cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.4m4jam
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pista maculata (Dalyell, 1853), Terebellides stroemii Sars, 1835, Nereis pelagica Linnaeus, 1758, Lumbricillus rivalis (Levinsen, 1884), Acartia longiremis (Lilljeborg, 1853), Pseudocalanus moultoni Frost, 1989, Mobula rochebrunei (Vaillant, 1879), Solaster endeca (Linnaeus, 1771), Balanus balanus (Linnaeus, 1758), Scalibregma inflatum Rathke, 1843, Semibalanus balanoides (Linnaeus, 1767), Leptodiaptomus minutus (Lilljeborg, 1889), Harmothoe imbricata (Linnaeus, 1767), Priapulus caudatus Lamarck, 1816, Calanus glacialis Jaschnov, 1955, Micronephthys minuta (Théel, 1879), Pholoe baltica Örsted, 1843, Pseudocalanus acuspes (Giesbrecht, 1881), Pseudocalanus mimus Frost, 1989, Sarsia princeps (Haeckel, 1879), Littorina saxatilis (Olivi, 1792), Pentamera calcigera Stimpson, 1851, Amphitrite cirrata Müller, 1776, Praxillella praetermissa (Malmgren, 1865), Chaetozone setosa Malmgren, 1867, Eteone longa (Fabricius, 1780), Thelepus cincinnatus (Fabricius, 1780), Flabelligera affinis M.Sars, 1829, Aricidea nolani Webster & Benedict, 1887, Polycirrus phosphoreus Verrill, 1879, Artacama proboscidea Malmgren, 1866, Gattyana cirrhosa (Pallas, 1766), Nicomache lumbricalis (Fabricius, 1780), Cirratulus cirratus (O.F.Müller, 1776), Galathowenia oculata (Zachs, 1923), Pseudocalanus minutus (Krøyer, 1845), Lebbeus groenlandicus (J.C.Fabricius, 1775), Icelus spatula Gilbert & Burke, 1912, Icelus bicornis (Reinhardt, 1840), Lucernaria quadricornis O.F.Müller, 1776, Strongylocentrotus pallidus (Sars G.O., 1872), Chlamys islandica (O.F.Müller, 1776), Clione limacina (Phipps, 1774), Golfingia margaritacea (Sars, 1851), Spio filicornis (Müller, 1776), Rhodine gracilior Tauber, 1879, Harmothoe rarispina (M.Sars, 1861), Amblyosyllis finmarchica (Malmgren, 1867), Odobenus rosmarus (Linnaeus, 1758), Catablema vesicarium (A.Agassiz, 1862), Hybocodon prolifer Agassiz, 1860, Stegophiura nodosa (Lütken, 1855), Pseudoscalibregma parvum (Hansen, 1879), Lycodes mucosus Richardson, 1855)",
 "HasCoordinate is true",
 "Geometry POLYGON(( -69.5103 63.7261 , -69.5103 63.7145 , -68.50311 63.7145 , -68.50311 63.7261 , -69.5103 63.7261 ))"
 ]
}

 The dataset includes 9 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037610-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qece2w
title: Occurrence Download

description: A dataset containing 89 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-96.61229 -33.04231,-66.71339 -33.04231,-66.71339 1.57747,-96.61229 1.57747,-96.61229 -33.04231))",
 "TaxonKey is Pseudobatos planiceps (Garman, 1880)"
 ]
}

 The dataset includes 89 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037611-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mqy6kn
title: Occurrence Download

description: A dataset listing the 37 species recorded in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry MULTIPOLYGON (((-67.16678 48.93073, -67.16819 48.93344, -67.17019 48.94058, -67.17493 48.93439, -67.18151 48.93002, -67.18423 48.92425, -67.18996 48.91796, -67.1954 48.89883, -67.20724 48.89338, -67.20664 48.89019, -67.20155 48.88113, -67.20824 48.87215, -67.20899 48.87004, -67.20956 48.86351, -67.2346 48.85001, -67.23383 48.84342, -67.22779 48.83515, -67.22153 48.84071, -67.21171 48.85042, -67.19705 48.85162, -67.18916 48.84998, -67.18365 48.85334, -67.17998 48.85006, -67.17588 48.84984, -67.16404 48.86054, -67.16167 48.86227, -67.1677 48.87794, -67.17205 48.89457, -67.17402 48.89696, -67.17313 48.90273, -67.17866 48.90583, -67.17176 48.91926, -67.1717 48.923, -67.16429 48.92744, -67.16678 48.93073)))"
 ]
}

 The dataset's 37 records were derived from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037605-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15644983
title: Database of Environmental Factors–Driven Machine Learning for Global Landslide Susceptibility

description: This is the relevant data for the paper titled Machine Learning-Driven Global Landslide Susceptibility Assessment Reveals Critical Roles of Environmental Dynamics.The data mainly includes machine learning correlation factors, calculation results, final picture results, and relevant machine learning code. Due to the limitation of the number of files, they are packaged as compressed files for uploading. Below, I will introduce the relevant documents.





