cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.60656/b7d9bf7dd93d4599
title: Custom collection of ice water content, and liquid water content data from Ny-Ålesund between 1 Jan and 31 Dec 2024
DOI: 10.17632/zvgp9xr5t4.1
title: Insect Colonization and Decomposition Data from Rohypnol-Treated Pig Carcasses with Corresponding Meteorological Records

description: The research investigated the effects of Rohypnol on insect colonization and decomposition patterns in forensic entomology. The hypothesis was that increasing concentrations of Rohypnol would reduce insect abundance and prolong decomposition stages while maintaining consistent insect succession patterns. The study used four domestic pigs (Sus scrofa Linnaeus), with one serving as a control and three receiving different doses of Rohypnol (1 mg/250 ml, 2 mg/250 ml, and 3 mg/250 ml) dissolved in vodka before euthanasia. Carcasses were placed in individual metal cages at the University of Nairobi’s Veterinary Farm, Upper Kabete, and monitored under natural environmental conditions for 60 days.

Data collection focused on insect colonization patterns across five decomposition stages: fresh, bloated, active decay, advanced decay, and dry remains. Insects were sampled daily for the first eight days, twice daily for the next eight days, and once daily until the dry remains stage. Sampling methods included aerial nets, pitfall traps, and forceps from natural body openings and wounds. Maggot samples were preserved in 75% ethanol or reared to adulthood for species identification. Specimens were classified using standard entomological keys, and species abundance was recorded at different time points.

The first dataset includes insect species identification, abundance, and temporal distribution across decomposition stages. Calliphoridae was the most abundant family across all groups, followed by Muscidae and Sarcophagidae. Insect abundance decreased with increasing Rohypnol concentration, but species composition and succession patterns remained consistent. The decomposition process was prolonged in Rohypnol-exposed carcasses, suggesting a potential inhibitory effect of the drug on insect attraction or development.

The second dataset contains meteorological data from the study site, including temperature, humidity, and other environmental variables recorded throughout the study. These data provide context for understanding decomposition rates and insect activity under specific climatic conditions.

This dataset is valuable for forensic entomologists studying drug-induced variations in insect activity and post-mortem interval estimation. Researchers can use it to analyze species-specific decomposition timelines, compare insect succession across environmental conditions, and refine forensic methodologies for estimating time since death in drug-related cases.
DOI: 10.15468/dl.m7dch2
title: Occurrence Download

description: A dataset containing 13356 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hohenbuehelia Schulzer, 1866"
 ]
}

 The dataset includes 13356 records from 380 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015133-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vudqkf
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Doniophyton weddellii Katinas & Stuessy)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 44 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015135-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48583/99rv-3116
title: Bloomberg excavations finds data tables

description: UK
DOI: 10.15468/dl.yxwc53
title: Occurrence Download

description: A dataset containing 42 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Azorella cryptantha (Clos) Reiche)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 42 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015134-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5xnrzb
title: Occurrence Download

description: A dataset containing 54 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Erigeron leptopetalus Phil.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 54 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015136-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wryspp
title: Occurrence Download

description: A dataset containing 86 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Erigeron andicola DC.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 86 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015137-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3wubvx
title: Occurrence Download

description: A dataset containing 61 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is United States of America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Sternula antillarum antillarum",
 "Year 2015-2025"
 ]
}

 The dataset includes 61 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015138-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/t3mgf7rhh7.1
title: Modeling Mortality of Children Under Five in Ethiopia Using Bayesian Approach

description: This study utilizes a Bayesian Semi-Parametric Discrete-Time Survival Model to analyze the determinants of under-five child mortality in Ethiopia, with a particular emphasis on the time-varying effects of key covariates. Employing data from the 2005 Ethiopia Demographic and Health Survey, encompassing 9,861 children, the research investigates the influence of socio-economic, demographic, and environmental factors on child survival.
Given that traditional parametric approaches to modeling child mortality often impose restrictive assumptions and assume constant effects throughout a child's life, this study reveals that several critical factors exhibit distinct age dependencies that conventional methods may overlook. The Bayesian framework facilitates flexible modeling that captures complex non-linear relationships and time-varying effects while providing robust uncertainty quantification. The methodology combines parametric components for fixed effects with non-parametric components for time-varying effects. Diffuse priors are specified for fixed effects parameters, while smoothness priors using cubic P-splines with second-order random walk priors are employed for time-varying covariates. Posterior inference is conducted via Markov Chain Monte Carlo (MCMC) simulation techniques implemented in BayesX software.
The results indicate significant socio-economic determinants, including the mother's education level, household economic status, and the partner's education. Demographic factors such as birth order, preceding birth interval, and type of birth emerged as significant predictors. Environmental factors, including residence type and access to protected water sources, substantially influence child survival outcomes. The study identifies three key variables with distinct age-dependent effects: the baseline hazard function, which shows mortality risk is highest immediately after birth, decreases sharply during the first few months, then declines gradually; breastfeeding's protective effect, which varies with the child's age, being strongest in early months and changing as the child develops; and the effect of the mother's age at birth, which exhibits time-varying patterns, with both very young and older mothers associated with higher mortality risks that vary across the child's life.
Model comparison using Bayesian criteria confirms that incorporating these time-varying effects significantly improves the model's explanatory power compared to simpler alternatives. This research demonstrates the utility of Bayesian semi-parametric methods for analyzing child mortality and provides insights into how risk factors operate throughout early childhood. The findings have important implications for designing targeted interventions that account for how risk factors change in importance at different developmental stages, potentially leading to more effective strategies for reducing child mortality in Ethiopia and similar contexts.
DOI: 10.5284/1126018
title: Data from a Geophysical Survey (Xlinks Morocco-UK Power Project), Devon, 2022-2023

