cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.hkj8hc
title: Occurrence Download

description: A dataset containing 82645 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "OccurrenceStatus is Present",
 "Year is 2007"
 ]
}

 The dataset includes 82645 records from 133 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0111426-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10937543
title: Large-scale simulation of thermal conductivity in CaSiO3 perovskite with neuroevolution potential

description: The dataset contains the thermal conductivity of CaSiO3 perovskit, MgSiO3 perovskite, periclase, as well as the heat flux across the core-mantle boundary.
DOI: 10.5281/zenodo.10937544
title: Large-scale simulation of thermal conductivity in CaSiO3 perovskite with neuroevolution potential

description: The dataset contains the thermal conductivity of CaSiO3 perovskit, MgSiO3 perovskite, periclase, as well as the heat flux across the core-mantle boundary.
DOI: 10.15468/dl.4eu26a
title: Occurrence Download

description: A dataset containing 34733 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phlebia tremellosa (Schrad.) Nakasone & Burds."
 ]
}

 The dataset includes 34733 records from 354 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0111438-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.46dsps
title: Occurrence Download

description: A dataset containing 74006 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "OccurrenceStatus is Present",
 "Year is 2006"
 ]
}

 The dataset includes 74006 records from 135 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0111425-240321170329656/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.25558899
title: A Systematic Review on Research Utilising Artificial Intelligence for Open Source Intelligence (OSINT) Applications - Search and Data.xlsx

description: This Excel file contains data for a systematic review conducted on literature leveraging AI for OSINT purposes. The review is titled "A Systematic Review on Research Utilising Artificial Intelligence for Open Source Intelligence (OSINT) Applications".
DOI: 10.15468/dl.72h7c9
title: Occurrence Download

description: A dataset containing 7089 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Paguma larvata (C.E.H.Smith, 1827)"
 ]
}

 The dataset includes 7089 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0111445-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j7p6a3
title: Occurrence Download

description: A dataset containing 17068 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ovis canadensis Shaw, 1804"
 ]
}

 The dataset includes 17068 records from 112 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0111444-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jxpj6h
title: Occurrence Download

description: A dataset containing 43130 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ovis aries Linnaeus, 1758"
 ]
}

 The dataset includes 43130 records from 348 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0111443-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u89335
title: Occurrence Download

description: A dataset containing 32449 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pecari tajacu (Linnaeus, 1758)"
 ]
}

 The dataset includes 32449 records from 335 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0111446-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.syhu8k
title: Occurrence Download

description: A dataset containing 17526 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Merulius tremellosus Schrad."
 ]
}

 The dataset includes 17526 records from 195 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0111449-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kc6uqj
title: Occurrence Download

description: A dataset containing 41288 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Continent is Africa",
 "Continent is Europe"
 ]
 },
 "TaxonKey is Circus macrourus (S.G.Gmelin, 1770)"
 ]
}

 The dataset includes 41288 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055306-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u6jjq6
title: Occurrence Download

description: A dataset containing 14589 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Blarina brevicauda (Say, 1823)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 14589 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002880-160118175350007/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kvcagq
title: Occurrence Download

description: A dataset containing 26906163 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 26906163 records from 2882 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054070-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e163821
title: Adult Drug Treatment Courts and Community-Level Drug Possession Arrests

description: This study assessed the degree to which adult drug treatment courts impact county-level drug possession arrests using a stacked event study desing. Materials included here serve as supplements to the article "Adult Drug Treatment Courts and Community-Level Drug Possession Arrests" submitted to the journal Crime & Delinquency in March of 2022.<br><br>Materials include:<br>- Stata code for data cleaning and setup, core analysis, counterfactual analysis, and robustness checks<br>- Analysis data with county FIPS codes anonymized <br>- PDF supplemental materials for the paper: additional tables and graphs, methods appendix, and data appendix<br><br>The code may be adapted for use in other contexts but identification of individual counties has been masked in the data to protect use of the treatment court data until fully released to the public.
description: This dataset is built upon the UCR Summary Reporting Arrest data concatenated by Jacob Kaplan (https://www.openicpsr.org/openicpsr/project/102180/version/V11/view). To minimize measurement error, data cleaning started with UCR reporting agencies which reported all 12 months per year for the entirety of each stack (see Methods Appendix for clarification). Agencies were collapsed to the county level, then other data were merged in.
DOI: 10.3886/e163821v2
title: Adult Drug Treatment Courts and Community-Level Drug Possession Arrests

