cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc27vw11
title: CCDC 2081403: Experimental Crystal Structure Determination

description: Related Article: James D. Nobbs, Dillon Wei Peng Tay, Yoon Hui Yeap, Yong Lun Tiong, Suming Ye, Srinivasulu Aitipamula, Cun Wang, Choon Boon Cheong, Martin van Meurs|2023|Dalton Trans.|52|17954|doi:10.1039/D3DT02577B
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: 10.34740/kaggle/dsv/7157990
title: WallStreetBets 2022
DOI: 10.6084/m9.figshare.24778452
title: Single-cell RNA sequencing of human kidney

description: A comprehensive cellular anatomy of normal human kidney is crucial to address the cellular origins of renal disease and renal cancer. Some kidney diseases may be cell type-specific, especially renal tubular cells. To investigate the classification and transcriptomic information of human kidney, we performed a method to obtain single-cell suspension of kidney rapidly, and conducted single-cell RNA sequencing (scRNA-seq). We present scRNA-seq data of 23,366 high quality cells from human kidneys of 3 donors. In this dataset, we show 10 clusters of normal human renal cells. Due to the high quality of single cell transcriptomic information, proximal tubule (PT) cells were classified into 3 subtypes and collecting ducts cells into 2 subtypes. Collectively, our data will provide a reliable reference for the studies of renal cell biology and kidney diseases.
DOI: 10.6084/m9.figshare.24778452.v1
title: Single-cell RNA sequencing of human kidney

description: A comprehensive cellular anatomy of normal human kidney is crucial to address the cellular origins of renal disease and renal cancer. Some kidney diseases may be cell type-specific, especially renal tubular cells. To investigate the classification and transcriptomic information of human kidney, we performed a method to obtain single-cell suspension of kidney rapidly, and conducted single-cell RNA sequencing (scRNA-seq). We present scRNA-seq data of 23,366 high quality cells from human kidneys of 3 donors. In this dataset, we show 10 clusters of normal human renal cells. Due to the high quality of single cell transcriptomic information, proximal tubule (PT) cells were classified into 3 subtypes and collecting ducts cells into 2 subtypes. Collectively, our data will provide a reliable reference for the studies of renal cell biology and kidney diseases.
DOI: 10.5281/zenodo.10155536
title: DPNNET image data
DOI: 10.5281/zenodo.10155535
title: DPNNET image data
DOI: 10.5281/zenodo.10311986
title: DPNNET image data
DOI: 10.5281/zenodo.10279862
title: Dataset
DOI: 10.5281/zenodo.10279863
title: Dataset
DOI: 10.5281/zenodo.10287222
title: DisocrdReplicationPackageData
DOI: 10.5281/zenodo.10287223
title: DisocrdReplicationPackageData
DOI: 10.34740/kaggle/ds/4134004
title: RedditMix - Food
DOI: 10.5517/ccdc.csd.cc2h15b2
title: CCDC 2295033: Experimental Crystal Structure Determination

description: Related Article: Shu-Ling Sie, Surabhi Kamal, Zong-Zhan Lu, Ling-Fang Wei, Tzuoo-Tsair Luo, Yen-Hsiang Liu, Chao-Wan Chang, Kai-Ming Chi, Kuang-Lieh Lu|2023|CrystEngComm|25|6635|doi:10.1039/D3CE01001E
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.cc2h9ls6
title: CCDC 2303138: Experimental Crystal Structure Determination

description: Related Article: Mikhail A. Arsenov, Nadezhda V. Stoletova, Alexander F. Smol'yakov, Tat'yana F. Savel'yeva, Victor I. Maleev, Dmitry A. Loginov, Vladimir A. Larionov|2023|Org.Biomol.Chem.|21|9143|doi:10.1039/D3OB01513K
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.cc2gzqz5
title: CCDC 2293658: Experimental Crystal Structure Determination

description: Related Article: Apurba Mandal, Rohit Rai, Sukanta Saha, Rajesh Kushwaha, Li Wei, Hemonta Gogoi, Arif Ali Mandal, Ashish Kumar Yadav, Huayi Huang, Arnab Dutta, Prodyut Dhar, Samya Banerjee|2023|Dalton Trans.|52|17562|doi:10.1039/D3DT02967K
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.cc2gzr6f
title: CCDC 2293665: Experimental Crystal Structure Determination

