cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17264761
title: Digital twin of costume #13 – Segmented surface. 3D MODEL

description: The 3D models present segmented surfaces of digital twins of historical costumes. The initial surfaces which were generated by using computer simulations in Clo software is shown on the left. The segments of the surfaces are shown on the right. Those represent areas controlled by parameters that are chosen subjectively divided into three categories, seams, edges and surfaces. The models aim to indicate uncertain areas of the garment resulting from limitations inherent to computer simulations.

The authors thank prof. Victor Kuzmichev and the team from Ivanovo State Polytechnic University for providing data required for 3D modelling.

The authors of the 3D models are Aleksei Moskvin and Mariia Moskvina (Saint Petersburg State University of Industrial Technologies and Design): 

https://sutd-ru.academia.edu/AlekseiMoskvin

https://independent.academia.edu/MariiaMoskvina

The 3D model is available at: https://skfb.ly/psSEM
DOI: 10.5281/zenodo.17264762
title: Digital twin of costume #13 – Segmented surface. 3D MODEL

description: The 3D models present segmented surfaces of digital twins of historical costumes. The initial surfaces which were generated by using computer simulations in Clo software is shown on the left. The segments of the surfaces are shown on the right. Those represent areas controlled by parameters that are chosen subjectively divided into three categories, seams, edges and surfaces. The models aim to indicate uncertain areas of the garment resulting from limitations inherent to computer simulations.

The authors thank prof. Victor Kuzmichev and the team from Ivanovo State Polytechnic University for providing data required for 3D modelling.

The authors of the 3D models are Aleksei Moskvin and Mariia Moskvina (Saint Petersburg State University of Industrial Technologies and Design): 

https://sutd-ru.academia.edu/AlekseiMoskvin

https://independent.academia.edu/MariiaMoskvina

The 3D model is available at: https://skfb.ly/psSEM
DOI: 10.6084/m9.figshare.30278116.v1
title: <b>Frosts </b><b>amplify</b><b> drought thresholds that delay spring green-up in northern ecosystem</b><b>s</b>

description: Under climate warming, increased frequency of droughts and greater risks of frost events both delay spring green-up dates (GUDs), reducing photosynthetic productivity. However, the quantitative drought thresholds that trigger delayed GUDs (DT-GUDs) and how frost events amplify these thresholds remain unclear. Using drought indices and multiple GUD layers from satellite/ground-based, ecosystem-phenology modelling, and future simulation datasets, we applied a copula-based Bayesian framework to quantify DT-GUDs. Results revealed DT-GUDs ranging from –3.28 ± 0.08 to –1.93 ± 1.35 (mean ± SD), with frost co-occurrence increasing these values by &gt;44%. This indicates that even mild droughts can delay GUDs under frosts. However, vegetation with higher physiological resilience and isohydricity can maintain relatively open stomata during drought stress, ensuring stable photosynthesis and physiological activities and reducing the risk of delayed GUDs under drought conditions. Our findings highlight nonlinear frost-drought interactions, revealing a critical pathway through which compound climate stresses drive spring phenological shifts in northern ecosystems.
DOI: 10.6084/m9.figshare.30278116.v2
title: <b>Frosts</b> and <b>drought thresholds</b>

description: Under climate warming, increased frequency of droughts and greater risks of frost events both delay spring green-up dates (GUDs), reducing photosynthetic productivity. However, the quantitative drought thresholds that trigger delayed GUDs (DT-GUDs) and how frost events amplify these thresholds remain unclear.
DOI: 10.26023/pmtz-ypcs-4x03
title: MILAGRO: T0 Wind Profiler Imagery. Version 1.0

description: This dataset contains profiler wind imagery from site T0 - Instituto Mexicano del Petroleo (T0-IMP) collected during the MILAGRO field project. The imagery ends on March 29, with a solitary image on May 11.
DOI: 10.15468/dl.34k9ze
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Amphimedon chloros",
 "Country is Egypt",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045857-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26023/nnbn-z9f4-xj13
title: MILAGRO: T1 Wind Profiler Imagery. Version 1.0

description: This dataset contains profiler imagery from site T1 - Universidad Tecnologica de Tecamac collected during the MILAGRO field project.
DOI: 10.26023/vtze-jjx3-0w0m
title: MILAGRO: Veracruz Wind Profiler Imagery. Version 1.0

description: This dataset contains profiler imagery from Veracruz, Mexico collected during the MILAGRO field project.
DOI: 10.15468/dl.8bwe4d
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mycale erythraeana",
 "Country is Egypt",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045858-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26023/s9qc-1k9q-af11
title: MILAGRO: Mobile Units Box Plots (CO, NO2, O3, PM10, SO2) Imagery. Version 1.0

