cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4768841
title: Opt2Q Example ordinal_data_calibration_results

description: A model of apoptosis (aEARM) was calibrated to a dataset containing synthetic ordinal measurements and nominal (survival vs apoptosis) outcomes using PyDREAM. The posterior sample for the model parameters and log-posterior traces are included as .npy files. The .txt files show the Gelman Rubin metric for each of the model parameters. The data was generated using https://github.com/LoLab-VU/Opt2Q
DOI: 10.3886/e135801v1
title: The Women on High Courts Database

description: This study provides over-time and cross-national data on women on high courts. The dataset includes information on the year the first woman was appointed and the gender composition of the high court. High courts include single peak courts as found in many common law countries and constitutional courts and highest appellate courts as found in many civil law countries. Information on the year of the first woman spans the period, 1945 to 2020. Data coverage on the number and percentage of women on high courts starts in 1970 or when the court is created, whichever comes first. Countries included have a population of 200,000 or greater. The data were compiled by the authors and their research teams drawing on a combination of secondary sources and information from countries' courts and judges. <br>
description: The sample includes country high courts in sovereign countries with a population of 200,000 or greater (in 2010). <br><br>For the year the first woman was appointed, the sample includes 210 country high courts between 1946 and 2020.<br><br>The data on the number and percentage of women on high courts is an unbalanced cross-national time-series between 1970 and 2013. In Version 1.0 of our dataset, we have 5,675 observations for the number of women on high courts (63.2% coverage) and 5,655 observations on the percentage of women on high courts (63.0%).<br><br>For more information on the sample, please consult the Appendix 1 of Escobar-Lemmon, Maria C., Valerie J. Hoekstra, Alice J. Kang, and Miki Caul Kittilson. Reimagining the Judiciary: Women’s Representation on High Courts Worldwide. Oxford, UK.: Oxford University Press, 2021.<br>
description: Country high courts in independent countries with a population greater than 200,000. Smallest Geographic Unit: country
DOI: 10.17632/kxkvxtn8hc.1
title: Dielectric properties of Cd2Nb2O7 crystal

description: The document presents the processed dielectric spectroscopy experiment data of the Cd2Nb2O7 single crystal. The results of Vogel-Fulcher fitting are also presented. A detailed description is given in the documents on the About sheets.
DOI: 10.17632/kxkvxtn8hc.2
title: Dielectric properties of Cd2Nb2O7 crystal

description: The document presents the processed dielectric spectroscopy experiment data of the Cd2Nb2O7 single crystal. The results of Vogel-Fulcher fitting are also presented. A detailed description is given in the documents on the About sheets.
DOI: 10.17632/k3srd25knd.3
title: Messier 82

description: This dataset is a preliminary version of Messier 82 processed on JS9-4L image processor.
DOI: 10.17632/tm2m373rc2.1
title: Shanghai-Hong Kong Stock Connect and Investment Efficiency

description: We obtained the data from the China Stock Market and Accounting Research database and Wind database. The sample consists of A-share listed companies in both Shanghai and Shenzhen stock exchanges from 2011 to 2018. Since the business content and accounting methods of the finance and assurance industry are significantly different from those of other industries, we excluded them and then filtered the sample by (1) removing abnormal companies such as special-treated firms and particular transfer firms, (2) deleting firms with asset-liability ratios greater than 1 and other variables with missing values, (3) removing firms that were delist from the Shanghai-Hong Kong Stock Connect program during the sample period, and (4) winsorizing the continuous variables at the 1st and 99th percentiles to eliminate potential outlier effects. The final sample included 14,124 firm-year observations.
DOI: 10.17632/zms552jss9.1
title: Periphery signals generated by Piezo-mediated stomach stretch and neuromedin-mediated glucose loads regulate the Drosophila brain nutrient sensor

description: We uploaded the raw data of the manuscript entitled "Periphery signals generated by Piezo-mediated stomach stretch and neuromedin-mediated glucose loads regulate the Drosophila brain nutrient sensor” as an article authored by Yangkyun Oh, Jason Lai, Soohong Min, Huai-Wei Huang, Stephen Liberles, Hyung Don Ryoo, and Greg S.B. Suh.
DOI: 10.5281/zenodo.4763419
title: Dataset created for "Heritable Variation in Pea for Resistance Against a Root Rot Complex and Its Characterization by Amplicon Sequencing"