description: This study assessed the degree to which adult drug treatment courts impact county-level drug possession arrests using a stacked event study desing. Materials included here serve as supplements to the article "Adult Drug Treatment Courts and Community-Level Drug Possession Arrests" submitted to the journal Crime & Delinquency in March of 2022.<br><br>Materials include:<br>- Stata code for data cleaning and setup, core analysis, counterfactual analysis, and robustness checks<br>- Analysis data with county FIPS codes anonymized <br>- PDF supplemental materials for the paper: additional tables and graphs, methods appendix, and data appendix<br><br>The code may be adapted for use in other contexts but identification of individual counties has been masked in the data to protect use of the treatment court data until fully released to the public.
description: This dataset is built upon the UCR Summary Reporting Arrest data concatenated by Jacob Kaplan (https://www.openicpsr.org/openicpsr/project/102180/version/V11/view). To minimize measurement error, data cleaning started with UCR reporting agencies which reported all 12 months per year for the entirety of each stack (see Methods Appendix for clarification). Agencies were collapsed to the county level, then other data were merged in.
DOI: 10.7284/144898
title: ADCP (Acoustic Doppler Current Profiler) data collected during research cruise MGL2104 using a Hawaii UHDAS instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/144907
title: Expendable Probe data collected during research cruise MGL2104 using a Sippican MK21 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/144895
title: GNSS (Global Navigation Satellite System) data collected during research cruise MGL2104 using a C&C C-Nav 2000 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/144899
title: GNSS (Global Navigation Satellite System) data collected during research cruise MGL2104 using a C&C C-Nav 3050 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/144896
title: Gravimeter data collected during research cruise MGL2104 using a Bell BGM-3 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/144894
title: Gyrocompass data collected during research cruise MGL2104 using a Kongsberg Simrad GC80 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/144897
title: INS (Inertial Navigation System) data collected during research cruise MGL2104 using a Applanix POS/MV-320 V3 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/144904
title: INS (Inertial Navigation System) data collected during research cruise MGL2104 using a Kongsberg Seapath 330+ instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/144892
title: Magnetometer data collected during research cruise MGL2104 using a Geometrics G-882 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/144903
title: Meteorological Station data collected during research cruise MGL2104 using a Vaisala WXT520 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/144905
title: Multibeam Echosounder data collected during research cruise MGL2104 using a Kongsberg EM122 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/144906
title: Multibeam Echosounder data collected during research cruise MGL2104 using a Kongsberg EM122 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/144893
title: Singlebeam Echosounder data collected during research cruise MGL2104 using a Knudsen 3260 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/144900
title: Speedlog data collected during research cruise MGL2104 using a Furuno DS-80 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/144902
title: SSV (Sound Speed Velocimeter) data collected during research cruise MGL2104 using a AML MicroSV instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/144901
title: TSG (Thermosalinograph) data collected during research cruise MGL2104 using a Sea-Bird SBE-45 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.25345/c5w08wj0j
title: MassIVE MSV000088981 - Dexamethazone induced changes in protein abundance in human trabecular meshwork cells
title: This study describes dexamethazone induced changes in protein abundance in human trabecular meshwork cells. Cells were treated woth 0.5 uM dexamethazone for 24 h, 5 days and 7 day and nuclear fractions were analyzed by MS-based protein quantification compare treated and control samples
DOI: 10.5517/ccdc.csd.cc27zqwv
title: CCDC 2085118: Experimental Crystal Structure Determination

description: Related Article: Nandikolla Krishna Chaitanya, Y. N. Sambasiva Rao, Venkata Surya Kumar Choutipalli, Prathama S. Mainkar, Venkatesan Subramanian, Srivari Chandrasekhar|2022|Chem.Commun.|58|3178|doi:10.1039/D1CC06810E
DOI: 10.5517/ccdc.csd.cc28h778
title: CCDC 2100009: Experimental Crystal Structure Determination

description: Related Article: Hao Li, Yishu He, Di Zhang, Li Yang, Jiarui Zhang, Rui-ling Long, Ji Lu, Jun Wei, Lin Yang, Siping Wei, Dong Yi, Zhijie Zhang, Qiang Fu|2022|Chem.Commun.|58|3194|doi:10.1039/D1CC06935G
DOI: 10.5517/ccdc.csd.cc28m00y
title: CCDC 2103629: Experimental Crystal Structure Determination

description: Related Article: Yaohong Zhang, Mengqiang Luo, Yichan Zhang, Kai Cheng, Yong Li, Chenze Qi, Runpu Shen, Hai Wang|2022|Org.Biomol.Chem.|20|1952|doi:10.1039/D1OB02479E
DOI: 10.5517/ccdc.csd.cc28s6q0
title: CCDC 2108642: Experimental Crystal Structure Determination

