cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2dkd0d
title: CCDC 2221243: Experimental Crystal Structure Determination

description: Related Article: Meng-Yang Chang, Chun-Yi Lin|2023|Org.Biomol.Chem.|21|2405|doi:10.1039/D3OB00149K
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.cc2dkd1f
title: CCDC 2221244: Experimental Crystal Structure Determination

description: Related Article: Meng-Yang Chang, Chun-Yi Lin|2023|Org.Biomol.Chem.|21|2405|doi:10.1039/D3OB00149K
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.cc2dkd2g
title: CCDC 2221245: Experimental Crystal Structure Determination

description: Related Article: Meng-Yang Chang, Chun-Yi Lin|2023|Org.Biomol.Chem.|21|2405|doi:10.1039/D3OB00149K
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.cc2dkd3h
title: CCDC 2221246: Experimental Crystal Structure Determination

description: Related Article: Meng-Yang Chang, Chun-Yi Lin|2023|Org.Biomol.Chem.|21|2405|doi:10.1039/D3OB00149K
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.cc2dkd4j
title: CCDC 2221247: Experimental Crystal Structure Determination

description: Related Article: Meng-Yang Chang, Chun-Yi Lin|2023|Org.Biomol.Chem.|21|2405|doi:10.1039/D3OB00149K
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.cc2dkd5k
title: CCDC 2221248: Experimental Crystal Structure Determination

description: Related Article: Meng-Yang Chang, Chun-Yi Lin|2023|Org.Biomol.Chem.|21|2405|doi:10.1039/D3OB00149K
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.cc2dmcdt
title: CCDC 2223146: Experimental Crystal Structure Determination

description: Related Article: Marta Gil-Ordóñez, Laura Martín, Alicia Maestro, José M. Andrés|2023|Org.Biomol.Chem.|21|2361|doi:10.1039/D2OB02290G
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: 10.5281/zenodo.7737908
title: Data for Chongdar et al (2023) Chem Sci

description: All data associated with Figures 2-7 of the main text of Chongdar et al. (2023) Chem Sci https://doi.org/10.1039/D2SC06432D
DOI: 10.5281/zenodo.7737907
title: Data for Chongdar et al (2023) Chem Sci

description: All data associated with Figures 2-7 of the main text of Chongdar et al. (2023) Chem Sci https://doi.org/10.1039/D2SC06432D
DOI: 10.5281/zenodo.7737918
title: Calibrating angular momentum transport in intermediate-mass stars from gravity-mode asteroseismology

description: Best-matching MESA stellar evolution models and GYRE stellar pulsation models of the seven stars presented in Mombarg (2023). 'MESA_inlist_template_for_GYRE' is the inlist for MESA to compute the models used for the asteroseismic modelling, 'GYRE_inlist_template.in' is the inlist for GYRE to compute the eigenmodes. 'MESA_inlist_template_AM_transport' is the inlist for MESA to compute rotating models with angular momentum transport that were used to predict the near-core and surface rotation frequencies.
DOI: 10.5281/zenodo.7737917
title: Calibrating angular momentum transport in intermediate-mass stars from gravity-mode asteroseismology

description: Best-matching MESA stellar evolution models and GYRE stellar pulsation models of the seven stars presented in Mombarg (2023). 'MESA_inlist_template_for_GYRE' is the inlist for MESA to compute the models used for the asteroseismic modelling, 'GYRE_inlist_template.in' is the inlist for GYRE to compute the eigenmodes. 'MESA_inlist_template_AM_transport' is the inlist for MESA to compute rotating models with angular momentum transport that were used to predict the near-core and surface rotation frequencies.
DOI: 10.6084/m9.figshare.22258942
title: esrafili beef cattle Simulation

description: beef cattle simulation blupf90
DOI: 10.6084/m9.figshare.22258942.v2
title: esrafili beef cattle Simulation

description: beef cattle simulation blupf90
DOI: 10.6084/m9.figshare.22258942.v1
title: esrafilibeef cattle production animal science

description: beef cattle simulation genetics snpsbeef cattle production simulation qtls snps.
DOI: 10.5281/zenodo.7519820
title: Quaternary magnetic stratigraphy of deep-sea sediments in the western North Pacific: Influences of paleomagnetic recording efficiency and lock-in delay

