cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17863/cam.84082
title: Data set for "Generalisable 3D printing error detection and correction via multi-head neural networks"

description: The dataset contains 1,272,273 labelled images of the the extrusion 3D printing process. A camera mounted next to the nozzle of the printer was used to capture images of material deposition for 192 different printed parts covering a range of geometries, material colours, and lighting conditions. Each image is labelled with: flow rate, lateral speed, Z offset, hotend temperature, hotend target temperature, bed temperature, timestamp, and nozzle tip x and y coordinates. To collect the data an automated pipeline was created to acquire and automatically label images from a fleet of 8 extrusion printers and to sample different combinations of printing parameters. The dataset provides a CSV of 948,396 pre-filtered images where complete failures, parameter outliers, dark images, and images just after parameter changes are removed. A raw CSV is also included labelling all images in the dataset. This dataset can be used for numerous applications such as real-time error detection, closed-loop control, and parameter prediction.
DOI: 10.15468/dl.uvdsus
title: Occurrence Download

description: A dataset containing 3799465 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Plantae, Undaria pinnatifida, Lindavia intermedia)",
 "Country is New Zealand",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 0",
 "DecimalLongitude is greater than or equal to -180",
 "DecimalLatitude is greater than or equal to -90",
 {
 "not" : {
 "or" : [
 "Issue is Zero coordinate",
 "Issue is Coordinate out of range",
 "Issue is Country coordinate mismatch"
 ]
 }
 }
 ]
}

 The dataset includes 3799465 records from 309 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017517-260208012135463/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.31338496
title: FOCUS-7D_Public

description: Generalizability remains a significant challenge for artificial intelligence (AI) models in ultrasound imaging, primarily due to the scarcity of large-scale, diverse,and comprehensively annotated multi-organ data. To address this gap, we present FOCUS-7D (FOundational Cross-organ Ultrasound Set for 7 Diseases), a large-scale, multi-organ ultrasound dataset designed to foster the development of foundational AI models. This resource integrates 11,002 images (5,262 prospectively collected from four tertiary hospitals and 6,740 curated from public sources) across seven critical anatomical regions: thyroid, breast, liver, kidney, fetal head, heart,and appendix. The dataset supports both segmentation and classification tasks.All annotations underwent a rigorous multi-tier validation process, beginning with initial segmentation by junior annotators, followed by refinement under senior sonographer supervision, and concluding with final verification by physicians with over 10 years of experience. To demonstrate its utility, we established baseline bench?marks. Models trained on FOCUS-7D achieved high performance, with a notable mean Dice coefficient for segmentation and strong accuracy for classification, confirming the dataset’s quality and the robustness of the established benchmarks.By harmonizing diverse and clinically representative data, FOCUS-7D bridges the gap between AI research and real-world application, enabling the development of generalizable ultrasound AI models for enhanced diagnostic workflows.<br><br>The FOCUS-7D_Public dataset is collected from nine public datasets, and the list of these public datasets is as follows:<br>BUS-BRA: https://doi.org/10.5281/zenodo.8231412<br>BUSI: https://scholar.cu.edu.eg/?q=afahmy/pages/datasetBUSIS: http://cvprip.cs.usu.edu/busbench<br>CAMUS: https://camus.creatis.insa-lyon.fr/challenge/<br>DDTI: https://drive.google.com/file/d/1wwlsEhwfSyvQsJBRjeDLhUjqZh8eaH2R/view<br>Fetal_HC: https://zenodo.org/records/1327317<br>KidneyUS: https://github.com/rsingla92/kidneyUS?tab=readme-ov-file<br>Appendix: http://dx.doi.org/10.5281/zenodo.7711412<br>Fatty-Liver: https://zenodo.org/records/1009146
DOI: 10.6084/m9.figshare.31338496.v1
title: FOCUS-7D_Public

