cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.1444439.v1
title: Dataset for topographic and bioclimatic determinants of the occurrence of forest and grassland in tropical montane forest-grassland mosaics of the Western Ghats, India

description: Raw dataset used in analysis for topographic and bioclimatic determinants of vegetation pattern in montane forest grassland mosaics of the Western Ghats, India.
DOI: 10.6084/m9.figshare.1444440.v1
title: Hello

description: hello
DOI: 10.6084/m9.figshare.1444405
title: Dataset for Mobile Phone Sensing Based Fall Detection

description: This is a labelled dataset of mobile phone integrated accelerometer and gyroscope sensor data, in which falls and activities of daily life (ADL) were simulated as realistically as possible by martial artists. 5 different mobile phone devices were used for the recordings:<br>Samsung Galaxy S4<br>Samsumg Galaxy S5 Mini<br>Sony Z3<br>Google Nexus 4<br>Google Nexus 5<br>Sampling Frequency: 5Hz, for both accelerometer and gyroscope sensors Simulation of falls and ADL<br>We recorded eight simulations, seven incorporating a fall and one simulation with ADL. The simulations were performed by five martial artists in parallel. Each simulation was repeated five times. The simulations were repeated with a second group of martial artists.<br>Each martial artist was equipped with a belt bag in which the mobile device was put into. Dataset Content<br>13 Tables<br>DEVICE_ALL_ACCELERATION ... acceleration data of all devices<br>DEVICE_ALL_ORIENTATION ... orientation data of all devices<br>DEVICE_{modelname}_ACCELERATION ... acceleration data of a single device<br>DEVICE_{modelname}_ORIENTATION ... orientation data of a single device<br>MANUAL_LABELS ... manually labelled activities Datatypes<br>Acceleration is stored as a three dimensional vector indicating acceleration along each device axis, not including gravity. All values have units of m/s^2. Addtionally, the total acceleration from the vector is stored. Formula: squared root of (x^2 + y^2 + z^2) Orientation is stored as three dimensional vector of angles azimuth, pitch and roll. All values are angles in degrees. Azimuth, angle between the magnetic north direction and the y-axis, around the z-axis (0 to 359). 0=North, 90=East, 180=South, 270=West<br>Pitch, rotation around x-axis (-180 to 180), with positive values when the z-axis moves toward the y-axis.<br>Roll, rotation around y-axis (-90 to 90), with positive values when the x-axis moves toward the z-axis.<br>Note: This definition is different from yaw, pitch and roll used in aviation where the X axis is along the long side of the plane (tail to nose). Timestamps are in milliseconds (unix epoch time). Stats<br>159300 acceleration records<br>159300 orientation records<br>492 labels<br>~ 6 six hours of fall simulations<br>~ 4 hours of ADL simulations ACKNOWLEDGEMENTS The Knowledge Technologies Institute is part of the Faculty of Computer Science and Biomedical Engineering at the Graz University of Technology. The Know-Center is funded within the Austrian COMET Program under the auspices of the Austrian Ministry of Transport, Innovation and Technology, the Austrian Ministry of Economics and Labor and by the State of Styria. COMET is managed by the Austrian Research Promotion Agency FFG. The DALIA project (AAL-2012-5-249) is co-financed under the Ambient Assisted Living Joint Programme of the European Commission (www.aal-europe.eu) and the National Funding Agencies of Austria, Belgium, Netherlands and Switzerland. The authors also wish to thank the martial artists of the Ninpo Bujutsu Club Graz, for simulating so many falls.
DOI: 10.6084/m9.figshare.1444427.v1
title: The community-based survey in Jiaxing, China, 2010

description: This study examines the associations of socioeconomic status (SES) with intensity of different types of physical activity (PA) in Chinese adults, aimed at outlining and projecting socioeconomic disparities in PA among the population undergoing a rapid nutrition transition. A community-based survey was conducted among 3,567 residents aged 30-65 years old in Jiaxing, China, in 2010. SES and PA were assessed by a structured questionnaire. SES was assessed as socioeconomic index (SEI) score based on self-reported educational attainment, household income and occupation. Metabolic equivalents (METs) were calculated for each subject to quantify the total amount of PA from occupation, exercise, transportation and housework.
DOI: 10.6084/m9.figshare.1444400
title: Gaussian Job Archive for C20H20Cl2O6

