cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4114108
title: Slip model and dataset - A stochastic view of the 2020 Elazig Mw 6.8 earthquake (Turkey)

description: This repository contains files describing the slip model and data published in "A stochastic view of the 2020 Elazig Mw 6.8 earthquake (Turkey)" by T. Ragon et al. The slip model has been inferred with a Bayesian approach (AlTar), assuming a complex fault geometry with triangular subfaults and layered crustal structure, and accounting for epistemic uncertainties.<br> The slip model and dataset are extensively described in the publication. Description of the files:<br> &gt; Slip model<br> - elazig_sigma_dip.dat : Standard deviation of the slip in the along-strike direction<br> - elazig_sigma_stk.dat : Standard deviation of the slip in the along-dio direction<br> - elazig_slip.dat : Total slip amplitude <br> - elazig_slip_dip.dat : Slip amplitude in the along-dip direction<br> - elazig_slip_stk.dat : Slip amplitude in the along-strike direction <br> - elazig_slipdir.dat : Vectors for the rake<br> &gt; Data<br> - elazig_A116_data_rect.dat : downsampled surface displacement for the Sentinel 1A asc. interferogram<br> - elazig_A182_data_rect.dat : downsampled surface displacement for the ALOS 2 asc. interferogram<br> - elazig_A182_po_data_rect.dat : downsampled surface displacement for the ALOS 2 pixel offset ascending track<br> - elazig_D077_data_rect.dat : downsampled surface displacement for the ALOS 2 dsc. interferogram<br> - elazig_D077_po_data_rect.dat : downsampled surface displacement for the ALOS 2 pixel offset descending track<br> - elazig_D123_data_rect.dat : downsampled surface displacement for the Sentinel 1A dsc. interferogram<br> - elazig_gps_data.dat : GPS data The format of all *slip* and *sigma* files at the exception of 'elazig_slipcenterll.dat' and 'elazig_slipdir.dat' is as follow:<br> &gt; -Z[ slip amplitude ] # [subault index 1] [subfault index 2] 9999999 # [ strike slip amplitude] [dip slip amplitude] 0.0 <br> [longitude] [latitude] [depth of point 1]<br> [longitude] [latitude] [depth of point 2]<br> [longitude] [latitude] [depth of point 3] The format of all inteferograms and PO files is as follow:<br> &gt; -Z[surface displacement in the LOS or azimuth direction]<br> [lon] [lat for NW corner]<br> [lon] [lat for NE corner]<br> [lon] [lat for SE corner]<br> [lon] [lat for SW corner]<br> [lon] [lat for NW corner]
DOI: 10.5517/ccdc.csd.cc256rfl
title: CCDC 2002489: Experimental Crystal Structure Determination

description: Related Article: D. Mroz, R. Wang, U. Englert, R. Dronskowski|2020|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|76|591|doi:10.1107/S2053229620006221
DOI: 10.5517/ccdc.csd.cc256rgm
title: CCDC 2002490: Experimental Crystal Structure Determination

description: Related Article: D. Mroz, R. Wang, U. Englert, R. Dronskowski|2020|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|76|591|doi:10.1107/S2053229620006221
DOI: 10.5517/ccdc.csd.cc256rhn
title: CCDC 2002491: Experimental Crystal Structure Determination

description: Related Article: D. Mroz, R. Wang, U. Englert, R. Dronskowski|2020|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|76|591|doi:10.1107/S2053229620006221
DOI: 10.5517/ccdc.csd.cc23d1dz
title: CCDC 1947990: Experimental Crystal Structure Determination

description: Related Article: E. Bosch, J.D. Battle, R.H. Groeneman|2020|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|76|557|doi:10.1107/S2053229620006233
DOI: 10.5517/ccdc.csd.cc256rjp
title: CCDC 2002492: Experimental Crystal Structure Determination

description: Related Article: D. Mroz, R. Wang, U. Englert, R. Dronskowski|2020|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|76|591|doi:10.1107/S2053229620006221
DOI: 10.5517/ccdc.csd.cc25843q
title: CCDC 2003812: Experimental Crystal Structure Determination

