cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7262581
title: Amos: A large-scale abdominal multi-organ benchmark for versatile medical image segmentation

description: Despite the considerable progress in automatic abdominal multi-organ segmentation from CT/MRI scans in recent years, a comprehensive evaluation of the models' capabilities is hampered by the lack of a large-scale benchmark from diverse clinical scenarios. Constraint by the high cost of collecting and labeling 3D medical data, most of the deep learning models to date are driven by datasets with a limited number of organs of interest or samples, which still limits the power of modern deep models and makes it difficult to provide a fully comprehensive and fair estimate of various methods. To mitigate the limitations, we present AMOS, a large-scale, diverse, clinical dataset for abdominal organ segmentation. AMOS provides 500 CT and 100 MRI scans collected from multi-center, multi-vendor, multi-modality, multi-phase, multi-disease patients, each with voxel-level annotations of 15 abdominal organs, providing challenging examples and test-bed for studying robust segmentation algorithms under diverse targets and scenarios. We further benchmark several state-of-the-art medical segmentation models to evaluate the status of the existing methods on this new challenging dataset. We have made our datasets, benchmark servers, and baselines publicly available, and hope to inspire future research. The paper can be found at https://arxiv.org/pdf/2206.08023.pdf


In addition to providing the labeled 600 CT and MRI scans, we expect to provide 2000 CT and 1200 MRI scans without labels to support more learning tasks (semi-supervised, un-supervised, domain adaption, ...). The link can be found in:



	
labeled data (500CT+100MRI)
	
unlabeled data Part I (900CT)
	
unlabeled data Part II (1100CT) (Now there are 1000CT, we will replenish to 1100CT)
	
unlabeled data Part III (1200MRI)



if you found this dataset useful for your research, please cite:




@inproceedings{NEURIPS2022_ee604e1b,
 author = {Ji, Yuanfeng and Bai, Haotian and GE, Chongjian and Yang, Jie and Zhu, Ye and Zhang, Ruimao and Li, Zhen and Zhanng, Lingyan and Ma, Wanling and Wan, Xiang and Luo, Ping},
 booktitle = {Advances in Neural Information Processing Systems},
 editor = {S. Koyejo and S. Mohamed and A. Agarwal and D. Belgrave and K. Cho and A. Oh},
 pages = {36722--36732},
 publisher = {Curran Associates, Inc.},
 title = {AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation},
 url = {https://proceedings.neurips.cc/paper_files/paper/2022/file/ee604e1bedbd069d9fc9328b7b9584be-Paper-Datasets_and_Benchmarks.pdf},
 volume = {35},
 year = {2022}
}
DOI: 10.15468/dl.nquhxv
title: Occurrence Download

description: A dataset containing 56966 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.datasetkey = 'fa375330-6c8a-11de-8226-b8a03c50a862'
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year"

 The dataset's 56966 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001154-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5b9kjq
title: Occurrence Download

description: A dataset containing 5781 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Rudbeckia fulgida)"
 ]
}

 The dataset includes 5781 records from 119 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001157-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.66tqcw
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Merremia mosaic Puerto Rico virus"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001158-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zkdcpn
title: Occurrence Download

description: A dataset containing 75 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Rudbeckia fulgida speciosa)"
 ]
}

 The dataset includes 75 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001159-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vawst8
title: Occurrence Download

description: A dataset containing 94 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Rudbeckia fulgida sullivantii)"
 ]
}

 The dataset includes 94 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001160-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17449909
title: The Developing Traits of Manipulation in a Digital World

description: This paper presents an original framework exploring how manipulative and adaptive traits develop, evolve, and manifest within the digital age. It proposes that manipulation is a core survival trait within human evolution, rather than an anomaly. Modern environments — particularly online spaces — accelerate the visibility and adaptability of these traits.

 

The work introduces the Environmental-Stability Model of Behaviour (ESMB), which explains how individuals adapt to rapidly changing environments through control, grandiosity, and ego-preserving mechanisms. Manipulative traits are described as existing on a spectrum from overt control to covert influence, shaped by environmental stability, personal boundaries, and self-control.

