cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17700441
title: ICU cytometry data

description: This repository contains additional data presented in our original article, "Superior Precision of Clinical Predictions after CD3-relativisation to Align Flow Cytometry Data," including raw and processed FCS files from 100 samples of 95 patients. This dataset captures information about T cell distributions in human healthy donors through standardised flow cytometry measurements with the DURAClone T cell subsets tube. 

 

Adhering to the nomenclature of https://zenodo.org/records/17094078, we supply multiple variants of the data: 



02_COMPENSATED: Compensated FCS files, using by-sample manually curated spillover matrices. Only BAD cohort used untouched device-compensations. 

03-1_gatedCD3: Singlets/CD45+ Leukocytes/CD3+ T cell gated samples. 

05-1_relativizedCD3: Data from 03-1_gatedCD3 after applying relativisation.
DOI: 10.5281/zenodo.17700440
title: ICU cytometry data

description: This repository contains additional data presented in our original article, "Superior Precision of Clinical Predictions after CD3-relativisation to Align Flow Cytometry Data," including raw and processed FCS files from 100 samples of 95 patients. This dataset captures information about T cell distributions in human healthy donors through standardised flow cytometry measurements with the DURAClone T cell subsets tube. 

 

Adhering to the nomenclature of https://zenodo.org/records/17094078, we supply multiple variants of the data: 



02_COMPENSATED: Compensated FCS files, using by-sample manually curated spillover matrices. Only BAD cohort used untouched device-compensations. 

03-1_gatedCD3: Singlets/CD45+ Leukocytes/CD3+ T cell gated samples. 

05-1_relativizedCD3: Data from 03-1_gatedCD3 after applying relativisation.
DOI: 10.5281/zenodo.17698588
title: RaspGrade

description: 🍓 The RaspGrade Dataset: Towards Automatic Raspberry Ripeness Grading with Deep Learning

This research investigates the application of computer vision for rapid, accurate, and non-invasive food quality assessment, focusing on the novel challenge of real-time raspberry grading into five distinct classes within an industrial environment as the fruits move along a conveyor belt. To address this, a dedicated dataset of raspberries, namely RaspGrade, was acquired and meticulously annotated.

Instance segmentation experiments revealed that accurate fruit-level masks can be obtained; however, the classification of certain raspberry grades presents challenges due to color similarities and occlusion, while others are more readily distinguishable based on color.
DOI: 10.5281/zenodo.17698589
title: RaspGrade

description: 🍓 The RaspGrade Dataset: Towards Automatic Raspberry Ripeness Grading with Deep Learning

This research investigates the application of computer vision for rapid, accurate, and non-invasive food quality assessment, focusing on the novel challenge of real-time raspberry grading into five distinct classes within an industrial environment as the fruits move along a conveyor belt. To address this, a dedicated dataset of raspberries, namely RaspGrade, was acquired and meticulously annotated.

Instance segmentation experiments revealed that accurate fruit-level masks can be obtained; however, the classification of certain raspberry grades presents challenges due to color similarities and occlusion, while others are more readily distinguishable based on color.
DOI: 10.5281/zenodo.17698637
title: FishGrade

description: Vision-Guided Robotic System for Automatic Fish Quality Grading and Packaging

This dataset (recorded with a Realsense D456 camera), associated with our work accepted in the IEEE/CAA Journal of Automatica Sinica, includes images and corresponding instance segmentation annotations (in YOLO format) of hake fish steaks on an industrial conveyor belt. It also provides BAG files for two quality grades of fish steaks (A and B), where A-grade steaks are generally larger. The paper details our use of YOLOv8 instance segmentation (check HERE how to train and validate the model) to isolate the fish steaks and the subsequent measurement of their size using the depth data from the BAG files.
DOI: 10.5281/zenodo.17698636
title: FishGrade

description: Vision-Guided Robotic System for Automatic Fish Quality Grading and Packaging

This dataset (recorded with a Realsense D456 camera), associated with our work accepted in the IEEE/CAA Journal of Automatica Sinica, includes images and corresponding instance segmentation annotations (in YOLO format) of hake fish steaks on an industrial conveyor belt. It also provides BAG files for two quality grades of fish steaks (A and B), where A-grade steaks are generally larger. The paper details our use of YOLOv8 instance segmentation (check HERE how to train and validate the model) to isolate the fish steaks and the subsequent measurement of their size using the depth data from the BAG files.
DOI: 10.15468/dl.rxgtbq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mammalia",
 "HasCoordinate is true",
 "Geometry POLYGON ((-115.6622 34.77828, -115.6622 34.78118, -115.6637 34.78241, -115.6684 34.78184, -115.6688 34.77733, -115.6622 34.77828))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005891-251120083545085/datasets/export for details.
DOI: 10.15468/dl.x6p7y6
title: Occurrence Download

description: A dataset containing 60710 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ukraine",
 "GadmGid is UKR.23_1",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 60710 records from 183 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005866-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sjd3p3
title: Occurrence Download

description: A dataset containing 593725 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "TaxonKey is Impatiens glandulifera"
 ]
}

