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

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phyllopodopsyllus setouchiensis Kitazima, 1981",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048095-241126133413365/datasets/export for details.
DOI: 10.15468/dl.a52euh
title: Occurrence Download

description: A dataset containing 553 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phyllorhiza punctata von Lendenfeld, 1884",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 553 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048096-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x432mq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Podocoryna loyola Haddad, Bettim & Miglietta, 2014",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048097-241126133413365/datasets/export for details.
DOI: 10.15468/dl.p5gjsa
title: Occurrence Download

description: A dataset containing 1974 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Polyclinum aurantium Milne Edwards, 1841",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 1974 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048098-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gkfs4y
title: Occurrence Download

description: A dataset containing 129 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Polydora hoplura Claparède, 1868",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 129 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048099-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gvvh8p
title: Occurrence Download

description: A dataset containing 447 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pomacanthus maculosus (Forsskål, 1775)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 447 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048100-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28091168
title: Detaset for Global Mantle Gravity Gradient Disturbances and Their Implications on Mantle Dynamics

description: The variation in mantle density is crucial for understanding mantle structure and dynamics, as well as elucidating the mechanism driving crustal tectonic movements and surface deformation. Mantle gravity and its gradient disturbances serve as primary data for estimating mantle density heterogeneity. However, these gravity signals are masked by the highly heterogeneous crust. In this study, we utilize the latest crustal model, Earth Crustal Model 1 (ECM1), and a spatial-domain three-dimensional gravity gradient forward modeling method to calculate the gravity gradient disturbances of the crustal layers. By removing the crustal response from the global gravity gradient data observed by the GOCE satellite, we obtain the new global mantle gravity gradient disturbances (MGGDs). A detailed analysis of mid-ocean ridges (MORs), cratons, and subduction zones yields the following insights: (1) At MORs, the MGGDs highlight the upwelling of hot mantle materials and the heated, thinned lithosphere beneath the MORs. In Large Igneous Provinces (LIPs), the vertical MGGDs are significantly negative, indicating the low-density composition caused by hot spot activities. (2) Most cratons exhibit high-density anomalies due to their cold, thick lithospheric roots. However, some ancient Archean cratons display low-density anomalies because the compositional changes resulting from the high depletion of lithospheric roots may outweigh the effects of low temperatures on density. (3) At subduction zones, MGGDs reveal subducting plates and the induced mantle convection. High-density subducting plates typically cause positive vertical MGGDs, whereas melting and up mantle flow associated with plate subduction often result in negative vertical gravity gradient disturbances near subduction zones.
DOI: 10.6084/m9.figshare.28091168.v1
title: Detaset for Global Mantle Gravity Gradient Disturbances and Their Implications on Mantle Dynamics

description: The variation in mantle density is crucial for understanding mantle structure and dynamics, as well as elucidating the mechanism driving crustal tectonic movements and surface deformation. Mantle gravity and its gradient disturbances serve as primary data for estimating mantle density heterogeneity. However, these gravity signals are masked by the highly heterogeneous crust. In this study, we utilize the latest crustal model, Earth Crustal Model 1 (ECM1), and a spatial-domain three-dimensional gravity gradient forward modeling method to calculate the gravity gradient disturbances of the crustal layers. By removing the crustal response from the global gravity gradient data observed by the GOCE satellite, we obtain the new global mantle gravity gradient disturbances (MGGDs). A detailed analysis of mid-ocean ridges (MORs), cratons, and subduction zones yields the following insights: (1) At MORs, the MGGDs highlight the upwelling of hot mantle materials and the heated, thinned lithosphere beneath the MORs. In Large Igneous Provinces (LIPs), the vertical MGGDs are significantly negative, indicating the low-density composition caused by hot spot activities. (2) Most cratons exhibit high-density anomalies due to their cold, thick lithospheric roots. However, some ancient Archean cratons display low-density anomalies because the compositional changes resulting from the high depletion of lithospheric roots may outweigh the effects of low temperatures on density. (3) At subduction zones, MGGDs reveal subducting plates and the induced mantle convection. High-density subducting plates typically cause positive vertical MGGDs, whereas melting and up mantle flow associated with plate subduction often result in negative vertical gravity gradient disturbances near subduction zones.
DOI: 10.15468/dl.ekwqyp
title: Occurrence Download

