cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.bp9dkh
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Asclepias curassavica",
 "Country is Burkina Faso",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078859-250717081556266/datasets/export for details.
DOI: 10.15468/dl.s9vdsd
title: Occurrence Download

description: A dataset containing 655 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Stenotaphrum secundatum",
 "Country is Portugal",
 "HasCoordinate is true"
 ]
}

 The dataset includes 655 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078860-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zhd2km
title: Occurrence Download

description: A dataset containing 143 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Euphorbia cyparissias",
 "Country is Lithuania",
 "HasCoordinate is true"
 ]
}

 The dataset includes 143 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078856-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/tev-v9q-t4p
title: Elhamma viettei Simonsen, 2015

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.ubmf63
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Juncus leucochlamys)",
 "Country is one of (Norway)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "CoordinateUncertaintyInMeters is less than or equal to 1000",
 "Year is greater than or equal to 1986",
 "Year is less than or equal to 2025",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "not" : {
 "BasisOfRecord" : [
 "is Machine Observation"
 ]
 }
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025704-260208012135463/datasets/export for details.
DOI: 10.15468/dl.r57d4n
title: Occurrence Download

description: A dataset containing 764855 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Amanitaceae"
 ]
}

 The dataset includes 764855 records from 855 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007716-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7u85xy
title: Occurrence Download

description: A dataset containing 1862 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Continent is North America",
 "Continent is South America"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Calidris canutus (Linnaeus, 1758)"
 ]
}

 The dataset includes 1862 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0309443-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qow1hv
title: Occurrence Download

description: A dataset containing 650973107 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is EOD – eBird Observation Dataset"
 ]
}

 The dataset includes 650973107 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000535-180925134338326/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.i3siel
title: Occurrence Download

description: A dataset containing 1437008991 species occurrences available in GBIF matching the query:
{ }

 The dataset includes 1437008991 records from 17304 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000106-170817152713382/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48580/dgwrj
title: Reevaluating Mycena section Amparoina (Mycenaceae, Agaricales) in the northwestern Iberian Peninsula and Macaronesia, with descriptions of four new species and a new European record
DOI: 10.15468/dl.mk34jx
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "TaxonKey is Boiga siamensis",
 "Year 2001-2026"
 ]
}

 The dataset includes 24 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001754-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5519/qd.4fmbrm00
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (5775281 records)
DOI: 10.15468/dl.vp99rz
title: Occurrence Download

description: A dataset containing 4745988 species occurrences available in GBIF matching the query:
{
 "and" : [
 "KingdomKey is Plantae",
 "Country is Portugal",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Human Observation, Machine Observation)"
 ]
}

 The dataset includes 4745988 records from 337 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001721-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.14469/hpc/15111
title: CYPTIS5 H -3227.080461, S = 129.181, G = -3227.141839 (Sum == -5,274.62601) Dihed 72.6

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/15112
title: CYPTIS4 -2828.955733 + ⅛S8= -398.16539925) = -3,227.12113225, DG = -12.99 Dihed 52.79

description: Gaussian 16 (C01) calculation
DOI: 10.5281/zenodo.18780876
title: Facteurs explicatifs du non-paiement de l'Impôt sur le Revenu Locatif (IRL) dans la commune de Kintambo, à Kinshasa

description: Abstract :

This article examines the determinants of non-compliance with Rental Income Tax (IRL) in Kintambo, a municipality of Kinshasa characterized by low tax mobilization, widespread informality, and limited trust in public institutions. Based on a representative sample of 436 households (tenants and landlords), the study adopts a multidisciplinary theoretical framework combining public economics, tax psychology, institutional theories, and sociocultural approaches. Descriptive and inferential analyses show that non-payment is primarily driven by a lack of fiscal information : 75.7% of respondents had never heard of the tax, and 89.9% were unaware of the sanctions. Logistic regression results indicate that awareness of the tax, perception of its compulsory nature, understanding of the tax rate, and a minimum level of trust in public management significantly reduce the likelihood of non-payment. Income level, however, is not statistically significant. Findings reveal a socioeconomic and cognitive divide: informed, educated and middle-/high-income individuals are more compliant, whereas young people, low-income households, and residents of disadvantaged neighborhoods are more likely to evade payment. The study calls for strengthening tax communication, simplifying administrative procedures, and improving local governance to enhance voluntary compliance.

