cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17977510
title: Dataset: Multi-view video sequences of Megathyrsus maximus and Urochloa spp. in field conditions for 3D reconstruction and temporal phenotyping

description: Overview

This dataset contains a time-series collection of 135 high definition video sequences of tropical forage grasses (Megathyrsus maximus and Urochloa spp.) grown under open field conditions. The study follows various genotypes with 3 replications each, captured over a growing period.



Week 1 (Pre-Pruning): This sequence represents the full biomass before the pruning event.

Weeks 2–9 (Regrowth): This sequence represents the regrowth period.


The dataset is intended as a primary source for 3D reconstruction using Neural Radiance Fields (NeRF) and 3D Gaussian Splatting (3DGS).
description: Capture Protocol

To accommodate the increased biomass and architectural complexity of field-grown specimens, a hybrid orbital-spherical protocol was implemented:



Lower Orbit: A 360° circular pass captured slightly above ground level to resolve the plant base and crown.

Higher Orbit: A 360° circular pass at maximum canopy height to capture upper leaf surfaces.

Spherical Panning: Two broad hemispherical "side-to-side" sweeps.


Technical Specifications



Species: Megathyrsus maximus and Urochloa.

Specimen Count: 15 unique plants.

Experimental Design: Genotype-based organization with 3 replications per genotype.

Temporal Resolution: 9 weekly captures.

Camera Hardware: Oukitel Android Mobile Device

Resolution/FPS: 2560x1440 @ 29.92 first week, 1920x1080 @ 29.92 weeks 2-9

Format: MP4

Environment: Open Field (In-situ).

Total File Count: 135 Videos
DOI: 10.5281/zenodo.17630217
title: Supplementary Dataset for "Virtual City Simulator: A Scenario-Based Tool for Multidimensional Urban Flood Long-Term Vulnerability Assessment and Planning in Mediterranean Cities"

description: This Supplementary Dataset accompanies the manuscript “Virtual City Simulator: A Scenario-Based Tool for Multidimensional Urban Flood Long-Term Vulnerability Assessment and Planning in Mediterranean Cities.” It provides the complete data structure used to build, parameterize, and apply the Virtual City Simulator, including indicators, ranges, data sources, weights, and a real-case application.

The Excel file is organized into four sections, each documenting a key component of the methodology:

Section 1. Data_Virtual City: Contains the full database of 36 indicators used to assess long-term multidimensional flood vulnerability across eight synthetic Mediterranean neighborhood typologies. Indicators are organized into four dimensions (social, economic, environmental, physical) and three components (exposure, susceptibility, resilience). This sheet includes default values, ranges, and units.

Section 2. Source_Data_Virtual City: Provides detailed documentation of the data sources, assumptions, and estimation criteria used to define indicator values and typology-specific ranges. It ensures transparency and reproducibility, enabling users to trace every parameter to its empirical basis or methodological rule.

Section 3. Default weights_Virtual City: Includes the baseline weighting structure applied in the Virtual City Simulator. It contains: weights for the four vulnerability dimensions, and weights for the indicators within each dimension.These weights correspond to the Business-as-Usual (BAU) configuration used in the manuscript.

Section 4. Ruzafa_Virtual City: Presents a real-case application using partial data from the Ruzafa neighborhood (Valencia). This sheet illustrates how the synthetic Virtual City database can be hybridized with observed values in data-scarce settings to generate a multidimensional vulnerability profile. It supports the transferability analysis discussed in the article.

Overall, this dataset provides all the necessary inputs to replicate, validate, or extend the analyses presented in the manuscript, supporting scenario exploration, urban planning, and multidimensional vulnerability assessment through the Virtual City Simulator.
DOI: 10.5281/zenodo.17630218
title: Supplementary Dataset for "Virtual City Simulator: A Scenario-Based Tool for Multidimensional Urban Flood Long-Term Vulnerability Assessment and Planning in Mediterranean Cities"

description: This Supplementary Dataset accompanies the manuscript “Virtual City Simulator: A Scenario-Based Tool for Multidimensional Urban Flood Long-Term Vulnerability Assessment and Planning in Mediterranean Cities.” It provides the complete data structure used to build, parameterize, and apply the Virtual City Simulator, including indicators, ranges, data sources, weights, and a real-case application.

