cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.23728/fmi-b2share.f787e9188786481d936215755919e255
title: RoadSurf library evaluation study dataset

description: Data related to manuscript: RoadSurf: Open-source Road Weather Model library Data contains: -Road weather station observations for Finnish road weather stations from 1 October 2022 to 1 April 2023 -Atmospheric forecast from Finnish Meteorological institute. The data is combination of forecast edited by meteorologist and automatically produced nowcast. -Simulated road surface temperature and amounts of water, snow, ice and black ice on the road -RMSE and bias calucated for the simulations for each month and forecast start time. Also, RMSE and bias for "same as yesterday" and persistence forecasts are included -ReadMe files that explain the data in more detail
DOI: 10.5281/zenodo.8016933
title: PIXE maps of antique coins

description: PIXE maps of antique coins
DOI: 10.5281/zenodo.8113309
title: PIXE maps of antique coins

description: PIXE maps of antique coins
DOI: 10.5281/zenodo.8016932
title: PIXE maps of antique coins

description: PIXE maps of antique coins
DOI: 10.5281/zenodo.8113340
title: Data for Transient 2D IR spectroscopy and multiscale simulations reveal vibrational couplings in the Cyanobacteriochrome Slr1393-g3

description: Data used in the Manuscript Transient 2D IR spectroscopy and multiscale simulations reveal vibrational couplings in the Cyanobacteriochrome Slr1393-g3
DOI: 10.5281/zenodo.8113339
title: Data for Transient 2D IR spectroscopy and multiscale simulations reveal vibrational couplings in the Cyanobacteriochrome Slr1393-g3

description: Data used in the Manuscript Transient 2D IR spectroscopy and multiscale simulations reveal vibrational couplings in the Cyanobacteriochrome Slr1393-g3
DOI: 10.5526/erdr-00000178
title: Experimental estimation of ladder dredge efficiency for capture of European flat oysters over mixed sediment
DOI: 10.34740/kaggle/dsv/6077678
title: Global Genomic Neurofibromatosis Neoplasia
DOI: 10.34740/kaggle/dsv/6077689
title: UNET Lung Segmentation Weights for Chest X Rays
DOI: 10.5281/zenodo.8108346
title: HTR model NIOD_WarLet_1935-1950_NoBasemodel

description: The HTR model ‘NIOD_WarLet_1935-1950_NoBasemodel’ was trained using 968 ‘Ground Truth’ transcriptions of high-resolution scans of various handwritten letters. These letters are all written in Dutch and originate from the period 1935-1950. The training set contains personal correspondence from a wide variety of letter writers (e.g., children, soldiers, Jewish people in hiding). These personal correspondences are all part of the archival collection known as ‘247 Correspondentie’ held by the NIOD Institute for War, Holocaust, and Genocide Studies in Amsterdam.<br> <br> This model was created as part of the project ‘First-Hand Accounts of War: War letters (1935-1950) from NIOD digitised’. All documents used for training and validation were scanned and transcribed within this project. This project ran from 2020 to 2023 and was funded by the Mondriaan Fund, the Dutch Ministry of Health, Welfare, and Sport, and the NIOD Institute for War, Holocaust, and Genocide Studies in Amsterdam.<br> <br> The ‘Ground Truth’ training set is created by project members Annelies van Nispen, Carlijn Keijzer and Milan van Lange. Additional transcription and correction of ‘Ground Truth’ transcriptions was performed under supervision of Muriël Bouman by citizen scientists Hillebrand Verkroost, Bart Cohen, Evelien Bachrach, Marjo Janssens, and Cocky Sietses. The validation set contains a sample of 17 ‘Ground Truth’ transcriptions from various writers and sub-collections. Due to legal restrictions only a limited sample of the training set is published publicly.<br> <br> The model is trained using PyLaia HTR, max. 500 epochs (321 epochs trained), learning rate 0.0003. No basemodel was used. See also: https://readcoop.eu/model/niod_warlet_1945-1950_nobasemodel/
DOI: 10.5281/zenodo.8108347
title: HTR model NIOD_WarLet_1935-1950_NoBasemodel

