cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/oeef37/6tsgng
title: overall_plots.R

description: :unav
DOI: 10.7910/dvn/oeef37/btitiq
title: Tomz_2007_dlabss_replication.tab

description: :unav
DOI: 10.7910/dvn/oeef37/k4vff3
title: S3_Appendix_Table_C.tab

description: :unav
DOI: 10.7910/dvn/oeef37/oa3wre
title: overall_plots_no_controls.R

description: :unav
DOI: 10.7910/dvn/oeef37/pblcws
title: S3_Appendix_Table_A.tab

description: :unav
DOI: 10.7910/dvn/oeef37/qrzxuo
title: S3_Appendix_Table_B.tab

description: :unav
DOI: 10.7910/dvn/oeef37/w9wtwk
title: recode_demographics.R

description: :unav
DOI: 10.7910/dvn/oeef37/7qnav5
title: readme.txt

description: :unav
DOI: 10.7910/dvn/oeef37/l3lxsy
title: table_replication_functions.R

description: :unav
DOI: 10.7910/dvn/oeef37/mzaxnr
title: main_replication_file.R

description: :unav
DOI: 10.25345/c5pq1b
title: MassIVE MSV000084386 - Toolik Field Station Arctic Alaska soil metaproteomics
title: These metaproteomic datasets are from active layer soil samples collected from the area of Toolik Field Station, Arctic Alaska, USA. These datasets are described and analyzed in the forthcoming paper, "Functional partitioning and vegetational variation among Arctic soil bacteria revealed by metaproteomics."
DOI: 10.25919/5d8d967ce6664
title: Manipulation Benchmark

description: A dataset of robotic manipulation tasks. The tasks are recordings of environmental interactions performed by a robotic manipulator. The recorded information includes 6DOF position from motion capture, contact forces and torques, and joint torques. Included in the dataset are task protocols, raw data, summarised data and video recordings of the task.
DOI: 10.3886/e111941
title: The Community Navigator Study: A feasibility randomised controlled trial of a programme to reduce loneliness for people with complex anxiety or depression

description: The Community Navigator programme was designed to reduce loneliness for people with complex depression or anxiety who were using secondary mental health services. Acceptability and feasibility of the programme and a trial evaluation were tested in a feasibility randomised controlled trial with qualitative evaluation. Forty participants with depression or anxiety using secondary mental health services were recruited from mental health services in two London sites and randomised to receive: the Community Navigator programme over six months in addition to routine care (n=30); or routine care (n=10). Measures of loneliness, depression, other clinical and social outcomes and service use were collected at baseline and six-months follow-up. Levels of engagement in the programme and rates of trial recruitment and retention were assessed. Programme delivery was assessed through session logs completed by Community Navigators. The acceptability of the programme was explored through qualitative interviews (n=32) with intervention group participants, their family and friends, programme providers and other involved staff.
DOI: 10.3886/e111941v1
title: The Community Navigator Study: A feasibility randomised controlled trial of a programme to reduce loneliness for people with complex anxiety or depression

description: The Community Navigator programme was designed to reduce loneliness for people with complex depression or anxiety who were using secondary mental health services. Acceptability and feasibility of the programme and a trial evaluation were tested in a feasibility randomised controlled trial with qualitative evaluation. Forty participants with depression or anxiety using secondary mental health services were recruited from mental health services in two London sites and randomised to receive: the Community Navigator programme over six months in addition to routine care (n=30); or routine care (n=10). Measures of loneliness, depression, other clinical and social outcomes and service use were collected at baseline and six-months follow-up. Levels of engagement in the programme and rates of trial recruitment and retention were assessed. Programme delivery was assessed through session logs completed by Community Navigators. The acceptability of the programme was explored through qualitative interviews (n=32) with intervention group participants, their family and friends, programme providers and other involved staff.
DOI: 10.5281/zenodo.3460622
title: Experimentaldaten zu: Experimentelle Untersuchung der Auswirkung von räumlicher Trennung von Teammitgliedern auf das Lösen von Logikaufgaben

