cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2ksxs2
title: CCDC 2377445: Experimental Crystal Structure Determination

description: Related Article: Genfeng Feng, Makoto Yamashita|2024|J.Am.Chem.Soc.|146|28653|doi:10.1021/jacs.4c11586
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.cc2ksxt3
title: CCDC 2377446: Experimental Crystal Structure Determination

description: Related Article: Genfeng Feng, Makoto Yamashita|2024|J.Am.Chem.Soc.|146|28653|doi:10.1021/jacs.4c11586
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.cc2ksxv4
title: CCDC 2377447: Experimental Crystal Structure Determination

description: Related Article: Genfeng Feng, Makoto Yamashita|2024|J.Am.Chem.Soc.|146|28653|doi:10.1021/jacs.4c11586
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.cc2ksxw5
title: CCDC 2377448: Experimental Crystal Structure Determination

description: Related Article: Genfeng Feng, Makoto Yamashita|2024|J.Am.Chem.Soc.|146|28653|doi:10.1021/jacs.4c11586
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.cc2ksxx6
title: CCDC 2377449: Experimental Crystal Structure Determination

description: Related Article: Genfeng Feng, Makoto Yamashita|2024|J.Am.Chem.Soc.|146|28653|doi:10.1021/jacs.4c11586
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: 10.15468/dl.4vdtmw
title: Occurrence Download

description: A dataset containing 3675267 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Observation",
 "BasisOfRecord is Literature Occurrence"
 ]
 },
 {
 "or" : [
 "GadmGid is DEU.3.1_1",
 "GadmGid is DEU.6.1.1_1",
 "GadmGid is DEU.2.60_1",
 "GadmGid is FRA.13.3.4_1",
 "GadmGid is FRA.1.11.1_1",
 "GadmGid is CHE.26.13_1",
 "GadmGid is CHE.26_1",
 "GadmGid is CHE.8.1_1",
 "GadmGid is CHE.5.1_1",
 "GadmGid is CHE.5_1",
 "GadmGid is CHE.5.1.1_1",
 "GadmGid is NLD.9.4_1",
 "GadmGid is NLD.14.67_1",
 "GadmGid is AUT.9.1_1",
 "GadmGid is AUT.6.4_1",
 "GadmGid is AUT.4.8_1",
 "GadmGid is BEL.1.1.1_1",
 "GadmGid is BEL.2.1.1_1",
 "GadmGid is BEL.3.3.2_1",
 "GadmGid is LUX.3_1",
 "GadmGid is LUX.3.3_1",
 "GadmGid is DEU.1.12_1",
 "GadmGid is DEU.1.40.1_1"
 ]
 },
 {
 "or" : [
 "Issue is Coordinate rounded",
 "Issue is Geodetic datum assumed WGS84",
 "Issue is Coordinate reprojected",
 "Issue is Coordinate precision/uncertainty mismatch",
 "Issue is Country derived from coordinates",
 "Issue is Continent derived from coordinates",
 "Issue is Presumed swapped coordinate",
 "Issue is Presumed negated longitude",
 "Issue is Presumed negated latitude",
 "Issue is Recorded date mismatch",
 "Issue is Recorded date invalid",
 "Issue is Recorded date unlikely",
 "Issue is Taxon match fuzzy",
 "Issue is Taxon match higher rank",
 "Issue is Taxon match none",
 "Issue is Depth not metric",
 "Issue is Depth unlikely",
 "Issue is Depth min max swapped",
 "Issue is Depth non numeric",
 "Issue is Elevation unlikely",
 "Issue is Elevation min max swapped",
 "Issue is Elevation not metric",
 "Issue is Elevation non numeric",
 "Issue is Modified date unlikely",
 "Issue is Identified date unlikely",
 "Issue is Identified date invalid",
 "Issue is Basis of record invalid",
 "Issue is Type status invalid",
 "Issue is Multimedia date invalid",
 "Issue is Occurrence status unparsable",
 "Issue is Occurrence status inferred from individual count"
 ]
 },
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 2000-2020"
 ]
}