Keywords : local taxation, rental income tax, non-compliance, tax compliance, governance, tax perception
DOI: 10.5281/zenodo.18780877
title: Facteurs explicatifs du non-paiement de l'Impôt sur le Revenu Locatif (IRL) dans la commune de Kintambo, à Kinshasa

description: Abstract :

This article examines the determinants of non-compliance with Rental Income Tax (IRL) in Kintambo, a municipality of Kinshasa characterized by low tax mobilization, widespread informality, and limited trust in public institutions. Based on a representative sample of 436 households (tenants and landlords), the study adopts a multidisciplinary theoretical framework combining public economics, tax psychology, institutional theories, and sociocultural approaches. Descriptive and inferential analyses show that non-payment is primarily driven by a lack of fiscal information : 75.7% of respondents had never heard of the tax, and 89.9% were unaware of the sanctions. Logistic regression results indicate that awareness of the tax, perception of its compulsory nature, understanding of the tax rate, and a minimum level of trust in public management significantly reduce the likelihood of non-payment. Income level, however, is not statistically significant. Findings reveal a socioeconomic and cognitive divide: informed, educated and middle-/high-income individuals are more compliant, whereas young people, low-income households, and residents of disadvantaged neighborhoods are more likely to evade payment. The study calls for strengthening tax communication, simplifying administrative procedures, and improving local governance to enhance voluntary compliance.

Keywords : local taxation, rental income tax, non-compliance, tax compliance, governance, tax perception
DOI: 10.6084/m9.figshare.28416968
title: RNA-Seq raw counts for Invasive Lobular Carcinoma (ILC) cohort

description: RNA-Seq raw counts and meta data for Invasive lobular carcinoma (ILC) cohortDjerroudi et al., Nature Communication, 2026
DOI: 10.6084/m9.figshare.28416968.v1
title: RNA-Seq raw counts for Invasive Lobular Carcinoma (ILC) cohort

description: RNA-Seq raw counts and meta data for Invasive lobular carcinoma (ILC) cohortDjerroudi et al., Nature Communication, 2026
DOI: 10.14469/hpc/15697
title: FULYOA, Cp2HfS5, G = -2425.599879 DG = -11.05

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/15703
title: FULYOA, Cp2HfS4, G =-2027.416873 ⅛S8= -398.16539925 =&gt; -2,425.58227225 DG = -11.05

description: Gaussian 16 (C01) calculation
DOI: 10.25549/usctheses-ouc11399nhr0
title: A Journey to the Center of the Insulin Secretory Granule: From Î²-Cell Architecture to Insulin Granule Ultrastructure
DOI: 10.6084/m9.figshare.31429901
title: Effects of huddling and food availability on seasonal torpor use and energetics in juvenile garden dormice (<i>Eliomys quercinus</i>)

description: Environmental fluctuations challenge juvenile hibernators to efficiently balance growth, fattening, and energy conservation prior to their first winter. This study investigates how social thermoregulation (huddling) and food availability affect the use of torpor, growth, fat accumulation, and hibernation in late-born juvenile garden dormice. Juveniles exhibited flexible energy-saving strategies, with huddling influencing torpor patterns and food intake during pre-hibernation. Despite these behavioral differences, individuals reached similar body mass and size at the onset and end of hibernation, regardless of housing or feeding conditions. During hibernation, food availability modulated total energy expenditure, particularly in males, likely due to changes in reproductive investment. These findings suggest that the combined use of torpor and huddling provides developmental flexibility, enabling juvenile dormice to meet the energetic demands of early life. This plasticity may be critical for survival in the face of environmental unpredictability, and future studies should investigate how early-life energy strategies influence long-term fitness and reproduction success.<br>
DOI: 10.6084/m9.figshare.31429901.v1
title: Effects of huddling and food availability on seasonal torpor use and energetics in juvenile garden dormice (<i>Eliomys quercinus</i>)