description: A dataset containing 15173 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pterois volitans (Linnaeus, 1758)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 15173 records from 168 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048101-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.392gr4
title: Occurrence Download

description: A dataset containing 90 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pyropia acanthophora (E.C.Oliveira & Coll) M.C.Oliveira et al.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 90 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048102-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xw8539
title: Occurrence Download

description: A dataset containing 285 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pyropia suborbiculata (Kjellm.) J.E.Sutherl., H.G.Choi, M.S.Hwang & W.A.Nelson",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 285 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048103-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ehbjz6
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Three new minute leaf litter beetles discovered by citizen scientists in Maliau Basin, Malaysian Borneo (Coleoptera: Leiodidae, Chrysomelidae)"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048104-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pnpyat
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pyropia tanegashimensis (Shinmura) N.Kikuchi & E.Fujiyoshi",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048105-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.919951
title: Multibeam bathymetry processed data (EM 1002 echosounder entire dataset) of RV MARIA S. MERIAN during cruise MSM32

description: Bathymetry data was acquired during R/V MARIA S. MERIAN cruise MSM32 in the northeastern Atlantic between 25.09.2013 and 30.10.2013. The cruise aimed to gain a better understanding of the Agadir Canyon. To investigate why some submarine landslides remain as coherent blocks of sediment throughout their passage downslope, while others mix and disintegrate almost immediately after initial failure MSM32 combined seismic, hydroacoustic and sidescan surveys [DOI: 10.2312/cr_msm32]. CI Citation: Paul Wintersteller (seafloor-imaging@marum.de) as responsible party for bathymetry raw data ingest and approval. During the MSM32 cruise, the moonpooled KONGSBERG EM1002 multibeam echosounder (MBES) was utilized to perform bathymetric mapping in shallow depths. 111 beams are formed for each ping while the seafloor is detected using amplitude and phase information for each beam sounding. For further information on the system, consult https://www.km.kongsberg.com/. During the cruise, the swath width was adjusted manually to get the best compromise between coverage and data quality with changing water depth and sea state [DOI: 10.2312/cr_msm32]. Responsible person during this cruise / PI: P. Feldens. Postprocessing and products were conducted by the Seafloor-Imaging & Mapping group of MARUM/FB5, responsible person Paul Wintersteller (seafloor-imaging@marum.de). The open source software MB-System (Caress, D. W., and D. N. Chayes, MB-System: Mapping the Seafloor, https://www.mbari.org/products/research-software/mb-system, 2017) was utilized for this purpose. A sound velocity correction profile was applied to the MSM32 data; there were no further corrections for roll, pitch and heave applied during postprocessing. A tide correction was applied, based on the Oregon State University (OSU) tidal prediction software (OTPS) that is retrievable through MB-System. CTD measurements during the cruise were sufficient to represent the changes in the sound velocity throughout the study area. Using Mbeditviz, artefacts were cleaned manually. NetCDF (GMT) grids of the edited data as well as statistics were created with mbgrid. The published bathymetric EM1002 grid of the cruise MSM32 has a resolution of 35 m. No total propagated uncertainty (TPU) has been calculated to gather vertical or horizontal accuracy. A higher resolution is, at least partly, achievable. The grid extended with _num represents a raster dataset with the statistical number of beams/depths taken into account to create the depth of the cell. The extended _sd -grid contains the standard deviation for each cell. The DTMs projections are given in Geographic coordinate system Lat/Lon; Geodetic Datum: WGS84.
description: These data should not be used for navigational purposes.Dataset was submitted to PANGAEA and initial created in 2020. Data publication was approved in 2024.
DOI: 10.1594/pangaea.921867
title: Multibeam bathymetry processed data (EM 1002 echosounder entire dataset) of RV MARIA S. MERIAN during cruise MSM51/1

