cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18338911
title: Hwan Le Hwa Wayang Potehi Description Table

description: This dataset contains visual documentation and a structured descriptive analysis of Hwan Le Hwa, a female character in Wayang Potehi, a traditional Chinese glove-puppet performance art practiced in Indonesia. The material is presented in the form of a descriptive table that systematically records the puppet’s visual and material attributes, including media and materials, performing technique, size and shape, facial characteristics, costume, hairstyle, and head ornaments, attributes (weapons), and overall visual impression. The analysis is based on photographic documentation of the puppet and follows the descriptive stage of E. B. Feldman’s art-critical method, emphasizing objective observation of visual elements before formal, interpretive, and evaluative analysis. Particular attention is given to features that distinguish female Potehi figures, such as costume motifs, color schemes, accessories, and performative attributes, despite the relatively standardized facial features characteristic of Potehi puppets
DOI: 10.5281/zenodo.18338910
title: Hwan Le Hwa Wayang Potehi Description Table

description: This dataset contains visual documentation and a structured descriptive analysis of Hwan Le Hwa, a female character in Wayang Potehi, a traditional Chinese glove-puppet performance art practiced in Indonesia. The material is presented in the form of a descriptive table that systematically records the puppet’s visual and material attributes, including media and materials, performing technique, size and shape, facial characteristics, costume, hairstyle, and head ornaments, attributes (weapons), and overall visual impression. The analysis is based on photographic documentation of the puppet and follows the descriptive stage of E. B. Feldman’s art-critical method, emphasizing objective observation of visual elements before formal, interpretive, and evaluative analysis. Particular attention is given to features that distinguish female Potehi figures, such as costume motifs, color schemes, accessories, and performative attributes, despite the relatively standardized facial features characteristic of Potehi puppets
DOI: 10.5281/zenodo.18338877
title: Completeness of Reporting in Abstracts of Randomized Controlled Trials and factors associated with complete reporting: A Meta-research Study

description:  A meta-research study to evaluate the completeness of reporting in abstracts of RCTs.
DOI: 10.5281/zenodo.18338878
title: Completeness of Reporting in Abstracts of Randomized Controlled Trials and factors associated with complete reporting: A Meta-research Study

description:  A meta-research study to evaluate the completeness of reporting in abstracts of RCTs.
DOI: 10.57967/hf/7622
title: GigaS2S-1000
DOI: 10.15468/dl.bmy5rc
title: Occurrence Download

description: A dataset containing 47 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Psithyrus variabilis"
 ]
}

 The dataset includes 47 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004845-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18339169
title: Data for: Advanced Spectral Deconvolution of Serum ATR-FTIR Highlight the Serum nucleic acid in Early Sepsis Diagnostics and its cfDNA Characterization

description: ========================================================================DATASET README: Serum ATR-FTIR Spectral Features for Sepsis Diagnostics========================================================================

1. GENERAL INFORMATION----------------------Title: Advanced Spectral Deconvolution of Serum ATR-FTIR Highlight the Serum nucleic acid in Early Sepsis Diagnostics and its cfDNA CharacterizationAuthors: Xuejie Wang, Wei Xin, Tangdong Chen, et al.

2. DATASET STRUCTURE & HIERARCHY--------------------------------The data is organized into two primary modules:

A. Mouse_CLP_Data (Sepsis Mouse Model)   |-- CLP_Mouse_Dynamic_Progression/   |   |-- Raw_Spectra/ (Original .spa and .csv files from 30m to 1w post-CLP)   |   |-- Processed_Spectra/ (Baseline corrected and smoothed spectra)   |   |-- Mouse_Dynamic_Peak_Area.xlsx (Integrated area of 1140-1000 cm-1 region)   |   |-- Mouse_Dynamic_GFEB_Features.xlsx (Deconvoluted Gaussian band features)   |-- CLP_Mouse_Outcomes/   |   |-- Raw_Spectra/   |   |-- Processed_Spectra/   |   |-- CLP_Mouse_Outcomes_Metadata.xlsx (Survival, temperature, weight data)   |   |-- Mouse_Outcomes_Peak_Area.xlsx   |   |-- Mouse_Outcomes_GFEB_Features.xlsx