Input Dataset – Global Landslide Conditioning Factors.rar:Contains 17 driving factors and global historical landslide events for model training.




Model Outputs – Seasonal Susceptibility & Uncertainty Analysis.rar:Normal/Summer/Winter three sets of prediction results, including 7 model standard deviations and variance analysis files.




Visualization Package – Final Susceptibility Maps & Charts.rar:All final charts and maps drawn based on model results.
DOI: 10.5281/zenodo.15644984
title: Database of Environmental Factors–Driven Machine Learning for Global Landslide Susceptibility

description: This is the relevant data for the paper titled Machine Learning-Driven Global Landslide Susceptibility Assessment Reveals Critical Roles of Environmental Dynamics.The data mainly includes machine learning correlation factors, calculation results, final picture results, and relevant machine learning code. Due to the limitation of the number of files, they are packaged as compressed files for uploading. Below, I will introduce the relevant documents.





Input Dataset – Global Landslide Conditioning Factors.rar:Contains 17 driving factors and global historical landslide events for model training.




Model Outputs – Seasonal Susceptibility & Uncertainty Analysis.rar:Normal/Summer/Winter three sets of prediction results, including 7 model standard deviations and variance analysis files.




Visualization Package – Final Susceptibility Maps & Charts.rar:All final charts and maps drawn based on model results.
DOI: 10.15468/dl.msp6hc
title: Occurrence Download

description: A dataset containing 223520 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is Mexico",
 "TaxonKey is Cactaceae"
 ]
}

 The dataset includes 223520 records from 303 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037606-250525065834625/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.29299274
title: interactions

description: pairwise interactions of the interested area found in each frame of the production runs
DOI: 10.6084/m9.figshare.29299274.v1
title: interactions

description: pairwise interactions of the interested area found in each frame of the production runs
DOI: 10.15468/dl.mgr9ue
title: Occurrence Download

description: A dataset containing 18433 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Desmophyllum pertusum (Linnaeus, 1758)"
 ]
}

 The dataset includes 18433 records from 62 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037616-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n2hzqn
title: Occurrence Download

description: A dataset containing 3139 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chile",
 "OccurrenceStatus is Present",
 "TaxonKey is Sus Linnaeus, 1758",
 "Year 1950-2025"
 ]
}

 The dataset includes 3139 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037615-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a9hpg2
title: Occurrence Download

description: A dataset containing 66664 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhinogobius Gill, 1859"
 ]
}

 The dataset includes 66664 records from 157 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037608-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15231992
title: Water, Energy, and Carbon with Artificial Neural Networks (WECANN): A statistically based estimate of global surface turbulent fluxes using solar-induced fluorescence

description: A new global estimate of surface turbulent fluxes, latent heat flux (LE) and sensible heat flux (H), and gross primary production (GPP) is developed using a machine learning approach informed by novel remotely sensed Solar-Induced Fluorescence (SIF) and other radiative and meteorological variables. This is the first study to jointly retrieve LE, H and GPP using SIF observations. The approach uses an artificial neural network (ANN) with a target dataset generated from three independent data sources, weighted based on triple collocation (TC) algorithm. The new retrieval, named Water, Energy, and Carbon with Artificial Neural Networks (WECANN), provides estimates of LE, H and GPP from 2007 to 2015 at 1° × 1° spatial resolution and on monthly time resolution. The quality of ANN training is assessed using the target data, and the WECANN retrievals are evaluated using eddy covariance tower estimates from FLUXNET network across various climates and conditions. When compared to eddy covariance estimates, WECANN typically outperforms other products, particularly for sensible and latent heat fluxes. Analysing WECANN retrievals across three extreme drought and heatwave events demonstrates the capability of the retrievals in capturing the extent of these events. Uncertainty estimates of the retrievals are analysed and the inter-annual variability in average global and regional fluxes show the impact of distinct climatic events – such as the 2015 El Niño - on surface turbulent fluxes and GPP.
DOI: 10.5281/zenodo.15231993
title: Water, Energy, and Carbon with Artificial Neural Networks (WECANN): A statistically based estimate of global surface turbulent fluxes using solar-induced fluorescence

