cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7483/opendata.cms.fvx7.om1x
title: /WHToMuMuG_M120_Dalitz_012j_TuneCP5_13TeV_amcatnloFXFX_pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.zpy8.vib7
title: /WHToMuMuG_M120_Dalitz_012j_TuneCP5_13TeV_amcatnloFXFX_pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.y4lt.qpu4
title: /WHToMuMuG_M120_Dalitz_012j_TuneCP5Down_13TeV_amcatnloFXFX_pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v3/MINIAODSIM
DOI: 10.5281/zenodo.14279029
title: supplementary material for "Analyzing the joint effect of volcanic carbon and sulfur emissions on the marine carbon cycle", for Geochemistry, Geophysics, Geosystems

description: (I) PCO2SYS Calculations

Additional PCO2SYS calculations for various water depths and TA-DIC combinations : We provide a number of additional PCO2SYS calculations analogous to Figure 2 in the main text. These include (a) TA vs DIC plots (showing ocean pH and pCO2) for a wide range of ocean depths and ocean water temperatures, and (b) TA vs pH and pCO2 for different ocean water temperatures (at a few DIC values) and for shallow & deep ocean depths respectively.

(V) Plotting Notebooks

We provide our LOSCAR output and eruption history data files, along with IPython Jupyter notebook code to plot the various main text and supplementary figures.
DOI: 10.5281/zenodo.13760341
title: supplementary material for "Analyzing the joint effect of volcanic carbon and sulfur emissions on the marine carbon cycle", for Geochemistry, Geophysics, Geosystems

description: (I) PCO2SYS Calculations

Additional PCO2SYS calculations for various water depths and TA-DIC combinations : We provide a number of additional PCO2SYS calculations analogous to Figure 2 in the main text. These include (a) TA vs DIC plots (showing ocean pH and pCO2) for a wide range of ocean depths and ocean water temperatures, and (b) TA vs pH and pCO2 for different ocean water temperatures (at a few DIC values) and for shallow & deep ocean depths respectively.

(V) Plotting Notebooks

We provide our LOSCAR output and eruption history data files, along with IPython Jupyter notebook code to plot the various main text and supplementary figures.
DOI: 10.5281/zenodo.13760340
title: supplementary material for "Analyzing the joint effect of volcanic carbon and sulfur emissions on the marine carbon cycle", for Geochemistry, Geophysics, Geosystems

description: We provide our LOSCAR output and eruption history data files, along with IPython Jupyter notebook code to plot the various main text and supplementary figures.

Please see README.txt for more information.
DOI: 10.5281/zenodo.14661404
title: supplementary material for "Analyzing the joint effect of volcanic carbon and sulfur emissions on the marine carbon cycle", for Geochemistry, Geophysics, Geosystems

description: We provide our LOSCAR output and eruption history data files, along with IPython Jupyter notebook code to plot the various main text and supplementary figures.

Please see README.txt for more information.
DOI: 10.5281/zenodo.14661410
title: Caura Dataset 2022
DOI: 10.5281/zenodo.14661411
title: Caura Dataset 2022
DOI: 10.15468/dl.mtk3py
title: Occurrence Download

description: A dataset containing 2841 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pterois volitans (Linnaeus, 1758)",
 "Year 2018-2023"
 ]
}

 The dataset includes 2841 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072053-241126133413365/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.25981552
title: Site location for Diaphorina citri Surveilance, Indonesia 2022-2023

description: the site during surveillance of ACP in citrus orchard spreading in over indonesia
DOI: 10.6084/m9.figshare.25981552.v1
title: Site location for Diaphorina citri Surveilance, Indonesia 2022-2023

description: the site during surveillance of ACP in citrus orchard spreading in over indonesia
DOI: 10.15468/dl.eqtsky
title: Occurrence Download

