cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8164639
title: Deep learning low-cost photogrammetry for 4D short-term glacier dynamics monitoring - Supplementary material

description: This repository contains the supplementary material for the paper "Deep learning low-cost photogrammetry for 4D short-term glacier dynamics monitoring".
The paper is currently under revision. This repository will be updated once the paper will be published.
In particular the repository includes:

The datasets used for performing the multi-temporal stereoscopic analysis of the Belvedere Glacier during the summer season 2022.
The code of ICEpy4D v1.9.0 used for processing the stereoscopic data. An updated version of ICEpy4D can be found in the Github repository https://github.com/franioli/icepy4d
DOI: 10.5281/zenodo.8164638
title: Deep learning low-cost photogrammetry for 4D short-term glacier dynamics monitoring - Supplementary material

description: This repository contains the supplementary material for the paper "Deep learning low-cost photogrammetry for 4D short-term glacier dynamics monitoring".
The paper is currently under revision. This repository will be updated once the paper will be published.
In particular the repository includes:

The datasets used for performing the multi-temporal stereoscopic analysis of the Belvedere Glacier during the summer season 2022.
The code of ICEpy4D v1.9.0 used for processing the stereoscopic data. An updated version of ICEpy4D can be found in the Github repository https://github.com/franioli/icepy4d
DOI: 10.6073/pasta/b324ad3d7558943e28435ff8dcea6527
title: Massachusetts Historical Landcover and Census Data 1640-1999

description: An appreciation of historical landuse and its effects is crucial when interpreting the structure, composition, and spatial characteristics of modern forests. The Harvard Forest has compiled many different historical data sources in an ongoing effort to understand how anthropogenic disturbances have shaped our modern landscapes. Estimates of town land use and land cover were gathered from a variety of sources, including tax valuations (1801-1860) and state agricultural census records (1865-1905). Data prior to 1801 rarely cover the entire state and are excluded from these datasets. Data on forest structure are available for several time periods, including 1885 and 1895 (Agricultural Censuses) and 1916-1920s (State Forester’s reports).
DOI: 10.6084/m9.figshare.24681261
title: Supporting Information for "<i>Ground State Orbital Analysis Predicts S</i><sub><em>1</em></sub><i> </i><i>Charge Transfer in Donor–Acceptor Materials</i>"

description: Within this directory, you will find two primary folders: "xyz_files" and "TD_and_NBO_Files," along with a Python function template named "Similarity_Metric_Function_template.py."<br>1. xyz_files Folder:- This folder comprises 29 subfolders, each named after specific dimer systems.- Within each dimer subfolder, you'll find XYZ files containing structural information for the dimer, its constituent monomers, and the experimental structure (when available)<br>2. TD_and_NBO_Files Folder:- This directory also contains 29 subfolders named after distinct dimer systems.- The dimer subfolders within "TD_and_NBO_Files" have Gaussian output files resulting from TDDFT (Time-Dependent Density Functional Theory) calculations.- These output files include NBO (Natural Bond Orbital) analysis data.<br>3. Similarity_Metric_Function_template.py:- This Python file serves as a template for a function designed to calculate a similarity metric.- It outlines the structure and components necessary for computing the similarity metric, providing a starting point for users to implement this functionality based on their specific requirements.
DOI: 10.5281/zenodo.10018967
title: 3D and multimodal X-ray microscopy reveals the impact of voids in CIGS solar cells

description: Data repository for the article "3D and multimodal X-ray microscopy reveals the impact of voids in CIGS solar cells"  DOI: 10.1002/advs.202301873
DOI: 10.5281/zenodo.10018968
title: 3D and multimodal X-ray microscopy reveals the impact of voids in CIGS solar cells

description: Data repository for the article "3D and multimodal X-ray microscopy reveals the impact of voids in CIGS solar cells"  DOI: 10.1002/advs.202301873
DOI: 10.6084/m9.figshare.20641467
title: Risk Factors for Legal Blindness in 77 Japanese Patients with Endogenous Endophthalmitis: A Multicenter Cohort Study from J-CREST

