cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.15035376.v1
title: Data of Green tea and Green Coffee Extract Effect in Cardiac Fibrosis Biomarkers and Inflammation in Metabolic syndrome Rat Model

description: The data contains crude data on cardiac biomarkers and inflammation in metabolic syndrome rat model as measured by gene expression using the RT PCR method.
DOI: 10.5281/zenodo.5116087
title: CLDF dataset derived from List and Prokić's "Benchmark Database of Phonetic Alignments" from 2014

description: Cite the source of the dataset as: List, Johann-Mattis and Jelena Prokić. (2014). A benchmark database of phonetic alignments in historical linguistics and dialectology. In: Proceedings of the International Conference on Language Resources and Evaluation (LREC), 26 — 31 May 2014, Reykjavik. 288-294.
DOI: 10.5281/zenodo.5116086
title: CLDF dataset derived from List and Prokić's "Benchmark Database of Phonetic Alignments" from 2014

description: Cite the source of the dataset as: List, Johann-Mattis and Jelena Prokić. (2014). A benchmark database of phonetic alignments in historical linguistics and dialectology. In: Proceedings of the International Conference on Language Resources and Evaluation (LREC), 26 — 31 May 2014, Reykjavik. 288-294.
DOI: 10.34740/kaggle/dsv/2455068
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.34810/data72/1184
title: 01AC_1.MR.0004.0015.2013.03.10.14.06.27.296875.165383610.IMA
DOI: 10.6084/m9.figshare.15043479
title: Data of Cardiac Insulin Resistance in Metabolic Syndrome Rat Model

description: The data contains Raw data on cardiac insulin resistance in metabolic syndrome rat model as measured by gene expression using the Reverse Transcriptase PCR method.
DOI: 10.6084/m9.figshare.15043479.v1
title: Data of Cardiac Insulin Resistance in Metabolic Syndrome Rat Model

description: The data contains Raw data on cardiac insulin resistance in metabolic syndrome rat model as measured by gene expression using the Reverse Transcriptase PCR method.
DOI: 10.5517/ccdc.csd.cc23mtq9
title: CCDC 1955471: Experimental Crystal Structure Determination

description: Related Article: Someswara Rao Kosuru, Feng-Jie Lai, Yu-Lun Chang, Chen-Yu Li, Yi-Chun Lai, Shangwu Ding, Kuo-Hui Wu, Hsuan-Ying Chen, Yung-Han Lo|2021|Inorg.Chem.|60|10535|doi:10.1021/acs.inorgchem.1c01192
DOI: 10.5517/ccdc.csd.cc243n64
title: CCDC 1969715: Experimental Crystal Structure Determination

description: Related Article: Amr Elagamy, Ranjay Shaw, Chandan Shah, Ramendra Pratap|2021|J.Org.Chem.|86|9478|doi:10.1021/acs.joc.1c00788
DOI: 10.5517/ccdc.csd.cc2719p9
title: CCDC 2056840: Experimental Crystal Structure Determination

description: Related Article: Patrik Osuský, Jela Nociarová, Maroš Smolíček, Róbert Gyepes, Dimitris Georgiou, Ioannis Polyzos, Mihalis Fakis, Peter Hrobárik|2021|Org.Lett.|23|5512|doi:10.1021/acs.orglett.1c01861
DOI: 10.5517/ccdc.csd.cc27b0sd
title: CCDC 2065213: Experimental Crystal Structure Determination

description: Related Article: Zhao Zhang, Dejiang Zhang, Longzhi Zhu, Dishu Zeng, Nobuaki Kambe, Renhua Qiu|2021|Org.Lett.|23|5317|doi:10.1021/acs.orglett.1c01532
DOI: 10.6084/m9.figshare.11764272
title: Data: Field-testing olfactory ability to understand human olfactory ecology

description: Raw data and original data with additional sheets required to reproduce results are for this project are available at https://github.com/kchoover14/Field-testing-olfactory-methods<br>
DOI: 10.6084/m9.figshare.11764272.v5
title: Data: Field-testing olfactory ability to understand human olfactory ecology