The Excel file is organized into four sections, each documenting a key component of the methodology:

Section 1. Data_Virtual City: Contains the full database of 36 indicators used to assess long-term multidimensional flood vulnerability across eight synthetic Mediterranean neighborhood typologies. Indicators are organized into four dimensions (social, economic, environmental, physical) and three components (exposure, susceptibility, resilience). This sheet includes default values, ranges, and units.

Section 2. Source_Data_Virtual City: Provides detailed documentation of the data sources, assumptions, and estimation criteria used to define indicator values and typology-specific ranges. It ensures transparency and reproducibility, enabling users to trace every parameter to its empirical basis or methodological rule.

Section 3. Default weights_Virtual City: Includes the baseline weighting structure applied in the Virtual City Simulator. It contains: weights for the four vulnerability dimensions, and weights for the indicators within each dimension.These weights correspond to the Business-as-Usual (BAU) configuration used in the manuscript.

Section 4. Ruzafa_Virtual City: Presents a real-case application using partial data from the Ruzafa neighborhood (Valencia). This sheet illustrates how the synthetic Virtual City database can be hybridized with observed values in data-scarce settings to generate a multidimensional vulnerability profile. It supports the transferability analysis discussed in the article.

Overall, this dataset provides all the necessary inputs to replicate, validate, or extend the analyses presented in the manuscript, supporting scenario exploration, urban planning, and multidimensional vulnerability assessment through the Virtual City Simulator.
DOI: 10.15468/dl.2yvwhh
title: Occurrence Download

description: A dataset containing 85 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Sardinella fimbriata"
 ]
}

 The dataset includes 85 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062997-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17709094
title: PG tool model, raw data from sustainability assessment performed on 106 European innovative livestock farms and published manuscript
DOI: 10.5281/zenodo.17709093
title: PG tool model, raw data from sustainability assessment performed on 106 European innovative livestock farms and published manuscript
DOI: 10.15468/dl.jm2m2f
title: Occurrence Download

description: A dataset containing 313 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((4.28549 43.6375,4.38403 43.63089,4.3891 43.68402,4.33187 43.69612,4.30098 43.69428,4.28699 43.68921,4.26228 43.66834,4.28549 43.6375))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Squamata"
 ]
}

 The dataset includes 313 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062999-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.38semc
title: Occurrence Download

description: A dataset containing 2699 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Amblygaster sirm"
 ]
}

 The dataset includes 2699 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062998-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18018248
title: Solstice Run  7-Day Continuous Timing Stability Dataset (Dec 15–22, 2025)

description: This dataset contains the complete raw dataset of the Solstice Run, a continuous 7-day timing experiment conducted from December 15, 2025, to December 22, 2025 (UTC).

The dataset is published precisely as recorded, without any post-processing, filtering, or correction.

 

The run captures high-resolution timestamp series, internal timing coherence, external reference offsets (NTP, Cloudflare Time, Roughtime), solar witness measurements, operational logs, daily cryptographic seals, and final integrity hashes.

 

During the final phase of the run, transient network timeouts and DNS resolution events were logged while querying external reference endpoints. These events were non-fatal, did not disrupt data collection, and did not compromise CSV integrity. The core timing data remained continuous and intact throughout the entire experiment.

 

This record serves as the primary measurement evidence. All analytical metrics (e.g., TIE, MTIE, ADEV, MDEV) are intended to be computed offline as derived artifacts in subsequent releases, utilizing this dataset as the immutable source.