description: Raw phenotyping dataset underlying the statistical analysis used for "Heritable Variation in Pea for Resistance Against a Root Rot Complex and Its Characterization by Amplicon Sequencing"
DOI: 10.5281/zenodo.4763418
title: Dataset created for "Heritable Variation in Pea for Resistance Against a Root Rot Complex and Its Characterization by Amplicon Sequencing"

description: Raw phenotyping dataset underlying the statistical analysis used for "Heritable Variation in Pea for Resistance Against a Root Rot Complex and Its Characterization by Amplicon Sequencing"
DOI: 10.5281/zenodo.4773554
title: SiEUGreen - Dataset for Maps of quantitaive and qualitative data of the showcase locations

description: This dataset is the outcome of interviews and focuses on the four central concepts of the SiEUGreen project - land use, food security, resource efficiency and societal inclusion. The purpose of this collection of data is to give an overview of existing experiences across Europe on the organization and flow of people, land, resources and knowledge on UA in different institutional, natural and technical settings. This datasets provides a useful starting point for further analyses on what are the key areas for in-depth research for developing urban agriculture providing positive impacts for the environment and for local communities. The data collection was conducted by SiEUGreen partners at Nordregio, International Research Centre for Regional Development and Planning.
DOI: 10.5281/zenodo.4773553
title: SiEUGreen - Dataset for Maps of quantitaive and qualitative data of the showcase locations

description: This dataset is the outcome of interviews and focuses on the four central concepts of the SiEUGreen project - land use, food security, resource efficiency and societal inclusion. The purpose of this collection of data is to give an overview of existing experiences across Europe on the organization and flow of people, land, resources and knowledge on UA in different institutional, natural and technical settings. This datasets provides a useful starting point for further analyses on what are the key areas for in-depth research for developing urban agriculture providing positive impacts for the environment and for local communities. The data collection was conducted by SiEUGreen partners at Nordregio, International Research Centre for Regional Development and Planning.
DOI: 10.5281/zenodo.4627681
title: Committed and projected future changes in global peatlands - continued transient model simulations since the Last Glacial Maximum

description: This data contains model output for the variables surface temperature, precipitation, peatland fraction, peatland carbon, total peat carbon and peatland NEP of the simulations discussed in the manuscript submitted as: Müller, J. & Joos, F.: Global peatlands under future climate - seamless model projections from the Last Glacial Maximum, Biogeosciences Discussions, 2021
DOI: 10.5281/zenodo.4627680
title: Committed and projected future changes in global peatlands - continued transient model simulations since the Last Glacial Maximum

description: This data contains model output for the variables surface temperature, precipitation, peatland fraction, peatland carbon, total peat carbon and peatland NEP of the simulations discussed in the manuscript submitted as: Müller, J. & Joos, F.: Global peatlands under future climate - seamless model projections from the Last Glacial Maximum, Biogeosciences Discussions, 2021
DOI: 10.25345/c5sz56
title: MassIVE MSV000087458 - TMT MS analysis of the total proteome of NUMB exon 9 deleted MDA_MB_468 cells
title: This experiment is to study the molecular mechanism of the Numb exon 9 containing isoform by quantitative measurement of the change in total proteome expression in response to NUMB exon 9 deletion. Total protein lysate from two MDA-MB-468 control cell pools (n = 4) and three NUMB exon 9 deleted cell pools (n = 6) from independent targeting events were collected. Each cell pool has two replicates which were separately seeded.
DOI: 10.5281/zenodo.4773584
title: Catotricha subobsoleta SPAdes preassembly

description: .
DOI: 10.5281/zenodo.4773583
title: Catotricha subobsoleta SPAdes preassembly

description: .
DOI: 10.5281/zenodo.4773586
title: SiEUGreen - Dataset for Guidelines for new interactive impact assessment

