cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.h92g0m
title: Occurrence Download

description: A dataset containing 57 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "Year 2009-2018",
 "TaxonKey is Bothrops asper (Garman, 1883)"
 ]
}

 The dataset includes 57 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012685-171219132708484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4zsehm
title: Occurrence Download

description: A dataset containing 406054 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-31.565747 32.097476, 2.479608666666667 32.097476, 2.479608666666667 49.184106666666665, -31.565747 49.184106666666665, -31.565747 32.097476))",
 "EventDate is 2016-09-01,2016-09-30"
 ]
}

 The dataset includes 406054 records from 694 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019478-240216155721649/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16836888
title: Cross-correlation functions for "Imaging magma pathway beneath Kirishima volcanoes by ambient noise tomography"

description: This dataset contains:

(1) Cross-correlation functions computed for each pair of seismic stations, used in Nagaoka et al. (2025). These are provided in SAC format. 

(2) Seismic station information, provided in station_list.csv.

(3) Programs to measure phase velocity anomalies using the cross-correlation data:



measure_cp_anomaly_rayleigh.f90: for Rayleigh waves

measure_cp_anomaly_love.f90: for Love waves


(4) See README.md for details.
DOI: 10.5281/zenodo.17077862
title: Cross-correlation functions for "Imaging magma pathway beneath Kirishima volcanoes by ambient noise tomography"

description: This dataset contains:

(1) Cross-correlation functions computed for each pair of seismic stations, used in Nagaoka et al. (2025). These are provided in SAC format. 

(2) Seismic station information, provided in station_list.csv.

(3) Programs to measure phase velocity anomalies using the cross-correlation data:



measure_cp_anomaly_rayleigh.f90: for Rayleigh waves

measure_cp_anomaly_love.f90: for Love waves


(4) See README.md for details.
DOI: 10.15468/dl.52g8c5
title: Occurrence Download

description: A dataset containing 1404 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Periophthalmodon schlosseri)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 1404 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009725-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.67t3bn
title: Occurrence Download

description: A dataset containing 513418 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is The Taiwan Breeding Bird Survey Data",
 "Year 2001-2018"
 ]
}

 The dataset includes 513418 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009715-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4121/2de552dc-108d-4446-9eb7-8b451e6ec072
title: Matlab files used to produce the figures in the publication: The onset of depletion-induced seismicity in slip-weakening faults with interacting peaked shear stresses: Uenishi and Rice extended.

description: This dataset contains the MATLAB code <em>Induced Fault Slip (IFS)</em> version 3.0 to simulate the depletion-induced growth of slip patches in an inclined displaced fault with constant or slip-weakening friction. It employs a semi-analytical approach with the aid of expansions in Chebyshev polynomials and Gauss-Chebyshev quadrature. It has been used to produce most figures in the following two publications:<br>[1] Jansen, J.D. and Meulenbroek, B.J., 2025: The onset of depletion-induced seismicity in slip-weakening faults with interacting peaked shear stresses: Uenishi and Rice extended. Accepted for publication in <em>Journal of Geophysical Research – Solid Earth.</em><br> [2] Meulenbroek, B.J. and Jansen, J.D., 2024: The use of Cauchy-type singular integrals over neighboring intervals to compute induced slip in displaced faults. <em>International Journal of Solids and Structures </em><strong>300</strong>, 112922. https://doi.org/10.1016/j.ijsolstr.2024.112922 The files have been prepared for MATLAB R2021b. This collection contains three main files: <em>ifs.main.m</em>, <em>ifs_main_UandR_convergence.m</em> and <em>ifs_main_nucleation.m</em>. Main file <em>ifs_main.m</em> is the most important file which drives most of the computations and produces most of the figures. The other two main files (<em>ifs_main_UandR_convergence.m</em> and <em>ifs_main_nucleation.m</em>) are dedicated files to produce Figures 6, 7, 10 and D.1 of reference [1]. Within <em>ifs_main.m</em>, there is an option to select three input files:01 = Example – This file creates most of the plots for reference [1] and Figure 4 for reference [2].02 = Depletion in a reservoir with a symmetric displaced vertical fault – This file creates plots that are not used in the publications.04 = Example with small and large relative fault throws - This file creates several plots for reference [1].06 = Nucleation as function of fault throw - This input file is only relevant for main file ifs_main_nucleation.m to create Figure 10 for reference [1]. <em>ifs_main_nucleation.m</em> has an option to produce new results (time consuming – 1 to 2 hours) or to recreate results from data stored in directory <em>IFS output files</em> (see the setting of <em>flag_from_file</em>). To run these files, change the path in "admin.path_out" (see line 62 in <em>ifs_main.m</em>, and line 50 in <em>ifs_main_nucleation.m</em>).
DOI: 10.4121/2de552dc-108d-4446-9eb7-8b451e6ec072.v2
title: Matlab files used to produce the figures in the publication: The onset of depletion-induced seismicity in slip-weakening faults with interacting peaked shear stresses: Uenishi and Rice extended.

