cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/kmbctbg39y.3
title: Deep Learning Binary Classification of Inflammation during Keratinocyte Carcinoma Treatment with Topical Applications of Imiquimod, 5-fluorouracil, and Retinoids

description: Background: Keratinocyte carcinomas (KCs) require monitoring during topical therapy treatment. Artificial intelligence could enable automated assessment of inflammation status to support telemedicine-based care.
Objective: Evaluate three deep learning approaches for binary classification of inflammation status in KCs treated with topical imiquimod, 5-fluorouracil, and retinoids (IMI/5-FU/RET).
Methods: Retrospective study analyzing 2,170 clinical images of KCs collected from 2011-2024 at a dermatology practice. Images were labeled as having "active" or "inactive" inflammation by a physician and split into training (70%), validation (20%), and testing (10%) sets. Approaches used included a convolutional neural network (CNN), pre-trained feature extractors with linear probing using ResNet50, MobileNetV2, and DenseNet121 architectures, and pre-trained feature extractors with K-nearest neighbor classification.
Results: ResNet50 with K-NN classification achieved the best overall performance on test data, with 89.7% accuracy, 87.35% recall, 90.95% precision, and 88.85% F1 score. 
Limitations: The dataset consisted primarily of fair-skinned individuals from a single dermatology practice, limiting generalizability. Images sometimes contained artifacts and variability in lighting and camera parameters. 
Conclusion: Pre-trained deep learning models effectively classified inflammation status in KC treatment and could enable automated monitoring of topical therapy response and support telemedicine workflows. External validation on diverse populations and clinical settings is needed before implementation.
DOI: 10.25574/30444
title: Chandra X-ray Observatory ObsId 30444

description: A hot shell bounding a young, multiphase, jet-driven outflow in a nearby galaxy
DOI: 10.17632/jgkj2d8pzg.1
title: Scoping Review of Web Accessibility in Africa

description: This is the dataset of the study named "Web Accessibiliy in Africa: A Scoping Review"
It is a scoping review about published web accessibility papers in relation to Africa, from 1999, the year of the first release of Web Content Accessibility Guidelines", up to 2025.
This dataset consist of two files, one holding the full information of the content table of the scoping review, and another file holding a summary table with selected data from the first file.
The first sheet of each Excel file present key informaton about the data that it contains.
DOI: 10.17632/tk52nhj67c.3
title: Inhibition of phosphodiesterase 4 alleviates mastitis induced by Staphylococcus aureus via MAPK and NF-κB signaling pathways

description: Table S1.qRT-PCR Primer Sequence List
DOI: 10.5281/zenodo.14826522
title: Surface gridded total currents from data fusion

description: Mediterranean total surface currents over 2024 calculated from data fusion technique (deep learning approach). Learning is performed on ocean reanalysis and inference on real observations (L4 sea level, satellite SST, SSS, winds). HF radars and drifting buoys are used for validation.
DOI: 10.5281/zenodo.18247468
title: Surface gridded total currents from data fusion

description: Mediterranean total surface currents over 2024 calculated from data fusion technique (deep learning approach). Learning is performed on ocean reanalysis and inference on real observations (L4 sea level, satellite SST, SSS, winds). HF radars and drifting buoys are used for validation.
DOI: 10.25574/30612
title: Chandra X-ray Observatory ObsId 30612

description: Chandra/HRC observations of a newly discovered 25-day quasi-periodic eruption source during quiescence
DOI: 10.17632/wz9g63d9wd
title: Intercropping enhances overall soil multifunctionality and buffers functional decline in subsoil

description: The dataset consists of a Data and an R code file.
The file R_code includes all code required for the manuscript. Any scripts,code, packages can be run using R version 4.4.0 (R Core Team, 2024).
DOI: 10.17632/wz9g63d9wd.1
title: Intercropping enhances overall soil multifunctionality and buffers functional decline in subsoil

description: The dataset consists of a Data and an R code file.
The file R_code includes all code required for the manuscript. Any scripts,code, packages can be run using R version 4.4.0 (R Core Team, 2024).
DOI: 10.15468/dl.5xkwup
title: Occurrence Download

description: A dataset containing 24105 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Betula alleghaniensis",
 "BasisOfRecord is one of (Human Observation)"
 ]
}

