cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7289/v5707zfb
title: Atka, Alaska Tsunami Forecast Grids for MOST Model

description: The Atka, Alaska Forecast Grids provides bathymetric data strictly for tsunami inundation modeling with the Method of Splitting Tsunami (MOST) model. MOST is a suite of numerical simulation codes capable of simulating three processes of tsunami evolution: generation, transoceanic propagation, and inundation of dry land. Tsunami waves are computationally propagated across a set of three nested grids (A, B, and C), each of which is successively finer in resolution, moving from offshore to onshore. Nearshore details are resolved to the point that model output can be directly compared with tide gauge observations and can provide estimates of wave arrival time, wave amplitude and simulation of wave inundation onto dry land. A Grid Resolution: 72 arc-sec in x direction, 45 arc-sec in y direction. B Grid Resolution: 30 arc-sec in x direction, 18 arc-sec in y direction. C Grid Resolution: 2.4 arc-sec in x direction, 1.5 arc-sec in y direction.
DOI: 10.7289/v5tq5zjf
title: Chignik, Alaska Tsunami Forecast Grids for MOST Model

description: The Chignik, Alaska Forecast Grids provides bathymetric data strictly for tsunami inundation modeling with the Method of Splitting Tsunami (MOST) model. MOST is a suite of numerical simulation codes capable of simulating three processes of tsunami evolution: generation, transoceanic propagation, and inundation of dry land. Tsunami waves are computationally propagated across a set of three nested grids (A, B, and C), each of which is successively finer in resolution, moving from offshore to onshore. Nearshore details are resolved to the point that model output can be directly compared with tide gauge observations and can provide estimates of wave arrival time, wave amplitude and simulation of wave inundation onto dry land. A Grid Resolution: 108 arc-sec in x direction, 72 arc-sec in y direction. B Grid Resolution: 17.9 arc-sec in x direction, 11.9 arc-sec in y direction. C Grid Resolution: 2 arc-sec in x direction, 1 arc-sec in y direction.
DOI: 10.15468/dl.hehf5k
title: Occurrence Download

description: A dataset containing 80 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Brachythrix glomerata (Mattf.) C.Jeffrey"
 ]
}

 The dataset includes 80 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020326-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7289/v5q23x7r
title: Cordova, Alaska Tsunami Forecast Grids for MOST Model

description: The Cordova, Alaska Forecast Grids provides bathymetric data strictly for tsunami inundation modeling with the Method of Splitting Tsunami (MOST) model. MOST is a suite of numerical simulation codes capable of simulating three processes of tsunami evolution: generation, transoceanic propagation, and inundation of dry land. Tsunami waves are computationally propagated across a set of three nested grids (A, B, and C), each of which is successively finer in resolution, moving from offshore to onshore. Nearshore details are resolved to the point that model output can be directly compared with tide gauge observations and can provide estimates of wave arrival time, wave amplitude and simulation of wave inundation onto dry land. A Grid Resolution: 60 arc-sec in x direction, 30 arc-sec in y direction. B Grid Resolution: 12 arc-sec in x direction, 6 arc-sec in y direction. C Grid Resolution: 4 arc-sec in x direction, 2 arc-sec in y direction.
DOI: 10.15468/dl.dbbuux
title: Occurrence Download

description: A dataset containing 117 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Prosthechea moojenii (Pabst) W.E.Higgins"
 ]
}

 The dataset includes 117 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020327-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7289/v5k935jv
title: Craig, Alaska Tsunami Forecast Grids for MOST Model

description: The Craig, Alaska Forecast Grids provides bathymetric data strictly for tsunami inundation modeling with the Method of Splitting Tsunami (MOST) model. MOST is a suite of numerical simulation codes capable of simulating three processes of tsunami evolution: generation, transoceanic propagation, and inundation of dry land. Tsunami waves are computationally propagated across a set of three nested grids (A, B, and C), each of which is successively finer in resolution, moving from offshore to onshore. Nearshore details are resolved to the point that model output can be directly compared with tide gauge observations and can provide estimates of wave arrival time, wave amplitude and simulation of wave inundation onto dry land. A Grid Resolution: 120 arc-sec. B Grid Resolution: 15 arc-sec. C Grid Resolution: 3 arc-sec.
DOI: 10.15468/dl.jz5jj3
title: Occurrence Download

description: A dataset containing 1528 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Teucrium vesicarium Mill.)"
 ]
}

