cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc25z5n0
title: CCDC 2025002: Experimental Crystal Structure Determination

description: Related Article: Simin Li, Kiyonori Takahashi, Ichiro Hisaki, Kenta Kokado, Takayoshi Nakamura|2020|Dalton Trans.|49|16772|doi:10.1039/D0DT03386C
DOI: 10.5517/ccdc.csd.cc26019l
title: CCDC 2025828: Experimental Crystal Structure Determination

description: Related Article: Thomas M. Hood, Adrian B. Chaplin|2020|Dalton Trans.|49|16649|doi:10.1039/D0DT03550E
DOI: 10.5517/ccdc.csd.cc2601bm
title: CCDC 2025829: Experimental Crystal Structure Determination

description: Related Article: Thomas M. Hood, Adrian B. Chaplin|2020|Dalton Trans.|49|16649|doi:10.1039/D0DT03550E
DOI: 10.5517/ccdc.csd.cc2601dp
title: CCDC 2025831: Experimental Crystal Structure Determination

description: Related Article: Thomas M. Hood, Adrian B. Chaplin|2020|Dalton Trans.|49|16649|doi:10.1039/D0DT03550E
DOI: 10.5517/ccdc.csd.cc2601fq
title: CCDC 2025832: Experimental Crystal Structure Determination

description: Related Article: Thomas M. Hood, Adrian B. Chaplin|2020|Dalton Trans.|49|16649|doi:10.1039/D0DT03550E
DOI: 10.5517/ccdc.csd.cc2601gr
title: CCDC 2025833: Experimental Crystal Structure Determination

description: Related Article: Thomas M. Hood, Adrian B. Chaplin|2020|Dalton Trans.|49|16649|doi:10.1039/D0DT03550E
DOI: 10.5517/ccdc.csd.cc260jrj
title: CCDC 2026307: Experimental Crystal Structure Determination

description: Related Article: Ravi Shankar, Nidhi Mahavar|2020|Dalton Trans.|49|16633|doi:10.1039/D0DT03252B
DOI: 10.5517/ccdc.csd.cc2624q5
title: CCDC 2027856: Experimental Crystal Structure Determination

description: Related Article: Gennadii V. Shilov, Elena I. Zhilyaeva, Alexandra M. Flakina, Sergey M. Aldoshin, Dmitri V. Konarev, Rustem B. Lyubovskii, Rimma N. Lyubovskaya|2020|CrystEngComm|22|8054|doi:10.1039/D0CE01375G
DOI: 10.5517/ccdc.csd.cc2624r6
title: CCDC 2027857: Experimental Crystal Structure Determination

description: Related Article: Gennadii V. Shilov, Elena I. Zhilyaeva, Alexandra M. Flakina, Sergey M. Aldoshin, Dmitri V. Konarev, Rustem B. Lyubovskii, Rimma N. Lyubovskaya|2020|CrystEngComm|22|8054|doi:10.1039/D0CE01375G
DOI: 10.5517/ccdc.csd.cc2624s7
title: CCDC 2027858: Experimental Crystal Structure Determination

description: Related Article: Gennadii V. Shilov, Elena I. Zhilyaeva, Alexandra M. Flakina, Sergey M. Aldoshin, Dmitri V. Konarev, Rustem B. Lyubovskii, Rimma N. Lyubovskaya|2020|CrystEngComm|22|8054|doi:10.1039/D0CE01375G
DOI: 10.5517/ccdc.csd.cc266x9n
title: CCDC 2032431: Experimental Crystal Structure Determination

description: Related Article: Lu Chen, Yu Tan, Han Xu, Kun Wang, Zhou-Hui Chen, Nuan Zheng, Yu-Qian Li, Li-Rong Lin|2020|Dalton Trans.|49|16745|doi:10.1039/D0DT03383A
DOI: 10.5517/ccdc.csd.cc266xbp
title: CCDC 2032432: Experimental Crystal Structure Determination

description: Related Article: Lu Chen, Yu Tan, Han Xu, Kun Wang, Zhou-Hui Chen, Nuan Zheng, Yu-Qian Li, Li-Rong Lin|2020|Dalton Trans.|49|16745|doi:10.1039/D0DT03383A
DOI: 10.5517/ccdc.csd.cc266xcq
title: CCDC 2032433: Experimental Crystal Structure Determination