description: Swath sonar bathymetry data used for that dataset was recorded during RV MARIA S. MERIAN cruise MSM51/1 using Kongsberg EM1002 multibeam echosounder. The cruise took place between 01.02.2016 and 27.02.2016 in the Baltic Sea. The cruise aimed to perform seismo- and hydroacoustic surveys, sampling of Holocene sediments and to investigate the water column wintertime mixing close to sea-ice limits. These surveys improved the understanding of variations in the ventilation of the deeper Baltic, considering not only external climate forcing but also the effects of postglacial sealevel rise and isostatic uplift [CSR]. CI Citation: Paul Wintersteller (seafloor-imaging@marum.de) as responsible party for bathymetry raw data ingest and approval. During the MSM51-1 cruise, the moonpooled KONGSBERG EM1002 multibeam echosounder (MBES) was utilized to perform bathymetric mapping in shallow depths. 111 beams are formed for each ping while the seafloor is detected using amplitude and phase information for each beam sounding. For further information on the system, consult https://www.km.kongsberg.com/. Postprocessing and products were conducted by the Seafloor-Imaging & Mapping group of MARUM/FB5, responsible person Paul Wintersteller (seafloor-imaging@marum.de). The open source software MB-System (Caress, D. W., and D. N. Chayes, MB-System: Mapping the Seafloor, https://www.mbari.org/products/research-software/mb-system, 2017) was utilized for this purpose. A sound velocity correction profile was applied to the MSM51-1 data; there were no further corrections for roll, pitch and heave applied during postprocessing. A tide correction was applied, based on the Oregon State University (OSU) tidal prediction software (OTPS) that is retrievable through MB-System. CTD measurements during the cruise were sufficient to represent the changes in the sound velocity throughout the study area. Using Mbeditviz, artefacts were cleaned manually. NetCDF (GMT) grids of the edited data as well as statistics were created with mbgrid. The published bathymetric EM1002 grid of the cruise MSM51-1 has a resolution of 15 m. No total propagated uncertainty (TPU) has been calculated to gather vertical or horizontal accuracy. A higher resolution is, at least partly, achievable. The grid extended with _num represents a raster dataset with the statistical number of beams/depths taken into account to create the depth of the cell. The extended _sd -grid contains the standard deviation for each cell. The DTMs projections are given in Geographic coordinate system Lat/Lon; Geodetic Datum: WGS84.
description: These data should not be used for navigational purposes.Dataset was submitted to PANGAEA and initial created in 2020. Data publication was approved in 2024.
DOI: 10.1594/pangaea.921876
title: Multibeam bathymetry processed data (EM 1002 echosounder entire dataset) of RV MARIA S. MERIAN during cruise MSM62/2

description: Swath sonar bathymetry data used for that dataset was recorded during RV MARIA S. MERIAN cruise MSM62/2 using Kongsberg EM1002 multibeam echosounder. The cruise took place between 23.03.2017 and 27.03.2017 in the Baltic Sea. The cruise aimed to investigate the impact of the Littorina transgression on the inflow of saline waters into the western Baltic and assessed the potential for future diminution of ventilation in the central and northern deeper basins due to isostatic uplift [CSR]. CI Citation: Paul Wintersteller (seafloor-imaging@marum.de) as responsible party for bathymetry raw data ingest and approval. During the MSM62/2 cruise, the moonpooled KONGSBERG EM1002 multibeam echosounder (MBES) was utilized to perform bathymetric mapping in shallow depths. The echosounder has a curved transducer in which 111 beams are formed for each ping while the seafloor is detected using amplitude and phase information for each beam sounding. For further information on the system, consult https://www.km.kongsberg.com/. Postprocessing and products were conducted by the Seafloor-Imaging & Mapping group of MARUM/FB5, responsible person Paul Wintersteller (seafloor-imaging@marum.de). The open source software MB-System (Caress, D. W., and D. N. Chayes, MB-System: Mapping the Seafloor, https://www.mbari.org/products/research-software/mb-system, 2017) was utilized for this purpose. A sound velocity correction profile was applied to the MSM62/2 data; there were no further corrections for roll, pitch and heave applied during postprocessing. A tide correction was applied, based on the Oregon State University (OSU) tidal prediction software (OTPS) that is retrievable through MB-System. CTD measurements during the cruise were sufficient to represent the changes in the sound velocity throughout the study area. Using Mbeditviz, artefacts were cleaned manually. NetCDF (GMT) grids of the edited data as well as statistics were created with mbgrid. The published bathymetric EM1002 grid of the cruise MSM62/2 has a resolution of 15 m. No total propagated uncertainty (TPU) has been calculated to gather vertical or horizontal accuracy. A higher resolution is, at least partly, achievable. The grid extended with _num represents a raster dataset with the statistical number of beams/depths taken into account to create the depth of the cell. The extended _sd -grid contains the standard deviation for each cell. The DTMs projections are given in Geographic coordinate system Lat/Lon; Geodetic Datum: WGS84.
description: These data should not be used for navigational purposes.Dataset was submitted to PANGAEA and initial created in 2020. Data publication was approved in 2024.
DOI: 10.1594/pangaea.921924
title: Multibeam bathymetry processed data (EM 1002 echosounder entire dataset) of RV MARIA S. MERIAN during cruise MSM52

