cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25921/pr4b-xh53
title: Oceanographic data collected from station Burkolator, Carlsbad Aquafarm, in the Coastal Waters of California by Scripps Institution of Oceanography (SIO) and assembled by Southern California Coastal Ocean Observing System (SCCOOS) Regional Association from 2015-02-14 to 2019-02-06 (NCEI Accession 0166465)

description: This dataset contains oceanographic and surface meteorological data collected from an automated shore station with a suite of sensors that are attached to Burkolator, Carlsbad Aquafarm, along the nearshore California coast. These automated sensors measure DEPTH - OBSERVATION, DISSOLVED INORGANIC CARBON (DIC), SALINITY, WATER TEMPERATURE and partial pressure of carbon dioxide - water at frequent intervals in the nearshore coastal ocean. These data can provide local and regional information on mixing and upwelling, land run-off, and algal blooms. Scripps Institution of Oceanography (SIO) collected the data and provided the data to SCCOOS, which assembles data from Scripps Institution of Oceanography (SIO) and other sub-regional coastal and ocean observing systems of the Southern California Coastal United States, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. The data are made available in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). Each quarter, NCEI adds to this dataset the data collected or updated during the previous quarter.
DOI: 10.25919/8r8b-ra07
title: NBDL-J1XVBWPEHT9Z4F
DOI: 10.25919/m1ns-7f59
title: NBDL-J1XVBWNEPT2FPA
DOI: 10.25919/thxz-xd71
title: NBDL-J1XVBWPPHT92QF
DOI: 10.25919/whz2-6637
title: NBDL-J1XVBWR8PV44G4
DOI: 10.25919/33vp-3287
title: NBDL-J1XVBWN8JT5P42
DOI: 10.25919/bnp6-xh77
title: NBDL-J1XVBWQNKTBYN3
DOI: 10.25919/tg70-ms95
title: NBDL-J1XVBWNXGT2QAY
DOI: 10.25919/4y2g-6c75
title: NBDL-J1XVBWR2JV4M8W
DOI: 10.25919/7rwk-e193
title: NBDL-J1XVBWQFQT8EDV
DOI: 10.25919/059m-yf52
title: NBDL-J1XVBWQ2HT8ZVZ
DOI: 10.25919/1vby-vv51
title: NBDL-J1XVBWR9GV472R
DOI: 10.25919/nh59-x602
title: NBDL-J1XVBWNZMT3ADP
DOI: 10.25919/xbdx-cj13
title: NBDL-J1XVBWN2PT5RTT
DOI: 10.25919/9r2s-kn02
title: NBDL-J1XVBWR4PV4YYM
DOI: 10.25919/5hx4-qa54
title: NBDL-J1XVBWP6HT6BSF
DOI: 10.25919/sm63-8704
title: NBDL-J1XVBWN5GT5XKY
DOI: 10.25919/r7ja-8t77
title: NBDL-J1XVBWP4NT9MNQ
DOI: 10.25919/7daa-db67
title: NBDL-J1XVBWPVQT99YB
DOI: 10.25921/bgec-ez64
title: NCEI Standard Product: Global Ocean Currents Database (GOCD) (NCEI Accession 0171666)

description: This National Centers for Environmental Information (NCEI) archival information package (AIP) contains a product generated by NCEI-- the Global Ocean Currents Database (GOCD). It is derived from NCEI AIPs that hold in situ ocean current data from a diverse range of instruments, collection protocols, processing methods, and data storage formats. For acceptance into the GOCD, the data must have sufficient quality control and thorough documentation. The GODC merges the variety of original formats into the NCEI standard network common data form (NetCDF) format. From the shipboard acoustic Doppler current profiler sets, the GOCD creates files that hold single vertical ocean currents profiles. The GOCD spans 1962 to 2016.

This revision adds files that were created as part of a database update that was in progress at the time of GOCD's decommissioning in April, 2025. The additional files include provisional data files processed using newer, experimental software for file reformatting and quality control. The processing software is included as well.