 The dataset includes 1528 records from 118 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020328-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7289/v5zg6q7q
title: Bermuda Tsunami Forecast Grids for MOST Model

description: The Bermuda Forecast Model Grids provides bathymetric data strictly for tsunami inundation modeling with the Method of Splitting Tsunami (MOST) model. MOST is a suite of numerical simulation codes capable of simulating three processes of tsunami evolution: generation, transoceanic propagation, and inundation of dry land. Tsunami waves are computationally propagated across a set of three nested grids (A, B, and C), each of which is successively finer in resolution, moving from offshore to onshore. Nearshore details are resolved to the point that model output can be directly compared with tide gauge observations and can provide estimates of wave arrival time, wave amplitude and simulation of wave inundation onto dry land. A Grid Resolution: 36 arc-sec in x direction. 30 arc-sec in y direction. B Grid Resolution: 10.8 arc-sec in x direction. 3 arc-sec in y direction. C Grid Resolution: 3.6 arc-sec in x direction. 3 arc-sec in y direction.
DOI: 10.7289/v5gh9fzz
title: Arecibo, Puerto Rico Tsunami Forecast Grids for MOST Model

description: The Arecibo, Puerto Rico Forecast Model Grids provides bathymetric data strictly for tsunami inundation modeling with the Method of Splitting Tsunami (MOST) model. MOST is a suite of numerical simulation codes capable of simulating three processes of tsunami evolution: generation, transoceanic propagation, and inundation of dry land. Tsunami waves are computationally propagated across a set of three nested grids (A, B, and C), each of which is successively finer in resolution, moving from offshore to onshore. Nearshore details are resolved to the point that model output can be directly compared with tide gauge observations and can provide estimates of wave arrival time, wave amplitude and simulation of wave inundation onto dry land. A Grid Resolution: 47.25 arc-sec in x direction. 45 arc-sec in y direction. B Grid Resolution: 6 arc-sec. C Grid Resolution: 2 arc-sec.
DOI: 10.7289/v5br8q66
title: Arena Cove, California Tsunami Forecast Grids for MOST Model

description: The Arena Cove, California Forecast Grids provides bathymetric data strictly for tsunami inundation modeling with the Method of Splitting Tsunami (MOST) model. MOST is a suite of numerical simulation codes capable of simulating three processes of tsunami evolution: generation, transoceanic propagation, and inundation of dry land. Tsunami waves are computationally propagated across a set of three nested grids (A, B, and C), each of which is successively finer in resolution, moving from offshore to onshore. Nearshore details are resolved to the point that model output can be directly compared with tide gauge observations and can provide estimates of wave arrival time, wave amplitude and simulation of wave inundation onto dry land. A Grid Resolution: 60 arc-sec. B Grid Resolution: 24 arc-sec in x direction and 18 arc-sec in y direction. C Grid Resolution: 2 arc-sec in x direction and 1.5 arc-sec in y direction.
DOI: 10.7289/v5wq01s4
title: NOAA Climate Data Record (CDR) of Atmospheric Layer Temperatures, Version 3.3 (Version Superseded)

description: *Note: This dataset version has been superseded by a newer version. It is highly recommended that users access the current version. Users should only use this version for special cases, such as reproducing studies that used this version.* The Atmospheric Layer Temperature Climate Data Record (CDR) dataset is a monthly analysis of the tropospheric and stratospheric data using temperature sounding microwave radiometers flown on polar-orbiting weather satellites providing an important record of upper atmosphere temperatures by merging data from the older Microwave Sounding Unit (MSU) and the new Advanced Microwave Sounding Units (AMSUs). The instruments measure the brightness temperature (Tb) for each channel and corresponds to an average temperature of the atmosphere averaged over that channel's weighting function. Global average and global anomaly maps on a 2.5 x 2.5 degree resolution are produced from each month's data from both the MSU and the AMSU for over a 31 year period (1978-2011) for each channel (layer); the Temperature Lower Troposphere (TLT); the Temperature Middle Troposphere (TMT); the Temperature Troposphere/Stratosphere (TTS) ; the Temperature Lower Stratosphere (TLS). UAT 4 Layer MW data is important to continue into the future to ensure the existence of a high-quality record of atmospheric temperatures for climate change detection and climate model verification activities. The data are available in netCDF-4 file format with variables containing standard deviation, quality flags, and projection information and will be updated monthly.
DOI: 10.7289/v5bc3whm
title: NOAA Climate Data Record (CDR) of AVHRR Polar Pathfinder (APP) Cryosphere Verison 1.0 (Version Superseded)

