cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14911560
title: Easy genomic regions for short-read variant calling

description: Panmask easy regions:



pm151a.easy: excluding 151-mers occurring ≥1.01n times in the pangenome, where n is the number of genomes.

pm151b.easy: further excluding low-complexity regions ≥19bp identified by SDUST


They exclude all assembly gaps and non-chromosomal contigs. See panmask for details.
DOI: 10.15468/dl.d9kt86
title: Occurrence Download

description: A dataset containing 1165431 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Alisma plantago-aquatica L., Butomus umbellatus L., Dryopteris filix-mas (L.) Schott, Gymnocarpium dryopteris (L.) Newman, Lycopodium clavatum L.)",
 "Geometry POLYGON ((-180 45.53015, 180 45.53015, 180 83.62313, -180 83.62313, -180 45.53015))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "CoordinateUncertaintyInMeters is less than or equal to 50000"
 ]
}

 The dataset includes 1165431 records from 1491 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051483-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18140/flx/1440212
title: FLUXNET2015 CN-Sw2 Siziwang Grazed (SZWG)

description: This is the FLUXNET2015 version of the carbon flux data for the site CN-Sw2 Siziwang Grazed (SZWG).
DOI: 10.18140/flx/1669658
title: FLUXNET-CH4 RU-Vrk Seida/Vorkuta

description: This is the FLUXNET-CH4 version of the carbon flux data for the site RU-Vrk Seida/Vorkuta.
DOI: 10.20350/digitalcsic/16261
title: Measures of Rhizostoma pulmo ephyrae statoliths synthesized under warming and ocean acidification conditions (IPCC SSP5-8.5 scenario)

description: The dataset provides Rhizostoma pulmo newly released ephyrae statoliths measurements.
description: The data set is provided as an Excel file within a compressed folder that also includes a single README file (in text format) containing a detailed description of the data structure.
description: [METHODOLOGY] Description of methods used for collection/generation of data: Six combinations of temperature and PCO2 (18, 24 and 30ºC with a PCO2 of 500 and 1000 ppm each) were applied during 32 days to different groups of polyps of Rhizostoma pulmo. From the released ephyrae during this period, three specimens from each treatment were randomly taken. From each ephyra, three of its eight statocysts were randomly selected and all the statoliths inside were counted and measured via inverted optical microscopy.-- Methods for processing the data: Data were analyzed using RStudio software. To obtain the variable "volume", its values were obtained using the formula for the volume of a regular hexagonal prism.
description: This data set includes data collected from ICMAN-CSIC (Spain), consisting of measurements of the size and number of the statoliths present in newly released Rhizostoma pulmo ephirae under conditions of oceanic warming and acidification (IPCC SSP5-8.5 scenario). From each ephyra, three of its eight statocysts were randomly selected and all the statoliths inside were counted and measured.
DOI: 10.25573/serc.21565671.v1
title: Database: Coastal Carbon Library (Version 1.0.0)

description: This data release documents the current version of the Coastal Carbon Data Library, an international database of soil carbon data from tidal wetlands synthesized by the Coastal Carbon Network. This database serves as an open source data tool designed to support soil Blue Carbon research and policy. This data can additionally be accessed through the Coastal Carbon Atlas, which is an interactive web application created to interface with the Data Library and allow for the exploration, filtering, and download of disaggregated soil core data.
DOI: 10.3886/icpsr35080.v1
title: The Survey of Criminal Justice Experience (SCJE), 2013
title: Version 1

description: The Survey of Criminal Justice Experience (SCJE) is a household survey of the criminal justice experiences of United States adults ages 18-64. Measures capture supervision (e.g. probation, jail, and prison) and broader experiences such as arrests and convictions. Researchers are able to estimate 12-month and life-time prevalence rates of respondents' criminal justice experiences. Data were collected between May 8, 2013 and May 20, 2013 via a web-based survey conducted by GfK, a leading market research organization. GfK maintains the KnowledgePanel -- a probability-based research panel representative of households in the United States. A random sample of 5,278 individuals aged 18-64 were selected from the KnowledgePanel and 3,260 participated in the survey. Along with the main survey variables, standard demographic variables, a series of data processing variables created by GfK, and a final sample weight are also included in the dataset. Demographic variables cover: age, race, sex, income, regions, education, marital status, employment status, and housing type.
description: A Final Post-Stratification Weight is included in the data. Users should refer to the user guide for additional weighting and methodological information.
description: Response Rates: 61.7 percent
description: Datasets: 
 