description: This archive file contains all data produced in the paper "Quaternary magnetic stratigraphy of deep-sea sediments in the western North Pacific: Influences of paleomagnetic recording efficiency and lock-in delay" submitted to Journal of Geophysical Research: Solid Earth.
DOI: 10.5281/zenodo.7519821
title: Quaternary magnetic stratigraphy of deep-sea sediments in the western North Pacific: Influences of paleomagnetic recording efficiency and lock-in delay

description: This archive file contains all data produced in the paper "Quaternary magnetic stratigraphy of deep-sea sediments in the western North Pacific: Influences of paleomagnetic recording efficiency and lock-in delay" submitted to Journal of Geophysical Research: Solid Earth.
DOI: 10.5281/zenodo.7737723
title: Quaternary magnetic stratigraphy of deep-sea sediments in the western North Pacific: Influences of paleomagnetic recording efficiency and lock-in delay

description: This archive file contains all data produced in the paper "Quaternary magnetic stratigraphy of deep-sea sediments in the western North Pacific: Influences of paleomagnetic recording efficiency and lock-in delay" submitted to Journal of Geophysical Research: Solid Earth.
DOI: 10.5281/zenodo.7737921
title: Quaternary magnetic stratigraphy of deep-sea sediments in the western North Pacific: Influences of paleomagnetic recording efficiency and lock-in delay

description: This archive file contains all data produced in the paper "Quaternary magnetic stratigraphy of deep-sea sediments in the western North Pacific: Influences of paleomagnetic recording efficiency and lock-in delay" submitted to Journal of Geophysical Research: Solid Earth.
DOI: 10.6073/pasta/e986fa6f078a29e1bcb69740b7e47a56
title: Social-Ecological Dynamics of Recreational Fishery Landscapes: Recreational angler catch and satisfaction in the Midwest

description: The goal of this study is to understand the factors and information sources used by anglers in rural and urban counties to decide where to fish and the factors that determine angler satisfaction with their fishing trip, including the use of fishing technologies. Additionally Contains Data from Fishscapes Project: Data from ecosystem ecology research by Jones, Solomon, and collaborators on the ecology and biogeochemistry of lakes and lake organisms in the Upper Midwest, USA DOI: https://doi.org/10.25390/caryinstitute.7438598.v6
DOI: 10.5281/zenodo.7709474
title: High-Resolution Water Surface Slopes from Multi-Mission Satellite Altimetry

description: <strong>1. Summary</strong>: This dataset contains water surface slopes (WSS) every kilometer along 11 Polish rivers derived from cross-calibrated multi-mission satellite altimetry (<em>Schwatke et al. 2023a</em> (in review). ). The approach to derive WSS is based on a weighted least-squares approach, which is described in detail in <em>Schwatke et al. 2023b</em> (in review). <strong>2. Data Formats</strong>: This dataset is provided in netCDF and shapefile formats. Each netCDF file contains the data of a single river and parameters such as river chainage, WSS, WSS error, location, and nearest centerline information from the SWORD database (v1.1, <em>Altenau et al., 2021</em>). The shapefile consists of five files (.cpg, .dbf, .prj, .shp, .shx) containing the data of the 11 Polish rivers. The attributes are identical to the netCDF, but the river name has been added. <strong>3. Attribute Description</strong>: The attributes of netCDFs and shapefiles are described in the following list: <strong>river_chainage</strong>: The <em>river chainage</em> describes the distance from the river mouth to the location of each bin along the river (units: km) <strong>wss</strong>: Water surface slopes (WSS) at each bin along the river. WSS are set to NaN/NULL for unprocessed lakes/reservoirs or short river segments (units: mm/km). <strong>wss_error</strong>: Errors of WSS at each bin along the river. WSS errors are set to NaN/NULL for unprocessed lakes/reservoirs or short river segments (units: mm/km). <strong>longitude</strong>: Longitude of the 1 km bins along the river (units: degree). <strong>latitude</strong>: Latitude of the 1 km bins along the river (units: degree). <strong>centerline_id</strong>: Nearest <em>centerline id </em>extracted from the SWORD database (v1.1, <em>Altenau et al., 2021</em>). <strong>node_id</strong>: <em>Node id</em> from the SWORD database (v1.1, <em>Altenau et al., 2021</em>) for the corresponding <em>centerline id</em>. <strong>reach_id</strong>: <em>Reach id</em> from the SWORD database (v1.1,<em> Altenau et al., 2021</em>) for the corresponding <em>centerline id</em>. <strong>river_name</strong>: The name of the river is only available in the Shapefile. <strong>4. References</strong>: <em>Schwatke C., Dettmering D., Passaro M., Hart-Davis M., Scherer D., Müller F. L., Bosch W., Seitz F.: </em><strong>OpenADB: DGFI-TUM`s Open Altimeter Database</strong>. Geoscience Data Journal, 2023a (in Review) <em>Schwatke C., Halicki M., Scherer D</em>.: <strong>Generation of high-resolution water surface slopes from multi-mission satellite altimetry</strong>. Water Resources Research, 2023b (in Review) <em>Altenau E.H., Pavelsky T.M., Durand M.T., Yang X., Frasson R.P.d.M., Bendezu L.</em>: <strong>SWOT River Database (SWORD) (Version v1)</strong> [Data set]. Zenodo. https://doi.org/10.5281/zenodo.4917236, 2021
DOI: 10.5281/zenodo.7709473
title: High-Resolution Water Surface Slopes from Multi-Mission Satellite Altimetry

