cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/82mtzd8x72.2
title: Multi-Class Brain Tumor MRI Dataset: Glioma, Healthy Brain, Meningioma, and Pituitary Macroadenoma

description: This dataset presents a high-quality collection of brain MRI images categorized into four clinically relevant classes: Glioma, Meningioma, Pituitary Macroadenoma, and Healthy brain scans. Each category contains 300 images, resulting in a balanced dataset of 1,200 images suitable for robust machine learning, deep learning, and radiological analysis.

All MRI images have been collected from verified medical sources and anonymized to ensure ethical compliance. A verification certificate is included to validate the authenticity and approved use of the dataset. The images capture diverse tumor characteristics, sizes, and anatomical variations, providing a comprehensive resource for academic and clinical research.

This dataset is intended to support a range of applications, including but not limited to: brain tumor classification, tumor detection, segmentation research, radiomics analysis, and AI-driven medical imaging model development. Its balanced class distribution and clear labeling make it particularly useful for training supervised learning models.
DOI: 10.5281/zenodo.17582403
title: Data for Archaeobotanical Remains from Late Roman and Late Antique Serdica: Evidence from 35 Ekzarh Yosif Street, Sofia, Bulgaria

description: This dataset is comprised of two Excel spreadsheets, which include both charred and uncharred archaeobotanical remains of seeds, fruits and nuts, recovered during archaeological excavations of an area that belongs to Late Roman and late Antique Serdica and located at 35 Ekzarh Yosif Str., Sofia, Bulgaria.
DOI: 10.5281/zenodo.17582404
title: Data for Archaeobotanical Remains from Late Roman and Late Antique Serdica: Evidence from 35 Ekzarh Yosif Street, Sofia, Bulgaria

description: This dataset is comprised of two Excel spreadsheets, which include both charred and uncharred archaeobotanical remains of seeds, fruits and nuts, recovered during archaeological excavations of an area that belongs to Late Roman and late Antique Serdica and located at 35 Ekzarh Yosif Str., Sofia, Bulgaria.
DOI: 10.60520/ieda/114281
title: Soil lead concentrations in samples collected by high-school students in mining towns of the Peruvian Andes v.2

description: Exposure to lead (Pb) in contaminated soil is a significant health threat for children in Peru. Our team designed a module for the science curriculum of Peruvian high-schools organized around a kit to screen soil for Pb. This data set contains total Pb concentrations measured by X-ray fluorescence in Lima, along with GPS coordinates. For “alumnos” samples collected by the students, the resolution of GPS coordinates was degraded to 0.01 in latitude and longitude, approximately 1 km in each direction, to protect privacy. Some of these samples may have been on collected on private property. GPS coordinates for “communidad” samples of soil collected from public location by CREEH staff are provided at full resolution. Total Pb concentrations measured by XRF in soil collected from the mining town of Cerro de Pasco and the smelter town of La Oroya averaged 2,000±4,000 ppm and 600±500 ppm overall, respectively, and where considerably higher than in the Lima neighborhood of Ate (200±300 ppm), the ore shipping port of Callao (200±300 ppm), or the urban area north of Lima Mi Perú (100±100 ppm). This updated data set includes extractable Pb tests using a kit described by Landes et al. (Anal. Chem. 2019, 91, 8192−8198). In contrast to total soil Pb concentrations, extractable Pb concentrations are similar across the 3 study sites, suggesting large differences in the proportion of total Pb that is extractable.
description: AGU iposter: https://agu23.ipostersessions.com/Default.aspx?s=CC-7A-8C-96-E4-06-A5-96-43-66-F3-15-6A-8F-22-66
DOI: 10.15468/dl.pv9amp
title: Occurrence Download

description: A dataset containing 181428 species occurrences available in GBIF matching the query:
{
 "and" : [
 "SpeciesKey is one of (Spizella breweri)",
 "BasisOfRecord is one of (Human Observation, Observation, Occurrence evidence)",
 "Year is greater than or equal to 1951",
 "Year is less than or equal to 2024",
 "Month is greater than or equal to April",
 "Month is less than or equal to July",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 181428 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049527-251120083545085/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.30830945
title: RNA-seq of 4 colorectal cancer cases