description: Related Article: Lu Chen, Yu Tan, Han Xu, Kun Wang, Zhou-Hui Chen, Nuan Zheng, Yu-Qian Li, Li-Rong Lin|2020|Dalton Trans.|49|16745|doi:10.1039/D0DT03383A
DOI: 10.5517/ccdc.csd.cc266xdr
title: CCDC 2032434: Experimental Crystal Structure Determination

description: Related Article: Lu Chen, Yu Tan, Han Xu, Kun Wang, Zhou-Hui Chen, Nuan Zheng, Yu-Qian Li, Li-Rong Lin|2020|Dalton Trans.|49|16745|doi:10.1039/D0DT03383A
DOI: 10.5517/ccdc.csd.cc266xfs
title: CCDC 2032435: Experimental Crystal Structure Determination

description: Related Article: Lu Chen, Yu Tan, Han Xu, Kun Wang, Zhou-Hui Chen, Nuan Zheng, Yu-Qian Li, Li-Rong Lin|2020|Dalton Trans.|49|16745|doi:10.1039/D0DT03383A
DOI: 10.5517/ccdc.csd.cc23z3px
title: CCDC 1965359: Experimental Crystal Structure Determination

description: Related Article: Siffeen Zehra, Santiago Gómez-Ruiz, Hifzur R. Siddique, Sartaj Tabassum, Farukh Arjmand|2020|Dalton Trans.|49|16830|doi:10.1039/D0DT02657C
DOI: 10.5517/ccdc.csd.cc23z3s0
title: CCDC 1965362: Experimental Crystal Structure Determination

description: Related Article: Siffeen Zehra, Santiago Gómez-Ruiz, Hifzur R. Siddique, Sartaj Tabassum, Farukh Arjmand|2020|Dalton Trans.|49|16830|doi:10.1039/D0DT02657C
DOI: 10.5517/ccdc.csd.cc23z3qy
title: CCDC 1965360: Experimental Crystal Structure Determination

description: Related Article: Siffeen Zehra, Santiago Gómez-Ruiz, Hifzur R. Siddique, Sartaj Tabassum, Farukh Arjmand|2020|Dalton Trans.|49|16830|doi:10.1039/D0DT02657C
DOI: 10.5517/ccdc.csd.cc23z3t1
title: CCDC 1965363: Experimental Crystal Structure Determination

description: Related Article: Siffeen Zehra, Santiago Gómez-Ruiz, Hifzur R. Siddique, Sartaj Tabassum, Farukh Arjmand|2020|Dalton Trans.|49|16830|doi:10.1039/D0DT02657C
DOI: 10.5517/ccdc.csd.cc2679zr
title: CCDC 2032824: Experimental Crystal Structure Determination

description: Related Article: Dmitri V. Konarev, Alexey V. Kuzmin, Alexander F. Shestakov, Ivan A. Rompanen, Rimma N. Lyubovskaya|2020|Dalton Trans.|49|16801|doi:10.1039/D0DT03404E
DOI: 10.5517/ccdc.csd.cc267b0t
title: CCDC 2032825: Experimental Crystal Structure Determination

description: Related Article: Dmitri V. Konarev, Alexey V. Kuzmin, Alexander F. Shestakov, Ivan A. Rompanen, Rimma N. Lyubovskaya|2020|Dalton Trans.|49|16801|doi:10.1039/D0DT03404E
DOI: 10.5517/ccdc.csd.cc267b1v
title: CCDC 2032826: Experimental Crystal Structure Determination

description: Related Article: Dmitri V. Konarev, Alexey V. Kuzmin, Alexander F. Shestakov, Ivan A. Rompanen, Rimma N. Lyubovskaya|2020|Dalton Trans.|49|16801|doi:10.1039/D0DT03404E
DOI: 10.5517/ccdc.csd.cc26864v
title: CCDC 2033666: Experimental Crystal Structure Determination

description: Related Article: Stavros A. Diamantis, Antonios Hatzidimitriou, Alexios K. Plessas, Anastasia Pournara, Manolis J. Manos, Giannis S. Papaefstathiou, Theodore Lazarides|2020|Dalton Trans.|49|16736|doi:10.1039/D0DT03325A
DOI: 10.5517/ccdc.csd.cc26865w
title: CCDC 2033667: Experimental Crystal Structure Determination