description: Environmental fluctuations challenge juvenile hibernators to efficiently balance growth, fattening, and energy conservation prior to their first winter. This study investigates how social thermoregulation (huddling) and food availability affect the use of torpor, growth, fat accumulation, and hibernation in late-born juvenile garden dormice. Juveniles exhibited flexible energy-saving strategies, with huddling influencing torpor patterns and food intake during pre-hibernation. Despite these behavioral differences, individuals reached similar body mass and size at the onset and end of hibernation, regardless of housing or feeding conditions. During hibernation, food availability modulated total energy expenditure, particularly in males, likely due to changes in reproductive investment. These findings suggest that the combined use of torpor and huddling provides developmental flexibility, enabling juvenile dormice to meet the energetic demands of early life. This plasticity may be critical for survival in the face of environmental unpredictability, and future studies should investigate how early-life energy strategies influence long-term fitness and reproduction success.<br>
DOI: 10.14469/hpc/15705
title: FULYIU, Cp2ZrS4, G = -2026.472363 + ⅛S8= -398.16539925 = -2,424.63776225 DG = -11.98

description: Gaussian 16 (C01) calculation
DOI: 10.14278/rodare.194
title: HZDR Data Management Strategy — Top-Level Architecture

description: Top-Level Architecture of the proposed HZDR Data Management Strategy
DOI: 10.14469/hpc/15706
title: FULYIU, Cp2ZrS5 G = -2424.656860

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/15737
title: O=VCpS5, G = -3399.820842, DG = -13.38 dihed 70.5

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/15738
title: O=VCpS4 + -3001.634113 ⅛S8= -398.16539925 = -3,399.79951225 dihed 6.7

description: Gaussian 16 (C01) calculation
DOI: 10.5281/zenodo.15301155
title: Data supporting: Unveiling Solitonic Collisions in Mechanical Metamaterials
DOI: 10.5281/zenodo.15301154
title: Data supporting: Unveiling Solitonic Collisions in Mechanical Metamaterials
DOI: 10.17026/dans-zzb-7vqx
title: Getuigen Verhalen, Vrouwen van de CPN, interview CPN02
title: Vrouwen van de CPN, interview CPN02

description: &lt;p&gt;Oral history interview met een vrouw, geboren in 1918 en afkomstig uit een links georiënteerd gezin. De Tribuneverkoper uit de buurt brengt haar in contact met een pantomime vereniging van de communistische partij. Via deze groep ontmoet ze enkele bekende leden van de Communistische Partij Nederland (CPN).&lt;/p&gt;&lt;p&gt;Tijdens de oorlog verspreidt ze onder andere de illegale Waarheid. Na de oorlog blijft ze actief voor de CPN. Ze verkoopt communistische kranten, doet mee met geldinzamelingsacties, is districtbestuurder van de partij, penningmeester van een vrouwenvredesorganisatie en lid van de zangvereniging Door Onthouding Sterk. Ook haar echtgenoot, afkomstig uit een communistisch gezin, is actief betrokken bij de CPN en diverse commissies. Hij zit enige tijd in de gemeenteraad. Na de opheffing van de CPN is CPN02 fanatiek gaan sporten. Op haar 80ste loopt ze voor het laatst de Dam tot Damloop.&lt;br&gt;&lt;br&gt;De aanleiding voor dit interview was het Aletta project om levensverhalen van vrouwen vast te leggen die (actief) lid waren van de Communistische Partij Nederland (CPN) en tenminste 14 waren toen de Tweede Wereldoorlog aanving.&lt;/p&gt;
description: Getuigen Verhalen, Vrouwen van de CPN
description: Nadat u uw toestemmingsverzoek hebt ingediend, vult u het “Form for permission to consult archives with restricted access” in en stuurt u het ingevulde formulier naar oralhistory@atria.nl. Verwijder bestanden na gebruik van uw persoonlijke apparaten. Het uploaden van dit materiaal naar een online schijf of clouddienst is verboden om de verspreiding van persoonsgegevens te voorkomen, in overeenstemming met de AVG. 