description: Dataset used to create an indicator-based sustainability assessment tool - the SiEUGreen monitoring framework for UA. Data contains qualitative and quantitative data in an excel sheet. The purpose of this collection of data is to give an overview of existing experiences across Europe on the organization and flow of people, land, resources and knowledge on UA in different institutional, natural and technical settings. This datasets provides a useful starting point for further analyses on what are the key areas for in-depth research for developing urban agriculture providing positive impacts for the environment and for local communities. The data collection was conducted by SiEUGreen partners at Nordregio, International Research Centre for Regional Development and Planning.
DOI: 10.5281/zenodo.4773585
title: SiEUGreen - Dataset for Guidelines for new interactive impact assessment

description: Dataset used to create an indicator-based sustainability assessment tool - the SiEUGreen monitoring framework for UA. Data contains qualitative and quantitative data in an excel sheet. The purpose of this collection of data is to give an overview of existing experiences across Europe on the organization and flow of people, land, resources and knowledge on UA in different institutional, natural and technical settings. This datasets provides a useful starting point for further analyses on what are the key areas for in-depth research for developing urban agriculture providing positive impacts for the environment and for local communities. The data collection was conducted by SiEUGreen partners at Nordregio, International Research Centre for Regional Development and Planning.
DOI: 10.5281/zenodo.4745840
title: Zenodo test

description: Just a test to check different permission levels
DOI: 10.5281/zenodo.4745839
title: Zenodo test

description: Just a test to check different permission levels
DOI: 10.5281/zenodo.4770053
title: Ants Doing Legwork: Investigating Motivators for SoftwareDevelopment Career Abandonment

description: Qualitative research data about the motivators for abandonment in software development professionals
DOI: 10.21223/lnlr9b/sv60v3
title: CFT_PNIA 2017-2018.tab

description: :unav
DOI: 10.21223/lnlr9b/ny7u1y
title: Data_dictionary.xlsx

description: :unav
DOI: 10.5281/zenodo.4773689
title: Ants Doing Legwork: Investigating Motivators for SoftwareDevelopment Career Abandonment

description: Qualitative research data about the motivators for abandonment in software development professionals
DOI: 10.5281/zenodo.4746172
title: Dynamic FRET-FLIM based screens of signal transduction pathways: a feasibility study

description: Dataset accompanying the paper <em>Dynamic FRET-FLIM based screens of signal transduction pathways: a feasibility study</em>.
description: v1.0.2: Including 2021 data, to recreate Figure 1
DOI: 10.5281/zenodo.4773699
title: PLANMAP - Deliverable D2.2 Mercury H-02 Victoria quadrangle 3 crater classes

description: Victoria quadrangle (H-02) geologic (morphostratigraphic) map, 3 crater classes
description: An "in kind" contribution to Planmap
DOI: 10.5281/zenodo.4773509
title: PLANMAP - Deliverable D2.2 Mercury H-05 Hokusai quadrangle 3 crater classes

description: Hokusai quadrangle geologic (morphostratigraphic) map, 3 crater classes
DOI: 10.5281/zenodo.4773698
title: PLANMAP - Deliverable D2.2 Mercury H-02 Victoria quadrangle 3 crater classes

description: Victoria quadrangle (H-02) geologic (morphostratigraphic) map, 3 crater classes
description: An "in kind" contribution to Planmap
DOI: 10.5281/zenodo.4773508
title: PLANMAP - Deliverable D2.2 Mercury H-05 Hokusai quadrangle 3 crater classes

description: Hokusai quadrangle geologic (morphostratigraphic) map, 3 crater classes
DOI: 10.5285/f6fa87e7-4010-4782-8a3a-7c322faa939d
title: BGS Mineral Resources Central Belt of Scotland version 2

