cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18160/zhzf-kxcq
title: European Obspack compilation of atmospheric carbon monoxide data from ICOS stations for the period 2016-2025; obspack_co_466_ICOSFT2025.3_20251003

description: This data package contains high accuracy CO dry air mole fractions from 37 ICOS European observatories at in total 88 observation levels, collected by the ICOS Atmosphere Thematic Centre (ATC) and provided by the station contributors. The package includes the 2025.3 FastTrack update of the Globalview EU data product and is intended for use in carbon cycle inverse modeling, model evaluation, and satellite validation studies. Please report errors and send comments regarding this product to the ObsPack originators. Please read carefully the ObsPack Fair Use statement and cite appropriately. Please review the release notes for the associated Obspack product at www.esrl.noaa.gov/gmd/ccgg/obspack/release_notes.html. Metadata for this product are available at https://commons.datacite.org/doi.org/10.18160/ZHZF-KXCQ. Please visit http://www.gml.noaa.gov/ccgg/obspack/ for more information on Obspack.
DOI: 10.26023/p3y9-d72b-b00a
title: PLOWS: NOAA/NCEP GFS Ensemble Model Forecast Imagery. Version 1.0

description: This data set contains the several forecast images products from the NOAA/NCEP GFS Ensemble. The products include precipitation (ensemble mean and standard deviation), 500mb heights (ensemble mean), 500 mb heights (spaghetti), mean sea level pressure and 1000-500 mb thickness (ensemble mean). The products are available every 24 hours out to the 240 hour forecast. The images were created by NOAA/ESRL/PSD. This data set contains imagery from the two PLOWS field phases, 6 February to 30 March 2009 and 14 October 2009 to 10 March 2010. No imagery are available for the period between the field phases.
DOI: 10.18160/3tb5-d6tm
title: European Obspack compilation of atmospheric methane data from ICOS stations for the period 1984-2025; obspack_ch4_466_ICOSFT2025.3_20251003

description: This data package contains high accuracy CH4 dry air mole fractions from 39 ICOS European observatories at in total 96 observation levels, collected by the ICOS Atmosphere Thematic Centre (ATC) and provided by the station contributors. The package includes the 2025.3 FastTrack update of the Globalview EU data product and is intended for use in carbon cycle inverse modeling, model evaluation, and satellite validation studies. Please report errors and send comments regarding this product to the ObsPack originators. Please read carefully the ObsPack Fair Use statement and cite appropriately. Please review the release notes for the associated Obspack product at www.esrl.noaa.gov/gmd/ccgg/obspack/release_notes.html. Metadata for this product are available at https://commons.datacite.org/doi.org/10.18160/3TB5-D6TM. Please visit http://www.gml.noaa.gov/ccgg/obspack/ for more information on Obspack.
DOI: 10.15468/dl.vgryu8
title: Occurrence Download

description: A dataset containing 2443 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-77.88282 -18.5325,-67.94503 -18.5325,-67.94503 -12.77522,-77.88282 -12.77522,-77.88282 -18.5325))",
 "HasGeospatialIssue is false",
 "TaxonKey is Catamenia inornata",
 "Year 2020-2025"
 ]
}

 The dataset includes 2443 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043532-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26023/z7yv-hpkj-8j0q
title: PLOWS: Automated Surface Observing Systems (ASOS) 1-minute Data. Version 1.0

description: This data set contains 1-minute resolution surface meteorological data from the Automated Surface Observing System (ASOS) stations located across the United States, including Guam. These data were retrieved from the National Climatic Data Center (NCDC) for the PLOWS period (February and March 2009 and November 2009 through March 2010; no data are available for the period in between). Each of the two types of files, om1 and om2, consists of a compressed tar file containing one month of data, with individual files for each station in the United States. The data are in ASCII format.
DOI: 10.15468/dl.advx32
title: Occurrence Download

description: A dataset containing 882439 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Human Observation",
 "GadmGid is ESP.16_1",
 "Year is greater than or equal to 2021",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 882439 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043490-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/8k88zmnm68
title: Microbial-redox synergy: a new mechanism for dolomitization in microbialites after the end-Permian extinction

