cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14995245
title: Connectivity Modelling Dataset - Puig Ciutat assault

description: dataset for submitted paper: "A spatial connectivity approach for understanding landscapes of conflict: Julius Caesar and the assault to Puig Ciutat (NE Iberian Peninsula)".<br>dataset structure:- data -&gt; data used for the analysis, including QGIS projects<br>- output -&gt; raster result generated by Circuitscape<br>More info can be found at the README.md file from the github repository found as a Reference below.<br><br>
DOI: 10.6084/m9.figshare.14995245.v3
title: Connectivity Modelling Dataset - Puig Ciutat assault

description: dataset for submitted paper: "A spatial connectivity approach for understanding landscapes of conflict: Julius Caesar and the assault to Puig Ciutat (NE Iberian Peninsula)".<br>dataset structure:- data -&gt; data used for the analysis, including QGIS projects<br>- output -&gt; raster result generated by Circuitscape<br>More info can be found at the README.md file from the github repository found as a Reference below.<br><br>
DOI: 10.6084/m9.figshare.14995245.v2
title: Connectivity Modelling Dataset - Puig Ciutat assault

description: dataset for submitted paper: "A spatial connectivity approach for understanding landscapes of conflict: Julius Caesar and the assault to Puig Ciutat (NE Iberian Peninsula)".<br>dataset structure:- data -&gt; data used for the analysis, including QGIS projects<br>- output -&gt; raster result generated by Circuitscape<br>More info can be found at the README.md file from the github repository found as a Reference below.<br><br>
DOI: 10.5281/zenodo.5788672
title: Global GFED-based monthly burned area time series (1996-2016) at 1 km and ESA CCI MODIS-based long-term monthly P90 burned area occurrence at 500 m

description: Contains two separate datasets: Global GFED-based monthly burned area (in ha) time series (1996-2016) at 1 km (downscaled using cubic-splines from 25 km); Global burned area long term (2000-2012) P90 (quantile probability = 0.9) based on the ESA CCI burned area accumulated weekly product; Original GFED monthly data is provided as HDF4 files (ftp.fuoco.geog.umd.edu/data/GFED/GFED4). Dataset is described in detail in Giglio et al. (2013). Processing steps are available <strong>here</strong>. Antarctica is not included. To access and visualize global datasets use: <strong>https://openlandmap.org</strong> or watch <strong>this video</strong>. If you discover a bug, artifact or inconsistency in the maps, or if you have a question please use some of the following channels: Technical issues and questions about the code: https://gitlab.com/openlandmap/global-layers/issues All files provided as Cloud-Optimized GeoTIFFs / internally compressed using "COMPRESS=DEFLATE" creation option in GDAL. File naming convention: nhz = theme: natural hazards, monthly.burned.ha = variable: estimated monthly burned area in ha, gfed = data source GFED data, m = mean value, 1km = spatial resolution / block support: 1 km, s0..0cm = vertical reference: land surface, 2000.02 = time reference aggregated: month Feb of year 2000, v4 = version number: GFEDv4,
description: {"references": ["Chuvieco, E., Lizundia-Loiola, J., Pettinari, M. L., Ramo, R., Padilla, M., Tansey, K., ... & Plummer, S. (2018). Generation and analysis of a new global burned area product based on MODIS 250 m reflectance bands and thermal anomalies. Earth System Science Data, 10(4), 2015-2031.", "Giglio, L., Randerson, J. T., & Van Der Werf, G. R. (2013). Analysis of daily, monthly, and annual burned area using the fourth\u2010generation global fire emissions database (GFED4). Journal of Geophysical Research: Biogeosciences, 118(1), 317-328."]}
DOI: 10.5281/zenodo.5788671
title: Global GFED-based monthly burned area time series (1996-2016) at 1 km and ESA CCI MODIS-based long-term monthly P90 burned area occurrence at 500 m