description: Generalizability remains a significant challenge for artificial intelligence (AI) models in ultrasound imaging, primarily due to the scarcity of large-scale, diverse,and comprehensively annotated multi-organ data. To address this gap, we present FOCUS-7D (FOundational Cross-organ Ultrasound Set for 7 Diseases), a large-scale, multi-organ ultrasound dataset designed to foster the development of foundational AI models. This resource integrates 11,002 images (5,262 prospectively collected from four tertiary hospitals and 6,740 curated from public sources) across seven critical anatomical regions: thyroid, breast, liver, kidney, fetal head, heart,and appendix. The dataset supports both segmentation and classification tasks.All annotations underwent a rigorous multi-tier validation process, beginning with initial segmentation by junior annotators, followed by refinement under senior sonographer supervision, and concluding with final verification by physicians with over 10 years of experience. To demonstrate its utility, we established baseline bench?marks. Models trained on FOCUS-7D achieved high performance, with a notable mean Dice coefficient for segmentation and strong accuracy for classification, confirming the dataset’s quality and the robustness of the established benchmarks.By harmonizing diverse and clinically representative data, FOCUS-7D bridges the gap between AI research and real-world application, enabling the development of generalizable ultrasound AI models for enhanced diagnostic workflows.<br><br>The FOCUS-7D_Public dataset is collected from nine public datasets, and the list of these public datasets is as follows:<br>BUS-BRA: https://doi.org/10.5281/zenodo.8231412<br>BUSI: https://scholar.cu.edu.eg/?q=afahmy/pages/datasetBUSIS: http://cvprip.cs.usu.edu/busbench<br>CAMUS: https://camus.creatis.insa-lyon.fr/challenge/<br>DDTI: https://drive.google.com/file/d/1wwlsEhwfSyvQsJBRjeDLhUjqZh8eaH2R/view<br>Fetal_HC: https://zenodo.org/records/1327317<br>KidneyUS: https://github.com/rsingla92/kidneyUS?tab=readme-ov-file<br>Appendix: http://dx.doi.org/10.5281/zenodo.7711412<br>Fatty-Liver: https://zenodo.org/records/1009146
DOI: 10.15468/dl.bm7zsn
title: Occurrence Download

description: A dataset containing 258 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ramonda myconi",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 258 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017557-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8ts8fr
title: Occurrence Download

description: A dataset containing 353 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Croton lachnostachyus",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 353 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017556-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s4ajnw
title: Occurrence Download

description: A dataset containing 3753 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Declieuxia fruticosa",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 3753 records from 163 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017558-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/7b4r8z
title: Status of the adder in Scotland (2022-24): field survey results

description: This dataset contains the results from the field survey element of a report to assess the status of adders (Vipera berus) in Scotland. 16 sites were surveyed between 2022 and 2024 using visual survey methods, with multiple visits per site per year where possible.
DOI: 10.15468/f4z8qq
title: Status of the adder in Scotland (2022-24): questionnaire results

description: This dataset contains the results from the questionnaire element of a report to assess the status of adders (Vipera berus) in Scotland. The questionnaire was conducted between 2023 and 2024, and was mainly targeted at landowners and managers, including farmers and crofters, but allowed participation from anyone who knew land in Scotland well and had done so for a long period of time. Respondents were asked if adders, common lizards, slow-worms and adders had occurred on their land, and how frequently adders were observed on their land before 2013, between 2013 and 2017 and between 2018 and 2022. This dataset contains records for the 2013-2017 and 2018 and 2022 time periods. However, the pre-2013 data and whether any of the four reptile species had occurred on the land are not included as date information was not available for these responses.
DOI: 10.6084/m9.figshare.31338481.v1
title: <b>Peak carbon sequestration rate reached on the Loess Plateau plantations</b>

description: <b>The dataset contains the s</b><b>ource data for graphs and charts.</b>
DOI: 10.34740/kaggle/dsv/14836220
title: Full TMDB Movies Dataset 2024 (1M Movies)
DOI: 10.34740/kaggle/dsv/14836226
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.48580/dgwp4.v1
title: Ocean Species Discoveries 28–30 — new species of chitons (Mollusca, Polyplacophora) and a public naming competition
DOI: 10.48580/dgwp5.v1
title: First description on female and tadpole of Nidirana chongqingensis Ma & Wang, 2023 (Anura, Ranidae) and its distribution expansion in Guizhou Province, China
DOI: 10.5281/zenodo.18370183
title: Dataset: Measuring the Gravitational Response to Structure

description: This archive contains the data products, analysis outputs, and code used in Chaplin (2026), Measuring the Gravitational Response, which empirically quantifies a scale-selective and structure-conditioned gravitational lensing response using CMB lensing (κ) and large-scale structure tracers.

