cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/wzd6j2pd4v.1
title: Thermodynamic and Economic Assessment of a Liquid Nitrogen Precooling Dual-Pressure Claude Cycle for Hydrogen Liquefaction

description: This dataset contains the complete Supporting Information for the study 
“Thermodynamic and Economic Assessment of a Liquid Nitrogen Precooling Dual-Pressure Claude Cycle for Hydrogen Liquefaction.”

The files include all raw numerical tables, simulation outputs, and economic assumptions used in the thermodynamic decomposition, cycle-level performance evaluation, and techno-economic analysis (TEA). The dataset is organized as follows:

1. Thermodynamic performance decomposition 
 • Table S1(a): Enthalpy-load distribution, refrigeration-duty allocation, and key performance indicators (SEC, power, turbine recovery). 
 • Table S1(b): Full HYSYS stream summary (temperature, pressure, flow rates, and heat duties for all process streams).

2. Process-flow documentation 
 • Figure S1: Detailed process flow diagram of the LN2-precooled dual-pressure Claude cycle for large-scale hydrogen liquefaction.

3. Techno-economic assumptions 
 • Table S2: Cost categories and baseline TEA assumptions (capital depreciation, power consumption, maintenance, labor, and miscellaneous operating costs). 
 • Table S3: Financial and operational parameters, including capital cost, plant lifetime, production scale, electricity/LN2 prices, discount rate, and depreciation method.

4. Parametric and sensitivity analyses 
 • Table S4: Influence of LN2 mass-flow rate on refrigeration-load distribution, cold-box pressure drops, and temperature-profile uniformity. 
 • Table S5: Effect of pressure-level distribution on cycle performance at fixed LN2 precooling conditions.

5. Uncertainty quantification (Monte Carlo simulations) 
 • Table S6: Regional liquid hydrogen production cost under uncertainties in electricity prices, LN2 prices, SEC variation, foreign-exchange rate, and transport/tax factors (China, United States, European Union; N=100,000). 
 • Table S7: Parametric LH2 cost sensitivity under region-specific electricity and LN2 price scenarios.
DOI: 10.17632/sgnkh7fcfz
title: Nutrient concentration in the surface ocean using highly-sensitive colorimetry

description: The nitrate plus nitrite (NOX), ammonium (NH4) and phosphate (SRP) concentrations using the highly sensitive colorimetry in the surface of the Pacific and Indian Oceans. Nutrient data were acquired from the analytical system every 1 min (see Nuts_Highly_sensitive.csv), and the data were averaged into 0.5° × 0.5° grids of latitude and longitude for each year–month period after removing values exceeding 1500 nM (see nuts_data_05deg.csv). Differences in the number of measurements among parameters arose from the exclusion of unreliable data due to non-linear baseline drifts.
DOI: 10.17632/sgnkh7fcfz.3
title: Nutrient concentration in the surface ocean using highly-sensitive colorimetry

description: The nitrate plus nitrite (NOX), ammonium (NH4) and phosphate (SRP) concentrations using the highly sensitive colorimetry in the surface of the Pacific and Indian Oceans. Nutrient data were acquired from the analytical system every 1 min (see Nuts_Highly_sensitive.csv), and the data were averaged into 0.5° × 0.5° grids of latitude and longitude for each year–month period after removing values exceeding 1500 nM (see nuts_data_05deg.csv). Differences in the number of measurements among parameters arose from the exclusion of unreliable data due to non-linear baseline drifts.
DOI: 10.15468/dl.eshqds
title: Occurrence Download

description: A dataset containing 3114 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tetrao urogallus",
 "BasisOfRecord is Human Observation",
 "Geometry POLYGON((14.985352 59.672595, 16.12793 59.672595, 16.12793 60.113461, 14.985352 60.113461, 14.985352 59.672595))"
 ]
}

