cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/dcbmjws425
title: Multimodal brain-derived subtypes of Major depressive disorder unveil multivariate associations between anergic symptoms, childhood trauma, immune-inflammatory markers and treatment-resistance

description: An estimated 30% of Major Depressive Disorder (MDD) patients exhibit resistance to conventional antidepressant treatments. Identifying reliable biomarkers of treatment-resistant depression (TRD) represents a major goal of precision psychiatry, which is hampered by the clinical and biological heterogeneity underlying MDD. To parse heterogeneity and uncover biologically-driven subtypes of MDD, we applied an unsupervised data-driven framework to stratify 102 MDD patients on their neuroimaging signature, including extracted measures of cortical thickness, grey matter volumes, and white matter fractional anisotropy. Our novel analytical pipeline integrated different machine learning algorithms to harmonize neuroimaging data, perform data dimensionality reduction, and provide a stability-based relative clustering validation. The obtained clusters were then characterized for immune-inflammatory peripheral biomarkers, TRD, history of childhood trauma and different profiles of depressive symptoms. Our results indicated two different clusters of patients, differentiable with 67% of accuracy: 1) one cluster (n=59) was associated with a higher proportion of TRD compared to the other, and higher scores of energy-related depressive symptoms, history of childhood abuse and emotional neglect; this cluster showed a widespread reduction in cortical thickness (d=0.43-1.80) and volumes (d=0.45-1.05), along with fractional anisotropy in the right superior fronto-occipital fasciculus, stria terminalis, and corpus callosum (d=0.46-0.52); 2) the second cluster (n=43) was associated with cognitive and affective depressive symptoms and thicker cortices and wider volumes compared to the other. Multivariate analyses revealed distinct brain-inflammation relationships between the two clusters, with increase in pro-inflammatory cytokines and chemokines being associated with decreased cortical thickness and grey matter volumes. Our stratification of MDD patients based on structural neuroimaging identified clinically-relevant subgroups of MDD with specific symptomatic, childhood trauma, and immune-inflammatory profiles, which can contribute to the development of tailored personalized interventions for MDD.
For any clarification, please contact the corresponding author (Dr. Federica Colombo) at colombo.federica@hsr.it
DOI: 10.17632/dcbmjws425.1
title: Multimodal brain-derived subtypes of Major depressive disorder unveil multivariate associations between anergic symptoms, childhood trauma, immune-inflammatory markers and treatment-resistance

description: An estimated 30% of Major Depressive Disorder (MDD) patients exhibit resistance to conventional antidepressant treatments. Identifying reliable biomarkers of treatment-resistant depression (TRD) represents a major goal of precision psychiatry, which is hampered by the clinical and biological heterogeneity underlying MDD. To parse heterogeneity and uncover biologically-driven subtypes of MDD, we applied an unsupervised data-driven framework to stratify 102 MDD patients on their neuroimaging signature, including extracted measures of cortical thickness, grey matter volumes, and white matter fractional anisotropy. Our novel analytical pipeline integrated different machine learning algorithms to harmonize neuroimaging data, perform data dimensionality reduction, and provide a stability-based relative clustering validation. The obtained clusters were then characterized for immune-inflammatory peripheral biomarkers, TRD, history of childhood trauma and different profiles of depressive symptoms. Our results indicated two different clusters of patients, differentiable with 67% of accuracy: 1) one cluster (n=59) was associated with a higher proportion of TRD compared to the other, and higher scores of energy-related depressive symptoms, history of childhood abuse and emotional neglect; this cluster showed a widespread reduction in cortical thickness (d=0.43-1.80) and volumes (d=0.45-1.05), along with fractional anisotropy in the right superior fronto-occipital fasciculus, stria terminalis, and corpus callosum (d=0.46-0.52); 2) the second cluster (n=43) was associated with cognitive and affective depressive symptoms and thicker cortices and wider volumes compared to the other. Multivariate analyses revealed distinct brain-inflammation relationships between the two clusters, with increase in pro-inflammatory cytokines and chemokines being associated with decreased cortical thickness and grey matter volumes. Our stratification of MDD patients based on structural neuroimaging identified clinically-relevant subgroups of MDD with specific symptomatic, childhood trauma, and immune-inflammatory profiles, which can contribute to the development of tailored personalized interventions for MDD.
For any clarification, please contact the corresponding author (Dr. Federica Colombo) at colombo.federica@hsr.it
DOI: 10.15468/dl.88d7tb
title: Occurrence Download

description: A dataset containing 382 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lesia savannarum (C.V.Morton) J.L.Clark & J.F.Sm."
 ]
}

