cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7948048
title: EEG Recordings of Exposure to Unrealistic, Semi-realistic and Realistic Character Faces - A Pilot Study

description: This dataset contains the recordings of the EEG signal collected in the 2023 study "Investigating the Uncanny Valley Phenomenon Through the Temporal Dynamics of Neural Responses to Virtual Characters" published in the IEEE Conference on Games proceedings.

The experimental procedure and the analysis scripts can be found at https://github.com/itubrainlab/uncanny-face-eeg

Follow-up (full) study

This dataset contains only data from the first pilot study on the Uncanny Valley; you can find the dataset of the full follow-up study at https://zenodo.org/records/14864689
DOI: 10.5281/zenodo.7948049
title: Investigating the Uncanny Valley Phenomenon Through the Temporal Dynamics of Neural Responses to Virtual Characters

description: This dataset contains the recordings of the EEG signal collected in the 2023 study "Investigating the Uncanny Valley Phenomenon Through the Temporal Dynamics of Neural Responses to Virtual Characters" published in the IEEE Conference on Games proceedings. The experimental procedure and the analysis scripts can be found at https://github.com/itubrainlab/uncanny-face-eeg
DOI: 10.5281/zenodo.7948158
title: EEG Recordings of Exposure to Unrealistic, Semi-realistic and Realistic Character Faces - A Pilot Study

description: This dataset contains the recordings of the EEG signal collected in the 2023 study "Investigating the Uncanny Valley Phenomenon Through the Temporal Dynamics of Neural Responses to Virtual Characters" published in the IEEE Conference on Games proceedings.

The experimental procedure and the analysis scripts can be found at https://github.com/itubrainlab/uncanny-face-eeg

Follow-up (full) study

This dataset contains only data from the first pilot study on the Uncanny Valley; you can find the dataset of the full follow-up study at https://zenodo.org/records/14864689
DOI: 10.25377/sussex.26349541
title: Aggregated dataset for 'Mapping the ‘business of development’: The geography of UK for-profit development contractors'

description: Data for paper in <i>Finance and Space, 1(1), 489–493 (Dec 2024)</i>This database, which was collated from open and proprietary datasets before being cleaned, includes 915 contracts awarded to UK-based private sector contractors by the UK’s Foreign, Commonwealth and Development Office (formerly Department for International Development), between 1st January 2012 and 31st December 2022. The data includes contract award totals by firm, and the registered addresses and regional locations of firms that win UK aid contract awards.AbstractThis financial visualisation (FinVis) shows the geographical distribution of the UK’s top for-profit development contractors. Using a novel database, we map the location and value of 915 contracts awarded to UK-based private sector contractors by the UK’s Foreign, Commonwealth and Development Office (formerly the Department for International Development). It shows the geography of firms capturing aid finance, concentrated in London and the southeast of England. It contributes to understanding ‘aid contractor assemblages’ (cf. Roberts, S. M. 2014. Development Capital: USAID and the Rise of Development Contractors. <i>Annals of The Association of American Geographers</i>, <i>104</i>(5), 1030–1051), and the knowledge economies and networks of firms which have become increasingly powerful in shaping a market around the ‘business of development’.
DOI: 10.25377/sussex.26349541.v1
title: Aggregated dataset for 'Mapping the ‘business of development’: The geography of UK for-profit development contractors'

description: Data for paper in <i>Finance and Space, 1(1), 489–493 (Dec 2024)</i>This database, which was collated from open and proprietary datasets before being cleaned, includes 915 contracts awarded to UK-based private sector contractors by the UK’s Foreign, Commonwealth and Development Office (formerly Department for International Development), between 1st January 2012 and 31st December 2022. The data includes contract award totals by firm, and the registered addresses and regional locations of firms that win UK aid contract awards.AbstractThis financial visualisation (FinVis) shows the geographical distribution of the UK’s top for-profit development contractors. Using a novel database, we map the location and value of 915 contracts awarded to UK-based private sector contractors by the UK’s Foreign, Commonwealth and Development Office (formerly the Department for International Development). It shows the geography of firms capturing aid finance, concentrated in London and the southeast of England. It contributes to understanding ‘aid contractor assemblages’ (cf. Roberts, S. M. 2014. Development Capital: USAID and the Rise of Development Contractors. <i>Annals of The Association of American Geographers</i>, <i>104</i>(5), 1030–1051), and the knowledge economies and networks of firms which have become increasingly powerful in shaping a market around the ‘business of development’.
DOI: 10.6084/m9.figshare.28408292
title: Encuestas de motivación y utilidad para el aprendizaje basado en retos reales. Tabla 1 - Encuesta estudiantes universitarios

