cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18742/j9tb-1734
title: Out of the Wings. Spanish and Spanish American Theatre in Translation and Performance
DOI: 10.6084/m9.figshare.21304728
title: Supplementary Material for: Association of cancer antigen 125 with long-term prognosis in light-chain cardiorenal amyloidosis

description: Background: Light-chain (AL) cardiorenal amyloidosis has been characterized as type 5 cardiorenal syndrome with fluid overload and poor prognosis. Cancer antigen 125 (CA125) has the potential for use in evaluating fluid load and prognosis for heart failure. However, less details for CA125 in AL cardiorenal amyloidosis have been reported. Methods: Sixty patients diagnosed with AL cardiorenal amyloidosis were enrolled in this retrospective study. Patients were divided into two groups according to the cutoff point of CA125 level (35 U/mL). Logistic regression was used to screen variables associated with CA125. Cox regression analyses was utilized to verify the prognostic potential of CA125. Results: The mean age was 61±8 years, and 68% of the participants were male. Compared to patients with normal CA125 levels (≤35 U/mL), patients with high levels of CA125 (&gt;35 U/mL) had a higher proportion of New York Heart Association class &gt;II, pericardial effusion, and edema, as well as a lower level of albumin and left ventricular longitudinal strain (LVLS). Logistic regression showed age, albumin, and LVLS to be independently associated with CA125. Seventeen (28%) patients died during the follow-up. Multivariate model including CA125, estimated glomerular filtration rate, E/e’ and left ventricular ejection fraction showed acceptable prognostic potential (C-index= 0.829, 95%CI 0.749 to 0.909). CA125 remained an independent prognostic factor (HR=1.018, 95%CI 1.005 to 1.031, P=0.008) after adjusting for the remaining three variates and provided a significant incremental effect to the risk determined from them (C-index 0.829 vs 0.784, P=0.037). Conclusions: Serum CA125 level was associated with long-term prognosis of AL cardiorenal amyloidosis.
DOI: 10.6084/m9.figshare.20375205.v2
title: Data and program codes for Maeda et al. 2022 PCP

description: Data set and scripts for the arabidopsis leaf single cell RNA-seq analysis in "Single-cell RNA sequencing of Arabidopsis leaf tissues identifies multiple specialized cell types" Planta and cell physiology https://doi.org/10.1093/pcp/pcac167
DOI: 10.5281/zenodo.6787552
title: Raw EK80 high-frequency echosounder data collected by autonomous sailbuoy in Lofoten/Vesterålen 2018-06-13/2018-06-17

description: For vehicle positions, other sensor observations, and additional metadata, please visit:<br> https://doi.org/10.5281/zenodo.6786919
DOI: 10.5281/zenodo.6787551
title: Raw EK80 high-frequency echosounder data collected by autonomous sailbuoy in Lofoten/Vesterålen 2018-06-13/2018-06-17

description: For vehicle positions, other sensor observations, and additional metadata, please visit:<br> https://doi.org/10.5281/zenodo.6786919
DOI: 10.3886/icpsr38588.v1
title: College and Beyond II (CBII) Course Content Data, [United States], 2000-2021
title: Version 1

description: The College and Beyond II (CBII) Course Content Study contains course-level information about the curricular content of courses taken by students in the CBII Administrative Data course file. This information includes the Classification of Instructional Programs (CIP) code associated with each subject, a College Course Map (CCM) code derived from the course's catalog title and subject code, and - at four postsecondary systems - the course description associated with each course. The Course Content Study can be linked with student-level course data using the ID_COURSE and COURSE_CATALOG_TITLE variables.
description: The data contain a set of data fields for the department the course is housed in, the course type and topic, and the course catalog description associated with the course. All fields are not available for all systems.
description: Datasets: DS0: Study-Level Files DS1: Dataset A DS2: Dataset B DS3: Dataset C DS4: Dataset D DS5: Dataset E DS6: Dataset F DS7: Dataset G
description: Course-level and curricular data from courses taken by students at participating institutions. Smallest Geographic Unit: Country
DOI: 10.3886/icpsr38588
title: College and Beyond II (CBII) Course Content Data, [United States], 2000-2021
title: Archival Version