 The dataset includes 382 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021632-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fkw935
title: Occurrence Download

description: A dataset containing 98 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lobelia cirsiifolia Lam."
 ]
}

 The dataset includes 98 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021633-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15598721
title: Data from the main text of "Reconstructing Critical Current Density in Josephson Junctions with Phase Non-linearity" manuscript
DOI: 10.5281/zenodo.15598722
title: Data from the main text of "Reconstructing Critical Current Density in Josephson Junctions with Phase Non-linearity" manuscript
DOI: 10.6084/m9.figshare.29244578
title: Structured nursing consultation programs in the pre- and post-liver transplant period: A Scoping Review Protocol

description: ABSTRACTObjective: To map and synthesize the evidence on structured nursing consultation programs for people in the pre- and/or post-liver transplant phase, identifying their characteristics, objectives, interventions performed, implementation contexts, and reported results.Introduction: Liver transplantation is the primary treatment for end-stage liver failure, involving a complex process before and after surgery. Nursing consultations are crucial for patient preparation, monitoring, and promoting adherence to therapy. Structured nursing programs with evidence-based interventions can enhance safety and continuity of care for transplant recipients. However, the implementation, characteristics, and outcomes of these programs are not well-documented in the literature.Inclusion Criteria: Studies with adults (18 years or older) who are candidates for liver transplantation and/or who have undergone liver transplantation will be included, and may include nursing professionals involved in the consultation programs. Studies with structured nursing consultation programs and systematized interventions will be included in any context of health care provision (hospital, outpatient, transplant units, home care). No geographical or temporal restriction will be applied.Methods: An initial limited search in Medline and CINAHL will be conducted, followed by a second search for published and unpublished studies without publication date limitations in MEDLINE® with Full Text, CINAHL® Plus with Full Text, MedicLatina™, SCIELO, Cochrane Central Register of Controlled Trials, Cochrane Database of Systematic Reviews, and JBI Evidence Synthesis. Two reviewers will independently conduct the study selection. After retrieving full-text studies, reference analysis, methodological quality assessment, and data extraction will also be independently conducted by two reviewers. Results will be accompanied by a narrative synthesis or meta-analysis, if appropriate.Conclusion: This review will provide a helpful knowledge base for clinical practice and the development of more effective, person-centred nursing consultation programmes in liver transplantation.
DOI: 10.6084/m9.figshare.29244578.v1
title: Structured nursing consultation programs in the pre- and post-liver transplant period: A Scoping Review Protocol

description: ABSTRACTObjective: To map and synthesize the evidence on structured nursing consultation programs for people in the pre- and/or post-liver transplant phase, identifying their characteristics, objectives, interventions performed, implementation contexts, and reported results.Introduction: Liver transplantation is the primary treatment for end-stage liver failure, involving a complex process before and after surgery. Nursing consultations are crucial for patient preparation, monitoring, and promoting adherence to therapy. Structured nursing programs with evidence-based interventions can enhance safety and continuity of care for transplant recipients. However, the implementation, characteristics, and outcomes of these programs are not well-documented in the literature.Inclusion Criteria: Studies with adults (18 years or older) who are candidates for liver transplantation and/or who have undergone liver transplantation will be included, and may include nursing professionals involved in the consultation programs. Studies with structured nursing consultation programs and systematized interventions will be included in any context of health care provision (hospital, outpatient, transplant units, home care). No geographical or temporal restriction will be applied.Methods: An initial limited search in Medline and CINAHL will be conducted, followed by a second search for published and unpublished studies without publication date limitations in MEDLINE® with Full Text, CINAHL® Plus with Full Text, MedicLatina™, SCIELO, Cochrane Central Register of Controlled Trials, Cochrane Database of Systematic Reviews, and JBI Evidence Synthesis. Two reviewers will independently conduct the study selection. After retrieving full-text studies, reference analysis, methodological quality assessment, and data extraction will also be independently conducted by two reviewers. Results will be accompanied by a narrative synthesis or meta-analysis, if appropriate.Conclusion: This review will provide a helpful knowledge base for clinical practice and the development of more effective, person-centred nursing consultation programmes in liver transplantation.
DOI: 10.15468/dl.5p9u64
title: Occurrence Download

description: A dataset containing 43 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lonchocarpus benthamianus Pittier"
 ]
}

 The dataset includes 43 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021634-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.4659056
title: Islamic Law [IO Bijapur 62]

description: Law: Ḥanafite.