description: This collection comprises of a report, raster, geophysics and GIS data from a magnetometer survey carried out by Sumo Geosurveys between September 2022 and March 2023 for a proposed development situated in Devon.
DOI: 10.15468/dl.cycwyx
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((22.4145 45.25657,25.42348 45.21499,25.40269 47.79782,23.37072 47.8446,22.49765 47.79263,22.4145 45.25657))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Crambe tataria Sebeók"
 ]
}

 The dataset includes 19 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015139-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ac5qmu
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mycetoporus punctipennis W.Scriba, 1868",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 12 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015141-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uebeab
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Draba ochropetala O.E.Schulz"
 ]
}

 The dataset includes 16 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015140-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/jrxg364xzt
title: Genetic control of local mutation rates summary stats part 2

description: Summary statistics part 2.
Part of project: 10.17632/rbfzrc9ss7.1

- GCTA mlma summary stats for mutQTLs using (1) only LCLs and (2) unrelated samples.
DOI: 10.17632/jrxg364xzt.1
title: Genetic control of local mutation rates summary stats part 2

description: Summary statistics part 2.
Part of project: 10.17632/rbfzrc9ss7.1

- GCTA mlma summary stats for mutQTLs using (1) only LCLs and (2) unrelated samples.
DOI: 10.17632/2zgn8rybs2.1
title: Genetic control of local mutation rates summary stats part 1

description: Summary statistics part 2.
Part of project: 10.17632/rbfzrc9ss7.1

- GCTA mlma summary stats for mutQTLs using (1) all LCLs and (2) LCLs with a global mutation load above the median. 
- GCTA mlma summary stats for multi-mutQTLs conditioned on the genotypes of the other putative causal loci. readme included with additional information.
DOI: 10.17632/3hymgv47jv.1
title: Mixed messages: Unmixing sedimentary molecular distributions reveals source contributions and isotopic values

description: This dataset contains previously published data and results of statistical analysis of these data described in the manuscript "Mixed messages: Unmixing sedimentary molecular distributions reveals source contributions and isotopic values." Please see the manuscript for description of the datasets and the analysis.
DOI: 10.17632/3hymgv47jv.2
title: Mixed messages: Unmixing sedimentary molecular distributions reveals source contributions and isotopic values

description: This dataset contains previously published data and results of statistical analysis of these data described in the manuscript "Mixed messages: Unmixing sedimentary molecular distributions reveals source contributions and isotopic values." Please see the manuscript for description of the datasets and the analysis.
DOI: 10.17632/4f3txzm3j4.1
title: Urine metabolomic analyses reveal metabolite disruptions in steroid hormone biosynthesis in mpox

description: This data is the raw offline data of untargeted metabolomics in this study, including four groups of samples: MPXV group, HIV-MPXV group, HIV group, and healthy group. MPXV infection may affect the metabolic levels of patients. Through non targeted metabolomics techniques, it is known that mpox caused metabolic disorders in the body, especially downregulation of steroid hormone synthesis pathways.
This study used urine samples, mpox samples were collected from hospitalized patients, HIV samples were collected from outpatient clinics, and healthy samples were recruited from volunteers. All samples were collected within 2 months. Immediately freeze the collected samples in liquid nitrogen and store them in a -80 ° C freezer for later use. After all samples are collected, they will be inactivated in a biosafety level 3 laboratory and then packaged and stored for later use. By analyzing this raw data, identified metabolites and differential metabolites can be obtained.
DOI: 10.17632/x5pzdg3g7s.1
title: Characterization of powder bed selective laser sintering for multi-material additive manufacturing of Ni and Cu