 

The paper argues that digital ecosystems have created new behavioural clusters, where manipulative personalities evolve faster through online validation and social reinforcement. Traditional safeguarding and psychological models fail to capture this due to their focus on static datasets rather than live behavioural adaptation.

 

Observations also identify the use of “masks” as ego-defence mechanisms, formed during early experiences and sustained throughout life to maintain control and protect the fragile inner ego. When challenged, the mask—not the true self—reacts, explaining the volatility and inconsistency often seen in manipulative behaviour.

 

Drawing from over four decades of real-world observation, this research rejects clinical reductionism and instead adopts an ecological, real-time perspective of human behaviour. It advocates for dynamic analysis tools that evolve alongside modern communication systems and proposes early-warning frameworks to identify manipulative risk clusters.

 

All theories, data interpretations, and methodologies were conceived independently by James Dunn, with ChatGPT used solely for structural, grammatical, and analytical refinement.

 

📚 Keywords

 

Manipulation, Behavioural Adaptation, Environmental Stability, Human Ecology, Narcissistic Traits, Control Dynamics, Mask Theory, Safeguarding, Digital Behaviour, Grandiosity

 

📜 Licence

 

© 2025 James Dunn | Environmental Intelligence Solutions – Research & Consulting

All rights reserved. Permission granted for academic citation and non-commercial use only.

Commercial use, reproduction, or adaptation prohibited without written consent.
DOI: 10.5281/zenodo.17449910
title: The Developing Traits of Manipulation in a Digital World

description: This paper presents an original framework exploring how manipulative and adaptive traits develop, evolve, and manifest within the digital age. It proposes that manipulation is a core survival trait within human evolution, rather than an anomaly. Modern environments — particularly online spaces — accelerate the visibility and adaptability of these traits.

 

The work introduces the Environmental-Stability Model of Behaviour (ESMB), which explains how individuals adapt to rapidly changing environments through control, grandiosity, and ego-preserving mechanisms. Manipulative traits are described as existing on a spectrum from overt control to covert influence, shaped by environmental stability, personal boundaries, and self-control.

 

The paper argues that digital ecosystems have created new behavioural clusters, where manipulative personalities evolve faster through online validation and social reinforcement. Traditional safeguarding and psychological models fail to capture this due to their focus on static datasets rather than live behavioural adaptation.

 

Observations also identify the use of “masks” as ego-defence mechanisms, formed during early experiences and sustained throughout life to maintain control and protect the fragile inner ego. When challenged, the mask—not the true self—reacts, explaining the volatility and inconsistency often seen in manipulative behaviour.

 

Drawing from over four decades of real-world observation, this research rejects clinical reductionism and instead adopts an ecological, real-time perspective of human behaviour. It advocates for dynamic analysis tools that evolve alongside modern communication systems and proposes early-warning frameworks to identify manipulative risk clusters.

 

All theories, data interpretations, and methodologies were conceived independently by James Dunn, with ChatGPT used solely for structural, grammatical, and analytical refinement.

 

📚 Keywords

 

Manipulation, Behavioural Adaptation, Environmental Stability, Human Ecology, Narcissistic Traits, Control Dynamics, Mask Theory, Safeguarding, Digital Behaviour, Grandiosity

 

📜 Licence

 

© 2025 James Dunn | Environmental Intelligence Solutions – Research & Consulting

All rights reserved. Permission granted for academic citation and non-commercial use only.

Commercial use, reproduction, or adaptation prohibited without written consent.
DOI: 10.15468/dl.89ranr
title: Occurrence Download

description: A dataset containing 613 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Rudbeckia maxima)"
 ]
}

 The dataset includes 613 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001162-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.psq53y
title: Occurrence Download

description: A dataset containing 1893 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Rudbeckia subtomentosa)"
 ]
}

 The dataset includes 1893 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001163-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34847/nkl.f3afa8e5
title: Interview with Charles Brown, conducted by Jérôme Gautié and Dorian Jullien on June 12th 2025. Oral Histories of Economics

description: Interview with Charles Brown, conducted by Jérôme Gautié and Dorian Jullien on June 12th 2025, for a research project on the history of "new minimum wage research". This interview is part of the collection "The Minimum Wage Debates in the 1990s U.S. and U.K." of the Oral Histories of Economics project (https://www.oralhistoriesofeconomics.org/). The set of data contains:
- the audio recording of the interview;
- the transcription of the interview (reviewed and edited by the interviewers and the interviewee)
DOI: 10.15468/dl.twmkhz
title: Occurrence Download

description: A dataset containing 892473 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is AntWeb"
 ]
}