 The dataset includes 3675267 records from 139 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0148353-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cekx9z
title: Occurrence Download

description: A dataset containing 1691653 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Observation",
 "BasisOfRecord is Literature Occurrence"
 ]
 },
 {
 "or" : [
 "GadmGid is IND.16.3.2_1",
 "GadmGid is IND.16.3_1",
 "GadmGid is IND.36.11_1",
 "GadmGid is IND.25_1",
 "GadmGid is IND.25.1.1_1",
 "GadmGid is IND.20.17_1",
 "GadmGid is IND.31.2_1",
 "GadmGid is BGD.3.1_1",
 "GadmGid is BGD.5.7_1",
 "GadmGid is BGD.2.4_1",
 "GadmGid is PAK.8.2.1_1",
 "GadmGid is PAK.7.5.2_1",
 "GadmGid is PAK.7.7.4_1",
 "GadmGid is PAK.8.1.3_1",
 "GadmGid is PAK.5.8.3_1",
 "GadmGid is NPL.1.1.3_1",
 "GadmGid is BTN.14_1",
 "GadmGid is LKA.5.1_1",
 "GadmGid is AFG.14_1",
 "GadmGid is IRN.28_1",
 "GadmGid is PAK.4.1.1_1"
 ]
 },
 "OccurrenceStatus is Present",
 "Year 2000-2020"
 ]
}

 The dataset includes 1691653 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0138197-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.473389
title: Low resolution stable isotopes of ice core Taylor Dome

description: The delta 18O values were determined at the Quaternary Isotope Laboratory (M. Stuiver, Box 351360, University of Washington, Seattle WA 98195, USA). The time scale (st9507) was estimated from a correlation of delta 18O with the Vostok delta D record (Grootes et al. 1994; Steig, 1996). Between 0-340m the samples measured were of 1m cuts taken in the field. Each 1m core section was slabbed to provide a surface for ECM measurement; a thin slice was removed uniformly along the length for isotope analysis. From 340m to the bottom, sampling was done at the National Ice Core Lab at 0.5m lengths. Note that these core sections were shipped intact to NICL; they were not processed in the field.
DOI: 10.1594/pangaea.56063
title: Stacked and smoothed oxygen-isotope record as a function of age in the SPECMAP time scale (SPECMAPStack)
DOI: 10.18128/d060.v3.1
title: American Time Use Survey Data Extract Builder: Version 3.1

description: The American Time Use Survey Data Extract Builder (IPUMS ATUS) is a part of IPUMS Time Use, dedicated to making time use data easier for researchers to use. The American Time Use Survey (ATUS) ATUS is an ongoing annual time diary study, started in 2003, that is funded by the U.S. Bureau of Labor Statistics (BLS) and fielded by the U.S. Census Bureau. It provides detailed information about the activities in which respondents engage together with extensive information about the characteristics of those respondents and other members of their households. The ATUS is a general purpose survey that already has been used to study a diverse range of topics, including parent time with children, gender differences in time devoted to household work, household production over the life cycle and its implications for the well-being of elderly Americans, hours of paid work, and the effects of shift work on time for other activities, to name just a few. IPUMS ATUS is an online data access system and available free of charge to registered users at www.ipums.org/timeuse.
DOI: 10.6084/m9.figshare.27003352
title: Supplementary Material for: Efficacy of modern therapies for heart failure with reduced ejection fraction in specific population subgroups: a systematic review and network meta-analysis

description: Introduction: The efficacy and safety of emerging therapies for heart failure with reduced ejection fraction (HFrEF) have never been compared in specific subgroups of patients.
Methods: Pubmed, Cochrane Registry, Web of Science, Scopus and EMBASE libraries were used to extract data. We used the following keywords: (heart failure with reduced ejection fraction OR HFrEF) AND (treatment OR therapy) OR (cardiovascular death) OR (hospitalization for heart failure). We compared randomized clinical trials (RCTs) for HFrEF emerging therapies focusing on elderly (patients &gt; 65 years old and &gt; 75 years old), chronic kidney disease (CKD) (estimated glomerular filtration rate (eGFR) &lt; 60 ml/min), diabetic patients, ischemic patients, New York Heart Association (NYHA) class III/IV, female sex, patients on sacubitril/valsartan (S/V). The primary outcome was the efficacy composite endpoint of cardiovascular death (CVD) and HF hospitalization (HFH). 
Results: S/V significantly reduced the primary outcome in patients &gt; 65 years old (RR: 0.80; 95%CI: 0.68-0.94) and with CKD (RR: 0.79; 95%CI: 0.69-0.90); dapagliflozin in patients &gt;65 (RR: 0.72; 95%CI: 0.60-0.86) and &gt;75 years old (RR: 0.68; 95%CI: 0.53-0.87), in those with CKD (RR: 0.72; 95%CI: 0.59-0.88), diabetic (RR: 0.75; 95%CI: 0.63-0.89) and ischemic patients (RR: 0.77; 95%CI: 0.65-0.92); empagliflozin in patients &gt;65 years old (RR: 0.78; 95%CI: 0.66-0.93), diabetic (RR: 0.72; 95%CI: 0.60-0.86), ischemic (RR: 0.82; 95%CI: 0.68-0.99), female sex (RR: 0.59; 95%CI: 0.44-0.79) and in patients on S/V (RR: 0.64; 95%CI: 0.45-0.91); vericiguat in patients with CKD (RR: 0.84; 95%CI: 0.73-0.97) and NYHA class III/IV (RR: 0.87; 95%CI: 0.77-0.98); OM in ischemic (RR: 0.90; 95%CI:0.82-0.99) and NYHA III/IV (RR: 0.88; 95%CI: 0.80-0.97) patients. 
Conclusion: Emerging HFrEF therapies show a clinical benefit with the reduction of the primary composite endpoint of CVD and HFH, with each drug being more effective in specific patient population.
DOI: 10.17603/ds2d40h
title: LEAP-Asia-2018: Stress-strain response of Ottawa sand in Cyclic Torsional Shear Tests

