cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.20350/digitalcsic/17830
title: RadonFAN data
title: RadonFAN - Intelligent Real-Time Radon Mitigation through IoT, Rule-Based Logic, and AI Forecasting

description: [Description of methods used for collection/generation of data] Through radon sensors, Raspberry Pi as control hub, ThingSpeak as could platform.
description: [Methods for processing the data] Timestamp alignment, missing-value imputation (kNN), smoothing, and normalization as described in the associated publication.
description: The dataset contains long-term indoor radon (Rn-222) measurements collected by the RadonFAN system in two underground galleries at ITEFI-CSIC (Madrid, Spain). Data were recorded every 10 minutes from October 2019 to December 2024 using low-cost radon sensors integrated into an IoT infrastructure. The dataset includes over 74,000 samples for Gallery 1 and 57,000 samples for Gallery 2, exhibiting different temporal dynamics: Gallery 1 shows relatively stable behavior, while Gallery 2 presents higher variability and faster radon increases. The dataset is designed for time-series classification, focusing on the anticipation of radon threshold exceedances for preventive ventilation control.
description: File List: RG1 for Gallery 1 and RG2 for Gallery 2.
DOI: 10.20350/digitalcsic/17833
title: Shoreline position and emerged/submerged beach profiles at Castell beach (2019–2022) [Dataset]

description: In this study, repeated topographic and bathymetric surveys were conducted to characterise shoreline position and beach morphology at Castell Beach (Catalonia, Spain) between 2019 and 2022. Six RTK-GNSS field campaigns were carried out to measure shoreline position and emerged beach topography, complemented by three echo-sounder bathymetric surveys to characterise the submerged beach. RTK-GNSS data were collected across the subaerial beach and swash zone, while single-beam and multibeam echo-sounder measurements were used to measure the shoreface. The resulting dataset includes shoreline positions and representative emerged and submerged beach profiles, which can be used to analyse coastal morphological changes. The data were used to calculate volume variations and shoreline displacements following two extreme storm events, as well as the subsequent recovery
description: Morphological variability on Mediterranean embayed sandy beaches is largely driven by wave storms and episodic sediment inputs from local streams during intense rainfall. While storm impacts are well documented, the combined influence of stream discharge, wave forcing and morphological response remains poorly understood. This study examines these interactions at Castell beach, one of the few non-urbanised, stream-fed embayed beaches on the northwestern Mediterranean, during two high-energy storms with heavy rainfall: December 2019 and January 2020 (Storm Gloria). Morphological changes in the subaerial and submerged beach, and stream dynamics were assessed using repeated RTK-GNSS surveys, orthophotos and echo-sounder bathymetry. Results show the stream mouth shifted along the beach (east, central or west) during heavy rainfall episodes depending on wave direction and pre-existing topography, tending toward more wave-sheltered zones. The storms induced contrasting responses: the first caused slight subaerial accretion, whereas Storm Gloria produced subaerial erosion and nearshore sediment deposition from both beach and stream sources. This material was subsequently reworked and reincorporated into the subaerial beach under calmer conditions, with full recovery by February 2022. These findings highlight the role of stream–wave interactions in sediment dynamics and the capacity of highly protected embayed beaches to adapt to extreme events
description: - readme.txt - castell_shorelineposition_ETRS89_UTM31N.txt - castell_emergedprofiles_ETRS89_UTM31N_EGM08D595.txt - castell_submergedprofiles_ETRS89_UTM31N_EGM08D595.txt
DOI: 10.20350/digitalcsic/17832
title: Biochemical data [dataset]

description: The dataset contains detailed information on adolescents (ages 11–16) of both sexes. Each record includes demographic, anthropometric, biochemical, and metabolic variables. Key categories include Sex (Female/Male) and Age, body measurements such as weight, height, body fat percentage, and BMI, biochemical parameters (fasting glucose, triglycerides, total cholesterol, LDL, HDL, HbA1c, fasting insulin), waist and hip circumferences and their ratio, blood pressure (systolic and diastolic), and several indices related to insulin resistance and sensitivity (HOMA-IR, McAuley, Quicki, G_I_ratio, Inv_HOMAIR, SPISE). The dataset also includes derived ratios and metrics that help assess body composition and insulin sensitivity. Overall, it provides a comprehensive view of the nutritional and metabolic status of adolescents, useful for studies on growth, obesity, and cardiometabolic risk.
DOI: 10.5281/zenodo.15600660
title: Utilize IoT, machine learning and hyperparameter optimization methods based on aquatic conditions to identify the ideal spots of floating net cages.

description: This dataset include:



DO (Dissolve Oxygen)

pH

Temperature

Target = Use for recomendation water condition 0 for Bad condition and 1 for Good condition
DOI: 10.5281/zenodo.15600661
title: Utilize IoT, machine learning and hyperparameter optimization methods based on aquatic conditions to identify the ideal spots of floating net cages.

description: This dataset include:



DO (Dissolve Oxygen)

pH

Temperature

Target = Use for recomendation water condition 0 for Bad condition and 1 for Good condition
DOI: 10.15468/dl.7qvdgz
title: Occurrence Download

description: A dataset containing 13281 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cupressus sempervirens",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 13281 records from 380 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059815-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rg6ce3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
(Query is too complex. Can be viewed on the landing page)

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059816-251120083545085/datasets/export for details.
DOI: 10.5281/zenodo.17982770
title: UHT-EPR Aneutronic Fusion Reactor V4: Clean Unlimited Power via β=0.128 Harmonic Torque, Plasmoid Seeding, Axion Dynamics EB Modulation, and ZPF-SED Vacuum Catalysis Attached Build Guide for Prototype Testing By Thomas F. Voloski III

description: This Version 4 repurposes the UHT-EPR (Universal Harmonic Theory with

EPR elements) framework for a dedicated aneutronic fusion reactor,

merging enhancements (18-40% Coulomb barrier reduction via tetraquark-

inspired torque and SED catalysis) with the VFRDX toroidal ZPE system,

upgraded with Axion Dynamics EB modulation and ZPF-SED vacuum

engineering for unlimited clean power generation. No radioactive waste or

neutrons—instead, β=0.128 phase-sync torque, ER-bridge entanglement,

resonant axion-photon mixing in ultrahigh B-fields, and SED-driven ZPF

fluctuations enable efficient p-¹¹B fusion (p + ¹¹B → 3α + 8.7 MeV) with

runaway Q>4 breakeven. Plasmoids, stabilized via ZPF MEMs arrays,

prime ultra-high B-fields (10⁶–10⁸ T) and variable ZPE voids for catalyzed

quantum tunneling. Scalable from lab prototypes to grid-scale plants.

Predictions: 20–30% efficiency boost, net MJ outputs at sub-MJ inputs,

direct alpha-to-electricity conversion >90%. Includes updated Python/

QuTiP simulation for fusion yields, incorporating axion and ZPF boosts.

Introduction

Traditional fusion reactors (e.g., tokamaks, stellarators) struggle with

neutron waste, high inputs, and containment. UHT-EPR V4 shifts to pureaneutronic power by scaling quantum harmonic torques to macroscopic

fusion via positive-energy plasma and resonant ZPE modulation, amplified

by axion electrodynamics and ZPF-SED for vacuum-catalyzed reactions.

The result: a self-sustaining reactor where plasmoids forge clean alphas in

engineered vacuum “holes,” outputting unlimited electricity without fission

risks or fuel depletion.
DOI: 10.5281/zenodo.17982771
title: UHT-EPR Aneutronic Fusion Reactor V4: Clean Unlimited Power via β=0.128 Harmonic Torque, Plasmoid Seeding, Axion Dynamics EB Modulation, and ZPF-SED Vacuum Catalysis Attached Build Guide for Prototype Testing By Thomas F. Voloski III

description: This Version 4 repurposes the UHT-EPR (Universal Harmonic Theory with

EPR elements) framework for a dedicated aneutronic fusion reactor,

merging enhancements (18-40% Coulomb barrier reduction via tetraquark-

inspired torque and SED catalysis) with the VFRDX toroidal ZPE system,

upgraded with Axion Dynamics EB modulation and ZPF-SED vacuum

engineering for unlimited clean power generation. No radioactive waste or

neutrons—instead, β=0.128 phase-sync torque, ER-bridge entanglement,

resonant axion-photon mixing in ultrahigh B-fields, and SED-driven ZPF

fluctuations enable efficient p-¹¹B fusion (p + ¹¹B → 3α + 8.7 MeV) with

runaway Q>4 breakeven. Plasmoids, stabilized via ZPF MEMs arrays,

prime ultra-high B-fields (10⁶–10⁸ T) and variable ZPE voids for catalyzed

quantum tunneling. Scalable from lab prototypes to grid-scale plants.

Predictions: 20–30% efficiency boost, net MJ outputs at sub-MJ inputs,

direct alpha-to-electricity conversion >90%. Includes updated Python/

QuTiP simulation for fusion yields, incorporating axion and ZPF boosts.