description: Selective laser melting (SLM) is an additive manufacturing (AM) technology capable of producing fully dense, high strength parts with complex geometries. However, its application is currently limited to single-material components, restricting the potential for individual user functional customization for each part, which would be advantageous across many industries. Much effort is being undertaken to develop nozzle-based powder deposition mechanisms to enable multi-material production in SLM, which would enable further design complexity and precise material-property matching. Current multi-material deposition systems face significant challenges, including geometrical inaccuracies and material cross-contamination, which must be addressed to enhance the development of a feasible multi-material SLM system. This paper presents a vibration-induced nozzle powder deposition and an angled-leveling blade mechanism that addresses these key limitations. The system successfully demonstrates full deposition of a uniform and leveled powder bed comprising nickel and copper, thereby significantly reducing material contamination. The results showed that blade translation speed was less impactful than the blade angle on material contamination. A more complex, multi-layer geometry was also developed, but magnetism issues in the nickel powder compounded significantly when moving to multiple layers, therefore it was substituted with 316L SS powder to resume the study. Potential strategies are presented but are not investigated in this study. This development offers a promising step toward the broader adoption of multi-material additive manufacturing (MMAM) in SLM, improving the outlook on future developments where users can produce functional, application-tailored AM parts.
DOI: 10.15468/dl.rxafs3
title: Occurrence Download

description: A dataset containing 408005 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Canadian Museum of Nature Herbarium"
 ]
}

 The dataset includes 408005 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015132-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/9nk9x3s6jk.1
title: Mapeamento Sistemático da Literatura - Code Smells em VPS Baseada em Blocos

description: Ficheiro excel contendo a lista dos arquivos com o MPL de Code Smells em VPS Baseada em Blocos
DOI: 10.6084/m9.figshare.28616723
title: Test dataset for FISH spot detection

description: Test dataset for running FISH detection pipeline @ https://github.com/HastingsLab-LMB/fish_pipeline.
DOI: 10.6084/m9.figshare.27073906
title: HADES: Annual-average air pollution concentrations in England and Wales (2018-2020)

description: This resource contains national-scale outdoor nitrogen dioxide (NO<sub>2</sub>) and ozone (O<sub>3</sub>) exposure surfaces for England and Wales in 2018, 2019, and 2020 at very high spatial resolutions (10m and 100m). These exposures are also summarised for the 2021 UK Census Output Area (COA) communities, using population-weighted (residential) and area-weighted (community background) sampling techniques.The exposure surfaces were created using the HADES: Hybrid Air Dispersion Exposure System modelling framework, which combines dispersion modelling with satellite-derived estimates of background concentrations, land cover, and a 3-D representation of buildings, in a statistical calibration framework.The 10m annual-average concentration surfaces reported r-squared (goodness-of fit) values of 0.80 for NO<sub>2 </sub>and 0.86 for O<sub>3</sub>, with respect to measurement data at 136 locations in the UK governments automatic monitoring network. The same annual-average NO<sub>2</sub> and O<sub>3</sub> surfaces are associated with root mean squared error (RMSE) values of 4.90 µg/m<sup>3</sup> and 3.17 µg/m<sup>3</sup>, respectively.The air pollution surfaces and their associated data are freely available for non-commercial use (CC BY-NC 4.0) under the condition that the following source is cited:Jephcote, C., and Gulliver, J. (2025). Development and evaluation of rapid, national-scale outdoor air pollution modelling and exposure assessment: Hybrid Air Dispersion Exposure System (HADES). Environment International, Vol 197. DOI: https://doi.org/10.1016/j.envint.2025.109304Version 1.3 of the surfaces uploaded on 17.03.2025
DOI: 10.6084/m9.figshare.27073906.v1
title: HADES: Annual-average air pollution concentrations in England and Wales (2018-2020)