description: *Note: This dataset version has been superseded by a newer version. It is highly recommended that users access the current version. Users should only use this version for special cases, such as reproducing studies that used this version.* This NOAA Climate Data Record (CDR) contains the AVHRR Polar Pathfinder (APP) product. APP is a fundamental CDR comprised of calibrated and navigated AVHRR channel data (reflectances and brightness temperatures), viewing and illumination geometry (sensor scan angle, solar zenith angle, and sun-sensor relative azimuth angle), Universal Coordinated Time (UTC) of the data acquisition, and a surface type mask. The data are twice daily composites of up to 23 orbits on a 5 km Equal-Area Scalable Earth (EASE)-Grid twice daily over both poles, the Arctic and Antarctic, from 1982 to the present. The daily APP composites are centered on local solar times of 14:00 (high sun, but could be nighttime for some polar areas in winter) and 04:00 for the Arctic or 02:00 for the Antarctic. The APP covers the north polar region (Arctic) from 48.4 degrees northward, and the south polar region (Antarctic) from -53.2 degrees southward.
DOI: 10.7289/v5xp72xz
title: NOAA Climate Data Record for Mean Layer Temperature (Lower Stratosphere) from UCAR, Version 2

description: The Temperatures in the Lower Stratosphere (TLS) (AMSU channel 9 and MSU channel 4) CDR is generated by using National Oceanic and Atmospheric Administration (NOAA), National Aeronautics and Space Administration (NASA), and Europe METeorological Operational satellite-A (Metop/A) satellites which have been calibrated using coincident Global Positioning System (GPS) Radio Occultation (RO) temperature profile measurements from Constellation Observing System for Meteorology, Ionosphere, and Climate (COSMIC) and Challenging Mini-satellite Payload (CHAMP), and Gravity Recovery And Climate Experiment (GRACE) from 2001 to the current. The 'adjusted' MSU/AMSU data in the period of 2001 to 2014 were used as reference data to calibrate other overlapped MSU/AMSU data from 1980 to 2001.
DOI: 10.7289/v52f7kfq
title: NOAA Climate Data Record for Mean Layer Temperature (Upper Troposphere & Lower Stratosphere) from UCAR, Version 2

description: The Temperatures of Troposphere / Stratosphere (TTS) (AMSU channel 7 and MSU channel 3) CDR is generated by using National Oceanic and Atmospheric Administration (NOAA) and Europe METeorological Operational satellite-A (Metop/A) satellites. High quality radiosonde observations (RAOBs) identified by coincident Global Positioning System (GPS) Radio Occultation (RO) temperature profile measurements from Constellation Observing System for Meteorology, Ionosphere, and Climate (COSMIC) and Challenging Mini-satellite Payload (CHAMP) are used to calibrate the AMSU channel 7 measurements from multiple NOAA and Metop-A missions. The calibrated AMSU TTS from 2001 to 2014 are then used to calibrate MSU TTS in the same time period and then the calibrated MSU TTS are used to calibrate those overlapped MSU TTS from 1980 to 2001.
DOI: 10.7289/v5mk69w6
title: NOAA Climate Data Record (CDR) of AVHRR Polar Pathfinder Extended (APP-X) Cryosphere, Version 1 (Version Superseded)