description: <b>Abstract</b><b>Background:</b> Colorectal cancer (CRC) is associated with a high recurrence rate and late-stage diagnosis, leading to poor prognosis, thus urgent need for reliable prognostic biomarkers. Existing polygenic prognostic models mostly overlook individual molecular heterogeneity and neuromodulatory pathways. However, the nervous system is involved in tumor progression via pathways such as Axon Guidance, whose prognostic value in CRC remains unestablished.<b>M</b><b>ethod</b>：Based on transcriptomic and clinical data of CRC patients from the TCGA database, this study screened key genes through survival and differential expression analyses. Combined with stepwise Cox regression and machine learning, we constructed the OPISV prognostic model that integrates individual heterogeneity and neuromodulatory pathways, including four variables: age, M stage, EPHB2, and ZNF346. The model was validated using external datasets via Kaplan–Meier survival analysis and ROC curve evaluation; LASSO and logistic regression further confirmed its significant association with patient survival.<b>R</b><b>esult</b>: Notably, the Axon Guidance pathway was significantly enriched between the high-risk and low-risk OPISV groups. We further explored the biological role and underlying mechanisms of this pathway in CRC. Immune cell infiltration and mutational profiles were also compared between OPISV groups, and functional enrichment analyses were performed across Axon Guidance-related subtypes.<b>conclusion</b><b>:</b> the OPISV model is a reliable and practical tool for predicting patient prognosis. It may also provide mechanistic insights into the role of Axon Guidance in CRC progression.
DOI: 10.6084/m9.figshare.30830945.v1
title: RNA-seq of 4 colorectal cancer cases

description: <b>Abstract</b><b>Background:</b> Colorectal cancer (CRC) is associated with a high recurrence rate and late-stage diagnosis, leading to poor prognosis, thus urgent need for reliable prognostic biomarkers. Existing polygenic prognostic models mostly overlook individual molecular heterogeneity and neuromodulatory pathways. However, the nervous system is involved in tumor progression via pathways such as Axon Guidance, whose prognostic value in CRC remains unestablished.<b>M</b><b>ethod</b>：Based on transcriptomic and clinical data of CRC patients from the TCGA database, this study screened key genes through survival and differential expression analyses. Combined with stepwise Cox regression and machine learning, we constructed the OPISV prognostic model that integrates individual heterogeneity and neuromodulatory pathways, including four variables: age, M stage, EPHB2, and ZNF346. The model was validated using external datasets via Kaplan–Meier survival analysis and ROC curve evaluation; LASSO and logistic regression further confirmed its significant association with patient survival.<b>R</b><b>esult</b>: Notably, the Axon Guidance pathway was significantly enriched between the high-risk and low-risk OPISV groups. We further explored the biological role and underlying mechanisms of this pathway in CRC. Immune cell infiltration and mutational profiles were also compared between OPISV groups, and functional enrichment analyses were performed across Axon Guidance-related subtypes.<b>conclusion</b><b>:</b> the OPISV model is a reliable and practical tool for predicting patient prognosis. It may also provide mechanistic insights into the role of Axon Guidance in CRC progression.
DOI: 10.17632/n5grwdcgzy
title: The Strategic Role of Bamboo as a Sustainable Bioenergy Feedstock: Technical, Economic, and Policy Review

description: The continual rise in global population, depletion of fossil fuel reserves, and escalating environmental challenges have intensified the pursuit of sustainable, renewable, and affordable energy alternatives. Among these, bioenergy has emerged as a practical and promising substitute for fossil-derived fuels and now forms a vital component of the global energy mix. This review examines the potential of bamboo as a renewable lignocellulosic feedstock for producing various forms of bioenergy. It presents an overview of the global bamboo market, cultivation practices, harvesting methods, pretreatment technologies, and the physicochemical properties that make bamboo an attractive biomass resource. The processes for converting bamboo into pellets, briquettes, biochar, bioethanol, bio-oil, biobutanol, syngas, biogas, and biomethane are analyzed in detail. Utilizing bamboo for bioenergy production is cost-effective and sustainable, achieving high conversion efficiency and superior bioenergy yield and quality. However, issues such as deforestation, land and water use conflicts, scalability, limited biomass markets, and inconsistent policies remain major barriers. These challenges can be mitigated through targeted research funding, the development of innovative pretreatment and conversion technologies, genetic improvement of bamboo species, and comprehensive life cycle and sustainability assessments. Strengthened collaboration among academia, industry, and government, supported by robust ethical, legal, and regulatory frameworks, will accelerate the integration of bamboo into the global bioenergy economy.
DOI: 10.17026/ar/xvfwku
title: PAN-00110855 - medieval badge, religious: Christ (reference)