This manuscript is now IO Bijapur 62 in the India Office collections.

[metadata: Otto Loth, A Catalogue of the Arabic Manuscripts in the Library of the India Office, (volume 1), no. 242 here with further notations and hyperlinks].


 

242.

B 62. Size 73/4 in. by 5 in.; foll. 28. Nine lines in a page.

A good copy of the Sirâjîyah, but imperfect both at the beginning and end. It commences: وان سفلت. Erroneously inscribed اوراق مصباح الدجی در علم فرایض.

Cf. Catal. 228, xiv. 4.
DOI: 10.5281/zenodo.4659057
title: Islamic Law [IO Bijapur 62]

description: Law: Ḥanafite.

This manuscript is now IO Bijapur 62 in the India Office collections.

[metadata: Otto Loth, A Catalogue of the Arabic Manuscripts in the Library of the India Office, (volume 1), no. 242 here with further notations and hyperlinks].


 

242.

B 62. Size 73/4 in. by 5 in.; foll. 28. Nine lines in a page.

A good copy of the Sirâjîyah, but imperfect both at the beginning and end. It commences: وان سفلت. Erroneously inscribed اوراق مصباح الدجی در علم فرایض.

Cf. Catal. 228, xiv. 4.
DOI: 10.6084/m9.figshare.26342770
title: Fusarium asiaticum pangenome genome data

description: Data of 'Adaptation of Fusarium Head Blight Pathogens to Changes in Agricultural Practices and Human Migration'.
DOI: 10.6084/m9.figshare.26342770.v1
title: Fusarium asiaticum pangenome genome data

description: Data of 'Adaptation of Fusarium Head Blight Pathogens to Changes in Agricultural Practices and Human Migration'.
DOI: 10.6084/m9.figshare.26342770.v2
title: Fusarium asiaticum pangenome genome data

description: Data of 'Adaptation of Fusarium Head Blight Pathogens to Changes in Agricultural Practices and Human Migration'.
DOI: 10.5281/zenodo.15598749
title: ACEM 10005 - supplementary files
DOI: 10.5281/zenodo.15598750
title: ACEM 10005 - supplementary files
DOI: 10.15468/dl.nvtxtq
title: Occurrence Download

description: A dataset containing 374 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 (GBIF_WITHIN('POLYGON((60 10,140 10,140 50,60 50,60 10))', occurrence.decimallatitude, occurrence.decimallongitude) = TRUE OR GBIF_WITHIN('POLYGON((60 12,180 12,180 90,60 90,60 12))', occurrence.decimallatitude, occurrence.decimallongitude) = TRUE)
 AND occurrence.hascoordinate = TRUE
 AND occurrence.hasgeospatialissues = FALSE
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (occurrence.taxonkey = 7493935 OR occurrence.acceptedtaxonkey = 7493935 OR occurrence.kingdomkey = 7493935 OR occurrence.phylumkey = 7493935 OR occurrence.classkey = 7493935 OR occurrence.orderkey = 7493935 OR occurrence.familykey = 7493935 OR occurrence.genuskey = 7493935 OR occurrence.specieskey = 7493935)
 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.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 374 records were derived from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021631-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/hzvpmrf5g3
title: Quantitative phase imaging with temporal kinetics predicts hematopoietic stem cell diversity

description: Innovative identification technologies for hematopoietic stem cells (HSCs) have advanced the frontiers of stem cell biology. Clinically, the functional quality of HSCs profoundly influences the safety and therapeutic efficacy of stem cell treatments. However, most analytical techniques capture only a single snapshot, disregarding the temporal context. A comprehensive understanding of the temporal heterogeneity of HSCs necessitates live-cell, real-time and non-invasive analysis. Here, we developed a prediction system for HSC diversity by integrating single-HSC ex vivo expansion technology with quantitative phase imaging (QPI)-driven machine learning. By analyzing single-cell kinetics with QPI, we discovered previously undetectable diversity among HSCs that snapshot analysis fails to capture. Our QPI-driven algorithm quantitatively evaluates the stemness of individual HSCs and incorporates temporal information to significantly improve prediction accuracy. This platform marks a paradigm shift from "identification" to "prediction", enabling us to forecast HSC quality by analyzing their past temporal kinetics.
DOI: 10.17632/hzvpmrf5g3.1
title: Quantitative phase imaging with temporal kinetics predicts hematopoietic stem cell diversity

