cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15139/s3/edlnii
title: Machine learning tools for informing transportation technology and policy [R10]

description: Transportation analysts are inundated with requests to apply popular machine learning modeling techniques to data sets to uncover never-before-seen relationships that could potentially revolutionize safety, congestion and mobility. To demonstrate some of the pitfalls in engaging in such analytics, which include subjectivity at several points in the modeling process, we developed Logistic Regression (LR) and Neural Network (NN) models for a driving injury/fatality and pedestrian fatality datasets. We then developed 5 different representations for each data set, one LR and one NN, with 4 different feature interpretations commonly used in the machine learning community. This study showed that when attempting to determine if road design variables significantly influenced driver injuries and fatalities, the answer is unclear, with many possible interpretations of the results. In the pedestrian model, results indicated that speed and age mattered, but any conclusions could not be drawn about road design variables. However, interpretations could be very different depending on the model and parameters selected.
DOI: 10.7270/q2xk8hm5
title: BindingDB Entry 1313: Histone demethylase inhibitors

description: Small molecule binding data for protein Lysine-specific demethylase 4C, Lysine-specific demethylase 5A, and Lysine-specific demethylase 5B, Uniprot P29375, Q9H3R0, and Q9UGL1
DOI: 10.3886/icpsr38412.v2
title: Survey of Consumer Attitudes and Behavior, December 2019
title: Version 2

description: The Survey of Consumer Attitudes and Behavior series (also known as the Surveys of Consumers) was undertaken to measure changes in consumer attitudes and expectations, to understand why such changes occur, and to evaluate how they relate to consumer decisions to save, borrow, or make discretionary purchases. The data regularly include the Index of Consumer Sentiment, the Index of Current Economic Conditions, and the Index of Consumer Expectations. Since the 1940s, these surveys have been produced quarterly through 1977 and monthly thereafter. The surveys conducted in 2019 focused on topics such as evaluations and expectations about personal finances, employment, price changes, and the national business situation. Opinions were collected regarding respondents' appraisals of present market conditions for purchasing houses, automobiles, computers, and other durables. Also explored in this survey, were respondents' vehicle financing, political affiliation, policy preferences, and opinion about the Trump administration. Demographic information includes ethnic origin, sex, age, marital status, and education.
description: The purpose of this survey series is to forecast changes in aggregate consumer behavior.
description: This survey is a rotating panel design. For each monthly sample, an independent cross-section sample of households is drawn. The respondents chosen in this drawing are then reinterviewed six months later. The result is a rotating panel design, and the total sample for any one survey is normally made up of 60 percent new respondents with 40 percent being interviewed for the second time.
description: The data are not weighted, however, this collection contains three weight variables; <strong>WT</strong> (Household weight (WT_HH renamed)), <strong>WT_HH</strong> (Household weight), and <strong>WT_AD</strong> (Adult weight) that must be used in any analysis. For more information on weights and sampling, please refer to the documentation and/or visit the Surveys of Consumers Website.
description: National sample of telephone numbers from cell (RDD) sampling frame.
description: Datasets: DS0: Study-Level Files DS1: Public-Use Data DS2: Restricted-Use Data
description: Persons aged 18 years or older living in households with telephones in the coterminous United States. Smallest Geographic Unit: FIPS code
description: computer-assisted telephone interview (CATI)Information on the Index of Consumer Sentiment, the Index of Current Economic Conditions, and the Index of Consumer Expectations and how they were created can be found in the P.I. Codebook.Additional information on the Surveys of Consumers can be found by visiting the Survey of Consumers website.
DOI: 10.3886/icpsr38412
title: Survey of Consumer Attitudes and Behavior, December 2019
title: Archival Version