description: Encuestas para los Estudiantes universitarios del estudio "Implementación del aprendizaje basado en retos reales en la docéncia universitária" - "Encuestas de motivación y utilidad para el aprendizaje basado en retos reales"El objetivo del estudio fue crear, validar y demostrar la fiabilidad de encuestas que valorasen la motivación, la percepción del aprendizaje y de la utilidad de la metodología del aprendizaje basado en retos reales (ABRR) tras su la aplicación en el grado universitario de Ciencias de la Actividad Física y el Deporte. Los retos reales los propusieron centros educativos y fueron resueltos e implementados por estudiantes universitarios. La validación la realizaron doce expertos y para establecer su fiabilidad se realizaron test-retests a los estudiantes universitarios y al profesorado de los centros educativos aplicando la comparación estadística χ2 de Pearson por preguntas y temas. Los resultados de la validación fueron tres encuestas: para los estudiantes universitarios (18 preguntas), para el profesorado de escuelas e institutos (28 preguntas) y para su alumnado (16 preguntas). Todas fueron conformadas por preguntas tipo likert y abiertas. Los resultados del χ2 mostraron buena fiabilidad (p ≥ 0,05). El estudio demostró su validez con relación al contenido y estructura, así como buena fiabilidad para analizar la motivación, la percepción del aprendizaje y la utilidad del ABRR desde la perspectiva de los estudiantes universitarios, los docentes de los centros educativos y su alumnado. Puesto que mostraron rigurosidad suficiente, permitían obtener datos de los diferentes agentes implicados en el proceso y la posibilidad utilizarlas para analizar otras materias en que se aplicara esta metodología u otras metodologías activas.
DOI: 10.5281/zenodo.11652857
title: The more the merrier - Multi-frequency magnetic susceptibility of loess and palaeosols as a sensitive climate proxy

description: This data set contains 

1) Summary files of the central data sets as Microsoft Excel worksheets



Multi-frequency DynoMag data for section Khonako-II (KH-II_chiBFD.xlsx)

Dual-frequency Kappabridge data for section Khonako-II (KH-II_full_profile_Kappa.xlsx)


2) R code to plot magnetic susceptibility data measured at multiple frequencies, and to perform a linear regression through these data points (calculate_fit.R). The data files used in this code are stored in folder MFMS_data.zip. The output data from this code, as presented in the Supplementary Material of the article, is stored in table TableSH1.xlsx

3) R code to plot hysteresis loops from MPMS data and to extract values of coercivity and exchange bias (coercivity_extrapolation.R). The data files used in this code are stored in folder mass-corrected_MPMS.zip.

4) R code to plot the magnetic susceptibility data for the Khonako-II section in Tajikistan (KH-II-chiBFD.R). The data files used in this code are stored in folder KH-II_section.zip. A summary of the individual data files and the results from the calculations are stored in table KH-II_chiBFD.xlsx.

5) R code to calculate magnetic particle size distributions from multi-frequency magnetic susceptibility data measured on the Dynomag instument (magnetic_particle_size_distribution_DynoMag.R) or a Quantum Design Magnetic Properties Measurement System (magnetic_particle_size_distribution_SQUID.R). The data files used in this code are stored in folder particle_size_distribution.zip. The same data files are used to simulate the effect of varying coercivity values and saturation magnetisation values on magnetic particle size distribution (magnetic_particle_size_model.R). 

6) Temperature-dependent magnetic susceptibility data in folder k(T).zip

7) Remanence measurement data in folder remanence.zip
DOI: 10.5281/zenodo.14860186
title: The more the merrier - Multi-frequency magnetic susceptibility of loess and palaeosols as a sensitive climate proxy

description: This data set (updated 2025) contains: 

A) Data

1) Summary files of the central data sets as Microsoft Excel worksheets



Multi-frequency DynoMag data for section Khonako-II (KH-II_chiBFD.xlsx)

Dual-frequency Kappabridge data for section Khonako-II (KH-II_full_profile_Kappa.xlsx)


2) Temperature-dependent magnetic susceptibility data in folder k(T).zip

3) Remanence measurement data in folder remanence.zip

4) Temperature-dependent magnetic susceptibility data measured at three frequencies using a Quantum Design Magnetic Properties Measurement System (SQUID.zip)

5) Multi-frequncy magnetic susceptibilty data for different sites (MFMS_data.zip)

6) Raw data files of dual-frequency DynoMag data for section Khonako-II (KH-II_section.zip)

B) R code files

1) R code to correct hysteresis loops from MPMS data for paramagentic contributions and to extract values of coercivity and exchange bias (magnetic_hysteresis_suppl_mat.R). The data files used in this code are stored in folder mass-corrected_MPMS.zip.