description: Related Article: Apurba Mandal, Rohit Rai, Sukanta Saha, Rajesh Kushwaha, Li Wei, Hemonta Gogoi, Arif Ali Mandal, Ashish Kumar Yadav, Huayi Huang, Arnab Dutta, Prodyut Dhar, Samya Banerjee|2023|Dalton Trans.|52|17562|doi:10.1039/D3DT02967K
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.cc2gzr7g
title: CCDC 2293666: Experimental Crystal Structure Determination

description: Related Article: Apurba Mandal, Rohit Rai, Sukanta Saha, Rajesh Kushwaha, Li Wei, Hemonta Gogoi, Arif Ali Mandal, Ashish Kumar Yadav, Huayi Huang, Arnab Dutta, Prodyut Dhar, Samya Banerjee|2023|Dalton Trans.|52|17562|doi:10.1039/D3DT02967K
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.cc2h1qq0
title: CCDC 2295572: Experimental Crystal Structure Determination

description: Related Article: Long-Hui Wu, Xia Liu, Zhao-Wen Liu, Zhi-Xi Chen, Xin-Lei Fu, Kai Yang|2023|Org.Biomol.Chem.|21|9236|doi:10.1039/D3OB01582C
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: 10.7274/24778836
title: Relative Relationship Ontology Design Pattern

description: OWL Web Ontology Language File for the Relative Relationship Ontology Design Pattern in a XML serialization. The purpose of the dynamically conceptualizing, establishing, tracking, and updating relative relationships and dependencies between entities (real or representational) of a physical, temporal, and/or importance scope. The pattern is part of a peer reviewed long paper submission to the Workshop on Ontology and Semantic Web Patterns (6th edition) - WOP2015. http://ontologydesignpatterns.org/wiki/WOP:2015 More information can be found at http://ontologydesignpatterns.org/wiki/Submissions:RelativeRelationship.
DOI: 10.7274/24778836.v1
title: Relative Relationship Ontology Design Pattern

description: OWL Web Ontology Language File for the Relative Relationship Ontology Design Pattern in a XML serialization. The purpose of the dynamically conceptualizing, establishing, tracking, and updating relative relationships and dependencies between entities (real or representational) of a physical, temporal, and/or importance scope. The pattern is part of a peer reviewed long paper submission to the Workshop on Ontology and Semantic Web Patterns (6th edition) - WOP2015. http://ontologydesignpatterns.org/wiki/WOP:2015 More information can be found at http://ontologydesignpatterns.org/wiki/Submissions:RelativeRelationship.
DOI: 10.6084/m9.figshare.24778847
title: Occupational therapy and cooking: A scoping review and future directions

description: Occupational therapy (OT) has historically used cooking as an intervention and assessment approach across settings. Current practices in OT and the emergence of the multidisciplinary field of culinary medicine highlight the relationship between cooking and health. To map the current literature on OT and cooking and to identify key factors that may facilitate collaboration within culinary medicine. We conducted a scoping review using the Joanna Briggs Institute methodology to identify primary contexts and clinical settings. Publications were analysed using framework thematic analysis to identify OT themes and roles. A total of 56 studies met the criteria for inclusion. The majority of studies (<i>n</i> = 29, 53%) represented home/community settings and brain injury was the largest clinical group (<i>n</i> = 15, 27%). Primary themes related to person (<i>n</i> = 47, 43%), occupation (<i>n</i> = 30 (28%), environment (<i>n</i> = 19, 17%), and psychosocial wellbeing (<i>n</i> = 13, 12%). The primary OT role identified was that of interventionist (<i>n</i> = 48, 86%). OT’s holistic practice places cooking within a larger context that can help identify and overcome the barriers to participation. Findings support multiple pathways in which OT can contribute to cooking initiatives for health promotion and potentially expand OT practice in population health.
DOI: 10.6084/m9.figshare.24778847.v1
title: Occupational therapy and cooking: A scoping review and future directions