description: The HTR model ‘NIOD_WarLet_1935-1950_NoBasemodel’ was trained using 968 ‘Ground Truth’ transcriptions of high-resolution scans of various handwritten letters. These letters are all written in Dutch and originate from the period 1935-1950. The training set contains personal correspondence from a wide variety of letter writers (e.g., children, soldiers, Jewish people in hiding). These personal correspondences are all part of the archival collection known as ‘247 Correspondentie’ held by the NIOD Institute for War, Holocaust, and Genocide Studies in Amsterdam.<br> <br> This model was created as part of the project ‘First-Hand Accounts of War: War letters (1935-1950) from NIOD digitised’. All documents used for training and validation were scanned and transcribed within this project. This project ran from 2020 to 2023 and was funded by the Mondriaan Fund, the Dutch Ministry of Health, Welfare, and Sport, and the NIOD Institute for War, Holocaust, and Genocide Studies in Amsterdam.<br> <br> The ‘Ground Truth’ training set is created by project members Annelies van Nispen, Carlijn Keijzer and Milan van Lange. Additional transcription and correction of ‘Ground Truth’ transcriptions was performed under supervision of Muriël Bouman by citizen scientists Hillebrand Verkroost, Bart Cohen, Evelien Bachrach, Marjo Janssens, and Cocky Sietses. The validation set contains a sample of 17 ‘Ground Truth’ transcriptions from various writers and sub-collections. Due to legal restrictions only a limited sample of the training set is published publicly.<br> <br> The model is trained using PyLaia HTR, max. 500 epochs (321 epochs trained), learning rate 0.0003. No basemodel was used. See also: https://readcoop.eu/model/niod_warlet_1945-1950_nobasemodel/
DOI: 10.48320/f5ea5e0f-3ea5-494d-b9fe-622e1f5869da
title: Participation in Euromaidan and Antimaidan movements, Ukraine, 2014
DOI: 10.17909/jn8b-7716
title: IUE data HD 49333 for RNAAS
DOI: 10.25345/c5930p539
title: MassIVE MSV000092338 - Enviromental Ancient Metabolome
title: Non-target metabolomics on ancient soil and other organic material
DOI: 10.6084/m9.figshare.23623368
title: <strong>The Chinese Thermal Comfort Dataset</strong>

description: Heating and cooling in buildings accounts for over 20% of total energy consumption in China. Therefore, it is essential to understand the thermal requirements of building occupants when establishing building energy codes that would save energy while maintaining occupants’ thermal comfort. This paper introduces the Chinese Thermal Comfort Dataset, established by seven participating institutions under the leadership of Xi'an University of Architecture and Technology. The dataset comprises 41,977 sets of data collected from 49 cities across five climate zones in China over the past two decades. The raw data underwent careful quality control procedure, including systematic organization, to ensure its reliability. Each dataset contains environmental parameters, occupants’ subjective responses, building information, and personal information. The dataset has been instrumental in the development of indoor thermal environment evaluation standards and energy codes in China. It can also have broader applications, such as contributing to the international thermal comfort dataset, modeling thermal comfort and adaptive behaviors, investigating regional differences in indoor thermal conditions, and examining occupants’ thermal comfort responses.
DOI: 10.25345/c5599zc03
title: MassIVE MSV000092339 - Lichen metabolites produced under extreme conditions
title: Non-target metabolomics of lichens exposed to extreme environmental conditions such as pressure and ultraviolet light
DOI: 10.34740/kaggle/dsv/6077830
title: 2021 World Population (updated daily)
DOI: 10.34740/kaggle/dsv/6077826
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.5281/zenodo.8086085
title: Electrophysiological Signals of Embodiment and MI-BCI Training in VR

