cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3904069
title: Tweet IDs using History related hashtags

description: This repository contains IDs of tweets that are related to history and that were collected for the purpose of analyzing how history-related content is disseminated in online social networks. Our IJDL paper shows the analysis results. The preliminary version of the analysis report is available here. We used the Twitter official search API provided by Twitter to collect tweets. Note that three kinds of tweets are typically found in Twitter: tweets, retweets and quote tweets. Tweet is an original text issued as a post by a Twitter user. A retweet is a copy of an original tweet for the purpose of propagating the tweet content to more users (i.e., one's followers). Finally, a quote tweet copies the content of another tweet and allows also to add new content. A quote tweet is sometimes called a retweet with a comment. In this work, we simply treat all quote tweets as original tweets since they include additional information/text. There were however only 1,877 (0.2%) tweets recognized as quote tweets in our dataset. To collect tweets that refer to the past or are related to collective memory of past events/entities, we performed hashtag based crawling together with bootstrapping procedure. <br> At the beginning, we gathered several historical hashtags selected by experts (e.g. <strong>#HistoryTeacher</strong>, <strong>#history</strong>, <strong>#WmnHist</strong>). <br> In addition, we prepared several hashtags that are commonly used when referring to the past: <strong>#onthisday</strong>, <strong>#thisdayinhistory</strong>, <strong>#throwbackthursday</strong>, <strong>#otd</strong>. We then collected tweets that contain these hashtags by using Twitter official search API. The collected tweets were issued from 8 March 2016 to 2 July 2018. <br> Bootstrapping allowed us to search for other hashtags frequently used with the seed hashtags. The tweets tagged by such hashtags were then included into the seed set after the manual inspection of all the discovered hashtags as of their relation to the history, and filtering ones that are unrelated. <br> In total, we gathered 147 history-related hashtags which allowed us to collect 2,370,252 tweet IDs pointing to 882,977 tweets and 1,487,275 re-tweets. Related papers: Yasunobu Sumikawa, Adam Jatowt, and Marten During, <strong>"Digital History meets Microblogging: Analyzing Collective Memories in Twitter"</strong>, In Proceedings of the 18th ACM/IEEE-CS Joint Conference on Digital Libraries, JCDL'18, IEEE/ACM, pp. 213 -- 222, 2018. [paper] Yasunobu Sumikawa and Adam Jatowt, <strong>"Analyzing History-related Posts in Twitter"</strong>, International Journal on Digital Libraries, Springer, 2020. https://doi.org/10.1007/s00799-020-00296-2 [paper] Yasunobu Sumikawa and Adam Jatowt, <strong>"Annotated Dataset of History-related Tweets"</strong>, Data in Brief, Vol. 38, pp. 107344, Elsevier, 2021. [paper][annotated dataset]
DOI: 10.5517/ccdc.csd.cc280qgh
title: CCDC 2086066: Experimental Crystal Structure Determination

description: Related Article: Pengzhi Wang, Jonathan S. Lindsey|2021|J.Org.Chem.|86|11794|doi:10.1021/acs.joc.1c01239
DOI: 10.5517/ccdc.csd.cc280qhj
title: CCDC 2086067: Experimental Crystal Structure Determination

description: Related Article: Pengzhi Wang, Jonathan S. Lindsey|2021|J.Org.Chem.|86|11794|doi:10.1021/acs.joc.1c01239
DOI: 10.5517/ccdc.csd.cc28439v
title: CCDC 2089316: Experimental Crystal Structure Determination

description: Related Article: Neil W. J. Scott, Mark J. Ford, David R. Husbands, Adrian C. Whitwood, Ian J. S. Fairlamb|2021|Organometallics|40|2995|doi:10.1021/acs.organomet.1c00347
DOI: 10.5517/ccdc.csd.cc285j88
title: CCDC 2090679: Experimental Crystal Structure Determination

