cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25582/data.2022-05.2515610/2124156
title: Data for EMSL Project 51287 from May 2022
DOI: 10.25582/data.2022-05.2517116/2124157
title: Data for EMSL Project 51287 from May 2022
DOI: 10.25582/data.2022-05.2515188/2124158
title: Data for EMSL Project 51287 from May 2022
DOI: 10.25582/data.2022-05.2521765/2124159
title: Data for EMSL Project 51287 from May 2022
DOI: 10.25582/data.2022-05.2519301/2124160
title: Data for EMSL Project 51287 from May 2022
DOI: 10.25582/data.2022-05.2515357/2124161
title: Data for EMSL Project 51287 from May 2022
DOI: 10.25582/data.2022-05.2513420/2124162
title: Data for EMSL Project 51287 from May 2022
DOI: 10.25582/data.2022-05.2519428/2124163
title: Data for EMSL Project 51287 from May 2022
DOI: 10.25582/data.2022-05.2513203/2124164
title: Data for EMSL Project 51287 from May 2022
DOI: 10.25582/data.2022-05.2516622/2124165
title: Data for EMSL Project 51287 from May 2022
DOI: 10.25582/data.2022-05.2519363/2124166
title: Data for EMSL Project 51287 from May 2022
DOI: 10.25582/data.2022-05.2517031/2124167
title: Data for EMSL Project 51287 from May 2022
DOI: 10.25582/data.2022-05.2519444/2124168
title: Data for EMSL Project 51287 from May 2022
DOI: 10.25582/data.2022-05.2519415/2124169
title: Data for EMSL Project 51287 from May 2022
DOI: 10.25582/data.2022-05.2515773/2124170
title: Data for EMSL Project 51287 from May 2022
DOI: 10.25582/data.2022-05.2519262/2124171
title: Data for EMSL Project 51287 from May 2022
DOI: 10.25582/data.2022-05.2515768/2124172
title: Data for EMSL Project 51287 from May 2022
DOI: 10.25582/data.2022-05.2519563/2124173
title: Data for EMSL Project 51287 from May 2022
DOI: 10.25582/data.2022-05.2517516/2124174
title: Data for EMSL Project 51287 from May 2022
DOI: 10.25582/data.2022-05.2519562/2124175
title: Data for EMSL Project 51287 from May 2022
DOI: 10.25582/data.2022-05.2519558/2124176
title: Data for EMSL Project 51287 from May 2022
DOI: 10.25582/data.2022-05.2515382/2124177
title: Data for EMSL Project 51287 from May 2022
DOI: 10.25582/data.2022-05.2514407/2124178
title: Data for EMSL Project 51287 from May 2022
DOI: 10.25582/data.2022-05.2517683/2124179
title: Data for EMSL Project 51287 from May 2022
DOI: 10.25582/data.2022-05.2517134/2124180
title: Data for EMSL Project 51287 from May 2022
DOI: 10.6084/m9.figshare.24419941
title: Supplementary tables.xlsx

description: Supplementary Table from chapter 3.
DOI: 10.6084/m9.figshare.24419941.v1
title: Supplementary tables.xlsx