description: We investigated potential predictive factors for visual prognosis in Japanese patients with endogenous endophthalmitis. Retrospective observational multicenter cohort study. We examined the characteristics of 77 Japanese patients with endogenous endophthalmitis and performed statistical analyses of these real-world data. The primary endpoint was the identification of factors associated with visual prognosis. We examined differences between patients in the better vision and legal blindness groups at 12 weeks after treatment initiation. The five risk factors for visual impairment at 12 weeks after treatment initiation were presence of pressure injuries, severe clinical symptoms (presence of eye pain and ciliary injection), pathogen identification, and poor best-corrected visual acuity at baseline. <i>Staphylococcus aureus</i> and fungus were associated with a better visual impairment outcome. Endogenous endophthalmitis remains a severe ocular infection; however, it can be managed with rapid treatments, as well as other advances in medical knowledge and technology.
DOI: 10.6084/m9.figshare.20641467.v1
title: Risk Factors for Legal Blindness in 77 Japanese Patients with Endogenous Endophthalmitis: A Multicenter Cohort Study from J-CREST

description: We investigated potential predictive factors for visual prognosis in Japanese patients with endogenous endophthalmitis. Retrospective observational multicenter cohort study. We examined the characteristics of 77 Japanese patients with endogenous endophthalmitis and performed statistical analyses of these real-world data. The primary endpoint was the identification of factors associated with visual prognosis. We examined differences between patients in the better vision and legal blindness groups at 12 weeks after treatment initiation. The five risk factors for visual impairment at 12 weeks after treatment initiation were presence of pressure injuries, severe clinical symptoms (presence of eye pain and ciliary injection), pathogen identification, and poor best-corrected visual acuity at baseline. <i>Staphylococcus aureus</i> and fungus were associated with a better visual impairment outcome. Endogenous endophthalmitis remains a severe ocular infection; however, it can be managed with rapid treatments, as well as other advances in medical knowledge and technology.
DOI: 10.5281/zenodo.10008349
title: Dataset for: A continuous classification of the 480,000 lakes of the conterminous US based on geographic archetypes

description: These datasets were used in a journal article with the goal of developing a new geographic classification approach for ~480,000 lakes ≥ 1 ha in the conterminous U.S. based on archetypes defined as endmembers with distinct combinations of climate, hydrologic, geologic, topographic, and morphometric properties. We identified seven lake archetypes; each study lake was then assigned weights for each of the archetypes. The data used to develop the archetypes, archetype weights, and variables used in associated analyses is provided in three data tables. The first includes the lake-specific transformed predictors used to generate the seven archetypes, the weights corresponding to each archetype, the archetype with the maximum weight and the weight of that maximum archetype. The second provides lake-specific raw values for each predictor and for the 19 response variables used to explore aspects of the archetype classification. The final metadata table provides a data dictionary for all columns in the previously mentioned data tables.
DOI: 10.5281/zenodo.10008350
title: Dataset for: A continuous classification of the 480,000 lakes of the conterminous US based on geographic archetypes

description: These datasets were used in a journal article with the goal of developing a new geographic classification approach for ~480,000 lakes ≥ 1 ha in the conterminous U.S. based on archetypes defined as endmembers with distinct combinations of climate, hydrologic, geologic, topographic, and morphometric properties. We identified seven lake archetypes; each study lake was then assigned weights for each of the archetypes. The data used to develop the archetypes, archetype weights, and variables used in associated analyses is provided in three data tables. The first includes the lake-specific transformed predictors used to generate the seven archetypes, the weights corresponding to each archetype, the archetype with the maximum weight and the weight of that maximum archetype. The second provides lake-specific raw values for each predictor and for the 19 response variables used to explore aspects of the archetype classification. The final metadata table provides a data dictionary for all columns in the previously mentioned data tables.
DOI: 10.18112/openneuro.ds004141.v1.0.2
title: Targeting Dynamic Facial Processing Mechanisms in Superior Temporal Sulcus Using fMRI Neurofeedback
DOI: 10.5281/zenodo.10231188
title: DATA for Nano Ranking Analysis: determining NPF event occurrence and intensity based on the concentration spectrum of formed (sub-5 nm) particles

description: data used for: 
Nano Ranking Analysis: determining NPF event occurrence and intensity based on the concentration spectrum of formed (sub-5 nm) particles
https://doi.org/10.5194/ar-2023-5
DOI: 10.5281/zenodo.10231189
title: DATA for Nano Ranking Analysis: determining NPF event occurrence and intensity based on the concentration spectrum of formed (sub-5 nm) particles