 DS1: Dataset
description: web-based survey 
This research is supported by the National Center for Family and Marriage Research, which is funded by a cooperative agreement, grant number 5 U01 AE000001-05, between the Assistant Secretary for Planning and Evaluation (ASPE) in the United States Department of Health and Human Services (HHS) and Bowling Green State University.
 Documentation regarding KnowledgePanel sampling, data collection procedures, weighting, and IRB-related issues is available from the following online resources. www.knowledgenetworks.com/ganp/reviewer-info.html; www.knowledgenetworks.com/knpanel/index.html; www.knowledgenetworks.com/ganp/irbsupport/;
description: The general population of adults aged 18-64 in the United States.
description: A random sample of 5,278 individuals aged 18-64 were selected from the KnowledgePanel, which is a representative sample of the United States population. Users should refer to the user guide for additional sampling and methodological information.
DOI: 10.5066/p9dsophd
title: The U.S. Inland Creel and Angler Survey Catalog (CreelCat): A Database and Interactive Tool for Inland Fisheries Management and Research (Depreciated April 2024)

description: The U.S. Inland Creel and Angler Survey Catalog (CreelCat) contains data compiled from 14,729 creel and angler surveys conducted by state natural resource management agencies (including Washington DC and Puerto Rico) in inland waters across the United States. Data is are contained in eight .csv files which contain information about survey characteristics (Survey_Data.csv), angler effort (AngEffort_Data.csv), catch and harvest (FishDataCompiled.csv), angler demographics (Demographic_Data.csv), angler preferences (AngPrefDataCompiled.csv), taxonomic classifications (Taxa_Data.csv), issues with catch and harvest (Fish_Attribution_Issues.csv), and issues with angler preference (AngPref_Attribution_Issues.csv), as well as three shapefiles containing geospatial information for lakes, reservoirs, ponds and tailraces attributed as polygons, rivers and streams attributed as lines, and all types attributed as points. Survey methodology and documentation is highly variable and therefore not all fields will be available for all surveys. The majority of surveys have been georeferenced however some data sources did not include adequate information to georeferenced the survey locations. In future releases we hope to update as many additional surveys as possible with geospatial information. Tables can be linked based on the 'Survey_ID' field. Data can be linked to the CreelCat shapefiles (point, line, and polygon) based on the WB_ID field contained in the 'Survey_Data' table as well as the shapefile attribute tables.
DOI: 10.5281/zenodo.10340213
title: Detrended topography of the Moon

description: These data sets represent detrended global topography of the Moon. Detrended topography is useful for photogeological analysis of subtle gently sloping features in generally smooth parts of the lunar surface. File _readme.pdf contains detailed description of the data sets.
DOI: 10.5281/zenodo.11045179
title: Characterization of metallurgical ceramics from the Late Bronze Age settlement of Enkomi, Cyprus through the application of SEM-EDS

description: The current dataset comprises the chemical analysis of the Late Bronze Age archaeometallurgical ceramic assemblage discovered in Area III at Enkomi, Cyprus. Through the application of SEM-EDS, we have determined that these ceramics were specifically utilized for copper-based secondary metallurgical activities. This project marks the first comprehensive study of technical ceramics within Cypriot archaeometallurgy, offering significant insights into the organization of copper production on the island during the 2nd millennium BCE. Moreover, our findings underscore the importance of the dataset providing valuable information for further research and comparative analyses aimed at understanding the various stages of the copper production sequence in Cyprus as evidenced by metallurgical ceramic assemblages. The dataset was created as part of the first author's doctoral research.
DOI: 10.5281/zenodo.13709863
title: Magnetic diffusion in Solar atmosphere produces measurable electric fields

description: Stokes spectra in 397, 630, and 854 nm with a field-of-view of 10"x10" that contains the analyzed Ellerman bomb
DOI: 10.5281/zenodo.13742643
title: RER2023: the landslide inventory dataset of the May 2023 Emilia-Romagna event - Version 1

description: The dataset consists of 80,997 polygons that document the landslides occurred in Emilia-Romagna, Italy, in May 2023. Landslides were manually mapped by experts using high-resolution aerial images (0.2 m resolution, RGB and near-infrared) taken shortly after the event. This landslide inventory has been designated as reference map by the Emilia-Romagna Region and the Po River Authority for the “Special Plan for interventions against situations of hydrogeological instability” (June 2024). It also serves to assist the Commission for Reconstruction during the recovery phase.