description: *Note: This dataset version has been superseded by a newer version. It is highly recommended that users access the current version. Users should only use this version for special cases, such as reproducing studies that used this version.* NOAA Climate Data Record (CDR) of the extended AVHRR Polar Pathfinder (APP-x) cryosphere contains 19 geophysical variables over the Arctic and Antarctic for the period 1982 - present. All of them have undergone various degrees of validation, though not all are considered CDR quality. The variables are (those considered by the developers to be CDR-quality are identified with an asterisk): Surface temperature, all-sky, snow, ice, and land* Surface albedo, all-sky* Sea ice thickness* Surface type Cloud mask* Cloud particle thermodynamic phase Cloud optical depth Cloud particle effective radius Cloud temperature Cloud pressure Cloud type Downwelling shortwave radiation at the surface* Downwelling longwave radiation at the surface* Upwelling shortwave radiation at the surface* Upwelling longwave radiation at the surface* Upwelling shortwave radiation at the TOA* Upwelling longwave radiation at the TOA* Shortwave cloud radiative forcing at the surface Longwave cloud radiative forcing at the surface APP-x data products are mapped to a 25 km EASE grid at two local solar times: 04:00 and 14:00 for the Arctic, and 02:00 and 14:00 for the Antarctica. Using local solar time rather than standard UTC times provides better information on diurnal differences at all locations.
DOI: 10.7289/v57m05xn
title: Archive of Geosample Information from Scientific Ocean Drilling

description: Texas A and M University (TAMU), JOIDES Resolution Science Operator of the International Ocean Discovery Program (IODP), is a partner in the Index to Marine and Lacustrine Geological Samples (IMLGS) database, contributing information to the IMLGS to help researchers discover geological samples curated in their facility. The IODP core repositories archive and make available core material from the current IODP, and also from its predecessor programs, the Deep Sea Drilling Project (DSDP), Ocean Drilling Program (ODP), and Integrated Ocean Drilling Program (IODP). Core material is available to researchers through the IODP Curator. TAMU also contributed information to the IMLGS describing cores from the former IODP and ODP in their role as Science Operator for those programs. Information describing DSDP cores for the IMLGS was prepared by the former DSDP data management group operated by the Scripps Institution of Oceanography (SIO). TAMU periodically sends post-moratorium IODP core data, documents, and imagery to NCEI for long-term archive. The latest IODP data, and full-resolution TIFF images are available from the Data Librarian at TAMU. Full-resolution TIFF images in the NCEI archive are offline only.
DOI: 10.7289/v55t3hgj
title: Archive of Geosample Data and Information from the U.S. Geological Survey (USGS) Coastal and Marine Geology Program (CMGP) Pacific Coastal and Marine Science Center (PCMSC) Samples Repository

description: The U.S. Geological Survey Coastal and Marine Geology Program (CMGP) Pacific Coastal and Marine Science Center (PCMSC) Samples Repository is a partner in the Index to Marine and Lacustrine Geological Samples (IMLGS) database. The Curator sends data and information related to the PCMSC marine geological sample collection to NCEI to increase their discoverability via the IMLGS. Selected data, documents, and images related to the collection are also archived at NCEI and discoverable via the IMLGS, but the USGS is the authoritative source for all data and information related to USGS geological samples.
DOI: 10.7289/v5x92887
title: Archive of Geosample Data and Information from the U.S. Geological Survey (USGS) Coastal and Marine Geology Program (CMGP) Woods Hole Coastal and Marine Science Center (WHCMSC) Samples Repository

description: The U.S. Geological Survey Coastal and Marine Geology Program (CMGP) Woods Hole Coastal and Marine Science Center (WHCMSC) Samples Repository is a partner in the Index to Marine and Lacustrine Geological Samples (IMLGS) database. The Curator sends data and information related to the WHCMSC marine geological sample collection to NCEI to increase their discoverability via the IMLGS. Selected data, documents, and images related to the collection are also archived at NCEI and discoverable via the IMLGS, but the USGS is the authoritative source for all data and information related to USGS geological samples.
DOI: 10.7289/v5th8jpb
title: Archive of Geosample Data and Information from the Oregon State University (OSU) College of Earth, Ocean, and Atmospheric Sciences (CEOAS) Marine and Geology Repository (MGR)