description: The College and Beyond II (CBII) Course Content Study contains course-level information about the curricular content of courses taken by students in the CBII Administrative Data course file. This information includes the Classification of Instructional Programs (CIP) code associated with each subject, a College Course Map (CCM) code derived from the course's catalog title and subject code, and - at four postsecondary systems - the course description associated with each course. The Course Content Study can be linked with student-level course data using the ID_COURSE and COURSE_CATALOG_TITLE variables.
description: The data contain a set of data fields for the department the course is housed in, the course type and topic, and the course catalog description associated with the course. All fields are not available for all systems.
description: Datasets: DS0: Study-Level Files DS1: Dataset A DS2: Dataset B DS3: Dataset C DS4: Dataset D DS5: Dataset E DS6: Dataset F DS7: Dataset G
description: Course-level and curricular data from courses taken by students at participating institutions. Smallest Geographic Unit: Country
DOI: 10.5281/zenodo.7418634
title: Prefaces from 4 ELTEC subcorpora: original and English translations (Deep-L)

description: extracted prefaces from 4 ELTEC collections
DOI: 10.5281/zenodo.7418633
title: Prefaces from 4 ELTEC subcorpora: original and English translations (Deep-L)

description: extracted prefaces from 4 ELTEC collections
DOI: 10.5281/zenodo.6840425
title: Raw high-frequency EK80 echosounder datasets from autonomous sailbuoy campaign in Lofoten/Vesterålen 2018

description: In 2018, the autonomous surface vehicle sailbuoy Echo surveyed the coastal shelf surrounding the Lofoten and Vesterålen islands (aka. LoVe), Norway. The Echo was equipped with a EK80 high-frequency echosounder, and over the course of 131 field days, 8791 <code>.raw</code> EK80 echosounder files were captured, with a total size of ~750 GB. In 2022, Akvaplan-niva published the complete, raw data from Echo's LoVe 2018 campaign in their research archive on Zenodo. EK80 datasets from Sailbuoy Echo in LoVe 2018: 2018-03-08/2018-03-12 2018-03-13/2018-03-17 2018-03-18/2018-04-01 2018-04-02/2018-04-05 2018-04-06/2018-04-26 2018-04-27/2018-05-03 2018-05-04/2018-05-30 2018-05-31/2018-06-02 2018-06-03/2018-06-06 2018-06-07/2018-06-09 2018-06-10/2018-06-12 2018-06-13/2018-06-17 2018-06-18/2018-06-30 2018-07-01/2018-07-11 2018-07-12/2018-07-17 2018-07-18/2018-07-28 2018-07-29/2018-08-22 See also: Real-time oceanography captured by autonomous sailbuoy in Lofoten/Vesterålen 2018 The sailbuoy Echo 2018 LoVe campaign was part of the research project<br> Unmanned ocean vehicles, a flexible and cost-efficient offshore monitoring and data management approach
DOI: 10.5281/zenodo.6840424
title: Raw high-frequency EK80 echosounder datasets from autonomous sailbuoy campaign in Lofoten/Vesterålen 2018