The dataset is provided in ESRI (Environmental Systems Research Institute) shapefile format and includes several attributes: polygon ID (IDC), manually classified landslide type (ClassMan), geological unit at the polygon's centroid (Lito), Green Leaf Index (GLI), percentage of deposit over Non-Forested Slopes (NFS), and reclassified landslide type after applying a harmonization algorithm (ClassNew).

Landslide classification within the ClassMan and ClassNew fields includes:

DS1=debris slide with high mobility

DS2=debris slide with low mobility

DF1=debris flow with long runout

DF2=debris flow with limited runout

RS1=fully-developed rock-block slide

RS2=incipient rock-bloc kslide

ES=earth slide

EF=earth flow.

For a detailed explanation of the dataset, its attributes, and the harmonization methodology, please refer to the accompanying paper.
DOI: 10.5281/zenodo.2631745
title: S20 | BISPHENOLS | Bisphenols

description: This is the collection associated with list S20 BISPHENOLS on the NORMAN Suspect List Exchange.

https://www.norman-network.com/?q=suspect-list-exchange

S20

BISPHENOLS

<strong>Bisphenols</strong>

Bisphenols CSV, XLS (23/01/2019)

CompTox Bisphenols List

Bisphenol InChIKeys (23/01/2019)

Bisphenols available at NILU (Pawel Rostkowski) and from Table 3 of report 5/17 by KEMI (Swedish with English summary). Extended to include tert-butylbisphenols and exposure scores Jan. 2019.
DOI: 10.5281/zenodo.8429208
title: UAV-PDD2023: A benchmark dataset for pavement distress detection based on UAV images

description: The images in the dataset ( VOC format) were captured by a UAV at an altitude of 30 meters. The collected images were annotated in PASCAL VOC format. A total of 11,158 instances in 2,440 images are incorporated in the dataset. The UAV-PDD2023 dataset, captured by unmanned aerial vehicles (UAVs), provides a benchmark for road damage detection. It is highly useful for municipal authorities and road agencies to conduct low-cost road condition monitoring. Six types of road damages are labeled in the dataset: Longitudinal cracks (LC), Transverse cracks (TC), Alligator cracks (AC), Oblique cracks (OC), Repair (RP), and Potholes (PH). Researchers can use this dataset as a benchmark to evaluate the performance of different algorithms in addressing similar problems, such as image classification and object detection.
DOI: 10.5525/gla.researchdata.1647
title: Simulation results for: Simulation of photonic crystal enhanced Ge-on-Si single photon avalanche diodes
DOI: 10.6075/j0kw5cx7
title: California Tobacco Survey (CTS) 2008. In California Tobacco Survey (CTS)

description: The 2008 Adult California Tobacco Survey (CTS) was the eighth in a series of cross-sectional studies to collect information about tobacco use and behaviors among California adults. It was sponsored by the State of California's Department of Public Health (CDPH, previous to 2007 it was known as the California Department of Health Services (DHS)) under subcontract with the University of California at San Diego (UCSD). Westat Inc. was subcontracted to conduct this survey as well as the 1990-1991, 1992, 1993, 1996, 1999, 2002, and 2005 surveys. Two instruments were used in the 2008 CTS: Screener Interview and Extended Adult Interview. The Youth Interview that was included in previous years was removed from the 2008 CTS. Data collection for this CTS began on May 1, 2008 and was completed on February 22, 2009. The objective of this survey was to collect representative statewide data on tobacco-related behaviors, knowledge of and attitudes towards smoking, and monitoring the effect of State-initiated programs on individual target populations. These data are used by the California CDPH to plan and assess the effectiveness of smoking cessation strategies.
DOI: 10.6084/m9.figshare.26976193
title: Supplementary Material for: Strength of Association between Coronavirus Disease 2019 and Neurological Disorders in Children: A Case-Control Study