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00110855&lt;/p&gt;
description: Modified: 2025-06-14T08:35:33+02:00
DOI: 10.17632/n5grwdcgzy.2
title: The Strategic Role of Bamboo as a Sustainable Bioenergy Feedstock: Technical, Economic, and Policy Review

description: The continual rise in global population, depletion of fossil fuel reserves, and escalating environmental challenges have intensified the pursuit of sustainable, renewable, and affordable energy alternatives. Among these, bioenergy has emerged as a practical and promising substitute for fossil-derived fuels and now forms a vital component of the global energy mix. This review examines the potential of bamboo as a renewable lignocellulosic feedstock for producing various forms of bioenergy. It presents an overview of the global bamboo market, cultivation practices, harvesting methods, pretreatment technologies, and the physicochemical properties that make bamboo an attractive biomass resource. The processes for converting bamboo into pellets, briquettes, biochar, bioethanol, bio-oil, biobutanol, syngas, biogas, and biomethane are analyzed in detail. Utilizing bamboo for bioenergy production is cost-effective and sustainable, achieving high conversion efficiency and superior bioenergy yield and quality. However, issues such as deforestation, land and water use conflicts, scalability, limited biomass markets, and inconsistent policies remain major barriers. These challenges can be mitigated through targeted research funding, the development of innovative pretreatment and conversion technologies, genetic improvement of bamboo species, and comprehensive life cycle and sustainability assessments. Strengthened collaboration among academia, industry, and government, supported by robust ethical, legal, and regulatory frameworks, will accelerate the integration of bamboo into the global bioenergy economy.
DOI: 10.17632/ns9n5mjy8x
title: Proposed mechanism for Rft1-mediated scrambling of a dolichol-linked oligosaccharide

description: Co-folding models of the Rft1 and MurJ transporter in complex with the substrates, M5-DLO and lipid II respectively. Data used in preprint https://doi.org/10.64898/2025.12.07.692794
DOI: 10.17632/ns9n5mjy8x.1
title: Proposed mechanism for Rft1-mediated scrambling of a dolichol-linked oligosaccharide

description: Co-folding models of the Rft1 and MurJ transporter in complex with the substrates, M5-DLO and lipid II respectively. Data used in preprint https://doi.org/10.64898/2025.12.07.692794
DOI: 10.6084/m9.figshare.30870611
title: Wendt & Hesselmann (2025)

description: We studied masked response priming from a dual-tasking perspective using EEG.
DOI: 10.6084/m9.figshare.30870611.v1
title: Wendt & Hesselmann (2025)

description: We studied masked response priming from a dual-tasking perspective using EEG.
DOI: 10.6084/m9.figshare.30870452.v3
title: Abundant surface resins present on Middle Devonian land plants, Nature Communications Earth and Environment (2025).

description: This Figshare item contains two datasets supporting the associated manuscript. The first dataset provides quantitative measurements of Middle Devonian cuticle thickness and corresponding surface resin film thickness from different localities. The second dataset presents quantitative data for organic compounds identified in the saturated and maltene fractions of purified cuticle extracts from various Middle Devonian lithobiolith samples. Together, these datasets support the morphological and geochemical analyses reported in the study.
DOI: 10.5281/zenodo.17913271
title: Inklusion als Thema in der Psychotherapeut:innenausbildung: Replication materials
DOI: 10.5281/zenodo.17913270
title: Inklusion als Thema in der Psychotherapeut:innenausbildung: Replication materials
DOI: 10.5281/zenodo.17909604
title: Cod. Dresden A.151 Ground Truth, Part I

description: This is a dataset created during the HTR Winter School 2025 at IMAFO, ÖAW, Vienna using Transkribus. The participants transcribed a total of 110 pages from cod. Dresden, SLUB, A. 151, a 15th-century Greek Euchologion. This ground truth was used to train the private model "Dresden Euchologion 2.3".

