cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6073/pasta/6db4cc7bd8970a69238ee3981bed8f91
title: NEON Biorepository Soil Microbe Collection (Bulk Subsamples) (repackaging of occurrences published by the NEON Biorepository Data Portal)

description: This collection contains samples collected during periodic soil sampling and frozen at ultra-low temperatures in order to provide material for microbial sequencing or other microbial analyses (NEON sample classes: sls_soilCoreCollection_in.geneticArchiveSample1ID, sls_soilCoreCollection_in.geneticArchiveSample2ID, sls_soilCoreCollection_in.geneticArchiveSample3ID, sls_soilCoreCollection_in.geneticArchiveSample4ID, sls_soilCoreCollection_in.geneticArchiveSample5ID,sls_metagenomicsPooling_in.compositeSampleID). Archive samples are collected during each soil sampling bout and are promptly frozen. Three unique locations are sampled per plot, with ten plots per site. Bouts occur three times per year in order to capture the prevailing conditions at the site during different seasons, except in Alaska where only 1 bout is possible. Soil sampling is conducted to a maximum depth of 30 ± 1 cm, and when organic (O) and mineral (M) horizons are present within a single profile, they are separated prior to analysis and archiving. However, other sub-horizons are not separated. During the majority of bouts, only the top horizon (O if present, else M) is collected and archived. Soils are homogenized and non-soil material is removed by hand in the field, then subsamples are immediately frozen on dry ice. They are maintained in ultra-low temperature freezers until shipment to the Biorepository. See links below for NEON data products that provide physical, chemical, and biological measurements for these same soils (soil pH and moisture are always measured; chemical properties as well as microbial community composition and biomass are determined only for a subset of collection bouts). In addition, a more detailed characterization of the dominant soil types at each site, including taxonomy, texture, bulk density, and geochemical properties, occurred during the construction period of NEON through two projects. These data are available in NEON data products Soil physical and chemical properties, distributed initial characterization (DP1.10047.001) and Soil physical and chemical properties, Megapit (DP1.00096.001).
DOI: 10.6084/m9.figshare.22056893.v7
title: USA Small Area Synthetic Microdata

description: This is a synthetic population microdata set for the United States that contains artificially generated 100% block-group level individual data. This data set is based solely on published census tables from the 2010 United States Census Summary File 1 (SF1), where an optimization model is developed to minimize the difference between published census tables and synthetic data.
DOI: 10.21227/vn20-hb71
title: Takoradi Synthetic Tracking Movement

description: Takoradi synthetic path
DOI: 10.6073/pasta/0e289d3991e3cf3ac6a1844384a9d0aa
title: NEON Biorepository Soil Microbe Collection (DNA Extracts ) (repackaging of occurrences published by the NEON Biorepository Data Portal)

description: This collection contains genetic extracts from soil microbes collected during periodic soil sampling at NEON terrestrial sites (NEON sample class: mic_dnaExtraction_in.soilDnaSampleID). Three unique locations are sampled per plot with ten soil plots per site. Bouts occur three times per year in order to capture the prevailing conditions at the site during different seasons, except in Alaska where there only 1 bout is possible. However, the frequency of genetic analysis and thus DNA archiving varies by site type. Soil sampling is conducted to a maximum depth of 30 ± 1 cm, and when organic (O) and mineral (M) horizons are present within a single profile, they are separated prior to analysis and archiving. However, other sub-horizons are not separated. During the majority of bouts, only the top horizon (O if present, else M) is analyzed for genetic content. Soils are homogenized and non-soil material is removed by hand in the field, then subsamples are immediately frozen on dry ice. They are maintained in ultra-low temperature freezers until they are shipped to an analytical facility for DNA extraction, sample preparation and sequencing. During peak greenness bouts, subsamples from each of the 3 sampling locations per plot are combined to form a plot-level composite that is used for metagenomics analysis. Laboratory metadata are delivered to NEON for QC testing and acceptance, and then formatted for upload to public sequence repositories. Genetic extracts are shipped from the analytical facility in 96-well plates to the NEON Biorepository to be archived at -80 degrees Celsius. See links below for NEON data products that provide physical, chemical, and biological measurements for these same soils (soil pH, moisture, and microbial properties are always measured; chemical properties are determined only for a subset of collection bouts). The metabarcoding protocol used by Battelle Applied Genomics is available in the NEON document library (https://data.neonscience.org/documents).
DOI: 10.6073/pasta/ca5101c4fffdcde511f7425e6ef384bd
title: NEON Biorepository Surface Water Microbe Collection (Sterivex Filters) (repackaging of occurrences published by the NEON Biorepository Data Portal)

