cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8156759
title: Processed metabolomic data from the EXPOsOMICS Personal Exposure Monitoring study

description: Metabolomic data from the 'Variability of the Human Serum Metabolome over 3 Months in the EXPOsOMICS Personal Exposure Monitoring Study' paper DOI: 10.1021/acs.est.3c03233 . The data was originally collected and generated by the multicenter EXPOsOMICS Personal Exposure Monitoring study. Details on data collection and processing are described in the aforementioned paper. The statistical analysis from that paper is available at https://github.com/moosterwegel/variability-metabolites-paper and may contain useful information/code to work with this data. `processed_covariate_data.csv`:<br> ```<br> Rows: 298<br> Columns: 7<br> $ subjectid: hashed identifier subject<br> $ sample_code: indicates if it's the first (A) or second (B) blood sample<br> $ centre: indicates in which centre the data was collected<br> $ age_cat: indicates age category at the time of a PEM session<br> $ sq_sex: indicates the sex of the participant (male, female) as filled in during the screening questionaire<br> $ traf: indicates the exposure to traffic (PM2.5 and UFP) as measured during the PEM sessions. <br> $ bmi_cat: indicates BMI category at the time of a PEM session<br> ``` `processed_lcms_data data.csv` contains the processed LCMS data:<br> ```<br> Rows: 298<br> Columns: 4297<br> $ subjectid: hashed identifier subject<br> $ sample_code: indicates if it's the first (A) or second (B) blood sample<br> $ centre: indicates in which centre the data was collected<br> $ compounds: measured features (compounds) are prefixed by the letter X. The name contains information on the measured monoisotopicmass_retentiontime.<br> Non-detects (below limit of detection (LOD) are coded as 1 for the compounds.<br> ....<br> ```<br> In the datasets each row indicates a measurement on a day (`sample_code`) and person (`subjectid`). The datasets can be joined on these variables. The other data files (`annotations.xslx`, `ancestors_annotations.xlsx`, `annotations_plus_kegg_pathways.csv`) contain the annotations, ancestors of the annotations (to assign a class to a compound based on ChEBI ontology, see our paper for details), annotations plus KEGG pathways respectively.
description: The study center in Basel was additionally funded by Grants from the Swiss National Science Foundation 33CS30-148470 and 33CS30-177506. Where authors are identified as personnel of the International Agency for Research on Cancer/World Health Organization, the authors alone are responsible for the views expressed in this article and they do not necessarily represent the decisions, policy or views of the International Agency for Research on Cancer/World Health Organization.
DOI: 10.5281/zenodo.8156758
title: Processed metabolomic data from the EXPOsOMICS Personal Exposure Monitoring study

description: Metabolomic data from the 'Variability of the Human Serum Metabolome over 3 Months in the EXPOsOMICS Personal Exposure Monitoring Study' paper DOI: 10.1021/acs.est.3c03233 . The data was originally collected and generated by the multicenter EXPOsOMICS Personal Exposure Monitoring study. Details on data collection and processing are described in the aforementioned paper. The statistical analysis from that paper is available at https://github.com/moosterwegel/variability-metabolites-paper and may contain useful information/code to work with this data. `processed_covariate_data.csv`:<br> ```<br> Rows: 298<br> Columns: 7<br> $ subjectid: hashed identifier subject<br> $ sample_code: indicates if it's the first (A) or second (B) blood sample<br> $ centre: indicates in which centre the data was collected<br> $ age_cat: indicates age category at the time of a PEM session<br> $ sq_sex: indicates the sex of the participant (male, female) as filled in during the screening questionaire<br> $ traf: indicates the exposure to traffic (PM2.5 and UFP) as measured during the PEM sessions. <br> $ bmi_cat: indicates BMI category at the time of a PEM session<br> ``` `processed_lcms_data data.csv` contains the processed LCMS data:<br> ```<br> Rows: 298<br> Columns: 4297<br> $ subjectid: hashed identifier subject<br> $ sample_code: indicates if it's the first (A) or second (B) blood sample<br> $ centre: indicates in which centre the data was collected<br> $ compounds: measured features (compounds) are prefixed by the letter X. The name contains information on the measured monoisotopicmass_retentiontime.<br> Non-detects (below limit of detection (LOD) are coded as 1 for the compounds.<br> ....<br> ```<br> In the datasets each row indicates a measurement on a day (`sample_code`) and person (`subjectid`). The datasets can be joined on these variables. The other data files (`annotations.xslx`, `ancestors_annotations.xlsx`, `annotations_plus_kegg_pathways.csv`) contain the annotations, ancestors of the annotations (to assign a class to a compound based on ChEBI ontology, see our paper for details), annotations plus KEGG pathways respectively.
description: The study center in Basel was additionally funded by Grants from the Swiss National Science Foundation 33CS30-148470 and 33CS30-177506. Where authors are identified as personnel of the International Agency for Research on Cancer/World Health Organization, the authors alone are responsible for the views expressed in this article and they do not necessarily represent the decisions, policy or views of the International Agency for Research on Cancer/World Health Organization.
DOI: 10.6084/m9.figshare.23947389
title: "Antibiotics under our feet" Public Engagement Project (dataset 2)