description: A new global estimate of surface turbulent fluxes, latent heat flux (LE) and sensible heat flux (H), and gross primary production (GPP) is developed using a machine learning approach informed by novel remotely sensed Solar-Induced Fluorescence (SIF) and other radiative and meteorological variables. This is the first study to jointly retrieve LE, H and GPP using SIF observations. The approach uses an artificial neural network (ANN) with a target dataset generated from three independent data sources, weighted based on triple collocation (TC) algorithm. The new retrieval, named Water, Energy, and Carbon with Artificial Neural Networks (WECANN), provides estimates of LE, H and GPP from 2007 to 2015 at 1° × 1° spatial resolution and on monthly time resolution. The quality of ANN training is assessed using the target data, and the WECANN retrievals are evaluated using eddy covariance tower estimates from FLUXNET network across various climates and conditions. When compared to eddy covariance estimates, WECANN typically outperforms other products, particularly for sensible and latent heat fluxes. Analysing WECANN retrievals across three extreme drought and heatwave events demonstrates the capability of the retrievals in capturing the extent of these events. Uncertainty estimates of the retrievals are analysed and the inter-annual variability in average global and regional fluxes show the impact of distinct climatic events – such as the 2015 El Niño - on surface turbulent fluxes and GPP.
DOI: 10.1594/pangaea.749780
title: Meteorological observations during INDIA cruise from Batavia to St. Helena started at 1840-07-14
DOI: 10.1594/pangaea.732343
title: (Table 7) Contents of normative molecules in Mesozoic-Cenozoic deposits from DSDP Hole 41-370
DOI: 10.1594/pangaea.750913
title: Meteorological observations during NEWCASTLE cruise from Bermuda to Halifax started at 1821-05-15
DOI: 10.1594/pangaea.691108
title: Nutrient concentrations in water samples collected at Station DEC94-JAN95-GN3619940280400341 in the Aegean Sea
DOI: 10.1594/pangaea.870196
title: Links to master tracks in different resolutions from POLAR 2 flight EPICA_VII_13
DOI: 10.1594/pangaea.746835
title: Meteorological observations during POLANEN cruise from Batavia to Kaap de Goede Hoop started at 1750-01-26
DOI: 10.1594/pangaea.694754
title: Temperature and salinity in the water column of the Ionian Sea at Station MARCH-2000-IRI43A

description: The 911plus set has been used. It consists of the 9plus underwater CTD unit and the 11plus V2 deck unit. It has high resolution sampling (24 Hz), pump-controlled T-C ducted flow, up to 10500 meter (15,000 psia) depth capability, maximum auxiliary sensor flexibility, and modem channel for water sampling control. The 911plus set has eight 12-bit A/D channels and supports redundant C&T sensors or custom auxiliary digital inputs.
DOI: 10.1594/pangaea.822777
title: Meteorological measurements in the upper air at station Kauhava, 1934-01-18 to 1935-10-17, ERA-CLIM ID 5508
DOI: 10.1594/pangaea.694797
title: Temperature and salinity in the water column of the Ionian Sea at Station SEPT-2000-IRI45B

description: The 911plus set has been used. It consists of the 9plus underwater CTD unit and the 11plus V2 deck unit. It has high resolution sampling (24 Hz), pump-controlled T-C ducted flow, up to 10500 meter (15,000 psia) depth capability, maximum auxiliary sensor flexibility, and modem channel for water sampling control. The 911plus set has eight 12-bit A/D channels and supports redundant C&T sensors or custom auxiliary digital inputs.
DOI: 10.1594/pangaea.822791
title: Meteorological measurements in the upper air at station Utö, 1934-01-03 to 1935-12-14, ERA-CLIM ID 5525

description: Altitude = Height above sea-level
DOI: 10.1594/pangaea.750414
title: Meteorological observations during LEOPARD cruise from Kedgeree to Malacca Straits started at 1802-01-25
DOI: 10.1594/pangaea.822778
title: Meteorological measurements in the upper air at station Kauhava, 1935-06-10 to 1935-10-18, ERA-CLIM ID 5509
DOI: 10.1594/pangaea.747199
title: Meteorological observations during Admiraal Evertsen cruise from Coastal East India to Coastal East India started at 1818-10-28
DOI: 10.1594/pangaea.749449
title: Meteorological observations during GOSPORT cruise from Lisbon to Spithead started at 1757-12-23
DOI: 10.1594/pangaea.830957
title: Satellite-based daily mean lake surface water temperatures from Lake_Como, 1989-2013