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1444427.v2
title: The community-based survey in Jiaxing, China, 2010

description: This study examines the associations of socioeconomic status (SES) with intensity of different types of physical activity (PA) in Chinese adults, aimed at outlining and projecting socioeconomic disparities in PA among the population undergoing a rapid nutrition transition. A community-based survey was conducted among 3,567 residents aged 30-65 years old in Jiaxing, China, in 2010. SES and PA were assessed by a structured questionnaire. SES was assessed as socioeconomic index (SEI) score based on self-reported educational attainment, household income and occupation. Metabolic equivalents (METs) were calculated for each subject to quantify the total amount of PA from occupation, exercise, transportation and housework.
DOI: 10.5517/ccdc.csd.cc25k520
title: CCDC 2012491: Experimental Crystal Structure Determination

description: Related Article: Pokpong Rungthanaphatsophon, Alexander J. Gremillion, Yuzhong Wang, Steven P. Kelley, Gregory H. Robinson, Justin R. Walensky|2021|Inorg.Chim.Acta|514|120033|doi:10.1016/j.ica.2020.120033
DOI: 10.21227/debj-av53
title: ExoNet Database: Wearable Camera Images of Human Locomotion Environments

description: Abstract: Advances in computer vision and artificial intelligence are allowing researchers to develop environment recognition systems for powered lower-limb exoskeletons and prostheses. However, small-scale and private training datasets have impeded the widespread development and dissemination of image classification algorithms for classifying human walking environments. To address these limitations, we developed “ExoNet” - the first open-source, large-scale hierarchical database of high-resolution wearable camera images of human locomotion environments. Unparalleled in scale and diversity, ExoNet contains over 5.6 million RGB images of different indoor and outdoor real-world walking environments, which were collected using a lightweight wearable camera system throughout the summer, fall, and winter seasons. Approximately 923,000 images in ExoNet were human-annotated using a 12-class hierarchical labelling architecture. Available publicly through IEEE DataPort, ExoNet offers an unprecedented communal platform to train, develop, and compare next-generation image classification algorithms for human locomotion environment recognition. Besides the control of powered lower-limb exoskeletons and prostheses, applications of ExoNet could extend to humanoid and autonomous legged robotics.Reference: Laschowski B, McNally W, Wong A, and McPhee J. (2020). ExoNet Database: Wearable Camera Images of Human Locomotion Environments. Frontiers in Robotics and Artificial Intelligence. Under Review.
DOI: 10.15161/oar.it/73167
title: CovidStat project data

description: This record contains the daily updated data of the CovidStat project. CovidStat is a project carried out by the CovidStat Working Group at INFN, whose creation was promoted within the Italian National Institute of Nuclear Physics with the aim of making a statistical analysis of the data provided daily by the Civil Protection on the spread of the pandemic in Italy. CovidStat data can interactively be browsed at https://covid19.infn.it.
description: The software to process this Root TTree is in the related identifier. Be sure to use the right corresponding version, based on the data in which Root TTree was generated.
DOI: 10.6084/m9.figshare.13066031
title: Metallic lens paper

description: Data for the "1-D axicon lens based on parallel-plate waveguides for terahertz frequencies" paper
DOI: 10.5281/zenodo.4072981
title: Alteration of gut microbiota with rifampicin does not impair maternal care in the European earwig

description: Dataset and R script used in the publication "Alteration of gut microbiota with rifampicin does not impair maternal care in the European earwig"
description: This research has been supported by a research grant from the French Ministry of Research (to S.V.M.) and a research grant from the ANR (project MicroSoc to J.M.)
DOI: 10.5281/zenodo.4072975
title: Filtered Brain Cortex scRNAseq Seurat Object

description: Filtered Brain Cortex scRNAseq Seurat Object
DOI: 10.5281/zenodo.4072974
title: Filtered Brain Cortex scRNAseq Seurat Object

description: Filtered Brain Cortex scRNAseq Seurat Object
DOI: 10.6084/m9.figshare.13058471
title: R0170_20170711a_videos

description: Rat 0170, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.13064234.v1
title: R0183_20170808a_videos

description: Rat 0183, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.13064234
title: R0183_20170808a_videos

description: Rat 0183, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.5519/qd.10wuaiee
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (4662272 records)
DOI: 10.5523/bris.2bcpmkslk93a52gp8mb5tzh9j4
title: Data from EWAS of ALSPAC variables (09-2020)

description: Epigenome wide association studies have been performed on 400 traits in the Avon Longitudinal Study of Parents and Children (EWAS). Full details are presented in the following paper:
DOI: 10.15161/oar.it/73169
title: CovidStat project data