NCEI decommissioned the Global Ocean Currents Database in April 2025 with no further updates. Comments and questions may be sent to: ncei.info@noaa.gov.
DOI: 10.25919/nma3-2c78
title: NBDL-J1XVBWM5GT33ZY
DOI: 10.25919/1ae8-2744
title: NBDL-J1XVBWP8NT9JF7
DOI: 10.25919/xnqb-cf97
title: NBDL-J1XVBWP2HT627Z
DOI: 10.25919/a816-a755
title: NBDL-J1XVBWN6PT5K1A
DOI: 10.25919/nqbr-gs46
title: NBDL-J1XVBWQ0NT8RG7
DOI: 10.25919/6q6x-ev32
title: NBDL-J1XVBWNMJT257J
DOI: 10.5281/zenodo.13904220
title: CD5 index of works published in the period 1945-2018

description: The xz-compressed data file (2.7 GiB uncompressed) contains 44,008,797 records  comprising two fields separated by a "|" character:



Publication DOI

Five-year consolidation / disruption (CD₅) index (when available)


The data set was derived from the Crossref 2024 public data file using Alexandria3k and fast-cdindex. More information about the process can be found in the following papers.



Diomidis Spinellis. Open reproducible scientometric research with Alexandria3k. PLoS ONE, 18(11):e0294946, November 2023. doi:10.1371/journal.pone.0294946

Diomidis Spinellis. Efficient graph processing. IEEE Software, 42(1):22–25, January 2025. doi:10.1109/ms.2024.3477013


In common with the latest revision of the previously released 1945–2016 data set, this one incorporates into the calculation works lacking a reference list, but not calculating a CD₅ index for them. It also excludes works published after 2018, as they lack five years of citations to them.
DOI: 10.15468/dl.7wyz4d
title: Occurrence Download

description: A dataset containing 238 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Anomostachys"
 ]
}

 The dataset includes 238 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029498-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13904219
title: CD5 index of works published in the period 1945-2018

description: The xz-compressed data file (2.7 GiB uncompressed) contains 44,008,797 records  comprising two fields separated by a "|" character:



Publication DOI

Five-year consolidation / disruption (CD₅) index (when available)


The data set was derived from the Crossref 2024 public data file using Alexandria3k and fast-cdindex. More information about the process can be found in the following papers.



Diomidis Spinellis. Open reproducible scientometric research with Alexandria3k. PLoS ONE, 18(11):e0294946, November 2023. doi:10.1371/journal.pone.0294946

Diomidis Spinellis. Efficient graph processing. IEEE Software, 42(1):22–25, January 2025. doi:10.1109/ms.2024.3477013


In common with the latest revision of the previously released 1945–2016 data set, this one incorporates into the calculation works lacking a reference list, but not calculating a CD₅ index for them. It also excludes works published after 2018, as they lack five years of citations to them.
DOI: 10.25919/ycjt-9b96
title: NBDL-J1XVBWN4JT5ZXJ
DOI: 10.25919/20vm-1q06
title: NBDL-J1XVBWNAPT5NFT
DOI: 10.25919/0088-yz44
title: NBDL-J1XVBWP0NT6EW7
DOI: 10.25919/dr4x-fz34
title: NBDL-J1XVBWPWNT8JYQ
DOI: 10.25919/r1bm-c597
title: NBDL-J1XVBWPHKT97FK
DOI: 10.25919/3yjf-4q90
title: NBDL-J1XVBWNGJT22S2
DOI: 10.25919/xb9d-da86
title: NBDL-J1XVBWPCNT9R0Q
DOI: 10.25919/r3m2-6853
title: NBDL-J1XVBWQHKTBH3K
DOI: 10.25919/fbxg-s250
title: NBDL-J1XVBWP9KT9KWK
DOI: 10.15468/dl.brmqrg
title: Occurrence Download

description: A dataset containing 781 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Ecological study of the plankton in the port of Ostend in 1965"
 ]
}