The dataset includes:





Processed κ×δg cross-correlation outputs




Structure-conditioned response metrics




Dark-matter-compatible null test ensembles




Rotation, masking, and scale-localization diagnostics




Scripts required to reproduce all reported figures and summary statistics



The archive is intended to support independent replication, robustness testing, and alternative theoretical interpretation. No specific gravitational or dark-matter model is assumed by the data products themselves.
DOI: 10.5281/zenodo.18370184
title: Dataset: Measuring the Gravitational Response to Structure

description: This archive contains the data products, analysis outputs, and code used in Chaplin (2026), Measuring the Gravitational Response, which empirically quantifies a scale-selective and structure-conditioned gravitational lensing response using CMB lensing (κ) and large-scale structure tracers.

The dataset includes:





Processed κ×δg cross-correlation outputs




Structure-conditioned response metrics




Dark-matter-compatible null test ensembles




Rotation, masking, and scale-localization diagnostics




Scripts required to reproduce all reported figures and summary statistics



The archive is intended to support independent replication, robustness testing, and alternative theoretical interpretation. No specific gravitational or dark-matter model is assumed by the data products themselves.
DOI: 10.6084/m9.figshare.30774524
title: Diffractive Magic Cube Network with Super-high Capacity Enabled by Mechanical Reconfiguration

description: This file contains the main data of manuscript "Diffractive Magic Cube Network with Super-high Capacity Enabled by Mechanical Reconfiguration"
DOI: 10.6084/m9.figshare.30774524.v1
title: Diffractive Magic Cube Network with Super-high Capacity Enabled by Mechanical Reconfiguration

description: This file contains the main data of manuscript "Diffractive Magic Cube Network with Super-high Capacity Enabled by Mechanical Reconfiguration"
DOI: 10.6084/m9.figshare.30275893
title: Transcriptomic Signature-Guided Depletion of Intermediate Alveolar Epithelial Cells Ameliorates Pulmonary Fibrosis in Mice

description: In this study, we leverage unique transcriptomic signatures identified via scRNA-seq to guide gene delivery to specific cell populations in mouse lungs. We show that targeted depletion of transitional AT2 cells, utilizing diphtheria toxin receptor (DTR)-mediated cell ablation guided by Sprr1a mRNA, ameliorated pulmonary fibrosis in mice.
DOI: 10.6084/m9.figshare.30275893.v1
title: Transcriptomic Signature-Guided Depletion of Intermediate Alveolar Epithelial Cells Ameliorates Pulmonary Fibrosis in Mice

description: In this study, we leverage unique transcriptomic signatures identified via scRNA-seq to guide gene delivery to specific cell populations in mouse lungs. We show that targeted depletion of transitional AT2 cells, utilizing diphtheria toxin receptor (DTR)-mediated cell ablation guided by Sprr1a mRNA, ameliorated pulmonary fibrosis in mice.
DOI: 10.6084/m9.figshare.30945218
title: Superelastic Tellurium Thermoelectric Coatings for Advanced Trimodal Microsensing

description: Source data of all figure
DOI: 10.6084/m9.figshare.30945218.v1
title: Superelastic Tellurium Thermoelectric Coatings for Advanced Trimodal Microsensing

description: Source data of all figure
DOI: 10.5281/zenodo.17863720
title: Dataset: Biomechanics of Copenhagen adduction exercise and eccentric hip adductor exercises on a novel isokinetic dynamometer with test–retest reliability