description: The results of cyclic torsional shear tests performed at Kyoto University (KyU) to characterize the stress-strain-strength response of Ottawa F-65 sand are archived in this project. The experimental data presented here as well as the results of the cyclic direct simple shear tests conducted at the George Washington University for LEAP-Asia-2018 and the monotonic and cyclic triaxial tests conducted at GWU for LEAP-2015 and LEAP-2017 projects are provided to the numerical simulation teams who participate in the LEAP-Asia-2018 numerical simulation exercise. The numerical simulation teams use these results to calibrate the constitutive models that are used in the numerical simulations of LEAP-Asia-2018 centrifuge tests.
DOI: 10.5281/zenodo.12747463
title: M-Score: An Empirically Derived Software Modularity Metric

description: Anonymous upload for paper titled: "M-Score: An Empirically Derived Software Modularity Metric"
DOI: 10.25949/26308576
title: The use of the cost minimisation approach in Health Technology Assessment submissions to the Australian Pharmaceutical Benefits Advisory Committee

description: Data collected to support analysis of the use of the cost minimisation approach (CMA) in Health Technology Assessment submissions to the Australian Pharmaceutical Benefits Advisory Committee.
All public summary documents (PSD) available online from meetings between July 2005 and December 2022 (inclusive) were downloaded [1] and matched to the PBAC outcomes [2]. PSDs were searched for terminology related to cost minimisation ("cost-minimisation", "cost minimisation", and "CMA") for relevance to the research. Relevant PSDs were manually reviewed for inclusion criteria, including being a major submission (or category 1 and 2 between 2021 and 2022) using CMA for an eligible product type.
For eligible submissions, data was collected by a single reviewer through a holistic review of PSDs and subsequently supplemented by targeted keyword searches for validation. A second reviewer assessed accuracy for a 5% sample, which had 90% initial concordance. Differences were deliberated and resolved through consensus, resulting in the retention of 97% of the initially coded data.
<br>
<strong>Copyright Notice:</strong>
The Department of Health and Aged Care owns the copyright in the Pharmaceutical Benefits Advisory Committee Public Summary Documents and Outcomes. These materials are © Commonwealth of Australia, used under license. Permitted use of this data requires the inclusion of a copyright notice as follows: '© Commonwealth of Australia'.
<br>
<strong>Licence Exclusion:</strong>
The data comprised in the following columns are reproduced from material which is
© Commonwealth of Australia and are excluded from the CC BY-NC-SA licence:
- Matched Web Outcomes Text
- PBAC Outcomes column 1
- PBAC Outcomes column 2
- PBAC Outcomes column 3
- PBAC Outcomes column 4
- PBAC Outcomes column 5
- Reasons for rejection
This content has been reproduced for inclusion within this dataset with the express permission of the Australian Department of Health and Aged Care. The content cannot be further reproduced without the permission of the Australian Department of Health and Aged Care.<br>
DOI: 10.15468/dl.emcnnx
title: Occurrence Download