description: Related Article: Nourdine Boukabcha, Amani Direm, Mokhtaria Drissi, Youcef Megrouss, Nawel Khelloul, Necmi Dege, Murat Tuna, Abdelkader Chouaih|2021|Inorg.Chem.Commun.|133|108884|doi:10.1016/j.inoche.2021.108884
DOI: 10.5517/ccdc.csd.cc28865y
title: CCDC 2093249: Experimental Crystal Structure Determination

description: Related Article: A.K. Subanakov, E.V. Kovtunets, B.G. Bazarov, A.M. Pugachev, D.O. Sofich, J.G. Bazarova|2021|Solid State Sciences|120|106719|doi:10.1016/j.solidstatesciences.2021.106719
DOI: 10.5517/ccdc.csd.cc28by2n
title: CCDC 2095881: Experimental Crystal Structure Determination

description: Related Article: Thomas Pickl, Alexander Pöthig|2021|Organometallics|40|3056|doi:10.1021/acs.organomet.1c00417
DOI: 10.5517/ccdc.csd.cc28by3p
title: CCDC 2095882: Experimental Crystal Structure Determination

description: Related Article: Thomas Pickl, Alexander Pöthig|2021|Organometallics|40|3056|doi:10.1021/acs.organomet.1c00417
DOI: 10.5517/ccdc.csd.cc25ff02
title: CCDC 2008893: Experimental Crystal Structure Determination

description: Related Article: Sigridur G. Suman, Thorvaldur Snæbjörnsson, Oddný Ragnarsdóttir, Alexey V. Polukeev, Ola F. Wendt|2021|Polyhedron|209|115447|doi:10.1016/j.poly.2021.115447
DOI: 10.5517/ccdc.csd.cc28cw2m
title: CCDC 2096780: Experimental Crystal Structure Determination

description: Related Article: Adrian Richter, Michael Patzer, Richard Goddard, Julia B. Lingnau, Peter Imming, Rüdiger W. Seidel|2022|J.Mol.Struct.|1248|131419|doi:10.1016/j.molstruc.2021.131419
DOI: 10.5517/ccdc.csd.cc25fdyz
title: CCDC 2008891: Experimental Crystal Structure Determination

description: Related Article: Sigridur G. Suman, Thorvaldur Snæbjörnsson, Oddný Ragnarsdóttir, Alexey V. Polukeev, Ola F. Wendt|2021|Polyhedron|209|115447|doi:10.1016/j.poly.2021.115447
DOI: 10.5517/ccdc.csd.cc25fdz0
title: CCDC 2008892: Experimental Crystal Structure Determination

description: Related Article: Sigridur G. Suman, Thorvaldur Snæbjörnsson, Oddný Ragnarsdóttir, Alexey V. Polukeev, Ola F. Wendt|2021|Polyhedron|209|115447|doi:10.1016/j.poly.2021.115447
DOI: 10.5517/ccdc.csd.cc28mzmj
title: CCDC 2104578: Experimental Crystal Structure Determination

description: Related Article: Adrian Richter, Michael Patzer, Richard Goddard, Julia B. Lingnau, Peter Imming, Rüdiger W. Seidel|2022|J.Mol.Struct.|1248|131419|doi:10.1016/j.molstruc.2021.131419
DOI: 10.6084/m9.figshare.16641331
title: Supplementary 1 Entity extraction result

description: Entity extraction result
DOI: 10.6084/m9.figshare.16641331.v1
title: Supplementary 1 Entity extraction result

description: Entity extraction result
DOI: 10.5281/zenodo.5516293
title: Multiscale Temporal Response of Salt Intrusion to Transient River and Ocean Forcing

description: Model and validation data presented in Payo Payo et al, Multiscale Temporal Response of Salt Intrusion to Transient River and Ocean Forcing (JGR-Oceans, 2021, submitted). We used a 3-dimensional unstructured hydrodynamic model 3-dimensional unstructured hydrodynamic model (FVCOM Finite Volume Community Ocean Model)understand river and tide forcing to disentangle the multiscale temporal pattern of salt intrusion in estuaries subject to transient forcing due to river and tide. We implemented the Pearl River Delta as a case study for 2007/2008. The dataset consists of: ·Measured and modelled salinity and elevation data at the validation stations. ·River discharge data ·SSH data ·Salt intrusion length
DOI: 10.5281/zenodo.5516292
title: Multiscale Temporal Response of Salt Intrusion to Transient River and Ocean Forcing

