cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2c3p39
title: CCDC 2178280: Experimental Crystal Structure Determination

description: Related Article: E.I. Davydova, G. Balázs, M. Bodensteiner, M. Scheer, A.Y. Timoshkin|2023|J.Organomet.Chem.|983|122551|doi:10.1016/j.jorganchem.2022.122551
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.cc2c3p4b
title: CCDC 2178281: Experimental Crystal Structure Determination

description: Related Article: E.I. Davydova, G. Balázs, M. Bodensteiner, M. Scheer, A.Y. Timoshkin|2023|J.Organomet.Chem.|983|122551|doi:10.1016/j.jorganchem.2022.122551
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.cc2c7tjz
title: CCDC 2182261: Experimental Crystal Structure Determination

description: Related Article: Hans Gildenast, Steven van Terwingen, Léana Wendland, Jan Niclas Neumann, Irmgard Kalf, Holger Fränzl, Ulli Englert|2023|Inorg.Chim.Acta|546|121283|doi:10.1016/j.ica.2022.121283
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.cc2c7tk0
title: CCDC 2182262: Experimental Crystal Structure Determination

description: Related Article: Hans Gildenast, Steven van Terwingen, Léana Wendland, Jan Niclas Neumann, Irmgard Kalf, Holger Fränzl, Ulli Englert|2023|Inorg.Chim.Acta|546|121283|doi:10.1016/j.ica.2022.121283
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.cc2c7tl1
title: CCDC 2182263: Experimental Crystal Structure Determination

description: Related Article: Hans Gildenast, Steven van Terwingen, Léana Wendland, Jan Niclas Neumann, Irmgard Kalf, Holger Fränzl, Ulli Englert|2023|Inorg.Chim.Acta|546|121283|doi:10.1016/j.ica.2022.121283
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.cc2c7tm2
title: CCDC 2182264: Experimental Crystal Structure Determination

description: Related Article: Hans Gildenast, Steven van Terwingen, Léana Wendland, Jan Niclas Neumann, Irmgard Kalf, Holger Fränzl, Ulli Englert|2023|Inorg.Chim.Acta|546|121283|doi:10.1016/j.ica.2022.121283
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.cc2c7tn3
title: CCDC 2182265: Experimental Crystal Structure Determination

description: Related Article: Hans Gildenast, Steven van Terwingen, Léana Wendland, Jan Niclas Neumann, Irmgard Kalf, Holger Fränzl, Ulli Englert|2023|Inorg.Chim.Acta|546|121283|doi:10.1016/j.ica.2022.121283
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.cc2c7tp4
title: CCDC 2182266: Experimental Crystal Structure Determination

description: Related Article: Hans Gildenast, Steven van Terwingen, Léana Wendland, Jan Niclas Neumann, Irmgard Kalf, Holger Fränzl, Ulli Englert|2023|Inorg.Chim.Acta|546|121283|doi:10.1016/j.ica.2022.121283
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.cc2c7tq5
title: CCDC 2182267: Experimental Crystal Structure Determination

description: Related Article: Hans Gildenast, Steven van Terwingen, Léana Wendland, Jan Niclas Neumann, Irmgard Kalf, Holger Fränzl, Ulli Englert|2023|Inorg.Chim.Acta|546|121283|doi:10.1016/j.ica.2022.121283
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.cc2c7tr6
title: CCDC 2182268: Experimental Crystal Structure Determination

description: Related Article: Hans Gildenast, Steven van Terwingen, Léana Wendland, Jan Niclas Neumann, Irmgard Kalf, Holger Fränzl, Ulli Englert|2023|Inorg.Chim.Acta|546|121283|doi:10.1016/j.ica.2022.121283
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.cc2cb7rq
title: CCDC 2184593: Experimental Crystal Structure Determination

description: Related Article: Fang-Fang Wu, Yu-Qing Wu, Zhao-Xi Wang, Xiang He, Ming-Xing Li|2022|Inorg.Chem.Commun.|146|110202|doi:10.1016/j.inoche.2022.110202
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.cc2cb7sr
title: CCDC 2184594: Experimental Crystal Structure Determination