description: Related Article: Xin Jiang, Ruiqing Fan, Jian Zhang, Xikui Fang, Tiancheng Sun, Ke Zhu, Xuesong Zhou, Yidong Xu, Yulin Yang|2022|Chem.Eng.Journal|436|135236|doi:10.1016/j.cej.2022.135236
DOI: 10.5517/ccdc.csd.cc28thk5
title: CCDC 2109877: Experimental Crystal Structure Determination

description: Related Article: Pardeep Kumar, Ashwani Chikara, Asmita Sen, Maheswaran Shanmugam|2022|Inorg.Chim.Acta|535|120858|doi:10.1016/j.ica.2022.120858
DOI: 10.5517/ccdc.csd.cc28ty35
title: CCDC 2110297: Experimental Crystal Structure Determination

description: Related Article: Ahui Sun, Cong Wang, Meiling Li, Jian Luo, Yanfeng Liu, Weiting Yang, Qinhe Pan|2022|J.Solid State Chem.|309|122987|doi:10.1016/j.jssc.2022.122987
DOI: 10.5517/ccdc.csd.cc28w6zc
title: CCDC 2111533: Experimental Crystal Structure Determination

description: Related Article: Györgyi Koványi-Lax, Csilla Hargitai, Péter Ábrányi-Balogh, Tamás Nagy, Gábor Tóth, Zsófia Garádi, Gábor Németh, Angéla Pandur, Simon Horváth, András Dancsó, Gyula Simig, Balázs Volk|2022|Org.Biomol.Chem.|20|1933|doi:10.1039/D1OB02308J
DOI: 10.5517/ccdc.csd.cc27xh7x
title: CCDC 2082959: Experimental Crystal Structure Determination

description: Related Article: Györgyi Koványi-Lax, Csilla Hargitai, Péter Ábrányi-Balogh, Tamás Nagy, Gábor Tóth, Zsófia Garádi, Gábor Németh, Angéla Pandur, Simon Horváth, András Dancsó, Gyula Simig, Balázs Volk|2022|Org.Biomol.Chem.|20|1933|doi:10.1039/D1OB02308J
DOI: 10.5517/ccdc.csd.cc28wb4n
title: CCDC 2111631: Experimental Crystal Structure Determination

description: Related Article: Hong-Lei Xu, Lei Qiao, Zhong-Ming Sun|2022|Chem.Commun.|58|3190|doi:10.1039/D1CC06038D
DOI: 10.5517/ccdc.csd.cc28wgf2
title: CCDC 2111764: Experimental Crystal Structure Determination

description: Related Article: Raman Khurana, Feihu Yang, Rishu Khurana, Junqiu Liu, Ehud Keinan, Ofer Reany|2022|Chem.Commun.|58|3150|doi:10.1039/D2CC00144F
DOI: 10.5281/zenodo.6326357
title: Decoding Physical and Cognitive Impacts of Particulate Matter Concentrations at Ultra-fine Scales

description: Data, plots, and software to accompany (unpublished) paper: Decoding Physical and Cognitive Impacts of Particulate Matter Concentrations at Ultra-fine Scales. This work uses an ultra-fine, holistic environmental and biometric sensing paradigm to generate empirical particulate matter models estimated by biometric variables. GitHub repository: https://github.com/mi3nts/DUEDARE
DOI: 10.5281/zenodo.6326356
title: Decoding Physical and Cognitive Impacts of Particulate Matter Concentrations at Ultra-fine Scales

description: Data, plots, and software to accompany (unpublished) paper: Decoding Physical and Cognitive Impacts of Particulate Matter Concentrations at Ultra-fine Scales. This work uses an ultra-fine, holistic environmental and biometric sensing paradigm to generate empirical particulate matter models estimated by biometric variables. GitHub repository: https://github.com/mi3nts/DUEDARE
DOI: 10.5066/p9hx2el8
title: Geothermal slide-hold-slide experiments on bare surface Westerly granite

description: Laboratory slide-hold-slide tests, combined with flow through tests, conducted on Westerly granite with 30 degree sawcut. Tests were conducted with a constant confining pressure of 30 MPa with an average pore pressure of 10 MPa at temperatures of 23 and 200 degC. Three fluid flow conditions were examined (1) no flow, (2) cycled flow, and (3) continuous flow.
DOI: 10.5281/zenodo.6243031
title: Code and datasets for 'Formation of olivine veins by reactive fluid flow in a dehydrating serpentinite'

description: This upload contains the code and the datasets (lookup tables) for the reactive transport model used in Huber et al. (2021) Formation of olivine veins by reactive fluid flow in a dehydrating serpentinite
DOI: 10.5281/zenodo.6326348
title: Sentiment Analysis outputs based on the combination of three classifiers for news headlines and body text

