cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17343842
title: A catalogue of megadrile earthworm (Crassiclitellata and Moniligastridae) species recorded from Central American countries

description: A review of the megadrile earthworm species belonging to Crassiclitellata and Moniligastridae was performed for the seven Central American countries: Guatemala, Belize, Honduras, El Salvador, Nicaragua, Costa Rica and Panama. The literature was reviewed, and all records of the species obtained, and the geographic coordinates were estimated for the sampling localities as best as possible, when not provided by the original authors.

A total of 95 species and subspecies (67 native and 28 exotic) belonging to 11 earthworm families (Acanthodrilidae, Almidae, Benhamiidae, Eudrilidae, Glossoscolecidae, Lumbricidae, Megascolecidae, Moniligastridae, Ocnerodrilidae, Rhinodrilidae and Sparganophilidae) were found in the region. Four families (Acanthodrilidae, Benhamiidae, Megascolecidae and Rhinodrilidae) were widely distributed, and exotic species were found in all countries, predominating in many disturbed land uses, with only one cosmopolitan invasive species (Pontoscolex corethrurus) being found in all countries. Most of the species encountered belonged to the Acanthodrilidae (21 native spp.), and Benhamiidae (16 native, 5 exotic spp.) families, followed by the Rhinodrilidae (10 native, one exotic spp.), and Ocnerodrilidae (8 native, two exotic spp.) families.

A large number (81) of species, particularly native ones (61) were found in only one or a few locations, confirming a high endemism rate (91%) already reported for native earthworms by other authors. Panama (33 spp.), Guatemala (31 spp.) and Costa Rica (29 spp.) stood out as the most biodiverse, while Nicaragua (20 spp.) showed a significant increase in species richness after recent sampling efforts. Despite some progress, recent years have been marked by stagnation in the description of new species, highlighting the lack of studies and taxonomic expertise. 

The current study was developed as part of the first author's Master's thesis in Ecology and Evolution at the Federal University of Maranhão (UFMA), in São Luís, MA, Brazil, under the supervision of Guillaume Rousseau. The paper associated with this datafile was submitted as a manuscript to the journal Zootaxa. 

The associated datasheet contains three tabs: 

Readme, with the associated manuscript information;

Legend, with the definition of the titles and abbreviations used for the columns in the main datasheet (Distribution); and 

Distribution, with the information on the family, species, authorities, sampling locations and dates, estimated geographic coordinated (latitude and longitude), the land use at the site, the origin of the species (if native or exotic), and the bibliographic citation of the reference reporting the species. 
description: This study was supported by a fellowship from CAPES to the first author (S. Sousa), and by CNPq fellowships to G.G. Brown (Process 441930/2020-4 and 312824/2022-0) and L.M. Hernández-García.
DOI: 10.5281/zenodo.17343843
title: A catalogue of megadrile earthworm (Crassiclitellata and Moniligastridae) species recorded from Central American countries

description: A review of the megadrile earthworm species belonging to Crassiclitellata and Moniligastridae was performed for the seven Central American countries: Guatemala, Belize, Honduras, El Salvador, Nicaragua, Costa Rica and Panama. The literature was reviewed, and all records of the species obtained, and the geographic coordinates were estimated for the sampling localities as best as possible, when not provided by the original authors.

A total of 95 species and subspecies (67 native and 28 exotic) belonging to 11 earthworm families (Acanthodrilidae, Almidae, Benhamiidae, Eudrilidae, Glossoscolecidae, Lumbricidae, Megascolecidae, Moniligastridae, Ocnerodrilidae, Rhinodrilidae and Sparganophilidae) were found in the region. Four families (Acanthodrilidae, Benhamiidae, Megascolecidae and Rhinodrilidae) were widely distributed, and exotic species were found in all countries, predominating in many disturbed land uses, with only one cosmopolitan invasive species (Pontoscolex corethrurus) being found in all countries. Most of the species encountered belonged to the Acanthodrilidae (21 native spp.), and Benhamiidae (16 native, 5 exotic spp.) families, followed by the Rhinodrilidae (10 native, one exotic spp.), and Ocnerodrilidae (8 native, two exotic spp.) families.