description: Experimentaldaten zur Bachelorarbeit "Experimentelle Untersuchung der Auswirkung von räumlicher Trennung von Teammitgliedern auf das Lösen von Logikaufgaben". In der Arbeit wurde das Kontaktverhalten von Teammitgliedern beim Lösen von Logikaufgaben untersucht, wenn ihre Kommunikationsmittel auf das Telefon beschränkt werden. 27 Studenten wurden damit beauftragt Logikaufgaben zu lösen, wobei bei manchen eine Kontaktaufnahme zum Versuchsleiter notwendig war. Hier wurde die Hemmschwelle der Kontaktaufnahme untersucht.
description: {"references": ["Heim, T. (2019). Experimentelle Untersuchung der Auswirkung von r\u00e4umlicher Trennung von Teammitgliedern auf das L\u00f6sen von Logikaufgaben (Bachelorarbeit, Softwaretechnik)."]}
DOI: 10.5281/zenodo.3460623
title: Experimentaldaten zu: Experimentelle Untersuchung der Auswirkung von räumlicher Trennung von Teammitgliedern auf das Lösen von Logikaufgaben

description: Experimentaldaten zur Bachelorarbeit "Experimentelle Untersuchung der Auswirkung von räumlicher Trennung von Teammitgliedern auf das Lösen von Logikaufgaben". In der Arbeit wurde das Kontaktverhalten von Teammitgliedern beim Lösen von Logikaufgaben untersucht, wenn ihre Kommunikationsmittel auf das Telefon beschränkt werden. 27 Studenten wurden damit beauftragt Logikaufgaben zu lösen, wobei bei manchen eine Kontaktaufnahme zum Versuchsleiter notwendig war. Hier wurde die Hemmschwelle der Kontaktaufnahme untersucht.
description: {"references": ["Heim, T. (2019). Experimentelle Untersuchung der Auswirkung von r\u00e4umlicher Trennung von Teammitgliedern auf das L\u00f6sen von Logikaufgaben (Bachelorarbeit, Softwaretechnik)."]}
DOI: 10.21227/yknt-1545
title: A Benchmark Dataset for Manipuri Meetei-Mayek Handwritten Character Recognition

description: A benchmark dataset is always required for any classification or recognition system. To the best of our knowledge, no benchmark dataset exists for handwritten character recognition of Manipuri Meetei-Mayek script in public domain so far.Manipuri, also referred to as Meeteilon or sometimes Meiteilon, is a Sino-Tibetan language and also one of the Eight Scheduled languages of Indian Constitution. It is the official language and lingua franca of the southeastern Himalayan state of Manipur, in northeastern India. This language is also used by a significant number of people as their communicating language over the north-east India, and some parts of Bangladesh and Myanmar. It is the most widely spoken language in Northeast India after Bengali and Assamese languages.In this work, we introduce a handwritten Manipuri Meetei-Mayek character dataset which consists of more than 5000 data samples which were collected from a diverse population group that belongs to different age groups (from 4 years to 60 years), genders, educational backgrounds, occupations, communities from three different districts of Manipur, India (Imphal East District, Thoubal District and Kangpokpi District) during March and April 2019. Each individual was asked to write down all the Manipuri characters on one A4-size paper. The recorded responses are scanned with the help of a scanner and then each character is manually segmented from the scanned images.This dataset consists of segmented scanned images of handwritten Manipuri Meetei-Mayek characters (Mapi Mayek, Lonsum Mayek, Cheitap Mayek, Cheising Mayek, Khutam Mayek) of size 128X128 pixels in .JPG format as well as in .MAT format.
DOI: 10.7910/dvn/as5ynb/gcajyf
title: HAALSI_HCAP_Informant.tab

description: Informant Interview Dataset
DOI: 10.7910/dvn/as5ynb/zemjc5
title: HCAP_Questionnaire_Informant_8.19.19.pdf