description: Raw data and original data with additional sheets required to reproduce results are for this project are available at https://github.com/kchoover14/Field-testing-olfactory-methods<br>
DOI: 10.6084/m9.figshare.11764272.v4
title: Data: Field-testing olfactory ability to understand human olfactory ecology

description: These are the data for the paper referenced above. There are four sheets--two sheets are for data coded as correct, near miss, far miss, and incorrect (one for field and one for lab) and two sheets are for data coded as consistent use of lable (one for field and one for lab).<br>
DOI: 10.5281/zenodo.5113294
title: Russian Index of the Research Organizations (RIRO)

description: The RIRO dataset contains standardized official information, geodata, and various identifiers of research organizations in Russia, all interlinked via unified primary key. Currently covered data sources include ROR\GRID, WIkiData, Scopus\Scival IDs, InCites\Web of Science\eLIBRARY names, and the IDs assigned by the Russian Ministry of Science & Higher Education. RIRO lists not only the head organizations, but also their branches and last predecessors, which allows to build an hierarchy and analyze a history of mergers\liquidations using the linked IDs. RIRO is aimed to become a valuable tool for both research managers and academic scholars in the fields of science policy, scientometrics, science and technology studies. www: RIRO Project site
DOI: 10.34810/data72/1185
title: 01AC_1.MR.0004.0190.2013.03.10.14.06.27.296875.165386767.IMA
DOI: 10.5281/zenodo.5126972
title: "Albedo effect" experiment

description: This dataset is relative to the "albedo effect" experiment that has been carried out in the winter 2016/2017 in Balme, Turin, Italy, during project MeteoMet 2. <br> The experiment consists in two measurement points, 20 m apart, in an open flat field, each hosting 6 different meteorological temperature sensors and shields in a pair, so that each of the systems in one measurement point has an identical twin in the other measurement point. Each measurement point also hosts an albedometer to measure incident and reflected radiation and hygrometers. In a third measurement point, wind speed is measured.<br> The difference between the two main measurement points is that on point "a", snow was left for the whole winter, while on point "b" it was removed in 4 occasions (30 November, 22 December 2016, 20 January and 23 February 2017). The height of the snow never exceeded 40 cm.
DOI: 10.5281/zenodo.5126747
title: Simulated pp collisions at 13 TeV with 2 leptons + 1 b jet final state and selected benchmark Beyond the Standard Model signals

description: This data-set is comprised of simulated events of pp collisions at 13 TeV with 2 leptons + 1 bottom jet sinal state, with HT &gt; 500 GeV. It includes the following samples Standard-Model background (bkg), generated at leading order includes the sub-samples Z+Jets, ttbar, WW, WZ, and ZZ. The processes were generated in kinematic regions to ensure good statistics across the whole phase space. The sampling was carried out using event generation filters at parton level as follows ttbar: pT &lt;100 GeV; pT in [100, 250] GeV; pT &gt; 250 GeV The scalar sum of the pT of outgoing particles for Z+Jet: ST &lt; 250 Gev; ST in [250, 500] GeV; ST &gt; 500 GeV W/Z pT for dibosons: pT &lt; 250 GeV; pT in [250, 500] GeV; pT &gt; 500 GeV Vector-like T-quarks with masses 1.0, 1.2, 1.4 TeV (hq1000, hq1200, hq14000) pair produced either through the Standard-Model gluon (wohg) or through a BSM 3TeV heavy gluon (hg3000) tZ production through a Flavour Changing Neutral Current (fcnc) vertex The samples are provided with both a full set of features, or with a sanitised set of features. The sanitised features remove some accumulation at zeros from non-reconstructed objects (i.e. missing values). All samples were generated using MadGraph5 2.6.5 and the detector was simulated using Delphes 3 with the default CMS card. For the Standard-Model background, both Pythia 8.2 (with CMS CUETP8M1 underlying event tune and NNPDF 2.3 parton distribution functions) (pythia) and Herwig 7 (herwig) hadronisations are provided to compare the background simulation. For the BSM signals only Pythia is provided. For the details of the generation and on the differences between the two feature sets please refer to Finding new physics without learning about it: anomaly detection as a tool for searches at colliders for more details. Each file provides a train:validation:split with the ratios 1:1:1 to ensure equal statistical description of the events at each step of the machine learning workflow.
DOI: 10.5281/zenodo.5126746
title: Simulated pp collisions at 13 TeV with 2 leptons + 1 b jet final state and selected benchmark Beyond the Standard Model signals

