cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15014279
title: Seismic velocity models in support of "Analysis of seismic wave amplification in sedimentary basins using 3D wavefield simulations"

description: This collection of files is a supplement to the submitted manuscript of Tian and Tape (2025). The study performs wavefield simulations for 10 earthquakes in four 3D models of the central Alaska region containing Nenana basin.
DOI: 10.5281/zenodo.15014280
title: Seismic velocity models in support of "Analysis of seismic wave amplification in sedimentary basins using 3D wavefield simulations"

description: This collection of files is a supplement to the submitted manuscript of Tian and Tape (2025). The study performs wavefield simulations for 10 earthquakes in four 3D models of the central Alaska region containing Nenana basin.
DOI: 10.5281/zenodo.15015255
title: Seismic velocity models in support of "Analysis of seismic wave amplification in sedimentary basins using 3D wavefield simulations"

description: This collection of files is a supplement to the submitted manuscript of Tian and Tape (2025). The study performs wavefield simulations for 10 earthquakes in four 3D models of the central Alaska region containing Nenana basin.
DOI: 10.17632/k2wk9fvz4d.1
title: Get AQI in One Shot-5 (GAOs-5)

description: Get AQI in One Shot-5 (GAOs-5)
DOI: 10.17632/d4cb8sfmy6.1
title: Rejection letters 2022

description: Dataset and documentation relating to research on rejection letters in selection. There are two datasets, one with an experimental design (study 1) and one correlational (study 2). The data collection was carried out in real selection contexts in 2022. 
Research was designed to explore the fundamental aspects influencing applicant reactions and outcomes, involving a thorough examination of organizations’ communication characteristics and procedures, including factors like communication delay and selection steps, as well as individual characteristics, that can shape how applicants perceive and react to the selection process.
Hypothesis 1 (Hp1). Response latency in rejection communication (brief vs. normal) affects the applicant’s perceptions of (H1a) fairness, (H1b) satisfaction with the process, (H1c) intention to recommend and to (H1d) re-apply.
Hypothesis 2 (Hp2): Applicant’s perceptions of (H2a) fairness, (H2b) satisfaction with the process, (H2c) intention to recommend and to (H2d) re-apply., worsen with the progressive selection steps. 
Hypothesis 3 (Hp3): employability moderates the relationship between perceived fairness and outcomes, such that higher employability weakens the association between fairness perceptions and outcomes.
Measures
Procedural Fairness was evaluated with five items derived from the international literature (Bauer et al., 2001), ranging from 1 (strongly disagree) to 5 (strongly agree); examples of items are “I believe that the evaluation was objective and impartial”. Cronbach’s Alpha = .942; McDonald’s ω = .945.
Employability was measured with the Italian version (Lodi et al., 2020) of the Self-Perceived Employability Scale (Rothwell & Arnold, 2007), consisting of eleven items to 5-point Likert-type scale (from 1 = no probability of getting a job; to 5 = 100% probability/certain of getting a job); examples of items “I could easily get a similar job to mine in almost any organization”. Cronbach’s Alpha = .90; McDonald’s ω = .91. 
Satisfaction with the selection process was evaluated with three items derived from the literature (Gilliland et al., 2001), ranging from 1 (totally dissatisfied) to 4 (totally satisfied). Examples of items (“How satisfied are you with the selection process?”). Cronbach’s Alpha = .94; McDonald’s ω = .95. 
Organizational Recommendation was assessed with three items derived from the literature (Waung & Brice, 2000), ranging from 0 (“I would certainly not recommend this company”) to 3 (“I would certainly recommend this company”); examples of items are “Would you recommend an application for this company to a friend?”. Cronbach’s Alpha = .94; McDonald’s ω = .94. 
Intention to re-apply was measured with three items derived from the literature (Waung & Brice, 2000) ranging from 0 (“I will certainly not re-apply) to 4 (I will certainly re-apply); examples of items are “Would you apply again to this company?”. Cronbach’s Alpha = .95; McDonald’s ω = .95.
DOI: 10.17632/ymh5vr98nk
title: Impact of time-restricted eating and high-intensity exercise on nutrient intake in women with overweight/obesity: Secondary analysis of a randomized controlled trial