description: data used for: 
Nano Ranking Analysis: determining NPF event occurrence and intensity based on the concentration spectrum of formed (sub-5 nm) particles
https://doi.org/10.5194/ar-2023-5
DOI: 10.5290/2250021
title: Low cycle fatigue - load control test data for AISI 304L ar material at 300 °C (specimen identifier PSIair11)

description: INCEFA+ project
DOI: 10.5290/2250022
title: Low cycle fatigue - load control test data for AISI 304L ar material at 300 °C (specimen identifier PSIair14)

description: INCEFA+ project
DOI: 10.5290/2250023
title: Low cycle fatigue - load control test data for AISI 304L ar material at 300 °C (specimen identifier PSIair4)

description: INCEFA+ project
DOI: 10.5290/2250027
title: Low cycle fatigue - load control test data for AISI 304L ar material at 300 °C (specimen identifier PSIair12)

description: INCEFA+ project
DOI: 10.5290/2250028
title: Low cycle fatigue - load control test data for AISI 304L ar material at 300 °C (specimen identifier PSIair13)

description: INCEFA+ project
DOI: 10.5290/2250029
title: Low cycle fatigue - load control test data for AISI 304L ar material at 300 °C (specimen identifier PSIwater13)

description: INCEFA+ project
DOI: 10.5290/2250030
title: Low cycle fatigue - load control test data for AISI 304L ar material at 300 °C (specimen identifier PSIwater14)

description: INCEFA+ project
DOI: 10.5290/2250031
title: Low cycle fatigue - load control test data for AISI 304L ar material at 300 °C (specimen identifier PSIwater16)

description: INCEFA+ project
DOI: 10.5290/2250032
title: Low cycle fatigue - load control test data for AISI 304L ar material at 300 °C (specimen identifier PSIwater17)

description: INCEFA+ project
DOI: 10.5290/2440003
title: Low cycle fatigue - strain control test data for AISI 304L 304 AISI ar material at 300 °C (specimen identifier XEM02A)

description: AREVA NP SAS data collection made available as background to the Horizon 2020 INCEFA-PLUS project on increasing safety in NPPs by covering gaps in environmental fatigue assessment. This project has received funding from the Euratom research and training programme 2014-2018 under grant agreement No 662320.
DOI: 10.5290/2440004
title: Low cycle fatigue - strain control test data for AISI 304L 304 AISI ar material at 300 °C (specimen identifier NPC03A)

description: AREVA NP SAS data collection made available as background to the Horizon 2020 INCEFA-PLUS project on increasing safety in NPPs by covering gaps in environmental fatigue assessment. This project has received funding from the Euratom research and training programme 2014-2018 under grant agreement No 662320.
DOI: 10.5290/2210012
title: Low cycle fatigue - strain control test data for AISI 304L ar material at 300 °C (specimen identifier SC-16)

description: Data created at SCK•CEN during the Horizon 2020 INCEFA+ project on increasing safety in NPPs by covering gaps in environmental fatigue assessment. This project has received funding from the Euratom research and training programme 2014-2018 under grant agreement No 662320.
DOI: 10.5290/2210013
title: Low cycle fatigue - strain control test data for AISI 304L ar material at 300 °C (specimen identifier SC-20)

description: Data created at SCK•CEN during the Horizon 2020 INCEFA+ project on increasing safety in NPPs by covering gaps in environmental fatigue assessment. This project has received funding from the Euratom research and training programme 2014-2018 under grant agreement No 662320.
DOI: 10.5290/2210014
title: Low cycle fatigue - strain control test data for AISI 304L ar material at 300 °C (specimen identifier SC-23)

description: Data created at SCK•CEN during the Horizon 2020 INCEFA+ project on increasing safety in NPPs by covering gaps in environmental fatigue assessment. This project has received funding from the Euratom research and training programme 2014-2018 under grant agreement No 662320.
DOI: 10.5290/2210015
title: Low cycle fatigue - strain control test data for AISI 304L ar material at 300 °C (specimen identifier SC-31)

description: Data created at SCK•CEN during the Horizon 2020 INCEFA+ project on increasing safety in NPPs by covering gaps in environmental fatigue assessment. This project has received funding from the Euratom research and training programme 2014-2018 under grant agreement No 662320.
DOI: 10.5290/2210017
title: Low cycle fatigue - strain control test data for AISI 304L ar material at 300 °C (specimen identifier SC-25)