description: The Survey of Consumer Attitudes and Behavior series (also known as the Surveys of Consumers) was undertaken to measure changes in consumer attitudes and expectations, to understand why such changes occur, and to evaluate how they relate to consumer decisions to save, borrow, or make discretionary purchases. The data regularly include the Index of Consumer Sentiment, the Index of Current Economic Conditions, and the Index of Consumer Expectations. Since the 1940s, these surveys have been produced quarterly through 1977 and monthly thereafter. The surveys conducted in 2019 focused on topics such as evaluations and expectations about personal finances, employment, price changes, and the national business situation. Opinions were collected regarding respondents' appraisals of present market conditions for purchasing houses, automobiles, computers, and other durables. Also explored in this survey, were respondents' vehicle financing, political affiliation, policy preferences, and opinion about the Trump administration. Demographic information includes ethnic origin, sex, age, marital status, and education.
description: The purpose of this survey series is to forecast changes in aggregate consumer behavior.
description: This survey is a rotating panel design. For each monthly sample, an independent cross-section sample of households is drawn. The respondents chosen in this drawing are then reinterviewed six months later. The result is a rotating panel design, and the total sample for any one survey is normally made up of 60 percent new respondents with 40 percent being interviewed for the second time.
description: The data are not weighted, however, this collection contains three weight variables; <strong>WT</strong> (Household weight (WT_HH renamed)), <strong>WT_HH</strong> (Household weight), and <strong>WT_AD</strong> (Adult weight) that must be used in any analysis. For more information on weights and sampling, please refer to the documentation and/or visit the Surveys of Consumers Website.
description: National sample of telephone numbers from cell (RDD) sampling frame.
description: Datasets: DS0: Study-Level Files DS1: Public-Use Data DS2: Restricted-Use Data
description: Persons aged 18 years or older living in households with telephones in the coterminous United States. Smallest Geographic Unit: FIPS code
description: computer-assisted telephone interview (CATI)Information on the Index of Consumer Sentiment, the Index of Current Economic Conditions, and the Index of Consumer Expectations and how they were created can be found in the P.I. Codebook.Additional information on the Surveys of Consumers can be found by visiting the Survey of Consumers website.
DOI: 10.6084/m9.figshare.24294955
title: Data for: <b>The Effect of Big Data Analytics Capability on Supply Chain Performance: The Role of Supply Chain Resilience.</b>

description: We investigate whether, when and how supply chain resilience connects big data analytics capabilities with supply chain performance.
DOI: 10.6084/m9.figshare.24294955.v1
title: Data for: <b>The Effect of Big Data Analytics Capability on Supply Chain Performance: The Role of Supply Chain Resilience.</b>

description: We investigate whether, when and how supply chain resilience connects big data analytics capabilities with supply chain performance.
DOI: 10.7270/q2z89fg4
title: BindingDB Entry 1392: Histone demethylase inhibitors

description: Small molecule binding data for protein Lysine-specific demethylase 4A, Lysine-specific demethylase 4C, Lysine-specific demethylase 5A, and Lysine-specific demethylase 5B, Uniprot O75164, P29375, Q9H3R0, and Q9UGL1
DOI: 10.5063/f1db809p
title: Observed Spring Phenology Responses in Experimental Environments (OSPREE)

description: This meta-analytic database of the published literature on spring phenology (e.g., budburst or leafout) of woody species in controlled environments (e.g., growth chambers) was designed to better inform models and related forecasts of spring phenology by: (1) allowing tests of the relative effects of chilling, forcing and photoperiod (daylength) on spring phenological responses and (2) giving an overview of the design of most experimental studies to date. There are four versions of this dataset:1) ospreebb_forknb.csv: a subset of the full database focused on budburst, used in Ettinger, A.K., Chamberlain, C.J., Morales-Castilla, I., Buonaiuto, D.M., Flynn, D.F.B., Savas, T., Samaha, J.A. and Wolkovich, E.M., 2020. Winter temperatures predominate in spring phenological responses to warming. Nature Climate Change, 10(12), pp.1137-1142.2) ospree_forknb_limcue.csv: the full database, used in E.M. Wolkovich,, C.J. Chamberlain, D.M. Buonaiuto, A.K. Ettinger, I. Morales-Castilla. 2022. Limiting cues: How spring warming, winter chilling and daylength shape climate change responses. New Phytologist.3) ospreebb2019update_forknb.csv: an update to the budburst database above, which includes additional datasets added in 2019 (see Methods for details).4) ospreebbphyloms_forknb.csv: a subset of the updated budburst database above, used in Morales-Castilla, I., et al. "Phylogenetic estimates of species-level phenology improve ecological forecasting"
DOI: 10.26093/cds/vizier.36660054
title: Brightest Cluster Galaxies from CFH TLS