2)  R code to calculate magnetic particle size distributions from multi-frequency magnetic susceptibility data measured on the Dynomag instument and temperature-dependent magnetic susceptibility data measured at three frequencies using a Quantum Design Magnetic Properties Measurement System (particle_size_calculation.R). The data files used in this code are stored in folder particle_size_distribution.zip.
DOI: 10.15468/dl.x3ave4
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cetorhinus maximus (Gunnerus, 1765)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 7 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001773-250212154643175/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11652856
title: The more the merrier - Multi-frequency magnetic susceptibility of loess and palaeosols as a sensitive climate proxy

description: This data set (updated 2025) contains: 

A) Data

1) Summary files of the central data sets as Microsoft Excel worksheets



Multi-frequency DynoMag data for section Khonako-II (KH-II_chiBFD.xlsx)

Dual-frequency Kappabridge data for section Khonako-II (KH-II_full_profile_Kappa.xlsx)


2) Temperature-dependent magnetic susceptibility data in folder k(T).zip

3) Remanence measurement data in folder remanence.zip

4) Temperature-dependent magnetic susceptibility data measured at three frequencies using a Quantum Design Magnetic Properties Measurement System (SQUID.zip)

5) Multi-frequncy magnetic susceptibilty data for different sites (MFMS_data.zip)

6) Raw data files of dual-frequency DynoMag data for section Khonako-II (KH-II_section.zip)

B) R code files

1) R code to correct hysteresis loops from MPMS data for paramagentic contributions and to extract values of coercivity and exchange bias (magnetic_hysteresis_suppl_mat.R). The data files used in this code are stored in folder mass-corrected_MPMS.zip.

2)  R code to calculate magnetic particle size distributions from multi-frequency magnetic susceptibility data measured on the Dynomag instument and temperature-dependent magnetic susceptibility data measured at three frequencies using a Quantum Design Magnetic Properties Measurement System (particle_size_calculation.R). The data files used in this code are stored in folder particle_size_distribution.zip.
DOI: 10.15468/dl.pzhdef
title: Occurrence Download

description: A dataset containing 2697 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "StateProvince is hawaii",
 "TaxonKey is one of (Leptospermum scoparium Forst., Alstonia macrophylla Wall. ex G.Don, Oxyspora paniculata (D.Don) DC., Hedychium gardnerianum Sheph. ex Ker Gawl., Erigeron karvinskianus DC., Rhodomyrtus tomentosa (Aiton) Hassk., Spathodea campanulata Beauverd, Toona ciliata M.Roem., Melochia umbellata (Houtt.) Stapf, Elephantopus mollis Kunth, Pterolepis glomerata (Rottb.) Miq., Cyathea cooperi (F.Muell.) Domin, Angiopteris evecta (G.Forst.) Hoffm., Blechnum orientale L., Tibouchina herbacea (DC.) Cogn., Chromolaena odorata (L.) R.M.King & H.Rob.)"
 ]
}

 The dataset includes 2697 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003397-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g556mf
title: Occurrence Download

description: A dataset containing 8227 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Spathodea campanulata Beauverd"
 ]
}

 The dataset includes 8227 records from 415 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028441-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bus5my
title: Occurrence Download

