cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2c99mm
title: CCDC 2183690: Experimental Crystal Structure Determination

description: Related Article: Matthew J. Evans, George H. Iliffe, Samuel E. Neale, Claire L. McMullin, J. Robin Fulton, Mathew D. Anker, Martyn P. Coles|2022|Chem.Commun.|58|10091|doi:10.1039/D2CC04028J
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.cc2c99nn
title: CCDC 2183691: Experimental Crystal Structure Determination

description: Related Article: Matthew J. Evans, George H. Iliffe, Samuel E. Neale, Claire L. McMullin, J. Robin Fulton, Mathew D. Anker, Martyn P. Coles|2022|Chem.Commun.|58|10091|doi:10.1039/D2CC04028J
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.cc2c99pp
title: CCDC 2183692: Experimental Crystal Structure Determination

description: Related Article: Matthew J. Evans, George H. Iliffe, Samuel E. Neale, Claire L. McMullin, J. Robin Fulton, Mathew D. Anker, Martyn P. Coles|2022|Chem.Commun.|58|10091|doi:10.1039/D2CC04028J
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.cc2c99qq
title: CCDC 2183693: Experimental Crystal Structure Determination

description: Related Article: Matthew J. Evans, George H. Iliffe, Samuel E. Neale, Claire L. McMullin, J. Robin Fulton, Mathew D. Anker, Martyn P. Coles|2022|Chem.Commun.|58|10091|doi:10.1039/D2CC04028J
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.cc2c99rr
title: CCDC 2183694: Experimental Crystal Structure Determination

description: Related Article: Matthew J. Evans, George H. Iliffe, Samuel E. Neale, Claire L. McMullin, J. Robin Fulton, Mathew D. Anker, Martyn P. Coles|2022|Chem.Commun.|58|10091|doi:10.1039/D2CC04028J
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.cc2c99ss
title: CCDC 2183695: Experimental Crystal Structure Determination

description: Related Article: Matthew J. Evans, George H. Iliffe, Samuel E. Neale, Claire L. McMullin, J. Robin Fulton, Mathew D. Anker, Martyn P. Coles|2022|Chem.Commun.|58|10091|doi:10.1039/D2CC04028J
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.cc2c99tt
title: CCDC 2183696: Experimental Crystal Structure Determination

description: Related Article: Matthew J. Evans, George H. Iliffe, Samuel E. Neale, Claire L. McMullin, J. Robin Fulton, Mathew D. Anker, Martyn P. Coles|2022|Chem.Commun.|58|10091|doi:10.1039/D2CC04028J
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.cc2cbhcl
title: CCDC 2184829: Experimental Crystal Structure Determination

description: Related Article: Kinga Kaniewska-Laskowska, Katarzyna Klimsiak, Natalia Szynkiewicz, Jarosław Chojnacki, Rafał Grubba|2022|Chem.Commun.|58|10068|doi:10.1039/D2CC02933B
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.cc2c4b95
title: CCDC 2178906: Experimental Crystal Structure Determination

description: Related Article: Dongsheng Zhang, Ming-Chen Xiong, Li-Ya Niu, Qing-Zheng Yang|2022|Chem.Commun.|58|10060|doi:10.1039/D2CC04191J
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.cc2cyn22
title: CCDC 2203234: Experimental Crystal Structure Determination

description: Related Article: Amna Kamal, Muhammad Adnan Iqbal, Haq Nawaz Bhatti, Abdul Ghaffar|2022|J.Coord.Chem.|1|1|doi:10.1080/00958972.2022.2101921
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.cc2cyn33
title: CCDC 2203235: Experimental Crystal Structure Determination

description: Related Article: Amna Kamal, Muhammad Adnan Iqbal, Haq Nawaz Bhatti, Abdul Ghaffar|2022|J.Coord.Chem.|1|1|doi:10.1080/00958972.2022.2101921
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.cc2cyq9c
title: CCDC 2203303: Experimental Crystal Structure Determination