description: Statistical analysis of framboidal pyrite size distribution and oxidation degree, and examination of their relationships with organic matter content and the Mg/(Mg+Ca) ratio in the samples.
DOI: 10.17632/8k88zmnm68.1
title: Microbial-redox synergy: a new mechanism for dolomitization in microbialites after the end-Permian extinction

description: Statistical analysis of framboidal pyrite size distribution and oxidation degree, and examination of their relationships with organic matter content and the Mg/(Mg+Ca) ratio in the samples.
DOI: 10.18160/r0pe-1h0z
title: European Obspack compilation of atmospheric carbon dioxide data from ICOS stations for the period 1972-2025; obspack_co2_466_ICOSFT2025.3_20251003

description: This data package contains high accuracy CO2 dry air mole fractions from 39 ICOS European observatories at in total 95 observation levels, collected by the ICOS Atmosphere Thematic Centre (ATC) and provided by the station contributors. The package includes the 2025.3 FastTrack update of the Globalview EU data product and is intended for use in carbon cycle inverse modeling, model evaluation, and satellite validation studies. Please report errors and send comments regarding this product to the ObsPack originators. Please read carefully the ObsPack Fair Use statement and cite appropriately. Please review the release notes for the associated Obspack product at www.esrl.noaa.gov/gmd/ccgg/obspack/release_notes.html. Metadata for this product are available at https://commons.datacite.org/doi.org/10.18160/R0PE-1H0Z. Please visit http://www.gml.noaa.gov/ccgg/obspack/ for more information on Obspack.
DOI: 10.15468/dl.vdb778
title: Occurrence Download

description: A dataset containing 16662289 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aves",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2016",
 "Year is less than or equal to 2021",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Country is United Kingdom of Great Britain and Northern Ireland",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 16662289 records from 108 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043491-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26023/586v-rryt-ps02
title: PLOWS: NOAA/NCEP GFS Model Forecast Imagery. Version 1.0

description: This data set contains the several forecast image products from the NOAA/NCEP GFS model. The products include 300mb heights/wind, 500mb heights/vorticity/wind, 700 mb heights/humidity/wind, 850mb heights/temperature/wind, mean sea level pressure/1000-500 mb thickness/precipitation, and surface winds/temperature/MSLP. The products are available every 6 hours out to the 180 hour forecast and every 12 hours from 180-204 hours. The images were created by NOAA/NCEP. his data set contains imagery from the two PLOWS field phases, 6 February to 30 March 2009 and 14 October 2009 to 10 March 2010. No imagery are available for the period between the field phases.
DOI: 10.17632/2hfv7wftph
title: Table 1 associated references

description: Mendeley supplementary table I - associated references for table 1 (48-hour itch improvement with FDA-approved therapies for atopic dermatitis and prurigo nodularis)
DOI: 10.17632/2hfv7wftph.1
title: Table 1 associated references

description: Mendeley supplementary table I - associated references for table 1 (48-hour itch improvement with FDA-approved therapies for atopic dermatitis and prurigo nodularis)
DOI: 10.17632/67xmhjhk9t.2
title: Vaccine hesitancy and refusal among parents of children aged 5-11: evidence from the COVID-19 pandemic in the Southern part of Italy.

description: The dataset was used in a cross-sectional study primarily aimed to evaluate parental hesitancy and refusal regarding COVID-19 vaccination for children. This study was conducted, between May and September 2022 in amog a sample of parents of children between 5 and 11 years of the Calabria Region. The information was collected through a online questionnaire that was filled in by respondents. The online survey was available on the school's web site home page and electronic register of classes, in addition in order to reach partecipants who did not use the Internet, data collection was also carried out using a papare questionnaire. An anonymous and structured questionnaire was used, comprising of five sections: (1) the first section gathered data on demographic characteristics; (2) the second section aimed to assess parents' knowledge regarding COVID-19 and vaccination in children; (3) the third section evaluated concer and beliefe regarding the risk of COVID-19 and immunization and children; (4) the fourth section explored the COVID-19 vaccination history of the parental and his/her child, and the intentions, if any, to vaccinate him/her, along with reason for thir decision; (5) the fifth section collected data on vaccination information sources and whether parents felt in need of additional information.
DOI: 10.17632/9sdgzsvg3m
title: CRO Adoption in London Startups – Survey