description: Background/Objectives: Inadequate micronutrient intakes are common in individuals with overweight/obesity, which can exacerbate cardiovascular and metabolic disease risk. Diet and exercise are primary strategies for managing overweight and can also influence nutrient intakes. In this secondary analysis of dietary data collected in a randomized controlled trial (RCT) of time-restricted eating (TRE), high-intensity interval training (HIIT), a combination (TREHIIT), or a control group (CON), we investigated intervention effects on energy and nutrient intakes in women with overweight/obesity. Methods: We randomized 131 women (body mass index (BMI) ≥ 27 kg/m2) to 7 weeks of TRE (≤10-h daily eating window with ad libitum energy intake), HIIT (3 sessions/week, performed at ≥ 90% maximal heart rate), TREHIIT, or CON. Participants recorded all energy intake in an online food diary during a baseline week (week 0) and at the end of the study (week 6 and week 7). We investigated between-group differences in changes in mean energy, macronutrient, and micronutrient intakes. Conclusions: A ≤10-h TRE window might increase risk of micronutrient inadequacy in women with overweight/obesity. Future research is needed to investigate the effects of integrating nutritional guidelines with TRE interventions to mitigate risk of micronutrient inadequacy in individuals with overweight/obesity.
DOI: 10.17632/ymh5vr98nk.1
title: Impact of time-restricted eating and high-intensity exercise on nutrient intake in women with overweight/obesity: Secondary analysis of a randomized controlled trial

description: Background/Objectives: Inadequate micronutrient intakes are common in individuals with overweight/obesity, which can exacerbate cardiovascular and metabolic disease risk. Diet and exercise are primary strategies for managing overweight and can also influence nutrient intakes. In this secondary analysis of dietary data collected in a randomized controlled trial (RCT) of time-restricted eating (TRE), high-intensity interval training (HIIT), a combination (TREHIIT), or a control group (CON), we investigated intervention effects on energy and nutrient intakes in women with overweight/obesity. Methods: We randomized 131 women (body mass index (BMI) ≥ 27 kg/m2) to 7 weeks of TRE (≤10-h daily eating window with ad libitum energy intake), HIIT (3 sessions/week, performed at ≥ 90% maximal heart rate), TREHIIT, or CON. Participants recorded all energy intake in an online food diary during a baseline week (week 0) and at the end of the study (week 6 and week 7). We investigated between-group differences in changes in mean energy, macronutrient, and micronutrient intakes. Conclusions: A ≤10-h TRE window might increase risk of micronutrient inadequacy in women with overweight/obesity. Future research is needed to investigate the effects of integrating nutritional guidelines with TRE interventions to mitigate risk of micronutrient inadequacy in individuals with overweight/obesity.
DOI: 10.5281/zenodo.10813557
title: Comparative electrochemical study of veterinary drug – danofloxacin – at glassy carbon electrode and electrified liquid-liquid interface

description: Data set for the paper " Comparative electrochemical study of veterinary drug – danofloxacin – at glassy carbon electrode and electrified liquid-liquid interface"
DOI: 10.15468/dl.49sfm4
title: Occurrence Download

description: A dataset containing 497 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Heterotrioza chenopodii (Reuter, 1876)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 497 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005878-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8t8jzb
title: Occurrence Download

description: A dataset containing 2000 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Registros de especímenes de lepidópteros del Museo de Zoología de la Universidad de Concepción (UCCC-MZUC), Chile"
 ]
}

 The dataset includes 2000 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005879-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q4r8gc
title: Occurrence Download

description: A dataset containing 2000 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Registros de especímenes de lepidópteros del Museo de Zoología de la Universidad de Concepción (UCCC-MZUC), Chile"
 ]
}

 The dataset includes 2000 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005880-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4y8crb
title: Occurrence Download

description: A dataset listing the 38268 species recorded in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "Country is United States of America",
 "StateProvince is Texas",
 "Year is greater than or equal to 1997"
 ]
}

 The dataset's 38268 records were derived from 560 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005874-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w8ak8u
title: Occurrence Download

description: A dataset containing 314 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Helarctos malayanus (Raffles, 1822)",
 "Year 1980-2025"
 ]
}

 The dataset includes 314 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005881-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15015212
title: EQ Ground-Motion Cycle Count Database: NGA-Subduction PGA-Bins Dataset

description: The NGA-Subduction time series have been used to create this dataset of equivalent number of uniform cycles. Cyclic shearing caused by earthquake shaking can cause pore pressure build up and liquefaction in cohesionless soils, strength and stiffness degradation in cohesive soils, and fatigue damage in structures. Seed et al. (1975) proposed a method to convert an earthquake time series to an equivalent number of uniform cycles (neq). The main concept is that neq uniform cycles at a given cyclic stress ratio (CSR = applied shear stress, τ, divided by the vertical effective stress, σ'v) predict the same amount of damage as the actual ground motion. The first step of the method is to convert an acceleration time series to a series of uniform cycles at different amplitudes using a cycle counting method (CCM). The second step is to sum the number of uniform cycles at different amplitudes to predict an equivalent number of uniform cycles at a single amplitude using a weighting factor curve (WFC). Stelzer et al. (2020) showed that different CCM with the same WFC can predict neq values with average differences up to 35%. Therefore, there is a large amount of epistemic uncertainty based on the choice of CCM to convert an acceleration time series to a series of uniform cycles at different amplitudes.