Participants sometimes transcribed from scratch, but mostly used the private models "Dresden Euchologion 1" created during HTR 2023 or "Dresden Euchologion 2.1" and then corrected manually.

Special attention was given to correcting line polygons.

 

The transcription rules were the following:

Do not normalise orthography. Keep the mistakes. But tag the wrong word with "sic" and provide the correct spelling.

 Expand the abbreviations and tag them as such.

Add iota suscriptum

Transcribe also marginal notes. Have them as separate areas in the lay-out.

Punctuation: Keep comma. Use semi-colon, i.e. άνω τελεία (·) for dots inside the text. Use full-stop at the end of the text.
DOI: 10.5281/zenodo.17909605
title: Cod. Dresden A.151 Ground Truth, Part I

description: This is a dataset created during the HTR Winter School 2025 at IMAFO, ÖAW, Vienna using Transkribus. The participants transcribed a total of 110 pages from cod. Dresden, SLUB, A. 151, a 15th-century Greek Euchologion. This ground truth was used to train the private model "Dresden Euchologion 2.3".

Participants sometimes transcribed from scratch, but mostly used the private models "Dresden Euchologion 1" created during HTR 2023 or "Dresden Euchologion 2.1" and then corrected manually.

Special attention was given to correcting line polygons.

 

The transcription rules were the following:

Do not normalise orthography. Keep the mistakes. But tag the wrong word with "sic" and provide the correct spelling.

 Expand the abbreviations and tag them as such.

Add iota suscriptum

Transcribe also marginal notes. Have them as separate areas in the lay-out.

Punctuation: Keep comma. Use semi-colon, i.e. άνω τελεία (·) for dots inside the text. Use full-stop at the end of the text.
DOI: 10.34943/f39f9be1-9c2e-4d98-8b90-d7074ccf6761
title: Cascadia Basin Bottom Pressure Recorder Deployed 2015-09-04

description: The NRCan Bottom Pressure Recorder 78 was deployed on 2015-09-04 at Cascadia Basin. Cascadia Basin is located in the abyssal plain of the Pacific Ocean. At this location, hydrologic conditions in sediment-sealed igneous crust, Tsunami propagation, cool-water deep-sea microbes, and abyssal plain ecosystems are observed. This device is a Bottom Pressure Recorder. Bottom Pressure Recorders (BPR) are instruments that can detect small changes in pressure on the seafloor. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.34943/b1d6f569-8458-464d-b2c8-30452104cbd7
title: Cascadia Basin Bottom Pressure Recorder Deployed 2015-09-04

description: The NRCan Bottom Pressure Recorder 78 was deployed on 2015-09-04 at Cascadia Basin. Cascadia Basin is located in the abyssal plain of the Pacific Ocean. At this location, hydrologic conditions in sediment-sealed igneous crust, Tsunami propagation, cool-water deep-sea microbes, and abyssal plain ecosystems are observed. This device is a Bottom Pressure Recorder. Bottom Pressure Recorders (BPR) are instruments that can detect small changes in pressure on the seafloor. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.5281/zenodo.17913315
title: Multidimensional restructuring of freshwater fish β diversity under biological invasions: implications for biodiversity conservation
DOI: 10.5281/zenodo.17913314
title: Multidimensional restructuring of freshwater fish β diversity under biological invasions: implications for biodiversity conservation
DOI: 10.5281/zenodo.17881081
title: Simulations of Coastal Polynya Evolution and Atmospheric Impacts in Greenland and Antarctica

description: This repository contains the simulation data and supporting materials used in the study, which investigates the evolution of coastal polynyas and their atmospheric impacts in both the Arctic and Antarctic. The dataset includes regional climate model (RCM) simulations performed with the Harmonie-Climate (HCLIM) model.

