cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.7rsn7m
title: Occurrence Download

description: A dataset containing 115384 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Struthioniformes"
 ]
}

 The dataset includes 115384 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001494-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2tfg9y
title: Occurrence Download

description: A dataset containing 75876 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nothofagus Blume",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 75876 records from 193 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001496-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rnc8z6
title: Occurrence Download

description: A dataset containing 160374 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tursiops truncatus (Montagu, 1821)"
 ]
}

 The dataset includes 160374 records from 819 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001484-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g6fdqa
title: Occurrence Download

description: A dataset containing 21249 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "TaxonKey is Gammarus tigrinus Sexton, 1939",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 21249 records from 94 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016938-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5t97r6
title: Occurrence Download

description: A dataset containing 316 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Spain, Austria, Slovenia, Greece, Switzerland, Albania, Italy, Croatia, Cyprus, Netherlands)",
 "DatasetKey is AIMSurv Aedes Invasive Mosquito species harmonized surveillance in Europe. AIM-COST Action",
 "TaxonKey is Culex pipiens Linnaeus, 1758"
 ]
}

 The dataset includes 316 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016939-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.869744
title: Kinematic GNSS profiles in central East Antarctica, K10A
DOI: 10.15468/dl.65fq9x
title: Occurrence Download

description: A dataset containing 617 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ctenotus vertebralis Rankin & Gillam, 1979)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 617 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033808-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.869745
title: Kinematic GNSS profiles in central East Antarctica, K10B
DOI: 10.1594/pangaea.869746
title: Kinematic GNSS profiles in central East Antarctica, K11A
DOI: 10.15468/dl.4rsmby
title: Occurrence Download

description: A dataset containing 136 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Zoysia minima (Colenso) Zotov",
 "HasCoordinate is true"
 ]
}

 The dataset includes 136 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081391-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.869747
title: Kinematic GNSS profiles in central East Antarctica, K11B
DOI: 10.1594/pangaea.869748
title: Kinematic GNSS profiles in central East Antarctica, K12A
DOI: 10.1594/pangaea.869749
title: Kinematic GNSS profiles in central East Antarctica, K12B
DOI: 10.1594/pangaea.869752
title: Kinematic GNSS profiles in central East Antarctica, K14A
DOI: 10.1594/pangaea.869754
title: Kinematic GNSS profiles in central East Antarctica, K15A
DOI: 10.1594/pangaea.869755
title: Kinematic GNSS profiles in central East Antarctica, K15B
DOI: 10.1594/pangaea.869756
title: Kinematic GNSS profiles in central East Antarctica, K13A
DOI: 10.1594/pangaea.869759
title: Kinematic GNSS profiles in central East Antarctica, K14B
DOI: 10.15468/dl.sdgjn3
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ctenotus superciliaris Rabosky, Hutchinson, Donnellan, Talaba & Lovette, 2014)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 26 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033717-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.869760
title: Kinematic GNSS profiles in central East Antarctica, K13B
DOI: 10.15468/dl.n7kazn
title: Occurrence Download

description: A dataset containing 132 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cerithidium perparvulum (R.B.Watson, 1886)"
 ]
}

 The dataset includes 132 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081371-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.889923
title: A new global GPS dataset for testing and improving modelled GIA uplift rates