B. Patients_Data (Clinical Validation)   |-- Patient_Clinical_Information.xlsx (Anonymized: PCT, IL-6, SOFA, etc.)   |-- Patients_Spectral_Data/       |-- Raw_Spectra/ (Sepsis, Control, and cfDNA groups)       |-- Processed_Spectra/ (Sepsis, Control, and cfDNA groups)       |-- Patients_Peak_Area.xlsx (Feature matrix for diagnostic models)       |-- Patients_GFEB_Features.xlsx (Features for ML classification)       |-- cfDNA_Analysis_Subfolder/           |-- cfDNA_Peak_Area.xlsx           |-- cfDNA_GFEB_Features.xlsx           |-- cfDNA_UV_Concentration.xlsx (UV spectrophotometry reference)

3. METHODOLOGICAL SPECIFICATIONS--------------------------------- Instrumentation: Thermo Fisher Scientific Nicolet iS50 (ATR mode)- Spectral

4. CONTACT--------------------------------------------------For questions regarding data or code, please contact:Guoqiang Bao (guoqiang@fmmu.edu.cn) or Lijuan Yuan (lijuanyuan@fmmu.edu.cn).
DOI: 10.57903/uj/gemccj
title: Description of the samples used in an "Probing nanoscale molecular mechanisms in cystic fibrosis through s-SNOM: from model to complex systems" project (first year)
title: Opis próbek wykorzystanych w projekcie "Badanie mechanizmów molekularnych w nanoskali w mukowiscydozie poprzez s-SNOM: od modelu do złożonych systemów" (pierwszy rok)

description: Submitted files contain descriptions of supported lipid bilayers samples used in a Preludium-22 grant entitled "Probing nanoscale molecular mechanisms in cystic fibrosis through s-SNOM: from model to complex systems".
DOI: 10.14284/715
title: Peruvian Register of Marine Species. Accessed at https://www.marinespecies.org/perms on yyyy-mm-dd

description: A list of species in the Peruvian marine waters.
description: Peruvian sea extends from the shore to the deepest ocean floor for 200 miles. The Peruvian coastline is more than 3000 km long, it contains bays, cliffs, rocky shores, sandy beaches, islands. Besides, peninsulas that harbour kelp forests, macroalgae patches, mussel beds and wetlands, including mangrove at its northern limit.

Two contrasting surface currents converge in the northern Peruvian sea: (1) the warm El Niño Current and (2) the cold Humboldt Current. These currents delimitate the boundary between the Tropical East Pacific and the Warm Temperate Southeastern Pacific provinces, and create an ecotone, well known by replacement of species and a gradient in sea surface temperature and salinity.

The main marine ecosystem of the Peruvian sea is the Humboldt Current system that extends from central Chile (~ 40°S), to northern Peru (~ 4-5°S). It is unusually cool, despite its proximity to the equator, because of the upwelling of cool waters and nutrients to the surface that increases phytoplankton and consequently raises biological productivity, allowing Peruvian sea to produce more fish per unit area than any other place in the world oceans. High primary production and poor ventilation produces an extremely shallow Oxygen Minimum Zone under surface waters which acts as a barrier, concentrating living resources near to the surface.

The Peruvian Register of Marine Species PeRMS aims to compile an updated list of species occurring along the Peruvian jurisdictional waters. It is expected to be used as a source of information for researchers focusing on Peruvian marine biodiversity. PeRMS is managed by Instituto del Mar del Perú - IMARPE (spanish for Peruvian Marine Research Institute), the governmental institution officially in charge of aquatic research at Peru.

Species listed at PeRMS are based on records from bibliographic sources, which currently includes invertebrates, fishes, reptiles, mammals, birds and seaweeds.
DOI: 10.5281/zenodo.18339237
title: GeoLocator Data Package: Swainson's Warbler Migration Ecology

description: Data repository for barometric geolocator data collected on breeding Swainson's Warblers (Limnothlypis swainsonii) in the southeastern United States using multisensor geolocators (BARP50Z11-7, Migrate Technology) to study their migration ecology and migratory connectivity between eastern and western breeding populations. Using 14 recovered tags, we implement the GeoPressureR pipeline to analyze barometric pressure data and uncover migratory trajectories.
DOI: 10.21223/0gjcyr
title: Dataset for: Meteorological data at La Molina CIP experimental station from 2013 to 2025