 The dataset includes 593725 records from 877 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005859-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5stga3
title: Occurrence Download

description: A dataset containing 407 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "NetworkKey is 99d66b6c-9087-452f-a9d4-f15f2c2d0e7e",
 "TaxonKey is Chordata"
 ]
 },
 {
 "and" : [
 "InstitutionCode is one of (LACM)",
 "TaxonKey is one of (Junco hyemalis [GBIF Backbone Taxonomy])"
 ]
 }
 ]
}

 The dataset includes 407 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003425-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bgpdnc
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((-7.513 5.018153, -7.583531 5.012583, -7.652322 4.996009, -7.717676 4.968842, -7.777981 4.93175, -7.831751 4.885649, -7.877662 4.831675, -7.914584 4.77116, -7.941609 4.705594, -7.958075 4.636594, -7.963578 4.565858, -7.957987 4.49513, -7.941443 4.426149, -7.914356 4.360614, -7.877394 4.300138, -7.831469 4.246207, -7.777713 4.200149, -7.717447 4.163096, -7.652156 4.135959, -7.583444 4.119405, -7.513 4.113841, -7.442556 4.119405, -7.373844 4.135959, -7.308553 4.163096, -7.248287 4.200149, -7.194531 4.246207, -7.148606 4.300138, -7.111644 4.360614, -7.084557 4.426149, -7.068013 4.49513, -7.062422 4.565858, -7.067925 4.636594, -7.084391 4.705594, -7.111416 4.77116, -7.148338 4.831675, -7.194249 4.885649, -7.248019 4.93175, -7.308324 4.968842, -7.373678 4.996009, -7.442469 5.012583, -7.513 5.018153))"},{"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 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003426-260120142942310/datasets/export for details.
DOI: 10.34740/kaggle/dsv/14574705
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.5281/zenodo.18331493
title: Kharkiv National University of Radio Electronics publications in Computer Science

description: The file contains comprehensive bibliometric data from Scopus regarding publications affiliated with NURE. The data is filtered for Computer Science publications using the Times Higher Education subject classification and covers the period 2020–2024. The dataset includes 11 sheets, each analysing a different aspect of the publication profile.  Total 1147 publications over 5 years. Collaboration: Strong national and growing international networks (especially Eastern Europe). Publication culture is conference-driven, with high open access engagement (especially Gold OA). The research focus aligns with SDG 9 (Industry & Innovation, and Infrastructure) and makes significant contributions to health, energy, and education. This dataset is useful for research performance analysis, collaboration mapping, open access policy assessment, and strategic research planning.1. Top 100 authors. Lists the most prolific authors affiliated with NURE in Computer Science. Bodyanskiy, Y., leads with 59 publications, followed by Lemeshko, O., and Yeremenko, O., with 49 each.2. Top collaborating institutions include:Ivan Kozhedub Kharkiv National Air Force University (110)V. N. Karazin Kharkiv National University (102)National Technical University Kharkiv Polytechnic Institute (89)3. Annual publication counts:2021: 297 (peak year)2023: 2302022: 2252024: 2002020: 1954. Open Access breakdown:Not Open Access: 883All Open Access: 264Gold OA: 243Green OA: 178Hybrid Gold: 8, Bronze: 55. Top author counts per publicationShows team size distribution: ≤10 authors: 1141 publications6. Top international collaborators:Poland (71)Germany (35)Kazakhstan (32)Slovakia (25)Azerbaijan (24)7. Top publication typesConference Paper: 799 (most common)Article: 263Chapter: 77Review: 5Book: 38.  Almost all publications are Final (1146). Only 1 is an Article in Press.9. Top 100 Scopus sources:CEUR Workshop Proceedings: 197Eastern-European Journal of Enterprise Technologies: 79Various IEEE conference proceedings are prominent.10. Top languagesEnglish: 1140 (overwhelming majority)Ukrainian: 18Russian: 3Chinese: 111. Publications linked to UN SDGs:SDG 9 (Industry, Innovation): 76 (most aligned)SDG 3 (Health): 19SDG 7 (Clean Energy): 18SDG 4 (Education): 15
DOI: 10.5281/zenodo.18331492
title: Kharkiv National University of Radio Electronics publications in Computer Science