description: The Oregon State University Marine and Geology Repository (OSU-MGR) is a partner in the Index to Marine and Lacustrine Geological Samples (IMLGS) database, contributing information to the IMLGS to help researchers discover geological samples curated in their facility. The partner repository sends related data, documents, and imagery to NCEI for long-term archive, but the originating institution is the definitive source of information related to their sample collection. The OSU-MGR is located in the College of Earth, Ocean, and Atmospheric Sciences (CEOAS). It is a National Science Foundation (NSF) supported curation facility for marine rock and sediment samples. The facility contains over 10,900 square feet of refrigerated space and a 550 square foot walk in freezer of -20 degrees F cold storage and is well equipped for preservation and distribution of marine geological samples for scientific research and education.
DOI: 10.34740/kaggle/dsv/8440538
title: COVID Vaccination in World (updated daily)
DOI: 10.7289/v5g73bp3
title: Archive of Geosample Data and Information from the University of Minnesota National Lacustrine Core Repository (LacCore)

description: The National Lacustrine Core Repository (LacCore), operated by the University of Minnesota
 is a partner in the Index to Marine and Lacustrine Geological Samples (IMLGS) database, contributing 
 information to the IMLGS to help researchers discover geological samples curated in their facility.
 The partner repository also sends related data, documents, and imagery to NCEI for long-term archive, 
 but the originating institution is the definitive source of information related to their sample collection. 
 LacCore has operated the National Lacustrine Core Repository since 2000, and now curates the world's largest 
 and most diverse collection of lacustrine sediment cores. The biggest contributors (by core volume) are drilling projects, 
 but small-volume projects outnumber the drilling campaigns by a factor of nearly 50. The vast majority of the curated 
 materials are moist, cylindrical cores split in half, but unsplit cores, grab samples, dry cores, and a rapidly-growing 
 number of rock cores, peat cores, freeze cores and permafrost cores round out the collection. 
 The Repository also curates unused subsamples and sample residues for re-distribution and analysis. 
 In addition to these physical holdings, LacCore captures metadata for all materials moving through the Facility; 
 thus cores processed at LacCore but stored at other institutions are integrated among the physical holdings for 
 the purpose of data discovery.
DOI: 10.7289/v5cf9n3m
title: Archive of Geosample Data and Information from the Rosenstiel School of Marine and Atmospheric Science (RSMAS) Department of Marine Geosciences

description: The Rosenstiel School of Marine and Atmospheric Science (RSMAS) Department of Marine Geosciences made a one-time contribution of
 data describing geological samples in their repository collected from 1957 to 1976 to the Index to Marine and Lacustrine Geological Samples (IMLGS) database. 
 Information was contributed on 1098 gravity cores, 365 piston cores, and 317 dredges collected on 86 cruises of the Columbus Iselin, Gerda, Halimeda,
 James M. Gillis, Pilsbury, NOAA Researcher, and Vicca, in the Atlantic Ocean.
DOI: 10.15468/dl.j66rtd
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Seychelles",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Coffea liberica Bull. ex Hiern"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020330-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7289/v5416v26
title: Archive of Geosample Information from the Universite de Savoie Laboratoire Environnements, Dynamiques et Territoires de la Montagne (EDYTEM) Core Repository

description: The Universite de Savoie Laboratoire Environnements, Dynamiques et Territoires de la Montagne (EDYTEM) is in the process of coding information about their marine and lacustrine geological sample collection for entry into the Index to Marine and Lacustrine Geological Samples (IMLGS). EDYTEM metadata in the IMLGS currently describe two piston cores collected September 10, 2001 from latitude 45.74747 north, longitude 5.84818 east during project ECCHYMOSE 2001 from Lake Bourget in France.
DOI: 10.7289/v5n014hr
title: Archive of Geosample Information from the British Ocean Sediment Core Research Facility (BOSCORF)

description: The British Ocean Sediment Core Research Facility (BOSCORF), National Oceanography Centre, is a contributor to the Index to Marine and Lacustrine Geological Samples (IMLGS) database. As a partner repository, BOSCORF sends information related to their sample collection to NCEI for discoverability via the IMLGS. Some related core photographs are also archived at NCEI. BOSCORF maintains a more complete archive of data and information related to their collection, searchable on their website.