description: A dataset listing the 8 species recorded in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 {
 "or" : [
 "DatasetKey is one of (NABU|naturgucker, Flora von Deutschland (Phanerogamen), VegetWeb - Repositorium von Vegetationsaufnahmen, Insekten Sachsen, iNaturalist Research-grade Observations, Harmonised freshwater fish occurrence and abundance data for 12 federal states in Germany, Observation.org, Nature data from around the World, EOD – eBird Observation Dataset, The Spider Collection at the Staatliches Museum für Naturkunde Karlsruhe, Neuropteren Deutschlands (Neuropterida of Germany), ArtenFinder, Occurrence Data of Vascular Plants collected or compiled for the Flora of Bavaria, Floristic records from survey studies of the Bayerisches Landesamt für Umwelt, Historical Vertebrate Distributions in Bavaria 1845, Biodiversity data of gravel pit lakes in Northern Germany, Found Animal Survey Germany, Tierfund-Kataster Deutschland (TFK-D))",
 "PublishingOrg is one of (57254bd0-8256-11d8-b7ed-b8a03c50a862, 0674aea0-a7e1-11d8-9534-b8a03c50a862, 10980920-6dad-11da-ad13-b8a03c50a862, 99ea0c90-61e5-11dc-a64c-b8a03c50a862, 463555b0-d081-11da-ae8f-b8a03c50a862, 6e1cad80-bdf5-11d8-84ea-b8a03c50a862, c76cf030-2a95-11da-9cc1-b8a03c50a862, 48490260-8fc0-11dd-be72-b8a03c50a862, 98dbab03-09e5-4ceb-988e-04f3e803decb)",
 "NetworkKey is one of (d1627240-04ab-4162-aee9-b16df6bc8308, 3aee7756-565e-4dc5-b22c-f997fbd7105c)"
 ]
 },
 "Country is Germany",
 {
 "not" : {
 "HasGeospatialIssue" : [
 "is true"
 ]
 }
 }
 ]
 },
 {
 "and" : [
 "TaxonKey is one of (Aves, Plantae, Tracheophyta, Animalia, Magnoliopsida, Chordata, Passeriformes, Arthropoda, Insecta, Liliopsida)",
 "DatasetKey is one of (EOD – eBird Observation Dataset, Flora von Deutschland (Phanerogamen), NABU|naturgucker, ArtenFinder, Insekten Sachsen, iNaturalist Research-grade Observations, Occurrence Data of Vascular Plants collected or compiled for the Flora of Bavaria, Floristic records from survey studies of the Bayerisches Landesamt für Umwelt, Observation.org, Nature data from around the World, VegetWeb - Repositorium von Vegetationsaufnahmen)",
 "Locality is one of (paul-gerhardt-straße 25, teltow de-brandenburg 52.41437, 13.29561)"
 ]
 }
 ]
}

 The dataset's 8 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037932-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vg25m5
title: Occurrence Download

description: A dataset containing 712015 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "MediaType is Image",
 {
 "or" : [
 "ScientificName is Achillea millefolium L.",
 "ScientificName is Centaurea jacea L.",
 "ScientificName is Poales",
 "ScientificName is Lotus corniculatus L.",
 "ScientificName is Medicago lupulina L.",
 "ScientificName is Plantago lanceolata L.",
 "ScientificName is Scorzoneroides autumnalis (L.) Moench",
 "ScientificName is Trifolium pratense L."
 ]
 }
 ]
}

 The dataset includes 712015 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037907-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5qkp9u
title: Occurrence Download

description: A dataset containing 91 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "TaxonKey is Uropeltis ellioti (Gray, 1858)"
 ]
}

 The dataset includes 91 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037944-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wkyufb
title: Occurrence Download

description: A dataset containing 127 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Ganges river dolphin distributions in the Vikramshila Gangetic Dolphin Sanctuary, Bihar - 2008"
 ]
}

 The dataset includes 127 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037948-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5w4fe7
title: Occurrence Download

description: A dataset containing 22826 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chrysojasminum fruticans (L.) Banfi",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 22826 records from 317 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037947-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5j256p
title: Occurrence Download

description: A dataset containing 454 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Botswana",
 "TaxonKey is Adansonia digitata L."
 ]
}

 The dataset includes 454 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037950-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/12140730
title: World Stock Prices ( Daily Updating )
DOI: 10.15468/dl.fgwy8g
title: Occurrence Download

description: A dataset containing 276466 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Fossil)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Carnivora"
 ]
}