description: <strong>DATASET DETAILS:</strong> <strong>Participant demographics:</strong> A total of 26 participants were included, consisting of 10 males (mean age 25.4 ± 7.4) and 16 females (mean age 23 ± 3.2). All participants were right-handed, reported normal or corrected-to-normal vision, and had no motor impairments. Three participants had previous experience with BCIs, and five participants used VR more than twice. Participants were randomly assigned to either the embodied group (N=13) or the non-embodied group (N=13), which served as a control. All participants signed an informed consent before participating in the study in accordance with the 1964 Declaration of Helsinki. <strong>Experiment Description:</strong> A between-subject design was used to investigate the effect of virtual embodiment priming phase on the subsequent motor-imagery training phase in VR. The experiment comprised four main blocks: (1) equipment setup and instructions (45-60 minutes), (2) resting state EEG recording (4 minutes), (3) inducing or breaking the sense of embodiment in VR (5 minutes), and (4) MI training in VR (15 minutes). The entire experiment lasted approximately 90-120 minutes. Directly after block 3, participants answered a questionnaire that measured their subjective sense of embodiment and physical presence. <strong>Equipment:</strong> A wireless EEG amplifier (LiveAmp; Brain Products GmbH, Gilching, Germany) was used, with 32 active <strong>EEG</strong> electrodes (+3 ACC) with a sampling rate of 500Hz. In addition, <strong>EMG, </strong>and <strong>Temperature</strong> signals (in uV) have been recorded synchronously in a bipolar montage and connected to the EEG amplifier’s AUX input through the Brain Products BIP2AUX adapter. Visual feedback was provided through an Oculus Rift CV1 headset (Reality Labs, formerly Facebook, Inc., CA, USA).<br> <strong>Channel Indices:</strong> <strong>EEG</strong>: 1-32<br> <strong>EMG Left</strong> (AUX1): 33<br> <strong>EMG Right</strong>. (AUX2): 34<br> <strong>Temperature</strong> (AUX3): 35<br> <strong>ACC</strong>: 36-38 <strong>Event codes:</strong> <strong>Code</strong> <strong>Description</strong> S01 Experiment Start S02 Baseline Start S03 Baseline Stop S04 Start Of Trial S05 Cross On Screen S07 class1, Left hand S08 class2, Right hand S09 Feedback Continuous S10 End of Trial S11 End Of Session S12 Experiment Stop <strong>Directory tree:</strong> ROOT<br> |<br> +--- GROUP [Control or Embodied]<br> | +---USER #<br> | | +---TASK #<br> | | | +---Resting State<br> | | | | .eeg<br> | | | | .vhdr<br> | | | | .vmrk<br> | | | +---Embodiment<br> | | | | .eeg<br> | | | | .vhdr<br> | | | | .vmrk<br> | | | +---MI<br> | | | | .eeg<br> | | | | .vhdr<br> | | | | .vmrk For demographics and questionnaire data, please contact the authors.
DOI: 10.5281/zenodo.8086086
title: Electrophysiological Signals of Embodiment and MI-BCI Training in VR

