cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.946606
title: Seagrass meadows derived from field to spaceborne earth observation at Midge Point, a coastal habitat in the central section of the Great Barrier Reef, September/October 2017

description: Seagrass meadow extent and meadow-scape was mapped using three alternative approaches at Midge Point, a coastal turbid water habitat, in the central section of the Great Barrier Reef, in September/October 2017. Approach 1 included mapping meadow boundaries and meadow-scape (including patches and scars) during low spring tides on foot within two sites (MP2 andMP3, each 5.5 hectare in area) using a handheld Garmin GPSMap 64s (accuracy ±1.5–3 m) on the 17 September 2017. Approach 2 was where the meadows were surveyed at low tide with observations from a helicopter (Robinson R44) on the 17 October 2017. The boundaries of the meadows were delineated by on-board observers and tracked by helicopter (at 25 ±5 m altitude) using the tracks setting on a handheld Garmin GPSMap 64s. Within these meadows, observational spot-check data was collected at an altitude of 1–2 m above the substrate, from three haphazard placements of a 0.25 m2 quadrat out the side of the helicopter at a number haphazardly scattered points (10 m2). Approach 3 used PlanetScope Dove imagery captured on 09 October 2017 coinciding as close as possible to the field-surveys, with 3.7 m x 3.7 m pixels (nadir viewing) acquired from the PlanetScope archive.For Approach 1, fine-scale meadow-scape boundaries (patches or scars within 5.5 hectare area) were mapped for each site using the imported GPS track to create a polyline which was then smoothed using the B-spline algorithm and saved as a polygon. In Approach 2, meso-scale seagrass meadow boundaries were mapped from the GPS tracks and by on-screen interpolation based on geolocated spot-checks, field notes, and geotagged oblique aerial photographs acquired from the helicopter. For Approach 3, we created spatially explicit seagrass maps from PlanetScope Dove imagery, and conducted the classification using a machine-learning model (Random Forest) coupled with a Boot-strapping process (100 iterations). The final model predictions were then gathered into separate rasters, based on Bootstrap Probability thresholds of 60% and 100%. The final rasters were cleaned using a majority filter algorithm, to eliminate stray pixel predictions using a moving window between 3 and 9 pixels depending on the size of the imagery.
DOI: 10.1594/pangaea.946948
title: Soil nitrogen isotope database

description: This dataset comprises a compilation of soil bulk delta-15-N nitrogen isotopic composition that has been measured and/or published since the compilation of d15N data by Craine et al. (2015; doi:10.1007/s11104-015-2542-1; doi:10.1038/srep08280). The data was measured by the data owner / contact indicated in the dataset. All data remains the property of the listed owner but may be used for non-commercial purposes. In the case of significant use of this data for scientific research, please cite this dataset as well as the associated publication(s) and consider contacting data owners to offer co-authorship where relevant. Project: Identifying drivers of N2O emissions in a changing climate (https://www.oecd.org/agriculture/crp/fellowships/). Award: OECD Cooperative Research Program for Sustainable Agricultural and Food Systems (OECD-CRP) grant.
DOI: 10.15468/dl.7gmrhs
title: Occurrence Download

description: A dataset containing 3793 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-41.10391 -21.43454,-41.06272 -21.43454,-41.06272 -21.36009,-41.10391 -21.36009,-41.10391 -21.43454))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 3793 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0113930-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.946950
title: Annual arable land and permanent agriculture extent in Southern Greece from 1986-2020, derived from Landsat and LUCAS data