 The dataset includes 276466 records from 364 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037929-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.85je6x
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Taxus baccata L.",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037951-250525065834625/datasets/export for details.
DOI: 10.15468/dl.mdc8m5
title: Occurrence Download

description: A dataset containing 532 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is India",
 "TaxonKey is Daboia russelii (Shaw & Nodder, 1797)",
 "Year 2019-2025"
 ]
}

 The dataset includes 532 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037952-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15646773
title: Ontogenetic shifts in the diet of prawns during migration from shallow nursery habitats to offshore fishing grounds DATA+CODE
DOI: 10.5281/zenodo.15646774
title: Ontogenetic shifts in the diet of prawns during migration from shallow nursery habitats to offshore fishing grounds DATA+CODE
DOI: 10.5281/zenodo.11397879
title: Learning topological states from randomized measurements using variational tensor network tomography

description: Dataset for paper Learning topological states from randomized measurements using variational tensor network tomography.The numerical code can be found at the repo: https://github.com/teng10/tn-shadow-qst
DOI: 10.5281/zenodo.15647045
title: Learning topological states from randomized measurements using variational tensor network tomography

description: Dataset for paper Learning topological states from randomized measurements using variational tensor network tomography.The numerical code can be found at the repo: https://github.com/teng10/tn-shadow-qst
DOI: 10.15468/dl.npgq8c
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "OccurrenceStatus is Present",
 "TaxonKey is Balaenoptera musculus (Linnaeus, 1758)"
 ]
}

 The dataset includes 22 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037954-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15647038
title: Harry Potter Semantic Dataset and Application

description: Ficheros .PHP, dataset y ontología
DOI: 10.5281/zenodo.15647039
title: Harry Potter Semantic Dataset and Application

description: Ficheros .PHP, dataset y ontología
DOI: 10.5281/zenodo.15269982
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.





ML factors.rar:The file contains all the input files for training machine learning with 17 factors and includes historical landslide data from around the world.




ML result.rar:This file is the result file of machine learning, which mainly includes the results of three runs. Normal is calculated using normal data. Winter is to replace the rainfall and NDVI data with winter, and summer is to replace the rainfall and NDVI data with summer. The file not only has these results, but also some analysis files, including the standard deviations of the normal seven models and the greater than less than calculation file after the model is subtracted, and the standard deviation file for the seven models. There are also files after summer and winter are subtracted.




huapoyifa2-14-new.py:This file is the code used for machine learning.




figures.rar:This file contains the image drawn by the final analysis results, which is a display of data analytics.
DOI: 10.15468/dl.mqdqcz
title: Occurrence Download

description: A dataset containing 458 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Hoolock hoolock (Harlan, 1834)"
 ]
}

 The dataset includes 458 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037955-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dxfgcn
title: Occurrence Download

description: A dataset containing 43663 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "TaxonKey is Pitta brachyura (Linnaeus, 1766)"
 ]
}

 The dataset includes 43663 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037953-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15269981
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.





ML factors.rar:The file contains all the input files for training machine learning with 17 factors and includes historical landslide data from around the world.




ML result.rar:This file is the result file of machine learning, which mainly includes the results of three runs. Normal is calculated using normal data. Winter is to replace the rainfall and NDVI data with winter, and summer is to replace the rainfall and NDVI data with summer. The file not only has these results, but also some analysis files, including the standard deviations of the normal seven models and the greater than less than calculation file after the model is subtracted, and the standard deviation file for the seven models. There are also files after summer and winter are subtracted.




huapoyifa2-14-new.py:This file is the code used for machine learning.




figures.rar:This file contains the image drawn by the final analysis results, which is a display of data analytics.
DOI: 10.5281/zenodo.15646702
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.





ML factors.rar:The file contains all the input files for training machine learning with 17 factors and includes historical landslide data from around the world.