description: Informant Interview Questionnaire Text
DOI: 10.17632/3337bdvx3v.1
title: A Benchmark Dataset for Manipuri Meetei-Mayek Handwritten Character Recognition

description: We introduce a handwritten Manipuri Meetei-Mayek script dataset consiting of more than 5000 data samples which were collected from a diverse population group among three different districts of Manipur, India during March and April 2019. The whole dataset is divided into five categories: 1. Mapi Mayek 2. Lonsum Mayek 3. Cheitap Mayek 4. Cheising Mayek 5. Khutam Mayek.
DOI: 10.7910/dvn/as5ynb/3mozis
title: HAALSI_HCAP_Respondent.tab

description: Respondent Interview Dataset
DOI: 10.7910/dvn/as5ynb/fle5tp
title: HAALSI_ HCAP_RESPONDENT_8.15.19.pdf

description: Respondent Interview Codebook
DOI: 10.7910/dvn/as5ynb/fx0saz
title: HCAP_Questionnaire_Respondent_8.19.19.pdf

description: Respondent Interview Questionnaire Text
DOI: 10.7910/dvn/as5ynb/riql0f
title: Harmonization_DUA.pdf

description: HCAP Data Use Agreement
DOI: 10.7910/dvn/as5ynb/sohytt
title: HAALSI_HCAP_INFORMANT_8.15.19.pdf

description: Informant Interview Codebook
DOI: 10.17632/3337bdvx3v.2
title: A Benchmark Dataset for Manipuri Meetei-Mayek Handwritten Character Recognition

description: A benchmark dataset is always required for any machine learning based classification or recognition system. To the best of our knowledge, no benchmark dataset exists for handwritten character recognition of Manipuri Meetei-Mayek script in public domain so far. In this work, we introduce a handwritten Manipuri Meetei-Mayek script dataset consiting of more than 5000 data samples which were collected from a diverse population group among three different districts of Manipur, India during March and April 2019. The whole dataset is divided into five categories: 1. Mapi Mayek 2. Lonsum Mayek 3. Cheitap Mayek 4. Cheising Mayek 5. Khutam Mayek. This dataset consists of scanned images of handwritten Manipuri Meetei-Mayek characters in .JPG format as well as in .MAT format.
DOI: 10.17632/3337bdvx3v.3
title: A Benchmark Dataset for Manipuri Meetei-Mayek Handwritten Character Recognition

description: A benchmark dataset is always required for any machine learning based classification or recognition system. To the best of our knowledge, no benchmark dataset exists for handwritten character recognition of Manipuri Meetei-Mayek script in public domain so far. In this work, we introduce a handwritten Manipuri Meetei-Mayek character dataset which consists of more than 5000 data samples which were collected from a diverse population group among three different districts of Manipur, India (Imphal East District, Thoubal District and Kamjong District) during March and April 2019. Each individual was asked to write all the Manipuri characters on one A4-size paper. The recorded responses are scanned with the help of a scanner and then each character is manually segmented from the scanned image. The whole dataset is divided into five categories: 1. Mapi Mayek 2. Lonsum Mayek 3. Cheitap Mayek 4. Cheising Mayek 5. Khutam Mayek. This dataset consists of scanned images of handwritten Manipuri Meetei-Mayek characters in .JPG format as well as in .MAT format.
DOI: 10.17632/vv8rmfb3zx.1
title: Competition, Markups, and Gains from Trade: A Quantitative Analysis of China Between 1995 and 2004

description: The files in this directory replicate the results in the paper “Competition, Markups, and Gains from Trade: A Quantitative Analysis of China Between 1995 and 2004” by Wen-Tai Hsu, Yi Lu, and Guiying Laura Wu.
DOI: 10.17632/zjfbbztc6b.4
title: Villach Dobratsch February 2019

