cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.22033/esgf/cmip6.10865
title: NCC NorCPM1 model output prepared for CMIP6 DCPP dcppA-hindcast

description: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets: These data include all datasets published for 'CMIP6.DCPP.NCC.NorCPM1.dcppA-hindcast' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'.
 
 The Norwegian Climate Prediction Model version 1 climate model, released in 2019, includes the following components:
 aerosol: OsloAero4.1 (same grid as atmos), atmos: CAM-OSLO4.1 (2 degree resolution; 144 x 96 longitude/latitude; 26 levels; top level ~2 hPa), atmosChem: OsloChemSimp4.1 (same grid as atmos), land: CLM4 (same grid as atmos), ocean: MICOM1.1 (1 degree resolution; 320 x 384 longitude/latitude; 53 levels; top grid cell 0-2.5 m [native model uses hybrid density and generic upper-layer coordinate interpolated to z-level for contributed data]), ocnBgchem: HAMOCC5.1 (same grid as ocean), seaIce: CICE4 (same grid as ocean). 
The model was run by the NorESM Climate modeling Consortium consisting of CICERO (Center for International Climate and Environmental Research, Oslo 0349), MET-Norway (Norwegian Meteorological Institute, Oslo 0313), NERSC (Nansen Environmental and Remote Sensing Center, Bergen 5006), NILU (Norwegian Institute for Air Research, Kjeller 2027), UiB (University of Bergen, Bergen 5007), UiO (University of Oslo, Oslo 0313) and UNI (Uni Research, Bergen 5008), Norway. Mailing address: NCC, c/o MET-Norway, Henrik Mohns plass 1, Oslo 0313, Norway (NCC) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km. 

Project: These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6).

CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ).

The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. - Project website: https://pcmdi.llnl.gov/CMIP6.
DOI: 10.57967/hf/5581
title: Cytotox
DOI: 10.15468/dl.pxbbbh
title: Occurrence Download

description: A dataset containing 43451 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Tilia americana L.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 43451 records from 257 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009963-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1285/i20356609v18i1p216
title: At the Crossroads between Violence and Migration: Migrant Women's Grassroots Struggles Against Intersectional Violence in Spain

description: This article examines the intersectional violence experienced by migrant women in Spain, emphasizing the complexity of their experiences beyond traditional conceptions of gender-based violence (GBV). It critiques the limited scope of existing research on violence against migrant women and calls for an intersectional approach that accounts for how race, class, sexuality, and other axes of oppression intersect with gender, shaping both experiences of violence and strategies of resistance. The study focuses on how migrant women resist violence by collectively developing their own discourse on the issue within migrant women's groups. Through discourse analysis, it explores the centrality of violence in these groups' narratives and highlights their alternative, critical, and intersectional perspectives on the topic. Lastly, it challenges essentialist narratives on violence against migrant women, highlighting their agency in resisting and shaping their own perspectives on the issue.
DOI: 10.1285/i20356609v18i1p231
title: Gender Based Violence and LGBTQI+ Migrants: Assessing Visibility/Invisibility Tactics through the Italian Reception System

description: Persecutions and discrimination based on Sexual Orientation, Gender Identity and Expression, and Sex Characteristics-diversity (SOGIESC-diversity) are recognized as reasons to claim asylum. Despite this, data on the impact of gender-based violence (GBV) on LGBTQIA+ migrants are limited, both from a quantitative and a qualitative point of view. This sustains an enduring invisibilization of LGBTQIA+ migrants, through migration paths and in reception centers. Using Collins' matrix of domination as a framework, this article provides a qualitative analysis of the experience of the project "MigrAzioni" organised by an Italian Association for the rights of LGBTQIA+ people in the South of Italy. A mixed method approach has been used, collecting both official documentation and the experience of SAI reception centers' operators, LGBTQIA+ right activists and migrants. The article highlights the articulation of visibility/invisibility in the LGBQTIA+ migrants' experience, underlining the different ways the latter is intersected by forms of GBV, institutional processes, cultural and social models, gender stereotypes, but also involving daily tactics enacted in liminal spaces between the subjects and the society.
DOI: 10.14466/cefasdatahub.83
title: Fladen experimental fishing impact recovery data - Benthic macrofauna