 The dataset includes 24105 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009466-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/8v783d2jp8
title: Western Blot Analysis of Kaempferol and Punicalagin on RGNNV Inhibition
DOI: 10.17632/8v783d2jp8.1
title: Western Blot Analysis of Kaempferol and Punicalagin on RGNNV Inhibition
DOI: 10.17632/smzx46w4sr
title: The Role of Clinopyroxene on the Rheology of Dry Olivine-Clinopyroxene Aggregates

description: This data set comprises raw deformation data for dry olivine–clinopyroxene aggregates deformed at confining pressures of ~300 MPa and temperatures of 1423–1523 K in a Paterson gas-medium apparatus. It can be used to investigate the influence of the secondary phase Cpx on the rheology of the matrix Ol. The results show that increasing Cpx content leads to systematic variations in the strengths of Ol–Cpx aggregates and in the associated rheological parameters.
DOI: 10.17632/smzx46w4sr.1
title: The Role of Clinopyroxene on the Rheology of Dry Olivine-Clinopyroxene Aggregates

description: This data set comprises raw deformation data for dry olivine–clinopyroxene aggregates deformed at confining pressures of ~300 MPa and temperatures of 1423–1523 K in a Paterson gas-medium apparatus. It can be used to investigate the influence of the secondary phase Cpx on the rheology of the matrix Ol. The results show that increasing Cpx content leads to systematic variations in the strengths of Ol–Cpx aggregates and in the associated rheological parameters.
DOI: 10.17632/mggn62bghn
title: A dataset for simultaneous detection of oil well drill pipes and their coupling gaps

description: The dataset consists of 500 masked oil well drilling pipe images and corresponding 500 masked images of gaps on drilling pipes. All images have RGB channels and are in JPEG format, and corresponding annotations are in plain text files. All of the corresponding masks were manually annotated with labelme-5.2.1 in the YOLOv11 PyTorch format.
DOI: 10.17632/mggn62bghn.2
title: A dataset for simultaneous detection of oil well drill pipes and their coupling gaps

description: The dataset consists of 500 masked oil well drilling pipe images and corresponding 500 masked images of gaps on drilling pipes. All images have RGB channels and are in JPEG format, and corresponding annotations are in plain text files. All of the corresponding masks were manually annotated with labelme-5.2.1 in the YOLOv11 PyTorch format.
DOI: 10.17632/t3tk7y6mjt
title: Annual Climate Dataset for the Bosten Lake Basin and Bohu County, China (Temperature, Precipitation; 2000–2020)

description: The dataset includes annual mean temperature and annual precipitation (2000–2020), and the boundary vector layers for Bosten Lake Basin and Bohu County, China.
DOI: 10.17632/t3tk7y6mjt.1
title: Annual Climate Dataset for the Bosten Lake Basin and Bohu County, China (Temperature, Precipitation; 2000–2020)

description: The dataset includes annual mean temperature and annual precipitation (2000–2020), and the boundary vector layers for Bosten Lake Basin and Bohu County, China.
DOI: 10.17632/kdmsd5ts9y
title: Assembly line optimization considering carbon trading: A customized deep learning algorithm

description: Assembly line optimization considering carbon trading: A customized deep learning algorithm.The dataset and results involved in this paper.
DOI: 10.17632/kdmsd5ts9y.1
title: Assembly line optimization considering carbon trading: A customized deep learning algorithm

description: Assembly line optimization considering carbon trading: A customized deep learning algorithm.The dataset and results involved in this paper.
DOI: 10.17632/k3mp2p6g23
title: Ancient gene linkages and ultraconserved elements disentangle Acari interrelationships

description: Datasets for “Ancient gene linkages and ultraconserved elements disentangle Acari interrelationships”

1. Chelicerata probe set file
2. UCE data sets zipped directory including tree file
3. Acari linkage group zipped directory
DOI: 10.17632/k3mp2p6g23.1
title: Ancient gene linkages and ultraconserved elements disentangle Acari interrelationships

description: Datasets for “Ancient gene linkages and ultraconserved elements disentangle Acari interrelationships”

1. Chelicerata probe set file
2. UCE data sets zipped directory including tree file
3. Acari linkage group zipped directory
DOI: 10.17632/fxdf52dvrb
title: Lates_calcarifer_linkage_maps_2026

description: Here are the linkage maps (male, female, sex averaged and sex additive) for Lates calcaifer (Australian barramundi). A total of 49,885 SNP markers were used to construct this linkage map using Lep-MAP3. Code for the construction of this map can be found https://github.com/DigitalFins/Lates_calcarifer_Linkage_map_2025. These maps are a result of 7 males and 3 females and their 1,952 progeny. What was found was that there are male- and female- only regions of recombination across each of the chromosomes, with no overlap. This map therefore creates a consensus map using two methods, sex-avg and sex-additive.