description: This link goes to the second set of data files from the analysis of soil samples collected during the University of St Andrews "Antibiotics under our feet" public engagement activity in the form of a citizen science project funded by a ScotPEN Wellcome Engagement Award to Clarissa Melo Czekster, University of St Andrews.<br>The following files types and formats are included:<br>- Soil sample data ID, collection date and location and associated environmental data in .xlsx format (Excel spreadsheet);<br>- Raw sequence files; text-based format for representing nucleotide or amino acid sequence with quality data: .fastq.gz (zipped, can be opened with a text editor);<br>More details on the software required are provided in the Readme.txt file.
DOI: 10.5517/ccdc.csd.cc2drqgc
title: CCDC 2227333: Experimental Crystal Structure Determination

description: Related Article: Yu-Jia Cheng, Ran-Ran Wu, Jian-Qiang Zhao, Er-Xia Chen, Xuechou Zhou, Yumei Dai, Hui-Li Zheng, Qipu Lin|2023|Cryst.Growth Des.|23|5421|doi:10.1021/acs.cgd.3c00675
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.cc2dxs6b
title: CCDC 2232192: Experimental Crystal Structure Determination

description: Related Article: Yang-Yun Chu, Andrés García Alejo, Sergey L. Bud’ko, Kasuni Boteju, Smita Patnaik, Arkady Ellern, Marilú Pérez García, Aaron D. Sadow|2023|Inorg.Chem.|62|11751|doi:10.1021/acs.inorgchem.3c00435
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.cc2dxs7c
title: CCDC 2232193: Experimental Crystal Structure Determination

description: Related Article: Yang-Yun Chu, Andrés García Alejo, Sergey L. Bud’ko, Kasuni Boteju, Smita Patnaik, Arkady Ellern, Marilú Pérez García, Aaron D. Sadow|2023|Inorg.Chem.|62|11751|doi:10.1021/acs.inorgchem.3c00435
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.23948595
title: 20230815_starrydata2

description: All data on Starrydata2, a database of experimental properties in the field of inorganic materials
DOI: 10.6084/m9.figshare.23948595.v1
title: 20230815_starrydata2

description: All data on Starrydata2, a database of experimental properties in the field of inorganic materials
DOI: 10.5281/zenodo.8229485
title: Data Fusion for Signalized Arterial Performance Measurement - ATSPM Dataset