description: In 2018, the autonomous surface vehicle sailbuoy Echo surveyed the coastal shelf surrounding the Lofoten and Vesterålen islands (aka. LoVe), Norway. The Echo was equipped with a EK80 high-frequency echosounder, and over the course of 131 field days, 8791 <code>.raw</code> EK80 echosounder files were captured, with a total size of ~750 GB. In 2022, Akvaplan-niva published the complete, raw data from Echo's LoVe 2018 campaign in their research archive on Zenodo. EK80 datasets from Sailbuoy Echo in LoVe 2018: 2018-03-08/2018-03-12 2018-03-13/2018-03-17 2018-03-18/2018-04-01 2018-04-02/2018-04-05 2018-04-06/2018-04-26 2018-04-27/2018-05-03 2018-05-04/2018-05-30 2018-05-31/2018-06-02 2018-06-03/2018-06-06 2018-06-07/2018-06-09 2018-06-10/2018-06-12 2018-06-13/2018-06-17 2018-06-18/2018-06-30 2018-07-01/2018-07-11 2018-07-12/2018-07-17 2018-07-18/2018-07-28 2018-07-29/2018-08-22 See also: Real-time oceanography captured by autonomous sailbuoy in Lofoten/Vesterålen 2018 The sailbuoy Echo 2018 LoVe campaign was part of the research project<br> Unmanned ocean vehicles, a flexible and cost-efficient offshore monitoring and data management approach
DOI: 10.6084/m9.figshare.21701687
title: YR_Chilean_Database_Rosas2022.sav

description: Chilean data, children from 5 to 12 years old. YellowRed, WISC and TRF
DOI: 10.5281/zenodo.5823340
title: Red king crab movements and seawater temperatures in Gamvikfjorden, Norway, 2016

description: Data coverage - Temporal: `2016-05-24Z/2016-11-01Z`<br> - Geographic: `[23.220918,70.774797,-61,23.295197,70.815582,-9]`<br> - Taxonomic: `Paralithodes camtschaticus (Tilesius, 1815)`
DOI: 10.5281/zenodo.5823339
title: Red king crab movements and seawater temperatures in Gamvikfjorden, Norway, 2016

description: Data coverage - Temporal: `2016-05-24Z/2016-11-01Z`<br> - Geographic: `[23.220918,70.774797,-61,23.295197,70.815582,-9]`<br> - Taxonomic: `Paralithodes camtschaticus (Tilesius, 1815)`
DOI: 10.6073/pasta/ec15280248e6b60641cb8b15ca3de2aa
title: Cascade project at North Temperate Lakes LTER - Daily Chlorophyll Data for Whole Lake Nutrient Additions 2013-2015

description: Daily chlorophyll for surface water samples in Paul, Peter, and Tuesday lakes from mid-May to early September for the years 2013, 2014 and 2015. Inorganic nitrogen and phosphorus were added to Peter and Tuesday lakes each year while Paul Lake was an unfertilized reference.
DOI: 10.6084/m9.figshare.20375205
title: Data and program codes for Maeda et al. 2022 PCP

description: Data set and scripts for the arabidopsis leaf single cell RNA-seq analysis in "Single-cell RNA sequencing of Arabidopsis leaf tissues identifies multiple specialized cell types" Planta and cell physiology https://doi.org/10.1093/pcp/pcac167
DOI: 10.6084/m9.figshare.20375205.v4
title: Data and program codes for Maeda et al. 2022 PCP

description: Data set and scripts for the arabidopsis leaf single cell RNA-seq analysis in "Single-cell RNA sequencing of Arabidopsis leaf tissues identifies multiple specialized cell types" Planta and cell physiology https://doi.org/10.1093/pcp/pcac167
DOI: 10.6084/m9.figshare.20375205.v3
title: Data and program codes for Maeda et al. 2022 PCP

description: Data set and scripts for the arabidopsis leaf single cell RNA-seq analysis in "Single-cell RNA sequencing of Arabidopsis leaf tissues identifies multiple specialized cell types" Planta and cell physiology https://doi.org/10.1093/pcp/pcac167
DOI: 10.6084/m9.figshare.15179813
title: Introducing digital technologies in the factory: determinants of blue-collar workers’ attitudes towards new robotic tools