A large number (81) of species, particularly native ones (61) were found in only one or a few locations, confirming a high endemism rate (91%) already reported for native earthworms by other authors. Panama (33 spp.), Guatemala (31 spp.) and Costa Rica (29 spp.) stood out as the most biodiverse, while Nicaragua (20 spp.) showed a significant increase in species richness after recent sampling efforts. Despite some progress, recent years have been marked by stagnation in the description of new species, highlighting the lack of studies and taxonomic expertise. 

The current study was developed as part of the first author's Master's thesis in Ecology and Evolution at the Federal University of Maranhão (UFMA), in São Luís, MA, Brazil, under the supervision of Guillaume Rousseau. The paper associated with this datafile was submitted as a manuscript to the journal Zootaxa. 

The associated datasheet contains three tabs: 

Readme, with the associated manuscript information;

Legend, with the definition of the titles and abbreviations used for the columns in the main datasheet (Distribution); and 

Distribution, with the information on the family, species, authorities, sampling locations and dates, estimated geographic coordinated (latitude and longitude), the land use at the site, the origin of the species (if native or exotic), and the bibliographic citation of the reference reporting the species. 
description: This study was supported by a fellowship from CAPES to the first author (S. Sousa), and by CNPq fellowships to G.G. Brown (Process 441930/2020-4 and 312824/2022-0) and L.M. Hernández-García.
DOI: 10.17026/ar/pz6m77
title: PAN-00175372 - seal lead with connecting strip

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00175372&lt;/p&gt;
description: Modified: 2025-10-29T14:56:26+01:00
DOI: 10.15468/dl.w6f4a9
title: Occurrence Download

description: A dataset containing 6002 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-40.27174 -14.15712,-39.77468 -14.07324,-39.78317 -13.65811,-39.78317 -13.65621,-40.23664 -13.65621,-40.27174 -14.15712))",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 6002 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039282-251120083545085/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.30660974
title: Emotion, Identity & Creativity in the Age of AI (Dataset, n = 507)

description: This dataset is part of the Human Clarity Institute’s <b>AI–Human Experience 2025</b> data series. It examines how AI use shapes emotional experience, personal identity, and creative originality, including emotional shifts, identity alignment and authenticity, and changes in creativity, meaning-making, and cognitive depth.The dataset includes:<br>• validated 1–7 Likert-scale items<br>• measures of emotional influence, identity disruption or reinforcement, authenticity, originality, depth of thinking, and personal meaning<br>• indicators of cognitive alignment, internal conflict, self-evaluation, and reliance on AI tools for thought validation<br>• multi-select variables stored as canonical semicolon-delimited snake_case tokens <i>(none included in this dataset)</i><br>• open-text reflections with minimal safe cleaning (trim + newline removal only)<br>• demographic variables across six English-speaking countries<br>• AI-tool usage frequency and participation context variablesData were collected on 19 November 2025 via Prolific from adults in the UK, US, Australia, Canada, New Zealand, and Ireland.<br>All data were cleaned, anonymised, and processed under the Human Clarity Institute’s machine-readable dataset protocol, which includes:• canonical snake_case variable naming<br>• validated numeric ranges<br>• standardised categorical formats<br>• minimal safe text cleaning<br>• full alignment with the accompanying data dictionary<br>• removal of Prolific IDs and timestamps<br>• SHA-256 checksums for all filesThis dataset contributes to understanding how AI interacts with human emotions, identity, creativity, and meaning-making, supporting longitudinal tracking of human autonomy, psychological wellbeing, and the evolving inner experience of AI use as part of daily life.
DOI: 10.6084/m9.figshare.30660974.v3
title: Emotion, Identity & Creativity in the Age of AI (Dataset, n = 507)