description: Supplementary Table from chapter 3.
DOI: 10.25582/data.2022-05.2519586/2124181
title: Data for EMSL Project 51287 from May 2022
DOI: 10.25582/data.2022-05.2518464/2124182
title: Data for EMSL Project 51287 from May 2022
DOI: 10.25582/data.2022-05.2521781/2124183
title: Data for EMSL Project 51287 from May 2022
DOI: 10.25582/data.2022-05.2519359/2124184
title: Data for EMSL Project 51287 from May 2022
DOI: 10.25582/data.2022-05.2516364/2124185
title: Data for EMSL Project 51287 from May 2022
DOI: 10.25582/data.2022-05.2518168/2124186
title: Data for EMSL Project 51287 from May 2022
DOI: 10.25582/data.2022-05.2521740/2124187
title: Data for EMSL Project 51287 from May 2022
DOI: 10.25582/data.2022-05.2519470/2124188
title: Data for EMSL Project 51287 from May 2022
DOI: 10.25582/data.2022-05.2519402/2124189
title: Data for EMSL Project 51287 from May 2022
DOI: 10.25582/data.2022-05.2517036/2124190
title: Data for EMSL Project 51287 from May 2022
DOI: 10.25582/data.2022-05.2516381/2124191
title: Data for EMSL Project 51287 from May 2022
DOI: 10.25582/data.2022-05.2521776/2124192
title: Data for EMSL Project 51287 from May 2022
DOI: 10.25582/data.2022-05.2521759/2124193
title: Data for EMSL Project 51287 from May 2022
DOI: 10.25582/data.2022-05.2515745/2124194
title: Data for EMSL Project 51287 from May 2022
DOI: 10.25582/data.2022-05.2519620/2124195
title: Data for EMSL Project 51287 from May 2022
DOI: 10.25582/data.2022-05.2521761/2124196
title: Data for EMSL Project 51287 from May 2022
DOI: 10.25582/data.2022-05.2515851/2124197
title: Data for EMSL Project 51287 from May 2022
DOI: 10.25582/data.2022-05.2518594/2124198
title: Data for EMSL Project 51287 from May 2022
DOI: 10.25582/data.2022-05.2517630/2124199
title: Data for EMSL Project 51287 from May 2022
DOI: 10.25582/data.2022-05.2519356/2124200
title: Data for EMSL Project 51287 from May 2022
DOI: 10.25582/data.2022-05.2518192/2124201
title: Data for EMSL Project 51287 from May 2022
DOI: 10.25582/data.2022-05.2515402/2124202
title: Data for EMSL Project 51287 from May 2022
DOI: 10.25582/data.2022-05.2513979/2124203
title: Data for EMSL Project 51287 from May 2022
DOI: 10.25582/data.2022-05.2521731/2124204
title: Data for EMSL Project 51287 from May 2022
DOI: 10.25582/data.2022-05.2515886/2124205
title: Data for EMSL Project 51287 from May 2022
DOI: 10.25582/data.2022-05.2515783/2124206
title: Data for EMSL Project 51287 from May 2022
DOI: 10.25582/data.2022-05.2517402/2124207
title: Data for EMSL Project 51287 from May 2022
DOI: 10.25582/data.2022-05.2519584/2124208
title: Data for EMSL Project 51287 from May 2022
DOI: 10.25582/data.2022-05.2517736/2124209
title: Data for EMSL Project 51287 from May 2022
DOI: 10.25582/data.2022-05.2521768/2124210
title: Data for EMSL Project 51287 from May 2022
DOI: 10.25582/data.2022-05.2514573/2124211
title: Data for EMSL Project 51287 from May 2022
DOI: 10.25582/data.2022-05.2519276/2124212
title: Data for EMSL Project 51287 from May 2022
DOI: 10.25582/data.2022-05.2516365/2124213
title: Data for EMSL Project 51287 from May 2022
DOI: 10.25582/data.2022-05.2515356/2124214
title: Data for EMSL Project 51287 from May 2022
DOI: 10.25582/data.2022-05.2507846/2124215
title: Data for EMSL Project 51287 from May 2022
DOI: 10.25582/data.2022-05.2511732/2124216
title: Data for EMSL Project 51287 from May 2022
DOI: 10.25582/data.2022-05.2509620/2124217
title: Data for EMSL Project 51287 from May 2022
DOI: 10.25582/data.2022-05.2508477/2124218
title: Data for EMSL Project 51287 from May 2022
DOI: 10.25582/data.2022-05.2514134/2124219
title: Data for EMSL Project 51287 from May 2022
DOI: 10.25582/data.2022-05.2513079/2124220
title: Data for EMSL Project 51287 from May 2022
DOI: 10.25582/data.2022-05.2512415/2124221
title: Data for EMSL Project 51287 from May 2022
DOI: 10.25582/data.2022-05.2507775/2124222
title: Data for EMSL Project 51287 from May 2022
DOI: 10.25582/data.2022-05.2511116/2124223
title: Data for EMSL Project 51287 from May 2022
DOI: 10.25582/data.2022-05.2511032/2124224
title: Data for EMSL Project 51287 from May 2022
DOI: 10.25582/data.2022-05.2511720/2124225
title: Data for EMSL Project 51287 from May 2022
DOI: 10.25582/data.2022-05.2509550/2124226
title: Data for EMSL Project 51287 from May 2022
DOI: 10.25582/data.2022-05.2507715/2124227
title: Data for EMSL Project 51287 from May 2022
DOI: 10.25582/data.2022-05.2513068/2124228
title: Data for EMSL Project 51287 from May 2022
DOI: 10.25582/data.2022-05.2507842/2124229
title: Data for EMSL Project 51287 from May 2022
DOI: 10.25582/data.2022-05.2507765/2124230
title: Data for EMSL Project 51287 from May 2022
DOI: 10.25582/data.2022-05.2514376/2124231
title: Data for EMSL Project 51287 from May 2022
DOI: 10.25582/data.2022-05.2512381/2124232
title: Data for EMSL Project 51287 from May 2022
DOI: 10.25582/data.2022-05.2511857/2124233
title: Data for EMSL Project 51287 from May 2022
DOI: 10.25582/data.2022-05.2508020/2124234
title: Data for EMSL Project 51287 from May 2022
DOI: 10.25582/data.2022-05.2511080/2124235
title: Data for EMSL Project 51287 from May 2022
DOI: 10.25582/data.2022-05.2510775/2124236
title: Data for EMSL Project 51287 from May 2022
DOI: 10.25582/data.2022-05.2513097/2124237
title: Data for EMSL Project 51287 from May 2022
DOI: 10.25582/data.2022-05.2510789/2124238
title: Data for EMSL Project 51287 from May 2022
DOI: 10.25582/data.2022-05.2511164/2124239
title: Data for EMSL Project 51287 from May 2022
DOI: 10.5517/ccdc.csd.cc2dq0dk
title: CCDC 2225688: Experimental Crystal Structure Determination