 The dataset includes 3114 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031994-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/hzhg95752g
title: RC Grid-Like Frames Across Parametric Structural Configurations

description: The methodology for this research is based on a systematic parametric framework and an automated analytical workflow designed to quantify the seismic sensitivity of RC grid-like frames. To arrive at the data, a full factorial design was established comprising 90 distinct structural archetypes, representing typical urban construction. These configurations varied across six primary control variables: vertical topology (1 to 10 stories), plan geometry (bay aspect ratios from 0.2 to 3.0), member stiffness (systematic variation of column and beam cross-sections), slab thickness (150–200 mm), and concrete compressive strength (25–35 MPa). High-fidelity finite element models were then constructed in ETABS, utilizing rigid floor diaphragms and lumped seismic mass. Material nonlinearity was captured via a lumped plasticity approach with uni-axial moment hinges for beams and coupled axial-biaxial interaction hinges for columns, strictly following ASCE 41-17 protocols.To define the limit states for probabilistic assessment, nonlinear static pushover simulations were executed for all 90 archetypes. This process involved correlating physical damage progressions, such as plastic hinging and stiffness deterioration, with the Maximum Interstory Drift Ratio (MaxIDR). Rather than using empirical drift limits, five distinct Damage States (DS1–DS5) were discretized based on specific plastic hinge transitions (States A through E). A sequential search algorithm monitored the models during the pushover to record the precise base shear and roof drift at each transition, ensuring the multi-linear backbone curves accurately mapped structural degradation.The core data gathering was conducted through Incremental Dynamic Analysis (IDA), using an automated interface coupling ETABS with MATLAB via the ETABS C# API. Nine ground motion records from the PEER NGA-West2 database were selected to account for aleatory uncertainty. These records were iteratively scaled from a baseline of 0.05g until numerical non-convergence or collapse occurred. The tool extracted time step vectors and floor displacement histories to define the governing Engineering Demand Parameter (EDP) as the MaxIDR across all stories.
DOI: 10.17632/hzhg95752g.3
title: RC Grid-Like Frames Across Parametric Structural Configurations

description: The methodology for this research is based on a systematic parametric framework and an automated analytical workflow designed to quantify the seismic sensitivity of RC grid-like frames. To arrive at the data, a full factorial design was established comprising 90 distinct structural archetypes, representing typical urban construction. These configurations varied across six primary control variables: vertical topology (1 to 10 stories), plan geometry (bay aspect ratios from 0.2 to 3.0), member stiffness (systematic variation of column and beam cross-sections), slab thickness (150–200 mm), and concrete compressive strength (25–35 MPa). High-fidelity finite element models were then constructed in ETABS, utilizing rigid floor diaphragms and lumped seismic mass. Material nonlinearity was captured via a lumped plasticity approach with uni-axial moment hinges for beams and coupled axial-biaxial interaction hinges for columns, strictly following ASCE 41-17 protocols.To define the limit states for probabilistic assessment, nonlinear static pushover simulations were executed for all 90 archetypes. This process involved correlating physical damage progressions, such as plastic hinging and stiffness deterioration, with the Maximum Interstory Drift Ratio (MaxIDR). Rather than using empirical drift limits, five distinct Damage States (DS1–DS5) were discretized based on specific plastic hinge transitions (States A through E). A sequential search algorithm monitored the models during the pushover to record the precise base shear and roof drift at each transition, ensuring the multi-linear backbone curves accurately mapped structural degradation.The core data gathering was conducted through Incremental Dynamic Analysis (IDA), using an automated interface coupling ETABS with MATLAB via the ETABS C# API. Nine ground motion records from the PEER NGA-West2 database were selected to account for aleatory uncertainty. These records were iteratively scaled from a baseline of 0.05g until numerical non-convergence or collapse occurred. The tool extracted time step vectors and floor displacement histories to define the governing Engineering Demand Parameter (EDP) as the MaxIDR across all stories.
DOI: 10.17632/9fb4v29f56
title: Bibliometric Dataset on AR in Informal Education