description: Data created at SCK•CEN during the Horizon 2020 INCEFA+ project on increasing safety in NPPs by covering gaps in environmental fatigue assessment. This project has received funding from the Euratom research and training programme 2014-2018 under grant agreement No 662320.
DOI: 10.5290/2210018
title: Low cycle fatigue - strain control test data for AISI 304L ar material at 300 °C (specimen identifier SC-26)

description: Data created at SCK•CEN during the Horizon 2020 INCEFA+ project on increasing safety in NPPs by covering gaps in environmental fatigue assessment. This project has received funding from the Euratom research and training programme 2014-2018 under grant agreement No 662320.
DOI: 10.5290/2210022
title: Low cycle fatigue - strain control test data for AISI 304L ar material at 230 °C (specimen identifier SC-28)

description: Data created at SCK•CEN during the Horizon 2020 INCEFA+ project on increasing safety in NPPs by covering gaps in environmental fatigue assessment. This project has received funding from the Euratom research and training programme 2014-2018 under grant agreement No 662320.
DOI: 10.5290/2210019
title: Low cycle fatigue - strain control test data for AISI 304L ar material at 230 °C (specimen identifier SC-30)

description: Data created at SCK•CEN during the Horizon 2020 INCEFA+ project on increasing safety in NPPs by covering gaps in environmental fatigue assessment. This project has received funding from the Euratom research and training programme 2014-2018 under grant agreement No 662320.
DOI: 10.5290/2210020
title: Low cycle fatigue - strain control test data for AISI 304L ar material at 230 °C (specimen identifier SC-33)

description: Data created at SCK•CEN during the Horizon 2020 INCEFA+ project on increasing safety in NPPs by covering gaps in environmental fatigue assessment. This project has received funding from the Euratom research and training programme 2014-2018 under grant agreement No 662320.
DOI: 10.5290/2210021
title: Low cycle fatigue - strain control test data for AISI 304L ar material at 230 °C (specimen identifier SC-34)

description: Data created at SCK•CEN during the Horizon 2020 INCEFA+ project on increasing safety in NPPs by covering gaps in environmental fatigue assessment. This project has received funding from the Euratom research and training programme 2014-2018 under grant agreement No 662320.
DOI: 10.5290/2210024
title: Low cycle fatigue - strain control test data for AISI 304L ar material at 230 °C (specimen identifier SC-39)

description: Data created at SCK•CEN during the Horizon 2020 INCEFA+ project on increasing safety in NPPs by covering gaps in environmental fatigue assessment. This project has received funding from the Euratom research and training programme 2014-2018 under grant agreement No 662320.
DOI: 10.5290/2210025
title: Low cycle fatigue - strain control test data for AISI 304L ar material at 230 °C (specimen identifier SC-40)

description: Data created at SCK•CEN during the Horizon 2020 INCEFA+ project on increasing safety in NPPs by covering gaps in environmental fatigue assessment. This project has received funding from the Euratom research and training programme 2014-2018 under grant agreement No 662320.
DOI: 10.5290/2210026
title: Low cycle fatigue - strain control test data for AISI 304L ar material at 230 °C (specimen identifier SC-35)

description: Data created at SCK•CEN during the Horizon 2020 INCEFA+ project on increasing safety in NPPs by covering gaps in environmental fatigue assessment. This project has received funding from the Euratom research and training programme 2014-2018 under grant agreement No 662320.
DOI: 10.5290/2210027
title: Low cycle fatigue - strain control test data for AISI 304L ar material at 300 °C (specimen identifier SC-41)

description: Data created at SCK•CEN during the Horizon 2020 INCEFA+ project on increasing safety in NPPs by covering gaps in environmental fatigue assessment. This project has received funding from the Euratom research and training programme 2014-2018 under grant agreement No 662320.
DOI: 10.5290/2230002
title: Low cycle fatigue - strain control test data for AISI 304L ar material at 300 °C (specimen identifier LEI-2)

description: Data created at the Lithuanian Energy Institute (LEI) during the Horizon 2020 INCEFA+ project on increasing safety in NPPs by covering gaps in environmental fatigue assessment. This project has received funding from the Euratom research and training programme 2014-2018 under grant agreement No 662320.
DOI: 10.5290/2230003
title: Low cycle fatigue - strain control test data for AISI 304L ar material at 300 °C (specimen identifier LEI-3)