description: This dataset provides digital spatial information on the location of mineral resources in the central belt of Scotland at a scale of 1:50 000. The term ‘mineral resources’ has a definition under international standards that includes both an economic and geological dimension. These data are based primarily on mapped geology with limited assessment of economics. Therefore, the term ‘mineral resources’ is used here in a broad sense. The dataset allows users to visualise the extent and distribution of mineral resources and to relate them to other forms of land-use (such as urban areas or designated environmentally sensitive areas) or to other factors (such as transport infrastructure and conservation information).
The British Geological Survey (BGS) was awarded a grant from the Scottish Government Aggregates Levy Fund in 2007 to provide a comprehensive, relevant and accessible information base to enhance the sustainability of mineral resources for 18 local authorities in the central belt of Scotland. BGS co-funded this project through its Sustainable Mineral Solutions project. This work was completed in March 2008. This dataset comprises the digital GIS files which were produced through this project. 
In 2020 minor revisions to geometry and attributes were made in in response to minor corrections that were required. The paper maps were not re-released with these data updates.
The major elements of minerals information presented are the geological distribution of all mineral resources in the central belt of Scotland. The BGS Mineral Resource data does not determine mineral reserves and therefore does not denote potential areas of extraction. Only onshore, mainland mineral resources are included in the dataset. This dataset has been produced by the collation and interpretation of mineral resource data principally held by the British Geological Survey. The mineral resource data presented are based on the best available information, but are not comprehensive and their quality is variable. The dataset should only be used to show a broad distribution of those mineral resources which may be of current or potential economic interest.
DOI: 10.5517/ccdc.csd.cc245rnr
title: CCDC 1971744: Experimental Crystal Structure Determination

description: Related Article: Muxin Yu, Caiping Liu, Shengchang Li, Yunfang Zhao, Jiangquan Lv, Zhu Zhuo, Feilong Jiang, Lian Chen, Yunlong Yu, Maochun Hong|2020|Chem.Commun.|56|7233|doi:10.1039/D0CC02472D
DOI: 10.5285/f265629c-5e03-4927-b482-0668da720aca
title: BGS Mineral Resources England version 3

description: This dataset provides digital spatial information on the location of mineral resources in England at a scale of 1:50 000. The term ‘mineral resources’ has a definition under international standards that includes both an economic and geological dimension. These data are based primarily on mapped geology with limited assessment of economics. Therefore, the term ‘mineral resources’ is used here in a broad sense. The dataset allows users to visualise the extent and distribution of mineral resources and to relate them to other forms of land-use (such as urban areas or designated environmentally sensitive areas) or to other factors (such as transport infrastructure and conservation information).
The dataset is derived from a set of commissioned projects to prepare a series of mineral resource maps based on counties or amalgamations of counties. Maps for England were commissioned by the central government department with responsibility for mineral planning at the time (Department of the Environment (DoE), Department of the Environment, Transport and the Regions (DETR), Department for Transport, Local Government and the Regions (DTLR), Office of the Deputy Prime Minister (ODPM), and the Department for Communities and Local Government (DCLG) between 1994 and 2006. Each map produced (with an accompanying report describing the mineral resources depicted on the map) is available to download, as a PDF file from the BGS-hosted website: www.MineralsUK.com. 
During 2011-2012 revisions were made to areas of the resource linework. These changes were made as a result of new research and release of a new version of DiGMap (v5). This work was on an ad hoc basis but affects all resource layers. 
In 2020 minor revisions to geometry and attributes were made in in response to minor corrections that were required. The paper maps were not re-released with these data updates.
The BGS Mineral Resource data does not determine mineral reserves and therefore does not denote potential areas of extraction. Only onshore, mainland mineral resources are included in the dataset. This dataset has been produced by the collation and interpretation of mineral resource data principally held by the British Geological Survey. The mineral resource data presented are based on the best available information, but are not comprehensive and their quality is variable. The dataset should only be used to show a broad distribution of those mineral resources which may be of current or potential economic interest.
DOI: 10.5285/83c4e31f-237d-4fa7-a345-7648315f4d22
title: BGS Mineral Resources Wales version 2

