cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.16834492.v5
title: Gula & Barlow, Marabou colonies WAf

description: Known marabou stork nesting colonies in West Africa, historic and recent
DOI: 10.34740/kaggle/dsv/2783886
title: BART Ridership
DOI: 10.21227/mjfa-c357
title: Context-adaptive Graph Bike Flow Prediction Network for Public Transportation Infrastructure

description: The bike-sharing system is a crucial part of the new public transportation infrastructure. Stable management and dispatching measures are conducive to the orderly operation of urban public transportation infrastructure. The fundamental issue of managing bike-sharing systems is bike flow prediction. We published experimental data and results. We collect the trip data of Citi-Bike system in NYC, from 2019/1/1 to 2019/12/31. The data include: origin stations, destination stations (station ID, latitude and longitude), start time, and stop time.
DOI: 10.6084/m9.figshare.16944316.v1
title: Data for: Dynamics governing a simulated bow and arrow type mesoscale convective system. Resubmission to MWR

description: this is part of the dataset for the resubmission of the manuscript "Dynamics governing a simulated bow and arrow type mesoscale convective system" to MWR
DOI: 10.6084/m9.figshare.16944316
title: Data for: Dynamics governing a simulated bow and arrow type mesoscale convective system. Resubmission to MWR

description: this is part of the dataset for the resubmission of the manuscript "Dynamics governing a simulated bow and arrow type mesoscale convective system" to MWR
DOI: 10.5517/ccdc.csd.cc27trnh
title: CCDC 2080337: Experimental Crystal Structure Determination

description: Related Article: Juan P. Vizuet, Marie L. Mortensen, Abigail L. Lewis, Melissa A. Wunch, Hamid R. Firouzi, Gregory T. McCandless, Kenneth J. Balkus, Jr.|2021|J.Am.Chem.Soc.|143|17995|doi:10.1021/jacs.1c10493
DOI: 10.5517/ccdc.csd.cc284f1x
title: CCDC 2089618: Experimental Crystal Structure Determination

description: Related Article: Banruo Huang, Mufeng Wei, Emma Vargo, Yiwen Qian, Ting Xu, F. Dean Toste|2021|J.Am.Chem.Soc.|143|17920|doi:10.1021/jacs.1c06836
DOI: 10.5517/ccdc.csd.cc284f40
title: CCDC 2089621: Experimental Crystal Structure Determination

description: Related Article: Banruo Huang, Mufeng Wei, Emma Vargo, Yiwen Qian, Ting Xu, F. Dean Toste|2021|J.Am.Chem.Soc.|143|17920|doi:10.1021/jacs.1c06836
DOI: 10.5517/ccdc.csd.cc28cpmz
title: CCDC 2096611: Experimental Crystal Structure Determination

description: Related Article: Yanan Liu, Yu Fan, Chaoyi Hou, Wei Du, Dan Zhang, Yu Liu, Jiaqiang Xu, Yue-Ling Bai|2021|Inorg.Chem.|60|16370|doi:10.1021/acs.inorgchem.1c02185
DOI: 10.25505/fiz.icsd.cc255dqh
title: CSD 2001196: Experimental Crystal Structure Determination

description: Related Article: Joydeb Goura, Bassem Bassil, Xiang Ma, Ananthu Rajan, Eufemio Moreno-Pineda, Jürgen Schnack, Masooma Ibrahim, Annie Powell, Mario Ruben, Jingjing Wang, Laurent Ruhlmann, Ulrich Kortz|2021|Chem.-Eur.J.|27|15081|doi:10.1002/chem.202102973
DOI: 10.5517/ccdc.csd.cc28gqs8
title: CCDC 2099530: Experimental Crystal Structure Determination

description: Related Article: Daniel Pividori, Matthias E. Miehlich, Benedikt Kestel, Frank W. Heinemann, Andreas Scheurer, Michael Patzschke, Karsten Meyer|2021|Inorg.Chem.|60|16455|doi:10.1021/acs.inorgchem.1c02310
DOI: 10.5517/ccdc.csd.cc28gqt9
title: CCDC 2099531: Experimental Crystal Structure Determination