description: <strong>DATASET DETAILS:</strong> <strong>Participant demographics:</strong> A total of 26 participants were included, consisting of 10 males (mean age 25.4 ± 7.4) and 16 females (mean age 23 ± 3.2). All participants were right-handed, reported normal or corrected-to-normal vision, and had no motor impairments. Three participants had previous experience with BCIs, and five participants used VR more than twice. Participants were randomly assigned to either the embodied group (N=13) or the non-embodied group (N=13), which served as a control. All participants signed an informed consent before participating in the study in accordance with the 1964 Declaration of Helsinki. <strong>Experiment Description:</strong> A between-subject design was used to investigate the effect of virtual embodiment priming phase on the subsequent motor-imagery training phase in VR. The experiment comprised four main blocks: (1) equipment setup and instructions (45-60 minutes), (2) resting state EEG recording (4 minutes), (3) inducing or breaking the sense of embodiment in VR (5 minutes), and (4) MI training in VR (15 minutes). The entire experiment lasted approximately 90-120 minutes. Directly after block 3, participants answered a questionnaire that measured their subjective sense of embodiment and physical presence. <strong>Equipment:</strong> A wireless EEG amplifier (LiveAmp; Brain Products GmbH, Gilching, Germany) was used, with 32 active <strong>EEG</strong> electrodes (+3 ACC) with a sampling rate of 500Hz. In addition, <strong>EMG, </strong>and <strong>Temperature</strong> signals (in uV) have been recorded synchronously in a bipolar montage and connected to the EEG amplifier’s AUX input through the Brain Products BIP2AUX adapter. Visual feedback was provided through an Oculus Rift CV1 headset (Reality Labs, formerly Facebook, Inc., CA, USA).<br> <strong>Channel Indices:</strong> <strong>EEG</strong>: 1-32<br> <strong>EMG Left</strong> (AUX1): 33<br> <strong>EMG Right</strong>. (AUX2): 34<br> <strong>Temperature</strong> (AUX3): 35<br> <strong>ACC</strong>: 36-38 <strong>Event codes:</strong> <strong>Code</strong> <strong>Description</strong> S01 Experiment Start S02 Baseline Start S03 Baseline Stop S04 Start Of Trial S05 Cross On Screen S07 class1, Left hand S08 class2, Right hand S09 Feedback Continuous S10 End of Trial S11 End Of Session S12 Experiment Stop <strong>Directory tree:</strong> ROOT<br> |<br> +--- GROUP [Control or Embodied]<br> | +---USER #<br> | | +---TASK #<br> | | | +---Resting State<br> | | | | .eeg<br> | | | | .vhdr<br> | | | | .vmrk<br> | | | +---Embodiment<br> | | | | .eeg<br> | | | | .vhdr<br> | | | | .vmrk<br> | | | +---MI<br> | | | | .eeg<br> | | | | .vhdr<br> | | | | .vmrk For demographics and questionnaire data, please contact the authors.
DOI: 10.5517/ccdc.csd.cc291dj9
title: CCDC 2116510: Experimental Crystal Structure Determination

description: Related Article: Ke-Ke Chen, Zhi-Han Chang, Yu-Chen Zhang, Yong-Zhen Chen, Jun-Jun Lu, Ju-Ju Liang, Xiu-Li Wang|2022|Polyhedron|224|115996|doi:10.1016/j.poly.2022.115996
description: Related Article: Ke-Ke Chen, Zhi-Han Chang, Yong-Zhen Chen, Jun-Jun Lu, Ju-Ju Liang, Xiu-Li Wang|2023|Inorg.Chim.Acta|545|121250|doi:10.1016/j.ica.2022.121250
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: 10.5517/ccdc.csd.cc2df7dh
title: CCDC 2217256: Experimental Crystal Structure Determination

description: Related Article: Eva M. Huber, Lukas Kreling, Antje K. Heinrich, Maximilian Dünnebacke, Alexander Pöthig, Helge B. Bode, Michael Groll|2023|Structure (Cambridge,MA,U.S.)|31|573|doi:10.1016/j.str.2023.03.001
description: Related Article: E. M. Huber, L. Kreling, A. K. Heinrich, M. Duennebacke, A. Poethig, H. B. Bode, M. Groll|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: 10.5517/ccdc.csd.cc2df7fj
title: CCDC 2217257: Experimental Crystal Structure Determination

description: Related Article: Eva M. Huber, Lukas Kreling, Antje K. Heinrich, Maximilian Dünnebacke, Alexander Pöthig, Helge B. Bode, Michael Groll|2023|Structure (Cambridge,MA,U.S.)|31|573|doi:10.1016/j.str.2023.03.001
description: Related Article: E. M. Huber, L. Kreling, A. K. Heinrich, M. Duennebacke, A. Poethig, H. B. Bode, M. Groll|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: 10.5517/ccdc.csd.cc2dm65f
title: CCDC 2222984: Experimental Crystal Structure Determination

