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

description: A dataset containing 800 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Artemisia integrifolia L."
 ]
}

 The dataset includes 800 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020310-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7289/v5mw2fd5
title: EK60 Water Column Sonar Data Collected During EX1701

description: Operations will include the use of the ship's deep water mapping systems (Kongsberg EM302 multibeam sonar, EK60 split-beam fisheries sonars, ADCPs, and Knudsen 3260 chirp sub-bottom profiler sonar), and the ship's high-bandwidth satellite connection for real-time ship to shore communications.
DOI: 10.7289/v5cf9nc6
title: EK60 Water Column Sonar Data Collected During EX1702

description: Operations will include the use of the ship's deep water mapping systems (Kongsberg EM302 multibeam sonar, EK60 split-beam fisheries sonars, Knudsen 3260 chirp sub-bottom profiler sonar, and Teledyne Acoustic Doppler Current Profilers), XBT and Underway CTD casts in support of multibeam sonar mapping operations, OER's 6000 m two-body ROV Deep Discoverer and Seirios, and the ship's high-bandwidth satellite connection for continuous real-time ship-to-shore communications.
DOI: 10.7289/v5cr5rm5
title: GOES-R Series Level 1b SEISS Magnetospheric Particle Sensor High Energy (MPS-HI) Product in Daily Aggregations

description: The GOES-R Magnetospheric Electrons and Protons: Medium and High Energy (MPSH) Product consists of fluxes of medium and high energy electrons and protons derived from in situ measurements of electron and proton count rates. The Magnetospheric Particle Sensor High (MPS-HI) makes these measurements. MPS-HI consists of ten solid state telescopes, five for electrons and five for protons, that define a 170-degree fan-like field-of-regard in the north-south plane. Differential and integral electron fluxes are reported at eleven energy bands from each electron telescope. Ten of the energy bands are evenly spaced logarithmically spanning from 50 keV to 4 MeV with differential electron flux being reported. The eleventh energy band collects electrons with energies greater than 2 MeV with electron integral flux being reported. In addition, differential proton fluxes are reported at eleven energy bands from each proton telescope. The eleven proton energy bands are evenly spaced logarithmically and range from 80 keV to 12 MeV. In addition, the product contains ionizing radiation doses in two energy deposition ranges, 50 keV to 1 MeV (low linear energy transfer, LOLET) and 1 MeV to 50 MeV (high linear energy transfer, HILET). The product also contains processing and data quality metadata, satellite state and location information, and data required for the generation of level 2 products. Measurement resolution is one second. NOAA's National Centers for Environmental Information (NCEI) has created these daily files by aggregating the official L1b files produced by the GOES-R Ground System. The granular L1b files each span 30 seconds of observations.
DOI: 10.7289/v5hd7sx5
title: Earth System Research Laboratory Carbon Cycle and Greenhouse Gases Group Continuous Insitu Measurements of CO2, CH4, and CO at Global Background Sites, 1973-Present

description: The Global Greenhouse Gas Reference Network for the Carbon Cycle and Greenhouse Gases (CCGG) Group is part of NOAA'S Earth System Research Laboratory (ESRL) in Boulder, CO. The Reference Network measures the atmospheric distribution and trends of the three main long-term drivers of climate change, carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O), as well as carbon monoxide (CO) which is an important indicator of air pollution. The Reference Network measurement program includes continuous in-situ measurements at 4 baseline observatories (global background sites) and 8 tall towers, as well as flask-air samples collected by volunteers at over 50 additional regional background sites and from small aircraft. The air samples are returned to ESRL for analysis where measurements of about 55 trace gases are done. NOAA's Global Greenhouse Gas Reference Network maintains the World Meteorological Organization international calibration scales for CO2, CH4, CO, N2O, and SF6 in air. The measurements of the Global Greenhouse Gas Reference Network serve as a comparison with measurements made by many other international laboratories, and with regional studies. They are widely used in studies inferring space-time patterns of emissions and removals of greenhouse gases that are optimally consistent with the atmospheric observations. They serve as an early warning for climate "surprises". The measurements are also helpful for the ongoing evaluation of remote sensing technologies.