description: This data-set is comprised of simulated events of pp collisions at 13 TeV with 2 leptons + 1 bottom jet sinal state, with HT &gt; 500 GeV. It includes the following samples Standard-Model background (bkg), generated at leading order includes the sub-samples Z+Jets, ttbar, WW, WZ, and ZZ. The processes were generated in kinematic regions to ensure good statistics across the whole phase space. The sampling was carried out using event generation filters at parton level as follows ttbar: pT &lt;100 GeV; pT in [100, 250] GeV; pT &gt; 250 GeV The scalar sum of the pT of outgoing particles for Z+Jet: ST &lt; 250 Gev; ST in [250, 500] GeV; ST &gt; 500 GeV W/Z pT for dibosons: pT &lt; 250 GeV; pT in [250, 500] GeV; pT &gt; 500 GeV Vector-like T-quarks with masses 1.0, 1.2, 1.4 TeV (hq1000, hq1200, hq14000) pair produced either through the Standard-Model gluon (wohg) or through a BSM 3TeV heavy gluon (hg3000) tZ production through a Flavour Changing Neutral Current (fcnc) vertex The samples are provided with both a full set of features, or with a sanitised set of features. The sanitised features remove some accumulation at zeros from non-reconstructed objects (i.e. missing values). All samples were generated using MadGraph5 2.6.5 and the detector was simulated using Delphes 3 with the default CMS card. For the Standard-Model background, both Pythia 8.2 (with CMS CUETP8M1 underlying event tune and NNPDF 2.3 parton distribution functions) (pythia) and Herwig 7 (herwig) hadronisations are provided to compare the background simulation. For the BSM signals only Pythia is provided. For the details of the generation and on the differences between the two feature sets please refer to Finding new physics without learning about it: anomaly detection as a tool for searches at colliders for more details. Each file provides a train:validation:split with the ratios 1:1:1 to ensure equal statistical description of the events at each step of the machine learning workflow.
DOI: 10.6084/m9.figshare.15043299
title: Genomic data reveal contrasting patterns of divergence among island and mainland birds of the Eastern Mediterranean

description: 178 individuals from six bird species have been sampled and we used double-digest RAD sequencing to examine population-level genetic divergence and structure between island-mainland populations of Eastern Mediterranean
DOI: 10.6084/m9.figshare.15043299.v2
title: Genomic data reveal contrasting patterns of divergence among island and mainland birds of the Eastern Mediterranean

description: 178 individuals from six bird species have been sampled and we used double-digest RAD sequencing to examine population-level genetic divergence and structure between island-mainland populations of Eastern Mediterranean
DOI: 10.34810/data72/1186
title: 01AC_1.MR.0004.0142.2013.03.10.14.06.27.296875.165385903.IMA
DOI: 10.5281/zenodo.5127687
title: CLDF dataset derived from Lieberherr and Bodt's "Comparative Wordlists of Kho-Bwa" from 2017

description: Cite the source of the dataset as: Lieberherr, Ismail and Bodt, Timotheus Adrianus (2017): Sub-grouping Kho-Bwa based on shared core vocabulary. Himalayan Linguistics 16(2). 26-63. URL: https://escholarship.org/uc/item/4t27h5fg
DOI: 10.15468/xvyzgu
title: Studies on the systematics and taxonomy of the genus Hylaeus F. (8) Revision of the Afrotropic subgenus Hylaeus (Deranchylaeus) Bridwell (Hymenoptera: Anthophila, Colletidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Dathe, Holger H. (2014): Studies on the systematics and taxonomy of the genus Hylaeus F. (8) Revision of the Afrotropic subgenus Hylaeus (Deranchylaeus) Bridwell (Hymenoptera: Anthophila, Colletidae). Zootaxa 3874 (1): 1-84, DOI: http://dx.doi.org/10.11646/zootaxa.3874.1.1
DOI: 10.5281/zenodo.5111976
title: Model weights for COIPS system