The Linkage Map is a tab separated tect file with the following columns. Please refer to the paper for more information on how columns were calculated.

SNPID = Name of the unique SNP
Chromosome = the chromosome where the SNP is found based on the 2016 reference genome (GCF_001640805.2) (Note, errors in the assembly are corrected here. See paper for more information.)
Physical_pos_bp = the phyisical position of each of the SNPs on the 2016 reference genome (GCF_001640805.2)
Male_cM = the centimorgan position of each SNP in the male-only maps
Female_cM = the centimorgan position of each SNP in the female-only maps
Sex_avg_mean = the mean position of the SNP between the male and female maps (use with caution)
Sex_avg_additive = the male cM + female cM position (calculated due to no overlap in recombination regions between males and females)
DOI: 10.17632/fxdf52dvrb.1
title: Lates_calcarifer_linkage_maps_2026

description: Here are the linkage maps (male, female, sex averaged and sex additive) for Lates calcaifer (Australian barramundi). A total of 49,885 SNP markers were used to construct this linkage map using Lep-MAP3. Code for the construction of this map can be found https://github.com/DigitalFins/Lates_calcarifer_Linkage_map_2025. These maps are a result of 7 males and 3 females and their 1,952 progeny. What was found was that there are male- and female- only regions of recombination across each of the chromosomes, with no overlap. This map therefore creates a consensus map using two methods, sex-avg and sex-additive.

The Linkage Map is a tab separated tect file with the following columns. Please refer to the paper for more information on how columns were calculated.

SNPID = Name of the unique SNP
Chromosome = the chromosome where the SNP is found based on the 2016 reference genome (GCF_001640805.2) (Note, errors in the assembly are corrected here. See paper for more information.)
Physical_pos_bp = the phyisical position of each of the SNPs on the 2016 reference genome (GCF_001640805.2)
Male_cM = the centimorgan position of each SNP in the male-only maps
Female_cM = the centimorgan position of each SNP in the female-only maps
Sex_avg_mean = the mean position of the SNP between the male and female maps (use with caution)
Sex_avg_additive = the male cM + female cM position (calculated due to no overlap in recombination regions between males and females)
DOI: 10.15468/dl.4rr25s
title: Occurrence Download

description: A dataset containing 4956 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leucobryum juniperoideum"
 ]
}

 The dataset includes 4956 records from 200 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009468-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/jtcnfs3dwg
title: EPU and energy tokens

description: Daily data on EPU and energy tokens
DOI: 10.15468/dl.ugjtcp
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"USA.34.91_1","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009467-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/jtcnfs3dwg.1
title: EPU and energy tokens

description: Daily data on EPU and energy tokens
DOI: 10.17632/cdz4nh3v8h
title: GenArt: Interdisciplinary Art and Science Event Memory

description: This dataset documents GenArt, an interdisciplinary biotechnology and art initiative developed as an educational and co-creation strategy involving students from the Bacteriology and Clinical Laboratory Program of the Universidad de Santander (UDES), Colombia, and art students from the Universidad Autónoma de México (UNAM). The initiative brought together participants from art and STEM-related disciplines to collaboratively explore the intersection of biotechnology, science communication, and cultural expression.

The GenArt event was held at the Universidad de Santander, Carare Building, on May 15–16, 2025, where interdisciplinary teams worked through guided learning and collaborative creation processes. All participants completed a shared introductory training through the online course “BioArt: Science and Creativity in Action”, developed by Fundación Eureka, which provided foundational knowledge in microbiology, genetic manipulation, and the use of chromogenic-protein-producing bacteria for artistic purposes. Following this training, students formed interdisciplinary teams, each supported by a tutor, to co-create artworks inspired by Indigenous communities from Colombia and Mexico.

Art students led the conceptual and visual design of the pieces, which were first developed through digital co-creation. These designs were later interpreted by students from the Bacteriology and Clinical Laboratory Program into agar-based biological artworks using genetically modified bacteria, following established biosafety guidelines. The resulting works were assembled into a collective installation titled “Ethnic Cell”, structured around the central artwork “The Nucleus” and surrounded by 22 artworks representing Indigenous communities from both countries.