description: In the context of blue-collar work, digital technologies and robotic systems are introduced at a rapid speed. However, employees are not always motivated to adopt such new technologies. Thus, it is essential to understand the drivers of employees’ attitudes towards new technology at work (e.g. their enthusiasm about new technology or their insecurity or resistance to change). The present study examines (actual and desired) work characteristics as a predictor of attitudes towards new technology in blue-collar work. Results from a correlational study among blue-collar workers (<i>N</i> = 127) showed that work characteristics among blue-collar workers could be divided into three dimensions, namely, work enrichment, work demands, and task identity. These correlated with attitudes towards a to-be-implemented new technology (here, robotic system): As expected, desired work demands correlated with greater technology enthusiasm, whereas a lack of actual work enrichment predicted technology-based job insecurity. Work characteristics were unrelated to user resistance to change. The findings suggest that how workers evaluate their current work, and how much they are (dis)satisfied with it, predicts attitudes towards new technology. This research adds to the knowledge about attitudes towards new technology in blue-collar work. Practical implications for the implementation of technologies in blue-collar work are discussed.
DOI: 10.6084/m9.figshare.15179813.v1
title: Introducing digital technologies in the factory: determinants of blue-collar workers’ attitudes towards new robotic tools

description: In the context of blue-collar work, digital technologies and robotic systems are introduced at a rapid speed. However, employees are not always motivated to adopt such new technologies. Thus, it is essential to understand the drivers of employees’ attitudes towards new technology at work (e.g. their enthusiasm about new technology or their insecurity or resistance to change). The present study examines (actual and desired) work characteristics as a predictor of attitudes towards new technology in blue-collar work. Results from a correlational study among blue-collar workers (<i>N</i> = 127) showed that work characteristics among blue-collar workers could be divided into three dimensions, namely, work enrichment, work demands, and task identity. These correlated with attitudes towards a to-be-implemented new technology (here, robotic system): As expected, desired work demands correlated with greater technology enthusiasm, whereas a lack of actual work enrichment predicted technology-based job insecurity. Work characteristics were unrelated to user resistance to change. The findings suggest that how workers evaluate their current work, and how much they are (dis)satisfied with it, predicts attitudes towards new technology. This research adds to the knowledge about attitudes towards new technology in blue-collar work. Practical implications for the implementation of technologies in blue-collar work are discussed.
DOI: 10.6084/m9.figshare.21701942.v1
title: Discrepancy between Mtb-specific IFN-γ and IgG responses in HIV-positive people with low CD4 counts

description: Raw dataset related to the titled paper showing unidentified study participants, and their multiple raw datasets which includes, HIV status, CD4 count, Viral load, QFT status, QFT results, multiple Mtb-specific antigens IgGs levels, and total IgG.
DOI: 10.25422/azu.data.21642272
title: Biosphere 2 Giant Clam Valvometry

description: The included datasets relate to the PLoS One manuscript regarding a multi-month valvometric study of giant clams in the Biosphere 2 ocean. "raw valvometry data final.csv" is a large CSV with over 2.9 million rows used to inform all following analyses in the study. "daily data merged.csv" includes daily-scale data used to conduct GAM analyses. "minute scale valvometry.csv" is a CSV with minute-scale data used to run wavelet analysis (both raw and day-detrended versions included in Figure 7 of the publication) "combined 15 minute data.csv" is data used to run wavelet coherence analyses "arduino code.txt" corresponds to the Arduino code used to collect the raw data <em>For inquiries regarding the contents of this dataset, please contact the Corresponding Author listed in the README.txt file. Administrative inquiries (e.g., removal requests, trouble downloading, etc.) can be directed to data-management@arizona.edu</em>
DOI: 10.25422/azu.data.21642272.v1
title: Biosphere 2 Giant Clam Valvometry

description: The included datasets relate to the PLoS One manuscript regarding a multi-month valvometric study of giant clams in the Biosphere 2 ocean. "raw valvometry data final.csv" is a large CSV with over 2.9 million rows used to inform all following analyses in the study. "daily data merged.csv" includes daily-scale data used to conduct GAM analyses. "minute scale valvometry.csv" is a CSV with minute-scale data used to run wavelet analysis (both raw and day-detrended versions included in Figure 7 of the publication) "combined 15 minute data.csv" is data used to run wavelet coherence analyses "arduino code.txt" corresponds to the Arduino code used to collect the raw data <em>For inquiries regarding the contents of this dataset, please contact the Corresponding Author listed in the README.txt file. Administrative inquiries (e.g., removal requests, trouble downloading, etc.) can be directed to data-management@arizona.edu</em>
DOI: 10.6084/m9.figshare.21701942
title: QFT/Mtb-specific IgG data