description: We have produced a global dataset of ~4000 GPS vertical velocities that can be used as observational estimates of glacial isostatic adjustment (GIA) uplift rates. GIA is the response of the solid Earth to past ice loading, primarily, since the Last Glacial Maximum, about 20 K yrs BP. Modelling GIA is challenging because of large uncertainties in ice loading history and also the viscosity of the upper and lower mantle. GPS data contain the signature of GIA in their uplift rates but these also contain other sources of vertical land motion (VLM) such as tectonics, human and natural influences on water storage that can mask the underlying GIA signal. A novel fully-automatic strategy was developed to post-process the GPS time series and to correct for non-GIA artefacts. Before estimating vertical velocities and uncertainties, we detected outliers and jumps and corrected for atmospheric mass loading displacements. We corrected the resulting velocities for the elastic response of the solid Earth to global changes in ice sheets, glaciers, and ocean loading, as well as for changes in the Earth's rotational pole relative to the 20th century average. We then applied a spatial median filter to remove sites where local effects were dominant to leave approximately 4000 GPS sites. The resulting novel global GPS dataset shows a clean GIA signal at all post-processed stations and is suitable to investigate the behaviour of global GIA forward models. The results are transformed from a frame with its origin in the centre of mass of the total Earth's system (CM) into a frame with its origin in the centre of mass of the solid Earth (CE) before comparison with 13 global GIA forward model solutions, with best fits with Pur-6-VM5 and ICE-6G predictions. The largest discrepancies for all models were identified for Antarctica and Greenland, which may be due to either uncertain mantle rheology, ice loading history/magnitude and/or GPS errors.
description: Supplement to: Schumacher, Maike; King, Matt; Rougier, Jonathan C; Sha, Zhe; Khan, Shfaqat Abbas; Bamber, Jonathan L (2018): A new global GPS data set for testing and improving modelled GIA uplift rates. Geophysical Journal International, 214(3), 2164-2176
DOI: 10.1594/pangaea.894887
title: Forest plantation mapping in the Southern Highlands, Tanzania 2016: tentative training data set

description: Tentative forest plantation mapping training data set collected by the author team, September 2016, using Google Earth / Collect Earth software
DOI: 10.15468/dl.9sa7p8
title: Occurrence Download

description: A dataset containing 79 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ctenotus striaticeps Storr, 1978)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 79 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033693-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.894889
title: Forest plantation mapping in the Southern Highlands, Tanzania 2016: reference point data set

description: Reference point data set of Southern Highlands land use / land cover, collected in a participatory mapping event, Mapathon, in Tanzania, October 2016, using Google Earth / Collect Earth software, later used in the final forest plantation classification
DOI: 10.15468/dl.ec9pcg
title: Occurrence Download

description: A dataset containing 590 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dictyota crenulata J.Agardh"
 ]
}

 The dataset includes 590 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0109973-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.894890
title: Forest plantation mapping in the Southern Highlands, Tanzania 2016: validation dataset

description: Validation data set collected by the author team, November 2016, using Google Earth / Collect Earth software
DOI: 10.1594/pangaea.894891
title: Forest plantation mapping in the Southern Highlands, Tanzania 2016: validation dataset field

description: Validation data set collected by the author team in the field, November 2016
DOI: 10.1594/pangaea.896398
title: Subsurface temperature time series at REBIO Arvoredo, a marine insular MPA, and surroundings, at Southern Brazil

description: Temperature measures started in 2013 by the MAArE Project - Environmental Monitoring of Reserva Biológica Marinha do Arvoredo and Surroundings. The project was developed by a partnership between the Universidade Federal de Santa Catarina (UFSC) and Reserva Biológica Marinha do Arvoredo (REBIO Arvoredo), a marine MPA at Santa Catarina State, Southern Brazil. The principal goal was to raise biological and abiotic data to support management programs. Data loggers are fixed over submerged rock boulders at 2-10m depth in coastal islands (-27.24°, -48.36°). Temperature data are registered every 20 minutes. The project was funded by PETROBRAS as a requirement for an environmental permit. Today, the continuity of the temperature time series is supported by the Brazilian Environmental Agency (ICMBIO) local staff, and Instituto Ilha do Campeche and IPHAN - Instituto do Patrimônio Histórico e Artístico Nacional.
DOI: 10.1594/pangaea.899292
title: The mean sortable silt size in Holocene sediment core MD08-3182Cq from the Gardar drift

description: For measurements of the mean sortable silt size of the detrital faction, biogenic carbonates were dissolved using acetic acid (20 %) and the organic matter was removed using hydrogen peroxide (33%) at 85°C. The samples were sieved through a 63 μm mesh and mixed in Sodium hexametaphosphate solution (0,2 %) in an ultrasonic bath for 2 minutes before analysis. The measurement was made using a Beckman Coulter Counter Multisizer 3 with a 100µm aperture tube valid for the 2-63µm. Two runs were performed with a total of 500,000 to 600,000 particles passing through the aperture. The number of particles counted in the 10-63µm range exceeds 10,000 and the reproducibility between these replicates is of the order of 1.5 to 2%.
DOI: 10.1594/pangaea.899293
title: Low field magnetic susceptibility in Holocene sediment core CH77-02 from the Gardar drift