description: Sentiment Analysis outputs based on the combination of three classifiers for news headlines and body text covering the Olympic legacy of Rio 2016 and London 2012. Data was searched via Google search engine. It is composed of sentiment labels assigned to 1271 news articles in total. <strong>News outlets:</strong> BBC Daily Mail The Telegraph The Guardian Globo Estadao Folha de S. Paulo <strong>Events covered by the articles:</strong> London 2012 Olympic legacy Rio 2016 Olympic legacy All classifiers were used in texts in English. Text originally published in Portuguese by the Brazilian media were automatically translated. <strong>Sentiment classifiers used:</strong> Vader BERT (Trained on Amazon data) BERT (Trained on twitter data - 140) Each document (spreadsheet - xlsx) refers to one outlet and one event (London 2012 or Rio 2016). <strong>How were labels assigned to the texts?</strong> These labels are a combination of the three sentiment classifiers listed above. If two of them agree with the same label, then this label would be considered as right. Otherwise, the label ‘other’ was assigned. For news article body text: the proportion of sentences of each sentiment type was used to assign labels to the whole article instead of averaging the sentence scores. For example, if the proportion of sentences with negative labels is greater than 50%, then the article is assigned a negative label. <strong>The documents are composed of the following columns:</strong> Rank: the position of the article on Google search ranking Date: date of article's publication (DD/MM/YYYY) Link: article's link Title: article's title Sentiment_Title: final sentiment for article headline Sentiment_Text: final sentiment for article's body text <em>PS: Documents do not include articles' body text. </em> <strong>Sentiment is presented in labels as follows:</strong> Pos: Positive Neg: Negative Neutral: Neutral other: inconclusive - if each of the 3 classifiers assigned a different label to the article, the label 'other' was used. Therefore, 'other' identifies contradictory results.
DOI: 10.5281/zenodo.6326347
title: Sentiment Analysis outputs based on the combination of three classifiers for news headlines and body text

description: Sentiment Analysis outputs based on the combination of three classifiers for news headlines and body text covering the Olympic legacy of Rio 2016 and London 2012. Data was searched via Google search engine. It is composed of sentiment labels assigned to 1271 news articles in total. <strong>News outlets:</strong> BBC Daily Mail The Telegraph The Guardian Globo Estadao Folha de S. Paulo <strong>Events covered by the articles:</strong> London 2012 Olympic legacy Rio 2016 Olympic legacy All classifiers were used in texts in English. Text originally published in Portuguese by the Brazilian media were automatically translated. <strong>Sentiment classifiers used:</strong> Vader BERT (Trained on Amazon data) BERT (Trained on twitter data - 140) Each document (spreadsheet - xlsx) refers to one outlet and one event (London 2012 or Rio 2016). <strong>How were labels assigned to the texts?</strong> These labels are a combination of the three sentiment classifiers listed above. If two of them agree with the same label, then this label would be considered as right. Otherwise, the label ‘other’ was assigned. For news article body text: the proportion of sentences of each sentiment type was used to assign labels to the whole article instead of averaging the sentence scores. For example, if the proportion of sentences with negative labels is greater than 50%, then the article is assigned a negative label. <strong>The documents are composed of the following columns:</strong> Rank: the position of the article on Google search ranking Date: date of article's publication (DD/MM/YYYY) Link: article's link Title: article's title Sentiment_Title: final sentiment for article headline Sentiment_Text: final sentiment for article's body text <em>PS: Documents do not include articles' body text. </em> <strong>Sentiment is presented in labels as follows:</strong> Pos: Positive Neg: Negative Neutral: Neutral other: inconclusive - if each of the 3 classifiers assigned a different label to the article, the label 'other' was used. Therefore, 'other' identifies contradictory results.
DOI: 10.6075/j0kw5g62
title: EarthCube 2015 Highlights. In EarthCube Organization Materials

description: This 2015 booklet serves as a resource to the EarthCube Community, providing a summary of the EarthCube program, and updates on funded projects and community initiatives.
DOI: 10.14272/vfakauxmzmpqds-uhfffaoysa-m/chmo0000470
title: mass spectrometry (MS) ()
title: InChI=1S/C35H31N2O4.ClH/c1-20-15-24(34(38)40-5)16-21(2)30(20)36-19-37(31-22(3)17-25(18-23(31)4)35(39)41-6)33-29-14-10-8-12-27(29)26-11-7-9-13-28(26)32(33)36;/h7-19H,1-6H3;1H/q+1;/p-1

description: dataset for mass spectrometry (MS) MS–FAB (m/z, 3-NBA): 543 [M – Cl‑]+; HRMS–FAB (m/z): [M – Cl‑]+ calcd for C35H31N2O4, 543.2284; found, 543.2282.