description: Related Article: Daniel Pividori, Matthias E. Miehlich, Benedikt Kestel, Frank W. Heinemann, Andreas Scheurer, Michael Patzschke, Karsten Meyer|2021|Inorg.Chem.|60|16455|doi:10.1021/acs.inorgchem.1c02310
DOI: 10.5517/ccdc.csd.cc28gqvb
title: CCDC 2099532: Experimental Crystal Structure Determination

description: Related Article: Daniel Pividori, Matthias E. Miehlich, Benedikt Kestel, Frank W. Heinemann, Andreas Scheurer, Michael Patzschke, Karsten Meyer|2021|Inorg.Chem.|60|16455|doi:10.1021/acs.inorgchem.1c02310
DOI: 10.5517/ccdc.csd.cc28gqwc
title: CCDC 2099533: Experimental Crystal Structure Determination

description: Related Article: Daniel Pividori, Matthias E. Miehlich, Benedikt Kestel, Frank W. Heinemann, Andreas Scheurer, Michael Patzschke, Karsten Meyer|2021|Inorg.Chem.|60|16455|doi:10.1021/acs.inorgchem.1c02310
DOI: 10.5517/ccdc.csd.cc28l399
title: CCDC 2102770: Experimental Crystal Structure Determination

description: Related Article: Wesley J. Olivier, Rasool BabaAhmadi, Nigel T. Lucas, Alireza Ariafard, Alex C. Bissember, Jason A. Smith|2021|Org.Lett.|23|8494|doi:10.1021/acs.orglett.1c03205
DOI: 10.6084/m9.figshare.16944344
title: Additional file 2 of Characterization of mitochondrial DNA quantity and quality in the human aged and Alzheimer’s disease brain

description: Additional file 2. Supplementary Excel File 1 contains DNA sequencing quality metrics, estimated raw and normalized mtDNAcn, estimated heteroplasmy levels, and phenotype information for all samples from the ROSMAP, Mayo Clinic, and MSBB studies.
DOI: 10.6084/m9.figshare.16944344.v1
title: Additional file 2 of Characterization of mitochondrial DNA quantity and quality in the human aged and Alzheimer’s disease brain

description: Additional file 2. Supplementary Excel File 1 contains DNA sequencing quality metrics, estimated raw and normalized mtDNAcn, estimated heteroplasmy levels, and phenotype information for all samples from the ROSMAP, Mayo Clinic, and MSBB studies.
DOI: 10.6084/m9.figshare.16944347
title: Additional file 3 of Characterization of mitochondrial DNA quantity and quality in the human aged and Alzheimer’s disease brain

description: Additional file 3. Supplementary Excel File 2 contains detailed results from the analysis of the 81 candidate SNPs and their effects on mtDNAcn.
DOI: 10.6084/m9.figshare.16944347.v1
title: Additional file 3 of Characterization of mitochondrial DNA quantity and quality in the human aged and Alzheimer’s disease brain

description: Additional file 3. Supplementary Excel File 2 contains detailed results from the analysis of the 81 candidate SNPs and their effects on mtDNAcn.
DOI: 10.6084/m9.figshare.16944350
title: Additional file 4 of Characterization of mitochondrial DNA quantity and quality in the human aged and Alzheimer’s disease brain

description: Additional file 4. Supplementary Excel File 3 lists the proteins that were used to derive the protein scores for the respiratory chain complexes.
DOI: 10.6084/m9.figshare.16944350.v1
title: Additional file 4 of Characterization of mitochondrial DNA quantity and quality in the human aged and Alzheimer’s disease brain