description: <strong>1. Summary</strong>: This dataset contains water surface slopes (WSS) every kilometer along 11 Polish rivers derived from cross-calibrated multi-mission satellite altimetry (<em>Schwatke et al. 2023a</em> (in review). ). The approach to derive WSS is based on a weighted least-squares approach, which is described in detail in <em>Schwatke et al. 2023b</em> (in review). <strong>2. Data Formats</strong>: This dataset is provided in netCDF and shapefile formats. Each netCDF file contains the data of a single river and parameters such as river chainage, WSS, WSS error, location, and nearest centerline information from the SWORD database (v1.1, <em>Altenau et al., 2021</em>). The shapefile consists of five files (.cpg, .dbf, .prj, .shp, .shx) containing the data of the 11 Polish rivers. The attributes are identical to the netCDF, but the river name has been added. <strong>3. Attribute Description</strong>: The attributes of netCDFs and shapefiles are described in the following list: <strong>river_chainage</strong>: The <em>river chainage</em> describes the distance from the river mouth to the location of each bin along the river (units: km) <strong>wss</strong>: Water surface slopes (WSS) at each bin along the river. WSS are set to NaN/NULL for unprocessed lakes/reservoirs or short river segments (units: mm/km). <strong>wss_error</strong>: Errors of WSS at each bin along the river. WSS errors are set to NaN/NULL for unprocessed lakes/reservoirs or short river segments (units: mm/km). <strong>longitude</strong>: Longitude of the 1 km bins along the river (units: degree). <strong>latitude</strong>: Latitude of the 1 km bins along the river (units: degree). <strong>centerline_id</strong>: Nearest <em>centerline id </em>extracted from the SWORD database (v1.1, <em>Altenau et al., 2021</em>). <strong>node_id</strong>: <em>Node id</em> from the SWORD database (v1.1, <em>Altenau et al., 2021</em>) for the corresponding <em>centerline id</em>. <strong>reach_id</strong>: <em>Reach id</em> from the SWORD database (v1.1,<em> Altenau et al., 2021</em>) for the corresponding <em>centerline id</em>. <strong>river_name</strong>: The name of the river is only available in the Shapefile. <strong>4. References</strong>: <em>Schwatke C., Dettmering D., Passaro M., Hart-Davis M., Scherer D., Müller F. L., Bosch W., Seitz F.: </em><strong>OpenADB: DGFI-TUM`s Open Altimeter Database</strong>. Geoscience Data Journal, 2023a (in Review) <em>Schwatke C., Halicki M., Scherer D</em>.: <strong>Generation of high-resolution water surface slopes from multi-mission satellite altimetry</strong>. Water Resources Research, 2023b (in Review) <em>Altenau E.H., Pavelsky T.M., Durand M.T., Yang X., Frasson R.P.d.M., Bendezu L.</em>: <strong>SWOT River Database (SWORD) (Version v1)</strong> [Data set]. Zenodo. https://doi.org/10.5281/zenodo.4917236, 2021
DOI: 10.6084/m9.figshare.22215322.v1
title: CONSOLIDADO_ECA_COMPLETO_2022