description: PV output power distribution; comparison between Villach (low altitude) and Dobratsch (high altitude); February 2019; Columns: hour, minute, second, azimuth, elevation, power The setup and experiment description for this dataset is documented in the paper Jelenko Karpic, Ekanki Sharma, Tamer Khatib, and Wilfried Elmenreich. Comparison of solar power measurements in alpine areas using a mobile dual-axis tracking system. Proceedings of the 8th DACH+ Conference on Energy Informatics, Salzburg, Austria, September 2019. The paper will be published in September 2019. Please contact us per email for a pre-print of the paper, we are happy to discuss and share our results. Link to publication: https://resource-cms.springernature.com/springer-cms/rest/v1/content/17197556/data/v1
DOI: 10.21227/g7f5-sy03
title: IoT network intrusion dataset

description: We created various types of network attacks in Internet of Things (IoT) environment for academic purpose. Two typical smart home devices -- SKT NUGU (NU 100) and EZVIZ Wi-Fi Camera (C2C Mini O Plus 1080P) -- were used. All devices, including some laptops or smart phones, were connected to the same wireless network. The dataset consists of 42 raw network packet files (pcap) at different time points.* The packet files are captured by using monitor mode of wireless network adapter. The wireless headers are removed by Aircrack-ng.* All attacks except Mirai Botnet category are the packets captured while simulating attacks using tools such as Nmap. The case of Mirai Botnet category, the attack packets were generated on a laptop and then manipulated to make it appear as if it originated from the IoT device.
DOI: 10.17632/3337bdvx3v.4
title: A Benchmark Dataset for Manipuri Meetei-Mayek Handwritten Character Recognition

description: A benchmark dataset is always required for any classification or recognition system. To the best of our knowledge, no benchmark dataset exists for handwritten character recognition of Manipuri Meetei-Mayek script in public domain so far. Manipuri, also referred to as Meeteilon or sometimes Meiteilon, is a Sino-Tibetan language and also one of the Eight Scheduled languages of Indian Constitution. It is the official language and lingua franca of the southeastern Himalayan state of Manipur, in northeastern India. This language is also used by a significant number of people as their communicating language over the north-east India, and some parts of Bangladesh and Myanmar. It is the most widely spoken language in Northeast India after Bengali and Assamese languages. In this work, we introduce a handwritten Manipuri Meetei-Mayek character dataset which consists of more than 5000 data samples which were collected from a diverse population group that belongs to different age groups (from 4 years to 60 years), genders, educational backgrounds, occupations, communities from three different districts of Manipur, India (Imphal East District, Thoubal District and Kangpokpi District) during March and April 2019. Each individual was asked to write down all the Manipuri characters on one A4-size paper. The recorded responses are scanned with the help of a scanner and then each character is manually segmented from the scanned images. The whole dataset consists of five categories: 1. Mapi Mayek 2. Lonsum Mayek 3. Cheitap Mayek 4. Cheising Mayek 5. Khutam Mayek. This dataset consists of segmented scanned images of handwritten Manipuri Meetei-Mayek characters of size 128X128 pixels in .JPG format as well as in .MAT format.
DOI: 10.17632/3337bdvx3v.5
title: A Benchmark Dataset for Manipuri Meetei-Mayek Handwritten Character Recognition