description: Related Article: Youming Si, Yingdong Zhao, Guangyue Shi, Danhong Zhou, Feng Luo, Pengzhong Chen, Jiangli Fan, Xiaojun Peng|2023|J.Mater.Chem.A|11|4801|doi:10.1039/D3TA00115F
description: Related Article: youming Si|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.34740/kaggle/dsv/6769946
title: 📒 Meta Kaggle ported to MS SQL SERVER 2022 DB
DOI: 10.5281/zenodo.10009428
title: German Gaming Magazines Sales Data 1980-2000

description: A data set that collects sales and distribution data of seventeen German gaming magazines 1980-2000, based on the print run lists ("Auflagelisten") published by the Informationsgemeinschaft zur Feststellung der Verbreitung von Werbeträgern (Information Community for the Assessment of the Circulation of Media – IVW). More information on the dataset and its structure can be found here: https://chludens.hypotheses.org/1228
DOI: 10.5281/zenodo.10009427
title: German Gaming Magazines Sales Data 1980-2000

description: A data set that collects sales and distribution data of seventeen German gaming magazines 1980-2000, based on the print run lists ("Auflagelisten") published by the Informationsgemeinschaft zur Feststellung der Verbreitung von Werbeträgern (Information Community for the Assessment of the Circulation of Media – IVW). More information on the dataset and its structure can be found here: https://chludens.hypotheses.org/1228
DOI: 10.34740/kaggle/dsv/6770057
title: Dubai Cypto Currency Price Database
DOI: 10.4121/1e366361-7ee4-43d6-a784-31524bdef98a
title: Data underlying the publication "Comfort and discomfort during smartphone use on a bed".