description: Low field magnetic susceptibility normalized by the volume and measured on u-channels with a Bartington MS2C 45-mm diameter susceptibility bridge at 2 cm intervals with a resolution of about 4-5 cm.
DOI: 10.1594/pangaea.899296
title: Low field magnetic susceptibility in Holocene sediment core MD03-2678Cq from the Gardar drift

description: Low field magnetic susceptibility normalized by the volume and measured on u-channels with a Bartington MS2C 45-mm diameter susceptibility bridge at 2 cm intervals with a resolution of about 4-5 cm.
DOI: 10.1594/pangaea.899298
title: Low field magnetic susceptibility in Holocene sediment core MD08-3182Cq from the Gardar drift

description: Low field magnetic susceptibility normalized by the volume and measured on u-channels with a Bartington MS2C 45-mm diameter susceptibility bridge at 2 cm intervals with a resolution of about 4-5 cm.
DOI: 10.1594/pangaea.899299
title: Low field magnetic susceptibility in Holocene sediment cores MD99-2251 and MD03-2676C2 from the Gardar drift

description: Low field magnetic susceptibility normalized by the volume and measured on u-channels with a Bartington MS2C 45-mm diameter susceptibility bridge at 2 cm intervals with a resolution of about 4-5 cm.
DOI: 10.15468/dl.e544mn
title: Occurrence Download

description: A dataset containing 179 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Adelphicos nigrilatum Smith, 1942)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 179 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033708-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.911817
title: ELRA-modelled uplift rates with spatially-uniform and spatially-varying ELRA parameters

description: We would like to assess how the ELRA models behaves in comparison to both Self-Gravitating Viscoelastic solid Earth Models (SGVEMs) outputs and to observations.First, we compare the present-day uplift rates predicted when a spatially-uniform ELRA model is forced with the ICE-6G (Argus et al., 2014) and W12 ice loading histories (Whitehouse et al., 2012a,2012b) with the uplift rates reproduced in Fig 6a from Argus et al. (2014) and Fig 10a from Whitehouse et al. (2012b), respectively, where SGVEMs with uniformly stratified solid Earth are used.Next, we compare the present-day uplift rates reproduced by a spatially-uniform ELRA model forced with two different ice loading histories (ICE-6G; Argus et al. (2014) and W12; Whitehouse et al. (2012a,2012b)) for each of the 2000 Monte Carlo ELRA configurations of our ensemble with GPS observations of present-day uplift rates from Whitehouse et al. (2012b).
DOI: 10.15468/dl.m3mhgy
title: Occurrence Download

description: A dataset containing 515 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Placida dendritica (Alder & Hancock, 1843)"
 ]
}

 The dataset includes 515 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0088847-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.897977
title: XRF Ti/Ca ratios of sediment core GeoB6212-1
DOI: 10.1594/pangaea.909249
title: Number Concentrations of Sea Spray Particles in the Ross Sea (February - March, 2018), R/V Tangaroa cruise TAN1802

description: Number-concentration size spectra of ambient aerosol were measured from a container laboratory (~2 m a.s.l.) on the R/V Tangaroa in February/March 2018. The voyage departed and returned to Wellington, New Zealand, spending the majority of the sampling period in the Ross Sea. Raw spectral measurements were made using a PCASP-100X spectrometer. The raw spectra were corrected according to size-dependent losses through the inlet line (Brockman, 2001). A modal analysis was then used to constrain the concentration of sea spray from these corrected spectra (Modini et al., 2015; Quinn et al., 2017).Relative wind speeds were measured using a Gill WindSonic anemometer. These were corrected according to acceleration factors over the ship's hull (Popinet et al., 2004) and then translated according to the ship's heading and velocity to derive the true wind speed and direction. Finally, the true velocities were adjusted from the measurement height (22.5 m) to the 10-m reference level according to the local stability and logarithmic wind profile (COARE3.5; Edson et al. 2013).Hourly averages were only included in the following data set, if: the ambient relative humidity was less than 98%; the accumulated precipitation was less than 1 mm; CO2 measured by a Picarro was less than 405 ppm; and, the influence of continental aerosol (excluding Antarctica) was negligible as determined by back-trajectory analysis.
DOI: 10.15468/dl.qezxd2
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Fowlea schnurrenbergeri (Kramer, 1977))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033700-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.908578
title: Broad typology for rivers and lakes in Europe for large scale analysis