description: Raw dataset related to the titled paper showing unidentified study participants, and their multiple raw datasets which includes, HIV status, CD4 count, Viral load, QFT status, QFT results, multiple Mtb-specific antigens IgGs levels, and total IgG.
DOI: 10.6084/m9.figshare.21701942.v3
title: QFT/Mtb-specific IgG data

description: Raw dataset related to the titled paper showing unidentified study participants, and their multiple raw datasets which includes, HIV status, CD4 count, Viral load, QFT status, QFT results, multiple Mtb-specific antigens IgGs levels, and total IgG.
DOI: 10.6084/m9.figshare.21701942.v2
title: QFT/Mtb-specific data

description: Raw dataset related to the titled paper showing unidentified study participants, and their multiple raw datasets which includes, HIV status, CD4 count, Viral load, QFT status, QFT results, multiple Mtb-specific antigens IgGs levels, and total IgG.
DOI: 10.6084/m9.figshare.21648080
title: Table 5.3

description: <strong>Table 5.3: Information about sensory and cell-type specific microexons.</strong> For each microexon, Event ID, gene name and group (“sensory”, “olfactory” or “auditory”) are listed. For auditory and olfactory-specific microexons, gene function and disease connection are specified.
DOI: 10.6084/m9.figshare.21667748
title: Table 5.2

description: List of auditory and olfactory-specific microexons is provided in sheet one and two. For each microexon, Event ID, gene name and length are provided. The corresponding GO enrichment analysis, performed with the software ClueGO, is provided at sheet three and four. GO ID, GO Term, FDR-corrected P-value and log2 P-value are provided
DOI: 10.6084/m9.figshare.21667748.v1
title: Table 5.2

description: List of auditory and olfactory-specific microexons is provided in sheet one and two. For each microexon, Event ID, gene name and length are provided. The corresponding GO enrichment analysis, performed with the software ClueGO, is provided at sheet three and four. GO ID, GO Term, FDR-corrected P-value and log2 P-value are provided
DOI: 10.6084/m9.figshare.21667754
title: Table 5.5

description: <strong>Table 5.5: Source data for GSEA and Olfactory-Sperm GO analysis</strong> All GSEA enrichments were performed through the R package fgsea (v1.10.1), using as input all the features (genes) and their weights assigned by MOFA. The first sheet contains GSEA results for the 250 genes harboring microexons with the most extreme values in the MIC_AS layer, the second contains the GSEA results for all Factor 1 genes for the GE layer. Tha last sheet contains the GO enrichment analysis, performed with the software ClueGO, for the Sperm-Olfactory dataset. GO ID, GO description, corrected P-value, number of genes and associated genes
DOI: 10.6084/m9.figshare.21667754.v1
title: Table 5.5

description: <strong>Table 5.5: Source data for GSEA and Olfactory-Sperm GO analysis</strong> All GSEA enrichments were performed through the R package fgsea (v1.10.1), using as input all the features (genes) and their weights assigned by MOFA. The first sheet contains GSEA results for the 250 genes harboring microexons with the most extreme values in the MIC_AS layer, the second contains the GSEA results for all Factor 1 genes for the GE layer. Tha last sheet contains the GO enrichment analysis, performed with the software ClueGO, for the Sperm-Olfactory dataset. GO ID, GO description, corrected P-value, number of genes and associated genes
DOI: 10.5066/p9ocryyo
title: Compilation of Geospatial Data (GIS) for the Mineral Industries and Related Infrastructure of Select Countries in Southwest Asia