description: This dataset contains mobile unit box plot imagery of CO, NO2, O3, PM10, and SO2 collected during the MILAGRO field project.
DOI: 10.15468/dl.wb5zth
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phascolion convestitum",
 "Country is Egypt",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045859-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26023/f8m5-n5fc-9210
title: MILAGRO: Mobile Units Box Plots (CO, NO2, O3, PM10, SO2) 15 Minute Average Imagery. Version 1.0

description: This dataset contains 15 minute average mobile unit box plot imagery of CO, NO2, O3, PM10, and SO2 collected during the MILAGRO field project.
DOI: 10.5281/zenodo.17264489
title: SQL Schema Dataset for Thesis

description: Schema of the MySQL Tables for the project for thesis.
DOI: 10.5281/zenodo.17264488
title: SQL Schema Dataset for Thesis

description: Schema of the MySQL Tables for the project for thesis.
DOI: 10.15468/dl.swqzf4
title: Occurrence Download

description: A dataset containing 2689 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Styrax grandifolius"
 ]
}

 The dataset includes 2689 records from 120 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045862-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3n5ahe
title: Occurrence Download

description: A dataset containing 138087 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Symphoricarpos albus"
 ]
}

 The dataset includes 138087 records from 888 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045829-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17264784
title: Digital twin of costume #14 – Segmented surface. 3D MODEL

description: The 3D models present segmented surfaces of digital twins of historical costumes. The initial surfaces which were generated by using computer simulations in Clo software is shown on the left. The segments of the surfaces are shown on the right. Those represent areas controlled by parameters that are chosen subjectively divided into three categories, seams, edges and surfaces. The models aim to indicate uncertain areas of the garment resulting from limitations inherent to computer simulations.

The authors thank prof. Victor Kuzmichev and the team from Ivanovo State Polytechnic University for providing data required for 3D modelling.

The authors of the 3D models are Aleksei Moskvin and Mariia Moskvina (Saint Petersburg State University of Industrial Technologies and Design): 

https://sutd-ru.academia.edu/AlekseiMoskvin

https://independent.academia.edu/MariiaMoskvina

The 3D model is available at: https://skfb.ly/psSEN
DOI: 10.5281/zenodo.17264785
title: Digital twin of costume #14 – Segmented surface. 3D MODEL

description: The 3D models present segmented surfaces of digital twins of historical costumes. The initial surfaces which were generated by using computer simulations in Clo software is shown on the left. The segments of the surfaces are shown on the right. Those represent areas controlled by parameters that are chosen subjectively divided into three categories, seams, edges and surfaces. The models aim to indicate uncertain areas of the garment resulting from limitations inherent to computer simulations.

The authors thank prof. Victor Kuzmichev and the team from Ivanovo State Polytechnic University for providing data required for 3D modelling.

The authors of the 3D models are Aleksei Moskvin and Mariia Moskvina (Saint Petersburg State University of Industrial Technologies and Design): 

https://sutd-ru.academia.edu/AlekseiMoskvin

https://independent.academia.edu/MariiaMoskvina

The 3D model is available at: https://skfb.ly/psSEN
DOI: 10.5281/zenodo.17264786
title: Digital twin of costume #15 – Segmented surface. 3D MODEL

description: The 3D models present segmented surfaces of digital twins of historical costumes. The initial surfaces which were generated by using computer simulations in Clo software is shown on the left. The segments of the surfaces are shown on the right. Those represent areas controlled by parameters that are chosen subjectively divided into three categories, seams, edges and surfaces. The models aim to indicate uncertain areas of the garment resulting from limitations inherent to computer simulations.

The authors thank prof. Victor Kuzmichev and the team from Ivanovo State Polytechnic University for providing data required for 3D modelling.

The authors of the 3D models are Aleksei Moskvin and Mariia Moskvina (Saint Petersburg State University of Industrial Technologies and Design): 

https://sutd-ru.academia.edu/AlekseiMoskvin

https://independent.academia.edu/MariiaMoskvina

The 3D model is available at: https://skfb.ly/psSEO
DOI: 10.5281/zenodo.17264787
title: Digital twin of costume #15 – Segmented surface. 3D MODEL

description: The 3D models present segmented surfaces of digital twins of historical costumes. The initial surfaces which were generated by using computer simulations in Clo software is shown on the left. The segments of the surfaces are shown on the right. Those represent areas controlled by parameters that are chosen subjectively divided into three categories, seams, edges and surfaces. The models aim to indicate uncertain areas of the garment resulting from limitations inherent to computer simulations.

The authors thank prof. Victor Kuzmichev and the team from Ivanovo State Polytechnic University for providing data required for 3D modelling.