description: This dataset is part of the Human Clarity Institute’s <b>AI–Human Experience 2025</b> data series. It examines how AI use shapes emotional experience, personal identity, and creative originality, including emotional shifts, identity alignment and authenticity, and changes in creativity, meaning-making, and cognitive depth.The dataset includes:<br>• validated 1–7 Likert-scale items<br>• measures of emotional influence, identity disruption or reinforcement, authenticity, originality, depth of thinking, and personal meaning<br>• indicators of cognitive alignment, internal conflict, self-evaluation, and reliance on AI tools for thought validation<br>• multi-select variables stored as canonical semicolon-delimited snake_case tokens <i>(none included in this dataset)</i><br>• open-text reflections with minimal safe cleaning (trim + newline removal only)<br>• demographic variables across six English-speaking countries<br>• AI-tool usage frequency and participation context variablesData were collected on 19 November 2025 via Prolific from adults in the UK, US, Australia, Canada, New Zealand, and Ireland.<br>All data were cleaned, anonymised, and processed under the Human Clarity Institute’s machine-readable dataset protocol, which includes:• canonical snake_case variable naming<br>• validated numeric ranges<br>• standardised categorical formats<br>• minimal safe text cleaning<br>• full alignment with the accompanying data dictionary<br>• removal of Prolific IDs and timestamps<br>• SHA-256 checksums for all filesThis dataset contributes to understanding how AI interacts with human emotions, identity, creativity, and meaning-making, supporting longitudinal tracking of human autonomy, psychological wellbeing, and the evolving inner experience of AI use as part of daily life.
DOI: 10.6084/m9.figshare.30660974.v2
title: Emotion, Identity & Creativity in the Age of AI 2025 (Dataset)

description: This dataset is part of the Human Clarity Institute’s AI–Human Experience Data Series. It measures how adults experience emotional shifts, identity change, creative confidence, and the psychological influence of AI tools in daily life.The dataset includes validated 1–7 Likert-scale items, emotional amplification and emotional fatigue indicators, measures of identity perception and self-concept change, and metrics related to creativity, AI-assisted creative behaviour, and creative confidence. Open-text reflections capture how people describe the emotional and psychological role of AI in their thinking, expression, and daily experiences. Demographic variables are included across six English-speaking countries.Data were collected via Prolific in 2025 from adults in the UK, US, Canada, Australia, New Zealand, and Ireland. All data were cleaned, anonymised, and verified according to the Human Clarity Institute’s open-data publication protocol.This dataset contributes to understanding how AI-driven environments influence emotional states, personal identity, and creative behaviour, providing foundational data for longitudinal tracking of emotional and psychological effects in the AI era.
DOI: 10.15468/dl.vk4vdq
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((99.47499999999999 0.681184, 99.404732 0.675617, 99.336195 0.659052, 99.27107599999999 0.631897, 99.21097899999999 0.594821, 99.157385 0.5487379999999999, 99.11161199999999 0.494781, 99.074787 0.43428, 99.04781699999999 0.368725, 99.03136600000001 0.29973, 99.025839 0.228993, 99.03137099999999 0.158257, 99.047826 0.08926199999999999, 99.074798 0.023708, 99.111625 -0.03679, 99.157399 -0.09074500000000001, 99.210993 -0.136826, 99.27108699999999 -0.1739, 99.336203 -0.201053, 99.404736 -0.217618, 99.47499999999999 -0.223185, 99.545264 -0.217618, 99.61379700000001 -0.201053, 99.67891299999999 -0.1739, 99.739007 -0.136826, 99.792601 -0.09074500000000001, 99.838375 -0.03679, 99.875202 0.023708, 99.902174 0.08926199999999999, 99.918629 0.158257, 99.924161 0.228993, 99.918634 0.29973, 99.90218299999999 0.368725, 99.875213 0.43428, 99.83838799999999 0.494781, 99.792615 0.5487379999999999, 99.73902099999999 0.594821, 99.67892399999999 0.631897, 99.613805 0.659052, 99.54526799999999 0.675617, 99.47499999999999 0.681184))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039283-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cdcwc9
title: Occurrence Download

description: A dataset containing 3333 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Scolelepis tridentata",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3333 records from 97 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039284-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17429717
title: PepQueryMHC: Rapid and Comprehensive Tumor Antigen Prioritization from Immunopeptidomics Data

description: Data Description



LUAD_MHC_I_GTEX.tsv: RNA-seq expression of selected class I tumor antigens from a published lung adenocarcinoma immunopeptidomics study (Abelin, J. G. et al., Gillette, M. A. et al., Lonsdale, J. et al.).