description: The file contains comprehensive bibliometric data from Scopus regarding publications affiliated with NURE. The data is filtered for Computer Science publications using the Times Higher Education subject classification and covers the period 2020–2024. The dataset includes 11 sheets, each analysing a different aspect of the publication profile.  Total 1147 publications over 5 years. Collaboration: Strong national and growing international networks (especially Eastern Europe). Publication culture is conference-driven, with high open access engagement (especially Gold OA). The research focus aligns with SDG 9 (Industry & Innovation, and Infrastructure) and makes significant contributions to health, energy, and education. This dataset is useful for research performance analysis, collaboration mapping, open access policy assessment, and strategic research planning.1. Top 100 authors. Lists the most prolific authors affiliated with NURE in Computer Science. Bodyanskiy, Y., leads with 59 publications, followed by Lemeshko, O., and Yeremenko, O., with 49 each.2. Top collaborating institutions include:Ivan Kozhedub Kharkiv National Air Force University (110)V. N. Karazin Kharkiv National University (102)National Technical University Kharkiv Polytechnic Institute (89)3. Annual publication counts:2021: 297 (peak year)2023: 2302022: 2252024: 2002020: 1954. Open Access breakdown:Not Open Access: 883All Open Access: 264Gold OA: 243Green OA: 178Hybrid Gold: 8, Bronze: 55. Top author counts per publicationShows team size distribution: ≤10 authors: 1141 publications6. Top international collaborators:Poland (71)Germany (35)Kazakhstan (32)Slovakia (25)Azerbaijan (24)7. Top publication typesConference Paper: 799 (most common)Article: 263Chapter: 77Review: 5Book: 38.  Almost all publications are Final (1146). Only 1 is an Article in Press.9. Top 100 Scopus sources:CEUR Workshop Proceedings: 197Eastern-European Journal of Enterprise Technologies: 79Various IEEE conference proceedings are prominent.10. Top languagesEnglish: 1140 (overwhelming majority)Ukrainian: 18Russian: 3Chinese: 111. Publications linked to UN SDGs:SDG 9 (Industry, Innovation): 76 (most aligned)SDG 3 (Health): 19SDG 7 (Clean Energy): 18SDG 4 (Education): 15
DOI: 10.6084/m9.figshare.28605217
title: Formulation and characterization of Mirtazapine loaded mucoadhesive cubosomal in-situ gel for intranasal delivery

description: The goal of the present investigation was to formulate and characterize the Cubosomal in-situ gel of Mirtazapine for intranasal delivery. The cubosomal preparation ensures higher entrapment of drug and delivery through intranasal route improves brain targeting of drug by avoiding the Blood Brain Barrier. Cubosomes were prepared by bottom-up approach & Central Composite Design was used for optimization. In-situ thermosensitive gel was formulated by cold method and optimization was done based on gelation temperature and time. The optimized cubosomal formulation was evaluated for various parameters like vesicular size, entrapment efficiency, TEM analysis, in-vitro drug release and ex-vivo permeation study. The cubosomal in-situ gel was evaluated for gelling time, temperature, mucoadhesive and gelling strength. The optimized formulation exhibited 90.33% drug release which confirms that it exhibited superior drug release characteristic as compared to pure drug suspension. The optimized formulation was evaluated for nasal toxicity studies which assure its safety to nasal mucosal membrane. The <i>in-vivo</i> brain biodistribution study showed the Mirtazapine cubosomal in situ gel achieved higher brain concentrations compared to the oral suspension. The cubosomal in-situ gel of Mirtazapine seems to be a promising and safe approach for treatment of depression.
DOI: 10.6084/m9.figshare.28605217.v1
title: Formulation and characterization of Mirtazapine loaded mucoadhesive cubosomal in-situ gel for intranasal delivery

description: The goal of the present investigation was to formulate and characterize the Cubosomal in-situ gel of Mirtazapine for intranasal delivery. The cubosomal preparation ensures higher entrapment of drug and delivery through intranasal route improves brain targeting of drug by avoiding the Blood Brain Barrier. Cubosomes were prepared by bottom-up approach & Central Composite Design was used for optimization. In-situ thermosensitive gel was formulated by cold method and optimization was done based on gelation temperature and time. The optimized cubosomal formulation was evaluated for various parameters like vesicular size, entrapment efficiency, TEM analysis, in-vitro drug release and ex-vivo permeation study. The cubosomal in-situ gel was evaluated for gelling time, temperature, mucoadhesive and gelling strength. The optimized formulation exhibited 90.33% drug release which confirms that it exhibited superior drug release characteristic as compared to pure drug suspension. The optimized formulation was evaluated for nasal toxicity studies which assure its safety to nasal mucosal membrane. The <i>in-vivo</i> brain biodistribution study showed the Mirtazapine cubosomal in situ gel achieved higher brain concentrations compared to the oral suspension. The cubosomal in-situ gel of Mirtazapine seems to be a promising and safe approach for treatment of depression.
DOI: 10.15468/dl.e8sbvx
title: Occurrence Download

description: A dataset containing 63 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Gaya calyptrata"
 ]
}