description: This dataset contains the MATLAB code <em>Induced Fault Slip (IFS)</em> version 3.0 to simulate the depletion-induced growth of slip patches in an inclined displaced fault with constant or slip-weakening friction. It employs a semi-analytical approach with the aid of expansions in Chebyshev polynomials and Gauss-Chebyshev quadrature. It has been used to produce most figures in the following two publications:<br>[1] Jansen, J.D. and Meulenbroek, B.J., 2025: The onset of depletion-induced seismicity in slip-weakening faults with interacting peaked shear stresses: Uenishi and Rice extended. Accepted for publication in <em>Journal of Geophysical Research – Solid Earth.</em><br> [2] Meulenbroek, B.J. and Jansen, J.D., 2024: The use of Cauchy-type singular integrals over neighboring intervals to compute induced slip in displaced faults. <em>International Journal of Solids and Structures </em><strong>300</strong>, 112922. https://doi.org/10.1016/j.ijsolstr.2024.112922 The files have been prepared for MATLAB R2021b. This collection contains three main files: <em>ifs.main.m</em>, <em>ifs_main_UandR_convergence.m</em> and <em>ifs_main_nucleation.m</em>. Main file <em>ifs_main.m</em> is the most important file which drives most of the computations and produces most of the figures. The other two main files (<em>ifs_main_UandR_convergence.m</em> and <em>ifs_main_nucleation.m</em>) are dedicated files to produce Figures 6, 7, 10 and D.1 of reference [1]. Within <em>ifs_main.m</em>, there is an option to select three input files:01 = Example – This file creates most of the plots for reference [1] and Figure 4 for reference [2].02 = Depletion in a reservoir with a symmetric displaced vertical fault – This file creates plots that are not used in the publications.04 = Example with small and large relative fault throws - This file creates several plots for reference [1].06 = Nucleation as function of fault throw - This input file is only relevant for main file ifs_main_nucleation.m to create Figure 10 for reference [1]. <em>ifs_main_nucleation.m</em> has an option to produce new results (time consuming – 1 to 2 hours) or to recreate results from data stored in directory <em>IFS output files</em> (see the setting of <em>flag_from_file</em>). To run these files, change the path in "admin.path_out" (see line 62 in <em>ifs_main.m</em>, and line 50 in <em>ifs_main_nucleation.m</em>).
DOI: 10.15468/dl.qmz7up
title: Occurrence Download

description: A dataset containing 432 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ostrea chilensis",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is one of (Absent)"
 ]
 }
 }
 ]
}

 The dataset includes 432 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009726-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vrt4hu
title: Occurrence Download

description: A dataset containing 78 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Leucanthemella serotina",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 78 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009728-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xewden
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Leucanthemella serotina",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 36 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009729-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.umjk38
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Leucanthemella serotina",
 "Country is Netherlands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 7 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009727-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z7yzqp
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Acrochaetium moniliforme",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Living Specimen, Occurrence evidence)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009667-250914085247600/datasets/export for details.
DOI: 10.15468/dl.aveh5g
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ostrea denselamellosa",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is one of (Absent)"
 ]
 }
 }
 ]
}

 The dataset includes 22 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009730-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16949231
title: Physico-chemical properties of sediment deposits of the March 2024 flooding of the Seine River, along with contamination in metals, pesticides, pharmaceuticals, drugs and lifestyle products

description: Sediment was collected on the quays along the Seine River across Paris City following the flood of March 2024. The objective was to measure a panel of potential contaminants in sediment deposited by the Seine River before the Paris 2024 Olympics. 