description: Related Article: E. Irrou, Y.A. Elmachkouri, A. Oubella, H. Ouchtak, S. Dalbouha, J.T. Mague, T. Hökelek, L. El Ghayati, N.K. Sebbar, M.L. Taha|2022|Acta Crystallogr.,Sect.E:Cryst.Commun.|78|953|doi:10.1107/S2056989022008489
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.7044932
title: Surface-Volume Atlases of the Infant Brain

description: Joint surface-volume brain atlases of the human infants for each month between 2 weeks and 24 months of age. The month-specific atlases include T1-weighted images, T2-weighted images, tissue segmentation maps, and hemispheric white and pial surfaces. Joint surface-volume atlases for preschoolers (36 - 60 months) are also included.
description: This work was supported in part by National Institutes of Health (NIH) grants EB008374 and MH125479 awarded to Pew-Thian Yap.
DOI: 10.5281/zenodo.7044931
title: Surface-Volume Atlases of the Infant Brain

description: Joint surface-volume brain atlases of the human infants for each month between 2 weeks and 24 months of age. The month-specific atlases include T1-weighted images, T2-weighted images, tissue segmentation maps, and hemispheric white and pial surfaces. Joint surface-volume atlases for preschoolers (36 - 60 months) are also included.
description: This work was supported in part by National Institutes of Health (NIH) grants EB008374 and MH125479 awarded to Pew-Thian Yap.
DOI: 10.5519/qd.mrswqzw7
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (112 records)
DOI: 10.5519/qd.ponvziou
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (3 records)
DOI: 10.5519/qd.tw9ldzjr
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (2 records)
DOI: 10.5519/qd.c6ccyz32
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (2 records)
DOI: 10.6084/m9.figshare.21066055
title: Analysis of the Screening and Predicting Characteristics in the House-Tree-Person Drawing Test for Mental Disorders: A Systematic Review and Meta-analysis

description: Supplementary Material for a meta-analysis
DOI: 10.6084/m9.figshare.21066055.v1
title: Analysis of the Screening and Predicting Characteristics in the House-Tree-Person Drawing Test for Mental Disorders: A Systematic Review and Meta-analysis

description: Supplementary Material for a meta-analysis
DOI: 10.5281/zenodo.7039251
title: Dominant Rural Technological Trajectories (TTs) dataset at municipality level of the Amazon Biome

description: This dataset contains the dominant technological trajectories (TTs) of the Amazon Biome municipalities for the years of 1995, 2006 and 2017. The dominant trajectory is the one, among the six identified by Costa (2021), that is economically most important in the municipality. The relative share of the Gross Value of Rural Production of the trajectory in the total Gross Value of Rural Production in the municipality was taken as a proxy of economic importance. From the tabulation of the datasets in Costa (2021), the dominant technological trajectory was identified, it means, considering the methodology used, which of the six TTs was responsible for over 50% of the municipal Gross Value of Rural Production. The dominant TTs were calculated using the official municipal grid for the year the agricultural census was carried out. The dataset is organized as a .csv table, for each year (1995, 2006 and 2017), with a geographic key for each municipality (6-digit municipality code, 2-digit state code), that can be easily linked with municipality available shapefiles and other datasets. References: Costa, F. A. Structural diversity and change in rural Amazonia: a comparative assessment of the technological trajectories based on agricultural censuses (1995, 2006 and 2017). <strong>Nova econ. </strong>31 (02), May-Aug 2021, doi:10.1590/0103-6351/6373.
DOI: 10.5281/zenodo.7039250
title: Dominant Rural Technological Trajectories (TTs) dataset at municipality level of the Amazon Biome