description: Additional file 4. Supplementary Excel File 3 lists the proteins that were used to derive the protein scores for the respiratory chain complexes.
DOI: 10.6084/m9.figshare.16944614.v1
title: Additional file 1 of The evolution of clot strength in critically-ill COVID-19 patients: a prospective observational thromboelastography study

description: Additional file 1: Figure 1. Detailed thromboelastography tracings for the pulmonary haemorrhage patient. Figure 2. Detailed thromboelastography tracings for the epistaxis patient. Figure 3. Detailed thromboelastography tracings for the intracranial haemorrhage patient. Figure 4. Detailed thromboelastography tracing for the patient with a deep venous thrombosis. Figure 5. Detailed thromboelastography tracing of the patient with a cardiac thrombus. Figure 6. Detailed thromboelastography tracing for the pulmonary embolus patient.
DOI: 10.6084/m9.figshare.16944588.v1
title: Additional file 10 of Evidence on the impact of Baltic Sea ecosystems on human health and well-being: a systematic map

description: Additional file 10. Cluster analysis Figure 15.
DOI: 10.6084/m9.figshare.16944594.v1
title: Additional file 12 of Evidence on the impact of Baltic Sea ecosystems on human health and well-being: a systematic map

description: Additional file 12. Heatmap_Figure 17.
DOI: 10.6084/m9.figshare.16944591.v1
title: Additional file 11 of Evidence on the impact of Baltic Sea ecosystems on human health and well-being: a systematic map

description: Additional file 11. Heatmap_Figure 16.
DOI: 10.6084/m9.figshare.16944603.v1
title: Additional file 3 of Evidence on the impact of Baltic Sea ecosystems on human health and well-being: a systematic map

description: Additional file 3. Search strings for all sources.
DOI: 10.6084/m9.figshare.16944606.v1
title: Additional file 4 of Evidence on the impact of Baltic Sea ecosystems on human health and well-being: a systematic map

description: Additional file 4. Excluded articles.
DOI: 10.6084/m9.figshare.16944609.v1
title: Additional file 5 of Evidence on the impact of Baltic Sea ecosystems on human health and well-being: a systematic map

description: Additional file 5. Included articles.
DOI: 10.6084/m9.figshare.16944615.v1
title: Additional file 7 of Evidence on the impact of Baltic Sea ecosystems on human health and well-being: a systematic map

description: Additional file 7. Cluster analysis Figure 12.
DOI: 10.6084/m9.figshare.16944618.v1
title: Additional file 8 of Evidence on the impact of Baltic Sea ecosystems on human health and well-being: a systematic map

description: Additional file 8. Heatmap_Figure 13.
DOI: 10.6084/m9.figshare.16944621.v1
title: Additional file 9 of Evidence on the impact of Baltic Sea ecosystems on human health and well-being: a systematic map

description: Additional file 9. Heatmap_Figure 14.
DOI: 10.6084/m9.figshare.16944623.v1
title: Additional file 1 of Improving assessment of acute obstetric patients – introducing a Swedish obstetric triage system

description: Additional file 1: Table S1. Summary of semi-structured literature review on obstetric (Ob) triage
DOI: 10.6084/m9.figshare.16944563.v1
title: Additional file 9 of Long-term dynamics of the human oral microbiome during clinical disease progression

description: Additional File 9: jupyter notebook. The notebook contains all code and software used to process and analyze the data are available as a fully reproducible computing environment in the jupyter notebook, which is a .ipynb file that can be launched typing the command jupyter notebook on a terminal on the directory that contains the notebook. The software needed can be installed using pip (pip install notebook) or conda (conda install -c conda-forge notebook).
DOI: 10.6084/m9.figshare.16944560.v1
title: Additional file 8 of Long-term dynamics of the human oral microbiome during clinical disease progression

description: Additional File 8: Table S3. Clinical measurements of the sites used in the study.
DOI: 10.6084/m9.figshare.16944557.v1
title: Additional file 7 of Long-term dynamics of the human oral microbiome during clinical disease progression