LUAD_MHC_II_GTEX.tsv: RNA-seq expression of selected class II tumor antigens from a published lung adenocarcinoma immunopeptidomics study (Abelin, J. G. et al., Gillette, M. A. et al., Lonsdale, J. et al.).

MSK_LUAD_Primary_seurat_object.rds: Seurat object containing the single-cell RNA-seq dataset of eight primary lung adenocarcinoma samples (processed) (Laughney, A. M. et al.).

PepQueryMHC_top10p_result.tsv: Top 10% most abundant peptides expressed in the eight primary lung adenocarcinoma single-cell RNA-seq samples (Laughney, A. M. et al.).

PepQueryMHC.v1.0.5.jar and source code
DOI: 10.5281/zenodo.14984542
title: PepQueryMHC: Rapid and Comprehensive Tumor Antigen Prioritization from Immunopeptidomics Data

description: Data Description



LUAD_MHC_I_GTEX.tsv: RNA-seq expression of selected class I tumor antigens from a published lung adenocarcinoma immunopeptidomics study (Abelin, J. G. et al., Gillette, M. A. et al., Lonsdale, J. et al.).

LUAD_MHC_II_GTEX.tsv: RNA-seq expression of selected class II tumor antigens from a published lung adenocarcinoma immunopeptidomics study (Abelin, J. G. et al., Gillette, M. A. et al., Lonsdale, J. et al.).

MSK_LUAD_Primary_seurat_object.rds: Seurat object containing the single-cell RNA-seq dataset of eight primary lung adenocarcinoma samples (processed) (Laughney, A. M. et al.).

PepQueryMHC_top10p_result.tsv: Top 10% most abundant peptides expressed in the eight primary lung adenocarcinoma single-cell RNA-seq samples (Laughney, A. M. et al.).

PepQueryMHC.v1.0.5.jar and source code
DOI: 10.5286/isis.e.rb2510383-1
title: Influence of cholesterol content on the detailed internal structure of LNPs

description: There has been a shift in the pharma industry towards development of medicines acting within the cell, typically in the cytosol, thereby creating demand for advanced delivery vehicles, including lipid nanoparticles (LNPs) that deliver their payload intracellularly. Generally, these vehicles are taken into the cell's endosome via a process known as endocytosis. In order for the therapeutic agent to exert its effect, the vehicle (and its payload) must escape the endosome. Currently only 2% of vehicles are released into the cytosol. This study wishes to determine the effect of the concentration of cholesterol on the detailed internal structure of LNPs using small angle neutron scattering in combination with contrast variation in order to determine how much cholesterol is required for LNP production and in this way develop improved delivery LNPs.
DOI: 10.5286/isis.e.rb2510383
title: Influence of cholesterol content on the detailed internal structure of LNPs

description: There has been a shift in the pharma industry towards development of medicines acting within the cell, typically in the cytosol, thereby creating demand for advanced delivery vehicles, including lipid nanoparticles (LNPs) that deliver their payload intracellularly. Generally, these vehicles are taken into the cell's endosome via a process known as endocytosis. In order for the therapeutic agent to exert its effect, the vehicle (and its payload) must escape the endosome. Currently only 2% of vehicles are released into the cytosol. This study wishes to determine the effect of the concentration of cholesterol on the detailed internal structure of LNPs using small angle neutron scattering in combination with contrast variation in order to determine how much cholesterol is required for LNP production and in this way develop improved delivery LNPs.
DOI: 10.5286/isis.e.rb2520094-1
title: Structural insight into hydrogen adsorption mechanism in a Zr-based MOF using neutron powder diffraction

description: Hydrogen gas (H₂) plays an increasingly crucial role in the global transition toward sustainable energy, serving as a clean, efficient, and versatile energy carrier. When used as fuel, hydrogen produces only water as a byproduct. This makes hydrogen an attractive option for powering vehicles, generating electricity, and providing heat, all without carbon emissions. Metal-organic frameworks (MOFs), composed of metal ions or clusters connected by organic linkers, have demonstrated great promise in advancing H2 storage technology. Several MOFs with high gravimetric hydrogen storage capacities have been discovered, such as MOF-177 (11 wt.%, 77K, 70 bar) and NU-100 (16.4 wt.%, 77k, 70 bar). However, as research progressed, our group and others began to recognise the comparative importance of volumetric capacity, and it became clear that a trade-off exists between volumetric and gravimetric H2 storage. Various strategies have been developed to address this challenge, including densifying MOFs into monolithic forms and designing new high-density MOFs
DOI: 10.5286/isis.e.rb2520094
title: Structural insight into hydrogen adsorption mechanism in a Zr-based MOF using neutron powder diffraction