description: This dataset contains responses from 102 participants collected as part of a dissertation project examining the factors influencing organisational adoption of Conversion Rate Optimisation (CRO) practices. The study applies the Technology–Organisation–Environment (TOE) framework, exploring the impact of technological, organisational, and environmental determinants on adoption behaviour. The dataset includes demographic and firmographic information, perceptions of technological advantage, complexity, and compatibility, as well as organisational readiness (resources, knowledge, innovativeness) and environmental pressures (competition, firm size, revenue).

Data Collection Methodology:
Survey data were collected via an online questionnaire distributed to firms across industries. Respondents provided information on their firm’s size, industry, revenue, CRO usage or intent to adopt, and perceptions of various TOE sub-factors using Likert-type scales. Responses were anonymised prior to analysis.

Data Type:
Quantitative survey responses (numeric scales, categorical values, free-text open responses).

File Format:
CSV (.csv) — 24 columns, 102 rows.

Variables (selected):
 • Participant Number — unique respondent ID.
 • Q1 (Industry experience) — years of business operation.
 • Q2 (Size) — firm size in employees (categorical, recoded to numeric midpoints).
 • Q3 (Revenue) — annual revenue band (categorical, recoded to numeric midpoints).
 • Q5 (Adoption status) — whether firm currently uses CRO.
 • Q7 (Intention to adopt) — future intention to adopt CRO.
 • Q10_1 (Advantage) — perceived relative advantage of CRO.
 • Q10_2 (Complexity) — perceived complexity of CRO.
 • Q10_3 (Compatibility) — perceived compatibility with existing systems.
 • Q11 & 12_1 (Innovativeness) — firm’s openness to innovation.
 • Q11 & 12_2 (Resources) — perceived adequacy of resources for CRO.
 • Q11 & 12_3 (Knowledge) — staff knowledge/skills for CRO.
 • Q11 & 12_4 (Competition) — perceived competitive pressure.
 • Derived variables: Log_Size, Log_Revenue, and binary Adopt (coded from Q5 and Q7).

Potential Uses:
The dataset can be used to:
 • Replicate logistic regression models predicting adoption under the TOE framework.
 • Explore relationships between firm characteristics and adoption intent.
 • Serve as a reference dataset for studies on digital marketing, innovation adoption, or CRO.

Limitations:
 • Sample size (n = 102) may limit generalisability.
 • Responses are self-reported and subject to perception bias.
 • Certain items (Q6, Q9, Q13–Q15) contain open-text responses that may require qualitative coding for reuse.

Ethics & Anonymisation:
No personally identifiable information (PII) is included. Data were collected with informed consent, and open-text fields have been anonymised where necessary.
DOI: 10.17632/9sdgzsvg3m.1
title: CRO Adoption in London Startups – Survey

description: This dataset contains responses from 102 participants collected as part of a dissertation project examining the factors influencing organisational adoption of Conversion Rate Optimisation (CRO) practices. The study applies the Technology–Organisation–Environment (TOE) framework, exploring the impact of technological, organisational, and environmental determinants on adoption behaviour. The dataset includes demographic and firmographic information, perceptions of technological advantage, complexity, and compatibility, as well as organisational readiness (resources, knowledge, innovativeness) and environmental pressures (competition, firm size, revenue).

Data Collection Methodology:
Survey data were collected via an online questionnaire distributed to firms across industries. Respondents provided information on their firm’s size, industry, revenue, CRO usage or intent to adopt, and perceptions of various TOE sub-factors using Likert-type scales. Responses were anonymised prior to analysis.