description: Related Article: Fang-Fang Wu, Yu-Qing Wu, Zhao-Xi Wang, Xiang He, Ming-Xing Li|2022|Inorg.Chem.Commun.|146|110202|doi:10.1016/j.inoche.2022.110202
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.cc2cb7ts
title: CCDC 2184595: Experimental Crystal Structure Determination

description: Related Article: Fang-Fang Wu, Yu-Qing Wu, Zhao-Xi Wang, Xiang He, Ming-Xing Li|2022|Inorg.Chem.Commun.|146|110202|doi:10.1016/j.inoche.2022.110202
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.cc2cb956
title: CCDC 2184637: Experimental Crystal Structure Determination

description: Related Article: Siliang Chang, Shu Guo, Ning Li, Yongpeng Li, Shanshan Liu, Tao He, Xin Yang, Kai Feng|2023|J.Solid State Chem.|317|123710|doi:10.1016/j.jssc.2022.123710
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.cc2cjdz9
title: CCDC 2190521: Experimental Crystal Structure Determination

description: Related Article: Zhong-Hui Huang, Xiao Liang, Qiong Gu, Xuan Ma, Shu-Hua Qi|2023|Phytochemistry|205|113511|doi:10.1016/j.phytochem.2022.113511
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.cc2cjd7k
title: CCDC 2190498: Experimental Crystal Structure Determination

description: Related Article: Zhong-Hui Huang, Xiao Liang, Qiong Gu, Xuan Ma, Shu-Hua Qi|2023|Phytochemistry|205|113511|doi:10.1016/j.phytochem.2022.113511
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.cc2cjf0c
title: CCDC 2190522: Experimental Crystal Structure Determination

description: Related Article: Zhong-Hui Huang, Xiao Liang, Qiong Gu, Xuan Ma, Shu-Hua Qi|2023|Phytochemistry|205|113511|doi:10.1016/j.phytochem.2022.113511
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.cc2cjd9m
title: CCDC 2190500: Experimental Crystal Structure Determination

description: Related Article: Zhong-Hui Huang, Xiao Liang, Qiong Gu, Xuan Ma, Shu-Hua Qi|2023|Phytochemistry|205|113511|doi:10.1016/j.phytochem.2022.113511
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.cc2cjdq1
title: CCDC 2190513: Experimental Crystal Structure Determination

description: Related Article: Zhong-Hui Huang, Xiao Liang, Qiong Gu, Xuan Ma, Shu-Hua Qi|2023|Phytochemistry|205|113511|doi:10.1016/j.phytochem.2022.113511
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.7140752
title: Shotgun metagenomic sequencing dataset of a synthetic mock community containing 20 genomes spiked-in at even and staggered concentrations.

description: Shotgun metagenomics (SM) sequencing is a popular method used in microbial ecology to obtain insights on microbial community structure and function potential in a given biological system without the need to cultivate microorganisms. The dataset described in this article describes technical triplicates of shotgun metagenomic sequence libraries generated from two purified and titrated mixes of 20 distinct reference bacterial genomes for which key characteristics such as genome size, sequence and spiked-in concentrations are known. In one of the genomic DNA mix, each genome is spiked-in at similar concentrations (representing an even microbial community) and in the other, genomes are spiked-in at different concentrations with some genomes highly abundant and other in low quantity, mimicking an uneven microbial community DNA extract. In order to be interpretable, SM sequencing data needs to be properly analyzed by complex analytical bioinformatic pipelines. Environments investigated with this method can range from simple to very complex. Typically, microbial communities contain microbes that are ubiquitous and some others much rarer. Analysis of rare microbes in a complex microbial community are challenging to perform as their sequencing signals get submerged by the microbial genomes that are more abundant. In this context, it is critical to have access to sequencing data of simple mock communities of mixes of well characterized genomes in order to develop and validate bioinformatic methods that aim to accurately analyze microbial communities.
description: This dataset publication supports the scientific article entitled "High resolution shotgun metagenomics: the more data, the better?" published in the journal Briefings in Bioinformatics.
DOI: 10.5281/zenodo.7140751
title: Shotgun metagenomic sequencing dataset of a synthetic mock community containing 20 genomes spiked-in at even and staggered concentrations.