description: VizieR online Data Catalogue associated with article published in journal Astronomy & Astrophysics with title 'Physical properties of more than one thousand brightest cluster galaxies detected in the Canada-France-Hawaii Telescope Legacy Survey.' (bibcode: 2022A&A...666A..54C)
DOI: 10.5063/f18p5xzf
title: Observed Spring Phenology Responses in Experimental Environments (OSPREE)

description: This meta-analytic database of the published literature on spring phenology (e.g., budburst or leafout) of woody species in controlled environments (e.g., growth chambers) was designed to better inform models and related forecasts of spring phenology by: (1) allowing tests of the relative effects of chilling, forcing and photoperiod (daylength) on spring phenological responses and (2) giving an overview of the design of most experimental studies to date. There are four versions of this dataset:1) ospreebb_forknb.csv: a subset of the full database focused on budburst, used in Ettinger, A.K., Chamberlain, C.J., Morales-Castilla, I., Buonaiuto, D.M., Flynn, D.F.B., Savas, T., Samaha, J.A. and Wolkovich, E.M., 2020. Winter temperatures predominate in spring phenological responses to warming. Nature Climate Change, 10(12), pp.1137-1142.2) ospree_forknb_limcue.csv: the full database, used in E.M. Wolkovich,, C.J. Chamberlain, D.M. Buonaiuto, A.K. Ettinger, I. Morales-Castilla. 2022. Limiting cues: How spring warming, winter chilling and daylength shape climate change responses. New Phytologist.3) ospreebb2019update_forknb.csv: an update to the budburst database above, which includes additional datasets added in 2019 (see Methods for details).4) ospreebbphyloms_forknb.csv: a subset of the updated budburst database above, used in Morales-Castilla, I., et al. "Phylogenetic estimates of species-level phenology improve ecological forecasting"
DOI: 10.34740/kaggle/dsv/6661245
title: The Chaotic Butterfly
DOI: 10.5281/zenodo.8432970
title: tauraco_hartlaubi_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.8432969
title: tauraco_hartlaubi_spades_01.fasta.gz

description: .
DOI: 10.6084/m9.figshare.24295045
title: The Slip Surface Mechanism of Delayed Failure of the Brumadinho Tailings Dam in 2019

description: The datasets include all used data in a paper, titled at 'The Slip Surface Mechanism of Delayed Failure of the Brumadinho Tailings Dam in 2019', to Nature Communications Earth & Environment, by Dr. Fangyuan Zhu, Dr. Wangcheng Zhang, and Prof. Alexander Puzrin1. Data generated in the study are mainly from analytical calculations and numerical modelling.2. 'Data used.xlsx' includes data for 9 figures of the paper.3. Numerical models used have been described in detail in the paper, including governing equations, discretisation and solving techniques.4. Both raw data (input data) and processed data (by equations or numerical modelling) are given and detailed.5. Numerical contour maps can be provided upon request.6. Readers need more information about the data and numerical modelling please contact Dr. Fangyuan Zhu via zhufangyuan623@gmail.com.<br>
DOI: 10.5281/zenodo.8427614
title: Dataset of in-situ and remote sensing measurements of precipitation in the inner Antarctic (Dome-C 75°S 123°E) for the years 2014-2021

description: The database contains original data collected between 2014 and 2021 at the Concordia Station (Dome-C, Antarctica, 75°S, 123°E) using three automatic instruments: 1) A flatbed scanner (ICECAMERA) provides information on the shape and size of precipitation on an hourly basis. 2) An automatic depolarization LIDAR provides the height, structure and phase of the cloud that originated the precipitation on a 5-minute basis. The height range for the LIDAR is between 20 and 7000 meters. 3) A microwave radiometer (HAMSTRAD) provides the local temperature at the altitude where precipitation is formed. The combination of three instruments made it possible to 'label' each precipitation grain with its size, shape parameters, temperature, altitude of formation, and surface meteorological data. Each yearly <strong>DATA_YYYY.rar</strong> data set is organized into daily directories, where all valid LIDAR false color plots, HAMSTRAD data, and ICECAMERA images are collected, along with processed numerical data for all the ice grains collected. HYSPLIT back trajectories with Dome-C as the final point are also included. The dataset's content is explained in the <strong>data legend.doc</strong> file <strong>MATLAB models.rar </strong>includes multiple MATLAB Canonical and SVM models that automatically classify the type of cloud-originating precipitation (at Dome C) based on the relative abundance of different ice grain shapes. Details and instructions for their use can be found in the <strong>Legend for MATLAB classifiers.docx</strong> document.
DOI: 10.5281/zenodo.8427613
title: Dataset of in-situ and remote sensing measurements of precipitation in the inner Antarctic (Dome-C 75°S 123°E) for the years 2014-2021