description: Related Article: Stavros A. Diamantis, Antonios Hatzidimitriou, Alexios K. Plessas, Anastasia Pournara, Manolis J. Manos, Giannis S. Papaefstathiou, Theodore Lazarides|2020|Dalton Trans.|49|16736|doi:10.1039/D0DT03325A
DOI: 10.5517/ccdc.csd.cc26866x
title: CCDC 2033668: Experimental Crystal Structure Determination

description: Related Article: Stavros A. Diamantis, Antonios Hatzidimitriou, Alexios K. Plessas, Anastasia Pournara, Manolis J. Manos, Giannis S. Papaefstathiou, Theodore Lazarides|2020|Dalton Trans.|49|16736|doi:10.1039/D0DT03325A
DOI: 10.5517/ccdc.csd.cc26867y
title: CCDC 2033669: Experimental Crystal Structure Determination

description: Related Article: Stavros A. Diamantis, Antonios Hatzidimitriou, Alexios K. Plessas, Anastasia Pournara, Manolis J. Manos, Giannis S. Papaefstathiou, Theodore Lazarides|2020|Dalton Trans.|49|16736|doi:10.1039/D0DT03325A
DOI: 10.5517/ccdc.csd.cc26868z
title: CCDC 2033670: Experimental Crystal Structure Determination

description: Related Article: Stavros A. Diamantis, Antonios Hatzidimitriou, Alexios K. Plessas, Anastasia Pournara, Manolis J. Manos, Giannis S. Papaefstathiou, Theodore Lazarides|2020|Dalton Trans.|49|16736|doi:10.1039/D0DT03325A
DOI: 10.5517/ccdc.csd.cc268690
title: CCDC 2033671: Experimental Crystal Structure Determination

description: Related Article: Stavros A. Diamantis, Antonios Hatzidimitriou, Alexios K. Plessas, Anastasia Pournara, Manolis J. Manos, Giannis S. Papaefstathiou, Theodore Lazarides|2020|Dalton Trans.|49|16736|doi:10.1039/D0DT03325A
DOI: 10.5517/ccdc.csd.cc2686c2
title: CCDC 2033673: Experimental Crystal Structure Determination

description: Related Article: Stavros A. Diamantis, Antonios Hatzidimitriou, Alexios K. Plessas, Anastasia Pournara, Manolis J. Manos, Giannis S. Papaefstathiou, Theodore Lazarides|2020|Dalton Trans.|49|16736|doi:10.1039/D0DT03325A
DOI: 10.5517/ccdc.csd.cc2686b1
title: CCDC 2033672: Experimental Crystal Structure Determination

description: Related Article: Stavros A. Diamantis, Antonios Hatzidimitriou, Alexios K. Plessas, Anastasia Pournara, Manolis J. Manos, Giannis S. Papaefstathiou, Theodore Lazarides|2020|Dalton Trans.|49|16736|doi:10.1039/D0DT03325A
DOI: 10.5517/ccdc.csd.cc25vkby
title: CCDC 2021520: Experimental Crystal Structure Determination

description: Related Article: Axel Straube, Peter Coburger, Marvin Michak, Mark R. Ringenberg, Evamarie Hey-Hawkins|2020|Dalton Trans.|49|16667|doi:10.1039/D0DT02743J
DOI: 10.5517/ccdc.csd.cc25vk9x
title: CCDC 2021519: Experimental Crystal Structure Determination

description: Related Article: Axel Straube, Peter Coburger, Marvin Michak, Mark R. Ringenberg, Evamarie Hey-Hawkins|2020|Dalton Trans.|49|16667|doi:10.1039/D0DT02743J
DOI: 10.5517/ccdc.csd.cc25vk7v
title: CCDC 2021517: Experimental Crystal Structure Determination

description: Related Article: Axel Straube, Peter Coburger, Marvin Michak, Mark R. Ringenberg, Evamarie Hey-Hawkins|2020|Dalton Trans.|49|16667|doi:10.1039/D0DT02743J
DOI: 10.5517/ccdc.csd.cc24bhww
title: CCDC 1976308: Experimental Crystal Structure Determination

description: Related Article: Abhisek Banerjee, Snehasis Banerjee, Carlos J. Gomez Garcia, Samia Benmansour Souilamas, Shouvik Chattopadhyay|2020|Dalton Trans.|49|16778|doi:10.1039/D0DT02158J
DOI: 10.5517/ccdc.csd.cc24bhxx
title: CCDC 1976309: Experimental Crystal Structure Determination