 Due to this uncertainty, and to make the database more applicable to all types of analyses, we use four different cyclic counting methods: peak counting, mean-crossing, level crossing, and rainflow counting. This allows practitioners to pick the CCM that is most appropriate for their application and site, or use several to include epistemic uncertainty in their analyses. In addition, we use three different duration filters, resulting in 12 different measures of uniform cycles per acceleration time series. Finally, we provide both the raw data, and the aggregated number of cycles per amplitude bin, where we have chosen 10 amplitude bins evenly spaced between 0 and the PGA of the acceleration time series. 

This publication includes the full PGA-bin output for the NGA-Subduction records.
DOI: 10.5281/zenodo.15015213
title: EQ Ground-Motion Cycle Count Database: NGA-Subduction PGA-Bins Dataset

description: The NGA-Subduction time series have been used to create this dataset of equivalent number of uniform cycles. Cyclic shearing caused by earthquake shaking can cause pore pressure build up and liquefaction in cohesionless soils, strength and stiffness degradation in cohesive soils, and fatigue damage in structures. Seed et al. (1975) proposed a method to convert an earthquake time series to an equivalent number of uniform cycles (neq). The main concept is that neq uniform cycles at a given cyclic stress ratio (CSR = applied shear stress, τ, divided by the vertical effective stress, σ'v) predict the same amount of damage as the actual ground motion. The first step of the method is to convert an acceleration time series to a series of uniform cycles at different amplitudes using a cycle counting method (CCM). The second step is to sum the number of uniform cycles at different amplitudes to predict an equivalent number of uniform cycles at a single amplitude using a weighting factor curve (WFC). Stelzer et al. (2020) showed that different CCM with the same WFC can predict neq values with average differences up to 35%. Therefore, there is a large amount of epistemic uncertainty based on the choice of CCM to convert an acceleration time series to a series of uniform cycles at different amplitudes.

 Due to this uncertainty, and to make the database more applicable to all types of analyses, we use four different cyclic counting methods: peak counting, mean-crossing, level crossing, and rainflow counting. This allows practitioners to pick the CCM that is most appropriate for their application and site, or use several to include epistemic uncertainty in their analyses. In addition, we use three different duration filters, resulting in 12 different measures of uniform cycles per acceleration time series. Finally, we provide both the raw data, and the aggregated number of cycles per amplitude bin, where we have chosen 10 amplitude bins evenly spaced between 0 and the PGA of the acceleration time series. 

This publication includes the full PGA-bin output for the NGA-Subduction records.
DOI: 10.15468/dl.h23bze
title: Occurrence Download

description: A dataset containing 750 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Tillandsia stricta Sol. ex Ker Gawl."
 ]
}

 The dataset includes 750 records from 85 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005882-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26030/r0md-de60
title: Gene expression response to simulated gravity and hypergravity in human T cells

description: We investigated differentially regulated and stably expressed genes in human Jurkat T lymphocytic cells in 5min simulated microgravity and hypergravity and compared expression profiles to identify gravity-regulated and unaffected genes as well as adaptation processes. This dataset is part of a series of three, and the other two datasets are deposited in GLDS-172 and GLDS-188.
DOI: 10.5281/zenodo.15015060
title: EQ Ground-Motion Cycle Count Database: NGA-West2 PGA-Bins Dataset

description: The NGA-Subduction time series have been used to create this dataset of equivalent number of uniform cycles. Cyclic shearing caused by earthquake shaking can cause pore pressure build up and liquefaction in cohesionless soils, strength and stiffness degradation in cohesive soils, and fatigue damage in structures. Seed et al. (1975) proposed a method to convert an earthquake time series to an equivalent number of uniform cycles (neq). The main concept is that neq uniform cycles at a given cyclic stress ratio (CSR = applied shear stress, τ, divided by the vertical effective stress, σ'v) predict the same amount of damage as the actual ground motion. The first step of the method is to convert an acceleration time series to a series of uniform cycles at different amplitudes using a cycle counting method (CCM). The second step is to sum the number of uniform cycles at different amplitudes to predict an equivalent number of uniform cycles at a single amplitude using a weighting factor curve (WFC). Stelzer et al. (2020) showed that different CCM with the same WFC can predict neq values with average differences up to 35%. Therefore, there is a large amount of epistemic uncertainty based on the choice of CCM to convert an acceleration time series to a series of uniform cycles at different amplitudes.