description: This record contains the daily updated data of the CovidStat project. CovidStat is a project carried out by the CovidStat Working Group at INFN, whose creation was promoted within the Italian National Institute of Nuclear Physics with the aim of making a statistical analysis of the data provided daily by the Civil Protection on the spread of the pandemic in Italy. CovidStat data can interactively be browsed at https://covid19.infn.it.
description: The software to process this Root TTree is in the related identifier. Be sure to use the right corresponding version, based on the data in which Root TTree was generated.
DOI: 10.5519/qd.sjey8f3v
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5517/ccdc.csd.cc1q2lv7
title: CCDC 1581429: Experimental Crystal Structure Determination

description: Related Article: Stefan Born, Andreas Terfort, Jan W. Bats|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc24980r
title: CCDC 1975103: Experimental Crystal Structure Determination

description: Related Article: Zexu Wang, Yiping Zeng, Xiaofan Wu, Zihan Li, Yuan Tao, Xiaomin Yu, Zedu Huang, Fener Chen|2020|Org.Biomol.Chem.|18|2672|doi:10.1039/D0OB00379D
DOI: 10.5517/ccdc.csd.cc24984w
title: CCDC 1975107: Experimental Crystal Structure Determination

description: Related Article: Zexu Wang, Yiping Zeng, Xiaofan Wu, Zihan Li, Yuan Tao, Xiaomin Yu, Zedu Huang, Fener Chen|2020|Org.Biomol.Chem.|18|2672|doi:10.1039/D0OB00379D
DOI: 10.5517/ccdc.csd.cc2597b2
title: CCDC 2004873: Experimental Crystal Structure Determination

description: Related Article: Hua Lu|2020|CSD Communication|||
description: Related Article: Wei Xiong, Wenying Chang, Dong Shi, Lijiang Yang, Ziyou Tian, Hao Wang, Zhengchu Zhang, Xuhao Zhou, Er-Qiang Chen, Hua Lu|2020|Cell Press: Chem|6|1831|doi:10.1016/j.chempr.2020.06.003
DOI: 10.5517/ccdc.csd.cc25fv1j
title: CCDC 2009297: Experimental Crystal Structure Determination

description: Related Article: Jia-Pan Niu, Jing Nie, Shen Li, Jun-An Ma|2020|Chem.Commun.|56|8687|doi:10.1039/D0CC02213F
description: Related Article: Shen Li|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc25fv3l
title: CCDC 2009299: Experimental Crystal Structure Determination

description: Related Article: Jordan R. Ulibarri-Sanchez, Diane A. Dickie, Richard A. Kemp|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc25fwfy
title: CCDC 2009340: Experimental Crystal Structure Determination

description: Related Article: Mikhail Minyaev|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc25fzyk
title: CCDC 2009449: Experimental Crystal Structure Determination

description: Related Article: Md. Mahbubul Alam|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc25g0xl
title: CCDC 2009479: Experimental Crystal Structure Determination

description: Related Article: Christopher A. Larsen, Diane A. Dickie, Richard A. Kemp|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc25g0ym
title: CCDC 2009480: Experimental Crystal Structure Determination

description: Related Article: Jerome Lisena, Diane A. Dickie, Karen I. Goldberg, Richard A. Kemp|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc25g2d4
title: CCDC 2009525: Experimental Crystal Structure Determination

description: Related Article: Akachukwu D. Obi, Diane A. Dickie, Robert J. Gilliard Jr.|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc25g2f5
title: CCDC 2009526: Experimental Crystal Structure Determination

description: Related Article: Akachukwu D. Obi, Diane A. Dickie, Robert J. Gilliard Jr.|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc25g2g6
title: CCDC 2009527: Experimental Crystal Structure Determination

description: Related Article: Akachukwu D. Obi, Diane A. Dickie, Robert J. Gilliard Jr.|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc25g4h9
title: CCDC 2009590: Experimental Crystal Structure Determination

description: Related Article: Ya-Wen Zhang,  Sha Bai,  Yao-Yu Wang,  Ying-Feng Han|2020|J.Am.Chem.Soc.|142|13614|doi:10.1021/jacs.0c06470
description: Related Article: Guangfeng Jin|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc25g5nh
title: CCDC 2009626: Experimental Crystal Structure Determination

description: Related Article: Khetpakorn Chakarawet|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc25hq6m
title: CCDC 2011100: Experimental Crystal Structure Determination

description: Related Article: Ulrich Schubert|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc25hq7n
title: CCDC 2011101: Experimental Crystal Structure Determination