description: This dataset is used for the STRIDE N2 project titled "Data Fusion for Signalized Arterial Performance Measurement". This dataset is a crucial part of the ATSPM (Automated Traffic Signal Performance Measures) project and consists of high-resolution vehicle detection data. Provided by Utah's Department of Transportation (UDOT), the data covers two significant corridors: corridor-1, 300W (US-89), and corridor-2, 700E (UT-71). <strong>Details:</strong> <strong>Intersection Specific Data:</strong> A particular focus of the dataset is on an intersection at corridor-2, located at 700 East and 500 South. The data here is meticulously prepared using detector data and signal timing (phase) data. <strong>Event-Based Time Stamps:</strong> The time stamps are event-based, featuring an accuracy of 0.1 seconds, and consist of two main variables: event parameter and event code. <strong>Event Parameter:</strong> Represents a detector or phase ID, crucial in identifying specific locations and functions within the intersection. <strong>Event Code:</strong> Defines the condition of the detector or phase, indicating whether it is "on" or "off." <strong>Cycle by Cycle Data</strong> <strong>Applications:</strong> The high granularity of this dataset makes it an essential resource for transportation researchers, traffic engineers, urban planners, and policymakers, seeking to enhance the efficiency, safety, and sustainability of road networks. <strong>Access and Usage:</strong> The dataset is available in a machine-readable format, and users are encouraged to refer to the UDOT's web page on ATSPM to download the entire dataset.
DOI: 10.5281/zenodo.8229484
title: Data Fusion for Signalized Arterial Performance Measurement - ATSPM Dataset

description: This dataset is used for the STRIDE N2 project titled "Data Fusion for Signalized Arterial Performance Measurement". This dataset is a crucial part of the ATSPM (Automated Traffic Signal Performance Measures) project and consists of high-resolution vehicle detection data. Provided by Utah's Department of Transportation (UDOT), the data covers two significant corridors: corridor-1, 300W (US-89), and corridor-2, 700E (UT-71). <strong>Details:</strong> <strong>Intersection Specific Data:</strong> A particular focus of the dataset is on an intersection at corridor-2, located at 700 East and 500 South. The data here is meticulously prepared using detector data and signal timing (phase) data. <strong>Event-Based Time Stamps:</strong> The time stamps are event-based, featuring an accuracy of 0.1 seconds, and consist of two main variables: event parameter and event code. <strong>Event Parameter:</strong> Represents a detector or phase ID, crucial in identifying specific locations and functions within the intersection. <strong>Event Code:</strong> Defines the condition of the detector or phase, indicating whether it is "on" or "off." <strong>Cycle by Cycle Data</strong> <strong>Applications:</strong> The high granularity of this dataset makes it an essential resource for transportation researchers, traffic engineers, urban planners, and policymakers, seeking to enhance the efficiency, safety, and sustainability of road networks. <strong>Access and Usage:</strong> The dataset is available in a machine-readable format, and users are encouraged to refer to the UDOT's web page on ATSPM to download the entire dataset.
DOI: 10.3886/e193327
title: Missouri World War I Veteran Data

description: This project contains service records for World War I veterans from the state of Missouri. The vocational rehabilitation status for some of these veterans has been determined and is available in a separate file.<br><br><br>
DOI: 10.3886/e193327v1
title: Missouri World War I Veteran Data

description: This project contains war records for World War I veterans from the state of Missouri. The vocational rehabilitation status for some of these veterans has been determined and is available in a separate file.<br><br><br>
DOI: 10.3886/e193327v2
title: Missouri World War I Veteran Data

description: This project contains service records for World War I veterans from the state of Missouri. The vocational rehabilitation status for some of these veterans has been determined and is available in a separate file.<br><br><br>
DOI: 10.18128/d014.v3.0.r
title: IPUMS Ancestry Full Count Data: Version 3.0R