description: The U.S. Geological Survey (USGS) has compiled a geodatabase containing mineral-related geospatial data for 10 countries of interest in Southwest Asia (area of study): Afghanistan, Cambodia, Laos, India, Indonesia, Iran, Nepal, North Korea, Pakistan, and Thailand. The data can be used in analyses of the extractive fuel and nonfuel mineral industries and related economic and physical infrastructure integral for the successful operation of the mineral industries within the area of study as well as the movement of mineral products across domestic and global markets. This geodatabase reflects the USGS ongoing commitment to its mission of understanding the nature and distribution of global mineral commodity supply chains by updating and publishing the georeferenced locations of mineral commodity production and processing facilities, mineral exploration and development sites, and mineral commodity exporting ports for the countries in the area of study. The geodatabase contains data feature classes from USGS, foreign governmental, and open-source sources as follows: (1) mineral production and processing facilities, (2) mineral exploration and development sites, (3) mineral occurrence sites and deposits, (4) undiscovered mineral resource tracts for copper, phosphate, and potash, (5) coal occurrence areas, (6) electric power generating facilities, (7) electric power transmission lines, (8) liquefied natural gas terminals, (9) undiscovered, technically recoverable conventional and continuous hydrocarbon resources (by USGS geologic province), (10) cumulative production and recoverable conventional resources (by oil- and gas-producing nation), and (11) major mineral exporting maritime ports.
DOI: 10.5281/zenodo.6963453
title: Secondary Volcanic Atmospheres II: The Importance of Kinetics Results

description: Data used to produce plots for the paper "Growth and Evolution of Secondary Volcanic Atmospheres: II. The Importance of Kinetics", submitted to JGR: Planets.
description: This work was funded by the Embiricos Trust Scholarship from Jesus College, Cambridge, and a grant from the Institute of Astronomy, Cambridge. S.J. thanks the Science and Technology Facilities Council (STFC) for the PhD studentship (grant reference ST/V50659X/1). P.B.R thanks the Simons Foundation for support under SCOL awards 59963.
DOI: 10.5281/zenodo.6963454
title: Secondary Volcanic Atmospheres II: The Importance of Kinetics Results

description: Data used to produce plots for the paper "Growth and Evolution of Secondary Volcanic Atmospheres: II. The Importance of Kinetics", submitted to JGR: Planets.
description: This work was funded by the Embiricos Trust Scholarship from Jesus College, Cambridge, and a grant from the Institute of Astronomy, Cambridge. S.J. thanks the Science and Technology Facilities Council (STFC) for the PhD studentship (grant reference ST/V50659X/1). P.B.R thanks the Simons Foundation for support under SCOL awards 59963.
DOI: 10.5281/zenodo.7418762
title: Secondary Volcanic Atmospheres II: The Importance of Kinetics Results

description: Data used to produce plots for the paper "Growth and Evolution of Secondary Volcanic Atmospheres: II. The Importance of Kinetics", submitted to JGR: Planets.
description: This work was funded by the Embiricos Trust Scholarship from Jesus College, Cambridge, and a grant from the Institute of Astronomy, Cambridge. S.J. thanks the Science and Technology Facilities Council (STFC) for the PhD studentship (grant reference ST/V50659X/1). P.B.R thanks the Simons Foundation for support under SCOL awards 59963.
DOI: 10.14278/rodare.2007
title: Phenix EOL natural convection test: Serpent/DYN3D/ATHLET I/O data

description: The dataset contains DYN3D/ATHLET input data used for modeling Phenix End-Of-Life natural convection test. The dataset also contains Serpent inputs used to produce XS data for DYN3D
DOI: 10.14278/rodare.2006
title: Phenix EOL natural convection test: Serpent/DYN3D/ATHLET I/O data

description: The dataset contains DYN3D/ATHLET input data used for modeling Phenix End-Of-Life natural convection test. The dataset also contains Serpent inputs used to produce XS data for DYN3D