Data Type:
Quantitative survey responses (numeric scales, categorical values, free-text open responses).

File Format:
CSV (.csv) — 24 columns, 102 rows.

Variables (selected):
 • Participant Number — unique respondent ID.
 • Q1 (Industry experience) — years of business operation.
 • Q2 (Size) — firm size in employees (categorical, recoded to numeric midpoints).
 • Q3 (Revenue) — annual revenue band (categorical, recoded to numeric midpoints).
 • Q5 (Adoption status) — whether firm currently uses CRO.
 • Q7 (Intention to adopt) — future intention to adopt CRO.
 • Q10_1 (Advantage) — perceived relative advantage of CRO.
 • Q10_2 (Complexity) — perceived complexity of CRO.
 • Q10_3 (Compatibility) — perceived compatibility with existing systems.
 • Q11 & 12_1 (Innovativeness) — firm’s openness to innovation.
 • Q11 & 12_2 (Resources) — perceived adequacy of resources for CRO.
 • Q11 & 12_3 (Knowledge) — staff knowledge/skills for CRO.
 • Q11 & 12_4 (Competition) — perceived competitive pressure.
 • Derived variables: Log_Size, Log_Revenue, and binary Adopt (coded from Q5 and Q7).

Potential Uses:
The dataset can be used to:
 • Replicate logistic regression models predicting adoption under the TOE framework.
 • Explore relationships between firm characteristics and adoption intent.
 • Serve as a reference dataset for studies on digital marketing, innovation adoption, or CRO.

Limitations:
 • Sample size (n = 102) may limit generalisability.
 • Responses are self-reported and subject to perception bias.
 • Certain items (Q6, Q9, Q13–Q15) contain open-text responses that may require qualitative coding for reuse.

Ethics & Anonymisation:
No personally identifiable information (PII) is included. Data were collected with informed consent, and open-text fields have been anonymised where necessary.
DOI: 10.15468/dl.6k8rmk
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation, Living Specimen)",
 "CoordinateUncertaintyInMeters 0.0-1000.0",
 "Country is Italy",
 "TaxonKey is Reynoutria bohemica",
 "Year 2000-2025"
 ]
}

 The dataset includes 12 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043533-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qdnybr
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Crotalaria juncea",
 "Country is Marshall Islands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043535-250920141307145/datasets/export for details.
DOI: 10.17632/9kgzcwtvm7
title: A Comprehensive Dataset of Transportation Mode Choice

description: This is the survey data from Pabna Municipality, Bangladesh. Regarding the psychological determinant of transport mode choice within the municipality. This one is very crucial for researchers to understand the traffic pattern and needed for public transport over private existings.
DOI: 10.17632/9kgzcwtvm7.1
title: A Comprehensive Dataset of Transportation Mode Choice

description: This is the survey data from Pabna Municipality, Bangladesh. Regarding the psychological determinant of transport mode choice within the municipality. This one is very crucial for researchers to understand the traffic pattern and needed for public transport over private existings.
DOI: 10.15468/dl.fs85xs
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Crotalaria juncea",
 "Country is Niue",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043536-250920141307145/datasets/export for details.
DOI: 10.17632/xprp9p5jg4.1
title: A Deep Reinforcement Learning Framework for Dynamic Portfolio Optimization: A Cross-Market Analysis

description: This dataset contains the complete implementation code and data for the research paper "A Deep Reinforcement Learning Framework for Dynamic Portfolio Optimization: A Cross-Market Analysis".
DOI: 10.26023/spae-t7f6-3k0m
title: PLOWS: NOAA/NCEP NAM Model Forecast Imagery. Version 1.0