description: This dataset contains the dominant technological trajectories (TTs) of the Amazon Biome municipalities for the years of 1995, 2006 and 2017. The dominant trajectory is the one, among the six identified by Costa (2021), that is economically most important in the municipality. The relative share of the Gross Value of Rural Production of the trajectory in the total Gross Value of Rural Production in the municipality was taken as a proxy of economic importance. From the tabulation of the datasets in Costa (2021), the dominant technological trajectory was identified, it means, considering the methodology used, which of the six TTs was responsible for over 50% of the municipal Gross Value of Rural Production. The dominant TTs were calculated using the official municipal grid for the year the agricultural census was carried out. The dataset is organized as a .csv table, for each year (1995, 2006 and 2017), with a geographic key for each municipality (6-digit municipality code, 2-digit state code), that can be easily linked with municipality available shapefiles and other datasets. References: Costa, F. A. Structural diversity and change in rural Amazonia: a comparative assessment of the technological trajectories based on agricultural censuses (1995, 2006 and 2017). <strong>Nova econ. </strong>31 (02), May-Aug 2021, doi:10.1590/0103-6351/6373.
DOI: 10.6084/m9.figshare.21066187.v1
title: Table S2

description: suppelementary tables 1-7
DOI: 10.6084/m9.figshare.21066190.v1
title: Table S6

description: suppelementary tables 1-7
DOI: 10.6084/m9.figshare.21066193.v1
title: Table S3

description: suppelementary tables 1-7
DOI: 10.6084/m9.figshare.21066184
title: Table S1

description: Supplementary Table 1suppelementary tables 1-7
DOI: 10.6084/m9.figshare.21066184.v1
title: Table S1

description: Supplementary Table 1suppelementary tables 1-7
DOI: 10.6084/m9.figshare.21066190
title: Table S6

description: suppelementary tables 1-7
DOI: 10.6084/m9.figshare.21066196.v1
title: Table S7

description: suppelementary tables 1-7
DOI: 10.6084/m9.figshare.21066199
title: Table S4

description: suppelementary tables 1-7
DOI: 10.6084/m9.figshare.21066202.v1
title: Table S5

description: suppelementary tables 1-7
DOI: 10.6084/m9.figshare.21066199.v1
title: Table S4

description: suppelementary tables 1-7
DOI: 10.6084/m9.figshare.21066187
title: Table S2

description: suppelementary tables 1-7
DOI: 10.6084/m9.figshare.21066193
title: Table S3

description: suppelementary tables 1-7
DOI: 10.6084/m9.figshare.21066202
title: Table S5

description: suppelementary tables 1-7
DOI: 10.6084/m9.figshare.21066196
title: Table S7

description: suppelementary tables 1-7
DOI: 10.21233/m74r-e023
title: Rooiberg Shelter I pollen dataset

description: Raw data for the Rooiberg Shelter I pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/vwss-ea47
title: Galana Boi Beds pollen dataset

description: Raw data for the Galana Boi Beds pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/ydbs-6q17
title: Cobb Valley CV3 pollen dataset

description: Raw data for the Cobb Valley CV3 pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.6084/m9.figshare.18737657
title: Metagenome Sequences

description: <strong>Environmental selection influences the microbiome of subsurface petroleum reservoirs</strong> <br> Metagenome sequence gene predictions
DOI: 10.6084/m9.figshare.18737657.v1
title: Metagenome Sequences

description: <strong>Environmental selection influences the microbiome of subsurface petroleum reservoirs</strong> <br> Metagenome sequence gene predictions
DOI: 10.6084/m9.figshare.18737558
title: CloneSeqs.fasta

description: <strong>Environmental selection influences the microbiome of subsurface petroleum reservoirs</strong> <br> Clone sequences
DOI: 10.6084/m9.figshare.18737558.v1
title: CloneSeqs.fasta

description: <strong>Environmental selection influences the microbiome of subsurface petroleum reservoirs</strong> <br> Clone sequences
DOI: 10.6084/m9.figshare.18737561
title: HighThroughputSeqs.fasta

description: <strong>Environmental selection influences the microbiome of subsurface petroleum reservoirs</strong> <br> High throughput 16S rRNA gene sequences
DOI: 10.6084/m9.figshare.18737561.v1
title: HighThroughputSeqs.fasta