description: Contains two separate datasets: Global GFED-based monthly burned area (in ha) time series (1996-2016) at 1 km (downscaled using cubic-splines from 25 km); Global burned area long term (2000-2012) P90 (quantile probability = 0.9) based on the ESA CCI burned area accumulated weekly product; Original GFED monthly data is provided as HDF4 files (ftp.fuoco.geog.umd.edu/data/GFED/GFED4). Dataset is described in detail in Giglio et al. (2013). Processing steps are available <strong>here</strong>. Antarctica is not included. To access and visualize global datasets use: <strong>https://openlandmap.org</strong> or watch <strong>this video</strong>. If you discover a bug, artifact or inconsistency in the maps, or if you have a question please use some of the following channels: Technical issues and questions about the code: https://gitlab.com/openlandmap/global-layers/issues All files provided as Cloud-Optimized GeoTIFFs / internally compressed using "COMPRESS=DEFLATE" creation option in GDAL. File naming convention: nhz = theme: natural hazards, monthly.burned.ha = variable: estimated monthly burned area in ha, gfed = data source GFED data, m = mean value, 1km = spatial resolution / block support: 1 km, s0..0cm = vertical reference: land surface, 2000.02 = time reference aggregated: month Feb of year 2000, v4 = version number: GFEDv4,
description: {"references": ["Chuvieco, E., Lizundia-Loiola, J., Pettinari, M. L., Ramo, R., Padilla, M., Tansey, K., ... & Plummer, S. (2018). Generation and analysis of a new global burned area product based on MODIS 250 m reflectance bands and thermal anomalies. Earth System Science Data, 10(4), 2015-2031.", "Giglio, L., Randerson, J. T., & Van Der Werf, G. R. (2013). Analysis of daily, monthly, and annual burned area using the fourth\u2010generation global fire emissions database (GFED4). Journal of Geophysical Research: Biogeosciences, 118(1), 317-328."]}
DOI: 10.5517/ccdc.csd.cc236z9m
title: CCDC 1943120: Experimental Crystal Structure Determination

description: Related Article: Timo Stein, Frank Hoffmann, and Michael Fröba|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc236vgn
title: CCDC 1943001: Experimental Crystal Structure Determination

description: Related Article: Timo Stein, Frank Hoffmann, and Michael Fröba|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2536cw
title: CCDC 1999077: Experimental Crystal Structure Determination

description: Related Article: Damon A. Parrish, Lauren A. Mitchell, Jean'ne Shreeve, Jiaheng Zhang|2020|CSD Communication|||
description: Related Article: Mi Wang, Zhenyuan Wang, Binshen Wang, Jichuan Zhang, Jiaheng Zhang|2020|J.Mol.Struct.|1227|129536|doi:10.1016/j.molstruc.2020.129536
DOI: 10.5517/ccdc.csd.cc2536dx
title: CCDC 1999078: Experimental Crystal Structure Determination

description: Related Article: Damon A. Parrish, Lauren A. Mitchell, Jean'ne Shreeve, Jiaheng Zhang|2020|CSD Communication|||
description: Related Article: Mi Wang, Zhenyuan Wang, Binshen Wang, Jichuan Zhang, Jiaheng Zhang|2020|J.Mol.Struct.|1227|129536|doi:10.1016/j.molstruc.2020.129536
DOI: 10.5517/ccdc.csd.cc23mfmt
title: CCDC 1955096: Experimental Crystal Structure Determination

description: Related Article: Tifeng Xia|2020|CSD Communication|||
description: Related Article: Tifeng Xia, Yating Wan, Yanping Li, Jun Zhang|2020|Inorg.Chem.|59|8809|doi:10.1021/acs.inorgchem.0c00544
DOI: 10.5517/ccdc.csd.cc258jww
title: CCDC 2004208: Experimental Crystal Structure Determination

description: Related Article: Saki ItoTakayuki Ishida|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc24x3dl
title: CCDC 1993219: Experimental Crystal Structure Determination