Observatory Measurements: NOAA/ESRL/GMD operates four staffed atmospheric baseline observatories from which numerous measurements of greenhouse gases are conducted. These baseline observatories, also known as global background sites, are located in Barrow, Alaska; Mauna Loa, Hawaii; American Samoa; and South Pole, Antarctica. The measured data are baseline levels, trends, and causes of variability of atmospheric gases that have the potential to affect global climate. These observatories were established in order to provide a sampling of the most remote air on the planet so that the true "background atmosphere" could be monitored. GMD first began continuous in-situ measurements of CO2 at these observatories in 1973, and added CH4 and CO measurements in the 1980's. The ongoing data set is contingent upon the baseline observatories that are still in use going forward. 

A subset of Observatory Measurements for only carbon dioxide (CO2) taken from Observatories is archived separately with digital object identifiers (DOIs) for each of the four observation stations listed above. The observations run from 1973 through the end of 2016. The main portion of this agreement is for the enhanced "version" of the more encompassing dataset for all of the different types of observation platforms and gases. 

Through the Big Earth Data Initiative (BEDI), ESRL/GMD has taken their data collection and converted files into NetCDF-4, a self-describing format.
DOI: 10.7289/v56t0jwh
title: NOAA JPSS Visible Infrared Imaging Radiometer Suite (VIIRS) Aerosol Detection Environmental Data Record (EDR) from NDE

description: This dataset contains a high quality operational Environmental Data Record (EDR) of suspended matter from the Visible Infrared Imaging Radiometer Suite (VIIRS) instrument onboard the Suomi-NPP satellite and is produced by the NOAA Satellite and Information Service (NESDIS). The retrieval algorithm is based on a legacy product originally developed for the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor but is adapted and improved upon for use by VIIRS. The aerosol mask indicates the presence of either smoke or dust. The dust and smoke masks indicate the presence of dust and smoke, respectively. Because the presence of smoke and dust are independently derived, a given pixel can be identified with both dust and smoke. The product also includes data quality information for on-earth pixels. Note, the binary aerosol, dust, and smoke mask values are dimensionless quantities. The algorithm utilizes fourteen different spectral bands ranging from 0.412 to 12 microns. The spatial resolution is 1 kilometer (km) and the temporal resolution provides global coverage daily. VIIRS Aerosol Detection data distributed by the NESDIS Data Exploitation system (NDE) and obtained from the Comprehensive Large-Array Stewardship System (CLASS) are distributed as single 86-second granules in NetCDF-4 format with metadata attributes included.
DOI: 10.7289/v5bk19ks
title: NOAA JPSS Visible Infrared Imaging Radiometer Suite (VIIRS) Volcanic Ash Detection and Height Environmental Data Record (EDR) from NDE

description: This dataset contains a high quality operational Environmental Data Record (EDR) of volcanic ash from the Visible Infrared Imaging Radiometer (VIIRS) instrument onboard the Suomi-NPP satellite and is produced by the NOAA Satellite and Information Service (NESDIS). The EDR contains two images with pixel values identifying volcanic ash cloud height and volcanic ash mass loading. The product also includes two types of data quality information, one indicator describes the quality of the volcanic ash detection, and the second indicator provides information about the quality and ash characteristics of the retrieval for on-earth pixels. The algorithm utilizes VIIRS sensor data from the M14 (8.55mm), M15 (10.763mm), and M16 (12.013mm) spectral bands and provides global coverage every 12 hours. VIIRS volcanic ash data distributed by the NESDIS Data Exploitation (NDE) system and obtained from the Comprehensive Large Array-Data Stewardship System (CLASS) are distributed as single 86-second granules in NetCDF-4 format with metadata attributes included.
DOI: 10.7289/v5m043mh
title: NOAA JPSS Visible Infrared Imaging Radiometer Suite (VIIRS) Snow Cover Environmental Data Record (EDR) from NDE

description: This dataset contains a high quality operational Environmental Data Record (EDR) of snow cover from the Visible Infrared Imaging Radiometer Suite (VIIRS) instrument onboard the Suomi-NPP satellite and is produced by the NOAA Satellite and Information Service (NESDIS). This product provides both binary (snow or no-snow) and fractional snow cover for cloud-free areas during daytime. The product also includes quality information which provides support information on the quality of snow retrievals. The algorithm utilizes VIIRS visible bands I1 (0.640 micron), I2 (0.865 micron), I3 (1.61 micron), I4 (3.74 micron), and I5 (11.5 micron) at a spatial resolution of 375 meters. VIIRS Snow Cover products distributed by the NESDIS Data Exploitation system (NDE) and obtained from the Comprehensive Large-Array Stewardship System (CLASS) are distributed in single 86-second granules in NetCDF-4 format with metadata attributes included.
DOI: 10.7289/v5vh5m28
title: NOAA JPSS Visible Infrared Imaging Radiometer Suite (VIIRS) Daytime Cloud Optical and Microphysical Properties (DCOMP) from NDE