 The dataset includes 892473 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001161-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4zjptx
title: Occurrence Download

description: A dataset containing 11942 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Rudbeckia triloba)"
 ]
}

 The dataset includes 11942 records from 133 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001164-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17449930
title: Supplementary Data for Lorincz-Comi et al. (2025) Nature Communications
DOI: 10.15468/dl.32fq56
title: Occurrence Download

description: A dataset containing 1858 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Saccharum officinarum)"
 ]
}

 The dataset includes 1858 records from 225 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001167-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17449948
title: Tether Stiffness Index

description: Rotating strings and tethers exhibit directional stiffening due to angular momentum conservation and distributed mass effects. Historically studied in rotor/whip dynamics and gyrodynamics, this phenomenon can be repurposed to guide delicate filaments through cluttered or sterile spaces where conventional tooling is intrusive or infeasible. GFTD leverages modern materials (CNT composites, polymer waveguides) and high-bandwidth motor control to transform an accessible physics principle into a precision deployment utility. This paper consolidates the theory, design, verification, and governance required for ethical, safe, and reproducible operation.
DOI: 10.5281/zenodo.17449947
title: Tether Stiffness Index

description: Rotating strings and tethers exhibit directional stiffening due to angular momentum conservation and distributed mass effects. Historically studied in rotor/whip dynamics and gyrodynamics, this phenomenon can be repurposed to guide delicate filaments through cluttered or sterile spaces where conventional tooling is intrusive or infeasible. GFTD leverages modern materials (CNT composites, polymer waveguides) and high-bandwidth motor control to transform an accessible physics principle into a precision deployment utility. This paper consolidates the theory, design, verification, and governance required for ethical, safe, and reproducible operation.
DOI: 10.15468/dl.4pwf3x
title: Occurrence Download

description: A dataset containing 1682 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Vernonia fasciculata)"
 ]
}

 The dataset includes 1682 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001172-251025141854904/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.27061267
title: Ramazzottius claudii draft genome assembly

description: Data associated with<b> Vecchi & Stec.</b><b>Mitogenome of a new </b><b><i>Ramazzottius</i></b><b> species (Tardigrada: Eutardigrada: Ramazzottiidae) discovered in rock pools along with its Temperature and Desiccation-Related Proteins repertoire</b>.<br>Draft assembly of <i>Ramazzottius claudii </i>genome obtained of sequencing after WGA (REPLI-g Mini Kit Cat. No. 150023, Qiagen) and debranching with T7 Endonuclease I (Cat. No. M0302, New England Biolabs). Sequencing was performed on a Nanopore MinION with a R10 chemistry flowcell using fast basecalling. Assembly has been done with Flye v 2.9.3 and polished with medaka v 1.11.3 (-m r1041_e82_400bps_fast_g615).Library prep for Nanopore sequencing was done with Native Barcoding Kit 24 V14 (SQK-NBD114.24) using Native Barcode 01 NB01 (in the same flowcells samples with NB02 and NB03 were also run). NB sequences are reported below.<br>This draft genome should be used with caution as it may still contain contaminant sequences. The raw reads can be found in NCBI under BioProject PRJNA1082523, accession number SRR28173874.<br><br>NB01 F CACAAAGACACCGACAACTTTCTTNB01 R AAGAAAGTTGTCGGTGTCTTTGTGNB02 F ACAGACGACTACAAACGGAATCGANB02 R TCGATTCCGTTTGTAGTCGTCTGTNB03 F CCTGGTAACTGGGACACAAGACTCNB03 R GAGTCTTGTGTCCCAGTTACCAGG
DOI: 10.6084/m9.figshare.27061267.v1
title: Ramazzottius claudii draft genome assembly

