cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2f89cd
title: CCDC 2242303: Experimental Crystal Structure Determination

description: Related Article: Cheng-Wei Ju|2023|CSD Communication|||
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.cc2f89df
title: CCDC 2242304: Experimental Crystal Structure Determination

description: Related Article: Cheng-Wei Ju|2023|CSD Communication|||
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.cc2f89fg
title: CCDC 2242305: Experimental Crystal Structure Determination

description: Related Article: Cheng-Wei Ju|2023|CSD Communication|||
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.cc2fj69h
title: CCDC 2249896: Experimental Crystal Structure Determination

description: Related Article: Qianqian Liang, Yan Cai, Wenjun Jiang, Mengdi Pang, Liming Fan, Guoying Zhang|2023|Chem.Commun.|60|1638|doi:10.1039/D3CC05531K
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.cc2fj6ck
title: CCDC 2249898: Experimental Crystal Structure Determination

description: Related Article: Qianqian Liang, Yan Cai, Wenjun Jiang, Mengdi Pang, Liming Fan, Guoying Zhang|2023|Chem.Commun.|60|1638|doi:10.1039/D3CC05531K
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.cc2fj6fm
title: CCDC 2249900: Experimental Crystal Structure Determination

description: Related Article: Qianqian Liang, Yan Cai, Wenjun Jiang, Mengdi Pang, Liming Fan, Guoying Zhang|2023|Chem.Commun.|60|1638|doi:10.1039/D3CC05531K
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.cc2fj6gn
title: CCDC 2249901: Experimental Crystal Structure Determination

description: Related Article: Qianqian Liang, Yan Cai, Wenjun Jiang, Mengdi Pang, Liming Fan, Guoying Zhang|2023|Chem.Commun.|60|1638|doi:10.1039/D3CC05531K
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.cc2fj6hp
title: CCDC 2249902: Experimental Crystal Structure Determination

description: Related Article: Qianqian Liang, Yan Cai, Wenjun Jiang, Mengdi Pang, Liming Fan, Guoying Zhang|2023|Chem.Commun.|60|1638|doi:10.1039/D3CC05531K
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.cc2frxdj
title: CCDC 2257308: Experimental Crystal Structure Determination

description: Related Article: Li-Zhi Fu, Piao He, Jia-Wei Wang, Fan Ma, Chao Liu, Guo Chen, Xiao-Yi Yi|2024|Chem.Commun.|60|1595|doi:10.1039/D3CC05273G
description: Related Article: Fu Lizhi|2023|CSD Communication|||
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.cc2frxfk
title: CCDC 2257309: Experimental Crystal Structure Determination

description: Related Article: Li-Zhi Fu, Piao He, Jia-Wei Wang, Fan Ma, Chao Liu, Guo Chen, Xiao-Yi Yi|2024|Chem.Commun.|60|1595|doi:10.1039/D3CC05273G
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.cc2dlhs9
title: CCDC 2222321: Experimental Crystal Structure Determination

description: Related Article: Nilanjan Seal, Arun Karmakar, Subrata Kundu, Subhadip Neogi|2024|J.Mater.Chem.A|12|3501|doi:10.1039/D3TA06790D
description: Related Article: Nilanjan Seal, Subhadip Neogi|2023|Chem.Commun.|59|4954|doi:10.1039/D3CC00657C
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: 10.6084/m9.figshare.17757185
title: craigRecQ_rawData

description: raw ion current traces, with ion current amplitudes, alignments and meta data on experimental condition.
DOI: 10.6084/m9.figshare.17757185.v2
title: craigRecQ_rawData

description: raw ion current traces, with ion current amplitudes, alignments and meta data on experimental condition.
DOI: 10.6084/m9.figshare.17757185.v1
title: craigRecQ_rawData

description: raw ion current traces, with ion current amplitudes, alignments and meta data on experimental condition.
DOI: 10.48577/jpl.xfbtxk
title: Sedimentology and Stratigraphy of the Shenandoah Formation, Western Fan, Jezero Crater, Mars

description: Sedimentary fans are key targets of exploration on Mars because they record the history of surface aqueous activity and habitability. The sedimentary fan extending from the Neretva Vallis breach of Jezero crater’s western rim is one of the Mars 2020 Perseverance rover’s main exploration targets. Perseverance spent ~250 sols exploring and collecting seven rock cores from the lower ~25 m of sedimentary rock exposed within the fan’s eastern scarp, a sequence informally named the “Shenandoah formation.” This study describes the sedimentology and stratigraphy of the Shenandoah formation at two areas, “Cape Nukshak” and “Hawksbill Gap,” including a characterization, interpretation, and depositional framework for the facies that comprise it. The five main facies of the Shenandoah formation include: laminated mudstone, laminated sandstone, low-angle cross stratified sandstone, thin-bedded granule sandstone, and thick-bedded granule-pebble sandstone and conglomerate. These facies are organized into three facies associations (FA): FA1, comprised of laminated and soft sediment-deformed sandstone interbedded with broad, unconfined coarser-grained granule and pebbly sandstone intervals; FA2, comprised predominantly of laterally extensive, soft sediment-deformed laminated, sulfate-bearing mudstone with lenses of low-angle cross-stratified and scoured sandstone; and FA3, comprised of dipping planar, thin-bedded sand-gravel couplets. The depositional model favored for the Shenandoah formation involves the transition from a sand-dominated distal alluvial fan setting (FA1) to a stable, widespread saline lake (FA2), followed by the progradation of a river delta system (FA3) into the lake basin. This sequence records the initiation of a relatively long-lived, habitable lacustrine and deltaic environment within Jezero crater.
DOI: 10.5281/zenodo.10618105
title: Catalogues of Semantic Artefacts - Maturity Dimensions and Features