description: A dataset containing 438 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Living Specimen, Occurrence evidence, Observation, Machine Observation)",
 "CoordinateUncertaintyInMeters 0.0-26.0",
 "Geometry POLYGON((1.12464 38.55985,4.42203 38.55985,4.42203 40.15988,1.12464 40.15988,1.12464 38.55985))",
 "TaxonKey is one of (Poaceae, Helianthemum scopulicola L.Sáez, Rosselló & Alomar, Helichrysum panormitanum Tineo ex Guss., Primula vulgaris Hill, Euphorbia squamigera Loisel., Dianthus rupicola Biv., Thymelaea tartonraira (L.) All., Arenaria grandiflora Coss. ex Willk., Clinopodium rouyanum (Briq.) Govaerts, Sesleria insularis Sommier, Viola jaubertiana Marès & Vigin., Genista majorica Cantó & M.J.Sánchez, Laserpitium gallicum L., Brassica balearica Pers., Cephalaria squamiflora (Sieber) Greuter, Thymus richardii Pers., Lonicera pyrenaica Pall., Potentilla caulescens L., Pimpinella tragium Vill., Silene mollissima (L.) Pers., Helichrysum crassifolium (L.) D.Don, Bupleurum barceloi Coss. ex Willk., Globularia linifolia Lam., Teucrium cossonii D.Wood, Cheirolophus intybaceus (Lam.) Dostál, Lomelosia cretica (L.) Greuter & Burdet, Hippocrepis balearica Jacq.)",
 "Year 2010-2023"
 ]
}

 The dataset includes 438 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020481-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17864/1947.99
title: BIOME 6000 DB classified plotfile version 1

description: The file contains BIOME 6000 reconstructions of vegetation at 0, 6, and 21ka at individual sites, where the original published nomenclature for individual regions has been converted to a globally-applicable standardized classification (BIOME 6000 Consolidated Name). Two other standardized classifications are also given: common biome names between BIOME 6000 and the BIOME 4.2 model (BIOME 4.2 BIOME 6000 common names) and the megabiome scheme used by Harrison and Bartlein (2012) (MegaBiome Scheme 2). Additional information to translate BIOME 4.2 outputs into either BIOME 6000 Consolidated Names or BIOME 4.2 BIOME 6000 common names is also given.
description: Standardisation of biome reconstructions from pollen records
DOI: 10.5066/p9ezvduz
title: The Wildfire Hazard and Risk Assessment Inventory (ver. 2.0, September 2024)

description: The Department of the Interior (DOI) Office of Wildland Fire and USGS created the The Wildfire Hazard and Risk Assessment Inventory to meet the Monitoring, Maintenance, and Treatment Plan requirements under the Bipartisan Infrastructure Law (BIL). It provides an inventory of key national, regional, and state wildfire risk and fire hazard assessments useful for understanding different characterizations of fire risk. Some of the assessments may be useful for communicating contributions toward risk reduction of treatments funded by DOI, including investments under BIL. For each assessment, the inventory provides a description and information about the spatial extent, resolution, fire modeling approach, values considered (assets and resources), and vintage of LANDFIRE and fire data used. The aggregated data can help communicate treatment application priorities to DOI landscapes. In addition, this inventory recognizes that no assessment perfectly represents all lands, as risk assessment purposes, values at risk and methodology used create variation among the assessments.
DOI: 10.5281/zenodo.10686168
title: Scalable universal Ising machine enabled by interaction-centric storage and compute-in-memory technology
DOI: 10.4121/e338f9af-049a-45c9-bbf9-0cd1839489ce
title: Data underlying the publication: Roodmus: a toolkit for benchmarking heterogeneous electron cryo-microscopy reconstructions - Roodmus_DESRES-Trajectory_sarscov2-11021571-all-glueCA_single_conformation

description: <strong>Introduction</strong>data underlying the publication Roodmus: a toolkit for benchmarking heterogeneous electron cryo-microscopy reconstructions.Publication DOI: https://doi.org/10.1107/S2052252524009321Authors: M. Joosten, J. Greer, J. Parkhurst, T. Burnley, A.J. Jakobi<br><strong>Description</strong>SARS-CoV-2 spike glycoprotein synthetic cryo-EM micrographs. 10200 particles in 34 .mrc micrographs. single atomic model used is conformation_001000.pdb from dataset 'Roodmus_DESRES-Trajectory_sarscov2-11021571-all-glueCA'. Atomic models derived from molecular dynamics simulation adapted from "Molecular Dynamics Simulations Related to SARS-CoV-2," D. E. Shaw Research Technical Data, 2020.
DOI: 10.4121/fe5e7ef0-b6a5-49a4-a2cd-4ecb53edf83f
title: Data underlying the publication: Roodmus: a toolkit for benchmarking heterogeneous electron cryo-microscopy reconstructions - Roodmus_DESRES-Trajectory_sarscov2-11021571-all-glueCA_fractionated