description: Model and validation data presented in Payo Payo et al, Multiscale Temporal Response of Salt Intrusion to Transient River and Ocean Forcing (JGR-Oceans, 2021, submitted). We used a 3-dimensional unstructured hydrodynamic model 3-dimensional unstructured hydrodynamic model (FVCOM Finite Volume Community Ocean Model)understand river and tide forcing to disentangle the multiscale temporal pattern of salt intrusion in estuaries subject to transient forcing due to river and tide. We implemented the Pearl River Delta as a case study for 2007/2008. The dataset consists of: ·Measured and modelled salinity and elevation data at the validation stations. ·River discharge data ·SSH data ·Salt intrusion length
DOI: 10.34740/kaggle/dsv/2630603
title: Causes of Death in Indonesia
DOI: 10.5281/zenodo.4836687
title: ICDAR 2021 Historical Document Classification Dataset for Task 2 - Dating

description: Dataset for the localization classification task of the ICDAR 2021 Competition on Historical Document Classification competition. The tar.gz file contains the images and ground truth file (CSV format). The metadata csv file contains information, such as where the image comes from.
DOI: 10.5281/zenodo.4836686
title: ICDAR 2021 Historical Document Classification Dataset for Task 2 - Dating

description: Dataset for the localization classification task of the ICDAR 2021 Competition on Historical Document Classification competition. The tar.gz file contains the images and ground truth file (CSV format). The metadata csv file contains information, such as where the image comes from.
DOI: 10.5281/zenodo.4836659
title: ICDAR 2021 Historical Document Classification Test Dataset for Task 1 - Scripts

description: Test set for thescript classification task of the ICDAR 2021 Competition on Historical Document Classification competition. The tar.gz file contains the images and a ground truth CSV file. The csv file indicates for each image from which document and page it corresponds to, as well as whether augmentations have been applied.
DOI: 10.5281/zenodo.4836658
title: ICDAR 2021 Historical Document Classification Test Dataset for Task 1 - Scripts

description: Test set for thescript classification task of the ICDAR 2021 Competition on Historical Document Classification competition. The tar.gz file contains the images and a ground truth CSV file. The csv file indicates for each image from which document and page it corresponds to, as well as whether augmentations have been applied.
DOI: 10.5281/zenodo.5516387
title: Data files for manuscript "Prevalence of hereditary tubulointerstitial kidney diseases in the German Chronic Kidney Disease study"

description: #2021-09-19<br> #Summary<br> This ZIP-file contains the Excel files used for all analyses for the manuscript "Prevalence of hereditary tubulointerstitial kidney diseases in the German Chronic Kidney Disease study". <br> #File structure<br> README.txt This README file.<br> File S1 ("FileS1_GCKD-ADTKD.cohort.xlsx") Cohort characteristics, sequencing quality parameters and fingerprinting results.<br> File S2 ("FileS2_GCKD-ADTKD.content.xlsx") Sequencing panel design/ content with information on gene domains used for Figure 2.<br> File S3 ("FileS3_GCKD-ADTKD.variants.xlsx") Information on small variants, CNVs and MUC1 analyses (SNaPshot and adVNTR).<br> File S4 ("FileS4_GCKD-ADTKD.simulation.xlsx") Curated variant and individual data from the Groopman study with results of the simulation for Figure 4. <br> #Files and checksums<br> 2D6184BC145987D3EE2E0DC6873DDDDB ./README.txt<br> 10EE4C3C9D9ED6417647F26A09583820 ./FileS1_GCKD-ADTKD.cohort.xlsx<br> 9F95661845215FB7875EB053F887AB36 ./FileS2_GCKD-ADTKD.content.xlsx<br> 2AC19FBC6103CB48905F64716428AE5B ./FileS3_GCKD-ADTKD.variants.xlsx<br> 2D6184BC145987D3EE2E0DC6873DDDDB ./FileS4_GCKD-ADTKD.simulation.xlsx
DOI: 10.5281/zenodo.5414141
title: GTEx analysis for the paper entitled: The histone variant H2A.J is enriched in luminal epithelial gland cells

