cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.tfk7en
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Troglodytes troglodytes (Linnaeus, 1758)",
 "Year is 21",
 "Country is Netherlands"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003226-241107131044228/datasets/export for details.
DOI: 10.15468/dl.8bzgdg
title: Occurrence Download

description: A dataset containing 25523 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Rhizophora mangle L."
 ]
}

 The dataset includes 25523 records from 270 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003224-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vjnptk
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Haematopus ostralegus Linnaeus, 1758",
 "Year is 6",
 "Country is Netherlands"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003230-241107131044228/datasets/export for details.
DOI: 10.15468/dl.2msdce
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dendrocopos major (Linnaeus, 1758)",
 "Year is 21",
 "Country is Netherlands"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003231-241107131044228/datasets/export for details.
DOI: 10.15468/dl.dt49fm
title: Occurrence Download

description: A dataset containing 243 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Didemnum vexillum Kott, 2002",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 243 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003232-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gdu5qd
title: Occurrence Download

description: A dataset containing 804 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Naja naja (Linnaeus, 1758)"
 ]
}

 The dataset includes 804 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003234-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q8r7yr
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Apus apus (Linnaeus, 1758)",
 "Year is 7",
 "Country is Netherlands"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003235-241107131044228/datasets/export for details.
DOI: 10.18419/darus-444
title: First Steps with DaRUS
title: Subtitle

description: Instructions for the first steps with DaRUS
DOI: 10.18419/darus-444/1
title: FirstStepswithDaRUS.pdf

description: Slides for the Introduction to DaRUS for Users
DOI: 10.15468/dl.hqnqhh
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Troglodytes troglodytes (Linnaeus, 1758)",
 "Year is 22",
 "Country is Netherlands"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003236-241107131044228/datasets/export for details.
DOI: 10.15468/dl.z7t2v6
title: Occurrence Download

description: A dataset containing 193 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bassaricyon neblina Helgen, Pinto, Kays, Helgen, Tsuchiya, Quinn, Wilson & Maldonado, 2013",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 193 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003237-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2fmvvq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Haematopus ostralegus Linnaeus, 1758",
 "Year is 7",
 "Country is Netherlands"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003238-241107131044228/datasets/export for details.
DOI: 10.18112/openneuro.ds005619.v1.0.0
title: [18F]SF51, a Novel 18F-labeled PET Radioligand for Translocator Protein 18kDa (TSPO) in Brain, Works Well in Monkeys but Fails in Humans
DOI: 10.15468/dl.7nwnf3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dendrocopos major (Linnaeus, 1758)",
 "Year is 22",
 "Country is Netherlands"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003239-241107131044228/datasets/export for details.
DOI: 10.15468/dl.jk3w5u
title: Occurrence Download

description: A dataset containing 109 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is In situ observations of Stygiomedusa gigantea"
 ]
}

 The dataset includes 109 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003240-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ap6cqy
title: Occurrence Download

description: A dataset containing 35198 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Podarcis muralis (Laurenti, 1768)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 35198 records from 482 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026015-241024112534372/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.27617442
title: Dataset for An Ultraviolet Raman Spectral Library of 21 Organic Compounds and 41 minerals for planetary exploration on Mars

description: Searching for life on Mars can help us understand the origins and evolution of life, and it has always been a primary scientific goal of Mars exploration missions by different countries. Raman spectroscopy has numerous advantages in detecting different materials, such as gathering chemical composition and crystal structure, etc., specifically, ultraviolet Raman spectroscopy which is especially suitable for identifying organic compounds has been deployed on Mars. In this study, an independent UV Raman spectroscopy system is built to explore the potential of ultraviolet Raman spectroscopy in planetary exploration and astrobiology. Based on this system, a ground-based Raman reference library was established, including 41 minerals and 21 organic compounds related to Martian biosignatures. The results indicate that the self-built UV Raman system can identify significant characteristic peaks in different materials that would provide valuable and good references for identifying organics on Mars.
DOI: 10.15468/dl.w2m6vn
title: Occurrence Download

description: A dataset containing 388 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lacerta schreiberi Bedriaga, 1878",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 388 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026018-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9v7ghb
title: Occurrence Download

description: A dataset containing 561 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-97.48828 15.46572,-79.01214 15.46572,-79.01214 31.26583,-97.48828 31.26583,-97.48828 15.46572))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Octopus vulgaris Cuvier, 1797"
 ]
}

 The dataset includes 561 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026019-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.krfaq9
title: Occurrence Download

description: A dataset containing 101535 species occurrences available in GBIF matching the query:
{
 "GenusKey" : [
 "is Aralia L."
 ]
}