description: <strong>Environmental selection influences the microbiome of subsurface petroleum reservoirs</strong> <br> High throughput 16S rRNA gene sequences
DOI: 10.6073/pasta/553d29a51b4050dee630b412b59fda45
title: Baseline survey for beef cattle producers in the Southwest and Southern Plains

description: This data package includes survey questions from beef cattle producers collectively operating in at least 31 counties in at least 7 states (California, Illinois, Missouri, Nebraska, New Mexico, Oklahoma, Texas) - "at least" because there were some respondents who chose not to provide the location of their operation. Responses were collected between January 22, 2020 and May 31, 2021. Most of the surveys were administered in person at the 2020 Southwest Beef Symposium in Amarillo, TX. The survey was also placed online and an additional few responses were collected through the online survey. These data represent a sample of convenience as no formal sampling scheme was employed in soliciting responses. Survey responses are summarized in the publication, Snapshot of Rancher Perspectives on Creative Cattle Management Options (Elias et. al, 2020). The purpose of gathering these data was to learn more about the characteristics of beef cattle producers in the region and to gauge producer interest in precision livestock ranching technologies and heritage cattle – both strategies being researched by the Sustainable Southwest Beef Project to support sustainability of ranching operations in the Southwest and Southern Plains regions of the US.
DOI: 10.6084/m9.figshare.21066223
title: Supplementary Tables

description: Supplementary Table 1-7
DOI: 10.6084/m9.figshare.20059259
title: Scurtu et al., (2021). The Multi-Component Gratitude Measure (MCGM): validation study in Spanish adults

description: La base de datos incluye: 1. Información sociodemográfica de los participantes; y puntuación total y por ítem de las escalas 2. MCGM; 3. CQ-6; 4. SWLS; 5. SHS; 6. GHQ-12; y 7. PANAS
DOI: 10.6084/m9.figshare.20059259.v4
title: Scurtu et al., (2021). The Multi-Component Gratitude Measure (MCGM): validation study in Spanish adults

description: La base de datos incluye: 1. Información sociodemográfica de los participantes; y puntuación total y por ítem de las escalas 2. MCGM; 3. CQ-6; 4. SWLS; 5. SHS; 6. GHQ-12; y 7. PANAS
DOI: 10.6084/m9.figshare.20806228.v2
title: Obispo-Díaz, et al., Gratitud.sav

description: Base de datos que incluye información sociodemográfica, ítems y puntuación total de las escalas CQ6, SWLS, SHS y Panas (positivo y negativo)
DOI: 10.6084/m9.figshare.20806228.v1
title: Obispo-Díaz, et al., Gratitud.sav

description: Base de datos que incluye información sociodemográfica, ítems y puntuación total de las escalas CQ6, SWLS, SHS y Panas (positivo y negativo)
DOI: 10.5255/ukda-sn-855969
title: Neighbourhoods: Our People, Our Places Work Package, 2016-2018

description: The ‘Neighbourhoods: our people, our places study’ (2014 – 2019) was undertaken as part of a wider programme of research exploring dementia in a neighbourhood context (Keady 2014). The research was intended to inform commitments set out in the Prime Minister’s Challenge on Dementia (DoH 2012) which included plans to develop a nationwide network of dementia friendly communities. The project built on a pilot study involving 14 carers of people with dementia, conducted in the north-west of England during 2011 (Ward et al 2012). This allowed us to test the feasibility and refine the design in collaboration with stakeholders using workshops that included people with dementia, carers, practitioners, service commissioners and local policymakers. Design and methodology: The main aim was to investigate how neighbourhoods and local communities can support people living with dementia to remain socially and physically active. Working within a social constructionist paradigm, we used qualitative methods framed by a longitudinal and comparative design. The project extended over three fieldsites: Greater Manchester in northern England; the Central Belt of Scotland; and the county of Östergötland in the south of Sweden. Each fieldsite incorporated a research phase followed by planning and development for a neighbourhood-based intervention.
DOI: 10.5281/zenodo.6998238
title: Models of the early diagenesis of neodymium and its radiogenic isotope at deep-sea site HH3000, Oregon margin, Northeast Pacific