description: H2A.J is a poorly studied mammalian-specific variant of histone H2A. We used immunohistochemistry to study its localization in various human and mouse tissues. H2A.J showed cell-type specific expression with a striking enrichment in luminal epithelial cells of multiple glands including those of breast, prostate, pancreas, thyroid, stomach, and salivary glands. H2A.J was also highly expressed in many carcinoma cell lines and in particular, those derived from luminal breast and prostate cancer. H2A.J thus appears to be a novel marker for luminal epithelial cancers. Knocking-out the H2AFJ gene in T47D luminal breast cancer cells reduced the expression of several estrogen-responsive genes which may explain its putative tumorigenic role in luminal-B breast cancer.
DOI: 10.5281/zenodo.5414140
title: GTEx analysis for the paper entitled: The histone variant H2A.J is enriched in luminal epithelial gland cells

description: H2A.J is a poorly studied mammalian-specific variant of histone H2A. We used immunohistochemistry to study its localization in various human and mouse tissues. H2A.J showed cell-type specific expression with a striking enrichment in luminal epithelial cells of multiple glands including those of breast, prostate, pancreas, thyroid, stomach, and salivary glands. H2A.J was also highly expressed in many carcinoma cell lines and in particular, those derived from luminal breast and prostate cancer. H2A.J thus appears to be a novel marker for luminal epithelial cancers. Knocking-out the H2AFJ gene in T47D luminal breast cancer cells reduced the expression of several estrogen-responsive genes which may explain its putative tumorigenic role in luminal-B breast cancer.
DOI: 10.5281/zenodo.5495675
title: Transcriptome analysis of T47D cells and H2A.J-KO derivatives for the paper entitled: The histone variant H2A.J is enriched in luminal epithelial gland cells

description: H2A.J is a poorly studied mammalian-specific variant of histone H2A. We used immunohistochemistry to study its localization in various human and mouse tissues. H2A.J showed cell-type specific expression with a striking enrichment in luminal epithelial cells of multiple glands including those of breast, prostate, pancreas, thyroid, stomach, and salivary glands. H2A.J was also highly expressed in many carcinoma cell lines and in particular, those derived from luminal breast and prostate cancer. H2A.J thus appears to be a novel marker for luminal epithelial cancers. Knocking-out the H2AFJ gene in T47D luminal breast cancer cells reduced the expression of several estrogen-responsive genes which may explain its putative tumorigenic role in luminal-B breast cancer.
DOI: 10.5281/zenodo.5516244
title: goosynthtrainnosegmpkl

description: goosynthtrainnosegmpkl
DOI: 10.5281/zenodo.5516243
title: goosynthtrainnosegmpkl

description: goosynthtrainnosegmpkl
DOI: 10.5281/zenodo.5516407
title: goosynthtestnosegmpkl

description: goosynthtestnosegmpkl
DOI: 10.5281/zenodo.5516406
title: goosynthtestnosegmpkl

description: goosynthtestnosegmpkl
DOI: 10.25345/c59k05
title: MassIVE MSV000088120 - GBS S protein Supernatant Proteome
title: Quantitative proteomic analysis of culture supernatants from various GBS strains.
DOI: 10.3886/e112536v1-96520
title: Replication data for: Credit Spreads and Business Cycle Fluctuations

description: Using micro-level data, we construct a credit spread index with considerable predictive power for future economic activity. We decompose the credit spread into a component that captures firm-specific information on expected defaults and a residual component—the excess bond premium. Shocks to the excess bond premium that are orthogonal to the current state of the economy lead to declines in economic activity and asset prices. An increase in the excess bond premium appears to reflect a reduction in the risk-bearing capacity of the financial sector, which induces a contraction in the supply of credit and a deterioration in macroeconomic conditions.
DOI: 10.6084/m9.figshare.16640998
title: Life span and genus effects on seed, germination, and vegetative growth traits in Lathyrus, Phaseolus, and Vicia