description: Bibliometric Dataset on AR in Informal Education (223 Articles) Based on the Scopus Database as of February 9, 2026
DOI: 10.17632/9fb4v29f56.2
title: Bibliometric Dataset on AR in Informal Education

description: Bibliometric Dataset on AR in Informal Education (223 Articles) Based on the Scopus Database as of February 9, 2026
DOI: 10.5281/zenodo.18713157
title: objectless_alife PR26 follow-up lightweight reproducibility bundle

description: Lightweight summary bundle for objectless_alife PR26 follow-up analyses, including manifest, checksums, and summary JSON/CSV outputs.
DOI: 10.5281/zenodo.18713158
title: objectless_alife PR26 follow-up lightweight reproducibility bundle

description: Lightweight summary bundle for objectless_alife PR26 follow-up analyses, including manifest, checksums, and summary JSON/CSV outputs.
DOI: 10.17632/ng5gdzvfz6
title: Supplement to Predictors of Sentinel Lymph Node Mapping Failure in Endometrial Cancer: A Retrospective Multicenter Study

description: RNotebok reports with results of 1) statistical analyses, 2) training Imbalanced Random Forest for predicting SLN failure.
DOI: 10.17632/ng5gdzvfz6.2
title: Supplement to Predictors of Sentinel Lymph Node Mapping Failure in Endometrial Cancer: A Retrospective Multicenter Study

description: RNotebok reports with results of 1) statistical analyses, 2) training Imbalanced Random Forest for predicting SLN failure.
DOI: 10.3929/ethz-c-000794495
title: Controlling Spatial Structure in Minimal Microbial Communities by Sequential Capillary Assembly
DOI: 10.17632/yjd7b338gd
title: Dataset on marine debris from R. Puthupattinam and Kottaipattinam fishing zones, Palk Bay

description: A baseline survey on marine debris was conducted for the first time at two coastal sites, R. Puthupattinam and Kottaipattinam, in the Palk Bay region, Southeast Coast of India. The study aimed to assess debris type, spatial distribution, quantity, composition (biodegradable and non-biodegradable), and data correlation of marine debris
DOI: 10.17632/yjd7b338gd.1
title: Dataset on marine debris from R. Puthupattinam and Kottaipattinam fishing zones, Palk Bay

description: A baseline survey on marine debris was conducted for the first time at two coastal sites, R. Puthupattinam and Kottaipattinam, in the Palk Bay region, Southeast Coast of India. The study aimed to assess debris type, spatial distribution, quantity, composition (biodegradable and non-biodegradable), and data correlation of marine debris
DOI: 10.17632/m97zgzhmyr
title: Effects of Psychotherapy Incorporating Horses (PIH) on Suicide Risk and Affect Among Psychiatric Inpatients

description: This dataset originates from a prospective, non-randomized controlled observational study examining the effectiveness of Psychotherapy Incorporating Horses (PIH) in hospitalized psychiatric patients in risk of suicide.

Research hypothesis:
It was hypothesized that participation in PIH would lead to a reduction in suicidal risk and improvements in affective state compared to the control group participating in standard therapeutic workshops.

Data collection:
Data were collected at three predefined intervals during the 8-week observation period:
(1) baseline (week 1, prior to the first targeted therapy session),
(2) mid-intervention (week 3, after the third therapy session), and
(3) post-intervention (week 8, after the final therapy session).

Measures included:
The dataset contains anonymized individual-level data including demographic variables (e.g., age, sex, diagnosis, length of hospitalization, number of previous hospitalizations), variables related to experience with animals, and psychometric outcomes measured using the Positive and Negative Affect Schedule (PANAS). And the Columbia-Suicide Severity Rating Scale (C-SSRS), classified into ten ordinal risk categories in accordance with Scoring and Data Analysis Guide for C-SSRS by Nilsson et al. (2013)

Key findings:
The data indicate changes in affective states and suicidal risk trajectories over time, with greater improvements observed in the experimental group compared to the control group.