description: This dataset consists of 30 m spatial resolution arable land and permanent agriculture maps for Southern Greece for the period 1986-2020. For this dataset, arable lands are defined as areas where seasonal crops are planted and are typically harvested and tilled at least once a year. Arable land includes cereal crops, root crops, non-permanent industrial crops, dry pulses, vegetables and flowers, and fodder crops. Permanent agriculture is defined as areas with permanent crops including fruit trees, olive groves and vineyards. Mapped regions include Attica, the Peloponnese peninsula, and Crete. Ground observations derived from the European Union statistical office (EUROSTAT) Land Use/Cover Area frame Survey (LUCAS) and Landsat spectral-temporal metrics were used to train a Random Forest classifier, which was used to classify arable land and permanent agriculture at annual time steps. A post-processing step was taken to reduce spurious landcover class transitions using a Hidden Markov Model that accounts for landcover class transition likelihoods and annual class membership likelihoods.
description: The data is distributed in two zip files containing 35, 13128 x 19469 pixel files, each representing a single year in the 1986-2020 time series. Files are in GeoTiff format using a geographic coordinate system (Latitude and Longitude) based on the World Geodetic System (WGS84) reference ellipsoid. Spatial resolution is 0.00026° per pixel (approximately 30 m). Filename convention is as follows: Landcover_4classes_YYYY.tif, where YYYY is the map year. Each pixel is classified as one of the following classes: 1 - Arable land2 - Permanent agriculture3 - Natural vegetation (herbaceous, shrubland, forest)4 - Other (artificial surfaces, bare ground, inland water)Further information on classes and mapping methodology can be found in the referenced article.
DOI: 10.1594/pangaea.946951
title: Radiosonde raw data from Neumayer Station (2021-11), links to files

description: The meteorological observatory Neumayer typically launches one radiosonde per day around 12UTC. At least weekly the sonde has an ozone sensor attached. Sondes are released from the roof of the station building. The measurement interval of the raw data is typically 1s. All data published here is left as recorded, no quality control was applied.
description: Data files were produced by a proprietary radiosounding system from Vaisala. The format is referred to as "mwx". Technically, the files are zip files comprising several xml-documents.
DOI: 10.1594/pangaea.946955
title: Radiosonde raw data from Neumayer Station (2021-12), links to files

description: The meteorological observatory Neumayer typically launches one radiosonde per day around 12UTC. At least weekly the sonde has an ozone sensor attached. Sondes are released from the roof of the station building. The measurement interval of the raw data is typically 1s. All data published here is left as recorded, no quality control was applied.
description: Data files were produced by a proprietary radiosounding system from Vaisala. The format is referred to as "mwx". Technically, the files are zip files comprising several xml-documents.
DOI: 10.1594/pangaea.946956
title: Radiosonde raw data from Neumayer Station (2022-01), links to files

description: The meteorological observatory Neumayer typically launches one radiosonde per day around 12UTC. At least weekly the sonde has an ozone sensor attached. Sondes are released from the roof of the station building. The measurement interval of the raw data is typically 1s. All data published here is left as recorded, no quality control was applied.
description: Data files were produced by a proprietary radiosounding system from Vaisala. The format is referred to as "mwx". Technically, the files are zip files comprising several xml-documents.
DOI: 10.15468/dl.79qvp7
title: Occurrence Download

description: A dataset containing 8854 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "MediaType is Image",
 "ScientificName is Lotus corniculatus L."
 ]
}

 The dataset includes 8854 records from 133 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0307815-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ftjyx4
title: Occurrence Download

description: A dataset containing 85 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acacia simplex (Sparrm.) Pedley",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 85 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001166-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.947620
title: Regional climate model simulations (CCLM 5km) for 2017-2020 at Cape Baranova (Severnaya Zemlya, Siberia)

description: Measurements of the atmospheric boundary layer (ABL) structure for three years (Oct. 2017 – Aug. 2020) were performed at the Russian observatory “Ice Base Cape Baranova” (79.280°N, 101.620°E). ABL measurements were used for verification of the regional climate model COSMO-CLM (CCLM) with 5 km resolution for 2017-2020. CCLM was run with nesting in ERA5 data in a forecast mode for the measurement period. Model output is available every 1h. In the vertical, the model extends up to 22 km with 60 vertical levels. The observatory is located on Bolshevik Island, which is the southernmost island of the Severnaya Zemlya Archipelago. Flow channeling during conditions of a stable boundary layer occur due to the topography on both sides of Shokalsky Strait between Bolshevik Island and October Revolution Island. For more details and the exact description of the methods see Heinemann et al. (2022).
DOI: 10.15468/dl.2ds9jh
title: Occurrence Download

description: A dataset containing 1408503 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Madagascar",
 "Year 1985-2023"
 ]
}

 The dataset includes 1408503 records from 864 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0113915-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rg3r97
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cystotheca lanestris (Harkn.) Miyabe",
 {
 "not" : {
 "DatasetKey" : [
 "is Global database of alien macrofungi"
 ]
 }
 },
 {
 "or" : [
 "Country is Poland",
 "Country is Poland"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0394773-210914110416597/datasets/export for details.
DOI: 10.15468/dl.ddvude
title: Occurrence Download

description: A dataset containing 92 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Conraua robusta Nieden, 1908"
 ]
}