Introduction

Traditional fusion reactors (e.g., tokamaks, stellarators) struggle with

neutron waste, high inputs, and containment. UHT-EPR V4 shifts to pureaneutronic power by scaling quantum harmonic torques to macroscopic

fusion via positive-energy plasma and resonant ZPE modulation, amplified

by axion electrodynamics and ZPF-SED for vacuum-catalyzed reactions.

The result: a self-sustaining reactor where plasmoids forge clean alphas in

engineered vacuum “holes,” outputting unlimited electricity without fission

risks or fuel depletion.
DOI: 10.5517/ccdc.csd.cc2jscvk
title: CCDC 2347129: Experimental Crystal Structure Determination

description: Related Article: Chen-Yin Ma, Xue Bai, Li-Ping Liu, Ai-Ping Luo, Yin-Xia Sun, Zhe-Peng Deng, Li Xu, Wen-Kui Dong|2026|J.Mol.Struct.|1355||doi:10.1016/j.molstruc.2025.145072
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.hgu2x7
title: Occurrence Download

description: A dataset containing 909 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cycas revoluta",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 909 records from 139 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059817-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vpdb8j
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Global Register of Introduced and Invasive Species - Mexico"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059818-251120083545085/datasets/export for details.
DOI: 10.5281/zenodo.16412462
title: HABIT Database

description: HABIT Database for Kim, Miyauchi, et al. 

GitHub Repository: https://github.com/skimROSD/HABIT_Database
DOI: 10.5281/zenodo.16412463
title: HABIT Database

description: HABIT Database for Kim, Miyauchi, et al. 

GitHub Repository: https://github.com/skimROSD/HABIT_Database
DOI: 10.15468/dl.tqde5b
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Begonia longanensis"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059819-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30918144
title: Activating prejudice awareness in teacher education to foster critical reflections: an analysis of a student-centred assignment

description: In this article, we argue that raising preservice teachers’ awareness of their own prejudices may serve as an initial step towards more critically informed and socially just pedagogical decisions in future classrooms. We explore how a student-centred assignment in teacher education can activate implicit prejudice against marginalised groups. Data was collected from 32 groups across three teacher education programmes. In the assignment, preservice teachers were asked to rank potential tenants for a basement apartment. Each tenant was described using ambiguous identity markers, often associated with housing discrimination. The aim was to trigger implicit prejudice and ultimately reduce it. Using critical theory for social justice and theories of prejudice, our analysis shows that none of the identity markers led to positive associations. However, some markers (substance abuse, mental health issues, Nazi affiliation, Roma identity, youth and families with small children) triggered negative prejudice. Preservice teachers moreover highlighted the limited information provided, feelings of trust, safety, and control and morality as factors influencing their ranking. We conclude that the preservice teachers, through the assignment, developed an awareness of their prejudice towards vulnerable groups in society. The assignment can inspire preservice teachers to create similar tasks, helping their future students develop critical social awareness.
DOI: 10.6084/m9.figshare.30918144.v1
title: Activating prejudice awareness in teacher education to foster critical reflections: an analysis of a student-centred assignment

description: In this article, we argue that raising preservice teachers’ awareness of their own prejudices may serve as an initial step towards more critically informed and socially just pedagogical decisions in future classrooms. We explore how a student-centred assignment in teacher education can activate implicit prejudice against marginalised groups. Data was collected from 32 groups across three teacher education programmes. In the assignment, preservice teachers were asked to rank potential tenants for a basement apartment. Each tenant was described using ambiguous identity markers, often associated with housing discrimination. The aim was to trigger implicit prejudice and ultimately reduce it. Using critical theory for social justice and theories of prejudice, our analysis shows that none of the identity markers led to positive associations. However, some markers (substance abuse, mental health issues, Nazi affiliation, Roma identity, youth and families with small children) triggered negative prejudice. Preservice teachers moreover highlighted the limited information provided, feelings of trust, safety, and control and morality as factors influencing their ranking. We conclude that the preservice teachers, through the assignment, developed an awareness of their prejudice towards vulnerable groups in society. The assignment can inspire preservice teachers to create similar tasks, helping their future students develop critical social awareness.
DOI: 10.6084/m9.figshare.30213783
title: Factors Related to International Trafficking

description: International human trafficking is a growing problem, driven by conflict, forced migration, and increasing numbers of refugees. Using data from the US Department of State’s Trafficking in Persons reports, we study human trafficking in the context of three possible explanatory variables: a common language, cost of transportation, and difference in national median income. All three factors are predictive of trafficking flows. These findings provide useful information for mitigation policies.
DOI: 10.6084/m9.figshare.30213783.v1
title: Factors Related to International Trafficking