description: In the present dataset, hourly meteorological data at La Molina CIP Experimental Station during April 15th 2013 to April 6th 2025 are available. The meteorological variables are the following variables: Air temperature (°C), relative humidity (%), vapor pressure deficit (kPa), wind speed (m s^-1), wind direction (°), solar radiation (W m^-2), PAR radiation (umol s^-1 m^-2), rain (mm), atmospheric pressure (hPa) and potential evapotranspiration (mm). Some problems in the registration were presented, due to sensor errors, low battery, station maintenance and others, in some cases were completed with data from the Alexander von Humboldt meteorological station of the National Agrarian University-La Molina (highlighted in blue).
DOI: 10.34847/nkl.2fd08mom
title: Felis silvestris Ceintures

description: Ensemble d'images d'os et/ou de données relatives à l'ostéothèque 3D du LAMPEA (Aix Marseille Université, CNRS, ministère de la Culture)
DOI: 10.5281/zenodo.18338741
title: SARS-CoV-2 Sequenzdaten aus Deutschland

description: Im Datensatz "SARS-CoV-2-Sequenzdaten aus Deutschland" umfasst vollständige Virusgenomsequenzen sowie zugehörige Metadaten aus bundesweit erhobenen Proben. Die Proben werden in Zusammenarbeit vom IMSSC2-Labornetzwerk, dem Nationalen Referenzzentrum für Coronaviren an der Charité sowie dem RKI sequenziert und bioinformatisch analysiert. Der Datensatz ermöglicht eine fundierte molekular-epidemiologische Analyse der SARS-CoV-2-Ausbreitung in Deutschland und stellt eine zentrale Ressource für Forschung und öffentliche Gesundheitsüberwachung dar.
DOI: 10.6084/m9.figshare.28920320
title: The pain funding gap: A database analysis of pain research funding in Canada from 2008–2023

description: One in five Canadians experiences chronic pain, at a cost of $40.3 billion in 2019. Despite this significant burden, there are few effective treatments for pain. This gap has been recognized by Health Canada, which has put forth the <i>Action Plan for Pain in Canada</i>. Advancing our understanding of pain mechanisms and clinical trials to identify novel therapeutics are essential to address this treatment gap. However, it remains unknown whether the recommendations of the <i>Action Plan</i> have increased research investments. We investigate research investments in pain by the Canadian Institutes of Health Research (CIHR) based on publicly available data. We performed a systematic database search focused on operating funds from competitions between 2008 and 2023 and tabulated pain funding as a proportion of total CIHR operational funds granted each year. Next, we examined the proportion of pain funding across CIHR institutes aggregated across funding years. We identified 20,126 operational grants, of which 459 were pain focused. The highest level of pain funding was 3.32% in 2019, and the average (SD) was 2.13% (0.70%). Funding was stagnant from 2008 to 2023 (<i>R</i><sup>2</sup> = 0.10, <i>P</i> = 0.23). The Institute of Musculoskeletal Health and Arthritis allocated the largest proportion of funding to pain research (11.40%). Eight of the 13 institutes allocated less than 1% of their operating funds to pain research. In sum, CIHR pain research funding does not match the socioeconomic burden posed by pain. We propose three action items to improve pain research funding and to ultimately relieve the burden of pain in Canada.
DOI: 10.6084/m9.figshare.28920320.v2
title: The pain funding gap: A database analysis of pain research funding in Canada from 2008–2023