description: Related Article: R.E. Powell, B. Stöger, C. Knoll, D. Müller, P. Weinberger, P.J. van Koningsbruggen|2020|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|76|625|doi:10.1107/S2053229620006452
DOI: 10.5517/ccdc.csd.cc2588lb
title: CCDC 2003951: Experimental Crystal Structure Determination

description: Related Article: Y.-J. Zhao, J.-P. Ma, J. Fan, Y. Geng, Y.-B. Dong|2020|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|76|605|doi:10.1107/S2053229620006488
DOI: 10.5517/ccdc.csd.cc2588mc
title: CCDC 2003952: Experimental Crystal Structure Determination

description: Related Article: Y.-J. Zhao, J.-P. Ma, J. Fan, Y. Geng, Y.-B. Dong|2020|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|76|605|doi:10.1107/S2053229620006488
DOI: 10.5517/ccdc.csd.cc2588nd
title: CCDC 2003953: Experimental Crystal Structure Determination

description: Related Article: Y.-J. Zhao, J.-P. Ma, J. Fan, Y. Geng, Y.-B. Dong|2020|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|76|605|doi:10.1107/S2053229620006488
DOI: 10.5517/ccdc.csd.cc24wpxn
title: CCDC 1992832: Experimental Crystal Structure Determination

description: Related Article: Y. Dou, L. Yang, L. Qin, Y. Dong, Z. Zhou, D. Zhang, S. Wang|2020|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|76|616|doi:10.1107/S2053229620007044
DOI: 10.5517/ccdc.csd.cc2594d1
title: CCDC 2004782: Experimental Crystal Structure Determination

description: Related Article: K.V. Domasevitch, G.A. Senchyk, H. Krautscheid|2020|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|76|598|doi:10.1107/S2053229620006762
DOI: 10.5517/ccdc.csd.cc25qfcq
title: CCDC 2017553: Experimental Crystal Structure Determination

description: Related Article: Qian-Ying Yang, Hua-Hong Zhang, Guo Xu, Zi-Xuan Diao, Zong-Mei Zhou, Da-Shuai Zhang, Xin-Han Chen, Xiao-Peng Zhang, Zai-Feng Shi|2021|Inorg.Chim.Acta|515|120072|doi:10.1016/j.ica.2020.120072
DOI: 10.5517/ccdc.csd.cc25qfdr
title: CCDC 2017554: Experimental Crystal Structure Determination

description: Related Article: Qian-Ying Yang, Hua-Hong Zhang, Guo Xu, Zi-Xuan Diao, Zong-Mei Zhou, Da-Shuai Zhang, Xin-Han Chen, Xiao-Peng Zhang, Zai-Feng Shi|2021|Inorg.Chim.Acta|515|120072|doi:10.1016/j.ica.2020.120072
DOI: 10.5517/ccdc.csd.cc266ws3
title: CCDC 2032415: Experimental Crystal Structure Determination

description: Related Article: Jessica Z. Chan, Ahmet Yesilcimen, Min Cao, Yuyang Zhang, Bochao Zhang, Masayuki Wasa|2020|J.Am.Chem.Soc.|142|16493|doi:10.1021/jacs.0c08599
DOI: 10.5517/ccdc.csd.cc266wt4
title: CCDC 2032416: Experimental Crystal Structure Determination

description: Related Article: Fang Wang, Fuwei Gan, Chengshuo Shen, Huibin Qiu|2020|J.Am.Chem.Soc.|142|16167|doi:10.1021/jacs.0c06932
DOI: 10.5517/ccdc.csd.cc266wv5
title: CCDC 2032417: Experimental Crystal Structure Determination

description: Related Article: Fang Wang, Fuwei Gan, Chengshuo Shen, Huibin Qiu|2020|J.Am.Chem.Soc.|142|16167|doi:10.1021/jacs.0c06932
DOI: 10.6084/m9.figshare.13140488
title: R0312_20191114a_videos