description: This dataset contains, in three different formats (XSLX, CSV, and PDF), a description of twelve maturity dimensions identified from the literature that can be used to measure the maturity of the semantic artefacts catalogues (SAC). For each dimension, a number from 2 to 6 features has been added, for a total of 43 features overall.
DOI: 10.5281/zenodo.10625913
title: Catalogues of Semantic Artefacts - Maturity Dimensions and Features

description: This dataset contains, in three different formats (XSLX, CSV, and PDF), a description of twelve maturity dimensions identified from the literature that can be used to measure the maturity of the semantic artefacts catalogues (SAC). For each dimension, a number from 2 to 6 features has been added, for a total of 43 features overall.
DOI: 10.5281/zenodo.10625936
title: Catalogues of Semantic Artefacts - Maturity Dimensions and Features

description: This dataset contains, in three different formats (XSLX, CSV, and PDF), a description of twelve maturity dimensions identified from the literature that can be used to measure the maturity of the semantic artefacts catalogues (SAC). For each dimension, a number from 2 to 6 features has been added, for a total of 43 features overall.
DOI: 10.5281/zenodo.7916541
title: Catalogues of Semantic Artefacts - Maturity Dimensions and Sub-Criteria

description: This dataset contains, in three different formats (XSLX, CSV, and PDF), a description of twelve maturity dimensions identified from the literature that can be used to measure the maturity of the semantic artefacts catalogues (SAC). For each dimension, a number from 3 to 7 features has been added, for a total of 63 features overall.
DOI: 10.5281/zenodo.8304959
title: Catalogues of Semantic Artefacts - Maturity Dimensions and Features

description: This dataset contains, in three different formats (XSLX, CSV, and PDF), a description of twelve maturity dimensions identified from the literature that can be used to measure the maturity of the semantic artefacts catalogues (SAC). For each dimension, a number from 2 to 6 features has been added, for a total of 43 features overall.
DOI: 10.5281/zenodo.7916540
title: Catalogues of Semantic Artefacts - Maturity Dimensions and Features

description: This dataset contains, in three different formats (XSLX, CSV, and PDF), a description of twelve maturity dimensions identified from the literature that can be used to measure the maturity of the semantic artefacts catalogues (SAC). For each dimension, a number from 2 to 6 features has been added, for a total of 43 features overall.
DOI: 10.5281/zenodo.7916686
title: Catalogues of Semantic Artefacts - Maturity Dimensions and Features

description: This dataset contains, in three different formats (XSLX, CSV, and PDF), a description of twelve maturity dimensions identified from the literature that can be used to measure the maturity of the semantic artefacts catalogues (SAC). For each dimension, a number from 2 to 6 features has been added, for a total of 43 features overall.
DOI: 10.5281/zenodo.10625949
title: Steven's Test Dataset

description: A dataset
DOI: 10.5281/zenodo.10625950
title: Steven's Test Dataset

description: A dataset
DOI: 10.6084/m9.figshare.25152692.v1
title: S3 Table. Source data for main figure plots and graphs.xlsx

description: Source data for main figure plots and graphs
DOI: 10.5066/p9fxcj9b
title: Airborne Thermal Infrared and High-resolution True-color Imagery and Longitudinal Profiles of Stream Temperatures, Upper Donner und Blitzen River Basin, Oregon, August 2020