description: People use a smartphone while sitting on the sofa, lying on a bed or riding on a train or an airplane. Using a smartphone for a long period could lead to musculoskeletal disorders mainly in the neck, upper and lower back, shoulders and arms. Not only are seats installed in vehicles, but beds are also in trains, airplanes and ships. This paper focuses on smartphone use on a bed. Such use is not preferable because the literature review showed that intraocular pressure is higher in the supine than in the sitting position (Vera et al., 2020), but in practice, people will use their smartphones in bed. In those cases, a good backrest angle is preferred. This is the topic of this chapter.
DOI: 10.4121/1e366361-7ee4-43d6-a784-31524bdef98a.v1
title: Data underlying the publication "Comfort and discomfort during smartphone use on a bed".

description: People use a smartphone while sitting on the sofa, lying on a bed or riding on a train or an airplane. Using a smartphone for a long period could lead to musculoskeletal disorders mainly in the neck, upper and lower back, shoulders and arms. Not only are seats installed in vehicles, but beds are also in trains, airplanes and ships. This paper focuses on smartphone use on a bed. Such use is not preferable because the literature review showed that intraocular pressure is higher in the supine than in the sitting position (Vera et al., 2020), but in practice, people will use their smartphones in bed. In those cases, a good backrest angle is preferred. This is the topic of this chapter.
DOI: 10.4121/73248d49-e2f1-4427-9234-21ea59c15a94
title: Data underlying the publication "Passenger Activities, Postures, Dis(Comfort) Perception, and Needs During Train Travel "

description: This study aims to collect data on the activities, postures, dis(comfort), and needs of train passengers. Observations in the trains and questionnaires completed by train passengers were used. The online questionnaire was completed using the smartphone of the passengers during the train trip. The most often observed activity of the passengers was using a smartphone while travelling. They used a smartphone to listen to music, chat or type, look at a video or picture, and to read. Most passengers reported that they hold a smartphone with both hands and used a smartphone with the right hand. The thigh support and the armrests of the seat showed the lowest comfort and certainly have room for improvement. Future research could be considered to design the seat to increase passenger comfort while using a smartphone.
DOI: 10.4121/73248d49-e2f1-4427-9234-21ea59c15a94.v1
title: Data underlying the publication "Passenger Activities, Postures, Dis(Comfort) Perception, and Needs During Train Travel "

description: This study aims to collect data on the activities, postures, dis(comfort), and needs of train passengers. Observations in the trains and questionnaires completed by train passengers were used. The online questionnaire was completed using the smartphone of the passengers during the train trip. The most often observed activity of the passengers was using a smartphone while travelling. They used a smartphone to listen to music, chat or type, look at a video or picture, and to read. Most passengers reported that they hold a smartphone with both hands and used a smartphone with the right hand. The thigh support and the armrests of the seat showed the lowest comfort and certainly have room for improvement. Future research could be considered to design the seat to increase passenger comfort while using a smartphone.
DOI: 10.4121/498cd75b-c907-4e05-a7b1-5ec4704b5718
title: Literature review on seat comfort during smartphone use in public transport systems

description: Smartphone use in public transport systems increased from 8% to 48% from the years 2014 to 2018. Smartphones are often used while the users are seated. However, seats are often not designed for this activity. Smartphone use while seated could cause discomfort, especially in the upper limbs, back and neck, and could lead to musculoskeletal disorders (MSDs). This systematic review summarizes smartphone use with attention to the activities done, durations, postures, characteristics of the human body, discomfort experience and needs of the users, with special attention for vehicle seats. In addition, potential improvements of the seat are reviewed. In all, 185 articles were collected from the Scopus and Pub-Med databases. The abstracts were screened by two researchers and then compared and discussed based on a set of inclusion criteria. Forty-five publications met the criteria, and five were added because the authors were familiar with them. The literature shows that the smartphone is often used with two hands, sometimes with the elbows on an armrest. Smartphone use influences discomfort, which mainly occurs in the neck and back. To improve the neck and back positions, the armrest should be at the correct height. Using a smartphone with proper arm support might prevent neck and back pain. The number of studies on smartphone use while travelling is limited. Most studies are conducted in the laboratory, at home or the office. Many papers state that neck bending should be prevented, and smartphone usage time should be limited. Some studies mention that the preferred angle of the backrest for smartphone use is 120 degrees in an aircraft seat and an arm support should be added. Further research is needed on this point, especially for other vehicles. In future studies, redesigned seats should be tested by smartphone users. The redesign can be based on the first design directions presented in this paper.
DOI: 10.4121/498cd75b-c907-4e05-a7b1-5ec4704b5718.v1
title: Literature review on seat comfort during smartphone use in public transport systems