description: Total counts and biomass in grams of individual taxa identified from 0.1m squared Day Grab samples of the seabed with associated station information. The benthic macrofaunal samples were collected at sampling stations located within six experimental boxes (three treatments and three control) during a fishing impact recovery survey within the Fladen Grounds. Data were collected at three time points (before impact (time 0), immediately after impact (time 1) and 8 months after impact (time 2) during two research surveys on the RV Cefas Endeavour in April 2015 and November 2015. Day grab samples were collected from within a 50m radius around each target location. On recovery of the grab, sample depth was measured to ensure the sample was of minimum size (5cm). The whole of the second sample was retained for macrofaunal analysis, as a separate grab sample was collected for particle size analysis. The macrofaunal sample was decanted into a plastic box and transferred to the sample processing area on board the vessel. Benthic fauna were collected by washing the sample with seawater over a 5mm and 1mm sieve. The retained less than 1mm fraction was transferred to a labelled container and preserved in 4 percent buffered formaldehyde for analysis ashore. Samples were processed to extract all fauna present, which were then identified to the highest taxonomic level possible, enumerated and weighed (blotted wet weight) to the nearest 0.0001g following the recommendations of the North East Atlantic Marine Biological Analytical Quality Control scheme.
DOI: 10.15468/dl.6pgqak
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Villaria acutifolia"
 ]
}

 The dataset includes 9 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024639-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.14466/cefasdatahub.85
title: Fladen experimental fishing impact recovery data - Seabed imagery analysis

description: Total counts and derived abundance codes of individual taxa identified from video files still photographs of the seabed and total counts of nephrops burrows identified from video files, with associated station information. The digital video and still photographs were acquired from cameras mounted on a camera sledge frame at sampling stations located within six experimental boxes (three treatments and three control) during a fishing impact recovery survey within the Fladen Grounds. Data were collected at three time points (before impact (time 0), immediately after impact (time 1) and 8 months after impact (time 2) during two research surveys on the RV Cefas Endeavour in April 2015 and November 2015. Two camera sledge tows were positioned diagonally across each of the six experimental boxes. The camera sledge system comprised a Kongsberg 208 video camera with still image capability. Illumination was provided by four high intensity LED lights and a dedicated flash unit. The camera was orientated to provide a forward oblique view of the seabed and was fitted with a four-spot (red) laser-scaling device which projected the corners of a 17cm x 17cm square along the axis of the lens onto the seabed. Set-up and operation followed the MESH 'Recommended Operating Guidelines (ROG) for underwater video and photographic imaging techniques. A video overlay was used to provide station metadata, time and position (of the GPS antenna) in the recorded video image. The camera sledge was towed at ~ 0.3 knots and still images were captured at one-minute intervals. The position of the sledge was derived from a High Precision Acoustic Positioning (HiPAP) beacon which was continuously logging at 10 second intervals throughout the tow. Video and still photographs were analysed to identify the broadscale habitats within the video record, to provide abundance and the Marine Nature Conservation Review (MNCR) Abundance Scales (SACFOR) data on the species present and to quantify the number of nephrops burrows present. Identification of taxa was limited to a level that could be confidently achieved from the available image. Quality was managed through a quality control system in place by the contracting laboratory undertaking the seabed imagery processing and by Cefas.
DOI: 10.5281/zenodo.16758104
title: The Impact of Knitting Practices and Creative Design on Digital Transformation in the Knitting
DOI: 10.5281/zenodo.16758105
title: The Impact of Knitting Practices and Creative Design on Digital Transformation in the Knitting
DOI: 10.15468/dl.3um5h3
title: Occurrence Download

description: A dataset containing 4541 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pteroglossus viridis)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 4541 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024641-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aqkuza
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pangio mariarum)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024642-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8m8hgf
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bubalus bubalis",
 "Country is Argentina",
 "HasCoordinate is true"
 ]
}