description: Related Article: Yanmin Guo, Rong Chang, Zhen Fu, Cong-Ying Zhou, Zhen Guo|2023|Green Chemistry|25|5206|doi:10.1039/D3GC01329D
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: 10.5517/ccdc.csd.cc2dm6t2
title: CCDC 2223004: Experimental Crystal Structure Determination

description: Related Article: Yanmin Guo, Rong Chang, Zhen Fu, Cong-Ying Zhou, Zhen Guo|2023|Green Chemistry|25|5206|doi:10.1039/D3GC01329D
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: 10.5517/ccdc.csd.cc2dm6v3
title: CCDC 2223005: Experimental Crystal Structure Determination

description: Related Article: Yanmin Guo, Rong Chang, Zhen Fu, Cong-Ying Zhou, Zhen Guo|2023|Green Chemistry|25|5206|doi:10.1039/D3GC01329D
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: 10.5517/ccdc.csd.cc2dm6s1
title: CCDC 2223003: Experimental Crystal Structure Determination

description: Related Article: Yanmin Guo, Rong Chang, Zhen Fu, Cong-Ying Zhou, Zhen Guo|2023|Green Chemistry|25|5206|doi:10.1039/D3GC01329D
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: 10.5517/ccdc.csd.cc2dm6py
title: CCDC 2223000: Experimental Crystal Structure Determination

description: Related Article: Yanmin Guo, Rong Chang, Zhen Fu, Cong-Ying Zhou, Zhen Guo|2023|Green Chemistry|25|5206|doi:10.1039/D3GC01329D
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: 10.5517/ccdc.csd.cc2dppyr
title: CCDC 2225395: Experimental Crystal Structure Determination

description: Related Article: Xuexia Xu, Qin Yang, Lanteng Wang, Jie Zheng, Yang Gu, Xiwen Xing, Jiahai Zhou|2023|Cat.Sci.Tech.|13|3953|doi:10.1039/D3CY00366C
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: 10.5517/ccdc.csd.cc2f8vn7
title: CCDC 2242839: Experimental Crystal Structure Determination

description: Related Article: Yury N. Kotovshchikov, Stepan S. Tatevosyan, Gennadij V. Latyshev, Zoya R. Kugusheva, Nikolay V. Lukashev, Irina P. Beletskaya|2023|New J.Chem.|47|12239|doi:10.1039/D3NJ01264F
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: 10.5517/ccdc.csd.cc2fclw9
title: CCDC 2245481: Experimental Crystal Structure Determination

description: Related Article: Brendan F. Abrahams, Christopher J. Commons, Timothy A. Hudson|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: 10.5517/ccdc.csd.cc2fcpvc
title: CCDC 2245573: Experimental Crystal Structure Determination

description: Related Article: Ma Jin|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: 10.5517/ccdc.csd.cc2fd8bg
title: CCDC 2246115: Experimental Crystal Structure Determination

description: Related Article: Qian Chen|2023|CSD Communication|||
description: Related Article: Xinduo Sun, Chaoji Xiong, Fanrui Zhou, Kun Liang, Chunhua Wu, Xiaoping Rao, Qian Chen|2023|J.Org.Chem.|88|7454|doi:10.1021/acs.joc.3c00006
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: 10.5517/ccdc.csd.cc2fd8ch
title: CCDC 2246116: Experimental Crystal Structure Determination

description: Related Article: Volker Jens Eilrich, Peter Lönnecke, Evamarie Hey-Hawkins|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: 10.5517/ccdc.csd.cc2fd8dj
title: CCDC 2246117: Experimental Crystal Structure Determination

description: Related Article: Volker Jens Eilrich, Peter Lönnecke, Evamarie Hey-Hawkins|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: 10.5517/ccdc.csd.cc2fdb06
title: CCDC 2246167: Experimental Crystal Structure Determination

description: Related Article: Eleanor Dodd, Simon J. Coles, Terry L. Threlfall|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.