All files are provided exactly as recorded. No post-processing, filtering, or correction has been applied.
description: Integrity verification:

ZIP SHA-256:41c3f2610d4b3ba881dea12a6711fd20b9d03acc605ab273928c3b14fc628557

After extraction, dataset integrity can be verified by recomputing the master hash from the provided CSV and log hashes:

Expected master hash:83e045259e4fb722ca351b18ca2333f2909684f959d00d027fb983eb3754f5d1
DOI: 10.15468/dl.wufve9
title: Occurrence Download

description: A dataset containing 72 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Amblygaster leiogaster"
 ]
}

 The dataset includes 72 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063000-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15641811
title: Supporting Materials for "Structure of the North-Central Chile subduction zone from local earthquake tomography" - velocity models, relocated earthquake catalogs, and local slab surface data for the Atacama segment

description: The present dataset includes the following materials for the Atacama segment in north-central Chile: minimum 1D velocity models, 3D velocity models (Vp, Vs, Vp/Vs), relocated seismic catalogs (including P-wave arrival times and S-P differential times in the absolute relocation case), and the "NewSlab" geometry. These datasets are part of the study “Structure of the North-Central Chile subduction zone from local earthquake tomography”.

 

Description of each dataset:

Data Set S1 - minimum 1D model: Derived minimum 1D velocity model obtained with (VELEST)  and used to obtain the presented results (for detailed procedure, refer to the main article). Line 1 gives general information from the author. Line 2 contains number of layers, depth, Vp velocity, Vs velocity, Vp/Vs ratio. Lines 3 to 23 describe values at different layers.

Data Set S2 - Final 3D Vp, Vp/Vs and Vs models: Final output velocity model obtained from (SIMUL2023) for the 3D Vp, Vp/Vs and Vs models (simul format). Line 1 describes bld factor, number of nodes in the x, y, and z directions. Lines 2, 3, and 4 describe the positions of the nodes (in km) from the origin (-70.8333, -27.0142), respectively. Lines 5 to 454: Vp values (in km/s). Lines 455 to 904: Vp/Vs ratios. Lines 905 to 1354 Vs values (in km/s).

Data Set S3 - relocated seismic catalog (Absolute relocation): Hypocentral information of the seismicity catalog after the absolute relocation (for detailed procedure, refer to main article). Columns are organized as follows: year, month, day, hour, minute, seconds, latitude, longitude, depth (in km). P-wave arrival times and S-P differential times associated to each event.

Data Set S4 - relocated seismic catalog (relative relocation): Hypocentral information of the seismicity catalog after the final relative relocation (for detailed procedure, refer to main article). Columns are organized as follows: year, month, day, hour, minute, seconds, latitude, longitude, depth (in km).

Data Set S5 - used seismic catalog: Hypocentral information of the seismicity catalog used to derive the velocity model (for detailed procedure, refer to main article). Columns are organized as follows: year, month, day, hour, minute, seconds, latitude, longitude, depth (in km). P-wave arrival times and S-P differential times associated to each event.

Data Set S6 - Slab surface: Slab surface for the Nazca Slab in the Atacama segment (northern Chile) obtained by fitting a  surface through to the earthquake locations following the procedure of (Sippl et al., (2018)). Columns represent from left to right longitude, latitude and depth, respectively. For questions, requests, or further information regarding the datasets, please contact: nihernandez@udec.cl
description: The documents in this repository will be made publicly available once the main paper to which they belong has been published.
DOI: 10.5281/zenodo.15641812
title: Supporting Materials for "Structure of the North-Central Chile subduction zone from local earthquake tomography" - velocity models, relocated earthquake catalogs, and local slab surface data for the Atacama segment

description: The present dataset includes the following materials for the Atacama segment in north-central Chile: minimum 1D velocity models, 3D velocity models (Vp, Vs, Vp/Vs), relocated seismic catalogs (including P-wave arrival times and S-P differential times in the absolute relocation case), and the "NewSlab" geometry. These datasets are part of the study “Structure of the North-Central Chile subduction zone from local earthquake tomography”.

 

Description of each dataset:

Data Set S1 - minimum 1D model: Derived minimum 1D velocity model obtained with (VELEST)  and used to obtain the presented results (for detailed procedure, refer to the main article). Line 1 gives general information from the author. Line 2 contains number of layers, depth, Vp velocity, Vs velocity, Vp/Vs ratio. Lines 3 to 23 describe values at different layers.