description: This data set contains a high quality Environmental Data Record (EDR) of daytime cloud optical and microphysical properties (DCOMP) from the Visible Infrared Imaging Radiometer Suite (VIIRS) instrument onboard the Suomi-NPP satellite and is produced by the NOAA Environmental Satellite, Data, and Information Service (NESDIS). The EDR contains Cloud Optical Depth (COD), Cloud effective Particle Size (CPS), and Liquid and Ice Water Path (LWP & IWP). COD and CPS are retrieved simultaneously from observations in one visible and one near-infrared channel. The main information content for COD lies in the conservative scattering channel at about 0.6 micrometer. The absorption channel at 2.2 micrometer provides additional information on CPS and helps indirectly to estimate COD by adjusting the difference in the phase function due to particle size. Liquid and ice water path are calculated subsequently from COD and CPS. The EDR provides global coverage daily at a spatial resolution of 750 meters at nadir. VIIRS DCOMP data distributed by the NESDIS Data Exploitation (NDE) system and obtained from the Comprehensive Large-Array Stewardship System (CLASS) are distributed as single 86-second granules in NetCDF-4 format with metadata attributes included.
DOI: 10.7289/v50863jj
title: NOAA JPSS Visible Infrared Imaging Radiometer Suite (VIIRS) Nighttime Cloud Optical Microphysical Properties (NCOMP) Environmental Data Record (EDR) from NDE

description: This data set contains a high quality Environmental Data Record (EDR) of nighttime cloud optical and microphysical properties (NCOMP) from the Visible Infrared Imaging Radiometer Suite (VIIRS) instrument onboard the Suomi-NPP satellite and is produced by the NOAA Satellite and Information Service (NESDIS). The EDR contains Cloud Optical Depth (COD), Cloud effective Particle Size (CPS), and Liquid and Ice Water Path (LWP and IWP). Liquid and ice water path are calculated subsequently from COD and CPS. The NCOMP algorithm uses VIIRS bands M7, M15, and M16. The EDR provides global coverage daily at a spatial resolution of 750 meters at nadir. VIIRS NCOMP data distributed by the NESDIS Data Exploitation (NDE) system and obtained from the Comprehensive Large-Array Stewardship System (CLASS) are distributed as single 86-second granules in NetCDF-4 format with metadata attributes included.
DOI: 10.7289/v5416v9b
title: NOAA JPSS Visible Infrared Imaging Radiometer Suite (VIIRS) Ice Concentration and Ice Surface Temperature Environmental Data Records (EDRs) from NDE

description: This dataset contains a high quality operational Environmental Data Record (EDR) of Sea Ice Concentration (SIC) and Ice Surface Temperature (IST) from the Visible Infrared Imaging Radiometer Suite (VIIRS) instrument onboard the Suomi-NPP satellite and is produced by the NOAA Environmental Satellite, Data, and Information Service (NESDIS). This daily product identifies ice cover and estimates ice concentration and ice surface temperature over water surfaces for clear (cloud-free) pixels. No land ice applications are included. The product also includes quality information which provides support information on the quality of ice estimates. The algorithm utilizes VIIRS visible bands I1 (0.640 micron), I2 (0.865 micron), I3 (1.61 micron), M5 (0.672 micron), M7 ( 0.862 micron), M10 (1.602 micron), M15 (10.729 micron), and M16 (11.845 micron) at a gridded spatial resolution of 1 kilometer. The VIIRS SIC and IST products distributed by the NESDIS Data Exploitation system (NDE) and obtained from the Comprehensive Large-Array Stewardship System (CLASS) are distributed in single 86-second granules in NetCDF-4 format with metadata attributes included.
DOI: 10.7289/v55t3hjf
title: Earth System Research Laboratory Long-Term Surface Aerosol Measurements