description: Related Article: Abhisek Banerjee, Snehasis Banerjee, Carlos J. Gomez Garcia, Samia Benmansour Souilamas, Shouvik Chattopadhyay|2020|Dalton Trans.|49|16778|doi:10.1039/D0DT02158J
DOI: 10.5517/ccdc.csd.cc260kg8
title: CCDC 2026329: Experimental Crystal Structure Determination

description: Related Article: Ravi Shankar, Nidhi Mahavar|2020|Dalton Trans.|49|16633|doi:10.1039/D0DT03252B
DOI: 10.5517/ccdc.csd.cc261p87
title: CCDC 2027408: Experimental Crystal Structure Determination

description: Related Article: Ravi Shankar, Nidhi Mahavar|2020|Dalton Trans.|49|16633|doi:10.1039/D0DT03252B
DOI: 10.5517/ccdc.csd.cc25v259
title: CCDC 2021050: Experimental Crystal Structure Determination

description: Related Article: Ingo Koehne, Artur Lik, Miriam Gerstel, Clemens Bruhn, Johann Peter Reithmaier, Mohamed Benyoucef, Rudolf Pietschnig|2020|Dalton Trans.|49|16683|doi:10.1039/D0DT03047C
DOI: 10.5517/ccdc.csd.cc25v26b
title: CCDC 2021051: Experimental Crystal Structure Determination

description: Related Article: Ingo Koehne, Artur Lik, Miriam Gerstel, Clemens Bruhn, Johann Peter Reithmaier, Mohamed Benyoucef, Rudolf Pietschnig|2020|Dalton Trans.|49|16683|doi:10.1039/D0DT03047C
DOI: 10.5517/ccdc.csd.cc25v27c
title: CCDC 2021052: Experimental Crystal Structure Determination

description: Related Article: Ingo Koehne, Artur Lik, Miriam Gerstel, Clemens Bruhn, Johann Peter Reithmaier, Mohamed Benyoucef, Rudolf Pietschnig|2020|Dalton Trans.|49|16683|doi:10.1039/D0DT03047C
DOI: 10.21258/1476756
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 892899
DOI: 10.21258/1466813
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 898073
DOI: 10.34740/kaggle/dsv/1724951
title: US counties COVID 19 dataset
DOI: 10.5281/zenodo.4311391
title: Datasets for "Hydrodynamic and hydromagnetic energy spectra from large eddy simulations"

description: <pre>This directory contains an index.html file with links to the run directories and idl plotting routines with secondary data for the other figures for the paper "Hydrodynamic and hydromagnetic energy spectra from large eddy simulations" Haugen & Brandenburg. If anything turns our to be incomplete, please email brandenb@nordita.org.</pre>
DOI: 10.5281/zenodo.4311390
title: Datasets for "Hydrodynamic and hydromagnetic energy spectra from large eddy simulations"

description: <pre>This directory contains an index.html file with links to the run directories and idl plotting routines with secondary data for the other figures for the paper "Hydrodynamic and hydromagnetic energy spectra from large eddy simulations" Haugen & Brandenburg. If anything turns our to be incomplete, please email brandenb@nordita.org.</pre>
DOI: 10.21258/1477458
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 897620
DOI: 10.21258/1469322
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 897588
DOI: 10.21258/1440902
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 899368
DOI: 10.21258/1456535
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 899232
DOI: 10.21258/1442154
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 897143
DOI: 10.21258/1465247
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 902183
DOI: 10.21258/1453772
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 898005
DOI: 10.21258/1441122
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 891757
DOI: 10.21258/1479246
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 902130
DOI: 10.21258/1440698
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 897508
DOI: 10.21258/1458626
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 892973
DOI: 10.21258/1447369
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 899256
DOI: 10.21258/1433082
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 897679
DOI: 10.21258/1436261
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 898166
DOI: 10.18117/q4t3-hd90
title:  Supporting Data: Laboratory Experiments Contrasting Growth of Uniformly and Nonuniformly-Spaced Hydraulic Fractures
DOI: 10.21258/1433910
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 897016
DOI: 10.21258/1464356
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 898250
DOI: 10.21258/1434603
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 899614
DOI: 10.21258/1459975
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 898939
DOI: 10.5281/zenodo.4065399
title: Supporting data for "Dynamics of RNA polymerase II and elongation factor Spt4/5 recruitment during activator-dependent transcription"