 The dataset includes 92 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0307821-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.867f8g
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Calanthe micrantha Schltr."
 ]
}

 The dataset includes 36 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0113936-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.946484
title: Ceilometer raw data measured at Neumayer Station (2021-02), links to files

description: The meteorological observatory Neumayer continuously operates a ceilometer to monitor cloud ceiling above the station. The instrument is mounted on the roof of the station building. Besides autodetected cloud levels the instrument records backscatter profiles of the laser beam. This dataset contains the full raw data from the instrument. The measurement interval is typically 3 to 4 times per minute. All data published here is left "as recorded", no quality control was applied.
description: The ceilometer is mounted on the roof of the station building, the height offset was set to 25m. This offset only affects the detected cloud levels, not the full backscatter profile. All files contained in this dataset are zip compressed text files.
DOI: 10.1594/pangaea.946485
title: Ceilometer raw data measured at Neumayer Station (2021-03), links to files

description: The meteorological observatory Neumayer continuously operates a ceilometer to monitor cloud ceiling above the station. The instrument is mounted on the roof of the station building. Besides autodetected cloud levels the instrument records backscatter profiles of the laser beam. This dataset contains the full raw data from the instrument. The measurement interval is typically 3 to 4 times per minute. All data published here is left "as recorded", no quality control was applied.
description: The ceilometer is mounted on the roof of the station building, the height offset was set to 25m. This offset only affects the detected cloud levels, not the full backscatter profile. All files contained in this dataset are zip compressed text files.
DOI: 10.15468/dl.8pepaw
title: Occurrence Download

description: A dataset containing 716 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Plateforme AUVERGNE-DREAL Auvergne-Enquête DREAL Auvergne Ecrevisses"
 ]
}

 The dataset includes 716 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011220-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.946486
title: Ceilometer raw data measured at Neumayer Station (2021-04), links to files

description: The meteorological observatory Neumayer continuously operates a ceilometer to monitor cloud ceiling above the station. The instrument is mounted on the roof of the station building. Besides autodetected cloud levels the instrument records backscatter profiles of the laser beam. This dataset contains the full raw data from the instrument. The measurement interval is typically 3 to 4 times per minute. All data published here is left "as recorded", no quality control was applied.
description: The ceilometer is mounted on the roof of the station building, the height offset was set to 25m. This offset only affects the detected cloud levels, not the full backscatter profile. All files contained in this dataset are zip compressed text files.
DOI: 10.1594/pangaea.946487
title: Ceilometer raw data measured at Neumayer Station (2021-05), links to files

description: The meteorological observatory Neumayer continuously operates a ceilometer to monitor cloud ceiling above the station. The instrument is mounted on the roof of the station building. Besides autodetected cloud levels the instrument records backscatter profiles of the laser beam. This dataset contains the full raw data from the instrument. The measurement interval is typically 3 to 4 times per minute. All data published here is left "as recorded", no quality control was applied.
description: The ceilometer is mounted on the roof of the station building, the height offset was set to 25m. This offset only affects the detected cloud levels, not the full backscatter profile. All files contained in this dataset are zip compressed text files.
DOI: 10.15468/dl.t4gejw
title: Occurrence Download

description: A dataset containing 151 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gastrotheca argenteovirens (Boettger, 1892)"
 ]
}

 The dataset includes 151 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0309689-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.946488
title: Ceilometer raw data measured at Neumayer Station (2021-06), links to files

description: The meteorological observatory Neumayer continuously operates a ceilometer to monitor cloud ceiling above the station. The instrument is mounted on the roof of the station building. Besides autodetected cloud levels the instrument records backscatter profiles of the laser beam. This dataset contains the full raw data from the instrument. The measurement interval is typically 3 to 4 times per minute. All data published here is left "as recorded", no quality control was applied.
description: The ceilometer is mounted on the roof of the station building, the height offset was set to 25m. This offset only affects the detected cloud levels, not the full backscatter profile. All files contained in this dataset are zip compressed text files.
DOI: 10.1594/pangaea.946490
title: Ceilometer raw data measured at Neumayer Station (2021-07), links to files