description: One in five Canadians experiences chronic pain, at a cost of $40.3 billion in 2019. Despite this significant burden, there are few effective treatments for pain. This gap has been recognized by Health Canada, which has put forth the <i>Action Plan for Pain in Canada</i>. Advancing our understanding of pain mechanisms and clinical trials to identify novel therapeutics are essential to address this treatment gap. However, it remains unknown whether the recommendations of the <i>Action Plan</i> have increased research investments. We investigate research investments in pain by the Canadian Institutes of Health Research (CIHR) based on publicly available data. We performed a systematic database search focused on operating funds from competitions between 2008 and 2023 and tabulated pain funding as a proportion of total CIHR operational funds granted each year. Next, we examined the proportion of pain funding across CIHR institutes aggregated across funding years. We identified 20,126 operational grants, of which 459 were pain focused. The highest level of pain funding was 3.32% in 2019, and the average (SD) was 2.13% (0.70%). Funding was stagnant from 2008 to 2023 (<i>R</i><sup>2</sup> = 0.10, <i>P</i> = 0.23). The Institute of Musculoskeletal Health and Arthritis allocated the largest proportion of funding to pain research (11.40%). Eight of the 13 institutes allocated less than 1% of their operating funds to pain research. In sum, CIHR pain research funding does not match the socioeconomic burden posed by pain. We propose three action items to improve pain research funding and to ultimately relieve the burden of pain in Canada.
DOI: 10.6084/m9.figshare.28920320.v1
title: The pain funding gap: A database analysis of pain research funding in Canada from 2008–2023

description: One in five Canadians experiences chronic pain, at a cost of $40.3 billion in 2019. Despite this significant burden, there are few effective treatments for pain. This gap has been recognized by Health Canada, which has put forth the <i>Action Plan for Pain in Canada</i>. Advancing our understanding of pain mechanisms and clinical trials to identify novel therapeutics are essential to address this treatment gap. However, it remains unknown whether the recommendations of the <i>Action Plan</i> have increased research investments. We investigate research investments in pain by the Canadian Institutes of Health Research (CIHR) based on publicly available data. We performed a systematic database search focused on operating funds from competitions between 2008 and 2023 and tabulated pain funding as a proportion of total CIHR operational funds granted each year. Next, we examined the proportion of pain funding across CIHR institutes aggregated across funding years. We identified 20,126 operational grants, of which 459 were pain focused. The highest level of pain funding was 3.32% in 2019, and the average (SD) was 2.13% (0.70%). Funding was stagnant from 2008 to 2023 (<i>R</i><sup>2</sup> = 0.10, <i>P</i> = 0.23). The Institute of Musculoskeletal Health and Arthritis allocated the largest proportion of funding to pain research (11.40%). Eight of the 13 institutes allocated less than 1% of their operating funds to pain research. In sum, CIHR pain research funding does not match the socioeconomic burden posed by pain. We propose three action items to improve pain research funding and to ultimately relieve the burden of pain in Canada.
DOI: 10.5281/zenodo.15359820
title: Hyperspectral imaging dataset. Calibration, validation and test datasets for the classification of recyclable materials.

description: Hyperspectral spectral images of 5 types of recyclable materials: cardboard, HDPE, PS, PET and PP. 

Spectral imaging was carried out in three stages, generating three independent datasets for calibration, validation and testing of the results. For the calibration dataset, one object of each one of the 5 recyclable materials was imaged separately. For the validation dataset, a single mixed image, presenting a mixture of the 5 types of recyclable materials was acquired. Each type of material was cut in a different shape to facilitate the visual interpretation of the results. The same procedure was independently repeated for the test dataset.

Spectral images of the samples, in the NIR range (943 - 1643 nm), were acquired using a pushbroom hyperspectral imaging system (Spectral Scanner, DV Optics Ltd, Padova, Italy). The Spectral resolution of the system was 7nm and the spatial resolution of the setup was approximately 170 × 170 μm per pixel. Samples were placed on a white tile for image acquisition.

If you use this dataset please reference the published article as:

Herrero-Langreo, A., Altun, N., & Gowen, A. A. A. (2026). Optimizing Distance‐Based Classification in Hyperspectral Imaging: a Tutorial on the Influence of Spectral Pretreatments. Journal of Chemometrics, 40(2), e70101. https://doi.org/https://doi.org/10.1002/cem.7010

Table 1.            Dataset description, number of pixels and objects per dataset.






Material  



Dataset 1: Calibration, 1 image per material.

(N of pixels/N objects)



Dataset 2: Validation, one single validation image with mixed materials

(N of pixels/N objects)



Dataset 3: Test, one single validation image with mixed materials

(N of pixels/N objects)





Carboard 



20 810 pixels /1 object



930 pixels / 9 objects



970 pixels/8 objects





HDPE



24 675 pixels /1 object



3 789 pixels / 6 objects



4039 pixels/5 objects





PS



 7 867 pixels /1 object



1 952 pixels / 5 objects



1866 pixels/8 objects





PET



21 422 pixels /1 object



2 250 pixels / 5 objects



4841 pixels /8 objects





PP



12 034 pixels /1 object



4 655 pixels / 5 objects



-
DOI: 10.5281/zenodo.15359819
title: Hyperspectral imaging dataset. Calibration, validation and test datasets for the classification of recyclable materials.

description: Hyperspectral spectral images of 5 types of recyclable materials: cardboard, HDPE, PS, PET and PP. 

