cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25574/csc2.obs.10421
title: Chandra X-ray Observatory ObsId 10421

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.13012
title: Chandra X-ray Observatory ObsId 13012

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.13969
title: Chandra X-ray Observatory ObsId 13969

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.19339
title: Chandra X-ray Observatory ObsId 19339

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.09804
title: Chandra X-ray Observatory ObsId 09804

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.10384
title: Chandra X-ray Observatory ObsId 10384

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.18223
title: Chandra X-ray Observatory ObsId 18223

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.07931
title: Chandra X-ray Observatory ObsId 07931

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.17061
title: Chandra X-ray Observatory ObsId 17061

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.03194
title: Chandra X-ray Observatory ObsId 03194

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.13008
title: Chandra X-ray Observatory ObsId 13008

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.10420
title: Chandra X-ray Observatory ObsId 10420

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.10423
title: Chandra X-ray Observatory ObsId 10423

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.10132
title: Chandra X-ray Observatory ObsId 10132

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.22716
title: Chandra X-ray Observatory ObsId 22716

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.15468/dl.aubv9w
title: Occurrence Download

description: A dataset containing 85 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eleutherodactylus spatulatus Smith, 1939"
 ]
}

 The dataset includes 85 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005057-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hx5gpe
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Cymbopogon citratus (DC.) Stapf"
 ]
}

 The dataset includes 15 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0110201-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.1qu69a
title: Occurrence Download

description: A dataset containing 1400490 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pinaceae"
 ]
}

 The dataset includes 1400490 records from 1454 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004071-180824113759888/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k2cz9z
title: Occurrence Download

description: A dataset containing 8668 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Agropyron cristatum (L.) Gaertn."
 ]
}

 The dataset includes 8668 records from 220 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081080-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.49gnuu
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gentiana ligustica Vilm. & Chopinet",
 "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 15 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026281-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ftnhfw
title: Occurrence Download

description: A dataset containing 1068 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Isoetes nuttallii A.Braun ex Engelm."
 ]
}

 The dataset includes 1068 records from 81 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026282-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ybntbg
title: Occurrence Download

description: A dataset containing 183 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Myotis alcathoe von Helversen & Heller, 2001",
 "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 183 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026284-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qd9xah
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Isoetes mattaponica Musselman & W.C.Taylor"
 ]
}

 The dataset includes 18 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026285-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.huue79
title: Occurrence Download

description: A dataset containing 2294 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rupicapra pyrenaica Bonaparte, 1845",
 "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 2294 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026286-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26180/23961609.v2
title: Corpus of Oz Early English (COOEE)

description: Material to be included had to meet with a regional and a temporal criterion. The latter required texts to have been produced between 1788 and 1900 in order to become eligible for COOEE. It was mandatory for a text to have been written in Australia, New Zealand or Norfolk Island. But in a few cases, other localities were allowed. For example, if a person who was a native Australian or who had lived in Australia for a considerable time, wrote a shipboard diary or travelled in other countries. Contains: Letters, published materials in book form, historical texts. The collection is stratified in two ways: Time period - The corpus is divided into four time periods: Period 1: 1788-1825 Period 2: 1826-1850 Period 3: 1851-1875 Period 4: 1876-1900 The initial numeral of each file name indicates the period from which the document comes. Register - The corpus contains material from four registers: Speech-based (sb) Private written (prw) Public written (pcw) Government English (ge)
DOI: 10.15468/dl.hbcpzf
title: Occurrence Download

description: A dataset containing 918 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Hypanus dipterurus (Jordan & Gilbert, 1880)"
 ]
}

 The dataset includes 918 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026287-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sywg7v
title: Occurrence Download

description: A dataset containing 388 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Isoetes orcuttii A.A.Eaton"
 ]
}

 The dataset includes 388 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026288-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a9qed5
title: Occurrence Download

description: A dataset containing 129 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-166.41339 -13.07716,-28.58661 -13.07716,-28.58661 42.07716,-166.41339 42.07716,-166.41339 -13.07716))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Mustelus lunulatus Jordan & Gilbert, 1882"
 ]
}

 The dataset includes 129 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026289-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ymn2xy
title: Occurrence Download

description: A dataset containing 14379 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lacerta bilineata Daudin, 1802",
 "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 14379 records from 357 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026290-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14043427
title: AI Experience: Crafting Seamless Interactions between Humans and Machines in Boosting Health and Engagement among Employees  in Greater Jakarta, Indonesia (Groundwork of SDG 8)
DOI: 10.5281/zenodo.14043428
title: AI Experience: Crafting Seamless Interactions between Humans and Machines in Boosting Health and Engagement among Employees  in Greater Jakarta, Indonesia (Groundwork of SDG 8)
DOI: 10.5281/zenodo.12640022
title: Metal limiting habitability in Enceladus? Availability of trace metals for methanogenic life in hydrothermal fluids [Dataset]

description: All measurement and calculation data are uploaded.