description: Supporting data for <strong>Dynamics of RNA polymerase II and elongation factor Spt4/5 recruitment</strong> <strong>during activator-dependent transcription </strong> Grace A. Rosen<sup>a,1</sup>, Inwha Baek<sup>b,1</sup>, Larry J. Friedman<sup>a</sup>, Yoo Jin Joo<sup>b</sup>, Stephen Buratowski<sup>b,2</sup>, Jeff Gelles<sup>a,2</sup> <sup>a</sup>Department of Biochemistry, Brandeis University, Waltham, Massachusetts 02454, USA. <sup>b</sup>Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, Massachusetts 02115, USA. <sup>1</sup>Equal contributions <sup>2</sup>Corresponding authors: steveb@hms.harvard.edu; +1 (617) 432-0696 (S.B.) and gelles@brandeis.edu; +1 (781) 736-2377 (J.G.) See <strong>Source data index.pdf</strong> for description of files.
DOI: 10.5281/zenodo.4065398
title: Supporting data for "Dynamics of RNA polymerase II and elongation factor Spt4/5 recruitment during activator-dependent transcription"

description: Supporting data for <strong>Dynamics of RNA polymerase II and elongation factor Spt4/5 recruitment</strong> <strong>during activator-dependent transcription </strong> Grace A. Rosen<sup>a,1</sup>, Inwha Baek<sup>b,1</sup>, Larry J. Friedman<sup>a</sup>, Yoo Jin Joo<sup>b</sup>, Stephen Buratowski<sup>b,2</sup>, Jeff Gelles<sup>a,2</sup> <sup>a</sup>Department of Biochemistry, Brandeis University, Waltham, Massachusetts 02454, USA. <sup>b</sup>Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, Massachusetts 02115, USA. <sup>1</sup>Equal contributions <sup>2</sup>Corresponding authors: steveb@hms.harvard.edu; +1 (617) 432-0696 (S.B.) and gelles@brandeis.edu; +1 (781) 736-2377 (J.G.) See <strong>Source data index.pdf</strong> for description of files.
DOI: 10.21258/1456192
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 897764
DOI: 10.21227/2n8g-7e59
title: Real-world falls in Multiple Sclerosis (MS)

description: Falls are a major health problem with one in three people over the age of 65 falling each year, oftentimes causing hip fractures, disability, reduced mobility, hospitalization and death. A major limitation in fall detection algorithm development is an absence of real-world falls data. Fall detection algorithms are typically trained on simulated fall data that contain a well-balanced number of examples of falls and activities of daily living. However, real-world falls occur infrequently, making them difficult to capture and causing severe data imbalance. People with multiple sclerosis (MS) fall frequently, and their risk of falling increases with disease progression. Because of their high fall incidence, people with MS provide an ideal model for studying falls. This paper describes the development of a context-aware fall detection system based on inertial sensors and time of flight sensors that is robust to imbalance, which is trained and evaluated on real-world falls in people with MS. The algorithm uses an auto-encoder that detects fall candidates using reconstruction error of accelerometer signals followed by a hyper-ensemble of balanced random forests trained using both acceleration and movement features. On a clinical dataset obtained from 25 people with MS monitored over eight weeks during free-living conditions, 54 falls were observed and our system achieved a sensitivity of 92.14%, and false-positive rate of 0.65 false alarms per day.
DOI: 10.21227/najr-6238
title: Real-world falls in Multiple Sclerosis (MS)

description: Falls are a major health problem with one in three people over the age of 65 falling each year, oftentimes causing hip fractures, disability, reduced mobility, hospitalization and death. A major limitation in fall detection algorithm development is an absence of real-world falls data. Fall detection algorithms are typically trained on simulated fall data that contain a well-balanced number of examples of falls and activities of daily living. However, real-world falls occur infrequently, making them difficult to capture and causing severe data imbalance. People with multiple sclerosis (MS) fall frequently, and their risk of falling increases with disease progression. Because of their high fall incidence, people with MS provide an ideal model for studying falls. This paper describes the development of a context-aware fall detection system based on inertial sensors and time of flight sensors that is robust to imbalance, which is trained and evaluated on real-world falls in people with MS. The algorithm uses an auto-encoder that detects fall candidates using reconstruction error of accelerometer signals followed by a hyper-ensemble of balanced random forests trained using both acceleration and movement features. On a clinical dataset obtained from 25 people with MS monitored over eight weeks during free-living conditions, 54 falls were observed and our system achieved a sensitivity of 92.14%, and false-positive rate of 0.65 false alarms per day.
DOI: 10.21227/xcnr-nz43
title: Real-world falls in Multiple Sclerosis (MS)