description: International human trafficking is a growing problem, driven by conflict, forced migration, and increasing numbers of refugees. Using data from the US Department of State’s Trafficking in Persons reports, we study human trafficking in the context of three possible explanatory variables: a common language, cost of transportation, and difference in national median income. All three factors are predictive of trafficking flows. These findings provide useful information for mitigation policies.
DOI: 10.15468/dl.bmnku5
title: Occurrence Download

description: A dataset containing 2050 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eucalyptus cinerea",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 2050 records from 104 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059820-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.25a46v
title: Occurrence Download

description: A dataset containing 693 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eucalyptus dunnii",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 693 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059821-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17958062
title: benthic carbon isotope and SNW-based [CO32−] for Site GC03 since ~30 ka.

description: Site GC03 is located on the northern South China Sea at 19.8°N, 115.2°E and 1,365 m water depth. This age model is based on thirteen radiocarbon dates obtained from mixed planktonic foraminifera (Globigerinoides ruber and Trilobatus sacculifer). The δ13C data were generated from epibenthic foraminifera Cibicidoides wuellerstorfi, using Thermo Scientific MAT 253 mass spectrometer. [CO32−] is determined using an empirical formula that relates the size-normalized weight of Trilobatus sacculifer to Δ[CO32−], then combined with core-top calibration.
DOI: 10.5281/zenodo.17982889
title: benthic carbon isotope and SNW-based [CO32−] for Site GC03 since ~30 ka.

description: Site GC03 is located on the northern South China Sea at 19.8°N, 115.2°E and 1,365 m water depth. This age model is based on thirteen radiocarbon dates obtained from mixed planktonic foraminifera (Globigerinoides ruber and Trilobatus sacculifer). The δ13C data were generated from epibenthic foraminifera Cibicidoides wuellerstorfi, using Thermo Scientific MAT 253 mass spectrometer. [CO32−] is determined using an empirical formula that relates the size-normalized weight of Trilobatus sacculifer to Δ[CO32−], then combined with core-top calibration.
DOI: 10.15468/dl.mev8vh
title: Occurrence Download

description: A dataset containing 191116 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Raphanus raphanistrum"
 ]
}

 The dataset includes 191116 records from 1761 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059777-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bf722v
title: Occurrence Download

description: A dataset containing 4208 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Parmotrema tinctorum (Despr. ex Nyl.) Hale, Peltigera horizontalis (Huds.) Baumg., Pertusaria alpina Hepp)",
 "Geometry POLYGON((-9.36035 44.71551,-10.59082 42.81152,-11.82129 36.80928,-7.69043 36.17336,-3.38379 35.88905,3.12012 38.13456,9.18457 38.20366,11.7334 37.16032,12.78809 34.74161,17.09473 33.79741, 23.15918 34.23451,30.10254 32.62087,33.2666 32.99024,35.72754 35.03,33.00293 35.53223,28.69629 35.17381,28.34473 36.31513,25.7959 37.50973,24.91699 39.90974,28.78418 40.6473,30.71777 41.17865,36.87012 45.213,38.18848 46.98025,38.71582 47.7541,39.94629 47.93107,40.20996 49.61071,37.0459 50.34546,35.72754 50.40152,33.79395 52.26816,31.68457 51.94426,31.4209 53.27835,32.56348 53.43572,30.98145 54.77535,30.89355 55.52863,28.43262 56.02295,27.20215 57.65716,27.37793 58.30949,27.90527 59.17593,29.66309 59.88894,27.6416 60.58697,31.50879 62.75473,28.78418 69.83962,30.89355 70.28912,29.22363 71.55274,21.75293 71.30079,14.28223 70.14036,11.38184 67.47492,4.87793 63.66576,-5.53711 71.52491,-10.63477 71.69129,-21.5332 67.74276,-28.56445 65.36684,-24.3457 61.35461,-9.36035 44.71551))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2021"
 ]
}

 The dataset includes 4208 records from 135 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0168108-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ufxsgz
title: Occurrence Download

description: A dataset containing 1198 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ariosoma anago (Temminck & Schlegel, 1846)"
 ]
}

 The dataset includes 1198 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084961-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3gqdbj
title: Occurrence Download

description: A dataset containing 122 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Chinese Taipei, Hong Kong)",
 "TaxonKey is Neptis themis Leech, 1893"
 ]
}

 The dataset includes 122 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0140810-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wwsd2u
title: Occurrence Download

description: A dataset containing 110616 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Solanum lycopersicum L."
 ]
}

 The dataset includes 110616 records from 654 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0399270-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.