 The dataset includes 101535 records from 756 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025932-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hecn6y
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Algyroides marchi Valverde, 1958",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 13 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026022-241024112534372/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.27569613
title: Appendix A - Raw Temperature Data

description: <i>Figure Captions</i><br>Raw Temperature Data - All temperature data collected from the QPS013 Temperature and Humidity Logger inside Cathedral Cave, Wellington NSW, Australia. These data points range from 1 December 2020 - 14 June 2022. All times also include a unique plot identifier number that was used for arranging the time series data correctly for peak analysis and identify the correct times for temperature peaks.<br><br><i>Abstract</i><br>Show caves are caves that have been made accessible for guided public visits and are a large tourism industry globally, amassing $850 million per year. However, with the increase of people entering these caves, there is an increased concern of the impact that people may have on the condition of the caves. This has brought attention within the caves, as the attraction of tourists can build up and raise the temperature, in comparison to their natural range. To assist in the understanding of human impacts on cave temperature levels, the study compiled temperature data from a probe within Cathedral Cave, Wellington NSW, Australia and compiled into a database, which was used to create a time series for analysis of significant temperature peaks, which was then compared with visitor numbers within the cave system. These comparisons were analysed using several linear regressions and scatter plots, to determine what the major temperature peak trends. The research found that there were three key factors on the change in temperature: the size of a tour, the time of day that a tour takes place in and the tour composition (i.e. the number of adults vs children). These factors were found to display a range of impacts upon how the temperature would change, in comparison to the baseline data that was collected by the same logger which showed no temperature changes in the absence of visitors. Potential new avenues for research includes restrictions of tour sizes, detailed studies into the impacts of children, seasonal variabilities, the value in multiple, more accurate climate loggers and looking at other caves. This can be used to help cave management in the future, balancing displaying the cave’s natural beauty with the health of the cave ecosystem.
DOI: 10.6084/m9.figshare.27569613.v1
title: Appendix A - Raw Temperature Data

description: <i>Figure Captions</i><br>Raw Temperature Data - All temperature data collected from the QPS013 Temperature and Humidity Logger inside Cathedral Cave, Wellington NSW, Australia. These data points range from 1 December 2020 - 14 June 2022. All times also include a unique plot identifier number that was used for arranging the time series data correctly for peak analysis and identify the correct times for temperature peaks.<br><br><i>Abstract</i><br>Show caves are caves that have been made accessible for guided public visits and are a large tourism industry globally, amassing $850 million per year. However, with the increase of people entering these caves, there is an increased concern of the impact that people may have on the condition of the caves. This has brought attention within the caves, as the attraction of tourists can build up and raise the temperature, in comparison to their natural range. To assist in the understanding of human impacts on cave temperature levels, the study compiled temperature data from a probe within Cathedral Cave, Wellington NSW, Australia and compiled into a database, which was used to create a time series for analysis of significant temperature peaks, which was then compared with visitor numbers within the cave system. These comparisons were analysed using several linear regressions and scatter plots, to determine what the major temperature peak trends. The research found that there were three key factors on the change in temperature: the size of a tour, the time of day that a tour takes place in and the tour composition (i.e. the number of adults vs children). These factors were found to display a range of impacts upon how the temperature would change, in comparison to the baseline data that was collected by the same logger which showed no temperature changes in the absence of visitors. Potential new avenues for research includes restrictions of tour sizes, detailed studies into the impacts of children, seasonal variabilities, the value in multiple, more accurate climate loggers and looking at other caves. This can be used to help cave management in the future, balancing displaying the cave’s natural beauty with the health of the cave ecosystem.
DOI: 10.15468/dl.z78ce2
title: Occurrence Download

description: A dataset containing 558 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is IDN.31_1",
 "TaxonKey is Rhizophoraceae",
 "Year 2010-2024"
 ]
}

 The dataset includes 558 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026021-241024112534372/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.27569616
title: Appendix B - Visitor Numbers + Temperature Peaks

description: <i>Figure Captions</i><br>Visitor Numbers + Temperature Peaks - Cleaned dataset containing Tour times for Cathedral Cave, Wellington NSW, Australia, as well as tour sizes, both by total and ticket type breakdown. The tours also contain the total change in temperature peaks found in Appendix D that was matched with a tour time.<br><br><i>Abstract</i><br>Show caves are caves that have been made accessible for guided public visits and are a large tourism industry globally, amassing $850 million per year. However, with the increase of people entering these caves, there is an increased concern of the impact that people may have on the condition of the caves. This has brought attention within the caves, as the attraction of tourists can build up and raise the temperature, in comparison to their natural range. To assist in the understanding of human impacts on cave temperature levels, the study compiled temperature data from a probe within Cathedral Cave, Wellington NSW, Australia and compiled into a database, which was used to create a time series for analysis of significant temperature peaks, which was then compared with visitor numbers within the cave system. These comparisons were analysed using several linear regressions and scatter plots, to determine what the major temperature peak trends. The research found that there were three key factors on the change in temperature: the size of a tour, the time of day that a tour takes place in and the tour composition (i.e. the number of adults vs children). These factors were found to display a range of impacts upon how the temperature would change, in comparison to the baseline data that was collected by the same logger which showed no temperature changes in the absence of visitors. Potential new avenues for research includes restrictions of tour sizes, detailed studies into the impacts of children, seasonal variabilities, the value in multiple, more accurate climate loggers and looking at other caves. This can be used to help cave management in the future, balancing displaying the cave’s natural beauty with the health of the cave ecosystem.
DOI: 10.6084/m9.figshare.27569616.v1
title: Appendix B - Visitor Numbers + Temperature Peaks