description: Rat 0312, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.21227/dz9w-az44
title: Model 2.4

description: Model 2.4 Clustered-meter average monthly ratios Monthly (kWh) consumption clustering: 1. Twelve clustering models (one per month of signup): Spectral Clustering2. Clustering using (daily kWh) consumption extracted features. Cluster count set to 3-6: final count is decided by maximum silhouette score of euclidean distances. Additional Preprocessing:- Missing daily consumption values filled-in with (full) time-series mean (per meter). Features (170) from weekend/weekday and full series:- Statistical: median, variance, quantiles, ...- Time-series: autocorrelations, trends, seasonalities, ... Forecasting for a meter: Using the mean montly consumption + in-cluster month-to-month ratios.
DOI: 10.6084/m9.figshare.12994028
title: Instructional Text Semantic Parsing for Ambient Intelligence

description: In this study, we propose an End-User programming framework that can aid people who cook. The framework input is the text from cooking recipes which then is used to program IoT devices in the kitchen. The purpose of the current questionnaire-interview is to explore whether and to what extent this automation is helpful for cooks.
DOI: 10.6084/m9.figshare.12994028.v2
title: Instructional Text Semantic Parsing for Ambient Intelligence

description: In this study, we propose an End-User programming framework that can aid people who cook. The framework input is the text from cooking recipes which then is used to program IoT devices in the kitchen. The purpose of the current questionnaire-interview is to explore whether and to what extent this automation is helpful for cooks.
DOI: 10.6084/m9.figshare.12994028.v1
title: Instructional Text Semantic Parsing for Ambient Intelligence

description: In this study, we propose an End-User programming framework that can aid people who cook. The framework input is the text from cooking recipes which then is used to program IoT devices in the kitchen. The purpose of the current questionnaire-interview is to explore whether and to what extent this automation is helpful for cooks.
DOI: 10.5284/1083001
title: Archaeological Evaluation at The Woodyard, Bainton, Bicester, Oxfordshire (OASIS ID: johnmoor1-359174)

description: John Moore Heritage Services carried out an evaluation at The Woodyard, Bainton, Bicester, Oxfordshire (NGR SP 5773 2708). The site was located approximately 40m to the north of previously investigated medieval houses dated to the 10th to 12th centuries. In this single evaluation trench, only one ditch was found running on a N-S alignment and yielded 30 sherds of early medieval pottery of the same date.
DOI: 10.5281/zenodo.4133926
title: Ice extent in Norwegian fjords, 2001-2019

description: Ice extent in Norwegian fjords between 2001 to 2019 derived using MODIS imagery. The associated polygons used to outline each fjord/coastal area are provided in the '01_polygons.txt'. Data is presented and analyzed further in: O’Sadnick M, Petrich C,, Brekke C., Skarðhamar J (2020). Ice extent in sub-arctic fjords and coastal areas from 2001 to 2019 analyzed from MODIS imagery. Annals of Glaciology 1–17. https://doi.org/10.1017/aog.2020.34 In addition, an interactive map can be found at: https://ndat.no/fjords/ice/
description: Update to 1.0.0 version, correction to ice extent in Nordfolda2 (Bødo - Narvik region) made
description: {"references": ["O'Sadnick et al. (2020). Ice extent in sub-arctic fjords and coastal areas from 2001 to 2019 analyzed from MODIS imagery. Annals of Glaciology 1\u201317. https://doi.org/10.1017/ aog.2020.34"]}
DOI: 10.5281/zenodo.4094569
title: Ice extent in Norwegian fjords, 2001-2019