description: Occupational therapy (OT) has historically used cooking as an intervention and assessment approach across settings. Current practices in OT and the emergence of the multidisciplinary field of culinary medicine highlight the relationship between cooking and health. To map the current literature on OT and cooking and to identify key factors that may facilitate collaboration within culinary medicine. We conducted a scoping review using the Joanna Briggs Institute methodology to identify primary contexts and clinical settings. Publications were analysed using framework thematic analysis to identify OT themes and roles. A total of 56 studies met the criteria for inclusion. The majority of studies (<i>n</i> = 29, 53%) represented home/community settings and brain injury was the largest clinical group (<i>n</i> = 15, 27%). Primary themes related to person (<i>n</i> = 47, 43%), occupation (<i>n</i> = 30 (28%), environment (<i>n</i> = 19, 17%), and psychosocial wellbeing (<i>n</i> = 13, 12%). The primary OT role identified was that of interventionist (<i>n</i> = 48, 86%). OT’s holistic practice places cooking within a larger context that can help identify and overcome the barriers to participation. Findings support multiple pathways in which OT can contribute to cooking initiatives for health promotion and potentially expand OT practice in population health.
DOI: 10.5281/zenodo.10312902
title: Dataset
DOI: 10.5281/zenodo.10312901
title: Dataset
DOI: 10.21227/46at-8d94
title: Wireless Holter Monitor Cardiac Patients Dataset

description: The dataset encompasses an extensive collection of patient information, delving into their comprehensive medical background, encompassing a myriad of features that encapsulate not only the physical but also the mental and emotional states. Furthermore, the dataset is enriched with invaluable ECG data derived from the patients. Moreover, our dataset boasts additional features meticulously extracted from the ECG records, thereby enhancing the potential for our machine learning model to undergo more effective training with our rich and diverse data. It is noteworthy that the initial column in the dataset serves a binary function, distinctly indicating whether the patient has been diagnosed with cardiac diseases or not. This crucial attribute not only serves as a fundamental element of our dataset structure but also plays a pivotal role in guiding the predictive capabilities of the machine learning model.
DOI: 10.5281/zenodo.10312949
title: Discord_Communication_Data
DOI: 10.5281/zenodo.10312950
title: Discord_Communication_Data
DOI: 10.5281/zenodo.10310520
title: Atmospheric Surface Flux Station #50 measurements (level 1 Raw), Study of Precipitation, the Lower Atmosphere and Surface for Hydrometeorology (SPLASH), October 2021-June 2023

description: Raw (Level 1) measurements from the Atmospheric Surface Flux Station #50 (ASFS-50) deployed at the Avery Picnic site (38°58.3455' N, 106°59.8113' W) during the Study of Precipitation, the Lower Atmosphere, and Surface for Hydrometeorology (SPLASH) campaign near Gothic, Colorado, from October 2021 through June 2023. The ASFS measured variables comprising the surface energy budget, surface momentum flux, near-surface meteorology, and soil properties.  These measurements are included in three netCDF files per day. The "slow" files are for 1-minute averages of the measured variables, including near-surface meteorology, surface height change (due to accumulating/ablating snow), and upwelling and downwelling shortwave and longwave radiative fluxes. The "fast" files are for data at 20 Hz resolution including 3-dimensional wind, temperature, and gas concentrations of water vapor and carbon dioxide. These data are raw measurements with technical corrections applied but no quality assurance. A detailed documentation of the measurement will be provided in a forthcoming publication. For scientific purposes, we recommend using the Level 2 data files when they are available, as these will include full quality control as well as higher-order derived products.
DOI: 10.7274/24738651
title: SUMO_behavioralData_RhilingerThesis

description: Behavioral data for Josh Rhilinger's Senior Thesis on the behavioral-only control subjects for the SUMO project.
DOI: 10.7274/24738651.v1
title: SUMO_behavioralData_RhilingerThesis

description: Behavioral data for Josh Rhilinger's Senior Thesis on the behavioral-only control subjects for the SUMO project.
DOI: 10.21947/2228699
title: AWAKEN Virtual Tower / Derived Data

