gauge combined precipitation analyses of the Global Precipitation Climatology Product (GPCP) and the CPC Merged Analysis of Precipitation (CMAP). Moreover it supports regional climate monitoring and serves the land-surface complement to the Hamburg Ocean-Atmosphere Parameters and Fluxes from Satellite (HOAPS) data set.
DOI: 10.5281/zenodo.15205853
title: WMO State of the Global Climate 2024 dashboard

description: Archive of the dashboard used to provide information for the WMO State of the Global Climate 2024 and to support production of the regional reports.
DOI: 10.5281/zenodo.15205854
title: WMO State of the Global Climate 2024 dashboard

description: Archive of the dashboard used to provide information for the WMO State of the Global Climate 2024 and to support production of the regional reports.
DOI: 10.15468/dl.9p2j6m
title: Occurrence Download

description: A dataset containing 2571 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-60.00616 5.92284,78.00616 5.92284,78.00616 61.07716,-60.00616 61.07716,-60.00616 5.92284))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cymodocea nodosa (Ucria) Asch."
 ]
}

 The dataset includes 2571 records from 76 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020633-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/independent-c69-37857
title: Claims (GX 17033 - GX 17639), 1990

description: Collection of claims filed against the LAPD with regards ranging from wrongful death to violation of civil rights, etc., 1990. PART OF A SERIES: The series includes materials related to the work product of Price Waterhouse, whose staff investigated citizen complaints and civil litigation claims involving the LAPD. Included are claims reports, claims analyses, card files, and arbitration reports; summaries of 83 selected civil litigation cases; materials from the personnel files of LAPD officers named in these cases, as well as documents listing their subsequent penalties; and statistics that break complaints down according to a variety of criteria, including race, gender, and police division.
DOI: 10.25549/independent-c69-37865
title: Claims (GX 17033 - GX 17639), 1990

description: Collection of claims filed against the LAPD with regards ranging from wrongful death to violation of civil rights, etc., 1990. PART OF A SERIES: The series includes materials related to the work product of Price Waterhouse, whose staff investigated citizen complaints and civil litigation claims involving the LAPD. Included are claims reports, claims analyses, card files, and arbitration reports; summaries of 83 selected civil litigation cases; materials from the personnel files of LAPD officers named in these cases, as well as documents listing their subsequent penalties; and statistics that break complaints down according to a variety of criteria, including race, gender, and police division.
DOI: 10.25549/independent-c69-37831
title: Claims (GX 17033 - GX 17639), 1990

description: Collection of claims filed against the LAPD with regards ranging from wrongful death to violation of civil rights, etc., 1990. PART OF A SERIES: The series includes materials related to the work product of Price Waterhouse, whose staff investigated citizen complaints and civil litigation claims involving the LAPD. Included are claims reports, claims analyses, card files, and arbitration reports; summaries of 83 selected civil litigation cases; materials from the personnel files of LAPD officers named in these cases, as well as documents listing their subsequent penalties; and statistics that break complaints down according to a variety of criteria, including race, gender, and police division.
DOI: 10.15468/dl.cupuc2
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hyporhamphus naos Banford & Collette, 2001"
 ]
}

 The dataset includes 46 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001808-150615163101818/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qucwjv
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sedum ulricae Fröd."
 ]
}

 The dataset includes 29 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048829-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.93mqeh
title: Occurrence Download

description: A dataset containing 151363055 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Geometry POLYGON((-11.7408 49.60629,2.30996 49.60629,2.30996 59.22856,-11.7408 59.22856,-11.7408 49.60629))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 151363055 records from 2333 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048834-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1059121.10fu
title: SH1059121.10FU

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/sh1059123.10fu
title: SH1059123.10FU

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/sh1059125.10fu
title: SH1059125.10FU

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/sh1059127.10fu
title: SH1059127.10FU

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/sh1059128.10fu
title: SH1059128.10FU

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/sh1059131.10fu
title: SH1059131.10FU

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/sh1059138.10fu
title: SH1059138.10FU

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.