description: Smartphone use in public transport systems increased from 8% to 48% from the years 2014 to 2018. Smartphones are often used while the users are seated. However, seats are often not designed for this activity. Smartphone use while seated could cause discomfort, especially in the upper limbs, back and neck, and could lead to musculoskeletal disorders (MSDs). This systematic review summarizes smartphone use with attention to the activities done, durations, postures, characteristics of the human body, discomfort experience and needs of the users, with special attention for vehicle seats. In addition, potential improvements of the seat are reviewed. In all, 185 articles were collected from the Scopus and Pub-Med databases. The abstracts were screened by two researchers and then compared and discussed based on a set of inclusion criteria. Forty-five publications met the criteria, and five were added because the authors were familiar with them. The literature shows that the smartphone is often used with two hands, sometimes with the elbows on an armrest. Smartphone use influences discomfort, which mainly occurs in the neck and back. To improve the neck and back positions, the armrest should be at the correct height. Using a smartphone with proper arm support might prevent neck and back pain. The number of studies on smartphone use while travelling is limited. Most studies are conducted in the laboratory, at home or the office. Many papers state that neck bending should be prevented, and smartphone usage time should be limited. Some studies mention that the preferred angle of the backrest for smartphone use is 120 degrees in an aircraft seat and an arm support should be added. Further research is needed on this point, especially for other vehicles. In future studies, redesigned seats should be tested by smartphone users. The redesign can be based on the first design directions presented in this paper.
DOI: 10.17608/k6.auckland.24420001
title: Data set of DREEM questionnnaire (Youhasan & Sathaananthan, 2016)

description: Data set of DREEM questionnnaire (Youhasan & Sathaananthan, 2016)
DOI: 10.17608/k6.auckland.24420001.v1
title: Data set of DREEM questionnnaire (Youhasan & Sathaananthan, 2016)

description: Data set of DREEM questionnnaire (Youhasan & Sathaananthan, 2016)
DOI: 10.25375/uct.24310360
title: Assumptions made when working with confiscations/policing effort data

description: Excel spreadsheets have been provided by Pedro Goosen (DAFF) which provide various recorded statistics for west coast rock lobster confiscations and policing effort. Data are reported for each month from April 2008 to March 2011. For each month various statistics relating to confiscations and different policing effort types are provided for a range of compliance stations. An example extract is provided as Appendix A. The list of compliance stations (and types of policing effort) increases somewhat over time, and statistics from various task teams are added e.g. “TT Kleimond”.
DOI: 10.25375/uct.24310360.v1
title: Assumptions made when working with confiscations/policing effort data

description: Excel spreadsheets have been provided by Pedro Goosen (DAFF) which provide various recorded statistics for west coast rock lobster confiscations and policing effort. Data are reported for each month from April 2008 to March 2011. For each month various statistics relating to confiscations and different policing effort types are provided for a range of compliance stations. An example extract is provided as Appendix A. The list of compliance stations (and types of policing effort) increases somewhat over time, and statistics from various task teams are added e.g. “TT Kleimond”.
DOI: 10.57745/fno3zp
title: ouverture fichier 8.5.Rmd