 Due to this uncertainty, and to make the database more applicable to all types of analyses, we use four different cyclic counting methods: peak counting, mean-crossing, level crossing, and rainflow counting. This allows practitioners to pick the CCM that is most appropriate for their application and site, or use several to include epistemic uncertainty in their analyses. In addition, we use three different duration filters, resulting in 12 different measures of uniform cycles per acceleration time series. Finally, we provide both the raw data, and the aggregated number of cycles per amplitude bin, where we have chosen 10 amplitude bins evenly spaced between 0 and the PGA of the acceleration time series. 

This publication includes the full PGA-Bins output for the NGA-West2 records.
DOI: 10.5281/zenodo.15015061
title: EQ Ground-Motion Cycle Count Database: NGA-West2 PGA-Bins Dataset

description: The NGA-Subduction time series have been used to create this dataset of equivalent number of uniform cycles. Cyclic shearing caused by earthquake shaking can cause pore pressure build up and liquefaction in cohesionless soils, strength and stiffness degradation in cohesive soils, and fatigue damage in structures. Seed et al. (1975) proposed a method to convert an earthquake time series to an equivalent number of uniform cycles (neq). The main concept is that neq uniform cycles at a given cyclic stress ratio (CSR = applied shear stress, τ, divided by the vertical effective stress, σ'v) predict the same amount of damage as the actual ground motion. The first step of the method is to convert an acceleration time series to a series of uniform cycles at different amplitudes using a cycle counting method (CCM). The second step is to sum the number of uniform cycles at different amplitudes to predict an equivalent number of uniform cycles at a single amplitude using a weighting factor curve (WFC). Stelzer et al. (2020) showed that different CCM with the same WFC can predict neq values with average differences up to 35%. Therefore, there is a large amount of epistemic uncertainty based on the choice of CCM to convert an acceleration time series to a series of uniform cycles at different amplitudes.

 Due to this uncertainty, and to make the database more applicable to all types of analyses, we use four different cyclic counting methods: peak counting, mean-crossing, level crossing, and rainflow counting. This allows practitioners to pick the CCM that is most appropriate for their application and site, or use several to include epistemic uncertainty in their analyses. In addition, we use three different duration filters, resulting in 12 different measures of uniform cycles per acceleration time series. Finally, we provide both the raw data, and the aggregated number of cycles per amplitude bin, where we have chosen 10 amplitude bins evenly spaced between 0 and the PGA of the acceleration time series. 

This publication includes the full PGA-Bins output for the NGA-West2 records.
DOI: 10.5281/zenodo.15015260
title: Тариф на послуги постачальника універсальних послуг за період з 01.07.2019 по 31.12.2023
DOI: 10.5281/zenodo.15015261
title: Тариф на послуги постачальника універсальних послуг за період з 01.07.2019 по 31.12.2023
DOI: 10.5281/zenodo.15012928
title: Identifying a Novel Class of Lead Compounds for Monoacylglycerol Lipase Inhibition: An Integrated Computational Study
DOI: 10.5281/zenodo.15012929
title: Identifying a Novel Class of Lead Compounds for Monoacylglycerol Lipase Inhibition: An Integrated Computational Study
DOI: 10.15468/dl.y7eg6y
title: Occurrence Download

description: A dataset containing 332 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Korea, Republic of",
 "TaxonKey is Calidris acuminata (Horsfield, 1821)",
 "Year 2020-2025"
 ]
}

 The dataset includes 332 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005883-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qa9468
title: Occurrence Download

description: A dataset containing 417 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cacopsylla mali (Schmidberger, 1836)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 417 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005884-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vfb5tw
title: Occurrence Download

description: A dataset containing 314 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Helarctos malayanus (Raffles, 1822)",
 "Year 1980-2025"
 ]
}

 The dataset includes 314 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005885-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6073/pasta/097758bd8941be882983684c63bf62cd
title: Jornada Basin LTER: Wireless substation at NPP M-NORT site: 30-minute soil volumetric water content data: 2013 - ongoing

description: 30-minute Soil Moisture data is measured at 10cm, 20 cm, and 30 cm soil depths at the NPP M-NORT substation located in center of 70m x 70m Jornada LTER NPP M-NORT site. Collection of soil volumetric water content data at Jornada LTER NPP sites, New Mexico, supports the environmental monitoring objectives of the Jornada LTER monitoring program that look at plant-soil water dynamics. Volumetric water content, bulk electrical conductivity, soil temperature, and bulk dielectric permittivity are measured every 30 minutes. This is an ONGOING dataset.
DOI: 10.15468/dl.tfbcpf
title: Occurrence Download

description: A dataset listing the 199 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Registros de especímenes de lepidópteros del Museo de Zoología de la Universidad de Concepción (UCCC-MZUC), Chile"
 ]
}

 The dataset's 199 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005877-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.