cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.3ad7pv
title: Occurrence Download

description: A dataset containing 111 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Anabasis truncata"
 ]
}

 The dataset includes 111 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002211-260208012135463/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.30580667
title: A comprehensive ruminant microbial catalog (CRMC) reveals convergent selection for key vitamin-synthesizing pathways and genes across ruminants and human

description: strain_rename_2.tar.gz: CRMC strain level part 2species_rename.tar.gz: CRMC species levelsheep_rename.tar.gz: CRMC-sheep strain level
DOI: 10.6084/m9.figshare.30580667.v2
title: A comprehensive ruminant microbial catalog (CRMC) reveals convergent selection for key vitamin-synthesizing pathways and genes across ruminants and human

description: strain_rename_2.tar.gz: CRMC strain level part 2species_rename.tar.gz: CRMC species levelsheep_rename.tar.gz: CRMC-sheep strain level
DOI: 10.6084/m9.figshare.30580667.v1
title: A comprehensive ruminant microbial catalog (CRMC) reveals convergent selection for key vitamin-synthesizing pathways and genes across ruminants and human

description: strain_rename_2.tar.gz: CRMC strain level part 2species_rename.tar.gz: CRMC species levelsheep_rename.tar.gz: CRMC-sheep strain level
DOI: 10.5281/zenodo.18536221
title: SuperDARN data in netCDF format (2021-Apr)

description: 2021-Apr SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.7617771
title: SuperDARN data in netCDF format (2021-Apr)

description: 2021-Apr SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.6084/m9.figshare.30580790.v1
title: Untitled IA comprehensive ruminant microbial catalog (CRMC) reveals convergent selection for key vitamin-synthesizing pathways and genes across ruminants and human

description: buffalo_rename.tar.gz: CRMC-buffalo strain levelcattle_rename.tar.gz: CRMC-cattle strain levelgoat_rename.tar.gz: CRMC-goat strain levelyak_rename.tar.gz: CRMC-yak strain levelmoose_rename.tar.gz: CRMC-moose strain levelwater_deer_rename.tar.gz: CRMC-water deer strain levelroe_deer_rename.tar.gz: CRMC-roe deer
DOI: 10.15468/dl.v262az
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Quedara basiflava"
 ]
}

 The dataset includes 26 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002212-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18537531
title: PubChemLite for Exposomics + predicted CCS from CCSbase - 30 Jan. 2026

description: PubChemLite is a subset of PubChem (https://pubchem.ncbi.nlm.nih.gov/) selected from major categories of the Table of Contents page at the PubChem Classification Browser (https://pubchem.ncbi.nlm.nih.gov/classification/#hid=72). This version of PubChemLite for Exposomics has predicted collision cross section (CCS) values for 11 adducts provided by Libin Xu and team at CCSbase (https://ccsbase.net/) calculated from the latest c3sdb code.

PubChemLite exposomics is compiled from 11 categories: AgroChemInfo, BioPathway, DrugMedicInfo, FoodRelated, PharmacoInfo, SafetyInfo, ToxicityInfo, KnownUse, DisorderDisease, Identification, ChemClass.

CCS adducts provided are: [M+H]+, [M-H]-, [M+Na]+, [M+K]+, [M+NH4]+, [M+H-H2O]+, [M+HCOO]-, [M+CH3COO]-, [M+Na-2H]-, [M]+, [M]-

Details on the CCS prediction are given here: Ross et al. (2020) Analytical Chemistry, DOI: 10.1021/acs.analchem.9b05772

PubChemLite is described in Schymanski et al. (2021) J. Cheminformatics, DOI: 10.1186/s13321-021-00489-0

An article describing these joint efforts is available: Elapavalore et al. (2025) ES&T Letters, DOI: 10.1021/acs.estlett.4c01003

PubChemCIDs have been collapsed by InChIKey first block, reporting the structure from the most annotated CID, plus related CIDs. Entries that will be ignored by MetFrag (salts, disconnected substances) or cause errors (e.g. transition metals) have been removed. The Patent and PubMed ID counts are extracted from files on the PubChem FTP site. The "AnnoTypeCount" term counts how many of the categories are represented, the subsequent column (named per category) counts the number of annotation categories available in the next sub-category of the TOC entry.