description: This data set contains the several forecast image products from the NOAA/NCEP NAM model. The products include 300mb heights/wind, 500mb heights/vorticity/wind, 700 mb heights/humidity/wind, 850mb heights/temperature/wind, mean sea level pressure/1000-500 mb thickness/precipitation, and surface winds/temperature/MSLP. The products are available every 6 hours out to the 84 hour forecast. The images were created by NOAA/NCEP. During PLOWS 2009-2010 the simulated reflectivity product is also included. This data set contains imagery from the two PLOWS field phases, 5 February to 30 March 2009 and 12 October 2009 to 10 March 2010. No imagery are available for the period between the field phases.
DOI: 10.17632/smz867vz3r
title: Data for Tracing Serpentinite Recycling through Heavy Molybdenum Isotopes in Intraplate Basalts

description: The Supplementary Material contains: Measured Mo contents and isotopes for NIST 3134, seawater, AGV-2 and W-2a in this study (Table S1); Major-trace elements and Mo-O isotopic data for intraplate alkali basalts from eastern NCB (Table 1); Whole-rock Rb-Sr and Sm-Nd isotope compositions for intraplate basalts from eastern NCB (Table 2); Summary of input parameters for the mixing calculations to understand how much subducted serpentinite is added to the mantle source of intraplate alkali basalts from eastern NCB with heavy Mo isotopes (Table 3).
DOI: 10.17632/smz867vz3r.1
title: Data for Tracing Serpentinite Recycling through Heavy Molybdenum Isotopes in Intraplate Basalts

description: The Supplementary Material contains: Measured Mo contents and isotopes for NIST 3134, seawater, AGV-2 and W-2a in this study (Table S1); Major-trace elements and Mo-O isotopic data for intraplate alkali basalts from eastern NCB (Table 1); Whole-rock Rb-Sr and Sm-Nd isotope compositions for intraplate basalts from eastern NCB (Table 2); Summary of input parameters for the mixing calculations to understand how much subducted serpentinite is added to the mantle source of intraplate alkali basalts from eastern NCB with heavy Mo isotopes (Table 3).
DOI: 10.15468/dl.gk2nsy
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Crotalaria juncea",
 "Country is Maldives",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043534-250920141307145/datasets/export for details.
DOI: 10.15468/dl.umb424
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "VerbatimScientificName is one of (Atopogales cubanus, Solenodon cubanus)"
 ]
}

 The dataset includes 24 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043537-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/w2ktk6wsp3
title: Taller Razonamiento Cuantitativo

description: El Taller de Razonamiento Cuantitativo introduce a los estudiantes de primer semestre en el uso de la estadística descriptiva como herramienta fundamental para organizar, resumir e interpretar datos. A través del análisis de frecuencias, representaciones gráficas y medidas estadísticas (tendencia central y posición), los participantes aprenderán a transformar información en conocimiento útil para la toma de decisiones.

El taller tiene una duración de dos sesiones (4 horas) y se desarrolla de forma práctica, trabajando con bases de datos reales (Kaggle) para elaborar tablas, histogramas, polígonos de frecuencias y cálculos de media, mediana, moda, percentiles y cuartiles.

Al finalizar, los estudiantes estarán en capacidad de:

Organizar datos en tablas de frecuencias.

Representar información mediante gráficos estadísticos.

Calcular e interpretar indicadores básicos.

Elaborar un informe académico breve con análisis descriptivo.
DOI: 10.17632/w2ktk6wsp3.1
title: Taller Razonamiento Cuantitativo

description: El Taller de Razonamiento Cuantitativo introduce a los estudiantes de primer semestre en el uso de la estadística descriptiva como herramienta fundamental para organizar, resumir e interpretar datos. A través del análisis de frecuencias, representaciones gráficas y medidas estadísticas (tendencia central y posición), los participantes aprenderán a transformar información en conocimiento útil para la toma de decisiones.

El taller tiene una duración de dos sesiones (4 horas) y se desarrolla de forma práctica, trabajando con bases de datos reales (Kaggle) para elaborar tablas, histogramas, polígonos de frecuencias y cálculos de media, mediana, moda, percentiles y cuartiles.

Al finalizar, los estudiantes estarán en capacidad de:

Organizar datos en tablas de frecuencias.

Representar información mediante gráficos estadísticos.

Calcular e interpretar indicadores básicos.

Elaborar un informe académico breve con análisis descriptivo.