description: A dataset containing 38392 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Oenothera glazioviana Micheli, Oenothera laevifolia de Vries, Oenothera rubritincta R.R.Gates, Oenothera lata de Vries, Oenothera lamarckiana de Vries, 1901, Oenothera gigantea C.Huber, Oenothera tardiflora R.R.Gates, Oenothera blandina de Vries, Oenothera glazioviana var. azorica Rostaski, Oenothera bipartita Lutz, Oenothera liquida de Vries, Oenothera vrieseana H.Lév., Oenothera fatua de Vries, Oenothera scintillans de Vries, Oenothera semilata de Vries, Oenothera pallescens de Vries, Onagra nanella (de Vries) Mac Dougal, Oenothera leptocarpa Greene, Oenothera plicatula Lutz, Oenothera sublinearis de Vries, Oenothera lamarkiana, Oenothera candicans de Vries, Oenothera oblonga de Vries, Oenothera nanella de Vries, Oenothera cana de Vries, Oenothera brevistylis de Vries, Oenothera fusiformis Munz & I.M.Johnst., Oenothera aberrans Lutz, Oenothera glazioviana f. glazioviana, Oenothera pulla de Vries, Onagra laevifolia de Vries, Oenothera militaris de Vries, Oenothera tarda de Vries, Oenothera rubrinervis de Vries, Oenothera rubrinervoides R.R.Gates, Oenothera vana de Vries, Oenothera albida de Vries, Oenothera hamata de Vries, Oenothera oxypetala de Vries, Oenothera subovata de Vries, Oenothera erythrosepala var. azorica Rostanski, Oenothera gigas de Vries, Oenothera simplex de Vries, Oenothera elliptica de Vries, Oenothera superflua de Vries, Oenothera scindens de Vries, Oenothera spathulata de Vries, Oenothera multiflora var. elliptica R.R.Gates, Oenothera multiflora R.R.Gates, Onagra erythrosepala Borbás, Oenothera glazioviana var. glazioviana, Oenothera crassifolia var. leptocarpa (Greene) H.Lév., Onagra nanella (de Vries) MacDougal, Onagra rubrinervis (de Vries) MacDougal, Onagra rubrinervis (de Vries) Mac Dougal, Onagra gigas (de Vries) MacDougal, Onagra gigas (de Vries) Mac Dougal, Oenothera suaveolens f. erythrocephala (Borbás) Jáv., Oenothera biennis f. erythrosepala (Borbás) Jáv., 1924, Oenothera suaveolens f. erythrosepala (Borbás) Munz, Oenothera suaveolens f. erythrosepala (Borbás) Jáv., Oenothera grandiflora subsp. erythrocephala (Borbás) Á.Löve & D.Löve, Oenothera erythrosepala (Borbás) Borbás, Oenothera grandiflora subsp. erythrosepala (Borbás) Á.Löve & D.Löve)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 38392 records from 518 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001774-250212154643175/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7nhtpc
title: Occurrence Download

description: A dataset containing 220216 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Chromolaena odorata (L.) R.M.King & H.Rob., Blechnopsis orientalis (L.) C.Presl, Sphaeropteris cooperi (Hook. ex F.Muell.) R.M.Tryon, Chaetogastra herbacea (DC.) P.J.F.Guim. & Michelang., Microlaena stipoides (Labill.) R.Br., Schizachyrium microstachyum (Desv.) Roseng., B.R.Arrill. & Izag., Setaria palmifolia (J.Koenig) Stapf, Leptospermum scoparium Forst., Alstonia macrophylla Wall. ex G.Don, Oxyspora paniculata (D.Don) DC., Hedychium gardnerianum Sheph. ex Ker Gawl., Erigeron karvinskianus DC., Rhodomyrtus tomentosa (Aiton) Hassk., Spathodea campanulata Beauverd, Toona ciliata M.Roem., Melochia umbellata (Houtt.) Stapf, Elephantopus mollis Kunth, Pterolepis glomerata (Rottb.) Miq., Angiopteris evecta (G.Forst.) Hoffm.)"
 ]
}

 The dataset includes 220216 records from 965 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018521-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/zwjz7w95mh.2
title: Long-term safety and effectiveness of roflumilast cream 0.3% in adults with chronic plaque psoriasis: a 52-week, phase 2, open-label trial

description: Supplementary data to support the primary manuscript "Long-term safety and effectiveness of roflumilast cream 0.3% in adults with chronic plaque psoriasis: a 52-week, phase 2, open-label trial"
DOI: 10.13140/rg.2.2.35747.52003
title: Applied Statistics: The impact of the Coronavirus Pandemic on Education
DOI: 10.17632/p3xh4fs7cp
title: FishNet: A High-Resolution Image Dataset for Automated Fish Species Recognition

description: Dataset Overview
This dataset comprises 2,455 high-resolution images of commonly found freshwater and brackishwater fish species. The images were captured under natural lighting conditions and are organized into eight folders, each based on a specific species.