description: Related Article: Luca Rigamonti, Francesco Reginato, Erika Ferrari, Laura Pigani, Lara Gigli, Nicola Demitri, Pavel Kopel, Barbora Tesarova, Zbynek Heger|2020|CSD Communication|||
description: Related Article: Luca Rigamonti, Francesco Reginato, Erika Ferrari, Laura Pigani, Lara Gigli, Nicola Demitri, Pavel Kopel, Barbora Tesarova, Zbynek Heger|2020|Dalton Trans.|49|14626|doi:10.1039/D0DT03038D
DOI: 10.5517/ccdc.csd.cc27fjv2
title: CCDC 2068594: Experimental Crystal Structure Determination

description: Related Article: Leiyang Lv, Ge Gao, Yani Luo, Kuantao Mao, Zhiping Li|2021|J.Org.Chem.|86|17197|doi:10.1021/acs.joc.1c02288
DOI: 10.5517/ccdc.csd.cc27g5fb
title: CCDC 2069201: Experimental Crystal Structure Determination

description: Related Article: Leiyang Lv, Ge Gao, Yani Luo, Kuantao Mao, Zhiping Li|2021|J.Org.Chem.|86|17197|doi:10.1021/acs.joc.1c02288
DOI: 10.25345/c5d57m
title: MassIVE MSV000088580 - mESC PARP1-Mediated APP-Ribosylated Proteome
title: To identify the ADPR-ylated targets of PARP1 catalytic activity during mouse embryonic stem cell differentiation we utilized an NAD+ analog-sensitive approach for PARP1 comprising a PARP1 NAD+ binding pocket mutant (L887A) paired with the NAD+ analog 8-Bu(3-yne)T-NAD+. When coupled with mass spectrometry, this approach allowed us to identify the PARP1 ADP-ribosylated proteome in murine embryonic stem cells during differentiation, including core spliceosomal proteins, and key pluripotency maintenance factors. Specifically, we found that PARP1 (poly)ADP-ribosylates the U2 auxillary factor complex components, U2AF35 and U2AF65. PARP1-mediated U2AF ADPRylation plays a key role in the regulation of its RNA binding and splicing function, both key processes to embryonic stem cell state. Collectively, our results point to an extensive PARP1 ADP-ribosylated proteome with important roles in regulation of embryonic stem cell state. Nucelar extracts were isolated from wild type mouse embryonic stem (mESCs). We incubated purified recombinant asPARP1 with mESCs cell nuclear extract in the presence of 8-Bu(3-yne)T-NAD+, which resulted in PARP1-specific labeling of extract proteins. The 8-Bu(3-yne)T-ADP-ribose-labeled proteins were then clicked to azide-agarose resulting in their covalent attachment to the agarose resin, allowing extensive washing with denaturants, strong detergents, and organic solvents. We performed trypsin-based peptide identification of the ADP-ribosylated proteins by LC-MS/MS (Peptide ID), washed extensively again, and eluted the ADP-ribosylated peptides using hydroxylamine to identify the sites of ADP-ribosylation by LC-MS/MS (Site ID).
DOI: 10.25494/p6ws3q
title: MPA OOS Project, Seascape Data, California, 2002-08-15 to 2021-02-15, 5km