description: IPUMS USA makes freely available to researchers worldwide complete count U.S. Census microdata through 1940. This dataset includes over 650 million individual-level (1850-1940) and 7.5 million household-level records (1790-1840). The microdata represents the fruition of longstanding collaborations between IPUMS and the nation's two largest genealogical organizations —Ancestry.com and FamilySearch— to leverage genealogical data for scientific purposes. This microdata collection is possible due to the donations of an unprecedented scale of digitized census data by both Ancestry.com and FamilySearch. Person-level microdata are available from 1850-1940. Complete count data for 1790-1840 are available at the household-level. In contrast to the 1850-1940 U.S. censuses, the 1790-1840 historical censuses named only the head of the household and tallied household totals attached to that record. IPUMS is continually improving the quality of these datasets by removing duplicate records, improving identification of household groups, applying numeric codes to the transcribed responses, etc. These improvements to the underlying data are periodically released via IPUMS USA. The variable VERSIONHIST identifies the public-release version of a dataset. Researchers can merge data between versions of the dataset using HISTID to link individual cases across versions, capturing any updates, corrections, or improvements that may have been applied to the data. All data are coded and can be downloaded via the IPUMS USA extract system. Restricted versions of these datasets are also available. Restricted version of IPUMS Ancestry Full Count data, spanning 1790 to 1940. This version of the data includes string variables, including the name fields, and information to link individual cases to the digital images. Users of the restricted data must have an approved sublicense and user agreement. These data are restricted to protect Ancestry’s business interest in these data transcriptions.
DOI: 10.18112/openneuro.ds004663.v1.0.0
title: CommCon
DOI: 10.5281/zenodo.8102837
title: The (in)sensitivity of granular creep to materials and boundaries

description: Experimental data reported in the publication "The (in)sensitivity of granular creep to materials and boundaries". jupyter notebook codes are included for data analysis and generating figures in the paper. datasets for Kaolinite material and for smooth and rough boundaries
DOI: 10.5281/zenodo.8102836
title: The (in)sensitivity of granular creep to materials and boundaries

description: Experimental data reported in the publication "The (in)sensitivity of granular creep to materials and boundaries". jupyter notebook codes are included for data analysis and generating figures in the paper. datasets for Kaolinite material and for smooth and rough boundaries
DOI: 10.6084/m9.figshare.23646360
title: SITDA_Arctic_Seasonal_Prediction

description: This folder contains sea ice concentration data from the SPEAR experiment without sea ice data assimilation, SSTrest_IC, and data assimilation experiments SICDA_IC and SITDA_IC, from year 2011 to 2020. It also contains the sea ice concentration data from the SPEAR reforecast experiments initialized from the 1st of May to September spanning from year 2011 to 2020.
DOI: 10.6084/m9.figshare.23948772
title: First to signal criterion for comparing control chart performance

description: Control chart performance is often measured using average run length or median run length, which gives the expected or median number of samples to signal. It is often argued that on average, one chart will signal a process change quicker than another, and is therefore a better choice. Average and median run length do not, however, answer the question of which method will be more likely to signal first. We introduce the idea of “first to signal” and compare charts based on this criterion.
DOI: 10.6084/m9.figshare.23948772.v1
title: First to signal criterion for comparing control chart performance

description: Control chart performance is often measured using average run length or median run length, which gives the expected or median number of samples to signal. It is often argued that on average, one chart will signal a process change quicker than another, and is therefore a better choice. Average and median run length do not, however, answer the question of which method will be more likely to signal first. We introduce the idea of “first to signal” and compare charts based on this criterion.
DOI: 10.6084/m9.figshare.23948763
title: The data of the manuscript of <b>Predictive factors for difficult ureter in primary kidney stone patients before retrograde intrarenal surgery</b>

description: The spss data of the manuscript of <b>Predictive factors for difficult ureter in primary kidney stone patients before retrograde intrarenal surgery</b>
DOI: 10.6084/m9.figshare.23948763.v1
title: The data of the manuscript of <b>Predictive factors for difficult ureter in primary kidney stone patients before retrograde intrarenal surgery</b>

description: The spss data of the manuscript of <b>Predictive factors for difficult ureter in primary kidney stone patients before retrograde intrarenal surgery</b>
DOI: 10.6084/m9.figshare.23948775
title: Subnational Radical Right Support in East Central Europe

description: Dataset for subnational vote share for radical right parties in Bulgaria, Slovakia, and Romania
DOI: 10.6084/m9.figshare.23948775.v1
title: Subnational Radical Right Support in East Central Europe

description: Dataset for subnational vote share for radical right parties in Bulgaria, Slovakia, and Romania
DOI: 10.6084/m9.figshare.23946768.v1
title: SourceData_Large.m