description: Shotgun metagenomics (SM) sequencing is a popular method used in microbial ecology to obtain insights on microbial community structure and function potential in a given biological system without the need to cultivate microorganisms. The dataset described in this article describes technical triplicates of shotgun metagenomic sequence libraries generated from two purified and titrated mixes of 20 distinct reference bacterial genomes for which key characteristics such as genome size, sequence and spiked-in concentrations are known. In one of the genomic DNA mix, each genome is spiked-in at similar concentrations (representing an even microbial community) and in the other, genomes are spiked-in at different concentrations with some genomes highly abundant and other in low quantity, mimicking an uneven microbial community DNA extract. In order to be interpretable, SM sequencing data needs to be properly analyzed by complex analytical bioinformatic pipelines. Environments investigated with this method can range from simple to very complex. Typically, microbial communities contain microbes that are ubiquitous and some others much rarer. Analysis of rare microbes in a complex microbial community are challenging to perform as their sequencing signals get submerged by the microbial genomes that are more abundant. In this context, it is critical to have access to sequencing data of simple mock communities of mixes of well characterized genomes in order to develop and validate bioinformatic methods that aim to accurately analyze microbial communities.
description: This dataset publication supports the scientific article entitled "High resolution shotgun metagenomics: the more data, the better?" published in the journal Briefings in Bioinformatics.
DOI: 10.6084/m9.figshare.20288538
title: Spatial and Temporal Variability of Microplastic Abundance in Estuarine Intertidal Sediments

description: To investigate small-scale temporal and spatial variability in microplastic abundance and distribution, microplastics were collected from the intertidal zone of a sandy beach in the Charleston Harbor estuary, South Carolina, every 1 to 2 days over a 17-day period.
DOI: 10.6084/m9.figshare.21636818
title: Acute effect of maximal cardiorespiratory capacity test on immunological indicators in U-23 soccer athletes: A blinding trial

description: Acute effect of maximal cardiorespiratory capacity test on immunological indicators in U-23 soccer athletes: A blinding trial
DOI: 10.6084/m9.figshare.21636818.v1
title: Acute effect of maximal cardiorespiratory capacity test on immunological indicators in U-23 soccer athletes: A blinding trial

description: Acute effect of maximal cardiorespiratory capacity test on immunological indicators in U-23 soccer athletes: A blinding trial
DOI: 10.34740/kaggle/dsv/4604353
title: Masked Face Recognition Dataset
DOI: 10.34681/7jzv-t634
title: Regional Partnership Grants National Cross-Site Evaluation (RPG-4)

description: To address the far-reaching consequences of adult substance use disorders on families and 
children, Congress authorized competitive grants to support partnerships among child welfare, 
substance abuse treatment, and related organizations. Children’s Bureau (CB) within the 
Administration for Children and Families, Administration on Children, Youth, and Families at 
the U.S. Department of Health and Human Services established the Regional Partnership Grant 
(RPG) program to implement programs to meet the needs of this target population.
CB funded Mathematica, along with its subcontractor Walter R. MacDonald & Associates 
(WRMA), to conduct a cross-site evaluation of the grantees’ RPG projects. 
Mathematica/WRMA designed a cross-site evaluation to address the following research 
questions:
1. Which partners were involved in each RPG project and how did they work together? 
2. How much progress did RPG4 projects make toward interagency collaboration and 
service coordination? 
3. How did the child welfare and substance use treatment agencies work together to achieve 
the goals of RPG? 
4. What referral sources did RPG projects use? Did referral sources change over time? 
5. What are the characteristics of families who enrolled in RPG? 
6. To what extent did RPG projects reach their target populations? 
7. What core services were provided and to whom? 
8. Were core services that families received different from the services proposed in grantee 
applications? If so, what led to the changes in planned services? 
9. How engaged were participants with the services provided? 
10. Which agencies (grantees and their partners) provided services? 
11. What proportion of families exited RPG? 
12. What plans and activities did RPG projects undertake to maintain the implementation 
infrastructure and processes during and after the grant period? 
13. What plans and activities did RPG projects undertake to maintain the organizational 
infrastructure and processes after the grant period? 
14. To what extent were RPG projects prepared to sustain services after the grant period? 
15. What plans and activities did RPG projects undertake to develop funding strategies and 
secure resources needed after the grant period? 
16. How did the federal, state, and local context affect RPG projects and their efforts to 
sustain RPG services? 
17. What were the well-being, permanency, safety, recovery, and family functioning 
outcomes for children and adults who enrolled in RPG projects? 
18. What were the impacts of RPG projects on children and adults who enrolled in RPG?
The cross site evaluation uses several data sources to answer these research questions: (1) a 
partner study, (2) enrollment and services data, (3) outcomes data, and (4) site visits. The
included design report executive summary provides more details on this evaluation.
DOI: 10.6084/m9.figshare.21623799
title: Raw Nanopore sequencing data