Fallout radionuclide (137Cs, 7Be, 210Pb) activities were analysed by gamma spectrometry using hyperpure germanium detectors at the Laboratoire des Sciences du Climat et de l’Environnement (LSCE, Paris-Saclay, France). Major, minor and trace elemental concentrations were analysed at the same laboratory with an Inductively Coupled Plasma – Mass Spectrometer equipped with 3 quadrupoles (TQ-ICP-MS, Thermo ScientificTM iCAPTM).  Stable radiogenic lead isotope (206Pb, 207Pb, 208Pb) ratios were also determined (Briard et al., 2023). Particle size distribution was analysed with a laser diffraction particle size analyser (Mastersizer 3000 with Hydro LV, Malvern Panalytical) and Total Organic Carbon (TOC) was quantified using a Rock-Eval 6 equipment. Pharmaceutical products and pesticides were analysed following the protocol described by Thiebault et al. (2021), and lifestyle products following the methodology described by Bernier-Turpin et al. (2025).

This dataset is described and interpreted in a manuscript submitted for publication in an international journal.

References

Bernier-Turpin, G., Moilleron, R., Cenik, C., Alliot, F., Guerin-Rechdaoui, S., Thiebault, T., 2025. Do suspended particles matter for wastewater-based epidemiology? Water Research, 280: 123543.

Briard, J., Ayrault, S., Roy-Barman, M., Bordier, L., L'Heritier, M., Azema, A., Syvilay, D. and Baron, S., 2023. Determining the geochemical fingerprint of the lead fallout from the Notre-Dame de Paris fire: Lessons for a better discrimination of chemical signatures. Science of Total Environment, 864: 160676. 

Thiebault, T., Alliot, F., Berthe, T., Blanchoud, H., Petit, F., Guigon, E., 2021. Record of trace organic contaminants in a river sediment core: From historical wastewater management to historical use. Science of Total Environment, 773: 145694.
DOI: 10.5281/zenodo.16949230
title: Physico-chemical properties of sediment deposits of the March 2024 flooding of the Seine River, along with contamination in metals, pesticides, pharmaceuticals, drugs and lifestyle products

description: Sediment was collected on the quays along the Seine River across Paris City following the flood of March 2024. The objective was to measure a panel of potential contaminants in sediment deposited by the Seine River before the Paris 2024 Olympics. 

Fallout radionuclide (137Cs, 7Be, 210Pb) activities were analysed by gamma spectrometry using hyperpure germanium detectors at the Laboratoire des Sciences du Climat et de l’Environnement (LSCE, Paris-Saclay, France). Major, minor and trace elemental concentrations were analysed at the same laboratory with an Inductively Coupled Plasma – Mass Spectrometer equipped with 3 quadrupoles (TQ-ICP-MS, Thermo ScientificTM iCAPTM).  Stable radiogenic lead isotope (206Pb, 207Pb, 208Pb) ratios were also determined (Briard et al., 2023). Particle size distribution was analysed with a laser diffraction particle size analyser (Mastersizer 3000 with Hydro LV, Malvern Panalytical) and Total Organic Carbon (TOC) was quantified using a Rock-Eval 6 equipment. Pharmaceutical products and pesticides were analysed following the protocol described by Thiebault et al. (2021), and lifestyle products following the methodology described by Bernier-Turpin et al. (2025).

This dataset is described and interpreted in a manuscript submitted for publication in an international journal.

References

Bernier-Turpin, G., Moilleron, R., Cenik, C., Alliot, F., Guerin-Rechdaoui, S., Thiebault, T., 2025. Do suspended particles matter for wastewater-based epidemiology? Water Research, 280: 123543.

Briard, J., Ayrault, S., Roy-Barman, M., Bordier, L., L'Heritier, M., Azema, A., Syvilay, D. and Baron, S., 2023. Determining the geochemical fingerprint of the lead fallout from the Notre-Dame de Paris fire: Lessons for a better discrimination of chemical signatures. Science of Total Environment, 864: 160676. 