description: Data created at the Lithuanian Energy Institute (LEI) during the Horizon 2020 INCEFA+ project on increasing safety in NPPs by covering gaps in environmental fatigue assessment. This project has received funding from the Euratom research and training programme 2014-2018 under grant agreement No 662320.
DOI: 10.5290/2230004
title: Low cycle fatigue - strain control test data for AISI 304L ar material at 300 °C (specimen identifier LEI-6)

description: Data created at the Lithuanian Energy Institute (LEI) during the Horizon 2020 INCEFA+ project on increasing safety in NPPs by covering gaps in environmental fatigue assessment. This project has received funding from the Euratom research and training programme 2014-2018 under grant agreement No 662320.
DOI: 10.5290/2230005
title: Low cycle fatigue - strain control test data for AISI 304L ar material at 300 °C (specimen identifier LEI-8)

description: Data created at the Lithuanian Energy Institute (LEI) during the Horizon 2020 INCEFA+ project on increasing safety in NPPs by covering gaps in environmental fatigue assessment. This project has received funding from the Euratom research and training programme 2014-2018 under grant agreement No 662320.
DOI: 10.5290/2230006
title: Low cycle fatigue - strain control test data for AISI 304L ar material at 300 °C (specimen identifier LEI-7)

description: Data created at the Lithuanian Energy Institute (LEI) during the Horizon 2020 INCEFA+ project on increasing safety in NPPs by covering gaps in environmental fatigue assessment. This project has received funding from the Euratom research and training programme 2014-2018 under grant agreement No 662320.
DOI: 10.5290/2230007
title: Low cycle fatigue - strain control test data for AISI 304L ar material at 300 °C (specimen identifier LEI-11)

description: Data created at the Lithuanian Energy Institute (LEI) during the Horizon 2020 INCEFA+ project on increasing safety in NPPs by covering gaps in environmental fatigue assessment. This project has received funding from the Euratom research and training programme 2014-2018 under grant agreement No 662320.
DOI: 10.5290/2230008
title: Low cycle fatigue - strain control test data for AISI 304L ar material at 300 °C (specimen identifier LEI-14)

description: Data created at the Lithuanian Energy Institute (LEI) during the Horizon 2020 INCEFA+ project on increasing safety in NPPs by covering gaps in environmental fatigue assessment. This project has received funding from the Euratom research and training programme 2014-2018 under grant agreement No 662320.
DOI: 10.5290/2230009
title: Low cycle fatigue - strain control test data for AISI 304L ar material at 300 °C (specimen identifier LEI-15)

description: Data created at the Lithuanian Energy Institute (LEI) during the Horizon 2020 INCEFA+ project on increasing safety in NPPs by covering gaps in environmental fatigue assessment. This project has received funding from the Euratom research and training programme 2014-2018 under grant agreement No 662320.
DOI: 10.5290/2230012
title: Low cycle fatigue - strain control test data for AISI 304L ar material at 26 °C (specimen identifier LEI-20)

description: Data created at the Lithuanian Energy Institute (LEI) during the Horizon 2020 INCEFA+ project on increasing safety in NPPs by covering gaps in environmental fatigue assessment. This project has received funding from the Euratom research and training programme 2014-2018 under grant agreement No 662320.
DOI: 10.5290/2230013
title: Low cycle fatigue - strain control test data for AISI 304L ar material at 25 °C (specimen identifier LEI-21)

description: Data created at the Lithuanian Energy Institute (LEI) during the Horizon 2020 INCEFA+ project on increasing safety in NPPs by covering gaps in environmental fatigue assessment. This project has received funding from the Euratom research and training programme 2014-2018 under grant agreement No 662320.
DOI: 10.5290/2230014
title: Low cycle fatigue - strain control test data for AISI 304L ar material at 300 °C (specimen identifier LEI-22)

description: Data created at the Lithuanian Energy Institute (LEI) during the Horizon 2020 INCEFA+ project on increasing safety in NPPs by covering gaps in environmental fatigue assessment. This project has received funding from the Euratom research and training programme 2014-2018 under grant agreement No 662320.
DOI: 10.5290/2230015
title: Low cycle fatigue - strain control test data for AISI 304L ar material at 300 °C (specimen identifier LEI-19)

description: Data created at the Lithuanian Energy Institute (LEI) during the Horizon 2020 INCEFA+ project on increasing safety in NPPs by covering gaps in environmental fatigue assessment. This project has received funding from the Euratom research and training programme 2014-2018 under grant agreement No 662320.