description: RAW Nanopore sequencing data. Biomonitoring with environmental DNA to detect amphibians
DOI: 10.6084/m9.figshare.21623799.v1
title: Raw Nanopore sequencing data

description: RAW Nanopore sequencing data. Biomonitoring with environmental DNA to detect amphibians
DOI: 10.34740/kaggle/dsv/4610461
title: Masked Face Recognition Dataset
DOI: 10.6073/pasta/33d452d96e56e217e63e6aa8781a1763
title: CDRRC growing season aridity and grazing season vegetation biomass data

description: Growing season aridity and livestock grazing seasonality can influence biomass production of perennial grasses in dryland systems. For this study, we used a long-term dataset (1967-2004) to investigate the independent and joint effects of growing season aridity (De Martonne aridity index calculated for the months of June through September) and grazing season (yearlong continuous, fall, winter/spring, or summer season grazing) on the mean annual biomass (kg per hectare) of the perennial grasses Bouteloua eriopoda (black grama), Aristida spp. (threeawn), and Sporobolus spp. (dropseed) in a southwestern United States Chihuahuan Desert rangeland system. Biomass data were collected from 78 permanent sampling transects that were within one mile (1609.34 m) distance to water. Over the 37-year study period, total perennial grass biomass decreased as growing season aridity increased, but the extent of this relationship depended upon season of grazing and specific grass taxon. Aridity-related decreases in total perennial grass biomass were most severe in the summer and fall summer seasonal grazing pastures, primarily due to inherently low black grama levels. Our findings indicate that over time, summer and fall grazing can potentially exacerbate the negative effects of increasing aridity on perennial grass biomass.
DOI: 10.6084/m9.figshare.21632732
title: Data from "Temporal analysis of GBIF data reveals the restructuring of communities following climate change"

description: Environmental data extracted from each 200-km-radius sliding window. Columns are: id_window : an identifier for each sliding window hii : the mean Human Influence Index within the sliding window season : the period from which temperature data were extracted (annual, summer or winter) temperature_trend : the linear trend in temperature in the sliding window (°C / yr) temperature_mean : the mean temperature in the sliding window (°C) continent : whether the sliding window is located in Europe or North America longitude : the longitude of the centroid of the sliding window (decimal degrees, WGS84) latitude : the latitude of the centroid of the sliding window (decimal degrees, WGS84) ecoregion : the main ecoregion that the sliding window overlaps
DOI: 10.6084/m9.figshare.21632732.v1
title: Data from "Temporal analysis of GBIF data reveals the restructuring of communities following climate change"

description: Environmental data extracted from each 200-km-radius sliding window. Columns are: id_window : an identifier for each sliding window hii : the mean Human Influence Index within the sliding window season : the period from which temperature data were extracted (annual, summer or winter) temperature_trend : the linear trend in temperature in the sliding window (°C / yr) temperature_mean : the mean temperature in the sliding window (°C) continent : whether the sliding window is located in Europe or North America longitude : the longitude of the centroid of the sliding window (decimal degrees, WGS84) latitude : the latitude of the centroid of the sliding window (decimal degrees, WGS84) ecoregion : the main ecoregion that the sliding window overlaps
DOI: 10.17909/5y5j-fx71
title: Light Curves from TESS and the DLT40 Survey ("TESS-DLT40")