 The dataset includes 781 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029500-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z4tw5a
title: Occurrence Download

description: A dataset containing 37 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is A summary of benthic studies in the sluice dock of Ostend during 1976-1981"
 ]
}

 The dataset includes 37 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029501-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25919/6a8n-z798
title: NBDL-J1XVBWN7MT5GPP
DOI: 10.25919/m081-f018
title: NBDL-J1XVBWQCNTBNMQ
DOI: 10.15468/dl.hhza8j
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Dracocephalum forrestii)"
 ]
}

 The dataset includes 38 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029503-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25919/4y22-jr88
title: NBDL-J1XVBWPAHT9HJZ
DOI: 10.25919/517f-8r31
title: NBDL-J1XVBWKRHVTJVD
DOI: 10.25919/cqyq-vt24
title: NBDL-J1XVBWQDKT8BA3
DOI: 10.25919/292p-aw07
title: NBDL-J1XVBWQ5KT87Z3
DOI: 10.15468/dl.t56uav
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Biddulphia aurita",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029504-250920141307145/datasets/export for details.
DOI: 10.25919/0j5r-ec14
title: NBDL-J1XVBWPJHT94XZ
DOI: 10.25919/xwxy-yd54
title: NBDL-J1XVBWPSKT9ATK
DOI: 10.25919/dmz3-7t60
title: NBDL-J1XVBWQQQTBXRV
DOI: 10.25919/2g8b-9z37
title: NBDL-J1XVBWPXKT8GC3
DOI: 10.25919/t2xm-0b63
title: NBDL-J1XVBWPZQT8QQV
DOI: 10.25919/84gy-8r88
title: NBDL-J1XVBWQJHTBPHZ
DOI: 10.25919/5n0q-zh78
title: NBDL-J1XVBWRBMV4T5G
DOI: 10.25919/ydaf-bt27
title: NBDL-J1XVBWREJV41DC
DOI: 10.25919/kfa2-xq21
title: NBDL-J1XVBWRFMV43Z0
DOI: 10.25919/s4pz-q051
title: NBDL-J1XVBWQVQTBVJB
DOI: 10.25919/yyxd-da54
title: NBDL-J1XVBWP7QT69EV
DOI: 10.15468/dl.kme43j
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Zosterops virens",
 "Country is one of (Brunei Darussalam, Indonesia, Philippines, Timor-Leste, Singapore)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029505-250920141307145/datasets/export for details.
DOI: 10.60517/zs25xb846
title: Distributed Fiber Optic Sensing (DFOS) Measurements of the 2025 M8.8 Kamchatka Earthquake in Brabant, the Netherlands
DOI: 10.5281/zenodo.17225592
title: Dataset of "Glycerol-based nanofluids for thermal energy storage and transport "

description: The current energy demand and policy are making advanced energy storage systems and electricity-saving devices more and more necessary. Energy storage using a liquid medium, occasionally doped with nanoparticles to form nanofluids, is being considered as a promising solution and has been reported repeatedly. The most significant feature of these systems is their specific heat capacity, which can be improved by adding nanoparticles. These nanofluid systems are mainly designed for high-temperature applications based on molten salt matrices and are generally not feasible for small facilities or households. In this contribution, we are reporting the preparation of a glycerol-based medium-temperature heat transfer fluid, which could be feasible for households and smaller industrial facilities. The systems were chosen for affordability and function. The samples were based on stabilized nanoparticles of silicon dioxide, aluminum oxide and metallic copper nanoparticles. Prepared samples of the heat transfer fluid were thoroughly characterized in terms of composition and microstructure. The main useful properties of the systems dispersion stability, stored heat, viscosity, and thermal conductivity were determined. The results indicate favorable properties that show application potential of these systems.
DOI: 10.5281/zenodo.17225593
title: Dataset of "Glycerol-based nanofluids for thermal energy storage and transport "