description: Hydrogen gas (H₂) plays an increasingly crucial role in the global transition toward sustainable energy, serving as a clean, efficient, and versatile energy carrier. When used as fuel, hydrogen produces only water as a byproduct. This makes hydrogen an attractive option for powering vehicles, generating electricity, and providing heat, all without carbon emissions. Metal-organic frameworks (MOFs), composed of metal ions or clusters connected by organic linkers, have demonstrated great promise in advancing H2 storage technology. Several MOFs with high gravimetric hydrogen storage capacities have been discovered, such as MOF-177 (11 wt.%, 77K, 70 bar) and NU-100 (16.4 wt.%, 77k, 70 bar). However, as research progressed, our group and others began to recognise the comparative importance of volumetric capacity, and it became clear that a trade-off exists between volumetric and gravimetric H2 storage. Various strategies have been developed to address this challenge, including densifying MOFs into monolithic forms and designing new high-density MOFs
DOI: 10.5286/isis.e.rb2520216-1
title: Magnetic structure of Rare Earth Francisites [Cu3 RE(SeO3)2O2Cl] {RE: La, Nd, Dy}

description: Mineral francisite (BiCufr) is fascinating due to degenerate ground states and presence of competing ferromagnetic (FM) intralayer and antiferromagnetic (AFM) interlayer exchanges. Magnetic ground state of two oppositely directed neighboring FM layers can be flipped into same direction by magnetic field and is called metamagnetic transition (MMT). Rare earth (RE) based francisites (RECufr) are synthetic analogues of mineral francisites and developed when Bi is replaced by RE. The RE francisites are curious due to 3d(Cu)-4f(RE) interaction and manifestation occurs in the form of spin reorientation transition (SRT). We got nice results regarding magnetic properties of pristine La, Nd and Dy francisites. They show strong to weak MMTs and SRTs along with nice interplay of FM and AFM interactions. The magnetic structure of BiCufr was determined from neutron diffraction. In this proposed study we want to examine magnetic structures of La, Dy, Nd francisites (LaCufr, DyCufr, NdCufr). Our aim is to find the very different magnetic structure of these proposed compounds using required magnetic structural information of BiCufr, which can solve unanswered questions arising from additional magnetic complexities due to magnetic RE incorporation at non-magnetic Bi site.
DOI: 10.5286/isis.e.rb2520216
title: Magnetic structure of Rare Earth Francisites [Cu3 RE(SeO3)2O2Cl] {RE: La, Nd, Dy}

description: Mineral francisite (BiCufr) is fascinating due to degenerate ground states and presence of competing ferromagnetic (FM) intralayer and antiferromagnetic (AFM) interlayer exchanges. Magnetic ground state of two oppositely directed neighboring FM layers can be flipped into same direction by magnetic field and is called metamagnetic transition (MMT). Rare earth (RE) based francisites (RECufr) are synthetic analogues of mineral francisites and developed when Bi is replaced by RE. The RE francisites are curious due to 3d(Cu)-4f(RE) interaction and manifestation occurs in the form of spin reorientation transition (SRT). We got nice results regarding magnetic properties of pristine La, Nd and Dy francisites. They show strong to weak MMTs and SRTs along with nice interplay of FM and AFM interactions. The magnetic structure of BiCufr was determined from neutron diffraction. In this proposed study we want to examine magnetic structures of La, Dy, Nd francisites (LaCufr, DyCufr, NdCufr). Our aim is to find the very different magnetic structure of these proposed compounds using required magnetic structural information of BiCufr, which can solve unanswered questions arising from additional magnetic complexities due to magnetic RE incorporation at non-magnetic Bi site.