Class Distribution
Mola Carplet (Mola): 405
Swamp Barb (Puti): 495 
Mystus Catfish (Tengra): 431 
Stinging Catfish (Shing): 549
Prawn: 225
Shrimp: 122
Dwarf Gourami: 228

Data Processing:
Original HEIF images were converted to JPEG, resized to 640×640 pixels, and renamed using Python scripts (convert_heif_to_jpg.py, resize_and_rename.py) provided in the code/ folder for reproducibility.

Folder Structure & Naming:
Images are organized by species folder, with filenames as _.jpg (e.g., Mola fish_1.jpg).

Purpose
This dataset supports the development of automated fish species classification systems using machine learning and computer vision. It is useful for applications in aquaculture, seafood identification, food quality control, and biodiversity monitoring. It also serves as a valuable resource for training and evaluating image-based recognition models in both research and industry contexts.
DOI: 10.17632/p3xh4fs7cp.3
title: FishNet: A High-Resolution Image Dataset for Automated Fish Species Recognition

description: Dataset Overview
This dataset comprises 2,455 high-resolution images of commonly found freshwater and brackishwater fish species. The images were captured under natural lighting conditions and are organized into eight folders, each based on a specific species.

Class Distribution
Mola Carplet (Mola): 405
Swamp Barb (Puti): 495 
Mystus Catfish (Tengra): 431 
Stinging Catfish (Shing): 549
Prawn: 225
Shrimp: 122
Dwarf Gourami: 228

Data Processing:
Original HEIF images were converted to JPEG, resized to 640×640 pixels, and renamed using Python scripts (convert_heif_to_jpg.py, resize_and_rename.py) provided in the code/ folder for reproducibility.

Folder Structure & Naming:
Images are organized by species folder, with filenames as _.jpg (e.g., Mola fish_1.jpg).

Purpose
This dataset supports the development of automated fish species classification systems using machine learning and computer vision. It is useful for applications in aquaculture, seafood identification, food quality control, and biodiversity monitoring. It also serves as a valuable resource for training and evaluating image-based recognition models in both research and industry contexts.
DOI: 10.48420/30112885
title: Supporting File 2 - Expanded EPMA Methods

description: Thermal Metamorphism of Enstatite Chondrites - Supporting File 2 - Expanded EPMA Methods.This spreadsheet contains an expanded summary of the electron probe micro analysis methods included in the study.
DOI: 10.26023/ckxc-r10y-kz05
title: R/V Revelle TOGA Radar Spectrum Width Data: DYNAMO Legacy Collection. Version 1.0

description: This data set contains the 10 minute resolution gridded spectrum width data from the NASA TOGA C-band Doppler radar that was on-board the R/V Revelle during DYNAMO. The Revelle conducted two legs for DYNAMO and was on station from 1-30 October 2011 for Leg 1 and from 4 November to 8 December 2011 for Leg 2. The data are in NetCDF format.
DOI: 10.48420/30112885.v1
title: Supporting File 2 - Expanded EPMA Methods

description: Thermal Metamorphism of Enstatite Chondrites - Supporting File 2 - Expanded EPMA Methods.This spreadsheet contains an expanded summary of the electron probe micro analysis methods included in the study.
DOI: 10.17632/8hbs8sbdhk.1
title: Supplemental Tables for "No evidence for metabolic risk and glucagon-like peptide-1 (GLP-1) receptor agonist use in folliculitis decalvans: a retrospective cohort study using TriNetX"

description: Supplemental Tables for "No evidence for metabolic risk and glucagon-like peptide-1 (GLP-1) receptor agonist use in folliculitis decalvans: a retrospective cohort study using TriNetX"
DOI: 10.13140/rg.2.2.18760.58885
title: PLIN5 (green) coating Lipid droplets (red) 3D rendering
DOI: 10.25500/edata.bham.00001375
title: Telematics data to analyse the real-world efficacy of clean air zones (CAZ), the crossroads of air quality improvement and decarbonization strategies
DOI: 10.15468/dl.sj4aup
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Torenia thouarsii",
 "Country is Ecuador",
 "HasCoordinate is true"
 ]
}

 The dataset includes 24 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036719-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/fyd9xg5d97
title: SARS-CoV-2 Envelope ESEEM

description: Raw data are provided for each label seen in the figure as the .DSC file and .DTA file generated by Bruker software. Processing of this data requires Easyspin (https://easyspin.org/download.html) and MATLAB, as well as the ESEEM3pproc.m file given below. processed data are given as text files for the time domain (files ending in _time.txt), and the cross-term average Fourier transform (files ending in _FT.txt).