description: This dataset includes georeferenced, high-resolution, airborne thermal infrared (TIR) and high-resolution true-color imagery, a polyline shapefile of the channel centerline, a polyline shapefile with TIR sample points for longitudinal stream temperature profiles, and a tabular file with longitudinal stream temperature profiles for the Donner und Blitzen River and its tributaries, Oregon. The aerial TIR surveys were conducted with a helicopter by NV5 Geospatial and are published as 17 raster mosaics in GeoTiff format with a resolution of 0.3 meters (m). The TIR mosaics contain corrected surface temperatures in degrees Celsius (C) (multiplied by 10 to create an unsigned integer pixel type). The longitudinal stream temperature profiles have temperatures in degrees C. The TIR dataset encompasses 159 kilometers of the Donner und Blitzen River and its tributaries that extends from near Frenchglen, Oregon into the basin headwaters on Steens Mountain. The TIR surveys were collected during the afternoons (13:00-17:00) of August 13, 14, and 15, 2020. The TIR surveys were calibrated using continuous temperature loggers deployed at 29 in-stream locations distributed longitudinally throughout the survey area. The true-color imagery is published as a single raster mosaic of the entire surveyed upper Donner und Blitzen River basin stream network with a resolution of 0.1 m. Channel centerlines were manually digitized within a geographic information system. Stream temperatures for longitudinal profiles were sampled using both automated and manual methods along the channel centerline from the TIR imagery. The stream temperatures were plotted versus channel distances upstream along the Donner und Blitzen River, starting from the bridge over the river near Page Springs Campground to create longitudinal stream temperature profiles, which may be used to interpret groundwater discharge patterns and to identify potential cold-water refuges.
DOI: 10.3886/0rj8-1022
title: Lesotho Compact - Urban & Peri-Urban Water, and Metolong Dam: Design Report (Summative Evaluation)
DOI: 10.3886/272a-a519
title: Lesotho Compact - Urban & Peri-Urban Water, and Metolong Dam: Design Report (Summative Evaluation)
DOI: 10.3886/pv7y-1r41
title: Lesotho Compact - Urban & Peri-Urban Water, and Metolong Dam: Design Report (Process Evaluation)
DOI: 10.3886/3pte-0408
title: Lesotho Compact - Urban & Peri-Urban Water, and Metolong Dam: Design Report (Process Evaluation)
DOI: 10.3886/ggj0-bz20
title: Lesotho Compact - Health Sector: Design Report
DOI: 10.6084/m9.figshare.24904641
title: Positive training datasets for the SSBlazer model

description: SSBlazer is a pioneering tool that utilizes deep learning to predict Single Strand Break (SSB) sites based on genome-wide single-strand break sequencing data with single-nucleotide resolution.<br>Xu S, Wei J, Li Y. Genome-wide nucleotide-resolution model of single-strand break site reveals species evolutionary hierarchy[J]. arXiv preprint arXiv:2208.09813, 2022.
DOI: 10.6084/m9.figshare.24904641.v4
title: Positive training datasets for the SSBlazer model

description: SSBlazer is a pioneering tool that utilizes deep learning to predict Single Strand Break (SSB) sites based on genome-wide single-strand break sequencing data with single-nucleotide resolution.<br>Xu S, Wei J, Li Y. Genome-wide nucleotide-resolution model of single-strand break site reveals species evolutionary hierarchy[J]. arXiv preprint arXiv:2208.09813, 2022.
DOI: 10.6084/m9.figshare.24904641.v3
title: Positive training datasets for the SSBlazer model

description: SSBlazer is a pioneering tool that utilizes deep learning to predict Single Strand Break (SSB) sites based on genome-wide single-strand break sequencing data with single-nucleotide resolution.<br>Xu S, Wei J, Li Y. Genome-wide nucleotide-resolution model of single-strand break site reveals species evolutionary hierarchy[J]. arXiv preprint arXiv:2208.09813, 2022.
DOI: 10.3886/icpsr39009.v1
title: Survey of Consumer Attitudes and Behavior, December 2020
title: Version 1

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 2020 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' types of savings and financial investments, loan use, family income, and retirement planning. 
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; <b>WT_AD</b> (Adult weight), <b>WT_HH</b> (Household weight), <b>WT</b> (Household weight (WT_HH renamed)) and that must be used in any analysis. For more information on weights and sampling, please refer to the documentation and/or visit the Survey 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/icpsr39009
title: Survey of Consumer Attitudes and Behavior, December 2020
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 2020 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' types of savings and financial investments, loan use, family income, and retirement planning. 
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; <b>WT_AD</b> (Adult weight), <b>WT_HH</b> (Household weight), <b>WT</b> (Household weight (WT_HH renamed)) and that must be used in any analysis. For more information on weights and sampling, please refer to the documentation and/or visit the Survey 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/bgc9-3m76
title: Mongolia Compact - Property Rights - Peri-Urban Rangeland Leasing: Baseline Analysis Report
DOI: 10.3886/yk5k-dn85
title: Mongolia Compact - Property Rights - Peri-Urban Rangeland Leasing: Baseline Analysis Report
DOI: 10.25612/837.ndrar9a5z18m
title: American Community Survey (ACS) - Five-Year Estimates - Frequently Used Variables

description: Selection of variables extracted or derived from the American Community Survey (ACS) 5-year estimates.
DOI: 10.3886/0cfa-pv80
title: Benin Compact - Access to Land - Rural: Design Report
DOI: 10.57932/8c782a49-c992-47af-89bb-2684093e2c65
title: Timeseries of the snow surface temperature acquired at the Col du Lautaret (French Alps) during spring 2023 with an uncooled thermal infrared camera

description: This dataset contains maps of the surface temperature of snow acquired at the Col du Lautaret (French Alps) every 2 minutes during spring 2023 with an uncooled thermal infrared camera (TIR), timeseries of RGB images of the scene acquired every 10 minutes during operation of the TIR camera, timeseries of the surface temperature, incoming longwave radiation, air temperature, air humidity and wind speed acquired every 30 seconds at two distinct points in the camera’s field of view, and the TIR camera’s internal temperature.