description: Evidence suggests potential neurological complications of Coronavirus Disease 2019 (COVID-19), particularly in adults. While case series have hinted at associations between COVID-19 and neurological disorders (NDs) in children, the extent of this link remains unclear. This study investigates temporal trends in NDs during the pandemic and assesses their potential association with COVID-19 infection in children. 
We analyzed national Thai hospitalization data (2017-2022) for children under 18 with specific NDs (acute transverse myelitis, central nervous system demyelination, neuromyelitis optica, optic neuritis, polyneuropathy, stroke). An interrupted time series analysis was employed to identify changes in the incidence trends of NDs following the declaration of the COVID-19 pandemic. A matched case-control analysis was conducted using data specific to the Thai COVID-19 outbreak period. This analysis aimed to estimate the association between recent/concurrent COVID-19 infection and NDs in children. A propensity score matching on age group, sex, and month of admission was performed before conducting logistic regression.
From 2017-2022, 1,721 children admitted with NDs (2,474 admissions), with a male predominance (55%) and average age of 10.6 years. Significant slope change was observed in optical neuritis trends coinciding with the third COVID-19 wave. The case-control analysis included 468 cases and 2,340 controls. Children with NDs had a significantly higher prevalence of recent/concurrent COVID-19 (matched odds ratio: 1.95, 95% confidence interval: 1.21-3.16). Subgroup analysis revealed an association between stroke and recent/concurrent COVID-19 (matched odds ratio: 3.05, 95% confidence interval: 1.3-7.16). Thus, this study suggests an association between recent/concurrent COVID-19 and NDs, especially pediatric stroke.
DOI: 10.6084/m9.figshare.27044263
title: Supplementary Material for: Identification of Novel Genetic Risk Variants Associated with Hidradenitis Suppurativa in an Exome Sequencing Cohort of 92,455 Individuals

description: Introduction. Hidradenitis suppurativa (HS) is a prevalent and persistent inflammatory skin disorder, lacking a known cure or effective biomarkers for early diagnosis at present. 
The genetic determinants of HS have not been fully documented, but it is believed to result from a combination of genetic and environmental factors. 
Methods. To identify relevant HS gene variants in sporadic HS patients, this study utilized longitudinal electronic health records (EHRs) and whole-exome sequencing (WES). DNA exome sequencing data from 92,455 participant samples in the MyCode biobank, linked to Geisinger's EHR, were analyzed. This cohort included 1,092 HS cases and 91,363 healthy controls. The MyCode EHR has a median longitudinal follow-up of 15 years per participant, with an average of 87 clinical encounters, 687 laboratory tests, and 7 procedures.
Results: There were 1092 (901 females (F) & 191 males (M) participants aged 14 to 89 years (median 47 years) with HS (L73.2), indicating 1.18% prevalence and accounting for a 4.7:1 female to male ratio among the individuals presenting for clinical care. γ-secretase complex, syndromic, and autoinflammatory gene variants were assessed. Potential pathogenic variants were identified among 66 individuals in the HS genes studied. Molecularly, the estimated HS variant prevalence was 1:1400 in the cohort, 12.3% of variant carriers had HS diagnosis in EHR.
Conclusions: Using longitudinal EHR data, genomic screening identified HS-associated gene variants in a defined group of sporadic HS patients to augment the clinical diagnosis, particularly in cases of ambiguity. Based on this study, the field of skin disorders can benefit from a personalized approach to HS diagnosis using large-scale sequencing.
DOI: 10.1285/i20356609v12i2p436
title: Who Shape the City? Non-profit associations and civil society initiatives in urban change processes: role and ambivalences

description: The present paper focuses on non-profit sector and civil society initiatives within urban change processes. More specifically, it looks into experiences that are characterised by a local/area-based approach and that arise in relation, response and reaction to the processes of city change, becoming and being recognised as one of its actors. By examining different initiatives variously involved in the regeneration process of a semi-central neighbourhood of the city of Torino (Italy), and by investigating their origins, goals and actions, the paper addresses the transformations that they go through over time, their complex relation with other local actors, and their role in the regeneration process, overall pointing out the different forms of ambiguity and ambivalences that they bear.
DOI: 10.1285/i20705948v12n2p542
title: Accuracy of computer guided implant dentistry: a permutation testing approach