Data Set S2 - Final 3D Vp, Vp/Vs and Vs models: Final output velocity model obtained from (SIMUL2023) for the 3D Vp, Vp/Vs and Vs models (simul format). Line 1 describes bld factor, number of nodes in the x, y, and z directions. Lines 2, 3, and 4 describe the positions of the nodes (in km) from the origin (-70.8333, -27.0142), respectively. Lines 5 to 454: Vp values (in km/s). Lines 455 to 904: Vp/Vs ratios. Lines 905 to 1354 Vs values (in km/s).

Data Set S3 - relocated seismic catalog (Absolute relocation): Hypocentral information of the seismicity catalog after the absolute relocation (for detailed procedure, refer to main article). Columns are organized as follows: year, month, day, hour, minute, seconds, latitude, longitude, depth (in km). P-wave arrival times and S-P differential times associated to each event.

Data Set S4 - relocated seismic catalog (relative relocation): Hypocentral information of the seismicity catalog after the final relative relocation (for detailed procedure, refer to main article). Columns are organized as follows: year, month, day, hour, minute, seconds, latitude, longitude, depth (in km).

Data Set S5 - used seismic catalog: Hypocentral information of the seismicity catalog used to derive the velocity model (for detailed procedure, refer to main article). Columns are organized as follows: year, month, day, hour, minute, seconds, latitude, longitude, depth (in km). P-wave arrival times and S-P differential times associated to each event.

Data Set S6 - Slab surface: Slab surface for the Nazca Slab in the Atacama segment (northern Chile) obtained by fitting a  surface through to the earthquake locations following the procedure of (Sippl et al., (2018)). Columns represent from left to right longitude, latitude and depth, respectively. For questions, requests, or further information regarding the datasets, please contact: nihernandez@udec.cl
description: The documents in this repository will be made publicly available once the main paper to which they belong has been published.
DOI: 10.15468/dl.ey286c
title: Occurrence Download

description: A dataset containing 62 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aneides caryaensis"
 ]
}

 The dataset includes 62 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063001-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a92gdd
title: Occurrence Download

description: A dataset containing 1782 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Dussumieria elopsoides"
 ]
}

 The dataset includes 1782 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063003-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a5urhm
title: Occurrence Download

description: A dataset containing 182 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "Geometry POLYGON((-60.84037 -17.04016,-61.83658 -18.60563,-63.54436 -18.96141,-65.18098 -20.31341,-66.95992 -22.44813,-68.38307 -27.14453,-69.52159 -32.0544,-65.18098 -34.75839,-60.55574 -32.83713,-56.64208 -28.71,-54.29388 -23.72897,-58.99028 -19.88646,-60.69806 -19.03257,-60.84037 -17.04016))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Tropidurus etheridgei"
 ]
}

 The dataset includes 182 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063002-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.23642/usn.16674229
title: Survey sent to PhD candidates regarding library services

description: DATASET MIGRATED FROM FIGSHARE: This survey was sent to all current PhD candidates at what was then the University College of South-Eastern Norway (HSN), which is now the University of South-Eastern Norway (USN). The aim of the survey was to gain an understanding of how PhD candidates used the library, their familiarity with the services the library provides, and to create a course which would give the candidates transferable skills.
DOI: 10.23642/usn.16674229/7ftbmf
title: ForhÃ¥ndsvisning Quest.pdf

description: Forhåndsvisning Quest.pdf
DOI: 10.23642/usn.16674229/bhpjcc
title: Readme.txt

description: Readme.txt
DOI: 10.48597/xtqa-jrer
title: Particle_number_size_distribution at Lecce (ECO)

description: Measurement of Particle_number_size_distribution at Lecce (ECO)
DOI: 10.48597/medx-hmvw
title: Particle_number_size_distribution at Montseny

description: Measurement of Particle_number_size_distribution at Montseny
DOI: 10.48597/k6sj-czye
title: Measurement of Particle_number_size_distribution at Lecce (ECO)

description: Measurement of Particle_number_size_distribution at Lecce (ECO)
DOI: 10.48597/vks6-7kcs
title: Measurement of Particle_number_size_distribution at Montseny