These files can be used "as is" as localCSV for MetFrag Command Line (https://ipb-halle.github.io/MetFrag/) - please do NOT upload these files directly to the web interface, they are too large and will be available in a drop-down menu.

Further details are described in Schymanski et al. (2021) DOI:10.1186/s13321-021-00489-0 and Elapavalore et al. (2025) DOI: 10.1021/acs.estlett.4c01003

NOTE: The latest PubChemLite for Exposomics version can be downloaded at DOI:10.5281/zenodo.5995885 (currently updating monthly). This file will be updated shortly after.  

Please cite this data source and Elapavalore et al. (2025) DOI: 10.1021/acs.estlett.4c01003 when using this dataset.
description: Please cite this data source, the CCSbase and PubChemLite papers when using this data! More details under DOI: 10.1021/acs.estlett.4c01003
DOI: 10.5281/zenodo.4081056
title: PubChemLite for Exposomics + predicted CCS from CCSbase - 30 Jan. 2026

description: PubChemLite is a subset of PubChem (https://pubchem.ncbi.nlm.nih.gov/) selected from major categories of the Table of Contents page at the PubChem Classification Browser (https://pubchem.ncbi.nlm.nih.gov/classification/#hid=72). This version of PubChemLite for Exposomics has predicted collision cross section (CCS) values for 11 adducts provided by Libin Xu and team at CCSbase (https://ccsbase.net/) calculated from the latest c3sdb code.

PubChemLite exposomics is compiled from 11 categories: AgroChemInfo, BioPathway, DrugMedicInfo, FoodRelated, PharmacoInfo, SafetyInfo, ToxicityInfo, KnownUse, DisorderDisease, Identification, ChemClass.

CCS adducts provided are: [M+H]+, [M-H]-, [M+Na]+, [M+K]+, [M+NH4]+, [M+H-H2O]+, [M+HCOO]-, [M+CH3COO]-, [M+Na-2H]-, [M]+, [M]-

Details on the CCS prediction are given here: Ross et al. (2020) Analytical Chemistry, DOI: 10.1021/acs.analchem.9b05772

PubChemLite is described in Schymanski et al. (2021) J. Cheminformatics, DOI: 10.1186/s13321-021-00489-0

An article describing these joint efforts is available: Elapavalore et al. (2025) ES&T Letters, DOI: 10.1021/acs.estlett.4c01003

PubChemCIDs have been collapsed by InChIKey first block, reporting the structure from the most annotated CID, plus related CIDs. Entries that will be ignored by MetFrag (salts, disconnected substances) or cause errors (e.g. transition metals) have been removed. The Patent and PubMed ID counts are extracted from files on the PubChem FTP site. The "AnnoTypeCount" term counts how many of the categories are represented, the subsequent column (named per category) counts the number of annotation categories available in the next sub-category of the TOC entry.

These files can be used "as is" as localCSV for MetFrag Command Line (https://ipb-halle.github.io/MetFrag/) - please do NOT upload these files directly to the web interface, they are too large and will be available in a drop-down menu.

Further details are described in Schymanski et al. (2021) DOI:10.1186/s13321-021-00489-0 and Elapavalore et al. (2025) DOI: 10.1021/acs.estlett.4c01003

NOTE: The latest PubChemLite for Exposomics version can be downloaded at DOI:10.5281/zenodo.5995885 (currently updating monthly). This file will be updated shortly after.  