description: Additional File 7: Table S2. Species composition of clusters presented in Fig. 5.
DOI: 10.6084/m9.figshare.16944551.v1
title: Additional file 5 of Long-term dynamics of the human oral microbiome during clinical disease progression

description: Additional File 5: Table S1. Taxa’s role in the network cartography as shown in Fig. 3.
DOI: 10.6084/m9.figshare.16944534.v1
title: Additional file 2 of Exceptionally simple, rapidly replaced teeth in sauropod dinosaurs demonstrate a novel evolutionary strategy for herbivory in Late Jurassic ecosystems

description: Additional file 2. OPCR values for each genus and theropod morphotype.
DOI: 10.6084/m9.figshare.16944524.v1
title: Additional file 1 of Non-genetic inheritance of environmental exposures: a protocol for a map of systematic reviews with bibliometric analysis

description: Additional file 1: Appendix S1. ROSES checklist. Completed ROSES checklist.
DOI: 10.6084/m9.figshare.16944522.v1
title: Additional file 1 of COVID-19 vaccine uptake among health care workers in Ghana: a case for targeted vaccine deployment campaigns in the global south

description: Additional file 1: Table S1. Verbatim reasons cited for unwillingness to participate in a COVID-19 vaccine Trial and uptake the vaccine.
DOI: 10.5066/p9xfty06
title: Geospatial Datasets for Watershed Delineation Used in the Development of the USGS StreamStats Application for Puerto Rico

description: The U.S. Geological Survey (USGS), in cooperation with the Puerto Rico Environmental Quality Board, has compiled a series of geospatial datasets for Puerto Rico to be implemented into the USGS StreamStats application (https://streamstats.usgs.gov/ss/). These geospatial datasets, along with basin characteristics datasets for Puerto Rico published as a separate USGS data release (https://doi.org/10.5066/P9HK9SSQ), were used to delineate watersheds and develop the peak-flow and low-flow regression equations used by StreamStats.
DOI: 10.6084/m9.figshare.16944476.v1
title: Additional file 2 of Paediatric obesity: a systematic review and pathway mapping of metabolic alterations underlying early disease processes

description: Additional file 2. Table S1. Database including all data extracted from selected studies. Database concerning altered metabolites in paediatric patients with overweight and obesity in separate excel file, including first author and title, year of publication, continent, country of the study, study design, sample size, diagnostic criteria, characteristics of the study populations (age, Tanner stage and sex), analytical technique, biological matrix studied and quantitative findings, if these were available.
DOI: 10.6084/m9.figshare.16944443.v1
title: Additional file 2 of Reporting of methods to prepare, pilot and perform data extraction in systematic reviews: analysis of a sample of 152 Cochrane and non-Cochrane reviews

description: Additional file 2. Study selection sheet.
DOI: 10.5066/p9hk9ssq
title: Basin Characteristic Rasters for Puerto Rico StreamStats, 2021

description: In cooperation with the Puerto Rico Environmental Quality Board, the U.S. Geological Survey (USGS) calculated over 40 different basin characteristics as part of preparing the Puerto Rico StreamStats application. These data were used to update the peak flow and low flow regression equations for Puerto Rico. These datasets are raster representations of various environmental, geological, and land use attributes within the Puerto Rico StreamStats 2020 study area, and will be served in the Puerto Rico StreamStats 2020 application to describe delineated watersheds. The StreamStats application provides access to spatial analytical tools that are useful for water-resources planning and management, and for engineering and design purposes. The map-based user interface can be used to delineate drainage areas, retrieve basin characteristics and estimates of flow statistics, and more.
DOI: 10.6084/m9.figshare.16944623
title: Additional file 1 of Improving assessment of acute obstetric patients – introducing a Swedish obstetric triage system

description: Additional file 1: Table S1. Summary of semi-structured literature review on obstetric (Ob) triage
DOI: 10.6084/m9.figshare.16944621
title: Additional file 9 of Evidence on the impact of Baltic Sea ecosystems on human health and well-being: a systematic map