description: This dataset provides digital spatial information on the location of mineral resources in Wales at a scale of 1:50 000. The term ‘mineral resources’ has a definition under international standards that includes both an economic and geological dimension. These data are based primarily on mapped geology with limited assessment of economics. Therefore, the term ‘mineral resources’ is used here in a broad sense. The dataset allows users to visualise the extent and distribution of mineral resources and to relate them to other forms of land-use (such as urban areas or designated environmentally sensitive areas) or to other factors (such as transport infrastructure and conservation information).
The British Geological Survey (BGS) was awarded a grant from the Welsh Assembly Government Aggregates Levy Fund in 2009 to provide a comprehensive, relevant and accessible information base to enhance the sustainability of mineral resources for Wales. BGS co-funded this project through its Sustainable Mineral Solutions project. This work was completed in 2010. This dataset comprises the digital GIS files which were produced through this project. 
The major elements of minerals information presented on the maps are; the geological distribution of all onshore mineral resources in Wales, the location of mineral extraction sites, the recorded occurrences of metallic minerals, the recorded location of former slate quarries and significant areas of slate waste and the recorded location of historic building stone quarries. 
In 2020 minor revisions to geometry and attributes were made in in response to minor corrections that were required. The paper maps were not re-released with these data updates. Point data for mineral occurrence and mine site data has not been included in this revision as these data are superseded by other BGS datasets, such as the BGS BritPits database of mines and quarries. 
The BGS Mineral Resource data does not determine mineral reserves and therefore does not denote potential areas of extraction. Only onshore, mainland mineral resources are included in the dataset. This dataset has been produced by the collation and interpretation of mineral resource data principally held by the British Geological Survey. The mineral resource data presented are based on the best available information, but are not comprehensive and their quality is variable. The dataset should only be used to show a broad distribution of those mineral resources which may be of current or potential economic interest.
DOI: 10.6084/m9.figshare.14619168.v1
title: Hemotoxicity of venom from some medically important snakes in Kenya

description: Hemotoxicity of venom from medically important snakes in Kenya<br>
DOI: 10.6084/m9.figshare.14619168
title: Hemotoxicity of venom from some medically important snakes in Kenya

description: Hemotoxicity of venom from medically important snakes in Kenya<br>
DOI: 10.35111/hkh2-vh40
title: The SSNCE Database of Tamil Dysarthric Speech

description: <h3>Introduction</h3><br>
<p>The SSNCE Database of Tamil Dysarthric Speech was developed by the Speech Lab, <a href="https://www.ssn.edu.in/college-of-engineering/">SSN College of Engineering</a>, India, in collaboration with the Indian<a href="https://www.niepmd.tn.nic.in/"> National Institute of Empowerment of Persons with Multiple Disabilities (NIEPMD) </a> and contains approximately eight hours of Tamil speech data, time-aligned transcripts and metadata collected from 30 speakers (20 dysarthric speakers and 10 non-dysarthric speakers).</p><br>
<p>Dysarthria is a speech disorder caused by muscle weakness which can result in slowed and slurred speech that is difficult to understand. Common causes of dysarthria include nervous system disorders and conditions that cause facial paralysis or tongue or throat muscle weakness.</p><br>
<h3>Data</h3><br>
<p>The non-dysarthric speakers consisted of five female and five male subjects. The dysarthric speakers (7 female, 13 male) reported a diagnosis of cerebral palsy and ranged in age from 12 years old to 37 years old.</p><br>
<p>The speech data was collected between 2015 and 2017 in two sessions at NIEPMD. In total, each speaker recorded 365 utterances consisting of single words and of sentences that included a combination of common and uncommon Tamil phrases.</p><br>
<p>The corpus includes time-aligned phonetic transcripts for all collected speech data. Additional documentation includes phoneme mappings and speaker metadata.</p><br>
<p>Audio data is presented as 16-bit 16kHz FLAC compressed linear pcm wav. Transcripts are presented as UTF-8 encoded plain text.</p><br>
<h3>Samples</h3><br>
<p>Please view the following samples:</p><br>
<ul><br>
<li><a href="desc/addenda/LDC2021S04.flac">Audio sample (FLAC)</a></li><br>
<li><a href="desc/addenda/LDC2021S04.lab">Phonetic Transcript (TXT)</a></li><br>
<li><a href="desc/addenda/LDC2021S04.wrdlab">Word Transcript (TXT)</a></li><br>
<li><a href="desc/addenda/LDC2021S04.txt">Plain Transcript (TXT)</a></li><br>
</ul><br>
<h3>Updates</h3><br>
<p>None at this time.</p></br>
Portions © 2021 Speech Lab, SSN College of Engineering, © 2021 Trustees of the University of Pennsylvania