ML result.rar:This file is the result file of machine learning, which mainly includes the results of three runs. Normal is calculated using normal data. Winter is to replace the rainfall and NDVI data with winter, and summer is to replace the rainfall and NDVI data with summer. The file not only has these results, but also some analysis files, including the standard deviations of the normal seven models and the greater than less than calculation file after the model is subtracted, and the standard deviation file for the seven models. There are also files after summer and winter are subtracted.




huapoyifa2-14-new.py:This file is the code used for machine learning.




figures.rar:This file contains the image drawn by the final analysis results, which is a display of data analytics.
DOI: 10.15468/dl.p4pvyh
title: Occurrence Download

description: A dataset containing 1967 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "OccurrenceStatus is Present",
 "TaxonKey is Funambulus palmarum (Linnaeus, 1766)"
 ]
}

 The dataset includes 1967 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037956-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qbd263
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "OccurrenceStatus is Present",
 "TaxonKey is Dugong dugon (Müller, 1776)"
 ]
}

 The dataset includes 19 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037957-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vc88wy
title: Occurrence Download

description: A dataset containing 1906794 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Arenaria interpres (Linnaeus, 1758)"
 ]
}

 The dataset includes 1906794 records from 910 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037941-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f79h7e
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phlox pilosa subsp. detonsa (A.Gray) Wherry",
 "Year 2000-2025"
 ]
}

 The dataset includes 6 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003566-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3y3m86
title: Occurrence Download

description: A dataset containing 1352 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Zygia longifolia (Humb. & Bonpl. ex Willd.) Britton & Rose"
 ]
}

 The dataset includes 1352 records from 102 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003567-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.757512
title: Radiosonde measurements from station Ny-Ålesund (2010-04)

description: The Ny-Ålesund radiosonde program is part of the GCOS Reference Upper-Air Network (GRUAN). Please consider using the Ny-Alesund reference radiosonde data with higher temporal resolution and uncertainty values for all height levels, available via http://www.gruan.org.
DOI: 10.1594/pangaea.724970
title: Other measurements at 300 m from station Boulder (2009-02)
DOI: 10.1594/pangaea.825349
title: Radiosonde measurements from station Nauru Island (2004-08)

description: Version 4, 2014-01-06. Launches at irregular time intervals.
DOI: 10.1594/pangaea.724189
title: Other measurements at 10 m from station Southern Great Plains (2004-11)

description: Version 2, 2009-07-07
DOI: 10.1594/pangaea.754744
title: (Table 4b) Percentage ratio of biomass of different ichthyoplankton groups in near-surface night catches in the Western Pacific
DOI: 10.1594/pangaea.477873
title: Hydrochemistry measured on water bottle samples at station SPac_1971_HH_150-100W/15

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.670673
title: Basic and other measurements of radiation at station Ny-Ålesund (1997-05)
DOI: 10.1594/pangaea.775724
title: (Table T7) Major element oxides of phyllosilicates other than brown micas from ODP Site 206-1256 lava pond
DOI: 10.1594/pangaea.694242
title: Nutrient concentrations in water samples from the Aegean Sea at Station MAY-1997-IR12
DOI: 10.1594/pangaea.694846
title: Concentrations of chlorophyll-alpha in water of the Aegean Sea at Station FEBR-1999-MNB6

description: Samples from 2 l of sea water were filtered through polycarbonate Millipore filters. The filters were kept deep frozen and analyzed according to Holm-Hansen et al. (Holm-Hansen, O., Lorenzen, C.J., Holmes, R.W., Strickland, J.D.H. 1965. Fluorometric determination of chlorophyll. Journal du Conseil Permanent International Pour l'Exploration de la Mer 30, 3-15).
DOI: 10.1594/pangaea.723375
title: Basic measurements of radiation at station Billings (1994-01)

description: Version 2, 2009-07-02
DOI: 10.1594/pangaea.618835
title: Hydrometeorological characteristics along the Laptev Sea coast during Expedition LENA 99 (Table A4-7)
DOI: 10.1594/pangaea.663576
title: Oceanography at CTD/bottle station IFREMER_0416
DOI: 10.1594/pangaea.696187
title: Total organic carbon in waters of the Arabian Sea in sommer 1995 at Station M32/5_402