Thiebault, T., Alliot, F., Berthe, T., Blanchoud, H., Petit, F., Guigon, E., 2021. Record of trace organic contaminants in a river sediment core: From historical wastewater management to historical use. Science of Total Environment, 773: 145694.
DOI: 10.15468/dl.5cuey7
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ligularia dentata",
 "Country is Austria",
 "HasCoordinate is true"
 ]
}

 The dataset includes 18 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009733-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cs6p4j
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ligularia dentata",
 "Country is Belgium",
 "HasCoordinate is true"
 ]
}

 The dataset includes 33 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009734-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sbh2ec
title: Occurrence Download

description: A dataset containing 19498 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ostrea edulis",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is one of (Absent)"
 ]
 }
 }
 ]
}

 The dataset includes 19498 records from 158 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009732-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5sedb3
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ligularia dentata",
 "Country is Denmark",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009735-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4pwzj7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ostreola conchaphila",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is one of (Absent)"
 ]
 }
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009736-250914085247600/datasets/export for details.
DOI: 10.15468/dl.quy5zb
title: Occurrence Download

description: A dataset containing 149 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ligularia dentata",
 "Country is Netherlands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 149 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009737-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5t3kzm
title: Occurrence Download

description: A dataset containing 43 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ligularia dentata",
 "Country is Norway",
 "HasCoordinate is true"
 ]
}

 The dataset includes 43 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009738-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dpdnv7
title: Occurrence Download

description: A dataset containing 164 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ligularia dentata",
 "Country is Sweden",
 "HasCoordinate is true"
 ]
}

 The dataset includes 164 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009740-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25919/d5z4-wv89
title: RV Investigator Voyage IN2025_V04 End of Voyage (EOV) Archive

description: This record describes the End of Voyage (EOV) data archive from the Marine National Facility (MNF) RV Investigator voyage IN2025_V04, titled "Untangling the causes of change over 25 years in the southeast marine ecosystem - Voyage IV (SEA-MES Voyage 4)." The voyage took place between May 27, 2025 and June 28, 2025 (AEST), departing from Hobart and returning to Hobart.

For further information please refer to the voyage documentation links.

Instruments used and data collected include:
Regular measurements:
Lowered ADCP (LADCP), Acoustic Doppler Current Profiler (ADCP; 75, 150 KHz ), Greenhouse Gas Analysers (Picarro), Cloud Condensation Nuclei counter (CCN), Mobility particle size spectrometer (MPSS), Disdrometer, Radon sensor, CTD, Hydrochemistry, pCO2, Fisheries Echosounder (EK80), Multibeam Echosounder (EM712, EM124), Sub-bottom Profiler (SBP29), Condensation Particle Counters (CPC), GPS Positioning System, Doppler Velocity Log, Infrared Sea Surface Temperature Autonomous Radiometer (ISAR), ITI Trawl Net, Atmospheric Temperature, Humidity, Pressure, Wind and Rain sensors, Photosynthetically Active Radiation (PAR) sensor, Precision Infrared Radiometer (PIR), Precision Spectral Pyranometer (PSP), Starboard and Portside Radiometers, Ozone Sensor, Thermosalinographs (TSG), Fluorometer, Oxygen Optode, Submersible Ultraviolet Nitrate Analyser (SUNA), Gravimeter, Ultra Short BaseLine Underwater Positioning System (USBL), Weather Radar.

Voyage-specific measurements:
Black Carbon sensor (Aethalometer), Deep Towed Camera (DTC), Multiple Plankton Sampler (HydroBIOS Multinet), Micro Rain Radar (MRR), Wildlife Observations (seabirds, cetaceans and seals).

The archive for the IN2025_V04 EOV raw data is curated by the CSIRO National Collections and Marine Infrastructure (NCMI) Information and Data Centre (IDC) in Hobart, with a permanent archive at the CSIRO Data Access Portal (https://data.csiro.au/), providing access to voyage participants and processors of the data collected on the voyage.

All voyage documentation is available electronically to MNF support via the local network. Applications to access voyage documentation by non-CSIRO participants can be made via data-requests-hf@csiro.au All processed data from this voyage are made publicly available through the MNF Data Trawler (in the related links)