description: Related Article: Ulrich Schubert|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc25hq8p
title: CCDC 2011102: Experimental Crystal Structure Determination

description: Related Article: Ulrich Schubert|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26611j
title: CCDC 2031586: Experimental Crystal Structure Determination

description: Related Article: Arnold L. Rheingold, Daniel Rabinovich and James A. Golen|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26615n
title: CCDC 2031590: Experimental Crystal Structure Determination

description: Related Article: Arnold L. Rheingold, Daniel Rabinovich and James A. Golen|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26618r
title: CCDC 2031593: Experimental Crystal Structure Determination

description: Related Article: Frank R. Fronczek|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2663wf
title: CCDC 2031674: Experimental Crystal Structure Determination

description: Related Article: Arnold L. Rheingold, Daniel Rabinovich and James A. Golen|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2663xg
title: CCDC 2031675: Experimental Crystal Structure Determination

description: Related Article: Arnold L. Rheingold, Daniel Rabinovich and James A. Golen|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26640l
title: CCDC 2031678: Experimental Crystal Structure Determination

description: Related Article: Arnold L. Rheingold, Daniel Rabinovich and James A. Golen|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26641m
title: CCDC 2031679: Experimental Crystal Structure Determination

description: Related Article: Arnold L. Rheingold, Daniel Rabinovich and James A. Golen|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26642n
title: CCDC 2031680: Experimental Crystal Structure Determination

description: Related Article: Arnold L. Rheingold, Daniel Rabinovich and James A. Golen|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26644q
title: CCDC 2031682: Experimental Crystal Structure Determination

description: Related Article: Arnold L. Rheingold, Daniel Rabinovich and James A. Golen|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc266zt7
title: CCDC 2032509: Experimental Crystal Structure Determination

description: Related Article: Peter G. Jones, Constantin-Gabriel Daniliuc, Ann Christin Fecker, Marc D. Walter|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc266zv8
title: CCDC 2032510: Experimental Crystal Structure Determination

description: Related Article: Peter G. Jones, Constantin-Gabriel Daniliuc, Ann Christin Fecker, Marc D. Walter|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc266zw9
title: CCDC 2032511: Experimental Crystal Structure Determination

description: Related Article: Peter G. Jones, Constantin-Gabriel Daniliuc, Ann Christin Fecker, Marc D. Walter|2020|CSD Communication|||
DOI: 10.5281/zenodo.3746000
title: MALDI-TOF-MS spectra of historical whale skeletons from the Museum of Zoology, Strasbourg

description: Spectra data from historical whale skeletons from the Museum. Samples were acid demineralized followed by gelatinization, digestion with trypsin, and peptide purification on C18 filters. They were run on on Bruker autoflex MALDI-TOF-MS. Mzml file formats for the raw data are provided here along with a file information csv file which provides the identification of the samples.<br> <br> For more information see the associated publciation.
DOI: 10.5281/zenodo.3745999
title: MALDI-TOF-MS spectra of historical whale skeletons from the Museum of Zoology, Strasbourg

description: Spectra data from historical whale skeletons from the Museum. Samples were acid demineralized followed by gelatinization, digestion with trypsin, and peptide purification on C18 filters. They were run on on Bruker autoflex MALDI-TOF-MS. Mzml file formats for the raw data are provided here along with a file information csv file which provides the identification of the samples.<br> <br> For more information see the associated publciation.
DOI: 10.5281/zenodo.4014998
title: Greenland Peregrine Falcon eggshell thickness monitoring data 1972 - 2019