The authors of the 3D models are Aleksei Moskvin and Mariia Moskvina (Saint Petersburg State University of Industrial Technologies and Design): 

https://sutd-ru.academia.edu/AlekseiMoskvin

https://independent.academia.edu/MariiaMoskvina

The 3D model is available at: https://skfb.ly/psSEO
DOI: 10.5281/zenodo.17264788
title: Digital twin of costume #16 – Segmented surface. 3D MODEL

description: The 3D models present segmented surfaces of digital twins of historical costumes. The initial surfaces which were generated by using computer simulations in Clo software is shown on the left. The segments of the surfaces are shown on the right. Those represent areas controlled by parameters that are chosen subjectively divided into three categories, seams, edges and surfaces. The models aim to indicate uncertain areas of the garment resulting from limitations inherent to computer simulations.

The authors thank prof. Victor Kuzmichev and the team from Ivanovo State Polytechnic University for providing data required for 3D modelling.

The authors of the 3D models are Aleksei Moskvin and Mariia Moskvina (Saint Petersburg State University of Industrial Technologies and Design): 

https://sutd-ru.academia.edu/AlekseiMoskvin

https://independent.academia.edu/MariiaMoskvina

The 3D model is available at: https://skfb.ly/psSLv
DOI: 10.5281/zenodo.17264789
title: Digital twin of costume #16 – Segmented surface. 3D MODEL

description: The 3D models present segmented surfaces of digital twins of historical costumes. The initial surfaces which were generated by using computer simulations in Clo software is shown on the left. The segments of the surfaces are shown on the right. Those represent areas controlled by parameters that are chosen subjectively divided into three categories, seams, edges and surfaces. The models aim to indicate uncertain areas of the garment resulting from limitations inherent to computer simulations.

The authors thank prof. Victor Kuzmichev and the team from Ivanovo State Polytechnic University for providing data required for 3D modelling.

The authors of the 3D models are Aleksei Moskvin and Mariia Moskvina (Saint Petersburg State University of Industrial Technologies and Design): 

https://sutd-ru.academia.edu/AlekseiMoskvin

https://independent.academia.edu/MariiaMoskvina

The 3D model is available at: https://skfb.ly/psSLv
DOI: 10.5281/zenodo.17264790
title: Digital twin of costume #17 – Segmented surface. 3D MODEL

description: The 3D models present segmented surfaces of digital twins of historical costumes. The initial surfaces which were generated by using computer simulations in Clo software is shown on the left. The segments of the surfaces are shown on the right. Those represent areas controlled by parameters that are chosen subjectively divided into three categories, seams, edges and surfaces. The models aim to indicate uncertain areas of the garment resulting from limitations inherent to computer simulations.

The authors thank prof. Victor Kuzmichev and the team from Ivanovo State Polytechnic University for providing data required for 3D modelling.

The authors of the 3D models are Aleksei Moskvin and Mariia Moskvina (Saint Petersburg State University of Industrial Technologies and Design): 

https://sutd-ru.academia.edu/AlekseiMoskvin

https://independent.academia.edu/MariiaMoskvina

The 3D model is available at: https://skfb.ly/psSLw
DOI: 10.5281/zenodo.17264791
title: Digital twin of costume #17 – Segmented surface. 3D MODEL

description: The 3D models present segmented surfaces of digital twins of historical costumes. The initial surfaces which were generated by using computer simulations in Clo software is shown on the left. The segments of the surfaces are shown on the right. Those represent areas controlled by parameters that are chosen subjectively divided into three categories, seams, edges and surfaces. The models aim to indicate uncertain areas of the garment resulting from limitations inherent to computer simulations.

The authors thank prof. Victor Kuzmichev and the team from Ivanovo State Polytechnic University for providing data required for 3D modelling.

The authors of the 3D models are Aleksei Moskvin and Mariia Moskvina (Saint Petersburg State University of Industrial Technologies and Design): 

https://sutd-ru.academia.edu/AlekseiMoskvin

https://independent.academia.edu/MariiaMoskvina

The 3D model is available at: https://skfb.ly/psSLw
DOI: 10.5281/zenodo.17264792
title: Digital twin of costume #18 – Segmented surface. 3D MODEL

description: The 3D models present segmented surfaces of digital twins of historical costumes. The initial surfaces which were generated by using computer simulations in Clo software is shown on the left. The segments of the surfaces are shown on the right. Those represent areas controlled by parameters that are chosen subjectively divided into three categories, seams, edges and surfaces. The models aim to indicate uncertain areas of the garment resulting from limitations inherent to computer simulations.

The authors thank prof. Victor Kuzmichev and the team from Ivanovo State Polytechnic University for providing data required for 3D modelling.