description: Ice extent in Norwegian fjords between 2001 to 2019 derived using MODIS imagery. The associated polygons used to outline each fjord/coastal area are provided in the '01_polygons.txt'. Data is presented and analyzed further in: O’Sadnick M, Petrich C,, Brekke C., Skarðhamar J (2020). Ice extent in sub-arctic fjords and coastal areas from 2001 to 2019 analyzed from MODIS imagery. Annals of Glaciology 1–17. https://doi.org/10.1017/aog.2020.34 In addition, an interactive map can be found at: https://ndat.no/fjords/ice/
description: Update to 1.0.0 version, correction to ice extent in Nordfolda2 (Bødo - Narvik region) made
description: {"references": ["O'Sadnick et al. (2020). Ice extent in sub-arctic fjords and coastal areas from 2001 to 2019 analyzed from MODIS imagery. Annals of Glaciology 1\u201317. https://doi.org/10.1017/ aog.2020.34"]}
DOI: 10.5281/zenodo.4132905
title: JG1-paper-dataset

description: Datasets for "Construction and integration of three <em>de novo</em> Japanese human genome assemblies toward a population-specific reference" Takayama et al. Datasets for Fig 1b, 1c, 2c, 3a, 3b, 4d, Supplementary Fig 4a-c, 5a-d, 6d, 7b, 9a, 9b, 13, and 17 are included.
DOI: 10.5281/zenodo.4132904
title: JG1-paper-dataset

description: Datasets for "Construction and integration of three <em>de novo</em> Japanese human genome assemblies toward a population-specific reference" Takayama et al. Datasets for Fig 1b, 1c, 2c, 3a, 3b, 4d, Supplementary Fig 4a-c, 5a-d, 6d, 7b, 9a, 9b, 13, and 17 are included.
DOI: 10.5284/1083002
title: An Archaeological Evaluation on land adjacent to Chesterfield County Court House, Chesterfield, Derbyshire (OASIS ID: archaeol5-367921)

description: Archaeological Research Services Ltd was commissioned by County Developments Ltd to undertake an archaeological evaluation at land adjacent to the former Chesterfield County Court, Spa Lane, Chesterfield, S41 7TH. The evaluation was in advance of the determination of planning application (CHE/19/00229/FUL) for an extension to the County Court building to provider a further 3 apartments and internal configurations. The evaluation was undertaken on the 20th September 2019, in accordance with a written scheme of works agreed with the Derbyshire County Archaeologist (DCA). The evaluation comprised four trenches that were sited to investigate the edges of the proposed development in order to determine if they lay outside the footprint of the excavations in 1976. Trenches two and three identified the eastern and western extent of the 1976 trench edge whilst trenches one and four also confirmed that the ground had previously been disturbed by the previous excavation.
DOI: 10.6084/m9.figshare.7981730
title: Patients’ experiences with commercially available activity trackers embedded in physiotherapy treatment: a qualitative study

description: <b>Aim:</b> The aim of this study was to describe the experience with commercially available activity trackers embedded in the physiotherapy treatment of patients with a chronic disease. <b>Methods:</b> In a qualitative study, 29 participants with a chronic disease participated. They wore an activity tracker for two to eight weeks. Data were collected using 23 interviews and discussion with 6 participants. A framework analysis was used to analyze the data. <b>Results:</b> The framework analysis resulted in seven categories: purchase, instruction, characteristics, correct functioning, sharing data, privacy, use, and interest in feedback. The standard goal of the activity trackers was experienced as too high, however the tracker still motivated them to be more active. Participants would have liked more guidance from their physiotherapists because they experienced the trackers as complex. Participants experienced some technical failures, are willing to share data with their physiotherapist and, want to spend a maximum of €50,-. <b>Conclusion:</b> The developed framework gives insight into all important concepts from the experiences reported by patients with a chronic disease and can be used to guide further research and practice. Patients with a chronic disease were positive regarding activity trackers in general. When embedded in physiotherapy, more attention should be paid to the integration in treatment.Implications for rehabilitationActivity trackers are perceived by patients with a chronic disease, as motivating them to be more physically active and to reach daily activity goals.The standard goal of 10.000 steps of the activity trackers is often perceived as too high, patients with a chronic disease would like to make a personal activity goal together with their physiotherapist.Patients with a chronic disease experience commercially available activity trackers often as too complex for their technical skills, they would like more guidance from their physiotherapist about the use and interpretation of an activity tracker. Activity trackers are perceived by patients with a chronic disease, as motivating them to be more physically active and to reach daily activity goals. The standard goal of 10.000 steps of the activity trackers is often perceived as too high, patients with a chronic disease would like to make a personal activity goal together with their physiotherapist. Patients with a chronic disease experience commercially available activity trackers often as too complex for their technical skills, they would like more guidance from their physiotherapist about the use and interpretation of an activity tracker.
DOI: 10.6084/m9.figshare.7981730.v2
title: Patients’ experiences with commercially available activity trackers embedded in physiotherapy treatment: a qualitative study