description: The database contains original data collected between 2014 and 2021 at the Concordia Station (Dome-C, Antarctica, 75°S, 123°E) using three automatic instruments: 1) A flatbed scanner (ICECAMERA) provides information on the shape and size of precipitation on an hourly basis. 2) An automatic depolarization LIDAR provides the height, structure and phase of the cloud that originated the precipitation on a 5-minute basis. The height range for the LIDAR is between 20 and 7000 meters. 3) A microwave radiometer (HAMSTRAD) provides the local temperature at the altitude where precipitation is formed. The combination of three instruments made it possible to 'label' each precipitation grain with its size, shape parameters, temperature, altitude of formation, and surface meteorological data. Each yearly <strong>DATA_YYYY.rar</strong> data set is organized into daily directories, where all valid LIDAR false color plots, HAMSTRAD data, and ICECAMERA images are collected, along with processed numerical data for all the ice grains collected. HYSPLIT back trajectories with Dome-C as the final point are also included. The dataset's content is explained in the <strong>data legend.doc</strong> file <strong>MATLAB models.rar </strong>includes multiple MATLAB Canonical and SVM models that automatically classify the type of cloud-originating precipitation (at Dome C) based on the relative abundance of different ice grain shapes. Details and instructions for their use can be found in the <strong>Legend for MATLAB classifiers.docx</strong> document.
DOI: 10.7270/q2bg2s2q
title: BindingDB Entry 9469: Histone demethylase inhibitors

description: Small molecule binding data for protein Lysine-specific demethylase 4C, Lysine-specific demethylase 5A, and Lysine-specific demethylase 5B, Uniprot P29375, Q9H3R0, and Q9UGL1
DOI: 10.5517/ccdc.csd.cc24m0zs
title: CCDC 1984495: Experimental Crystal Structure Determination

description: Related Article: Meng Qinghua|2020|CSD Communication|||
description: Related Article: Li-Ping Li,  Xue Jiang,  Lixiu Liu,  Xiao-Dong Hu|2021|Inorg.Nano-Metal Chem.|51|941|doi:10.1080/24701556.2020.1813763
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc24m10v
title: CCDC 1984496: Experimental Crystal Structure Determination

description: Related Article: Meng Qinghua|2020|CSD Communication|||
description: Related Article: Li-Ping Li,  Xue Jiang,  Lixiu Liu,  Xiao-Dong Hu|2021|Inorg.Nano-Metal Chem.|51|941|doi:10.1080/24701556.2020.1813763
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc24yct9
title: CCDC 1994441: Experimental Crystal Structure Determination

description: Related Article: haitao Yuan|2020|CSD Communication|||
description: Related Article: Yong-Hua Chen,  Yan Xu,  Hao Wu,  Xiao-Yi Li,  Ming-Jun Zhang|2021|Inorg.Nano-Metal Chem.|51|766|doi:10.1080/24701556.2020.1808992
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc25g5vp
title: CCDC 2009632: Experimental Crystal Structure Determination

description: Related Article: Bao-Li Chen,  Ai-Luan Chen,  Jian Chen,  Shao-Hai Chang|2021|Inorg.Nano-Metal Chem.|51|1023|doi:10.1080/24701556.2020.1813772
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5067/iir/calipso/cal_iir_l2_swath-standard-v4-51
title: CALIPSO Infrared Imaging Radiometer (IIR) Level 2 Swath, V4-51
DOI: 10.7270/q2930z3c
title: BindingDB Entry 11230: Histone demethylase inhibitors

description: Small molecule binding data for protein Lysine-specific demethylase 4C, Lysine-specific demethylase 5A, and Lysine-specific demethylase 5B, Uniprot P29375, Q9H3R0, and Q9UGL1
DOI: 10.6084/m9.figshare.24203847
title: Autophagy-mediated control of ribosome homeostasis in oncogene-induced senescence<b> - HILIC neg part</b>