description: Measurement of Particle_number_size_distribution at Montseny
DOI: 10.48597/z7v8-qkag
title: Measurement of Particle_number_size_distribution at Lecce (ECO)

description: Measurement of Particle_number_size_distribution at Lecce (ECO)
DOI: 10.48597/nxev-bb3f
title: Measurement of Particle_number_size_distribution at Lecce (ECO)

description: Measurement of Particle_number_size_distribution at Lecce (ECO)
DOI: 10.48597/epu2-wb95
title: Measurement of Particle_number_size_distribution at Montseny

description: Measurement of Particle_number_size_distribution at Montseny
DOI: 10.48597/vgfk-45sd
title: Measurement of Particle_number_size_distribution at Montseny

description: Measurement of Particle_number_size_distribution at Montseny
DOI: 10.23642/usn.14822295
title: Search strategies for review articles on personality tests in recruitment and work life contexts, and the variables turnover, burnout, sick leave, productivity and job engagement

description: DATASET MIGRATED FROM FIGSHARE: Search strategies for review articles on personality tests in recruitment and work life contexts, combined with each of the variables turnover, burnout, sick leave, productivity and job engagement, are described. Contains strategies for the databases PsycInfo, Business Source Elite and Web of Science. See the readme.txt for further documentation.
DOI: 10.23642/usn.14822295/deabpn
title: Narrative_all search strategies.docx

description: Narrative_all search strategies.docx
DOI: 10.23642/usn.14822295/h2gg6n
title: Narrative_all search strategies.pdf

description: Narrative_all search strategies.pdf
DOI: 10.23642/usn.14822295/xtqqjl
title: Personality tests_reviews_Readme.txt

description: Personality tests_reviews_Readme.txt
DOI: 10.23642/usn.14822295/ikcw9z
title: Search strategy_Business Source Elite_Burnout_20210621.pdf

description: Search strategy_Business Source Elite_Burnout_20210621.pdf
DOI: 10.23642/usn.14822295/zuumtk
title: Search strategy_Business Source Elite_Burnout_20210621.docx

description: Search strategy_Business Source Elite_Burnout_20210621.docx
DOI: 10.23642/usn.14822295/xjthl9
title: Search strategy_Business Source Elite_Job engagement_20210621.docx

description: Search strategy_Business Source Elite_Job engagement_20210621.docx
DOI: 10.23642/usn.14822295/k4dfyy
title: Search strategy_Business Source Elite_Productivity_20210621.docx

description: Search strategy_Business Source Elite_Productivity_20210621.docx
DOI: 10.23642/usn.14822295/mnx15m
title: Search strategy_Business Source Elite_Job engagement_20210621.pdf

description: Search strategy_Business Source Elite_Job engagement_20210621.pdf
DOI: 10.23642/usn.14822295/ttzfww
title: Search strategy_Business Source Elite_Productivity_20210621.pdf

description: Search strategy_Business Source Elite_Productivity_20210621.pdf
DOI: 10.23642/usn.14822295/ik6xp3
title: Search strategy_Business Source Elite_Sick leave_20210621.pdf

description: Search strategy_Business Source Elite_Sick leave_20210621.pdf
DOI: 10.23642/usn.14822295/y6k37a
title: Search strategy_Business Source Elite_Sick leave_20210621.docx

description: Search strategy_Business Source Elite_Sick leave_20210621.docx
DOI: 10.23642/usn.14822295/pfr2bb
title: Search strategy_Business Source Elite_Turnover 20210621.docx

description: Search strategy_Business Source Elite_Turnover 20210621.docx
DOI: 10.23642/usn.14822295/kia40r
title: Search strategy_Business Source Elite_Turnover 20210621.pdf

description: Search strategy_Business Source Elite_Turnover 20210621.pdf
DOI: 10.23642/usn.14822295/lgeonx
title: Search strategy_PsycInfo_Burnout_20210621.docx

description: Search strategy_PsycInfo_Burnout_20210621.docx
DOI: 10.23642/usn.14822295/hlgtcx
title: Search strategy_PsycInfo_Burnout_20210621.pdf

description: Search strategy_PsycInfo_Burnout_20210621.pdf