description: This collection contains surface water microbe samples collected on 67 mm long, 1.7 cm diameter, 0.22 um Sterivex capsule filters (NEON sample class: amc_fieldCellCounts_in.archiveID). Surface water microbe samples are collected at the same time and location as surface water cell count samples and surface water chemistry samples once per month in wadeable streams (12 times per year) and every-other month in lakes and rivers (6 times per year). Details on sampling locations and timing are provided in the NEON document titled Surface Water Chemistry Sampling in Aquatic Habitats (https://data.neonscience.org/documents). In wadeable streams, surface water microbe samples are collected near the downstream S2 sensor location. In lakes, microbial samples are collected near the the 'buoy', 'littoral 1', and 'littoral 2' sensors, and sampling depth(s) is dependent on lake stratification. In rivers, microbial samples are collected near the buoy sensor. Water samples are filtered on 0.22 um Sterivex capsule filters, capped and flash-frozen in the field. Sterivex filters are archived at the NEON Biorepository at -80 degrees Celsius. See related links below for protocol.
DOI: 10.5519/qd.5n27n09v
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (3 records)
DOI: 10.6073/pasta/ba29fbf3cc9a3f51a81e16e503fc48c1
title: NEON Biorepository Wet Deposition Collection (repackaging of occurrences published by the NEON Biorepository Data Portal)

description: This collection contains wet deposition samples collected during precipitation events at NEON terrestrial and aquatic sites (NEON sample class: wdp_collection_in.chemSubsampleID). Samples are collected in a climate controlled wet deposition collector located at the tower top of terrestrial sites, and at the meteorologic tower of select aquatic sites. The automated assembly detects precipitation with an optical sensor and opens to collect wet deposition during all rain events. This allows for all types of precipitation to enter the glass collection bottles located within the enclosure. Once precipitation has ceased (as detected by the optical precipitation detector), the retractable lid closes until the next precipitation event is detected. Every two weeks samples are retrieved. A portion of the sample is filtered and sent to an analytical facility for analysis of major ions, pH, and conductivity. The remaining (unused) portion of the sample is not filtered and archived at 4 degrees Celsius for five years. Samples are stored in plastic Nalgene bottles, either PP or HDPE. See related links below for protocols and NEON related data products. Please note that associated datasets include important remarks and notes from the analysis laboratory about the condition of each sample (for example, if debris or contaminants were observed in the sample).
DOI: 10.6084/m9.figshare.22092887
title: Dataset to examine the effect of psychological wellbeing on financial behaviour among older Australians

description: The dataset is used for the journal paper titled "The effect of psychological wellbeing on financial behaviour among older Australians". <br> The data was collected in February 2021 using a simple random sampling method with the sample stratified to ensure balanced gender and age distribution between the young-old (55-64 years) and the old-old (≥ 65y) [47], with a proportional representation from residents living in each major Australian capital city. Respondents had to be either planning to retire or be retired. The data collection process was administered by the Edith Cowan University Survey Research Centre, using computer-aided telephone interview (CATI) technology. After initial screening, 1501 older Australians completed the survey. The survey was developed by a research team consisting of finance and psychology experts and pilot tested for effectiveness and robustness and modified after consultation with representatives from finance and aged-care industries. <br> For more details, see the following report: Lowies, B., Kutin, J., Russell, R., Cornell, V., Altieri, B., Andrew, J., Marriner, T. & Lushington, K. (2021). The psychological wellbeing and financial decision-making of older Australians in times of uncertainty. Adelaide, Australia: University of South Australia. ISBN 978-1-922046-40-6 Link: https://www.unisa.edu.au/contentassets/1d9acbe2b61f48c3a3b605001f86e3ab/financial-decision-making-report_sfs.pdf <br> <br> <br> <br>
DOI: 10.6084/m9.figshare.22092887.v1
title: Dataset to examine the effect of psychological wellbeing on financial behaviour among older Australians