Please cite this data source and Elapavalore et al. (2025) DOI: 10.1021/acs.estlett.4c01003 when using this dataset.
description: Please cite this data source, the CCSbase and PubChemLite papers when using this data! More details under DOI: 10.1021/acs.estlett.4c01003
DOI: 10.5281/zenodo.13713615
title: Behavioral and fMRI data

description: Behavioral and fMRI data (subject0~14)
DOI: 10.15468/dl.skec3h
title: Occurrence Download

description: A dataset containing 128 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aglais ladakensis"
 ]
}

 The dataset includes 128 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002215-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bx73wm
title: Occurrence Download

description: A dataset containing 2471 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Andropogon glomeratus"
 ]
}

 The dataset includes 2471 records from 184 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002216-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13715445
title: fMRI data

description: fMRI data (subject15~29)
DOI: 10.6084/m9.figshare.31292525
title: The perspectives of previous young adult psychiatric patients regarding mental health recovery and the influence of received psychiatric care - a qualitative 20-year follow-up study

description: Young adults (18–25 years) have the highest prevalence of psychiatric disorders of any age group. This qualitative study aims to gain perspectives on individual change and recovery, and the influence of psychiatric care, 20 years after being treated as young adults. Semi-structured interviews were conducted at 20-year follow-up with 18 participants from the original ‘Young Adult’ study in Uppsala, Sweden from 2002/2003. All interviews were audio-recorded and transcribed. The data were analysed using inductive thematic analysis. The analysis resulted in three themes: <i>Personal recovery, Communication and participation in psychiatric care,</i> and <i>Organization of psychiatric care. Personal recovery</i> included subthemes: Acceptance of vulnerability, Maturity, and Social stigma. <i>Communication and participation in psychiatric care</i> included subthemes: Personal approach, and Individually-adapted care and individual responsibility. <i>Organization of psychiatric care</i> included subthemes: Availability of health care, Resources, and Diagnostics and treatment. Personal recovery for young adults included social changes, comparison with peers, being between dependence and independence, and stigma. Acceptance of vulnerability and maturity helped to increase stability. Communication, participation and the organization of psychiatric care were described within the framework of patient-centred care, with an emphasis on an empathetic approach and the availability of psychiatric care. These findings offer clinically relevant insights into how psychiatric services can support long-term recovery.
DOI: 10.6084/m9.figshare.31292525.v1
title: The perspectives of previous young adult psychiatric patients regarding mental health recovery and the influence of received psychiatric care - a qualitative 20-year follow-up study

description: Young adults (18–25 years) have the highest prevalence of psychiatric disorders of any age group. This qualitative study aims to gain perspectives on individual change and recovery, and the influence of psychiatric care, 20 years after being treated as young adults. Semi-structured interviews were conducted at 20-year follow-up with 18 participants from the original ‘Young Adult’ study in Uppsala, Sweden from 2002/2003. All interviews were audio-recorded and transcribed. The data were analysed using inductive thematic analysis. The analysis resulted in three themes: <i>Personal recovery, Communication and participation in psychiatric care,</i> and <i>Organization of psychiatric care. Personal recovery</i> included subthemes: Acceptance of vulnerability, Maturity, and Social stigma. <i>Communication and participation in psychiatric care</i> included subthemes: Personal approach, and Individually-adapted care and individual responsibility. <i>Organization of psychiatric care</i> included subthemes: Availability of health care, Resources, and Diagnostics and treatment. Personal recovery for young adults included social changes, comparison with peers, being between dependence and independence, and stigma. Acceptance of vulnerability and maturity helped to increase stability. Communication, participation and the organization of psychiatric care were described within the framework of patient-centred care, with an emphasis on an empathetic approach and the availability of psychiatric care. These findings offer clinically relevant insights into how psychiatric services can support long-term recovery.
DOI: 10.6084/m9.figshare.31292524
title: Longitudinal study of light exposure, sleep, rest-activity rhythms, alertness and cognitive function among adults with stable heart failure