description: See 10.6084/m9.figshare.24198234 for more info and Reverse phase pos mode dataSee 10.6084/m9.figshare.24203823 for reverse phase neg mode data
DOI: 10.6084/m9.figshare.24203847.v2
title: Autophagy-mediated control of ribosome homeostasis in oncogene-induced senescence<b> - HILIC neg part</b>

description: See 10.6084/m9.figshare.24198234 for more info and Reverse phase pos mode dataSee 10.6084/m9.figshare.24203823 for reverse phase neg mode data
DOI: 10.6084/m9.figshare.24203847.v1
title: <b>Loss of USP10 from the ribosome interactome triggers a</b><b>utophagy-</b><b>m</b><b>ediated </b><b>d</b><b>egradation </b><b>of ribosomes </b><b>during </b><b>o</b><b>ncogene-</b><b>i</b><b>nduced </b><b>s</b><b>enescence - HILIC neg part</b>

description: See 10.6084/m9.figshare.24198234 for more info and Reverse phase pos mode dataSee 10.6084/m9.figshare.24203823 for reverse phase neg mode data
DOI: 10.6084/m9.figshare.24203823
title: Autophagy-mediated control of ribosome homeostasis in oncogene-induced senescence- Revese phase neg partSee 10.6084/m9.figshare.24198234 for reverse phase pos (and more project info)

description: See 10.6084/m9.figshare.24198234 for reverse phase pos data (and more project info)See 10.6084/m9.figshare.24203847 for HILIC neg data
DOI: 10.6084/m9.figshare.24203823.v3
title: Autophagy-mediated control of ribosome homeostasis in oncogene-induced senescence- Revese phase neg partSee 10.6084/m9.figshare.24198234 for reverse phase pos (and more project info)

description: See 10.6084/m9.figshare.24198234 for reverse phase pos data (and more project info)See 10.6084/m9.figshare.24203847 for HILIC neg data
DOI: 10.6084/m9.figshare.24203823.v2
title: <b>Loss of USP10 from the ribosome interactome triggers a</b><b>utophagy-</b><b>m</b><b>ediated </b><b>d</b><b>egradation </b><b>of ribosomes </b><b>during </b><b>o</b><b>ncogene-</b><b>i</b><b>nduced </b><b>s</b><b>enescence</b> - Revese phase neg partSee 10.6084/m9.figshare.24198234 for reverse phase pos (and more project info)

description: See 10.6084/m9.figshare.24198234 for reverse phase pos data (and more project info)See 10.6084/m9.figshare.24203847 for HILIC neg data
DOI: 10.5281/zenodo.8432956
title: Drop Project Student Plugin for IntelliJ IDEA - Evaluation Survey

description: Contains a CSV file with students replies to the survey used to evaluate the Drop Project Student plugin for IntelliJ IDEA. To support international readers, the question names (CSV headers) were translated to English and/or match the numbering that appear in the paper. However, the student's textual replies to the open ended questions were left in their original language, Portuguese.
description: This is the anonymized version to support peer review
DOI: 10.5281/zenodo.8432968
title: Drop Project Student Plugin for IntelliJ IDEA - Evaluation Survey

description: Contains a CSV file with students replies to the survey used to evaluate the Drop Project Student plugin for IntelliJ IDEA. To support international readers, the question names (CSV headers) were translated to English and/or match the numbering that appear in the paper. However, the student's textual replies to the open ended questions were left in their original language, Portuguese. (This version replaces version 1.0.0 which had a mistake in the translation of a CSV header.)
description: This is the anonymized version to support peer review
DOI: 10.5281/zenodo.8432977
title: Drop Project Student Plugin for IntelliJ IDEA - Evaluation Survey

description: Contains a CSV file with students replies to the survey used to evaluate the Drop Project Student plugin for IntelliJ IDEA. To support international readers, the question names (CSV headers) were translated to English and/or match the numbering that appear in the paper. However, the student's textual replies to the open ended questions were left in their original language, Portuguese. (This version replaces version 1.0.0 which had a mistake in the translation of a CSV header.)
description: This is the anonymized version to support peer review