description: Additional file 9. Heatmap_Figure 14.
DOI: 10.6084/m9.figshare.16944618
title: Additional file 8 of Evidence on the impact of Baltic Sea ecosystems on human health and well-being: a systematic map

description: Additional file 8. Heatmap_Figure 13.
DOI: 10.6084/m9.figshare.16944615
title: Additional file 7 of Evidence on the impact of Baltic Sea ecosystems on human health and well-being: a systematic map

description: Additional file 7. Cluster analysis Figure 12.
DOI: 10.6084/m9.figshare.16944614
title: Additional file 1 of The evolution of clot strength in critically-ill COVID-19 patients: a prospective observational thromboelastography study

description: Additional file 1: Figure 1. Detailed thromboelastography tracings for the pulmonary haemorrhage patient. Figure 2. Detailed thromboelastography tracings for the epistaxis patient. Figure 3. Detailed thromboelastography tracings for the intracranial haemorrhage patient. Figure 4. Detailed thromboelastography tracing for the patient with a deep venous thrombosis. Figure 5. Detailed thromboelastography tracing of the patient with a cardiac thrombus. Figure 6. Detailed thromboelastography tracing for the pulmonary embolus patient.
DOI: 10.6084/m9.figshare.16944609
title: Additional file 5 of Evidence on the impact of Baltic Sea ecosystems on human health and well-being: a systematic map

description: Additional file 5. Included articles.
DOI: 10.6084/m9.figshare.16944606
title: Additional file 4 of Evidence on the impact of Baltic Sea ecosystems on human health and well-being: a systematic map

description: Additional file 4. Excluded articles.
DOI: 10.6084/m9.figshare.16944603
title: Additional file 3 of Evidence on the impact of Baltic Sea ecosystems on human health and well-being: a systematic map

description: Additional file 3. Search strings for all sources.
DOI: 10.6084/m9.figshare.16944594
title: Additional file 12 of Evidence on the impact of Baltic Sea ecosystems on human health and well-being: a systematic map

description: Additional file 12. Heatmap_Figure 17.
DOI: 10.6084/m9.figshare.16944591
title: Additional file 11 of Evidence on the impact of Baltic Sea ecosystems on human health and well-being: a systematic map

description: Additional file 11. Heatmap_Figure 16.
DOI: 10.6084/m9.figshare.16944588
title: Additional file 10 of Evidence on the impact of Baltic Sea ecosystems on human health and well-being: a systematic map

description: Additional file 10. Cluster analysis Figure 15.
DOI: 10.6084/m9.figshare.16944563
title: Additional file 9 of Long-term dynamics of the human oral microbiome during clinical disease progression

description: Additional File 9: jupyter notebook. The notebook contains all code and software used to process and analyze the data are available as a fully reproducible computing environment in the jupyter notebook, which is a .ipynb file that can be launched typing the command jupyter notebook on a terminal on the directory that contains the notebook. The software needed can be installed using pip (pip install notebook) or conda (conda install -c conda-forge notebook).
DOI: 10.6084/m9.figshare.16944560
title: Additional file 8 of Long-term dynamics of the human oral microbiome during clinical disease progression

description: Additional File 8: Table S3. Clinical measurements of the sites used in the study.
DOI: 10.6084/m9.figshare.16944557
title: Additional file 7 of Long-term dynamics of the human oral microbiome during clinical disease progression

description: Additional File 7: Table S2. Species composition of clusters presented in Fig. 5.
DOI: 10.6084/m9.figshare.16944551
title: Additional file 5 of Long-term dynamics of the human oral microbiome during clinical disease progression

description: Additional File 5: Table S1. Taxa’s role in the network cartography as shown in Fig. 3.
DOI: 10.6084/m9.figshare.16944534
title: Additional file 2 of Exceptionally simple, rapidly replaced teeth in sauropod dinosaurs demonstrate a novel evolutionary strategy for herbivory in Late Jurassic ecosystems