description: The dataset is used for the journal paper titled "The effect of psychological wellbeing on financial behaviour among older Australians". <br> The data was collected in February 2021 using a simple random sampling method with the sample stratified to ensure balanced gender and age distribution between the young-old (55-64 years) and the old-old (≥ 65y) [47], with a proportional representation from residents living in each major Australian capital city. Respondents had to be either planning to retire or be retired. The data collection process was administered by the Edith Cowan University Survey Research Centre, using computer-aided telephone interview (CATI) technology. After initial screening, 1501 older Australians completed the survey. The survey was developed by a research team consisting of finance and psychology experts and pilot tested for effectiveness and robustness and modified after consultation with representatives from finance and aged-care industries. <br> For more details, see the following report: Lowies, B., Kutin, J., Russell, R., Cornell, V., Altieri, B., Andrew, J., Marriner, T. & Lushington, K. (2021). The psychological wellbeing and financial decision-making of older Australians in times of uncertainty. Adelaide, Australia: University of South Australia. ISBN 978-1-922046-40-6 Link: https://www.unisa.edu.au/contentassets/1d9acbe2b61f48c3a3b605001f86e3ab/financial-decision-making-report_sfs.pdf <br> <br> <br> <br>
DOI: 10.25493/5454-zea
title: MEBRAINS: a new population-based monkey template (v1.0)

description: An important limitation of existing anatomical templates for the macaque brain is their reliance on one subject and/or on unimodality (usually T1 images). The MEBRAINS template overcomes this limitation. It is constructed using the multi-brain toolbox for SPM12 and represents a population average of T1- and T2-weighted MRI scans from 10 macaque brains. In addition, 9 CT scans of the same monkeys (one missing) are registered to the T1 modality and co-registered to the population average. Through its main features (multi-subject based, multi-modal, volume-and-surface), MEBRAINS represents an essential step towards the integration of multi-level macaque data, fulfilling a similar role as the EBRAINS multilevel Human Brain Atlas.
DOI: 10.25493/2bv2-001
title: Julich-Brain Atlas, cytoarchitectonic maps (v3.0.1)

description: This dataset contains the Julich-Brain Atlas, Cytoarchitectonic maps in different coordinate spaces. The parcellation provided by the Atlas is derived from the individually released probability maps (PMs) of cytoarchitectonically defined cortical and subcortical brain regions. For the whole-brain parcellation, the available PMs are combined into a maximum probability map (MPM) by considering for each voxel the probability of all cytoarchitectonic brain regions, and determining the most probable assignment. In later versions of this dataset, gap maps complement the maximum probability map of the cytoarchitectonically defined brain regions to achieve full cortical coverage. There are two sets of PMs with a different degree of parcellation included. The set with 157 PMs corresponds to the usual granularity of the Julich-Brain Atlas. This set was used for the calculation of the MPM. Furthermore, a set with 175 PMs is included. This dataset contains, for some regions, more detailed cytoarchitectonic parcellations. For technical reasons, this finer parcellation is only representable via individual PMs due to the spatial resolution of the reference space, i.e., the MPM for the set of 175 PMs is not available. In addition, a set of cortical areas of the MPM is available on the freesurfer fsaverage surface. Note that methodological improvements and integration of new brain structures may lead to small deviations in the parcellation between released versions of this dataset.
DOI: 10.5517/ccdc.csd.cc2dhg3h
title: CCDC 2219386: Experimental Crystal Structure Determination

description: Related Article: Matthew J. Perry, Anthony C. Willis, John B. Bremner, Paul A. Keller|2023|RSC Advances|13|4865|doi:10.1039/D3RA00481C
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.cc2dldbr
title: CCDC 2222214: Experimental Crystal Structure Determination

description: Related Article: Vasily A. Migulin|2023|Org.Chem.Front.|10|977|doi:10.1039/D2QO01983C
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.cc2dldcs
title: CCDC 2222215: Experimental Crystal Structure Determination

description: Related Article: Vasily A. Migulin|2023|Org.Chem.Front.|10|977|doi:10.1039/D2QO01983C
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.cc2dlddt
title: CCDC 2222216: Experimental Crystal Structure Determination