description: :unav
DOI: 10.57745/tyeo8s
title: precipitations_cumuls.Rmd

description: :unav
DOI: 10.57745/ayuzwy
title: neiges_lozere_2023.Rmd

description: :unav
DOI: 10.57745/cywnnt
title: precipitations_jours_sans_pluie.Rmd

description: :unav
DOI: 10.57745/g5l2wm
title: Guide d'utilisation du code R.pdf

description: :unav
DOI: 10.57745/lnv6od
title: precipitations_carte_jours_sans_pluie.Rmd

description: :unav
DOI: 10.57745/yf9amc
title: Indicateur dВficit hydrique.Rmd

description: :unav
DOI: 10.57745/qxqmrc
title: precipitations_carte_evenements_forts.Rmd

description: :unav
DOI: 10.57745/1fgp71
title: precipitations_evenements_forts.Rmd

description: :unav
DOI: 10.57745/xuysg7
title: temperatures.Rmd

description: :unav
DOI: 10.57745/iktagg
title: COPYING.GPL

description: :unav
DOI: 10.25375/uct.24310180
title: New Catch-At-Length data from trap samples for the 2022/23 season

description: New catch-at-length data have become available for several of the super-areas of the west coast rock lobster fishery for the 2022/23 season. These data, as well as the resulting percent females in the samples, will be used in the 2023 updated assessments.
DOI: 10.25375/uct.24310180.v1
title: New Catch-At-Length data from trap samples for the 2022/23 season

description: New catch-at-length data have become available for several of the super-areas of the west coast rock lobster fishery for the 2022/23 season. These data, as well as the resulting percent females in the samples, will be used in the 2023 updated assessments.
DOI: 10.5281/zenodo.10032613
title: The Continuous Stochastic Gradient Method

description: Abstract of the underlying manuscript (https://doi.org/10.48550/arXiv.2303.12477):
In this contribution, we present a numerical analysis of the continuous stochastic gradient (CSG) method, including applications from topology optimization and convergence rates. In contrast to standard stochastic gradient optimization schemes, CSG does not discard old gradient samples from previous iterations. Instead, design dependent integration weights are calculated to form a linear combination as an approximation to the true gradient at the current design. As the approximation error vanishes in the course of the iterations, CSG represents a hybrid approach, starting off like a purely stochastic method and behaving like a full gradient scheme in the limit. In this work, the efficiency of CSG is demonstrated for practically relevant applications from topology optimization. These settings are characterized by both, a large number of optimization variables and an objective function, whose evaluation requires the numerical computation of multiple integrals concatenated in a nonlinear fashion. Such problems could not be solved by any existing optimization method before. Lastly, with regards to convergence rates, first estimates are provided and confirmed with the help of numerical experiments.
description: This data publication is based on the metadata and datasets underlying the manuscripts
"The Continuous Stochastic Gradient Method: Part I -- Convergence Theory"
and  
"The Continuous Stochastic Gradient Method: Part II -- Application and Numerics"
 
1. 'Application_CSG_vs_fmincon' contains the following data:

(R,d):  Discretization of radius and shell thickness domain
Designs_X:  Design evolution of all 500 optimization instances for algorithm 'X'
ObjectiveEvolution_X: Objective function value for all 500 optimization instances for algorithm 'X'
ObjectiveGrid: Objective function values for 50x50x50 integration on (R,d)-grid
starting_points: Initial designs of all runs
2. 'DDA_results' contains the following data:

CSG_X_case_Y:  Simulation results for initial design 'X' and setting 'Y' for outer norm.

v:   Design snapshots
J:   Objective function values (estimated by CSG)
Lab_est: CIELAB values (estimated by CSG)
CSG_integration_X_Y: Results for CSG (as integration technique) for initial design 'X' and setting 'Y'
 
3. The ParaView (version 5.10.1) files 'X_interm_N' contain the intermediate design snapshots for initial design 'X' after 'N' CSG iterations. The value of each element within [0,1] gives the  percentage of hematite for each individual dipole cell.