description: The daily mean Lake Surface Water Temperature (LSWT) has been extracted from all available satellite observations of a particular day by using the data from a 3x3 pixel array at the center of the lake. See "Events(s)" for Lake/pixel co-ordinates.
DOI: 10.1594/pangaea.711967
title: Pollen profile USTPECH, Ust-Pechersk, Russia

description: The EPD (http://www.europeanpollendatabase.net) accepted species name is given in the parameter comment. This dataset was archived on 2010-05-11 from the EPD database.
DOI: 10.1594/pangaea.739465
title: Pollen profile LLONG1, Lac Long Inférieur, France

description: Method: HCl, FH, Acetolysis, Glycerine.The EPD (http://www.europeanpollendatabase.net) accepted species name is given in the parameter comment. This dataset was archived on 2010-05-11 from the EPD database.
DOI: 10.1594/pangaea.739660
title: Pollen profile PODT, Maly Podleski, Ukraine

description: L. Post method.The EPD (http://www.europeanpollendatabase.net) accepted species name is given in the parameter comment. This dataset was archived on 2010-05-11 from the EPD database.
DOI: 10.1594/pangaea.739340
title: Pollen profile JASIEL81, Jasiel, Poland

description: The EPD (http://www.europeanpollendatabase.net) accepted species name is given in the parameter comment. This dataset was archived on 2010-05-11 from the EPD database.
DOI: 10.1594/pangaea.484921
title: Sea surface temperature data during cruise Hvidfisken_19050504

description: Values of air and water temperature are corrected if corrections are given. If correction value is missing, it is taken 0.0. If correction is given for a range of temperature, particular value is computed by linear interpolation.
DOI: 10.1594/pangaea.748647
title: Meteorological observations during DORDRECHT cruise from Curacao to the Netherlands started at 1847-08-14
DOI: 10.1594/pangaea.752830
title: Meteorological observations during WARLEY cruise from Spithead to Penang started at 1811-04-09
DOI: 10.1594/pangaea.494653
title: Physical oceanography during cruise IXXXXMIZXXC_1983
DOI: 10.1594/pangaea.544650
title: Hydrography and plankton abundance of vertical plankton haul profile GIK15658-2, off NW Africa (Table 1c)
DOI: 10.1594/pangaea.747106
title: Meteorological observations during TARTAR cruise from Mocha to Bombay started at 1750-08-13
DOI: 10.1594/pangaea.769882
title: Schwermineraltabelle

description: Die Altersbestimmung von Sedimentärgeschieben, die nicht durch ihren Fossilgehalt hinreichend gekennzeichnet sind, ist nur auf dem Wege eines petrographischen Vergleiches mit bekannten Geschieben oder dem anstehenden Vorkommen der betreffenden Gesteine möglich. In vielen Fällen Iäßt zwar schon das makroskopische Bild sichere Aussagen zu, wie z. B. ein fossilfreier roter Orthocerenkalk oder ein Juraoolith ohne Schwierigkeiten erkannt und damit auch richtig eingestuft werden können. Zuweilen ist dieser makroskopische Vergleich aber doch recht unsicher und Iäßt keine eindeutige Entscheidung zu. Hier können mikroskopische Methoden mit Aussicht auf Erfolg weiterhelfen.Im Laufe der letzten Jahrzehnte hat sich zur Kennzeichnung klastischer Sedimente die Untersuchung der spezifisch schweren Minerale in zunehmendem Maße bewährt, wobei einmal das Auftreten bestimmter Minerale in einzelnen Schichtgruppen, zum andern das relative Mengenverhältnis gleicher Minerale in verschiedenen Ablagerungen herangezogen wurde. Eine Übertragung dieser Methoden auf die Geschiebeforschung ist bisher noch nicht versucht worden, obwohl hier gerade ein dankbares Objekt vorliegt, da auch sehr geringe Mengen von Untersuchungssubstanz eine hinreichende Charakterisierung des Schwermineralbestandes gestatten, also auch kleine und kleinste Geschiebe der Untersuchung zugänglich sind.
description: Supplement to: Weyl, Richard; Werner, Hans (1952): Altersbestimmung von Eiszeitgeschieben mit Hilfe von Schwermineralen. Meyniana, 1, 130-137
DOI: 10.1594/pangaea.477473
title: Hydrochemistry measured on water bottle samples at station SAtl_1983_OC_10S/160

description: This data sets is part of a compilation by James Swift for the Java OceanAtlas software. Data are from various pre-WOCE sources, mainly with contributions and quality control from Joseph Reid (SIO) and NODC.
DOI: 10.1594/pangaea.822853
title: Meteorological measurements in the upper air at station Stockholm, 1920-07-13 to 1920-07-13, ERA-CLIM ID 5745