 

Content



HCLIM simulation outputs for:





Northern Greenland (2018)




Terra Nova Bay, Antarctica (2010)





Purpose of the Dataset

The dataset supports process-based understanding of coastal polynyas and evaluates how improved satellite-derived sea ice boundary conditions affect regional climate model behaviour. It demonstrates that incorporating the higher-resolution ESA CCI sea ice product directly into RCMs can significantly enhance the representation of:





Near-coastal atmospheric structure




Boundary layer mixing




Cloud properties




Local meteorological conditions in polynya-affected regions



These findings highlight the value of high-resolution Earth Observation data in polar climate modelling and support the integration of such data into data assimilation and reanalysis systems.




Methodology





Simulations were conducted using the Harmonie-Climate (HCLIM) model with:





Spectral nudging of large-scale atmospheric fields




A polar-optimised surface scheme




Direct ingestion of satellite sea ice concentration datasets






Model domains cover:





Northern Greenland polynyas during 2018




Terra Nova Bay, Antarctica during 2010
DOI: 10.5281/zenodo.17881080
title: Simulations of Coastal Polynya Evolution and Atmospheric Impacts in Greenland and Antarctica

description: This repository contains the simulation data and supporting materials used in the study, which investigates the evolution of coastal polynyas and their atmospheric impacts in both the Arctic and Antarctic. The dataset includes regional climate model (RCM) simulations performed with the Harmonie-Climate (HCLIM) model.

 

Content



HCLIM simulation outputs for:





Northern Greenland (2018)




Terra Nova Bay, Antarctica (2010)





Purpose of the Dataset

The dataset supports process-based understanding of coastal polynyas and evaluates how improved satellite-derived sea ice boundary conditions affect regional climate model behaviour. It demonstrates that incorporating the higher-resolution ESA CCI sea ice product directly into RCMs can significantly enhance the representation of:





Near-coastal atmospheric structure




Boundary layer mixing




Cloud properties




Local meteorological conditions in polynya-affected regions



These findings highlight the value of high-resolution Earth Observation data in polar climate modelling and support the integration of such data into data assimilation and reanalysis systems.




Methodology





Simulations were conducted using the Harmonie-Climate (HCLIM) model with:





Spectral nudging of large-scale atmospheric fields




A polar-optimised surface scheme




Direct ingestion of satellite sea ice concentration datasets






Model domains cover:





Northern Greenland polynyas during 2018




Terra Nova Bay, Antarctica during 2010
DOI: 10.34740/kaggle/dsv/14128922
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.17026/ar/puopsa
title: PAN-00175922 - Roman lift-slide key with block-formed bit, group A

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00175922&lt;/p&gt;
description: Modified: 2025-08-11T15:26:17+02:00
DOI: 10.15468/dl.s52fnz
title: Occurrence Download

description: A dataset containing 48721 species occurrences available in GBIF matching the query:
{
 "and" : [
 "SpeciesKey is one of (Gymnorhinus cyanocephalus)",
 "BasisOfRecord is one of (Human Observation, Observation, Occurrence evidence)",
 "Year is greater than or equal to 1951",
 "Year is less than or equal to 2024",
 "Month is greater than or equal to April",
 "Month is less than or equal to July",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 48721 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049553-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kuwn6f
title: Occurrence Download

description: A dataset containing 1035 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((150.793805 -29.266805, 150.758422 -29.228169, 150.709188 -29.228169, 150.744559 -29.266805, 150.793805 -29.266805))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2015",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 1035 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049554-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17911393
title: TREMOL data for paper in GMD

description: Dataset for reproducing figures and results in the paper "TREMOL v1.0: validating synthetic seismicity generation fromsingle asperities in subduction zones."
DOI: 10.5281/zenodo.17911394
title: TREMOL data for paper in GMD

description: Dataset for reproducing figures and results in the paper "TREMOL v1.0: validating synthetic seismicity generation fromsingle asperities in subduction zones."
DOI: 10.5281/zenodo.17913381
title: Road Monitoring Route #13

description: Road monitoring data from Camber project - Route #13
Uploaded: 2025-12-12 15:14:41 UTC
Distance: 10.90 km
Duration: 0.93 hours
Video: 0 malfunctions detected
DOI: 10.5281/zenodo.17913382
title: Road Monitoring Route #13

description: Road monitoring data from Camber project - Route #13
Uploaded: 2025-12-12 15:14:41 UTC
Distance: 10.90 km
Duration: 0.93 hours
Video: 0 malfunctions detected