description: Swath sonar bathymetry data used for that dataset was recorded during RV MARIA S. MERIAN cruise MSM52 using Kongsberg EM1002 multibeam echosounder. The cruise took place between 01.03.2016 and 28.03.2016 in the Baltic Sea. The cruise aimed gapless imagining of the major pre-alpine tectonic lineaments due to the fact that the Glückstadt Graben and the Avalonia-Baltica suture zone run across the southern Baltic [DOI: 10.2312/cr_msm52]. CI Citation: Paul Wintersteller (seafloor-imaging@marum.de) as responsible party for bathymetry raw data ingest and approval. During the MSM52 cruise, the moonpooled KONGSBERG EM1002 multibeam echosounder (MBES) was utilized to perform bathymetric mapping in shallow depths. It has a curved transducer of which 111 beams are formed for each ping while the seafloor is detected using amplitude and phase information for each beam sounding. For further information on the system, consult https://www.km.kongsberg.com/. Generally, the system was acquiring data throughout the entire cruise. Responsible person during this cruise / PI: Laura Frahm. Postprocessing and products were conducted by the Seafloor-Imaging & Mapping group of MARUM/FB5, responsible person Paul Wintersteller (seafloor-imaging@marum.de). The open source software MB-System (Caress, D. W., and D. N. Chayes, MB-System: Mapping the Seafloor, https://www.mbari.org/products/research-software/mb-system, 2017) was utilized for this purpose. A sound velocity correction profile was applied to the MSM52 data; there were no further corrections for roll, pitch and heave applied during postprocessing. A tide correction was applied, based on the Oregon State University (OSU) tidal prediction software (OTPS) that is retrievable through MB-System. CTD measurements during the cruise were sufficient to represent the changes in the sound velocity throughout the study area. Using Mbeditviz, artefacts were cleaned manually. NetCDF (GMT) grids of the edited data as well as statistics were created with mbgrid. The published bathymetric EM1002 grid of the cruise MSM52 has a resolution of 35 m. No total propagated uncertainty (TPU) has been calculated to gather vertical or horizontal accuracy. A higher resolution is, at least partly, achievable. The grid extended with _num represents a raster dataset with the statistical number of beams/depths taken into account to create the depth of the cell. The extended _sd -grid contains the standard deviation for each cell. The DTMs projections are given in Geographic coordinate system Lat/Lon; Geodetic Datum: WGS84.
description: These data should not be used for navigational purposes.Dataset was submitted to PANGAEA and initial created in 2020. Data publication was approved in 2024.
DOI: 10.1594/pangaea.973679
title: Expanded measurements from station Ny-Ålesund (2024-10)

description: 99999: No clouds detected
DOI: 10.1594/pangaea.973680
title: Expanded measurements from station Ny-Ålesund (2024-09)

description: 99999: No clouds detected
DOI: 10.1594/pangaea.973681
title: Basic and other measurements of radiation at station Ny-Ålesund (2024-09)
DOI: 10.1594/pangaea.973682
title: Basic and other measurements of radiation at station Ny-Ålesund (2024-10)