description: We evaluated the associations between daily light and sleep and rest-activity characteristics, alertness, and cognition over 1 year among participants in a study of the effects of cognitive behavioral therapy for insomnia heart failure [<i>N</i> = 168 participants (Mean age = 63.2 + 12.7 y; <i>n</i> = 72/42% women; left ventricular ejection fraction &lt;45% = 57 (34.3%))]. We measured sleep, rest-activity rhythms, the day-to-nighttime light exposure ratio (AUC), light time above threshold (TAT), the mean timing of light above threshold (MLiT), the phase difference, and the light regularity index (LRI) using wrist actigraphy at baseline and 3, 6, and 12 months post-intervention. We used the Insomnia Severity Index, the Pittsburgh Sleep Quality Index, the PROMIS Cognitive Abilities Scale, the Psychomotor Vigilance Test, and adjusted and unadjusted general linear models. Daytime light exceeding 100 lux was associated with a later sleep midpoint, a higher circadian quotient, less intra-daily variability, and greater inter-daily stability of rest-activity rhythms. Light levels above 100 lux were associated with fewer PVT lapses, and higher AUC values with better cognitive ability (all <i>p</i> &lt; 0.05). The phase difference was associated with insomnia, poorer sleep quality, and cognitive impairment over 12 months. Light levels and variability were not related to self-reported sleepiness, sleep quality, or insomnia symptoms.
DOI: 10.6084/m9.figshare.31292524.v1
title: Longitudinal study of light exposure, sleep, rest-activity rhythms, alertness and cognitive function among adults with stable heart failure

description: We evaluated the associations between daily light and sleep and rest-activity characteristics, alertness, and cognition over 1 year among participants in a study of the effects of cognitive behavioral therapy for insomnia heart failure [<i>N</i> = 168 participants (Mean age = 63.2 + 12.7 y; <i>n</i> = 72/42% women; left ventricular ejection fraction &lt;45% = 57 (34.3%))]. We measured sleep, rest-activity rhythms, the day-to-nighttime light exposure ratio (AUC), light time above threshold (TAT), the mean timing of light above threshold (MLiT), the phase difference, and the light regularity index (LRI) using wrist actigraphy at baseline and 3, 6, and 12 months post-intervention. We used the Insomnia Severity Index, the Pittsburgh Sleep Quality Index, the PROMIS Cognitive Abilities Scale, the Psychomotor Vigilance Test, and adjusted and unadjusted general linear models. Daytime light exceeding 100 lux was associated with a later sleep midpoint, a higher circadian quotient, less intra-daily variability, and greater inter-daily stability of rest-activity rhythms. Light levels above 100 lux were associated with fewer PVT lapses, and higher AUC values with better cognitive ability (all <i>p</i> &lt; 0.05). The phase difference was associated with insomnia, poorer sleep quality, and cognitive impairment over 12 months. Light levels and variability were not related to self-reported sleepiness, sleep quality, or insomnia symptoms.
DOI: 10.6084/m9.figshare.31292530.v1
title: Tamoxifen-loaded TPGS-PLGA nanoplatform for breast cancer therapy: insights into drug delivery, distribution, treatment efficacy, and ultrasound/photoacoustic imaging

description: The objective of the present study was to develop and characterize tamoxifen (TAM)-loaded TPGS-PLGA nanoparticles (NPs) for more effective breast cancer treatment than conventional therapy. TAM@TPGS-PLGA-NPs were developed using the emulsion-solvent evaporation method. Furthermore, various physicochemical characterizations were performed. In addition, cytotoxicity, <i>in vitro</i> hemocompatibility, histopathological, and imaging studies were conducted to evaluate the safety and efficacy of the formulation. TAM@TPGS-PLGA-NPs had a particle size of 171.5 ± 7.3 nm, zeta potential of +34.08 ± 3.14 mV, and an entrapment efficiency was found to be 93.64 ± 1.86%, respectively. At an acidic pH of 5.5, TAM@TPGS-PLGA-NPs exhibited higher drug release compared to pH 7.4. <i>In vitro</i> cytotoxicity study revealed that TAM@TPGS-PLGA-NPs were 6.21-fold more cytotoxic than free TAM. The formulation exhibited excellent hemocompatibility and organ safety. <i>In vivo</i> ultrasound/photoacoustic imaging confirmed tumor‐selective accumulation and significantly suppressed tumor progression in the DMBA-induced female SD rats breast cancer model. The developed TAM@TPGS-PLGA-NPs demonstrated enhanced drug release in the tumor microenvironment, significantly improved cytotoxicity, and excellent biocompatibility compared to the free drug. These findings indicate their strong potential for tumor-targeted breast cancer therapy with reduced systemic toxicity and enhanced therapeutic efficacy.
DOI: 10.6084/m9.figshare.31292530
title: Tamoxifen-loaded TPGS-PLGA nanoplatform for breast cancer therapy: insights into drug delivery, distribution, treatment efficacy, and ultrasound/photoacoustic imaging