description: Data associated with<b> Vecchi & Stec.</b><b>Mitogenome of a new </b><b><i>Ramazzottius</i></b><b> species (Tardigrada: Eutardigrada: Ramazzottiidae) discovered in rock pools along with its Temperature and Desiccation-Related Proteins repertoire</b>.<br>Draft assembly of <i>Ramazzottius claudii </i>genome obtained of sequencing after WGA (REPLI-g Mini Kit Cat. No. 150023, Qiagen) and debranching with T7 Endonuclease I (Cat. No. M0302, New England Biolabs). Sequencing was performed on a Nanopore MinION with a R10 chemistry flowcell using fast basecalling. Assembly has been done with Flye v 2.9.3 and polished with medaka v 1.11.3 (-m r1041_e82_400bps_fast_g615).Library prep for Nanopore sequencing was done with Native Barcoding Kit 24 V14 (SQK-NBD114.24) using Native Barcode 01 NB01 (in the same flowcells samples with NB02 and NB03 were also run). NB sequences are reported below.<br>This draft genome should be used with caution as it may still contain contaminant sequences. The raw reads can be found in NCBI under BioProject PRJNA1082523, accession number SRR28173874.<br><br>NB01 F CACAAAGACACCGACAACTTTCTTNB01 R AAGAAAGTTGTCGGTGTCTTTGTGNB02 F ACAGACGACTACAAACGGAATCGANB02 R TCGATTCCGTTTGTAGTCGTCTGTNB03 F CCTGGTAACTGGGACACAAGACTCNB03 R GAGTCTTGTGTCCCAGTTACCAGG
DOI: 10.5281/zenodo.17449659
title: Dataset - Feeding rates in sessile versus motile ciliates are hydrodynamically equivalent
DOI: 10.5281/zenodo.17449658
title: Dataset - Feeding rates in sessile versus motile ciliates are hydrodynamically equivalent
DOI: 10.15468/dl.j7d3rn
title: Occurrence Download

description: A dataset containing 4690 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Vernonia noveboracensis)"
 ]
}

 The dataset includes 4690 records from 88 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001174-251025141854904/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.29558357
title: Sorting datasets

description: There are four types of datasets based on their sorting: sorted, nearly sorted, reversed, and random. The dataset contains 10 million integers with a wide range from 1 to 9,999,999.
DOI: 10.6084/m9.figshare.29558357.v2
title: Sorting datasets

description: There are four types of datasets based on their sorting: sorted, nearly sorted, reversed, and random. The dataset contains 10 million integers with a wide range from 1 to 9,999,999.
DOI: 10.6084/m9.figshare.29558357.v1
title: Sorting datasets

description: There are four types of datasets based on their sorting: sorted, nearly sorted, reversed, and random.
DOI: 10.6084/m9.figshare.30317542
title: <b>Improving Medical Students' Research Skills: A Study on Confidence and Performance Through In-Course Assessments</b>

description: The project contains the following underlying data:<b>Rawdata.xlsx </b>(anonymised Likert score data collected using surveys described below, with anonymised non-identifiable formative and summative scores of participants, and student tutorial engagement assessments throughout each ICA module)<b>Extended data:</b><b>Survey 1.</b> Survey on confidence interval at the end of block 1. This is an anonymised survey containing questions (1-3) on students’ pre- and post-session confidence rating (CR), a self-assessed Likert score from 1 to 10 of students’ confidence levels in writing an editorial before and after workshops and after small-group tutorials. Open questions allow students to offer feedback to the block (4-5).<b>Survey 2.</b> Survey on confidence interval at the end of block 2. This is an anonymised survey containing questions (1-6) on students’ pre- and post-session confidence rating (CR), a self-assessed Likert score from 1 to 10 of students’ confidence levels in making a PowerPoint presentation and presenting a research article before and after workshops and after small-group tutorials. Open questions allow students to offer feedback to the block (7-8).<b>Survey 3.</b> Survey on confidence interval at the end of block 3. This is an anonymised survey containing questions (1-6) on students’ pre- and post-session confidence rating (CR), a self-assessed Likert score from 1 to 10 of students’ confidence levels in writing abstracts and data analysis before and after workshops and after small-group tutorials. Open questions allow students to offer feedback to the block (7-8).