description: <b>Aim:</b> The aim of this study was to describe the experience with commercially available activity trackers embedded in the physiotherapy treatment of patients with a chronic disease. <b>Methods:</b> In a qualitative study, 29 participants with a chronic disease participated. They wore an activity tracker for two to eight weeks. Data were collected using 23 interviews and discussion with 6 participants. A framework analysis was used to analyze the data. <b>Results:</b> The framework analysis resulted in seven categories: purchase, instruction, characteristics, correct functioning, sharing data, privacy, use, and interest in feedback. The standard goal of the activity trackers was experienced as too high, however the tracker still motivated them to be more active. Participants would have liked more guidance from their physiotherapists because they experienced the trackers as complex. Participants experienced some technical failures, are willing to share data with their physiotherapist and, want to spend a maximum of €50,-. <b>Conclusion:</b> The developed framework gives insight into all important concepts from the experiences reported by patients with a chronic disease and can be used to guide further research and practice. Patients with a chronic disease were positive regarding activity trackers in general. When embedded in physiotherapy, more attention should be paid to the integration in treatment.Implications for rehabilitationActivity trackers are perceived by patients with a chronic disease, as motivating them to be more physically active and to reach daily activity goals.The standard goal of 10.000 steps of the activity trackers is often perceived as too high, patients with a chronic disease would like to make a personal activity goal together with their physiotherapist.Patients with a chronic disease experience commercially available activity trackers often as too complex for their technical skills, they would like more guidance from their physiotherapist about the use and interpretation of an activity tracker. Activity trackers are perceived by patients with a chronic disease, as motivating them to be more physically active and to reach daily activity goals. The standard goal of 10.000 steps of the activity trackers is often perceived as too high, patients with a chronic disease would like to make a personal activity goal together with their physiotherapist. Patients with a chronic disease experience commercially available activity trackers often as too complex for their technical skills, they would like more guidance from their physiotherapist about the use and interpretation of an activity tracker.
DOI: 10.6084/m9.figshare.7981730.v1
title: Patients’ experiences with commercially available activity trackers embedded in physiotherapy treatment: a qualitative study

description: <b>Aim:</b> The aim of this study was to describe the experience with commercially available activity trackers embedded in the physiotherapy treatment of patients with a chronic disease. <b>Methods:</b> In a qualitative study, 29 participants with a chronic disease participated. They wore an activity tracker for two to eight weeks. Data were collected using 23 interviews and discussion with 6 participants. A framework analysis was used to analyze the data. <b>Results:</b> The framework analysis resulted in seven categories: purchase, instruction, characteristics, correct functioning, sharing data, privacy, use, and interest in feedback. The standard goal of the activity trackers was experienced as too high, however the tracker still motivated them to be more active. Participants would have liked more guidance from their physiotherapists because they experienced the trackers as complex. Participants experienced some technical failures, are willing to share data with their physiotherapist and, want to spend a maximum of €50,-. <b>Conclusion:</b> The developed framework gives insight into all important concepts from the experiences reported by patients with a chronic disease and can be used to guide further research and practice. Patients with a chronic disease were positive regarding activity trackers in general. When embedded in physiotherapy, more attention should be paid to the integration in treatment.Implications for rehabilitationActivity trackers are perceived by patients with a chronic disease, as motivating them to be more physically active and to reach daily activity goals.The standard goal of 10.000 steps of the activity trackers is often perceived as too high, patients with a chronic disease would like to make a personal activity goal together with their physiotherapist.Patients with a chronic disease experience commercially available activity trackers often as too complex for their technical skills, they would like more guidance from their physiotherapist about the use and interpretation of an activity tracker. Activity trackers are perceived by patients with a chronic disease, as motivating them to be more physically active and to reach daily activity goals. The standard goal of 10.000 steps of the activity trackers is often perceived as too high, patients with a chronic disease would like to make a personal activity goal together with their physiotherapist. Patients with a chronic disease experience commercially available activity trackers often as too complex for their technical skills, they would like more guidance from their physiotherapist about the use and interpretation of an activity tracker.
DOI: 10.21227/x62k-v713
title: Model 2.5