description: The objective of the present study was to develop and characterize tamoxifen (TAM)-loaded TPGS-PLGA nanoparticles (NPs) for more effective breast cancer treatment than conventional therapy. TAM@TPGS-PLGA-NPs were developed using the emulsion-solvent evaporation method. Furthermore, various physicochemical characterizations were performed. In addition, cytotoxicity, <i>in vitro</i> hemocompatibility, histopathological, and imaging studies were conducted to evaluate the safety and efficacy of the formulation. TAM@TPGS-PLGA-NPs had a particle size of 171.5 ± 7.3 nm, zeta potential of +34.08 ± 3.14 mV, and an entrapment efficiency was found to be 93.64 ± 1.86%, respectively. At an acidic pH of 5.5, TAM@TPGS-PLGA-NPs exhibited higher drug release compared to pH 7.4. <i>In vitro</i> cytotoxicity study revealed that TAM@TPGS-PLGA-NPs were 6.21-fold more cytotoxic than free TAM. The formulation exhibited excellent hemocompatibility and organ safety. <i>In vivo</i> ultrasound/photoacoustic imaging confirmed tumor‐selective accumulation and significantly suppressed tumor progression in the DMBA-induced female SD rats breast cancer model. The developed TAM@TPGS-PLGA-NPs demonstrated enhanced drug release in the tumor microenvironment, significantly improved cytotoxicity, and excellent biocompatibility compared to the free drug. These findings indicate their strong potential for tumor-targeted breast cancer therapy with reduced systemic toxicity and enhanced therapeutic efficacy.
DOI: 10.5281/zenodo.18537589
title: Supplemental material to the article 'Regulatory Alignment or Divergence? Food Security Provisions in the Agreement on Agriculture and in Preferential Trade Agreements'

description: This document presents supplemental material to the article ‘Regulatory Alignment or Divergence? Food Security Provisions in the Agreement on Agriculture and in Preferential Trade Agreements’, by Francesca Coli (Scuola Superiore Sant’Anna di Pisa), Giorgio Comai (OBCT/CCI, Trento), Emile van Ommeren (Università di Trento), Mariagrazia Alabrese (Scuola Superiore Sant’Anna di Pisa), and Stefano Schiavo (Università di Trento and OFCE-SciencesPo)

 

Description of the dataset best viewed at: https://giorgiocomai.eu/trade_agreements_food_security/

Or start with the file "supplemental_material_summary.pdf" in this repository.
DOI: 10.5281/zenodo.18537590
title: Supplemental material to the article 'Regulatory Alignment or Divergence? Food Security Provisions in the Agreement on Agriculture and in Preferential Trade Agreements'

description: This document presents supplemental material to the article ‘Regulatory Alignment or Divergence? Food Security Provisions in the Agreement on Agriculture and in Preferential Trade Agreements’, by Francesca Coli (Scuola Superiore Sant’Anna di Pisa), Giorgio Comai (OBCT/CCI, Trento), Emile van Ommeren (Università di Trento), Mariagrazia Alabrese (Scuola Superiore Sant’Anna di Pisa), and Stefano Schiavo (Università di Trento and OFCE-SciencesPo)

 

Description of the dataset best viewed at: https://giorgiocomai.eu/trade_agreements_food_security/

Or start with the file "supplemental_material_summary.pdf" in this repository.