description: <i>Figure Captions</i><br>Visitor Numbers + Temperature Peaks - Cleaned dataset containing Tour times for Cathedral Cave, Wellington NSW, Australia, as well as tour sizes, both by total and ticket type breakdown. The tours also contain the total change in temperature peaks found in Appendix D that was matched with a tour time.<br><br><i>Abstract</i><br>Show caves are caves that have been made accessible for guided public visits and are a large tourism industry globally, amassing $850 million per year. However, with the increase of people entering these caves, there is an increased concern of the impact that people may have on the condition of the caves. This has brought attention within the caves, as the attraction of tourists can build up and raise the temperature, in comparison to their natural range. To assist in the understanding of human impacts on cave temperature levels, the study compiled temperature data from a probe within Cathedral Cave, Wellington NSW, Australia and compiled into a database, which was used to create a time series for analysis of significant temperature peaks, which was then compared with visitor numbers within the cave system. These comparisons were analysed using several linear regressions and scatter plots, to determine what the major temperature peak trends. The research found that there were three key factors on the change in temperature: the size of a tour, the time of day that a tour takes place in and the tour composition (i.e. the number of adults vs children). These factors were found to display a range of impacts upon how the temperature would change, in comparison to the baseline data that was collected by the same logger which showed no temperature changes in the absence of visitors. Potential new avenues for research includes restrictions of tour sizes, detailed studies into the impacts of children, seasonal variabilities, the value in multiple, more accurate climate loggers and looking at other caves. This can be used to help cave management in the future, balancing displaying the cave’s natural beauty with the health of the cave ecosystem.
DOI: 10.5281/zenodo.13836930
title: Wav files for Audio Moment Retrieval (Part 5)

description: This page includes wav files of three datasets used in  Language-based audio moment retrieval [1].



Clotho-Moment

UnAV100-subset

TUT Sound Events 2017


Please download all parts (from Part 1 to Part 4).



https://zenodo.org/records/13836117

https://zenodo.org/records/13836248

https://zenodo.org/records/13836250

https://zenodo.org/records/13836252

https://zenodo.org/records/13836931


[1] H. Munakata, T. Nishimura, S. Nakada, T. Komatsu, "Language-based Audio Moment Retrieval", 2024, under review.

How to Use

Unzip the file with the following commandsClotho-moment: 

for file in clotho-moment_wav.tar.part-*.gz; do gunzip "$file"; done
clotho-moment_wav.tar.part-* > clotho-moment_wav.tar
tar -xvf clotho-moment_wav.tar


UnAV100-subset, TUT Sound Events 2017: 

tar -xvf tut2017_wav.tar.gz
tar -xvf unav100-subset_wav.tar.gz
DOI: 10.5281/zenodo.13836931
title: Wav files for Audio Moment Retrieval (Part 5)

description: This page includes wav files of three datasets used in  Language-based audio moment retrieval [1].



Clotho-Moment

UnAV100-subset

TUT Sound Events 2017


Please download all parts (from Part 1 to Part 4).



https://zenodo.org/records/13836117

https://zenodo.org/records/13836248

https://zenodo.org/records/13836250

https://zenodo.org/records/13836252

https://zenodo.org/records/13836931


[1] H. Munakata, T. Nishimura, S. Nakada, T. Komatsu, "Language-based Audio Moment Retrieval", 2024, under review.

How to Use

Unzip the file with the following commandsClotho-moment: 

for file in clotho-moment_wav.tar.part-*.gz; do gunzip "$file"; done
clotho-moment_wav.tar.part-* > clotho-moment_wav.tar
tar -xvf clotho-moment_wav.tar


UnAV100-subset, TUT Sound Events 2017: 

tar -xvf tut2017_wav.tar.gz
tar -xvf unav100-subset_wav.tar.gz
DOI: 10.15468/dl.jctq8p
title: Occurrence Download

description: A dataset containing 5339 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Myriophyllum heterophyllum Michx."
 ]
}

 The dataset includes 5339 records from 226 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026023-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.