description: Falls are a major health problem with one in three people over the age of 65 falling each year, oftentimes causing hip fractures, disability, reduced mobility, hospitalization and death. A major limitation in fall detection algorithm development is an absence of real-world falls data. Fall detection algorithms are typically trained on simulated fall data that contain a well-balanced number of examples of falls and activities of daily living. However, real-world falls occur infrequently, making them difficult to capture and causing severe data imbalance. People with multiple sclerosis (MS) fall frequently, and their risk of falling increases with disease progression. Because of their high fall incidence, people with MS provide an ideal model for studying falls. This paper describes the development of a context-aware fall detection system based on inertial sensors and time of flight sensors that is robust to imbalance, which is trained and evaluated on real-world falls in people with MS. The algorithm uses an auto-encoder that detects fall candidates using reconstruction error of accelerometer signals followed by a hyper-ensemble of balanced random forests trained using both acceleration and movement features. On a clinical dataset obtained from 25 people with MS monitored over eight weeks during free-living conditions, 54 falls were observed and our system achieved a sensitivity of 92.14%, and false-positive rate of 0.65 false alarms per day.
DOI: 10.21227/cgcg-1h22
title: Real-world falls in Multiple Sclerosis (MS)

description: Falls are a major health problem with one in three people over the age of 65 falling each year, oftentimes causing hip fractures, disability, reduced mobility, hospitalization and death. A major limitation in fall detection algorithm development is an absence of real-world falls data. Fall detection algorithms are typically trained on simulated fall data that contain a well-balanced number of examples of falls and activities of daily living. However, real-world falls occur infrequently, making them difficult to capture and causing severe data imbalance. People with multiple sclerosis (MS) fall frequently, and their risk of falling increases with disease progression. Because of their high fall incidence, people with MS provide an ideal model for studying falls. This paper describes the development of a context-aware fall detection system based on inertial sensors and time of flight sensors that is robust to imbalance, which is trained and evaluated on real-world falls in people with MS. The algorithm uses an auto-encoder that detects fall candidates using reconstruction error of accelerometer signals followed by a hyper-ensemble of balanced random forests trained using both acceleration and movement features. On a clinical dataset obtained from 25 people with MS monitored over eight weeks during free-living conditions, 54 falls were observed and our system achieved a sensitivity of 92.14%, and false-positive rate of 0.65 false alarms per day.
DOI: 10.6084/m9.figshare.13344470
title: Supplementary File 2

description: Genomic coordinates of Serratia marcescens FUP-coding genes
DOI: 10.6084/m9.figshare.13344470.v1
title: Supplementary File 2

description: Genomic coordinates of Serratia marcescens FUP-coding genes
DOI: 10.6084/m9.figshare.13344536
title: Supplementary File 4

description: Neighbor-joining tree of 433 FUP of <i>Serratia marcescens</i> along with 189 FUP from different Gram-negative bacteria with a Jones-Taylor-Thorton substitution matrix with pairwise deletion and 1000 bootstraps using MEGA X
DOI: 10.6084/m9.figshare.13344491
title: Supplementary File 3

description: Neighbor-joining tree of 433 FUP of <i>Serratia marcescens</i> with a Jones-Taylor-Thorton substitution matrix with pairwise deletion and 1000 bootstraps using MEGA X
DOI: 10.6084/m9.figshare.13344536.v1
title: Supplementary File 4

description: Neighbor-joining tree of 433 FUP of <i>Serratia marcescens</i> along with 189 FUP from different Gram-negative bacteria with a Jones-Taylor-Thorton substitution matrix with pairwise deletion and 1000 bootstraps using MEGA X
DOI: 10.6084/m9.figshare.13344491.v1
title: Supplementary File 3

description: Neighbor-joining tree of 433 FUP of <i>Serratia marcescens</i> with a Jones-Taylor-Thorton substitution matrix with pairwise deletion and 1000 bootstraps using MEGA X
DOI: 10.21258/1438616
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 898974