The authors of the 3D models are Aleksei Moskvin and Mariia Moskvina (Saint Petersburg State University of Industrial Technologies and Design): 

https://sutd-ru.academia.edu/AlekseiMoskvin

https://independent.academia.edu/MariiaMoskvina

The 3D model is available at: https://skfb.ly/psSLx
DOI: 10.5281/zenodo.17264793
title: Digital twin of costume #18 – Segmented surface. 3D MODEL

description: The 3D models present segmented surfaces of digital twins of historical costumes. The initial surfaces which were generated by using computer simulations in Clo software is shown on the left. The segments of the surfaces are shown on the right. Those represent areas controlled by parameters that are chosen subjectively divided into three categories, seams, edges and surfaces. The models aim to indicate uncertain areas of the garment resulting from limitations inherent to computer simulations.

The authors thank prof. Victor Kuzmichev and the team from Ivanovo State Polytechnic University for providing data required for 3D modelling.

The authors of the 3D models are Aleksei Moskvin and Mariia Moskvina (Saint Petersburg State University of Industrial Technologies and Design): 

https://sutd-ru.academia.edu/AlekseiMoskvin

https://independent.academia.edu/MariiaMoskvina

The 3D model is available at: https://skfb.ly/psSLx
DOI: 10.26023/adwj-bmb5-gz0f
title: MILAGRO: Mobile Units Time Series (CO, NO2, O3, PM10, SO2) Imagery. Version 1.0

description: This dataset contains mobile unit time series imagery of CO, NO2, O3, PM10, and SO2 collected during the MILAGRO field project.
DOI: 10.15468/dl.jp2ybg
title: Occurrence Download

description: A dataset containing 4643 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Styrax americanus"
 ]
}

 The dataset includes 4643 records from 162 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045863-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d65bm7
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Caulerpa prolifera",
 "Country is Egypt",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045864-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w57d9j
title: Occurrence Download

description: A dataset containing 84 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Caulerpa prolifera",
 "Country is Portugal",
 "HasCoordinate is true"
 ]
}

 The dataset includes 84 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045865-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26023/x37j-8fhv-m00d
title: MILAGRO: Mobile Units Time Series (CO, NO2, O3, PM10, SO2) 15 Minute Average Imagery. Version 1.0

description: This dataset contains 15 minute average mobile unit time series imagery of CO, NO2, O3, PM10, and SO2 collected during the MILAGRO field project.
DOI: 10.26023/19as-3xwk-h40z
title: MILAGRO: GOES-12 1KM Satellite Imagery. Version 1.0

description: This dataset contains 1KM satellite imagery from the GOES-12 satellite collected during the MILAGRO field project.
DOI: 10.15468/dl.s5cfsa
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ixora capitulifera"
 ]
}

 The dataset includes 8 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045866-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17264822
title: Digital twin of costume #19 – Segmented surface. 3D MODEL

description: The 3D models present segmented surfaces of digital twins of historical costumes. The initial surfaces which were generated by using computer simulations in Clo software is shown on the left. The segments of the surfaces are shown on the right. Those represent areas controlled by parameters that are chosen subjectively divided into three categories, seams, edges and surfaces. The models aim to indicate uncertain areas of the garment resulting from limitations inherent to computer simulations.

The authors thank prof. Victor Kuzmichev and the team from Ivanovo State Polytechnic University for providing data required for 3D modelling.

The authors of the 3D models are Aleksei Moskvin and Mariia Moskvina (Saint Petersburg State University of Industrial Technologies and Design): 

https://sutd-ru.academia.edu/AlekseiMoskvin

https://independent.academia.edu/MariiaMoskvina

The 3D model is available at: https://skfb.ly/psSLy
DOI: 10.5281/zenodo.17264823
title: Digital twin of costume #19 – Segmented surface. 3D MODEL

description: The 3D models present segmented surfaces of digital twins of historical costumes. The initial surfaces which were generated by using computer simulations in Clo software is shown on the left. The segments of the surfaces are shown on the right. Those represent areas controlled by parameters that are chosen subjectively divided into three categories, seams, edges and surfaces. The models aim to indicate uncertain areas of the garment resulting from limitations inherent to computer simulations.

The authors thank prof. Victor Kuzmichev and the team from Ivanovo State Polytechnic University for providing data required for 3D modelling.

The authors of the 3D models are Aleksei Moskvin and Mariia Moskvina (Saint Petersburg State University of Industrial Technologies and Design): 

https://sutd-ru.academia.edu/AlekseiMoskvin

https://independent.academia.edu/MariiaMoskvina

The 3D model is available at: https://skfb.ly/psSLy
DOI: 10.15468/dl.83yx6z
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Hechtia montis-frigidi",
 "Country is Mexico",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045856-250920141307145/datasets/export for details.