Version 2 was uploaded on 2024-07-04 to check its accessibility and availability.
DOI: 10.5281/zenodo.14005399
title: Metal limiting habitability in Enceladus? Availability of trace metals for methanogenic life in hydrothermal fluids [Dataset]

description: All measurement and calculation data are uploaded.

Version 3 was uploaded on 2024-10-29 for revision.

Captions of Figure S2 and Tables S3-S6 in "T24_supporting_information_repository.docx" have been modified.
DOI: 10.5281/zenodo.14043438
title: Metal limiting habitability in Enceladus? Availability of trace metals for methanogenic life in hydrothermal fluids [Dataset]

description: All measurement and calculation data are uploaded.

Version 4 was uploaded on 2024-11-06 for revision.

The file name "T24_calculation_data_Fig9_Fig10.xlsx" and a description in the file for Figure 9 have been modified in order to correctly correspond to the figure. *The previous file name "T24_calculation_data_Fig8_Fig10.xlsx".
DOI: 10.5281/zenodo.12524999
title: Metal limiting habitability in Enceladus? Availability of trace metals for methanogenic life in hydrothermal fluids [Dataset]

description: All measurement and calculation data are uploaded.

Version 4 was uploaded on 2024-11-06 for revision.

The file name "T24_calculation_data_Fig9_Fig10.xlsx" and a description in the file for Figure 9 have been modified in order to correctly correspond to the figure. *The previous file name "T24_calculation_data_Fig8_Fig10.xlsx".
DOI: 10.5281/zenodo.12525000
title: Metal limiting habitability in Enceladus? Availability of trace metals for methanogenic life in hydrothermal fluids [Dataset]

description: All measurement and calculation data are uploaded.
DOI: 10.5281/zenodo.14036782
title: RGB Colors

description: The dataset contains 818 color names with their respective Hex values, along with the RGB intensity.
DOI: 10.5281/zenodo.14036783
title: RGB Colors

description: The dataset contains 818 color names with their respective Hex values, along with the RGB intensity.
DOI: 10.5281/zenodo.14043451
title: RGB Colors

description: The dataset contains 818 color names with their respective Hex values, along with the RGB intensity.
DOI: 10.15468/dl.zxvdpv
title: Occurrence Download

description: A dataset containing 473 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Isoetes virginica N.Pfeiff."
 ]
}

 The dataset includes 473 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026291-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uvans5
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aphanius baeticus Doadrio, Carmona & Fernández-Delgado, 2002",
 "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 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026292-241024112534372/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.25965721
title: How do runners select their shoes? An in-store experience

description: We aimed to identify factors that influence running shoe selection and how salespeople and runners experience the in-store selection process. In a cross-sectional design, we surveyed 101 runners (buyers and non-buyers) and 38 salespeople in specialty running stores. Surveys contained questions about demographics, factors influencing shoe choice, sources of footwear advice/education, conscious behaviour, and perceived influence of salespeople on selection. There were no significant differences between buyers and non-buyers regarding how much runners thought about their purchases (i.e., level of consciousness). Salespeople were significantly younger than runners and believed a greater number of factors and sources of advice influenced shoe selection. Runners most frequently identified fit, comfort, and gait analysis or injury prevention as most influential in selecting shoes, in that order. Salespeople believed comfort was the most important for runners. Buyers and non-buyers prioritised advice on running shoes from salespeople, friends, and family, while salespeople primarily got their information from peers. Buyers and non-buyers visiting speciality running stores largely reflect the same population. Salespeople advising runners significantly differed from their target clientele in several regards and overestimated their influence on runners’ selection. We caution runners to carefully consider the advice from salespeople as many employees make recommendations that are not evidence-based and may have limited experience.
DOI: 10.6084/m9.figshare.25965721.v1
title: How do runners select their shoes? An in-store experience