description: <strong>Introduction</strong>data underlying the publilcation Roodmus: a toolkit for benchmarking heterogeneous electron cryo-microscopy reconstructions.Publication DOI: https://doi.org/10.1107/S2052252524009321Authors: M. Joosten, J. Greer, J. Parkhurst, T. Burnley, A.J. Jakobi<br><strong>Description</strong>SARS-CoV-2 spike glycoprotein synthetic cryo-EM movies. 20100 particles in 67 .mrc movies. Atomic models used can be found in dataset 'Roodmus_DESRES-Trajectory_sarscov2-11021571-all-glueCA'. Each movie consists of 30 frames with 45 e/A2 total. Atomic models derived from molecular dynamics simulation adapted from "Molecular Dynamics Simulations Related to SARS-CoV-2," D. E. Shaw Research Technical Data, 2020.
DOI: 10.5066/p9qtgsi7
title: Estimated nitrogen from septic for the conterminous United States, 2010 (SepN_CONUS_bg_2010)

description: This metadata record documents a rudimentary estimate of nitrogen from septic for the conterminous United States for 2010, derived from block-group 1990 and 2010 Decennial Census of Population and Housing data. Specifically, the data were computed from 1990 population and housing data where a ratio of the total population to the people on septic was obtained and applied to 2010 population data by block group. All input data were acquired from the National Historical Geographic Information System (NHGIS, Manson and others, 2017). The amount of nitrogen in pounds per person per year was derived from documentation supporting the Chesapeake Bay Program's Phase 5.3 Community Watershed Model (USEPA, 2010). The Supplemental Information element in this metadata record contains more detailed accounting of methods, sources, and limitations.
DOI: 10.5281/zenodo.10369268
title: Daily continental discharge data for Bay of Bengal
DOI: 10.6084/m9.figshare.27002788
title: Supplementary Material for: Dose-dependent relationship between iron metabolism and perioperative myocardial injury in cardiac surgery with cardiopulmonary bypass: A retrospective analysis

description: Introduction: We sought to comprehensively explore the potential linear and nonlinear relationship between preoperative iron metabolism and perioperative myocardial injury (PMI) following cardiac surgery with cardiopulmonary bypass (CPB).
Methods: Patients who underwent cardiac surgery with CPB between December 2018 and April 2021 were retrospectively collected. The measurements of iron metabolism included serum iron (SI), serum ferritin (SF), transferrin (TRF), transferrin saturation (TS), and total iron binding capacity (TIBC). Logistic regression and restricted cubic spline (RCS) models were used for linear and nonlinear analysis. The primary outcome was PMI with a 100x upper reference limit (URL).
Results: Of 2420 patients screened,744 eligible patients were enrolled for the final analysis. The incidence of PMI was 25.7%. No significant linear relationship was observed. In the RCS models adjusted with age (median:56), female, and history of diabetes, a statistically significant difference was detected between TRF (p for nonlinear 0.0152) or TIBC (p for nonlinear 0.0477) and PMI. The gentle U-shaped relationship observed between TRF, TIBC, and PMI suggests that when TRF and TIBC increase, the risk decreases, reaching its lowest point when TRF=2.4 and TIBC=54. Nevertheless, as TRF and TIBC continue to increase, the risk starts to rise again. Subgroup analyses yielded consistent findings, with a notable emphasis on older patients who were more susceptible to variations in iron metabolism.
Conclusion: Iron metabolism, including TRF, and TIBC, exhibited a nonlinear relationship with PMI by the RCS model adjusted by age, gender, and history of diabetes.
DOI: 10.15468/dl.v6r6x8
title: Occurrence Download

description: A dataset containing 197 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-83.16285 42.09327,-82.3829 41.7033,-79.06808 42.77574,-78.62936 43.55569,-76.48448 43.75068,-75.94826 44.77437,-79.94553 46.43178,-82.13916 46.28554,-82.3829 43.11697,-83.16285 42.09327))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Neohelix albolabris (Say, 1817)"
 ]
}

 The dataset includes 197 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0234591-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.