Data interpretation and use:
The dataset allows replication of the statistical analyses reported in the associated manuscript, including between-group comparisons and within-subject longitudinal analyses. All data have been fully anonymized in accordance with ethical standards and institutional approval.
DOI: 10.17632/m97zgzhmyr.1
title: Effects of Psychotherapy Incorporating Horses (PIH) on Suicide Risk and Affect Among Psychiatric Inpatients

description: This dataset originates from a prospective, non-randomized controlled observational study examining the effectiveness of Psychotherapy Incorporating Horses (PIH) in hospitalized psychiatric patients in risk of suicide.

Research hypothesis:
It was hypothesized that participation in PIH would lead to a reduction in suicidal risk and improvements in affective state compared to the control group participating in standard therapeutic workshops.

Data collection:
Data were collected at three predefined intervals during the 8-week observation period:
(1) baseline (week 1, prior to the first targeted therapy session),
(2) mid-intervention (week 3, after the third therapy session), and
(3) post-intervention (week 8, after the final therapy session).

Measures included:
The dataset contains anonymized individual-level data including demographic variables (e.g., age, sex, diagnosis, length of hospitalization, number of previous hospitalizations), variables related to experience with animals, and psychometric outcomes measured using the Positive and Negative Affect Schedule (PANAS). And the Columbia-Suicide Severity Rating Scale (C-SSRS), classified into ten ordinal risk categories in accordance with Scoring and Data Analysis Guide for C-SSRS by Nilsson et al. (2013)

Key findings:
The data indicate changes in affective states and suicidal risk trajectories over time, with greater improvements observed in the experimental group compared to the control group.

Data interpretation and use:
The dataset allows replication of the statistical analyses reported in the associated manuscript, including between-group comparisons and within-subject longitudinal analyses. All data have been fully anonymized in accordance with ethical standards and institutional approval.
DOI: 10.17632/ppw4tm25pf
title: Environmental Sustainability at Borderland Ports in Pakistan Data

description: The data comprises survey information utilized to develop and statistically evaluate a measurement scale for environmental sustainability at the land ports along the Pakistan border. The data are formatted in SPSS and encompass coded responses from 730 participants involved in land port activities throughout three regions in Pakistan.

The data set includes item-level characteristics aligned with the Sustainable Development Goals framework and the Asian Development Bank's environmental and social framework. Structured Likert scale instruments are employed to document the responses. They possess demographic and operational background variables that facilitate subgroup analysis.


The SPSS file contains explicitly defined variables, value coding definitions, and scale indicators to facilitate the replication of reliability and factor structure testing processes. The dataset supports the application of internal consistency evaluation, exploratory factor analysis, and confirmatory factor analysis via standard statistical software.

Variable nomenclature, coding architecture, and construct classifications are organized to facilitate secondary analysis, enhance scales, enable cross-regional comparisons, and allow generalization in various land port or trade corridor contexts. All data is anonymised and devoid of personally identifiable information.

The data can be reutilized in terrestrial trade system studies concerning sustainability assessment, infrastructure governance, and environmental performance.
DOI: 10.15468/dl.vrb79z
title: Occurrence Download

description: A dataset containing 12998259 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonId is not null",
 "GbifId is not null",
 "Country is one of (Canada, Mexico, United States of America)",
 "EventDate is greater than or equal to 2025-02-24",
 "EventDate is less than or equal to 2026-02-24",
 {
 "not" : {
 "Issue" : [
 "is one of (Basis of record invalid, Coordinate reprojection failed, Coordinate reprojection suspicious, Coordinate precision invalid, Coordinate uncertainty meters invalid, Country mismatch, Country invalid, Geodetic datum invalid, Presumed swapped coordinate, Presumed negated longitude, Presumed negated latitude, Country coordinate mismatch)"
 ]
 }
 },
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 12998259 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031977-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/ppw4tm25pf.1
title: Environmental Sustainability at Borderland Ports in Pakistan Data

description: The data comprises survey information utilized to develop and statistically evaluate a measurement scale for environmental sustainability at the land ports along the Pakistan border. The data are formatted in SPSS and encompass coded responses from 730 participants involved in land port activities throughout three regions in Pakistan.