description: This dataset contains raw data values for each of the main data types used in the study "The role of genus and life span in predicting seed and vegetative trait variation and correlation in Lathyrus, Phaseolus, and Vicia" (American Journal of Botany), including seed size/shape, germination, and vegetative growth data. This includes numerous USDA accessions of annual and perennial species from each genus.<br>Supplemental Spreadsheet 1 contains accession-level data and means, individual seed size/shape data, individual germination T50 data, individual vegetative data, and daily environmental conditions during vegetative growth.<br>Supplemental Spreadsheet 2 contains replicate (petri dish) level data on germination counts for germination T50, as well as raw daily germinant counts which were used to calculate germination T50.<br>Data types are separated by the different tabs. The last tabs in both spreadsheets contain explanatory information for all column headers.
DOI: 10.6084/m9.figshare.16640998.v1
title: Life span and genus effects on seed, germination, and vegetative growth traits in Lathyrus, Phaseolus, and Vicia

description: This dataset contains raw data values for each of the main data types used in the study "The role of genus and life span in predicting seed and vegetative trait variation and correlation in Lathyrus, Phaseolus, and Vicia" (American Journal of Botany), including seed size/shape, germination, and vegetative growth data. This includes numerous USDA accessions of annual and perennial species from each genus.<br>Supplemental Spreadsheet 1 contains accession-level data and means, individual seed size/shape data, individual germination T50 data, individual vegetative data, and daily environmental conditions during vegetative growth.<br>Supplemental Spreadsheet 2 contains replicate (petri dish) level data on germination counts for germination T50, as well as raw daily germinant counts which were used to calculate germination T50.<br>Data types are separated by the different tabs. The last tabs in both spreadsheets contain explanatory information for all column headers.
DOI: 10.6084/m9.figshare.16567371.v2
title: Supplementary Tables - Discovery of Thymosin Beta-4 as a Human Exerkine and Growth Factor

description: Skeletal muscle is an endocrine organ secreting exercise-induced factors (exerkines), which play a pivotal role in inter-organ crosstalk. Using mass spectrometry (MS)-based proteomics, we characterized the secretome and identified thymosin beta-4 (TMSB4X) as the most upregulated secreted protein in the media of contracting C2C12 myotubes. TMSB4X was also acutely increased in plasma of exercising humans irrespective of the insulin resistance condition or exercise mode. Treatment of mice with TMSB4X did not ameliorate the metabolic disruptions associated with diet induced-obesity, nor did it enhance muscle regeneration <i>in vivo</i>. However, TMSB4X increased osteoblast proliferation and neurite outgrowth, consistent with its WADA-classification as a prohibited growth factor. Therefore, we report TMSB4X as a human exerkine with a potential role in cellular crosstalk.<br>The data contain the supplementary tables.
DOI: 10.6084/m9.figshare.16567371
title: TableS1. Conditioned media proteome (secretome) from EPS-stimulated C2C12 myotubes and their controls.

description: <b>Discovery of Thymosin Beta-4 as a Human Exerkine and Growth Factor</b><br>Skeletal muscle is an endocrine organ secreting exercise-induced factors (exerkines), which play a pivotal role in inter-organ crosstalk. Using mass spectrometry (MS)-based proteomics, we characterized the secretome and identified thymosin beta-4 (TMSB4X) as the most upregulated secreted protein in the media of contracting C2C12 myotubes. TMSB4X was also acutely increased in plasma of exercising humans irrespective of the insulin resistance condition or exercise mode. Treatment of mice with TMSB4X did not ameliorate the metabolic disruptions associated with diet induced-obesity, nor did it enhance muscle regeneration <i>in vivo</i>. However, TMSB4X increased osteoblast proliferation and neurite outgrowth, consistent with its WADA-classification as a prohibited growth factor. Therefore, we report TMSB4X as a human exerkine with a potential role in cellular crosstalk.<br>The data contain:<b>TableS1.</b> Conditioned media proteome (secretome) from EPS-stimulated C2C12 myotubes and their controls.<br><br><b></b>
DOI: 10.6084/m9.figshare.16567371.v4
title: TableS1. Conditioned media proteome (secretome) from EPS-stimulated C2C12 myotubes and their controls.