description: This dataset is publish by the research "<em>A Deep Learning-based Quality Assessment and Segmentation System with a Large-scale Benchmark Dataset for Optical Coherence Tomographic Angiography Image</em>" Detail: This is the <strong>model weights</strong> for the automated computer-aided OCTA image processing system (COIPS). GitHub: https://github.com/shanzha09/COIPS These datasets are public available, if you use the dataset or our system in your research, please <strong>cite</strong> our paper: <em><code>A Deep Learning-based Quality Assessment and Segmentation System with a Large-scale Benchmark Dataset for Optical Coherence Tomographic Angiography Image</code></em>. arXiv:https://arxiv.org/abs/2107.10476v1
DOI: 10.5281/zenodo.5074838
title: Model weights for COIPS system

description: This dataset is publish by the research "<em>A Deep Learning-based Quality Assessment and Segmentation System with a Large-scale Benchmark Dataset for Optical Coherence Tomographic Angiography Image</em>" Detail: This is the <strong>model weights</strong> for the automated computer-aided OCTA image processing system (COIPS). GitHub: https://github.com/shanzha09/COIPS These datasets are public available, if you use the dataset or our system in your research, please <strong>cite</strong> our paper: <em><code>A Deep Learning-based Quality Assessment and Segmentation System with a Large-scale Benchmark Dataset for Optical Coherence Tomographic Angiography Image</code></em>. arXiv:https://arxiv.org/abs/2107.10476v1
DOI: 10.34810/data72/1187
title: 01AC_1.MR.0004.0072.2013.03.10.14.06.27.296875.165384636.IMA
DOI: 10.6073/pasta/baee4fa442c41079fc32243be7f233a5
title: Long-term monitoring of ground-dwelling arthropods in the McDowell Sonoran Preserve, Scottsdale, Arizona, ongoing since 2012 (Reformatted to a Darwin Core Archive)

description: This data package is formatted as a Darwin Core Archive (DwC-A, event core). For more information on Darwin Core see https://www.tdwg.org/standards/dwc/. This Level 2 data package was derived from the Level 1 data package found here: https://pasta.lternet.edu/package/metadata/eml/edi/248/2, which was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-cap/643/3. The abstract below was extracted from the Level 0 data package and is included for context:
DOI: 10.34810/data72/1188
title: 01AC_1.MR.0004.0197.2013.03.10.14.06.27.296875.165386893.IMA
DOI: 10.6084/m9.figshare.14370272
title: MarsWRF_data

description: Simulation of Martian dust effects on the polar CO<sub>2</sub> ice caps and atmospheric circulation using the MarsWRF model
DOI: 10.6084/m9.figshare.15043605
title: sesh_21-07-20_165209_noOpenPose.zip

description: The dataset used to generate the animation seen here - https://twitter.com/JonMatthis/status/1417864732749582337<br><br>Code repo here - github.com/jonmatthis/freemocap<br><br>Specifically, this is the function used to generate the animation -<br><br>https://github.com/jonmatthis/freemocap/blob/main/freemocap/play_skeleton_animation.py<br><br>(Currently that animation doesn't work on other-people's computers, I think ...)<br><br>Details about the project here - jonmatthis.com/fmc.html<br><br>All still a work in progress! Stay tuned on the project for more!<br><br>See the 'Sample Data' section of the GitHub wiki for details - https://github.com/jonmatthis/freemocap/wiki#sample-data
DOI: 10.6084/m9.figshare.14370272.v3
title: MarsWRF_data