description: Virtual tower data consist of profiles of wind speed and direction at a number of locations near the A1 site. These profiles were computed from dual-Doppler analysis of two Halo XR+ scanning Doppler lidars located at sites A5 and A7. Both lidars performed shallow RHI scans in the general direction of the A1 site. Scan azimuths were periodically adjusted to sample different locations. This resulted in a total of 14 unique tower locations over 5 periods between 12 November 2022 and 17 October 2023.
DOI: 10.21947/2228700
title: AWAKEN Virtual Tower / Derived Data

description: Virtual tower data consist of profiles of wind speed and direction at a number of locations near the A1 site. These profiles were computed from dual-Doppler analysis of two Halo XR+ scanning Doppler lidars located at sites A5 and A7. Both lidars performed shallow RHI scans in the general direction of the A1 site. Scan azimuths were periodically adjusted to sample different locations. This resulted in a total of 14 unique tower locations over 5 periods between 12 November 2022 and 17 October 2023.
DOI: 10.21947/2228701
title: AWAKEN Virtual Tower / Derived Data

description: Virtual tower data consist of profiles of wind speed and direction at a number of locations near the A1 site. These profiles were computed from dual-Doppler analysis of two Halo XR+ scanning Doppler lidars located at sites A5 and A7. Both lidars performed shallow RHI scans in the general direction of the A1 site. Scan azimuths were periodically adjusted to sample different locations. This resulted in a total of 14 unique tower locations over 5 periods between 12 November 2022 and 17 October 2023.
DOI: 10.21947/2228702
title: AWAKEN Virtual Tower / Derived Data

description: Virtual tower data consist of profiles of wind speed and direction at a number of locations near the A1 site. These profiles were computed from dual-Doppler analysis of two Halo XR+ scanning Doppler lidars located at sites A5 and A7. Both lidars performed shallow RHI scans in the general direction of the A1 site. Scan azimuths were periodically adjusted to sample different locations. This resulted in a total of 14 unique tower locations over 5 periods between 12 November 2022 and 17 October 2023.
DOI: 10.21947/2228703
title: AWAKEN Virtual Tower / Derived Data

description: Virtual tower data consist of profiles of wind speed and direction at a number of locations near the A1 site. These profiles were computed from dual-Doppler analysis of two Halo XR+ scanning Doppler lidars located at sites A5 and A7. Both lidars performed shallow RHI scans in the general direction of the A1 site. Scan azimuths were periodically adjusted to sample different locations. This resulted in a total of 14 unique tower locations over 5 periods between 12 November 2022 and 17 October 2023.
DOI: 10.5281/zenodo.10306094
title: GLAB-VOD: Global L-band AI-Based Vegetation Optical Depth Dataset Based on Machine Learning and Remote Sensing

description: GLAB VOD is a Global L-band Ai-Based vegetation optical depth dataset with 18-day temporal and 25 km spatial resolution, covering 2002 to 2020. The dataset is created using a neural network with SMOS-SMAP-INRAE-BORDEAUX (SMOSMAP-IB) VOD product as a target (over 2015-2020) and brightness temperatures (TB) from the SMOS, AMSR-E, and AMSR-2 spaceborne missions alongside with a novel soil moisture dataset (CASM) as inputs. The GLAB-VOD dataset was created using a recently developed methodology previously used to create a long-term consistent soil moisture dataset CASM, adapted to the  VOD retrievals. First, the TB and VOD signals were divided into fixed seasonal cycle and residuals, where the residual part of the signal contains sub-seasonal periodic signals, trends, extremes, and noise. Then, a multi-staged neural network training scheme was used to achieve internally consistent predictions by merging data from different sources without introducing biases or compromising data distribution. A side-product of this project is GLAB TB - a global long-term brightness temperature dataset that matches SMOS TB quality and spawns back to 2002. GLAB TB has daily temporal resolution and 25 km spatial resolution.
DOI: 10.21948/2229021
title: PV Module BOM and Test Data