description: The current energy demand and policy are making advanced energy storage systems and electricity-saving devices more and more necessary. Energy storage using a liquid medium, occasionally doped with nanoparticles to form nanofluids, is being considered as a promising solution and has been reported repeatedly. The most significant feature of these systems is their specific heat capacity, which can be improved by adding nanoparticles. These nanofluid systems are mainly designed for high-temperature applications based on molten salt matrices and are generally not feasible for small facilities or households. In this contribution, we are reporting the preparation of a glycerol-based medium-temperature heat transfer fluid, which could be feasible for households and smaller industrial facilities. The systems were chosen for affordability and function. The samples were based on stabilized nanoparticles of silicon dioxide, aluminum oxide and metallic copper nanoparticles. Prepared samples of the heat transfer fluid were thoroughly characterized in terms of composition and microstructure. The main useful properties of the systems dispersion stability, stored heat, viscosity, and thermal conductivity were determined. The results indicate favorable properties that show application potential of these systems.
DOI: 10.5281/zenodo.17205706
title: Turbot –  Scophthalmus maximus – Habitat Suitability Index (HIS)

description: The Black Sea Fisheries Digital Twin is implemented in the north western part of the Black Sea. Covering the shores of Romania, Bulgaria and Ukraine, this use case aims to provide a modern, intuitive tool for the fishermen. 

The DT provides access to valuable information, such as favorable areas for specific species, in order to help fishermen to maximize the economic efficiency of their activities. The DT is to identify the favorable conditions for fishing. Habitat Suitability Index (HIS) is implemented to reflect the optimal conditions for specific species. In this specific case, the HSI is calculated for Turbot – Scophthalmus maximus. For the turbot analysis, a dedicated model was constructed using the in-situ catch data provided by the National Institute for Marine Research and Development. This regionally calibrated model was then applied to monthly datasets for a ten-year period (January 2013 - December 2022).

 

For the HSI a couple of parameters were used:





Temperature: Black Sea High Resolution and Ultra High Resolution Sea Surface Temperature Analysis - SST_BS_SST_L4_NRT_OBSERVATIONS_010_006 and Black Sea Physics Reanalysis - BLKSEA_MULTIYEAR_PHY_007_004 (CMEMS);




Salinity: Black Sea Physics Reanalysis - BLKSEA_MULTIYEAR_PHY_007_004 (CMEMS);




Primary Production: Black Sea Biogeochemistry Reanalysis - BLKSEA_REANALYSIS_BIO_007_005 (CMEMS);




Sea Surface Height (SSH) and currents velocity: Black Sea Physics Reanalysis - BLKSEA_MULTIYEAR_PHY_007_004.




Dissolved oxygen concentration: Black Sea Physics Reanalysis - BLKSEA_MULTIYEAR_PHY_007_004.




Marine fronts (generated based on temperature products);




Bathymetry: GEBCO - General Bathymetric Chart of the Oceans (UNESCO IHO/IOC).



File type - multiband geotiff

Temporal resolution - monthly - 2013.01.01-2022.12.01

Spatial resolution - 1km

Data type: Float32 - Thirty-two-bit floating point

File naming convention - hsi_monthly_2013_2022_turbot_1km - Habitat Suitability Index _ temporal resolution _ time coverage _ turbot _ spatial resolution 1 km

Inside the archive, the .sld file helps you to symbolize data within a GIS or WEB GIS environment.
DOI: 10.5281/zenodo.17205705
title: Turbot –  Scophthalmus maximus – Habitat Suitability Index (HIS)

description: The Black Sea Fisheries Digital Twin is implemented in the north western part of the Black Sea. Covering the shores of Romania, Bulgaria and Ukraine, this use case aims to provide a modern, intuitive tool for the fishermen. 

The DT provides access to valuable information, such as favorable areas for specific species, in order to help fishermen to maximize the economic efficiency of their activities. The DT is to identify the favorable conditions for fishing. Habitat Suitability Index (HIS) is implemented to reflect the optimal conditions for specific species. In this specific case, the HSI is calculated for Turbot – Scophthalmus maximus. For the turbot analysis, a dedicated model was constructed using the in-situ catch data provided by the National Institute for Marine Research and Development. This regionally calibrated model was then applied to monthly datasets for a ten-year period (January 2013 - December 2022).