description: Simulation of Martian dust effects on the polar CO<sub>2</sub> ice caps and atmospheric circulation using the MarsWRF model
DOI: 10.6084/m9.figshare.15043605.v1
title: sesh_21-07-20_165209_noOpenPose.zip

description: The dataset used to generate the animation seen here - https://twitter.com/JonMatthis/status/1417864732749582337<br><br>Code repo here - github.com/jonmatthis/freemocap<br><br>Specifically, this is the function used to generate the animation -<br><br>https://github.com/jonmatthis/freemocap/blob/main/freemocap/play_skeleton_animation.py<br><br>(Currently that animation doesn't work on other-people's computers, I think ...)<br><br>Details about the project here - jonmatthis.com/fmc.html<br><br>All still a work in progress! Stay tuned on the project for more!<br><br>See the 'Sample Data' section of the GitHub wiki for details - https://github.com/jonmatthis/freemocap/wiki#sample-data
DOI: 10.5281/zenodo.5116501
title: Pollinators increasing Cherry yields

description: <strong>Data Availability </strong>supporting the results in the proposed paper: the use of<strong> </strong>pollinator attractants to improve fructification rate on the West Indian Cherry Trees.
DOI: 10.3886/e139581
title: The Baker Hypothesis

description: In 1985, James A. Baker III's “Program for Sustained Growth” proposed a set of economic policy reforms including, inflation stabilization, trade liberalization, greater openness to foreign investment, and privatization, that he believed would lead to faster growth in countries then known as the Third World, but now categorized as emerging and developing economies (EMDEs). A country-specific, time-series assessment of the reform process reveals three clear facts. First, in the 10-year-period after stabilizing high inflation, the average growth rate of real GDP in EMDEs is 2.2 percentage points higher than in the prior ten-year period. Second, the corresponding growth increase for trade liberalization episodes is 2.66 percentage points. Third, in the decade after opening their capital markets to foreign equity investment, the spread between EMDEs average cost of equity capital and that of the US declines by 240 basis points. The impact of privatization is less straightforward to assess, but taken together the three central facts of reform provide empirical support for the Baker Hypothesis and suggest a simple neoclassical interpretation of the unprecedented increase in growth that has taken place in EMDEs since 1995.
description: Smallest Geographic Unit: country
description: other;
DOI: 10.34810/data72/1189
title: 01AC_1.MR.0004.0120.2013.03.10.14.06.27.296875.165385500.IMA
DOI: 10.3886/e138821
title: Data for: "Washington Consensus in Latin America: From Raw Model to Straw Man"

description: We take stock of three decades of a love-hate relationship between Latin American policies and the Washington Consensus, reviewing the initial national debate and its implementation thereafter. Focusing on Brazil, Chile, and Mexico, we discuss the varying degrees of the WC implementation and evaluate performance. Additionally, we analyze the adoption of further policies that supplemented the original WC and identify remaining challenges. We find mixed results: macroeconomic stability is much improved, but the economic growth performance has generally been disappointing, despite improvement relative to the 1980s. We discuss the risk that the region could revert parts of the WC reforms necessary for sustained growth and miss the opportunity to push for changes leading to more productive, sustainable, and fair economies.<b></b>
DOI: 10.3886/e138821v1
title: Data for: "Washington Consensus in Latin America: From Raw Model to Straw Man"

description: We take stock of three decades of a love-hate relationship between Latin American policies and the Washington Consensus, reviewing the initial national debate and its implementation thereafter. Focusing on Brazil, Chile, and Mexico, we discuss the varying degrees of the WC implementation and evaluate performance. Additionally, we analyze the adoption of further policies that supplemented the original WC and identify remaining challenges. We find mixed results: macroeconomic stability is much improved, but the economic growth performance has generally been disappointing, despite improvement relative to the 1980s. We discuss the risk that the region could revert parts of the WC reforms necessary for sustained growth and miss the opportunity to push for changes leading to more productive, sustainable, and fair economies.<b></b>
DOI: 10.3886/e132521
title: Data and Code for: The Great Unequalizer: Initial Health Effects of COVID-19 in the United States