description: This resource contains national-scale outdoor nitrogen dioxide (NO<sub>2</sub>) and ozone (O<sub>3</sub>) exposure surfaces for England and Wales in 2018, 2019, and 2020 at very high spatial resolutions (10m and 100m). These exposures are also summarised for the 2021 UK Census Output Area (COA) communities, using population-weighted (residential) and area-weighted (community spaces) sampling techniques.The exposure surfaces were created using the HADES: Hybrid Air Dispersion Exposure System modelling framework, which combines dispersion modelling with satellite-derived estimates of background concentrations, land cover, and a 3-D representation of buildings, in a statistical calibration framework.The 10m annual-average concentration surfaces reported r-squared (goodness-of fit) values of 0.80 for NO<sub>2 </sub>and 0.86 for O<sub>3</sub>, with respect to measurement data at 136 locations in the UK governments automatic monitoring network. The same annual-average NO<sub>2</sub> and O<sub>3</sub> surfaces are associated with root mean squared error (RMSE) values of 4.90 µg/m<sup>3</sup> and 3.17 µg/m<sup>3</sup>, respectively.The air pollution surfaces and their associated data are freely available for non-commercial use (CC BY-NC 4.0) under the condition that the following source is cited:Jephcote, C., and Gulliver, J. (202x). Development and evaluation of rapid, national-scale outdoor air pollution modelling and exposure assessment: Hybrid Air Dispersion Exposure System (HADES). [In peer review]
DOI: 10.6084/m9.figshare.27073906.v2
title: HADES: Annual-average air pollution concentrations in England and Wales (2018-2020)

description: This resource contains national-scale outdoor nitrogen dioxide (NO<sub>2</sub>) and ozone (O<sub>3</sub>) exposure surfaces for England and Wales in 2018, 2019, and 2020 at very high spatial resolutions (10m and 100m). These exposures are also summarised for the 2021 UK Census Output Area (COA) communities, using population-weighted (residential) and area-weighted (community background) sampling techniques.The exposure surfaces were created using the HADES: Hybrid Air Dispersion Exposure System modelling framework, which combines dispersion modelling with satellite-derived estimates of background concentrations, land cover, and a 3-D representation of buildings, in a statistical calibration framework.The 10m annual-average concentration surfaces reported r-squared (goodness-of fit) values of 0.80 for NO<sub>2 </sub>and 0.86 for O<sub>3</sub>, with respect to measurement data at 136 locations in the UK governments automatic monitoring network. The same annual-average NO<sub>2</sub> and O<sub>3</sub> surfaces are associated with root mean squared error (RMSE) values of 4.90 µg/m<sup>3</sup> and 3.17 µg/m<sup>3</sup>, respectively.The air pollution surfaces and their associated data are freely available for non-commercial use (CC BY-NC 4.0) under the condition that the following source is cited:Jephcote, C., and Gulliver, J. (2025). Development and evaluation of rapid, national-scale outdoor air pollution modelling and exposure assessment: Hybrid Air Dispersion Exposure System (HADES). Environment International, Vol 197. DOI: https://doi.org/10.1016/j.envint.2025.109304Version 1.3 of the surfaces uploaded on 17.03.2025
DOI: 10.17632/7pdxz7bryr
title: Cancer mutations of the tumor suppressor SPOP disrupt the formation of active, phase-separated compartments

description: Data associated with publication:
J.J. Bouchard, J.H. Otero, D.C. Scott, E.M. Szulc, E.W. Martin, N. Sabri, D. Granata, M.R. Marzahn, K. Lindorff-Larsen, X. Salvatella, B.A. Schulman, T. Mittag. (2018) Cancer mutations of the tumor suppressor SPOP disrupt the formation of active, phase-separated compartments. Mol Cell 72(1): 19-36. PMID: 30244836
DOI: 10.1016/j.molcel.2018.08.027
DOI: 10.17632/7pdxz7bryr.1
title: Cancer mutations of the tumor suppressor SPOP disrupt the formation of active, phase-separated compartments

description: Data associated with publication:
J.J. Bouchard, J.H. Otero, D.C. Scott, E.M. Szulc, E.W. Martin, N. Sabri, D. Granata, M.R. Marzahn, K. Lindorff-Larsen, X. Salvatella, B.A. Schulman, T. Mittag. (2018) Cancer mutations of the tumor suppressor SPOP disrupt the formation of active, phase-separated compartments. Mol Cell 72(1): 19-36. PMID: 30244836
DOI: 10.1016/j.molcel.2018.08.027
DOI: 10.5281/zenodo.15046251
title: Film Programming in RIga Cinemas between July and December 1946

description: База данных включает информацию о показах в кинотеатрах г. Рига в период между июлем и декабрём 1946 года.  Сбор данных осуществлялся на основе ежедневной газеты «Советская Латвия», аннотированных каталогов советских и иностранных фильмов и базы данных IMDb. Работа над датасетом велась в рамках студенческой мастерской «Кинофикация», проводившейся в НИУ ВШЭ в 2024-2025 гг.
description: The database includes information about film-programmin in Riga cinemas during theperiod of Juny 1946 till December 1946. Data collection was based on the daily newspaper «Sovetskaia Latviia» (Soviet Latvia), published catalogues of Soviet and foreign films, and the IMDb database. Work on the dataset was carried out within the framework of the student laboratory «Cinefication» held at HSE University in 2024-2025.