description: We aimed to identify factors that influence running shoe selection and how salespeople and runners experience the in-store selection process. In a cross-sectional design, we surveyed 101 runners (buyers and non-buyers) and 38 salespeople in specialty running stores. Surveys contained questions about demographics, factors influencing shoe choice, sources of footwear advice/education, conscious behaviour, and perceived influence of salespeople on selection. There were no significant differences between buyers and non-buyers regarding how much runners thought about their purchases (i.e., level of consciousness). Salespeople were significantly younger than runners and believed a greater number of factors and sources of advice influenced shoe selection. Runners most frequently identified fit, comfort, and gait analysis or injury prevention as most influential in selecting shoes, in that order. Salespeople believed comfort was the most important for runners. Buyers and non-buyers prioritised advice on running shoes from salespeople, friends, and family, while salespeople primarily got their information from peers. Buyers and non-buyers visiting speciality running stores largely reflect the same population. Salespeople advising runners significantly differed from their target clientele in several regards and overestimated their influence on runners’ selection. We caution runners to carefully consider the advice from salespeople as many employees make recommendations that are not evidence-based and may have limited experience.
DOI: 10.6084/m9.figshare.26517178
title: He isotopes of Red Sea-Gulf of Tadjoura Glasses

description: 15 new He isotope measurements of basaltic glasses along Red Sea-Gulf of Tadjoura. The data explains how He-depleted mantle domains exist in the deep mantle.
DOI: 10.6084/m9.figshare.26517178.v1
title: He isotopes of Red Sea-Gulf of Tadjoura Glasses

description: 15 new He isotope measurements of basaltic glasses along Red Sea-Gulf of Tadjoura. The data explains how He-depleted mantle domains exist in the deep mantle.
DOI: 10.15468/dl.xrnz2n
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((146.46731 -36.559894, 146.46731 -36.56214, 146.471802 -36.56214, 146.471802 -36.559894, 146.46731 -36.559894))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054820-240626123714530/datasets/export for details.
DOI: 10.15468/dl.qwdyvm
title: Occurrence Download

description: A dataset containing 855 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((149.703506 -32.344529, 149.703506 -32.346775, 149.710244 -32.346775, 149.710244 -32.344529, 149.703506 -32.344529)), ((149.703506 -32.344529, 149.703506 -32.342283, 149.710244 -32.342283, 149.710244 -32.344529, 149.719227 -32.344529, 149.719227 -32.337792, 149.723719 -32.337792, 149.723719 -32.335546, 149.730456 -32.335546, 149.730456 -32.331054, 149.732702 -32.331054, 149.732702 -32.326563, 149.725964 -32.326563, 149.725964 -32.322071, 149.719227 -32.322071, 149.719227 -32.319825, 149.732702 -32.319825, 149.732702 -32.315334, 149.746177 -32.315334, 149.746177 -32.319825, 149.748422 -32.319825, 149.748422 -32.313088, 149.743931 -32.313088, 149.743931 -32.310842, 149.739439 -32.310842, 149.739439 -32.308596, 149.725964 -32.308596, 149.725964 -32.313088, 149.723719 -32.313088, 149.723719 -32.315334, 149.710244 -32.315334, 149.710244 -32.326563, 149.692277 -32.326563, 149.692277 -32.315334, 149.687786 -32.315334, 149.687786 -32.322071, 149.68554 -32.322071, 149.68554 -32.326563, 149.687786 -32.326563, 149.687786 -32.328809, 149.699015 -32.328809, 149.699015 -32.331054, 149.687786 -32.331054, 149.687786 -32.335546, 149.692277 -32.335546, 149.692277 -32.342283, 149.694523 -32.342283, 149.694523 -32.335546, 149.699015 -32.335546, 149.699015 -32.337792, 149.701261 -32.337792, 149.701261 -32.342283, 149.699015 -32.342283, 149.699015 -32.344529, 149.703506 -32.344529), (149.723719 -32.328809, 149.725964 -32.328809, 149.725964 -32.331054, 149.723719 -32.331054, 149.723719 -32.328809), (149.703506 -32.335546, 149.714735 -32.335546, 149.714735 -32.337792, 149.703506 -32.337792, 149.703506 -32.335546), (149.714735 -32.335546, 149.714735 -32.331054, 149.716981 -32.331054, 149.716981 -32.335546, 149.714735 -32.335546)))"
 ]
}

 The dataset includes 855 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054821-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.