description: <b>Discovery of Thymosin Beta-4 as a Human Exerkine and Growth Factor</b><br>Skeletal muscle is an endocrine organ secreting exercise-induced factors (exerkines), which play a pivotal role in inter-organ crosstalk. Using mass spectrometry (MS)-based proteomics, we characterized the secretome and identified thymosin beta-4 (TMSB4X) as the most upregulated secreted protein in the media of contracting C2C12 myotubes. TMSB4X was also acutely increased in plasma of exercising humans irrespective of the insulin resistance condition or exercise mode. Treatment of mice with TMSB4X did not ameliorate the metabolic disruptions associated with diet induced-obesity, nor did it enhance muscle regeneration <i>in vivo</i>. However, TMSB4X increased osteoblast proliferation and neurite outgrowth, consistent with its WADA-classification as a prohibited growth factor. Therefore, we report TMSB4X as a human exerkine with a potential role in cellular crosstalk.<br>The data contain:<b>TableS1.</b> Conditioned media proteome (secretome) from EPS-stimulated C2C12 myotubes and their controls.<br><br><b></b>
DOI: 10.6084/m9.figshare.16567371.v3
title: TableS1 - Discovery of Thymosin Beta-4 as a Human Exerkine and Growth Factor

description: <b>TableS1.</b> Conditioned media proteome (secretome) from EPS-stimulated C2C12 myotubes and their controls.
DOI: 10.6084/m9.figshare.16567461
title: TableS2. Cell proteome from EPS-stimulated C2C12 myotubes and their controls.

description: <b>Discovery of Thymosin Beta-4 as a Human Exerkine and Growth Factor</b><br>Skeletal muscle is an endocrine organ secreting exercise-induced factors (exerkines), which play a pivotal role in inter-organ crosstalk. Using mass spectrometry (MS)-based proteomics, we characterized the secretome and identified thymosin beta-4 (TMSB4X) as the most upregulated secreted protein in the media of contracting C2C12 myotubes. TMSB4X was also acutely increased in plasma of exercising humans irrespective of the insulin resistance condition or exercise mode. Treatment of mice with TMSB4X did not ameliorate the metabolic disruptions associated with diet induced-obesity, nor did it enhance muscle regeneration <i>in vivo</i>. However, TMSB4X increased osteoblast proliferation and neurite outgrowth, consistent with its WADA-classification as a prohibited growth factor. Therefore, we report TMSB4X as a human exerkine with a potential role in cellular crosstalk.<br>The data contain:<b>TableS2.</b> Cell proteome from EPS-stimulated C2C12 myotubes and their controls.
DOI: 10.6084/m9.figshare.16567461.v2
title: TableS2. Cell proteome from EPS-stimulated C2C12 myotubes and their controls.

description: <b>Discovery of Thymosin Beta-4 as a Human Exerkine and Growth Factor</b><br>Skeletal muscle is an endocrine organ secreting exercise-induced factors (exerkines), which play a pivotal role in inter-organ crosstalk. Using mass spectrometry (MS)-based proteomics, we characterized the secretome and identified thymosin beta-4 (TMSB4X) as the most upregulated secreted protein in the media of contracting C2C12 myotubes. TMSB4X was also acutely increased in plasma of exercising humans irrespective of the insulin resistance condition or exercise mode. Treatment of mice with TMSB4X did not ameliorate the metabolic disruptions associated with diet induced-obesity, nor did it enhance muscle regeneration <i>in vivo</i>. However, TMSB4X increased osteoblast proliferation and neurite outgrowth, consistent with its WADA-classification as a prohibited growth factor. Therefore, we report TMSB4X as a human exerkine with a potential role in cellular crosstalk.<br>The data contain:<b>TableS2.</b> Cell proteome from EPS-stimulated C2C12 myotubes and their controls.