 The dataset includes 26 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024643-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16759304
title: An Investigation into the Efficacy of Treatments for Atopic Eruption of Pregnancy

description: Objective To establish a predictive model that assess the treatment effectiveness for atopic eruption of pregnancy and evaluate the efficacy of current conventional therapies. Methods A retrospective analysis was conducted on the clinical data of 653 patients diagnosed with atopic eruption of pregnancy who were treated at Anhui Maternal and Child Health Hospital between January 2009 and January 2024. A total of 367 patients were categorized into the effective group based on their symptom improvement, while 286 patients were placed in the ineffective group. Multiple regression analyses were conducted to identify suitable predictors following data collection. A predictive model for atopic eruption of pregnancy and a validation model were subsequently established. Results In Lasso regression model, lambda 0.02388 and AUC value 0.8609; in Ling regression model, lambda.min 0.01245 and AUC value 0.8629; Lambda.1se 0.02388 and AUC value 0.8540; A good value prediction model can be selected by selecting the lambda values above according to the error bar diagram and coefficient trajectory diagram. The OR value calculated by single factor analysis showed that the mild disease severity had the highest efficacy (OR=1.26). Among the disease types, E type had the highest change effectiveness (OR=3.10), which could not be included in the prediction model through multivariate analysis. The three predictors of treatment effectiveness included after data cleaning were histopathological type, allergen screening, and treatment mode. The ROC curve's area under the curve (AUC) was observed to be 0.639 with a 95% confidence interval ranging from 0.598 to 0.681. The model demonstrated a sensitivity of 81.5% and a specificity of 41.6%. The Hosmer-Lemeshow goodness of fit test affirmed the model's excellent fit (P=1.000), and no statistical significance was found between the prediction probability and the observation proportion, substantiating the model's reliable calibration capability. The congruity between the working curve and the deviation correction curve in the calibration curve, along with their proximity to the ideal curve, signifies a high level of calibration in the nomogram. The clinical decision curve shows that this model predicts a net benefit. Conclusion There is a significant multicollinearity between disease severity and disease type, and both mild severity and E-type can directly predict treatment effectiveness. The prediction model constructed using histopathological type, allergen screening, and treatment mode demonstrates good predictive value for the effectiveness of treatment of atopic eruption of pregnancy. This model can be used to evaluate treatment effectiveness and provide a reference for clinicians in conducting clinical consultations and selecting appropriate treatment methods for the right patient population.
DOI: 10.5281/zenodo.16759305
title: An Investigation into the Efficacy of Treatments for Atopic Eruption of Pregnancy

description: Objective To establish a predictive model that assess the treatment effectiveness for atopic eruption of pregnancy and evaluate the efficacy of current conventional therapies. Methods A retrospective analysis was conducted on the clinical data of 653 patients diagnosed with atopic eruption of pregnancy who were treated at Anhui Maternal and Child Health Hospital between January 2009 and January 2024. A total of 367 patients were categorized into the effective group based on their symptom improvement, while 286 patients were placed in the ineffective group. Multiple regression analyses were conducted to identify suitable predictors following data collection. A predictive model for atopic eruption of pregnancy and a validation model were subsequently established. Results In Lasso regression model, lambda 0.02388 and AUC value 0.8609; in Ling regression model, lambda.min 0.01245 and AUC value 0.8629; Lambda.1se 0.02388 and AUC value 0.8540; A good value prediction model can be selected by selecting the lambda values above according to the error bar diagram and coefficient trajectory diagram. The OR value calculated by single factor analysis showed that the mild disease severity had the highest efficacy (OR=1.26). Among the disease types, E type had the highest change effectiveness (OR=3.10), which could not be included in the prediction model through multivariate analysis. The three predictors of treatment effectiveness included after data cleaning were histopathological type, allergen screening, and treatment mode. The ROC curve's area under the curve (AUC) was observed to be 0.639 with a 95% confidence interval ranging from 0.598 to 0.681. The model demonstrated a sensitivity of 81.5% and a specificity of 41.6%. The Hosmer-Lemeshow goodness of fit test affirmed the model's excellent fit (P=1.000), and no statistical significance was found between the prediction probability and the observation proportion, substantiating the model's reliable calibration capability. The congruity between the working curve and the deviation correction curve in the calibration curve, along with their proximity to the ideal curve, signifies a high level of calibration in the nomogram. The clinical decision curve shows that this model predicts a net benefit. Conclusion There is a significant multicollinearity between disease severity and disease type, and both mild severity and E-type can directly predict treatment effectiveness. The prediction model constructed using histopathological type, allergen screening, and treatment mode demonstrates good predictive value for the effectiveness of treatment of atopic eruption of pregnancy. This model can be used to evaluate treatment effectiveness and provide a reference for clinicians in conducting clinical consultations and selecting appropriate treatment methods for the right patient population.
DOI: 10.5285/12298b52a84c482cbd274b44c866cbd1
title: WesCon: near-surface meteorology from Met Office automatic weather stations at 11 locations for the WesCon/WOEST measurement campaign.  v1.0 (20230414-20231004)