description: Data in this collection includes monthly Seascapes for California MPAs and derived data from that dataset. Seascapes are coherent bodies of water at the landscape scale that are characterized by their physical, biological, and chemical properties. Seascapes are created from remotely sensed data as well as predictive models. Missing values can be due to features like cloud cover. This data includes: sea surface temperature (SST), photosynthetically active radiation (PAR), sea surface salinity, absolute dynamic topography (ADT), ice contribution, chromophoric dissolved organic material (CDOM), chlorophyll a (Chl a), MODIS normalized fluorescence line height (nFLH), and the nFLH:Chl a ratio. The datasets span from 2002-08-15 to 2021-02-15. The Seascapes product is a 5km satellite imagery product and for the purposes of this project has been bounded at longitude -125 to -116.5 and latitude 31.5 to 42.5. The dataset includes associated latitudes, but not longitude since the MPAs in this study are all located along the California coast line.This submission includes 3 data tables:(1) LTM_OOS_MPA_seascapes_monthly.csv which includes monthly Seascapes for California MPAs. Not all California MPAs will have Seascape values, while some MPAs can have 1-6 different Seascapes depending on the size of the MPA.(2) LTM_OOS_MPA_MPA_SDI.csv which includes quarterly and yearly Shannon Diversity Indices for Seascapes and PISCO benthic survey data for California MPAs. Information on PISCO can be found on their website: http://www.piscoweb.org/kelp-forest-study(3) LTM_OOS_MPA_SDI_ranked.csv which includes ranked yearly Shannon Diversity Indices for Seascapes for California MPAs.This submission also includes one .jpg file showing the physical, biological, and chemical properties that define each Seascape.For more information, please see:(1) The raw Seascape monthly dataset: https://cwcgom.aoml.noaa.gov/thredds/SEASCAPE_MONTH.html(2) This paper on Seascapes: Maria T. Kavanaugh, Matthew J. Oliver, Francisco P. Chavez, Ricardo M. Letelier, Frank E. Muller-Karger, Scott C. Doney (2016) Seascapes as a new vernacular for pelagic ocean monitoring, management and conservation. ICES Journal of Marine Science.(3) The boundaries for the MPAs referenced in this dataset and information on related long-term California MPA monitoring efforts: https://opc.dataone.org/view/doi:10.25494/P6V884
DOI: 10.6084/m9.figshare.14755281.v1
title: Territorial disparities in youth labour market chances in Europe

description: Comparative research on youth employment has mostly focused on differences between countries or regimes of youth transitions. The territorial differentiation below country level has been less explored, notwithstanding the potential impact on youth-life chances and the territorial cohesion of the European Union. This paper aims at deepening into the investigation of regional variations in patterns of youth labour market chances. To do this, we build on a composite indicator measuring regional youth labour market integration (YLMI) as a comprehensive measure of contextual fragilities (or strengths) of regional youth labour markets. We provide both comparative and longitudinal views over 15 years (2004–18). Furthermore, we explore the impact of contextual factors related to economic conditions, labour market and demographic trends on the regional patterns of youth integration in the labour market.
DOI: 10.6084/m9.figshare.14755281
title: Territorial disparities in youth labour market chances in Europe

description: Comparative research on youth employment has mostly focused on differences between countries or regimes of youth transitions. The territorial differentiation below country level has been less explored, notwithstanding the potential impact on youth-life chances and the territorial cohesion of the European Union. This paper aims at deepening into the investigation of regional variations in patterns of youth labour market chances. To do this, we build on a composite indicator measuring regional youth labour market integration (YLMI) as a comprehensive measure of contextual fragilities (or strengths) of regional youth labour markets. We provide both comparative and longitudinal views over 15 years (2004–18). Furthermore, we explore the impact of contextual factors related to economic conditions, labour market and demographic trends on the regional patterns of youth integration in the labour market.
DOI: 10.15468/zsf3zc
title: The genus Diplectrona Westwood (Trichoptera: Hydropsychidae) in the Japanese main islands

description: This dataset contains the digitized treatments in Plazi based on the original journal article Nozaki, Takao (2021): The genus Diplectrona Westwood (Trichoptera: Hydropsychidae) in the Japanese main islands. Zootaxa 5082 (3): 245-258, DOI: https://doi.org/10.11646/zootaxa.5082.3.3
DOI: 10.5281/zenodo.5789438
title: Replication Package for: Yogurts Choose Consumers? Estimation of Random-Utility Models via Two-Sided Matching