 

For the HSI a couple of parameters were used:





Temperature: Black Sea High Resolution and Ultra High Resolution Sea Surface Temperature Analysis - SST_BS_SST_L4_NRT_OBSERVATIONS_010_006 and Black Sea Physics Reanalysis - BLKSEA_MULTIYEAR_PHY_007_004 (CMEMS);




Salinity: Black Sea Physics Reanalysis - BLKSEA_MULTIYEAR_PHY_007_004 (CMEMS);




Primary Production: Black Sea Biogeochemistry Reanalysis - BLKSEA_REANALYSIS_BIO_007_005 (CMEMS);




Sea Surface Height (SSH) and currents velocity: Black Sea Physics Reanalysis - BLKSEA_MULTIYEAR_PHY_007_004.




Dissolved oxygen concentration: Black Sea Physics Reanalysis - BLKSEA_MULTIYEAR_PHY_007_004.




Marine fronts (generated based on temperature products);




Bathymetry: GEBCO - General Bathymetric Chart of the Oceans (UNESCO IHO/IOC).



File type - multiband geotiff

Temporal resolution - monthly - 2013.01.01-2022.12.01

Spatial resolution - 1km

Data type: Float32 - Thirty-two-bit floating point

File naming convention - hsi_monthly_2013_2022_turbot_1km - Habitat Suitability Index _ temporal resolution _ time coverage _ turbot _ spatial resolution 1 km

Inside the archive, the .sld file helps you to symbolize data within a GIS or WEB GIS environment.
DOI: 10.15468/dl.gph68v
title: Occurrence Download

description: A dataset containing 231 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Epifauna community at Waarde and Saeftinghe (Westerschelde) in 1991"
 ]
}

 The dataset includes 231 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029506-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25921/h7zf-tz27
title: Oceanographic data processed by Japan Oceanographic Data Center in 2018 (NCEI Accession 0191718)

description: This dataset includes oceanographic data processed by Japan Oceanographic Data Center in 2018. The dataset includes the following submissions:

1. Japan Meteorological Agency Observation data (2014, 2016)
2. VOS Nippon (NPO) Observation data (2013-2015)
3. Mie Prefectural Fisheries High School Observation data (2016-2017)
4. National Institute of Polar Research Observation data (2017, 2018)
5. Japan Coast Guard Observation data (2017)
6. Japan Fisheries Research and Education Agency Observation data (2004-2015)
7. Maritime Self Defense Force Observation data (2005-2010)
DOI: 10.15468/dl.7vqt3j
title: Occurrence Download

description: A dataset containing 923 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Dracocephalum grandiflorum)"
 ]
}

 The dataset includes 923 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029507-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p8a4uk
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Biddulphia biddulphiana",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029508-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2gm5yj
title: Occurrence Download

description: A dataset containing 36 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 countrycode countrycode,
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, countrycode, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, countrycode, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, countrycode, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, countrycode, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, countrycode, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, countrycode, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 (CAST(occurrence.taxonkey AS INTEGER) = 5219308 OR CAST(occurrence.acceptedtaxonkey AS INTEGER) = 5219308 OR CAST(occurrence.kingdomkey AS INTEGER) = 5219308 OR CAST(occurrence.phylumkey AS INTEGER) = 5219308 OR CAST(occurrence.classkey AS INTEGER) = 5219308 OR CAST(occurrence.orderkey AS INTEGER) = 5219308 OR CAST(occurrence.familykey AS INTEGER) = 5219308 OR CAST(occurrence.genuskey AS INTEGER) = 5219308 OR CAST(occurrence.specieskey AS INTEGER) = 5219308)
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL AND occurrence.hascoordinate = TRUE)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year",
 occurrence.countrycode

 The dataset's 36 records were derived from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029463-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.82qd7v
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Zosterops anderssoni",
 "Country is one of (Brunei Darussalam, Indonesia, Philippines, Timor-Leste, Singapore)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029509-250920141307145/datasets/export for details.