Once you have submitted your permission request, please complete the “Form for permission to consult archives with restricted access” and send the completed form to oralhistory@atria.nl. Please remove files from personal devices following use. Uploading of this material to any online drive or cloud service is prohibited, to prevent the distribution of personal data, adhering to the GDPR.
DOI: 10.25405/data.ncl.20747032
title: Clinical trial dataset supporting:<b> </b><i>Mavodelpar in Patients with Primary Mitochondrial Myopathy: A Phase 1 Trial </i>

description: This dataset includes the clinical trial dataset and clinical trial documentation supporting: <i>Mavodelpar in Patients with Primary Mitochondrial Myopathy: A Phase 1 Trial </i>(Stefanetti et al.)<b>Details</b><b>Author: </b>Stefanetti et al.<b>Contact:</b> renae.stefanetti@ncl.ac.uk<b>T</b><b>rial registration:</b> ClinicalTrials.gov ID: NCT03862846<b>Raw Data Files:</b>The following files underlying the clinical trial data (.excel files) are included:1_NMDAS. Raw data for: Table S1: Baseline Disease Characteristics2_CK and Aldolase. Raw data for: Fig 2: Evaluation of plasma biochemistry3_Pharmacokinetics. Raw data for: Pharmacokinetic (PK) analyses4_TEAEs. Raw data for: Table 1: Summary of Treatment-Emergent Adverse Events– Part A; Table 2: Most Frequent (≥2 participants (5 %)) TEAEs by System Organ Class and Preferred Term – Part A; Table S2: Treatment-Emergent Adverse Events (TEAEs) classified as Gastrointestinal (GI) Disorders (System Organ Class) for the Full Analysis Set – Part A; Table S3: Adverse Events Leading to Interruption in Dosing or Discontinuation of Mavodelpar (REN001) During Parts A or B).5_Peak exercise test_CWR_12MWT_STS. Raw data for: Fig 3: Exploratory efficacy outcomes with improvement; Table 3: Summary of Efficacy Exploratory Endpoints.6_NMDAS_SF-36_MFIS_BPI. Raw data for: Fig 3: Exploratory efficacy outcomes with improvement; Table 3: Summary of Efficacy Exploratory Endpoints.7_Vital signs_ECG. Raw data for: Table S4: Vital signs and ECGs.8_Laboratory Parameters. Raw data for: Table S5: Laboratory Parameters9_Serum Biomarkers_Acylcarnitine. Raw data for: Table S7: Pharmacodynamic (PD) Endpoints10_MFIS. Raw data for: Table S13: Modified Fatigue Impact11_BPI. Raw data for: Table S14: Brief Pain Inventory (BPI) – (Short Form)<b>RNA Sequencing Data</b>RNA sequencing data are deposited in the NCBI Sequence Read Archive under accession number: PRJNA1044583 - <b>Study Documentation</b>The following clinical trial study documents (PDF files) are included:1_REN001-101_Clinical Study Protocol V1.0_07Aug2018 – Version 1.0 (7th August 2018).2_REN001-101_Clinical Study Protocol_V2.0_Amendment 1.0_15May2019 – Amendment 1, Version 2.0 (15th May 2019).3_REN001-101_Clinical Study Protocol_V3.0_Amendment 2.0_07Aug2019 – Amendment 2, Version 3.0 (7th August 2019).4_REN001_101_Clinical Protocol V4.0_Amendment 3.0_11Nov19 – Amendment 3, Version 4.0 (11th November 2019).5_REN001-101_SAP_V1.0_07Mar2019 – Version 1.0 (7th March 2019).6_REN001-101_SAP_V2.0_03Dec2020 – Version: 2.0 (3rd December 2020).7_Summary of REN001-101 Protocol Amendments.8_Participant Information Sheet9_Informed Consent Form<b>Data Retention</b>Data will remain publicly available for the lifetime of the repository.<br><br>
DOI: 10.25405/data.ncl.20747032.v1
title: Clinical trial dataset supporting:<b> </b><i>Mavodelpar in Patients with Primary Mitochondrial Myopathy: A Phase 1 Trial </i>