description: Outputs of the early diagenetic model for neodymium and its radiogenic isotope at deep sea station HH3000 (3060 m, 43°52'N, 125°38'W) from the Oregon margin, Northeast Pacific. Three types of models are included, and the files are named as following: 1. Baseline simulations, "HH3000Nd.baseline.copre_output.xlsx" for the co-precipitation formulation, and "HH3000Nd.baseline.revscan_output.xlsx" for the reversible scavenging formulation. 2. Sensitivity tests of silicate dissolution rate: "HH3000Nd.{<em>mineral</em>}.{<em>dissolution rate</em>}_output.xlsx", where {<em>mineral</em>} can be "Basalt", "Plag" (plagioclase), "Cpx" (clinopyroxene) or "Chl" (chlorite), and {<em>dissolution rate</em>} can be "1e0" to "1e5", referring to the order of magnitude reduction of dissolution rate relative to the laboratory-derived rates. 3. Sensitivity tests of authigenic clay precipitation rate: “HH3000Nd.basalt.{<em>precipitation rate</em>}.illite_output.xlsx", where "{<em>precipitation rate</em>}" can be "no", "slow", "normal", or "fast". Explanations of the modeled variables in the above files can be found in "model variable note.xlsx".
description: This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement 891489. J.D. was also supported by an ETH Zurich Postdoctoral Fellowship 19-2 FEL-32. A.C.M and B.A.H. received funding from US NSF Grant 1357529. B.A.H was supported by US NSF Grant 1850765. J.M. was supported by US NSF Grant 1850789. Collection of Oregon margin pore water and sediment data were funded by US NSF Grant 1147407.
DOI: 10.5281/zenodo.6998239
title: Models of the early diagenesis of neodymium and its radiogenic isotope at deep-sea site HH3000, Oregon margin, Northeast Pacific

description: Outputs of the early diagenetic model for neodymium and its radiogenic isotope at deep sea station HH3000 (3060 m, 43°52'N, 125°38'W) from the Oregon margin, Northeast Pacific. Three types of models are included, and the files are named as following: 1. Baseline simulations, "HH3000Nd.baseline.copre_output.xlsx" for the co-precipitation formulation, and "HH3000Nd.baseline.revscan_output.xlsx" for the reversible scavenging formulation. 2. Sensitivity tests of silicate dissolution rate: "HH3000Nd.{<em>mineral</em>}.{<em>dissolution rate</em>}_output.xlsx", where {<em>mineral</em>} can be "Basalt", "Plag" (plagioclase), "Cpx" (clinopyroxene) or "Chl" (chlorite), and {<em>dissolution rate</em>} can be "1e0" to "1e5", referring to the order of magnitude reduction of dissolution rate relative to the laboratory-derived rates. 3. Sensitivity tests of authigenic clay precipitation rate: “HH3000Nd.basalt.{<em>precipitation rate</em>}.illite_output.xlsx", where "{<em>precipitation rate</em>}" can be "no", "slow", "normal", or "fast". Explanations of the modeled variables in the above files can be found in "model variable note.xlsx".
description: This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement 891489. J.D. was also supported by an ETH Zurich Postdoctoral Fellowship 19-2 FEL-32. A.C.M and B.A.H. received funding from US NSF Grant 1357529. B.A.H was supported by US NSF Grant 1850765. J.M. was supported by US NSF Grant 1850789. Collection of Oregon margin pore water and sediment data were funded by US NSF Grant 1147407.
DOI: 10.6084/m9.figshare.20520717
title: List of U.S. State COVID-19 Vaccine Incentives (Lotteries, Guaranteed Cash Payments, and Scholarships)

description: <em>List of U.S. state COVID-19 vaccine incentives and their characteristics. Incentive types include lotteries, guaranteed cash payments, and scholarships. </em>