description: This ZIP archive is the replication package of the manuscript `Yogurts chooses consumers ? Estimation of Random-Utility Models via Two-Sided Matching`, by Odran Bonnet, Alfred Galichon, Yu-Wei Hsieh, Keith O'Hara, Matt Shum. It contains data, analysis code and outputs corresponding to the 7 tables in the manuscript and appendix.
DOI: 10.25721/jgn7-az29
title: Tamil version of Francis Whyte Ellis’ Legend of the Cowpox
DOI: 10.5281/zenodo.5789495
title: Supplemental Material for Genome Editing in Crop Plant Research - Alignment of expectations and current developments

description: Supplemental Material for Paper "Genome Editing in Crop Plant Research - Alignment of expectations and current developments" as submitted to Plants
DOI: 10.5281/zenodo.5789494
title: Supplemental Material for Genome Editing in Crop Plant Research - Alignment of expectations and current developments

description: Supplemental Material for Paper "Genome Editing in Crop Plant Research - Alignment of expectations and current developments" as submitted to Plants
DOI: 10.5281/zenodo.5789207
title: (Cot)TbI(thf)2

description: This contains the dataset for (Cot)TbI(thf)2
DOI: 10.5281/zenodo.5789206
title: (Cot)TbI(thf)2

description: This contains the dataset for (Cot)TbI(thf)2
DOI: 10.6084/m9.figshare.17229206
title: UK-Published Media Pieces on Consensual Non-Monogamies

description: News pieces published in the UK between 2010-2014 that contain references to some form of CNM.<br>Collected 20.01.2020 via LexisNexisautomatic deduplication by title similarityautomated scrapingSearch String:polyamory OR consensual non-monogamy OR monogamish OR open relationship OR relationship anarchy OR non-monogamy<br>search all text
DOI: 10.5281/zenodo.5789513
title: Supporting data to "Open-source, low-cost, in-situ turbidity sensor for river network monitoring"

description: This folder contains the Supporting Dataset that is part of the Manuscript "Open-source, low-cost, in-situ turbidity sensor for river network monitoring."
DOI: 10.5281/zenodo.5789512
title: Supporting data to "Open-source, low-cost, in-situ turbidity sensor for river network monitoring"

description: This folder contains the Supporting Dataset that is part of the Manuscript "Open-source, low-cost, in-situ turbidity sensor for river network monitoring."
DOI: 10.5281/zenodo.5789220
title: (Cot)Tb(Cnt)

description: This contains the dataset for (Cot)Tb(Cnt)
DOI: 10.5281/zenodo.5789219
title: (Cot)Tb(Cnt)

description: This contains the dataset for (Cot)Tb(Cnt)
DOI: 10.15468/6wtvrm
title: Wyeomyia shannoni Lane & Cerqueira, 1942, a taxonomic puzzle (Diptera: Culicidae): synonymy, genus transfer, homonymy, and description of a new species of Sabethes Robineau-Desvoidy, 1827

description: This dataset contains the digitized treatments in Plazi based on the original journal article Nascimento-Pereira, Agostinho C., Neves, Maycon Sebastião Alberto Santos, Guimarães, Anthony Érico, Motta, Monique De Albuquerque, De-Oliveira, Ricardo Lourenço- (2021): Wyeomyia shannoni Lane & Cerqueira, 1942, a taxonomic puzzle (Diptera: Culicidae): synonymy, genus transfer, homonymy, and description of a new species of Sabethes Robineau-Desvoidy, 1827. Zootaxa 5082 (3): 259-277, DOI: https://doi.org/10.11646/zootaxa.5082.3.4
DOI: 10.5281/zenodo.5789501
title: Sentiment analysis of tech media articles using VADER package and co-occurrence analysis (01.2016-04.2021)