description: Data on air quality and meteorological variables provided by the SDA measurements of the Fontibón and Móvil Fontibón air quality stations placed in the same Fontibón County of Bogotá, Colombia
DOI: 10.6084/m9.figshare.22215310.v1
title: Consolidado_Sensor.csv

description: Data from measurements of Air quality and meteorological variables acquired by the Davis AirLink ® sensor placed in the Fontibon County of Bogotá, Colombia.
DOI: 10.6084/m9.figshare.22215169.v1
title: CONSOLIDADO_MANUAL_PM10.csv

description: PM10 air quality data was collected directly in Fontibon County for 27 days using a Tisch ® TE-6070V Hi Vol equipment.
DOI: 10.6084/m9.figshare.22215322.v2
title: Consolided_ECA_Complete_2022

description: Data on air quality and meteorological variables provided by the SDA measurements of the Fontibón and Móvil Fontibón air quality stations placed in the same Fontibón County of Bogotá, Colombia
DOI: 10.34740/kaggle/dsv/5172363
title: Mahanagar Yatayat Dataset
DOI: 10.6084/m9.figshare.20909083
title: Turnover of bird species along the Nullarbor barrier: insights from taxonomic, phylogenetic and functional beta diversity

description: 1. Bird occurrence data retrieved from the BirdLife Australia Atlas (https://birdata.birdlife.org.au/). BirdLife Australia’s Atlas data are collected by skilled birdwatchers at sites they choose, with exact coordinates recorded for each survey. Bird surveys are carried out during the austral breeding season using the “2-ha, 20 min” method. This census method involves searching for birds in a two-hectare plot for 20 minutes. During this period, the volunteer records the geographical reference at the centre of their plot and all birds seen or heard in their survey area, including those flying overhead. Our dataset included sampling plots distributed on both sides of the Nullarbor Plain. This dataset was employed to conduct the diversification analyses. 2. Matrices of beta diversities (phylogenetic and functional), environmental dissimilarities and geographic distances used as input in the analyses.
DOI: 10.6084/m9.figshare.20909083.v3
title: Turnover of bird species along the Nullarbor barrier: insights from taxonomic, phylogenetic and functional beta diversity

description: 1. Bird occurrence data retrieved from the BirdLife Australia Atlas (https://birdata.birdlife.org.au/). BirdLife Australia’s Atlas data are collected by skilled birdwatchers at sites they choose, with exact coordinates recorded for each survey. Bird surveys are carried out during the austral breeding season using the “2-ha, 20 min” method. This census method involves searching for birds in a two-hectare plot for 20 minutes. During this period, the volunteer records the geographical reference at the centre of their plot and all birds seen or heard in their survey area, including those flying overhead. Our dataset included sampling plots distributed on both sides of the Nullarbor Plain. This dataset was employed to conduct the diversification analyses. 2. Matrices of beta diversities (phylogenetic and functional), environmental dissimilarities and geographic distances used as input in the analyses.
DOI: 10.6084/m9.figshare.20909083.v2
title: Turnover of bird species along the Nullarbor barrier: insights from taxonomic, phylogenetic and functional beta diversity

description: 1. Bird occurrence data retrieved from the BirdLife Australia Atlas (https://birdata.birdlife.org.au/). BirdLife Australia’s Atlas data are collected by skilled birdwatchers at sites they choose, with exact coordinates recorded for each survey. Bird surveys are carried out during the austral breeding season using the “2-ha, 20 min” method. This census method involves searching for birds in a two-hectare plot for 20 minutes. During this period, the volunteer records the geographical reference at the centre of their plot and all birds seen or heard in their survey area, including those flying overhead. Our dataset included sampling plots distributed on both sides of the Nullarbor Plain. This dataset was employed to conduct the diversification analyses. 2. Matrices of beta diversities (phylogenetic and functional), environmental dissimilarities and geographic distances used as input in the analyses.
DOI: 10.22008/fk2/4n53af/vmjhvt
title: Kujaata_survey.zip