description: Altitude = Height above sea-level
DOI: 10.1594/pangaea.496049
title: Water temperature MBT profiles from cruise U90X000853M_1979
DOI: 10.1594/pangaea.763387
title: (Table 1) Heavy minerals in silt and sand samples of IODP Site 301-U1301

description: The northwestern Cascadia Basin of western North America accumulated high-sedimentation-rate sequences during the Pleistocene sea-level low-stands. The continental shelf was largely exposed at that time, and rivers and estuaries delivered large sediment fluxes directly to the deep ocean. The IODP EXP1301 core, which was taken from the middle portion of the Cascadia Basin, is well preserved and exhibits the deeper and - more distal sedimentary facies. The lithology in this location is composed of two units, 1) hemipelagic mud with a thin sand layer and 2) thick, coarsening upward silt-sand turbidites with a small proportion of granules at the top. We will focus on the detailed sand-grain proportions in order to understand the origin of these sediments. We determined the modal proportions of the heavy minerals, and the chemical composition of olivine and orthopyroxene in fourteen samples. These are characterized by an abundance of amphibole, pyroxenes and epidote, and the presence of minerals derived from peridotite. There is no drastic change in the modal and mineral compositions of the sands and silts between the turbidite and hemipelagic sequences. There were two probable drainage systems on the continent, the Frazer and Columbia rivers, which shed turbidites into the Cascadia Basin after 1.6 Ma, especially at 0.46-0.76 Ma. Based on a comparison of the modal and mineral compositions, the Northern Cascadia Basin has been supplied with sediments, mainly from the Frazer River, through the Straits of Juan de Fuca, by Pleistocene to Holocene turbidites.
description: Each numerical value shows a number of grain identified under EDS profile.
description: Supplement to: Kiyokawa, Shoichi; Yokoyama, Kazumi (2009): Provenance of turbidite sands from IODP EXP 1301 in the northwestern Cascadia Basin, western North America. Marine Geology, 260(1-4), 19-29
DOI: 10.1594/pangaea.875822
title: Meteorological synoptical observations from station Lindenberg (2011-04)
DOI: 10.1594/pangaea.747792
title: Meteorological observations during CAMEL cruise from Table Bay to Nore started at 1800-04-03
DOI: 10.1594/pangaea.746965
title: Meteorological observations during La Seine cruise from Rochefort to Quebec started at 1752-05-27
DOI: 10.1594/pangaea.915153
title: Other measurements at 10 m from station Rock Springs (2019-03)
DOI: 10.1594/pangaea.750527
title: Meteorological observations during LUCIPARAS cruise from Batavia to Nieuwediep started at 1848-12-25
DOI: 10.1594/pangaea.694570
title: Temperature and salinity in the water column of the Ionian Sea at Station MARCH-2000-IRI47

description: The 911plus set has been used. It consists of the 9plus underwater CTD unit and the 11plus V2 deck unit. It has high resolution sampling (24 Hz), pump-controlled T-C ducted flow, up to 10500 meter (15,000 psia) depth capability, maximum auxiliary sensor flexibility, and modem channel for water sampling control. The 911plus set has eight 12-bit A/D channels and supports redundant C&T sensors or custom auxiliary digital inputs.
DOI: 10.1594/pangaea.749574
title: Meteorological observations during HERCULES cruise from Bengal to Rammekens started at 1756-01-18
DOI: 10.1594/pangaea.749568
title: Meteorological observations during Henriette Clasina cruise from Batavia to Amsterdam started at 1835-12-08
DOI: 10.1594/pangaea.822411
title: Meteorological measurements in the upper air at station Balhash, 1957-08-31 to 1957-09-30, ERA-CLIM ID 4668
DOI: 10.1594/pangaea.664592
title: Oceanography at CTD/bottle station IFREMER_1432
DOI: 10.1594/pangaea.838192
title: Pollen profile STJORIOZ, France

description: This dataset was archived on 2014-11-03 from the EPD database (http://www.europeanpollendatabase.net).
DOI: 10.1594/pangaea.838049
title: Pollen profile MTRO2540, Switzerland

description: This dataset was archived on 2014-11-03 from the EPD database (http://www.europeanpollendatabase.net).
DOI: 10.1594/pangaea.705078
title: Basic and other measurements of radiation at station South Pole (2006-05)
DOI: 10.1594/pangaea.740445
title: Age determination of sediment core KARASYE, Karase Lake, Kazakhstan

description: This dataset was archived on 2010-05-11 from the EPD database (http://www.europeanpollendatabase.net).