description: Additional file 2. OPCR values for each genus and theropod morphotype.
DOI: 10.6084/m9.figshare.16944525
title: Additional file 1 of BRAF V600E mutation is associated with aggressive features in papillary thyroid carcinomas ≤ 1.5 cm

description: Additional file 1. Appendix 1: Full data set of 121 patients included in the study.
DOI: 10.6084/m9.figshare.16944524
title: Additional file 1 of Non-genetic inheritance of environmental exposures: a protocol for a map of systematic reviews with bibliometric analysis

description: Additional file 1: Appendix S1. ROSES checklist. Completed ROSES checklist.
DOI: 10.6084/m9.figshare.16944522
title: Additional file 1 of COVID-19 vaccine uptake among health care workers in Ghana: a case for targeted vaccine deployment campaigns in the global south

description: Additional file 1: Table S1. Verbatim reasons cited for unwillingness to participate in a COVID-19 vaccine Trial and uptake the vaccine.
DOI: 10.5066/f77w698b
title: BioData - Aquatic Bioassessment Data for the Nation

description: The U.S. Geological Survey (USGS) BioData system provides access to over 15,000 fish, benthic macroinvertebrate, and periphyton community samples and associated habitat data collected by USGS scientists from over 2,000 locations across the nation. The data were collected by a variety of USGS programs and projects for the purpose of describing aquatic communities in streams and rivers - most often in the course of conducting bioassessment and biomonitoring projects and research.
DOI: 10.6084/m9.figshare.16944476
title: Additional file 2 of Paediatric obesity: a systematic review and pathway mapping of metabolic alterations underlying early disease processes

description: Additional file 2. Table S1. Database including all data extracted from selected studies. Database concerning altered metabolites in paediatric patients with overweight and obesity in separate excel file, including first author and title, year of publication, continent, country of the study, study design, sample size, diagnostic criteria, characteristics of the study populations (age, Tanner stage and sex), analytical technique, biological matrix studied and quantitative findings, if these were available.
DOI: 10.6084/m9.figshare.16944443
title: Additional file 2 of Reporting of methods to prepare, pilot and perform data extraction in systematic reviews: analysis of a sample of 152 Cochrane and non-Cochrane reviews

description: Additional file 2. Study selection sheet.
DOI: 10.5066/p991l1zr
title: Random forest regression model and prediction rasters of fluoride in groundwater in basin-fill aquifers of western United States

description: A random forest regression (RFR) model was developed to predict groundwater fluoride concentrations in four western United Stated principal aquifers - California Coastal basin-fill aquifers, Central Valley aquifer system, Basin and Range basin-fill aquifers, and the Rio Grande aquifer system. The selected basin-fill aquifers are a vital resource for drinking-water supplies. The RFR model was developed with a dataset of over 12,000 wells sampled for fluoride between 2000 and 2018. This data release provides rasters of predicted fluoride concentrations at depth typical of domestic and public supply wells in the selected basin-fill aquifers and includes the final RFR model that documents the prediction modeling process and verifies and reproduces the model fit metrics and mapped predictions in the accompanying publication. Included in this data release are 1) a model archive of the R project including source code, input files (model training and testing data and rasters of predictor variables), output files (rasters of predicted fluoride at depth typical of domestic and supply wells, respectively), 2) a read_me file describing the model archive and explanation of use, 3) a Supporting_GIS_information.csv file describing model variables and source data, and 4), this metadata record.
DOI: 10.5066/p97p56sk
title: Data Release for Reconstructing paleohydrology in the northwest Great Basin since the last deglaciation using Paisley Caves fish remains (Oregon, U.S.A.)

description: This dataset includes tables of stratigraphic age-depth information for Paisley Caves 2 and 5, in Oregon U.S.A., along with tables of fish bone abundance and stable and strontium isotopic data for fish remains and geological samples from the study area surrounding the Paisley Caves.