The data set includes item-level characteristics aligned with the Sustainable Development Goals framework and the Asian Development Bank's environmental and social framework. Structured Likert scale instruments are employed to document the responses. They possess demographic and operational background variables that facilitate subgroup analysis.


The SPSS file contains explicitly defined variables, value coding definitions, and scale indicators to facilitate the replication of reliability and factor structure testing processes. The dataset supports the application of internal consistency evaluation, exploratory factor analysis, and confirmatory factor analysis via standard statistical software.

Variable nomenclature, coding architecture, and construct classifications are organized to facilitate secondary analysis, enhance scales, enable cross-regional comparisons, and allow generalization in various land port or trade corridor contexts. All data is anonymised and devoid of personally identifiable information.

The data can be reutilized in terrestrial trade system studies concerning sustainability assessment, infrastructure governance, and environmental performance.
DOI: 10.15468/dl.unkgv3
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Campsurus nessimiani",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 6 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031995-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5h6rxb
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Astroblepus marmoratus",
 "HasCoordinate is true",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 10 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031996-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/ym5vk5zvsh
title: Programmatic Landscape Analysis Data on Introduction of Balanced Energy Protein (BEP) Supplementation via ANC

description: We conducted a global landscape analysis on BEP supplementation to directly inform former USAID country programs implementing BEP supplementation. Stakeholders interviewed were from former USAID country programs on maternal health and/or emergency nutrition in Colombia, Ethiopia, Ghana, Malawi, Mozambique, and Nepal. Key informant interviews (KIIs) were conducted with country stakeholders (n= 7) and global stakeholders (n= 6) to inform implementation of BEP supplementation via facility and community-based ANC platforms. Key themes explored in this landscape analysis were: enabling environment, service readiness, BEP product selection and distribution systems, monitoring needs, and other relevant considerations. Key informants included maternal health and nutrition professionals from international non-profit and multilateral organizations, country governments, program implementers, and donors. All KIIs were conducted online via Microsoft Teams and recorded. Transcripts were transcribed verbatim and were accompanied by detailed notes taken during interviews. Qualitative analysis was conducted using Dedoose software, according to emergent key themes and subthemes.
DOI: 10.17632/ym5vk5zvsh.1
title: Programmatic Landscape Analysis Data on Introduction of Balanced Energy Protein (BEP) Supplementation via ANC

description: We conducted a global landscape analysis on BEP supplementation to directly inform former USAID country programs implementing BEP supplementation. Stakeholders interviewed were from former USAID country programs on maternal health and/or emergency nutrition in Colombia, Ethiopia, Ghana, Malawi, Mozambique, and Nepal. Key informant interviews (KIIs) were conducted with country stakeholders (n= 7) and global stakeholders (n= 6) to inform implementation of BEP supplementation via facility and community-based ANC platforms. Key themes explored in this landscape analysis were: enabling environment, service readiness, BEP product selection and distribution systems, monitoring needs, and other relevant considerations. Key informants included maternal health and nutrition professionals from international non-profit and multilateral organizations, country governments, program implementers, and donors. All KIIs were conducted online via Microsoft Teams and recorded. Transcripts were transcribed verbatim and were accompanied by detailed notes taken during interviews. Qualitative analysis was conducted using Dedoose software, according to emergent key themes and subthemes.
DOI: 10.15468/dl.ydsgv3
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hemibrycon decurrens",
 "HasCoordinate is true",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 10 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031997-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.