description: Related Article: Vasily A. Migulin|2023|Org.Chem.Front.|10|977|doi:10.1039/D2QO01983C
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.cc2dldfv
title: CCDC 2222217: Experimental Crystal Structure Determination

description: Related Article: Vasily A. Migulin|2023|Org.Chem.Front.|10|977|doi:10.1039/D2QO01983C
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.cc2dlr70
title: CCDC 2222552: Experimental Crystal Structure Determination

description: Related Article: Lachlan J. Watson, Anthony F. Hill|2023|Dalton Trans.|52|2164|doi:10.1039/D2DT03984B
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.cc2dlvc7
title: CCDC 2222649: Experimental Crystal Structure Determination

description: Related Article: Andrés Felipe Sierra, Gemma Aragay, Rosa M. Gomila, Pablo Ballester|2023|Org.Chem.Front.|10|996|doi:10.1039/D2QO01952C
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.cc2dmhcx
title: CCDC 2223269: Experimental Crystal Structure Determination

description: Related Article: Qing Shen, Chengliang He, Shuixing Li, Lijian Zuo, Minmin Shi, Hongzheng Chen|2023|J.Mater.Chem.A|11|3575|doi:10.1039/D2TA09500A
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.cc2dn4jr
title: CCDC 2223894: Experimental Crystal Structure Determination

description: Related Article: Lillian G. Ramírez-Palma, Rodrigo Castro-Ramírez, León Lozano-Ramos, Rodrigo Galindo-Murillo, Norah Barba-Behrens, Fernando Cortés-Guzmán|2023|Dalton Trans.|52|2087|doi:10.1039/D2DT02854A
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.cc2dpdxf
title: CCDC 2225115: Experimental Crystal Structure Determination

description: Related Article: Arthur H. G. David, Rosemary J. Goodwin, Nicholas G. White|2023|Dalton Trans.|52|1902|doi:10.1039/D2DT03985K
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.cc2dpf2m
title: CCDC 2225120: Experimental Crystal Structure Determination

description: Related Article: Arthur H. G. David, Rosemary J. Goodwin, Nicholas G. White|2023|Dalton Trans.|52|1902|doi:10.1039/D2DT03985K
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.cc2dq26f
title: CCDC 2225744: Experimental Crystal Structure Determination

description: Related Article: Arthur H. G. David, Rosemary J. Goodwin, Nicholas G. White|2023|Dalton Trans.|52|1902|doi:10.1039/D2DT03985K
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.22056893.v8
title: USA Small Area Synthetic Microdata

description: This is a synthetic population microdata set for the United States that contains artificially generated 100% block-group level individual data. This data set is based solely on published census tables from the 2010 United States Census Summary File 1 (SF1), where an optimization model is developed to minimize the difference between published census tables and synthetic data.
DOI: 10.5517/ccdc.csd.cc2dd6z0
title: CCDC 2216282: Experimental Crystal Structure Determination

description: Related Article: Diana V. Aleksanyan, Aleksandr A. Spiridonov, Svetlana G. Churusova, Ekaterina Yu. Rybalkina, Anastasia A. Danshina, Alexander S. Peregudov, Zinaida S. Klemenkova, Vladimir A. Kozlov|2023|Inorg.Chim.Acta|548|121369|doi:10.1016/j.ica.2022.121369
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.cc2d727z
title: CCDC 2211330: Experimental Crystal Structure Determination

description: Related Article: Xiao-Xue Liu, Zi-Rui Wang, Guang-Hui Chen, Qiao-Hong Li, Jun Tao, Lei Zhang|2023|Dalton Trans.|52|1857|doi:10.1039/D2DT03756D
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.cc2d7280
title: CCDC 2211331: Experimental Crystal Structure Determination

description: Related Article: Xiao-Xue Liu, Zi-Rui Wang, Guang-Hui Chen, Qiao-Hong Li, Jun Tao, Lei Zhang|2023|Dalton Trans.|52|1857|doi:10.1039/D2DT03756D
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.cc2d7291
title: CCDC 2211332: Experimental Crystal Structure Determination

description: Related Article: Xiao-Xue Liu, Zi-Rui Wang, Guang-Hui Chen, Qiao-Hong Li, Jun Tao, Lei Zhang|2023|Dalton Trans.|52|1857|doi:10.1039/D2DT03756D
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.