description: Sentiment analysis of tech media articles using VADER package and co-occurrence analysis Sources with weights: Euractiv 5% The Conversation 5% Politico Europe 5 % IEEE Spectrum 5 % Techforge 5% Fastcompany 5% The Guardian (Tech) 12% Arstechnica 5% Reuters 5% Gizmodo 9% ZDNet 9% The Register 12% The Verge 9% TechCrunch 9% Methodology The sentiment analysis has been prepared using VADER*, an open-source lexicon and rule-based sentiment analysis tool. VADER is specifically designed for social media analysis, but can be also applied for other text sources. The sentiment lexicon was compiled using various sources (other sentiment data sets, Twitter etc.) and was validated by human input. The advantage of VADER is that the rule-based engine includes word-order sensitive relations and degree modifiers. As VADER is more robust in the case of shorter social media texts, the analysed articles have been divided into paragraphs. The analysis have been carried out for the social issues presented in the co-occurrence exercise. The process included the following main steps: The 100 most frequently co-occurring terms are identified for every social issue (using the co-occurrence methodology) The articles containing the given social issue and co-occurring term are identified The identified articles are divided into paragraphs Social issue and co-occurring words are removed from the paragraph The VADER sentiment analysis is carried out for every identified and modified paragraph The average for the given word pair is calculated for the final result Therefore, the procedure has been repeated for 100 words for all identified social issues. The sentiment analysis resulted in a compound score for every paragraph. The score is calculated from the sum of the valence scores of each word in the paragraph, and normalised between the values -1 (most extreme negative) and +1 (most extreme positive). Finally, the average is calculated from the paragraph results. Removal of terms is meant to exclude sentiment of the co-occurring word itself, because the word may be misleading, e.g. when some technologies or companies attempt to solve a negative issue. The neighbourhood's scores would be positive, but the negative term would bring the paragraph's score down. *Hutto, C.J. & Gilbert, E.E. (2014). VADER: A Parsimonious Rule-based Model for Sentiment Analysis of Social Media Text. Eighth International Conference on Weblogs and Social Media (ICWSM-14). Ann Arbor, MI, June 2014.
DOI: 10.5281/zenodo.5789500
title: Sentiment analysis of tech media articles using VADER package and co-occurrence analysis (01.2016-04.2021)

description: Sentiment analysis of tech media articles using VADER package and co-occurrence analysis Sources with weights: Euractiv 5% The Conversation 5% Politico Europe 5 % IEEE Spectrum 5 % Techforge 5% Fastcompany 5% The Guardian (Tech) 12% Arstechnica 5% Reuters 5% Gizmodo 9% ZDNet 9% The Register 12% The Verge 9% TechCrunch 9% Methodology The sentiment analysis has been prepared using VADER*, an open-source lexicon and rule-based sentiment analysis tool. VADER is specifically designed for social media analysis, but can be also applied for other text sources. The sentiment lexicon was compiled using various sources (other sentiment data sets, Twitter etc.) and was validated by human input. The advantage of VADER is that the rule-based engine includes word-order sensitive relations and degree modifiers. As VADER is more robust in the case of shorter social media texts, the analysed articles have been divided into paragraphs. The analysis have been carried out for the social issues presented in the co-occurrence exercise. The process included the following main steps: The 100 most frequently co-occurring terms are identified for every social issue (using the co-occurrence methodology) The articles containing the given social issue and co-occurring term are identified The identified articles are divided into paragraphs Social issue and co-occurring words are removed from the paragraph The VADER sentiment analysis is carried out for every identified and modified paragraph The average for the given word pair is calculated for the final result Therefore, the procedure has been repeated for 100 words for all identified social issues. The sentiment analysis resulted in a compound score for every paragraph. The score is calculated from the sum of the valence scores of each word in the paragraph, and normalised between the values -1 (most extreme negative) and +1 (most extreme positive). Finally, the average is calculated from the paragraph results. Removal of terms is meant to exclude sentiment of the co-occurring word itself, because the word may be misleading, e.g. when some technologies or companies attempt to solve a negative issue. The neighbourhood's scores would be positive, but the negative term would bring the paragraph's score down. *Hutto, C.J. & Gilbert, E.E. (2014). VADER: A Parsimonious Rule-based Model for Sentiment Analysis of Social Media Text. Eighth International Conference on Weblogs and Social Media (ICWSM-14). Ann Arbor, MI, June 2014.