description: Typology of waters is defined as a group of water bodies having common natural ecological conditions in terms of geo-morphological, hydrological, physico-chemical, and biological characteristics. The type descriptors are permanent characteristics that do not respond to human activities and represent the fixed abiotic conditions that explain natural variability. For the need of large-scale analysis of ecological status, multiple pressures on rivers and lakes, linkages of water body types to habitat types and for comparison of type-specific limit values for nutrients and other quality elements across countries in Europe, a broad river and lake typology was developed. Descriptors categories are dominant geology, region, river catchment, river altitude, river flow, lake size and mean lake depth. The ranges of descriptors largely follow the system A of Water Framework Directive (WFD) (EC, 2000) and are described in Lyche Solheim et al. (2019). Various European data sources were used for spatial allocation of rivers and lakes broad types. The starting point was the European Catchments and Rivers Network System (Ecrins) (EEA, 2012), which is organised into sets of spatial thematic layers: lake polygons, river segments (drains), nodes representing intersection of river and catchments and almost 180,000 “Functional Elementary Catchments (FECs)”. Catchments include “main drains” (connecting together the FECs) and “secondary drains” (internal within a FEC). We assigned one broad type to all segments belonging to “main drain” of each FEC and named them “river segment".The catchment size of river segments in each FEC is defined as the sum of the upstream drainage area and FEC surface area. The upstream drainage area has been derived using data in “Code Arbo” in Ecrins database (Globevnik et al., 2017). The altitude of the lower end points of river segments in each FEC is available in Ecrins river database. Lake surface area is obtained from Ecrins lake area attribute “Area”. Data on mean lake depth were obtained from Waterbase – Water Quality database (EEA, 2016) or estimated from terrain data. The basic map of five geological (geochemical) categories was produced from two thematic maps: bedrock map “International Hydrogeological Map of Europe (IHME 1500_v11)” (Dutcher et al, 2015) and the soil map of the European Union “SGDBE4” (JRC, 2016). The dominant geology for lakes was derived from this map with the overlay procedure. For each FEC we then defined dominant catchment geology (geochemistry) and assigned this geology type to all river segments forming the FEC's main drain. Spatial extent of the Mediterranean region is obtained from spatial layer 'Biogeographical regions of Europe» (EEA, 2019). More details on methodology are in Lyche Solheim et al. (2019).
DOI: 10.15468/dl.73z3mj
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-95.3232799999999969 29.7150689999999997, -95.3232799999999969 29.7158598299999994, -95.3232799999999969 29.7169670000000004, -95.3232799999999969 29.7179687199999982, -95.3232799999999969 29.7187595500000015, -95.3232799999999969 29.7194976599999983, -95.3232799999999969 29.7206048299999992, -95.3232799999999969 29.7214483799999982, -95.3232799999999969 29.7224500999999997, -95.3219653200000039 29.7224500999999997, -95.3212291100000044 29.7224500999999997, -95.3199670200000071 29.7224500999999997, -95.3192833899999954 29.7224500999999997, -95.3180212999999981 29.7224500999999997, -95.3180212999999981 29.7213429399999995, -95.3180212999999981 29.7207102700000014, -95.3180212999999981 29.7199194400000017, -95.3180212999999981 29.7189177200000003, -95.3180212999999981 29.7177051100000007, -95.3180212999999981 29.7167033899999993, -95.3180212999999981 29.7158598299999994, -95.3180212999999981 29.7150689999999997, -95.3195463200000006 29.7150689999999997, -95.3210713499999969 29.7150689999999997, -95.3221230900000052 29.7150689999999997, -95.3232799999999969 29.7150689999999997))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1932",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Observation, Specimen, Machine Observation)"
 ]
}

 The dataset includes 27 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081331-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.