description: The aim of this paper was to analyze the accuracy of computer-guided template-based implant dentistry by comparing implant position in the virtual project and that actual reached in the bones. For this purpose we considered a study involving 17 healthy patients subjected to an implant surgical session with the insertion of implants with an external connection. Data from this study do not follow a well defined sampling procedure, and (multivariate) data do not follow a (multivariate) normal distribution, thus traditional parametric approaches were not recommend. Analysis with a non-parametric procedure based on permutation tests and nonparametric combination methodology revealed that significant discrepancies exist between the planned and actual implant position.
DOI: 10.15468/dl.7echrr
title: Occurrence Download

description: A dataset containing 1156 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Italy",
 "TaxonKey is Myocastor coypus (Molina, 1782)"
 ]
}

 The dataset includes 1156 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0136951-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pwnkre
title: Occurrence Download

description: A dataset containing 92 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Loureedia Miller, Griswold, Scharff, Řezáč, Szűts & Marhabaie, 2012"
 ]
}

 The dataset includes 92 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0234555-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/j9yfh482r4.1
title: Corpus de recherche. Résultats du projet Calcul Mental Africa2020 (volet 1 : test de calcul mental en Martinique)

description: Ce fichier contient l'ensemble des résultats au test de compétences en calcul mental des 2710 élèves de l'académie de Martinique. Seul l'école élémentaire a été évaluée (CP, CE1, CE2, CM1 et CM2). Il a eu lieu aux mois de mai et juin 2021. C'est la première étape du recueil de données du projet national "Former à enseigner à calculer mentalement: perspective comparée Sénégal-Martinique et construction d'une formation d'enseignants" dont le nom court est "Calcul mental Africa 2020".
DOI: 10.20350/digitalcsic/14706
title: Head-CT 2D/3D images with and without ICH prepared for Deep Learning

description: For the "ICH detection" part, radiologists selected parients according to inclusion and exclusion criteria. - Images with HIC: - Inclusion criteria: Diagnosis of an ICH between 2010 and 2015. - Exclusion criteria: Significant motion artifact Significant postsurgical changes. - Images without ICH (healthy): - Inclusion criteria: Having done a head-CT between 2010 and 2015 reported as “normal” or “ICH is ruled out”. - Exclusion criteria: Significant motion artifact. Other major diagnoses (such as tumors). For the "prognosis" part, only the pathological head-CTs were used. All images are de-identified.
DOI: 10.24432/c54305
title: SECOM
DOI: 10.26033/z7xq-1x46
title: Asteroid Polarimetric Database (APD) Bundle V1.0

description: The Asteroid Polarimetric Database (APD) is a collection of asteroid polarimetry results compiled by D.F. Lupishko of Karazin Kharkiv National University, Ukraine. It is intended to include most asteroid polarimetry available through February 15, 2019.
DOI: 10.5067/7tql49xlimbd
title: GEOS-Carb CASA-GFED Daily Fire and Fuel Emissions 0.5 degree x 0.5 degree V3
DOI: 10.5281/zenodo.10406423
title: MOM6 Model Output from "Improved Upper Ocean Vertical Mixing in the Equatorial Oceans in NOAA/GFDL's OM4 Model"

description: Datasets produced during the MOM6 experiments described by "Improved Upper Ocean Vertical Mixing in the Equatorial Oceans in NOAA/GFDL's OM4 Model".

These datasets are needed to reproduce the figures in the version of this manuscript as submitted to ESS.

The location of the notebooks for creating figures from these datasets is indicated in the manuscript.
DOI: 10.5281/zenodo.10967429
title: DE3 data
DOI: 10.5281/zenodo.12626720
title: Dataset for the study "Deep Learning-Based Precipitation Simulation for Different Types of  Weather Events in Eastern China"

description: This dataset contains the data and codes used in the study "Deep Learning-Based Precipitation Simulation for Different Types of  Weather Events in Eastern China". The resources will be updated continously.