description: This study biomechanically evaluated short and long lever Copenhagen adduction exercise (CAE) and compare them with unilateral and bilateral eccentric hip adductor exercises performed on a novel isokinetic dynamometer (DEHA). Fifteen participants completed two CAE variations and five exercises on DEHA. Three-dimensional kinematics and force data were collected to compute hip joint torque, range of motion (ROM), and angle at peak torque during the CAE, while the same output variables were derived from the DEHA. The effects of exercise type and lever length on biomechanical outcomes, as well as relative and absolute test–retest reliabilities, were evaluated. The CAE produced significantly lower peak eccentric torques than all DEHA variants, regardless of lever length or unilateral/bilateral performance. Long lever CAE elicited greater peak and average torques than the short lever CAE, but through a reduced ROM. DEHA exercises generated significantly greater peak torques during bilateral performance, demonstrating the presence of bilateral facilitation (27.9 ± 16.5 %). Angles at peak torque were similar across all exercises (31–39°). With the exception of angle at peak torque during the CAE, all measurements showed good to excellent relative and moderate to good absolute reliability. Increasing lever length during CAE effectively raises hip adductor loading but limits ROM. In contrast, all DEHA variations enable greater loading across the full ROM and exhibit pronounced bilateral facilitation. Future intervention studies should determine whether such biomechanical advantages translate into superior clinical outcomes.
DOI: 10.5281/zenodo.17863719
title: Dataset: Biomechanics of Copenhagen adduction exercise and eccentric hip adductor exercises on a novel isokinetic dynamometer with test–retest reliability

description: This study biomechanically evaluated short and long lever Copenhagen adduction exercise (CAE) and compare them with unilateral and bilateral eccentric hip adductor exercises performed on a novel isokinetic dynamometer (DEHA). Fifteen participants completed two CAE variations and five exercises on DEHA. Three-dimensional kinematics and force data were collected to compute hip joint torque, range of motion (ROM), and angle at peak torque during the CAE, while the same output variables were derived from the DEHA. The effects of exercise type and lever length on biomechanical outcomes, as well as relative and absolute test–retest reliabilities, were evaluated. The CAE produced significantly lower peak eccentric torques than all DEHA variants, regardless of lever length or unilateral/bilateral performance. Long lever CAE elicited greater peak and average torques than the short lever CAE, but through a reduced ROM. DEHA exercises generated significantly greater peak torques during bilateral performance, demonstrating the presence of bilateral facilitation (27.9 ± 16.5 %). Angles at peak torque were similar across all exercises (31–39°). With the exception of angle at peak torque during the CAE, all measurements showed good to excellent relative and moderate to good absolute reliability. Increasing lever length during CAE effectively raises hip adductor loading but limits ROM. In contrast, all DEHA variations enable greater loading across the full ROM and exhibit pronounced bilateral facilitation. Future intervention studies should determine whether such biomechanical advantages translate into superior clinical outcomes.
DOI: 10.57967/hf/7818
title: PXD009449
DOI: 10.25505/fiz.icsd.cc2mf5dn
title: CSD 2425731: Experimental Crystal Structure Determination

description: Related Article: Toshihiro Nomura, Shunsuke Kitou, Junichi Komatsu, Jun Kimura, Kenichiro Koga, Takumi Hasegawa, Norio Ogita, Yuiga Nakamura, Hajime Ishikawa, Takeshi Yajima, Akira Matsuo, Maiko Kofu, Osamu Yamamuro, Zenji Hiroi, Yusuke Tomita, Taka-hisa Arima, Takasuke Matsuo|2026|J.Am.Chem.Soc.|||doi:10.1021/jacs.5c19407
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc2mf5gq
title: CSD 2425733: Experimental Crystal Structure Determination

description: Related Article: Toshihiro Nomura, Shunsuke Kitou, Junichi Komatsu, Jun Kimura, Kenichiro Koga, Takumi Hasegawa, Norio Ogita, Yuiga Nakamura, Hajime Ishikawa, Takeshi Yajima, Akira Matsuo, Maiko Kofu, Osamu Yamamuro, Zenji Hiroi, Yusuke Tomita, Taka-hisa Arima, Takasuke Matsuo|2026|J.Am.Chem.Soc.|||doi:10.1021/jacs.5c19407
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.31338535
title: meta