description: These files contain the programs and data for the journal article "The Great Unequalizer: Initial Health Effects of COVID-19 in the United States," Journal of Economic Perspectives.<br><br>
DOI: 10.3886/e132521v1
title: Data and Code for: The Great Unequalizer: Initial Health Effects of COVID-19 in the United States

description: These files contain the programs and data for the journal article "The Great Unequalizer: Initial Health Effects of COVID-19 in the United States," Journal of Economic Perspectives.<br><br>
DOI: 10.34740/kaggle/dsv/2455223
title: COVID Vaccination in World (updated daily)
DOI: 10.5281/zenodo.5127891
title: PAMIP HadGEM3-LL CMIP6

description: A selection of data from PAMIP HadGEM3-LL CMIP6 experiments (run at the University of Exeter). See README.txt for more details.
DOI: 10.5281/zenodo.5127890
title: PAMIP HadGEM3-LL CMIP6

description: A selection of data from PAMIP HadGEM3-LL CMIP6 experiments (run at the University of Exeter). See README.txt for more details.
DOI: 10.34810/data72/1190
title: 01AC_1.MR.0004.0093.2013.03.10.14.06.27.296875.165385014.IMA
DOI: 10.5281/zenodo.5128097
title: CLDF dataset derived from Lundgren's "Phonological Reconstruction of Proto-Omagua-Kokama-Tupinambá" from 2020

description: Cite the source of the dataset as: Lundgren, Olof (2020): A phonological reconstruction of Proto-Omagua-Kokama-Tupinambá. Master's thesis. Lund: Lund University.
DOI: 10.6084/m9.figshare.15043698
title: Phytotaxa articles cited as TSV file

description: The TSV file has a header row mostly of CSL terms (e.g., "title", "container-title", "DOI"). The first column ("guid") is the DOI of the Phytotaxa article that cites that work, "guid-date" is the date of publication of the Phytotaxa article. The final column "unstructured" is the original citation string. Each data row is a single work that is cited, the "guid" field groups together works cited by the same Phytotaxa article.
DOI: 10.6084/m9.figshare.15043698.v1
title: Phytotaxa articles cited as TSV file

description: The TSV file has a header row mostly of CSL terms (e.g., "title", "container-title", "DOI"). The first column ("guid") is the DOI of the Phytotaxa article that cites that work, "guid-date" is the date of publication of the Phytotaxa article. The final column "unstructured" is the original citation string. Each data row is a single work that is cited, the "guid" field groups together works cited by the same Phytotaxa article.
DOI: 10.5517/ccdc.csd.cc27n255
title: CCDC 2074866: Experimental Crystal Structure Determination

description: Related Article: Rishabh Gupta, Harshad Paithankar, Jeetender Chugh, Ramamoorthy Boomishankar|2021|Inorg.Chem.|60|10468|doi:10.1021/acs.inorgchem.1c01086
DOI: 10.5517/ccdc.csd.cc273bf4
title: CCDC 2058785: Experimental Crystal Structure Determination

description: Related Article: Emilia Kuzniak-Glanowska, Piotr Konieczny, Robert Peka, Tadeusz M. Muzio, Marcin Kozie, Robert Podgajny|2021|Inorg.Chem.|60|10186|doi:10.1021/acs.inorgchem.1c00432
DOI: 10.5517/ccdc.csd.cc273bg5
title: CCDC 2058786: Experimental Crystal Structure Determination

description: Related Article: Emilia Kuzniak-Glanowska, Piotr Konieczny, Robert Peka, Tadeusz M. Muzio, Marcin Kozie, Robert Podgajny|2021|Inorg.Chem.|60|10186|doi:10.1021/acs.inorgchem.1c00432
DOI: 10.34810/data72/1191
title: 01AC_1.MR.0004.0204.2013.03.10.14.06.27.296875.165387019.IMA
DOI: 10.5281/zenodo.5128056
title: PrASan Experiment Dataset

description: PrASan Experiment Dataset