description: This dataset contains compiled results from annual PV Module Reliability Scorecards published by PV Evolution Labs – also known as PVEL. These scorecards show summary results of PV module testing performed by PVEL and name specific models of PV modules as "Top Performers" in various tests. Full details on testing, Top Performer status and other criteria for inclusion in Scorecards are documented in reports and online documentation available from https://www.modulescorecard.pvel.com. This dataset is not affiliated with PVEL and is intended only to simplify sorting and filtering Scorecard data and finding specific PV module models and Top Performer results. Note that data included in Scorecards has evolved over time, so not all data is available for all years, and testing protocols and Scorecard criteria have been changed over time.
DOI: 10.21947/2229030
title: WFIP3 - BLOC site - CU Profiling Lidar (Windcube v1) / Derived data

description: This dataset contains derived data from the CU Boulder WFIP3 BLOC site WindCube v1 Profiling Lidar.
DOI: 10.25584/2229135
title: Alternative Splicing Events

description: Inclusion levels of alternative splicing (AS) events of five different varieties (i.e. skipped exon (SE), retained intron (RI), alternative 5’ splice site (A5SS), alternative 3’ splice site (A3SS), and mutually exclusive exons (MXE)) were measured in human blood samples from two separate cohorts of patients. Cohort 1 (Training Cohort): 12 healthy controls; 12 new onset type 1 diabetic (T1D) cases cases and controls matched on biological sex, age, and body mass index (BMI) 180 million reads Cohort 2 (Testing Cohort): 12 healthy controls; 12 new onset type 1 diabetic (T1D) cases cases and controls matched on biological sex and age. BMI not recorded. 150 million reads
DOI: 10.21947/2229146
title: WFIP3 - RHOD site - NREL Scanning Lidar (Halo XR) / Derived Data - Wind Statistics

description: The 10-min wind statistics from ground-based Doppler lidar at site H were calculated using the Sathe et al., 2015, paper in the references.
DOI: 10.6084/m9.figshare.24779037
title: Dataset for 'Isotope constraints on nitrate exchanges between precipitation and forest canopy' in Global Biogeochemical Cycles

description: Dataset for 'Isotope constraints on nitrate exchanges between precipitation and forest canopy' in Global Biogeochemical Cycles
DOI: 10.5281/zenodo.10280291
title: Replication data and code for "The Spatiotemporal Pattern of Surface Ozone and Its Impact on Agricultural Productivity in China"

description: This dataset contains code and data to replicate the results for "The Spatiotemporal Pattern of Surface Ozone and Its Impact on Agricultural Productivity in China" by Xiaoguang Chen, Jing Gao, Luoye Chen, Madhu Khanna, Binlei Gong, and Maximilian Auffhammer.
DOI: 10.5281/zenodo.10280292
title: Replication data and code for "The Spatiotemporal Pattern of Surface Ozone and Its Impact on Agricultural Productivity in China"

description: This dataset contains code and data to replicate the results for "The Spatiotemporal Pattern of Surface Ozone and Its Impact on Agricultural Productivity in China" by Xiaoguang Chen, Jing Gao, Luoye Chen, Madhu Khanna, Binlei Gong, and Maximilian Auffhammer.
DOI: 10.5281/zenodo.10164370
title: Formation of Iron-Helium Alloys under High Pressure

description: Table 1. Experimental Results
Table S1. EPMA data
Table S2. EoS parameters
DOI: 10.7274/24739668
title: Data for "Catchment processes can amplify the effect of increasing rainfall variability"

description: Streamflow and Rainfall statistics data for the manuscript 'Catchment processes can amplify the effect of increasing rainfall variability' by Müller, M.F., Roche, K.R and Dralle, D.N.
DOI: 10.7274/24739668.v1
title: Data for "Catchment processes can amplify the effect of increasing rainfall variability"

description: Streamflow and Rainfall statistics data for the manuscript 'Catchment processes can amplify the effect of increasing rainfall variability' by Müller, M.F., Roche, K.R and Dralle, D.N.
DOI: 10.6084/m9.figshare.24526363
title: scripts

description: In this directory, the scripts necessary for the analysis are contained.
DOI: 10.6084/m9.figshare.24526363.v2
title: scripts

description: In this directory, the scripts necessary for the analysis are contained.
DOI: 10.6084/m9.figshare.24526363.v1
title: scripts

description: In this directory, the scripts necessary for the analysis are contained.