description: Escalating microplastics (MPs) pollution poses an emerging threat to soil carbon storage. However, the feedback loops between MPs, microbial communities, and climate change remain poorly resolved. In this study, we conducted a global meta-analysis of 508 observations from 51 publications, systematically quantifying the response of soil organic carbon (SOC) fractions and microbial traits to MPs under diverse climate stressors (e.g., drought, warming). The resultsreveal a critical carbon trade-off: while MPs served as exogenous carbon source, expanding SOC pools by 50.4%, they simultaneously destabilized these pools by accelerating respiratory losses (CO2+49.5%). This "accumulation-mineralization"paradox was most pronounced with biodegradable MPs, which acted as labile carbon source triggering intense microbial priming effects, particularly under high-dose and short-term exposure scenarios. Microbiologically, MPs exerted strong environmental filtering pressures, reducing α diversity and the fungal/bacterial ratio (F/B -10.3%), while significantly increasing community heterogeneity (β diversity+21.6%). Crucially, among climate drivers, warming emerged as the dominant amplifier, synergistically magnifying both MP-driven soil carbon accretion and respiratory turnover. Overall, this study elucidates the response patterns of the soil carbon-microbial system to MPs and climate change, offering an integrated perspective for understanding the carbon cycle under combined stressors and assessing related ecological risks.
DOI: 10.6084/m9.figshare.31338535.v1
title: meta

description: Escalating microplastics (MPs) pollution poses an emerging threat to soil carbon storage. However, the feedback loops between MPs, microbial communities, and climate change remain poorly resolved. In this study, we conducted a global meta-analysis of 508 observations from 51 publications, systematically quantifying the response of soil organic carbon (SOC) fractions and microbial traits to MPs under diverse climate stressors (e.g., drought, warming). The resultsreveal a critical carbon trade-off: while MPs served as exogenous carbon source, expanding SOC pools by 50.4%, they simultaneously destabilized these pools by accelerating respiratory losses (CO2+49.5%). This "accumulation-mineralization"paradox was most pronounced with biodegradable MPs, which acted as labile carbon source triggering intense microbial priming effects, particularly under high-dose and short-term exposure scenarios. Microbiologically, MPs exerted strong environmental filtering pressures, reducing α diversity and the fungal/bacterial ratio (F/B -10.3%), while significantly increasing community heterogeneity (β diversity+21.6%). Crucially, among climate drivers, warming emerged as the dominant amplifier, synergistically magnifying both MP-driven soil carbon accretion and respiratory turnover. Overall, this study elucidates the response patterns of the soil carbon-microbial system to MPs and climate change, offering an integrated perspective for understanding the carbon cycle under combined stressors and assessing related ecological risks.
DOI: 10.34740/kaggle/dsv/14836326
title: LUFlow Network Intrusion Detection Data Set
DOI: 10.5281/zenodo.18639554
title: Scalable Optimization of Ultra-Dense Heterogeneous Networks Using Stochastic Geometry and Deep Learning Techniques
DOI: 10.5281/zenodo.18639555
title: Scalable Optimization of Ultra-Dense Heterogeneous Networks Using Stochastic Geometry and Deep Learning Techniques
DOI: 10.34740/kaggle/dsv/14836430
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.7910/dvn/jttfyl
title: Replication data for 'Predicting Salmonella Typhi incidence using prevalence metrics from sentinel studies of community-onset bloodstream infections'

description: This contains data to replicate analysis for 'Predicting Salmonella Typhi incidence using prevalence metrics from sentinel studies of community-onset bloodstream infections'.
DOI: 10.5281/zenodo.18484064
title: Emergent Toroïdal Univers

description: Principe fondamental



La Forme avant la dynamique Dans le cadre ETU, un sursaut radio rapide (FRB) n’est ni une explosion de matière, ni unphénomène thermique.


Il s’agit d’une décharge de phase métrique : une relaxation brutale de latension géométrique locale lorsqu’un objet compact s’aligne transitoirement avec une harmoniquedu Tore cosmologique.

 

La radio n’est pas l’événement. Elle est l’écho minimal d’un réalignement de l’espace-temps.