description: Aerosol measurements began at the NOAA Earth System Research Laboratory (ESRL) Global Monitoring Division (GMD) baseline observatories in the mid-1970's with the purpose of detecting a response, or lack of response, of atmospheric aerosols to changing conditions on a global scale. In 1992 ESRL/GMD expanded its aerosol research program to include regional aerosol monitoring stations due to anthropogenic aerosols creating a significant perturbation in the Earth's radiative balance on regional scales. The goals of this regional-scale monitoring program are to characterize means, variability, and trends of climate-forcing properties of different types of aerosols, and the factors that control them. In situ measurements of aerosol optical properties (including light absorption, total scattering, hemispheric backscattering, and total aerosol number concentration) are made at monitoring sites at hourly time resolution. The basic aerosol measurement system consists of a nephelometer (measures aerosol light scattering), absorption photometer (measures light absorption), and a condensation nuclei counter (measures particle number concentration). Data from the aerosol monitoring stations are updated several times a day. Following collection of the raw data at the station, the data are inspected through automatic and manual contamination screenings to eliminate contamination from local pollution sources. Automatic screenings use measured wind speed, direction, and/or total particle number concentration to flag contaminated data. Manual screening is more subjective, relying on the station scientist to evaluate the data in the context of automated contamination flags and their knowledge of the site. 
 
Data applications indicate the importance of continuing to provide long-term aerosol in-situ measurements for use in analysis of trends and climatologies, evaluation of model simulations of aerosol climatologies, and behavior and validation of remote sensing retrievals of aerosol optical properties. GMD's measurements also provide ground-truth for satellite measurements and global models, as well as key aerosol parameters for global-scale models. 

Through the Big Earth Data Initiative (BEDI), ESRL/GMD has taken their data collection and converted files into NetCDF-4, a self-describing format.
DOI: 10.7289/v55x274d
title: Hurricane Satellite (HURSAT) from International Satellite Cloud Climatology Project (ISCCP) B1, Version 6

description: The Hurricane Satellite (HURSAT) from derived International Satellite Cloud Climatology Project (ISCCP) B1 observations of tropical cyclones worldwide. The B1 data are subsampled observations from the global constellation of geostationary satellites (GOES, Meteosat, GMS, and FY2 series) spanning 1978 through to present year. The data include infrared window, visible and other channels available from the satellite instruments. IBTrACS (International Best Track Archive for Climate Stewardship) best track locations of all global tropical cyclones were temporally interpolated to match the satellite data resolution. The satellite data were then gridded to 8km, with grid centers fixed on the tropical cyclone center of circulation at 3-hour intervals. Data are provided in a convenient NetCDF format which is self-documenting and follows standard storage and metadata conventions. HURSAT version 6 also contains information about the image derived from storm centering algorithms including ARCHER [Wimmer's SSEC algorithm] and the axisymmetric technique. Azimuthal statistics derived from these positions are also provided. Version 6 supersedes all other HURSAT B1 versions.
DOI: 10.15468/dl.5q3ysf
title: Occurrence Download

description: A dataset containing 488821 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Aegopodium podagraria L.)"
 ]
}

 The dataset includes 488821 records from 1339 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020294-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p7237b
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Coenogonium pusillum (Mont.) Lücking, Aptroot & Sipman"
 ]
}

 The dataset includes 6 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0396060-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ctfhcq
title: Occurrence Download

description: A dataset containing 54704 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation, Living Specimen)",
 "Continent is South America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Issue is Continent derived from coordinates",
 "OccurrenceStatus is Present",
 "TaxonKey is Ramphastos tucanus Linnaeus, 1758",
 "Year 1980-2023"
 ]
}

 The dataset includes 54704 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0132840-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ln2zop
title: Occurrence Download

description: A dataset containing 197 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Guatemala",
 "DatasetKey is Actualización de la Colección de Artrópodos con importancia médica (CAIM), Laboratorio de Entomología, InDRE"
 ]
}

 The dataset includes 197 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008929-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6qa4bv
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Erythroseris N.Kilian & Gemeinholzer"
 ]
}

 The dataset includes 16 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0214659-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9ckuqw
title: Occurrence Download

description: A dataset containing 741 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Parascyllium ferrugineum McCulloch, 1911"
 ]
}

 The dataset includes 741 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029432-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m2x46p
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ceratostylis simplex Blume"
 ]
}

 The dataset includes 21 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0132876-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.he8sad
title: Occurrence Download

description: A dataset containing 137 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Observation",
 "BasisOfRecord is Machine Observation",
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Occurrence evidence"
 ]
 },
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Gallicrex cinerea (Gmelin, 1789)",
 "Year 1972-2022"
 ]
}

 The dataset includes 137 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0272931-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.