Spectral imaging was carried out in three stages, generating three independent datasets for calibration, validation and testing of the results. For the calibration dataset, one object of each one of the 5 recyclable materials was imaged separately. For the validation dataset, a single mixed image, presenting a mixture of the 5 types of recyclable materials was acquired. Each type of material was cut in a different shape to facilitate the visual interpretation of the results. The same procedure was independently repeated for the test dataset.

Spectral images of the samples, in the NIR range (943 - 1643 nm), were acquired using a pushbroom hyperspectral imaging system (Spectral Scanner, DV Optics Ltd, Padova, Italy). The Spectral resolution of the system was 7nm and the spatial resolution of the setup was approximately 170 × 170 μm per pixel. Samples were placed on a white tile for image acquisition.

If you use this dataset please reference the published article as:

Herrero-Langreo, A., Altun, N., & Gowen, A. A. A. (2026). Optimizing Distance‐Based Classification in Hyperspectral Imaging: a Tutorial on the Influence of Spectral Pretreatments. Journal of Chemometrics, 40(2), e70101. https://doi.org/https://doi.org/10.1002/cem.7010

Table 1.            Dataset description, number of pixels and objects per dataset.






Material  



Dataset 1: Calibration, 1 image per material.

(N of pixels/N objects)



Dataset 2: Validation, one single validation image with mixed materials

(N of pixels/N objects)



Dataset 3: Test, one single validation image with mixed materials

(N of pixels/N objects)





Carboard 



20 810 pixels /1 object



930 pixels / 9 objects



970 pixels/8 objects





HDPE



24 675 pixels /1 object



3 789 pixels / 6 objects



4039 pixels/5 objects





PS



 7 867 pixels /1 object



1 952 pixels / 5 objects



1866 pixels/8 objects





PET



21 422 pixels /1 object



2 250 pixels / 5 objects



4841 pixels /8 objects





PP



12 034 pixels /1 object



4 655 pixels / 5 objects



-
DOI: 10.71819/nvdctu
title: TotalEnergies | Projeto de Caracterização Ambiental (PCA)/ Environmental Baseline Study (EBS) dos Blocos S-M-1711 e S-M-1815, Bacia de Santos: Ictioplâncton

description: Dados de amostras de ictioplâncton coletadas no ano de 2023, durante campanha oceanográfica nos Blocos S-M-1711 e S-M-1815, Bacia de Santos, em esforço de caracterização ambiental da área dos referidos blocos.
DOI: 10.15468/dl.bqdb7q
title: Occurrence Download

description: A dataset containing 3448735 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "DatasetKey is EOD – eBird Observation Dataset",
 "IucnRedListCategory is LC",
 "Year 2000-2025"
 ]
}

 The dataset includes 3448735 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004823-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xmd579
title: Occurrence Download

description: A dataset containing 1725584089 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 2015-2024"
 ]
}

 The dataset includes 1725584089 records from 11227 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004799-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ze4ccs
title: Occurrence Download

description: A dataset containing 940 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((22.97458 33.59366,43.75838 33.59366,43.75838 41.91448,22.97458 41.91448,22.97458 33.59366))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Limonium sinuatum"
 ]
}

 The dataset includes 940 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031142-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17599056
title: Altus hifiasm gfa

description: Hifiasm graph used as initial assembly in our manuscript titled "Haplotype-resolved assembly of a tetraploid potato genome using long reads and low-depth offspring data".

 

Contains the Altus assembly gfa file described in the paper.
DOI: 10.5281/zenodo.10160514
title: Altus hifiasm gfa

description: Hifiasm graph used as initial assembly in our manuscript titled "Haplotype-resolved assembly of a tetraploid potato genome using long reads and low-depth offspring data".

 

Contains the Altus assembly gfa file described in the paper.