description: The meteorological observatory Neumayer continuously operates a ceilometer to monitor cloud ceiling above the station. The instrument is mounted on the roof of the station building. Besides autodetected cloud levels the instrument records backscatter profiles of the laser beam. This dataset contains the full raw data from the instrument. The measurement interval is typically 3 to 4 times per minute. All data published here is left "as recorded", no quality control was applied.
description: The ceilometer is mounted on the roof of the station building, the height offset was set to 25m. This offset only affects the detected cloud levels, not the full backscatter profile. All files contained in this dataset are zip compressed text files.
DOI: 10.1594/pangaea.946491
title: Ceilometer raw data measured at Neumayer Station (2021-08), links to files

description: The meteorological observatory Neumayer continuously operates a ceilometer to monitor cloud ceiling above the station. The instrument is mounted on the roof of the station building. Besides autodetected cloud levels the instrument records backscatter profiles of the laser beam. This dataset contains the full raw data from the instrument. The measurement interval is typically 3 to 4 times per minute. All data published here is left "as recorded", no quality control was applied.
description: The ceilometer is mounted on the roof of the station building, the height offset was set to 25m. This offset only affects the detected cloud levels, not the full backscatter profile. All files contained in this dataset are zip compressed text files.
DOI: 10.15468/dl.b598wu
title: Occurrence Download

description: A dataset containing 1426 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acacia heterophylla (Lam.) Willd.",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1426 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0113938-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.946492
title: Ceilometer raw data measured at Neumayer Station (2021-09), links to files

description: The meteorological observatory Neumayer continuously operates a ceilometer to monitor cloud ceiling above the station. The instrument is mounted on the roof of the station building. Besides autodetected cloud levels the instrument records backscatter profiles of the laser beam. This dataset contains the full raw data from the instrument. The measurement interval is typically 3 to 4 times per minute. All data published here is left "as recorded", no quality control was applied.
description: The ceilometer is mounted on the roof of the station building, the height offset was set to 25m. This offset only affects the detected cloud levels, not the full backscatter profile. All files contained in this dataset are zip compressed text files.
DOI: 10.1594/pangaea.946493
title: Ceilometer raw data measured at Neumayer Station (2021-10), links to files

description: The meteorological observatory Neumayer continuously operates a ceilometer to monitor cloud ceiling above the station. The instrument is mounted on the roof of the station building. Besides autodetected cloud levels the instrument records backscatter profiles of the laser beam. This dataset contains the full raw data from the instrument. The measurement interval is typically 3 to 4 times per minute. All data published here is left "as recorded", no quality control was applied.
description: The ceilometer is mounted on the roof of the station building, the height offset was set to 25m. This offset only affects the detected cloud levels, not the full backscatter profile. All files contained in this dataset are zip compressed text files.
DOI: 10.1594/pangaea.946494
title: Ceilometer raw data measured at Neumayer Station (2021-11), links to files

description: The meteorological observatory Neumayer continuously operates a ceilometer to monitor cloud ceiling above the station. The instrument is mounted on the roof of the station building. Besides autodetected cloud levels the instrument records backscatter profiles of the laser beam. This dataset contains the full raw data from the instrument. The measurement interval is typically 3 to 4 times per minute. All data published here is left "as recorded", no quality control was applied.
description: The ceilometer is mounted on the roof of the station building, the height offset was set to 25m. This offset only affects the detected cloud levels, not the full backscatter profile. All files contained in this dataset are zip compressed text files.
DOI: 10.1594/pangaea.946495
title: Ceilometer raw data measured at Neumayer Station (2021-12), links to files

description: The meteorological observatory Neumayer continuously operates a ceilometer to monitor cloud ceiling above the station. The instrument is mounted on the roof of the station building. Besides autodetected cloud levels the instrument records backscatter profiles of the laser beam. This dataset contains the full raw data from the instrument. The measurement interval is typically 3 to 4 times per minute. All data published here is left "as recorded", no quality control was applied.
description: The ceilometer is mounted on the roof of the station building, the height offset was set to 25m. This offset only affects the detected cloud levels, not the full backscatter profile. All files contained in this dataset are zip compressed text files.
DOI: 10.15468/dl.apehkt
title: Occurrence Download

description: A dataset containing 875 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Protea cynaroides (L.) L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 875 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011212-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.