description: Innovative identification technologies for hematopoietic stem cells (HSCs) have advanced the frontiers of stem cell biology. Clinically, the functional quality of HSCs profoundly influences the safety and therapeutic efficacy of stem cell treatments. However, most analytical techniques capture only a single snapshot, disregarding the temporal context. A comprehensive understanding of the temporal heterogeneity of HSCs necessitates live-cell, real-time and non-invasive analysis. Here, we developed a prediction system for HSC diversity by integrating single-HSC ex vivo expansion technology with quantitative phase imaging (QPI)-driven machine learning. By analyzing single-cell kinetics with QPI, we discovered previously undetectable diversity among HSCs that snapshot analysis fails to capture. Our QPI-driven algorithm quantitatively evaluates the stemness of individual HSCs and incorporates temporal information to significantly improve prediction accuracy. This platform marks a paradigm shift from "identification" to "prediction", enabling us to forecast HSC quality by analyzing their past temporal kinetics.
DOI: 10.15468/dl.wqxu3f
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Perciformes",
 "Geometry POLYGON((33.44664 46.39149, 32.46648 47.15155, 31.71491 47.51346, 31.32894 47.35279, 30.64606 46.8069, 29.57722 46.68484, 29.51784 46.31697, 29.18711 45.85929, 28.45741 45.16199, 28.39107 44.50339, 27.99305 43.62155, 27.32969 43.11521, 27.39603 42.08986, 27.66137 41.4218, 28.72276 41.17261, 30.05043 40.80487, 31.64431 40.90533, 33.23818 41.53805, 34.56641 41.57119, 35.62709 41.16837, 37.35379 40.66653, 39.52323 40.63294, 41.38275 40.7672, 42.59793 42.33233, 39.7201 44.13845, 38.24374 44.73164, 37.44423 45.08311, 36.14845 45.19979, 35.56949 45.18036, 34.93539 45.18036, 34.27372 45.43243, 33.83261 45.89485, 33.44664 46.39149))"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021639-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jhdu8n
title: Occurrence Download

description: A dataset containing 533 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Caragana korshinskii Kom."
 ]
}

 The dataset includes 533 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021637-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.guw7tz
title: Occurrence Download

description: A dataset containing 831 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lophocereus marginatus (DC.) S.Arias & Terrazas"
 ]
}

 The dataset includes 831 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021638-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uz4ey3
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Nepal, Bhutan, Bangladesh, Pakistan, China, India, Myanmar, Afghanistan)",
 "TaxonKey is Burara etelka (Hewitson, 1867)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021640-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15598715
title: The role of customer involvement in the coffee shop brand loyalty
DOI: 10.5281/zenodo.15598716
title: The role of customer involvement in the coffee shop brand loyalty
DOI: 10.5281/zenodo.15488102
title: Soil health on Swiss arable farms: data covering soil management practices, farm characteristics and decision drivers

description: Soil health is the cornerstone of sustainable agriculture, directly influencing agricultural production, climate resilience and Agri-ecosystem service provision, but studies have shown that agricultural soils degrade over time due to inadequate soil management practices. Remediation of soil management is hampered by an insufficient understanding of the drivers of soil management behaviour. To understand the status quo and develop insights for improving and maintaining soil health, we surveyed 2’739 Swiss arable farms in 2024. The survey aimed to capture the soil management practices use alongside the decision-making surrounding their implementation in the 2022/2023 production season. The dataset comprises four core components: (1) farm and farmer characteristics, including gender, age, management experience, labour availability, farm size and participation in agricultural environmental schemes (AES); (2) detailed records of twelve arable soil management practices, including uptake extent, number of years used, perceived knowledge and peer adoption; (3) farmers' priorities for soil health and their assessment of key agricultural challenges; and (4) production data for a subset of farms cultivating milling wheat, including wheat area, wheat yield and input application rates. We enriched the survey data with secondary plot level census data covering weather, soil type and crop rotation. This combined dataset provides a comprehensive resource that enables the analysis of current farming practices, knowledge gaps and challenges to maintain and improve the health of arable soils.
DOI: 10.17877/resolv-2024-m32ubdo9
title: Replication Data for: How sensitive are protein hydration shells to electrolyte concentration and protein composition?

description: Simulation input files, selected simulation output files, scripts to produce published images with simulation data. Simulation trajectories can be found in doi: &lt;a href="https://doi.org/10.5281/zenodo.14288232"&gt;10.5281/zenodo.1428823&lt;/a&gt;