description: :unav
DOI: 10.22008/fk2/4n53af
title: Ground-based magnetic, electromagnetic and VLF surveys in the Nuuluk and Iterlak areas, South-West Greenland

description: For description of data set see: Århus University Kujataa survey details.Size: 118 kB.
DOI: 10.5281/zenodo.7737953
title: RawL0

description: RawL0
DOI: 10.5281/zenodo.7737952
title: RawL0

description: RawL0
DOI: 10.5281/zenodo.7737904
title: Graph construction method impacts variation representation and analyses in a bovine super-pangenome

description: Pangenomes for minigraph, pggb, and cactus containing assemblies from Hereford (cattle reference genome) Highland Brown Swiss Angus Simmental Original Braunvieh Piedmontese Nellore Brahman Yak Bison Gaur Also contains the genomic region classifications for the ARS-UCD1.2 reference genome for Satellites Tandem repeats Low mappability Repetitive regions Normal (everything else)
DOI: 10.5281/zenodo.7737903
title: Graph construction method impacts variation representation and analyses in a bovine super-pangenome

description: Pangenomes for minigraph, pggb, and cactus containing assemblies from Hereford (cattle reference genome) Highland Brown Swiss Angus Simmental Original Braunvieh Piedmontese Nellore Brahman Yak Bison Gaur Also contains the genomic region classifications for the ARS-UCD1.2 reference genome for Satellites Tandem repeats Low mappability Repetitive regions Normal (everything else)
DOI: 10.34740/kaggle/dsv/5172410
title: Nifty-50 & Nifty Future 50 Dataset
DOI: 10.25345/c5w950z1m
title: MassIVE MSV000091491 - Analysis of the N glycosylation profiles of the spike proteins from the Alpha Beta Gamma and Delta variants of SARS CoV 2
title: N-glycosylation plays an important role in the structure and function of membrane and secreted proteins. Viral proteins used in cell entry are often extensively glycosylated to assist in protein folding, provide stability, and shield the virus from immune recognition by its host (described as a 'glycan shield'). The SARS-CoV-2 spike protein (S) is a prime example, having 22 potential sites of N-glycosylation per protein monomer, as predicted from the primary sequence. In this report we conducted a comprehensive mass spectrometric analysis of the N-glycosylation profiles of recombinant spike proteins derived from four common SARS-CoV-2 variants classified as Variant of Concern, including Alpha, Beta, Gamma, and Delta along with D614G variant as a control. Our data reveal that the amino acid substitutions and deletions between variants impacts the abundance and type of glycans on glycosylation sites of the spike protein. Some of the N-glycosylation sequons in S showed differences between SARS-CoV-2 variants in the distribution of glycan forms. In comparison with our previously reported site-specific glycan analysis on the S-D614G and its ancestral protein, glycan types on later variants showed high similarity on the site-specific glycan content to S-D614G. Detailed site-specific glycan analysis of a wide variety of SARS-CoV variants provides useful information toward the understanding of the role of protein glycosylation on viral protein structure and function.
DOI: 10.5683/sp2/8bsymn
title: LAPOP: Belize 2008

description: The Latin American Public Opinion Project (LAPOP) is an academic institution hosted by Vanderbilt University that began with the study of democratic values in Costa Rica, but today carries out surveys in much of Latin America, Canada, the United States, and the Caribbean. In 2004, LAPOP established the AmericasBarometer as multi-country, regularly conducted survey of democratic values and behaviors in the Americas, and the first round included voting-age respondents from 11 countries. LAPOP collected opinions on major problems facing the country and community, threats to security, attitudes towards the country's political system, and trust in government institutions. Also measured were respondents' participation in community organizations, attitudes towards government critics, voting behavior, confidence in local government, and the prevalence of crime. Demographic information collected includes nationality, ethnicity, native language, age, gender, education level, occupation, religion, and whether the respondent lives in an urban or rural area.