description: Model 2.5 Clustered-meter average monthly ratios Monthly (kWh) consumption clustering: 1. Twelve clustering models (one per month of signup): K-medoids Clustering2. Clustering using (daily kWh) consumption extracted features. Cluster count set to 4. Features (170) from weekend/weekday and full series:- Statistical: median, variance, quantiles, ...- Time-series: autocorrelations, trends, seasonalities, ... Forecasting for a meter: Using the mean montly consumption + in-cluster month-to-month ratios.
DOI: 10.6084/m9.figshare.13140857
title: R0311_20191202a_videos

description: Rat 0311, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.34760/5f50c7b1543b2
title: Skeleton 851
title: 4
DOI: 10.34760/5f50cba039881
title: Skeleton 1000
title: 7
DOI: 10.34760/5f50cc3b94fe4
title: Skeleton 3750
title: 7
DOI: 10.17037/data.00001916
title: Clinical code list - Weakness

description: Read codes for Weakness
DOI: 10.34760/5f50ccc11b526
title: Skeleton 225
title: 13
DOI: 10.34760/5f50b06ebe2a5
title: Skeleton 1000
title: 3
DOI: 10.5517/ccdc.csd.cc25hht0
title: CCDC 2010902: Experimental Crystal Structure Determination

description: Related Article: Serhii Tretiakov, Johannes A. M. Damen, Martin Lutz, Marc-Etienne Moret|2020|Dalton Trans.|49|13549|doi:10.1039/D0DT02601H
DOI: 10.5517/ccdc.csd.cc25hhv1
title: CCDC 2010903: Experimental Crystal Structure Determination

description: Related Article: Serhii Tretiakov, Johannes A. M. Damen, Martin Lutz, Marc-Etienne Moret|2020|Dalton Trans.|49|13549|doi:10.1039/D0DT02601H
DOI: 10.5517/ccdc.csd.cc25hhw2
title: CCDC 2010904: Experimental Crystal Structure Determination

description: Related Article: Serhii Tretiakov, Johannes A. M. Damen, Martin Lutz, Marc-Etienne Moret|2020|Dalton Trans.|49|13549|doi:10.1039/D0DT02601H
DOI: 10.5517/ccdc.csd.cc25hhx3
title: CCDC 2010905: Experimental Crystal Structure Determination

description: Related Article: Serhii Tretiakov, Johannes A. M. Damen, Martin Lutz, Marc-Etienne Moret|2020|Dalton Trans.|49|13549|doi:10.1039/D0DT02601H
DOI: 10.5517/ccdc.csd.cc25hhy4
title: CCDC 2010906: Experimental Crystal Structure Determination

description: Related Article: Serhii Tretiakov, Johannes A. M. Damen, Martin Lutz, Marc-Etienne Moret|2020|Dalton Trans.|49|13549|doi:10.1039/D0DT02601H
DOI: 10.5517/ccdc.csd.cc25hhz5
title: CCDC 2010907: Experimental Crystal Structure Determination

description: Related Article: Serhii Tretiakov, Johannes A. M. Damen, Martin Lutz, Marc-Etienne Moret|2020|Dalton Trans.|49|13549|doi:10.1039/D0DT02601H