description: The Peregrine Falcon (Falco peregrinus tundrius) population in Greenland has been monitored in different survey areas in South and West Greenland since 1972. At visits to Peregrine Falcon nests, eggshell fragments from hatched eggs as well as addled (dead) eggs left behind have been collected with the aim of monitoring the thickness of the eggshells as well as analysing the whole eggs for contaminants. The shell thickness serves as a proxy for the falcons’ exposure to certain persistant organic pollutants, in particular DDT and its breakdown products (see summaries in Cade et al. 1988). This data set contains the raw data on 6665 eggshell thickness measurements of:<br> 1. Whole eggs from South Greenland 1986-2015<br> 2. Eggshell fragments from the study area in South Greenland 1981-2019<br> 3. Eggshell fragments from the study area around Kangerlussuaq in West Greenland 1972-1989 The data set contains a mix of measurements of shell thickness including or excluding the eggshell membranes from the same clutch of eggs. Based on those measurements the average membrane thickness is 0.071 mm (SD=0.013) – a figure confirmed by other studies – and this ’membrane factor’ can be added or subtracted for comparisons with other data sets. Further details regarding the sampling areas, measurement methods and the results of trends analyses of changes in shell thickness are provided in Falk et al. (2006 and 2018). The file named <em>1_Data_Eggshell_Thickness_1972-2019.csv</em> contains the raw measurements data and the file <em>2_ReadMe_Eggshell_Thickness_1972-2019.txt</em> specifies the content. The file named <em>3_Rscript_Eggshell_Thickness_1972-2019.R</em> provides an R script for summarizing and plotting the data as shown in the file <em>4_Plot_Eggshell_Thickness_1972-2019.pdf</em>
description: Funded by the Danish Environmental Protection Agency as part of its Arctic Environmental Support Program.
description: {"references": ["Cade, T., Enderson, J., Thelander, C. & White, C. (eds.) 1988. Peregrine Falcon populations \u2013 their management and recovery. \u2013 The Peregrine Fund, Idaho", "Falk, K., M\u00f8ller, S., & Matox, W. G. (2006). A long-term increase in eggshell thickness of Greenlandic Peregrine Falcons Falco peregrinus tundrius. Science of the Total Environment, 355(1-3), 127. https://doi.org/10.1016/j.scitotenv.2005.02.024", "Falk, K., M\u00f8ller, S., Rig\u00e9t, F. F., S\u00f8rensen, P. B., & Vorkamp, K. (2019). Raptors are still affected by environmental pollutants: Greenlandic Peregrines will not have normal eggshell thickness until 2034. Ornis Hungarica, 26(2), 171-176. https://doi.org/10.1515/orhu-2018-0026"]}
DOI: 10.5281/zenodo.4014997
title: Greenland Peregrine Falcon eggshell thickness monitoring data 1972 - 2019

description: The Peregrine Falcon (Falco peregrinus tundrius) population in Greenland has been monitored in different survey areas in South and West Greenland since 1972. At visits to Peregrine Falcon nests, eggshell fragments from hatched eggs as well as addled (dead) eggs left behind have been collected with the aim of monitoring the thickness of the eggshells as well as analysing the whole eggs for contaminants. The shell thickness serves as a proxy for the falcons’ exposure to certain persistant organic pollutants, in particular DDT and its breakdown products (see summaries in Cade et al. 1988). This data set contains the raw data on 6665 eggshell thickness measurements of:<br> 1. Whole eggs from South Greenland 1986-2015<br> 2. Eggshell fragments from the study area in South Greenland 1981-2019<br> 3. Eggshell fragments from the study area around Kangerlussuaq in West Greenland 1972-1989 The data set contains a mix of measurements of shell thickness including or excluding the eggshell membranes from the same clutch of eggs. Based on those measurements the average membrane thickness is 0.071 mm (SD=0.013) – a figure confirmed by other studies – and this ’membrane factor’ can be added or subtracted for comparisons with other data sets. Further details regarding the sampling areas, measurement methods and the results of trends analyses of changes in shell thickness are provided in Falk et al. (2006 and 2018). The file named <em>1_Data_Eggshell_Thickness_1972-2019.csv</em> contains the raw measurements data and the file <em>2_ReadMe_Eggshell_Thickness_1972-2019.txt</em> specifies the content. The file named <em>3_Rscript_Eggshell_Thickness_1972-2019.R</em> provides an R script for summarizing and plotting the data as shown in the file <em>4_Plot_Eggshell_Thickness_1972-2019.pdf</em>
description: Funded by the Danish Environmental Protection Agency as part of its Arctic Environmental Support Program.
description: {"references": ["Cade, T., Enderson, J., Thelander, C. & White, C. (eds.) 1988. Peregrine Falcon populations \u2013 their management and recovery. \u2013 The Peregrine Fund, Idaho", "Falk, K., M\u00f8ller, S., & Matox, W. G. (2006). A long-term increase in eggshell thickness of Greenlandic Peregrine Falcons Falco peregrinus tundrius. Science of the Total Environment, 355(1-3), 127. https://doi.org/10.1016/j.scitotenv.2005.02.024", "Falk, K., M\u00f8ller, S., Rig\u00e9t, F. F., S\u00f8rensen, P. B., & Vorkamp, K. (2019). Raptors are still affected by environmental pollutants: Greenlandic Peregrines will not have normal eggshell thickness until 2034. Ornis Hungarica, 26(2), 171-176. https://doi.org/10.1515/orhu-2018-0026"]}