description: Artificial Intelligence-Optimized Non-Invasive Brain Stimulation and Treatment Response Prediction for Major Depression (https://github.com/aa14av/NCOM_Albizu_2023)
DOI: 10.22002/zq7kd-57n29
title: Allen Institute Preprocessed MOp Data meK-Means

description: Mouse Primary Motor Cortex data from Yao et al. 2021. preprocessed for CME inference for meK-Means. Unspliced and spliced gene counts, filtered for highly variable genes, and metadata for cells, saved in loompy file.
DOI: 10.26207/156h-mc90
title: Data from "Positive charge in the K-loop of the kinesin-3 motor KIF1A regulates superprocessivity by enhancing microtubule affinity in the one-head–bound state"
DOI: 10.6084/m9.figshare.23623490
title: Evolution of phase diagrams of polymer adsorption over attractive surfaces as a function of flexibility and solvent quality

description: We describe the equilibrium conformations of a polymer near an attractive surface for different conditions in solvent quality and polymer stiffness. Using molecular dynamics techniques in a canonical ensemble, we show the evolution of the phase diagrams as function of temperature and surface interaction strength. Phase diagrams show an ampler variety of possible conformations due to changes in solvent quality compared to stiffness for which variations in conformations appear mainly in the degree of adsorption. We show that the adsorption transition is independent of solvent quality and stiffness. When both parameters change simultaneously, solvent effects are stronger than the stiffness secluding the stiff conformations to regions of low temperature and high surface attraction. A remarkable observation is that the radius of gyration perpendicular component to the surface, Rgx, signals the adsorption transition at coincidental points for each system independently of solvent and stiffness variations in all simulations, which may be of aid in locating this transition in other systems.
DOI: 10.6084/m9.figshare.23623490.v1
title: Evolution of phase diagrams of polymer adsorption over attractive surfaces as a function of flexibility and solvent quality

description: We describe the equilibrium conformations of a polymer near an attractive surface for different conditions in solvent quality and polymer stiffness. Using molecular dynamics techniques in a canonical ensemble, we show the evolution of the phase diagrams as function of temperature and surface interaction strength. Phase diagrams show an ampler variety of possible conformations due to changes in solvent quality compared to stiffness for which variations in conformations appear mainly in the degree of adsorption. We show that the adsorption transition is independent of solvent quality and stiffness. When both parameters change simultaneously, solvent effects are stronger than the stiffness secluding the stiff conformations to regions of low temperature and high surface attraction. A remarkable observation is that the radius of gyration perpendicular component to the surface, Rgx, signals the adsorption transition at coincidental points for each system independently of solvent and stiffness variations in all simulations, which may be of aid in locating this transition in other systems.
DOI: 10.5066/p99j66c9
title: Floating Transient Electromagnetic Survey Data from the Columbia River near Hanford, WA

description: This data release contains motorboat-towed floating transient electromagnetic data collected from the Columbia River near Hanford WA.� Data were collected using a ~16 foot (4.9 meters) outboard motorboat during two field campaigns: July 2021 and April 2022. In total, several hundred linear kilometers of data were collected from a reach of the Columbia that extends from approximately Vernita Bridge to Richland, WA with some additional data collected in the Horn area north of White Bluffs in April 2022. � An Aarhus Geoinstruments FloaTEM system was used to collect these data. The depth of investigation of the FloaTEM system is variable but ranged from approximately 50 to 100 meters. Previously collected high-resolution bathymetric data and observed specific conductance of the water column were used to constrain water depth and resistivity in the processing and interpretation of results.
DOI: 10.34740/kaggle/dsv/6303086
title: MoviesDatasets
DOI: 10.5517/ccdc.csd.cc280n98
title: CCDC 2085999: Experimental Crystal Structure Determination

description: Related Article: K. Naresh Babu, Fedaa Massarwe, Israa Shioukhi, Ahmad Masarwa|2021|Angew.Chem.,Int.Ed.|60|26199|doi:10.1002/anie.202111164
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.