 The dataset includes 63 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003429-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nffw9w
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((99.839 2.769176, 99.76865599999999 2.763607, 99.700045 2.747038, 99.63486 2.719876, 99.57470600000001 2.682792, 99.52106499999999 2.636699, 99.475258 2.582734, 99.438413 2.522225, 99.41143599999999 2.456664, 99.394989 2.387665, 99.389477 2.316928, 99.395033 2.246195, 99.41152 2.177206, 99.43852800000001 2.11166, 99.47539399999999 2.051171, 99.521207 1.997227, 99.57484100000001 1.951157, 99.634975 1.914092, 99.700129 1.886946, 99.7687 1.870387, 99.839 1.864821, 99.9093 1.870387, 99.97787099999999 1.886946, 100.043025 1.914092, 100.103159 1.951157, 100.156793 1.997227, 100.202606 2.051171, 100.239472 2.11166, 100.26648 2.177206, 100.282967 2.246195, 100.288523 2.316928, 100.283011 2.387665, 100.266564 2.456664, 100.239587 2.522225, 100.202742 2.582734, 100.156935 2.636699, 100.103294 2.682792, 100.04314 2.719876, 99.97795499999999 2.747038, 99.909344 2.763607, 99.839 2.769176))"},{"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 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003428-260120142942310/datasets/export for details.
DOI: 10.6084/m9.figshare.28458443
title: A quantitative weight-of-evidence review of preclinical studies examining the potential developmental and reproductive toxicity of acetaminophen

description: We previously developed a quantitative weight-of-evidence (QWoE) framework using prespecified scoring criteria for preclinical acetaminophen data to characterize potential developmental neurotoxicity outcomes with considerations for biological relevance of the response to adverse outcomes and the strength of methods and study design. The current analysis uses this framework to characterize potential developmental and reproductive toxicity (DART) outcomes following exposure to acetaminophen. Two-hundred forty-two QWoE entries were documented from <i>in vivo</i> rodent studies identified in 110 publications across five categories: DART endpoints in the context of (1) periadolescent/adulthood (nonpregnancy) exposures; (2) pregnant female exposures; and, for <i>in utero</i> or other developmental exposures, (3) anatomical abnormalities, (4) reproductive development, and (5) other physical development. A mean outcome score and methods score were calculated for 242 QWoE entries. Data analyzed in our framework were of moderate quality showing no consistent evidence of DART in male and female rodents following exposure to acetaminophen at therapeutic and/or non-systemically toxic doses. Similar results were found for the individual context- and outcome-related endpoint analyses and as segregated by sex. Overall, this QWoE analysis on the <i>in vivo</i> rodent data demonstrated no consistent evidence of adverse effects following exposure to therapeutic and/or non-systemically toxic acetaminophen on development or on the structure and function of the reproductive system.
DOI: 10.6084/m9.figshare.28458443.v1
title: A quantitative weight-of-evidence review of preclinical studies examining the potential developmental and reproductive toxicity of acetaminophen

description: We previously developed a quantitative weight-of-evidence (QWoE) framework using prespecified scoring criteria for preclinical acetaminophen data to characterize potential developmental neurotoxicity outcomes with considerations for biological relevance of the response to adverse outcomes and the strength of methods and study design. The current analysis uses this framework to characterize potential developmental and reproductive toxicity (DART) outcomes following exposure to acetaminophen. Two-hundred forty-two QWoE entries were documented from <i>in vivo</i> rodent studies identified in 110 publications across five categories: DART endpoints in the context of (1) periadolescent/adulthood (nonpregnancy) exposures; (2) pregnant female exposures; and, for <i>in utero</i> or other developmental exposures, (3) anatomical abnormalities, (4) reproductive development, and (5) other physical development. A mean outcome score and methods score were calculated for 242 QWoE entries. Data analyzed in our framework were of moderate quality showing no consistent evidence of DART in male and female rodents following exposure to acetaminophen at therapeutic and/or non-systemically toxic doses. Similar results were found for the individual context- and outcome-related endpoint analyses and as segregated by sex. Overall, this QWoE analysis on the <i>in vivo</i> rodent data demonstrated no consistent evidence of adverse effects following exposure to therapeutic and/or non-systemically toxic acetaminophen on development or on the structure and function of the reproductive system.