The final installation was exhibited as part of the International Museum Day activities at the Universidad de Santander on May 23–24, 2025. This dataset compiles the complete visual and documentary record of the collaborative artworks, including photographic documentation, digital designs, and supporting materials, and serves as an event memory and educational resource for interdisciplinary practices at the intersection of biotechnology, art, and science communication in Latin America.
DOI: 10.17632/cdz4nh3v8h.1
title: GenArt: Interdisciplinary Art and Science Event Memory

description: This dataset documents GenArt, an interdisciplinary biotechnology and art initiative developed as an educational and co-creation strategy involving students from the Bacteriology and Clinical Laboratory Program of the Universidad de Santander (UDES), Colombia, and art students from the Universidad Autónoma de México (UNAM). The initiative brought together participants from art and STEM-related disciplines to collaboratively explore the intersection of biotechnology, science communication, and cultural expression.

The GenArt event was held at the Universidad de Santander, Carare Building, on May 15–16, 2025, where interdisciplinary teams worked through guided learning and collaborative creation processes. All participants completed a shared introductory training through the online course “BioArt: Science and Creativity in Action”, developed by Fundación Eureka, which provided foundational knowledge in microbiology, genetic manipulation, and the use of chromogenic-protein-producing bacteria for artistic purposes. Following this training, students formed interdisciplinary teams, each supported by a tutor, to co-create artworks inspired by Indigenous communities from Colombia and Mexico.

Art students led the conceptual and visual design of the pieces, which were first developed through digital co-creation. These designs were later interpreted by students from the Bacteriology and Clinical Laboratory Program into agar-based biological artworks using genetically modified bacteria, following established biosafety guidelines. The resulting works were assembled into a collective installation titled “Ethnic Cell”, structured around the central artwork “The Nucleus” and surrounded by 22 artworks representing Indigenous communities from both countries.

The final installation was exhibited as part of the International Museum Day activities at the Universidad de Santander on May 23–24, 2025. This dataset compiles the complete visual and documentary record of the collaborative artworks, including photographic documentation, digital designs, and supporting materials, and serves as an event memory and educational resource for interdisciplinary practices at the intersection of biotechnology, art, and science communication in Latin America.
DOI: 10.5517/ccdc.csd.ccz57ly
title: CCDC 898770: Experimental Crystal Structure Determination

description: Related Article: Kai Neuschulz, Mathias S. Wickleder|2025|Z.Anorg.Allg.Chem.|651|e202500163|doi:10.1002/zaac.202500163
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: 10.5517/ccdc.csd.cc10xxqk
title: CCDC 951319: Experimental Crystal Structure Determination

description: Related Article: Güneş Demirtaş|2025|CSD Communication|||
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: 10.5517/ccdc.csd.cczkt2d
title: CCDC 910844: Experimental Crystal Structure Determination

description: Related Article: Kai Neuschulz, Mathias S. Wickleder|2025|Z.Anorg.Allg.Chem.|651|e202500163|doi:10.1002/zaac.202500163
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: 10.5517/ccdc.csd.cc1lq4xc
title: CCDC 1481053: Experimental Crystal Structure Determination

description: Related Article: Jordan Holmes, Christopher M. Pask, Charlotte E. Willans|2025|CSD Communication|||
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: 10.5517/ccdc.csd.cc1lq53l
title: CCDC 1481059: Experimental Crystal Structure Determination

description: Related Article: Jordan Holmes, Christopher M. Pask, Charlotte E. Willans|2025|CSD Communication|||
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: 10.5517/ccdc.csd.cc1mvnkp
title: CCDC 1515173: Experimental Crystal Structure Determination

description: Related Article: SIVASUBRAMANI  VEDIYAPPAN|2025|CSD Communication|||
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: 10.5517/ccdc.csd.cc1ngsvr
title: CCDC 1533565: Experimental Crystal Structure Determination

description: Related Article: Dattatraya H. Dethe, Balu Dherange|2025|Synlett|||doi:10.1055/a-2735-9451
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: 10.5517/ccdc.csd.cc1p4ylc
title: CCDC 1553893: Experimental Crystal Structure Determination

description: Related Article: Victoria M. Capel, Keith B. Dillon, Alan M. Kenwright, Dmitry S. Yufit, Natalia V. Zvereva|2025|CSD Communication|||
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: 10.5517/ccdc.csd.cc1przs6
title: CCDC 1572189: Experimental Crystal Structure Determination

description: Related Article: Ayumu Karimata, Shuichi Suzuki, Masatoshi Kozaki, Keiji Okada|2017|RSC Advances|7|56144|doi:10.1039/C7RA12600J
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.