description: This dataset includes the clinical trial dataset and clinical trial documentation supporting: <i>Mavodelpar in Patients with Primary Mitochondrial Myopathy: A Phase 1 Trial </i>(Stefanetti et al.)<b>Details</b><b>Author: </b>Stefanetti et al.<b>Contact:</b> renae.stefanetti@ncl.ac.uk<b>T</b><b>rial registration:</b> ClinicalTrials.gov ID: NCT03862846<b>Raw Data Files:</b>The following files underlying the clinical trial data (.excel files) are included:1_NMDAS. Raw data for: Table S1: Baseline Disease Characteristics2_CK and Aldolase. Raw data for: Fig 2: Evaluation of plasma biochemistry3_Pharmacokinetics. Raw data for: Pharmacokinetic (PK) analyses4_TEAEs. Raw data for: Table 1: Summary of Treatment-Emergent Adverse Events– Part A; Table 2: Most Frequent (≥2 participants (5 %)) TEAEs by System Organ Class and Preferred Term – Part A; Table S2: Treatment-Emergent Adverse Events (TEAEs) classified as Gastrointestinal (GI) Disorders (System Organ Class) for the Full Analysis Set – Part A; Table S3: Adverse Events Leading to Interruption in Dosing or Discontinuation of Mavodelpar (REN001) During Parts A or B).5_Peak exercise test_CWR_12MWT_STS. Raw data for: Fig 3: Exploratory efficacy outcomes with improvement; Table 3: Summary of Efficacy Exploratory Endpoints.6_NMDAS_SF-36_MFIS_BPI. Raw data for: Fig 3: Exploratory efficacy outcomes with improvement; Table 3: Summary of Efficacy Exploratory Endpoints.7_Vital signs_ECG. Raw data for: Table S4: Vital signs and ECGs.8_Laboratory Parameters. Raw data for: Table S5: Laboratory Parameters9_Serum Biomarkers_Acylcarnitine. Raw data for: Table S7: Pharmacodynamic (PD) Endpoints10_MFIS. Raw data for: Table S13: Modified Fatigue Impact11_BPI. Raw data for: Table S14: Brief Pain Inventory (BPI) – (Short Form)<b>RNA Sequencing Data</b>RNA sequencing data are deposited in the NCBI Sequence Read Archive under accession number: PRJNA1044583 - <b>Study Documentation</b>The following clinical trial study documents (PDF files) are included:1_REN001-101_Clinical Study Protocol V1.0_07Aug2018 – Version 1.0 (7th August 2018).2_REN001-101_Clinical Study Protocol_V2.0_Amendment 1.0_15May2019 – Amendment 1, Version 2.0 (15th May 2019).3_REN001-101_Clinical Study Protocol_V3.0_Amendment 2.0_07Aug2019 – Amendment 2, Version 3.0 (7th August 2019).4_REN001_101_Clinical Protocol V4.0_Amendment 3.0_11Nov19 – Amendment 3, Version 4.0 (11th November 2019).5_REN001-101_SAP_V1.0_07Mar2019 – Version 1.0 (7th March 2019).6_REN001-101_SAP_V2.0_03Dec2020 – Version: 2.0 (3rd December 2020).7_Summary of REN001-101 Protocol Amendments.8_Participant Information Sheet9_Informed Consent Form<b>Data Retention</b>Data will remain publicly available for the lifetime of the repository.<br><br>
DOI: 10.5281/zenodo.18799895
title: Comparing perceptions of Human Factors - priorities of cardiologists and biomedical engineers in the design of cardiovascular devices

description: Abstract

Catheter-based cardiovascular devices have unique and complex design requirements. Biomedical R&D engineers often turn to Human Factors to enhance their design to suit target users and optimise the interaction with the product. The aim of this study is to understand perceptions of Human Factors within the product development process of these devices. Attitudes of biomedical engineers were compared to those of the clinicians who use these devices. Data were gathered from 57 biomedical engineers and 20 cardiologists via questionnaires and semi-structured interviews. The results highlight that the priorities of engineers in the product development differ to those of cardiologists. User specific data, context specific data, upper limb torque strength and dynamic force data were highlighted as key gaps in the data that inform design guidance. By identifying and later filling data gaps and barriers to optimise design, these findings can improve how Human Factors is implemented during product development, leading to improved user experience and better patient outcomes.