description: This dataset contains a continuous record of temporary in-house designed Met Office automatic weather stations (AWS) deployed at 11 locations in southern England during the summer of 2023 as part of the Wessex Summertime Convection Experiment (WesCon)/WesCon - Observing the Evolving Structures of Turbulence (WOEST) field campaign. 

The dataset contains recorded surface meteorology and (at six of the locations) subsoil sensors at 1 minute averaging period based around a 1.5 m mast.
Instruments at 1.5 m height include: (Chilbolton, Clench Common, Spire View, Yatesbury Field, Lydeway Field, Breach Hill, Keevil, Wadswick Farm, The Park Brown Shutters, Henstridge)
• PRT screened temperature sensor.
• Rotronics Hygroclip2 for measuring screened temperature and relative humidity.
• Bosch Sensortec BMP280 barometric pressure sensor.
• Rainfall is measured with a Hobo RG3 tipping-bucket gauge with a 0.2 mm accuracy.
• Horizontal wind speed and direction from a Gill WindSonic 2-D ultrasonic sensor.
Subsoil instrumentation (at six sites: Lydeway, Chilbolton, Keevil, Henstridge, The Park, Clench Common) includes:
• Delta-T PR2 probe measured volumetric soil moisture at various depths (10, 20, 30, 40 cm).
• Delta-T ST2 thermistor probes measured soil temperature at 1 cm depth.
• Hukseflux HFP01SC flux plate measured ground heat flux (2 cm depth).


To ensure optimal traceability and transparency of data, comprehensive metadata is included.
DOI: 10.15468/dl.gmw5by
title: Occurrence Download

description: A dataset containing 2711 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bubalus bubalis",
 "Country is Colombia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2711 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024644-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yf4mfs
title: Occurrence Download

description: A dataset containing 55 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bubalus bubalis",
 "Country is Nepal",
 "HasCoordinate is true"
 ]
}

 The dataset includes 55 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024645-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fxvxhk
title: Occurrence Download

description: A dataset containing 31072 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Nematoda"
 ]
}

 The dataset includes 31072 records from 131 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024646-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w45b4x
title: Occurrence Download

description: A dataset containing 1085 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pteronetta hartlaubii)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 1085 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024649-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16759158
title: High purity tungsten oxide production from low grade scheelite concentrates at pilot plant scale

description: Experimental data for manuscript "High purity tungsten oxide production from low grade scheelite concentrates at pilot plant scale"
DOI: 10.5281/zenodo.16759159
title: High purity tungsten oxide production from low grade scheelite concentrates at pilot plant scale

description: Experimental data for manuscript "High purity tungsten oxide production from low grade scheelite concentrates at pilot plant scale"
DOI: 10.15468/dl.ue9ryk
title: Occurrence Download

description: A dataset containing 18275 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pterophanes cyanopterus)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 18275 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024647-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.