description: A benchmark dataset is always required for any classification or recognition system. To the best of our knowledge, no benchmark dataset exists for handwritten character recognition of Manipuri Meetei-Mayek script in public domain so far. Manipuri, also referred to as Meeteilon or sometimes Meiteilon, is a Sino-Tibetan language and also one of the Eight Scheduled languages of Indian Constitution. It is the official language and lingua franca of the southeastern Himalayan state of Manipur, in northeastern India. This language is also used by a significant number of people as their communicating language over the north-east India, and some parts of Bangladesh and Myanmar. It is the most widely spoken language in Northeast India after Bengali and Assamese languages. In this work, we introduce a handwritten Manipuri Meetei-Mayek character dataset which consists of more than 5000 data samples which were collected from a diverse population group that belongs to different age groups (from 4 years to 60 years), genders, educational backgrounds, occupations, communities from three different districts of Manipur, India (Imphal East District, Thoubal District and Kangpokpi District) during March and April 2019. Each individual was asked to write down all the Manipuri characters on one A4-size paper. The recorded responses are scanned with the help of a scanner and then each character is manually segmented from the scanned images. The whole dataset consists of five categories: 1. Mapi Mayek 2. Lonsum Mayek 3. Cheitap Mayek 4. Cheising Mayek 5. Khutam Mayek. This dataset consists of segmented scanned images of handwritten Manipuri Meetei-Mayek characters of size 128X128 pixels in .JPG format as well as in .MAT format.
DOI: 10.17632/d87mx9s7f7.1
title: Reaching consensus in polarized moral debates

description: Data and codes to reproduce (using Matlab) the main figures in "Reaching Consensus in Polarized Moral Debates" by Navajas et al.
DOI: 10.5281/zenodo.3385387
title: Doppler lidar datasets of UDINE measurement campaign at TROPOS Leipzig, Germany

description: The Doppler lidar dataset of the Up- and Downdraft in Drop and Ice Nucleation Experiment (UDINE, 2010-2013) is published. This dataset is part of the publication Bühl et al., "Impact of vertical air motions on ice formation rate in mixed-phase cloud layers", NPJ Climate and Atmospheric Science, 2019. Time-height resolved measurements of mean vertical Doppler velocity of aerosol and cloud particles over the measurement site. Most data is recorded in vertical stare with 2s measurement time. Files are in NetCDF-format and contain the following variables: amp(time,height): The signal strength (SNR) recorded by the data acquisition.<br> data(time,height): The first moment of the main peak in the Doppler spectrum<br> heightresolution: The resolution of the data acquisition in nanoseconds<br> measurement_time(time,datetime): Time of recording in human readable format [YYYYMMDD,hhmmss]<br> scanposition(time,scanposition): Two element array with position of the scanner in [azimuth,off-zenith-angle]<br> shots(time): The number of shots used for averaging. Spectra are averaged at a rate of 750 shots/s so this variables indicates if the system has functioned nominally.
description: {"references": ["B\u00fchl J., Engelmann R., Seifert, P., Ansmann, A. \"Impact of vertical air motions on ice formation rate in mixed-phase cloud layers\", NPJ Climate and Atmospheric Science, 2019", "B\u00fchl, Johannes. \"Combined lidar and radar observations of vertical motions and heterogeneous ice formation in mixed-phase layered clouds - Field studies and long-term monitoring\", University of Leipzig, 2014, https://nbn-resolving.org/urn:nbn:de:bsz:15-qucosa-171998", "B\u00fchl, J., Engelmann, R., and Ansmann A. \"Removing the Laser-Chirp Influence from Coherent Doppler Lidar Datasets by Two-Dimensional Deconvolution.\" J. Atmos. Oceanic Technol., 29, 1042\u20131051, 2012, https://doi.org/10.1175/JTECH-D-11-00144.1", "B\u00fchl, J., Seifert, P., Engelmann, R., Ansmann, A. \"Impact of vertical air motions on ice formation rate in mixed- phase cloud layers\", NPJ Climate and Atmospheric Science, 2019, https://doi.org/10.1038/s41612-019-0092-6"]}
DOI: 10.5281/zenodo.3385388
title: Doppler lidar datasets of UDINE measurement campaign at TROPOS Leipzig, Germany

description: The Doppler lidar dataset of the Up- and Downdraft in Drop and Ice Nucleation Experiment (UDINE, 2010-2013) is published. This dataset is part of the publication Bühl et al., "Impact of vertical air motions on ice formation rate in mixed-phase cloud layers", NPJ Climate and Atmospheric Science, 2019. Time-height resolved measurements of mean vertical Doppler velocity of aerosol and cloud particles over the measurement site. Most data is recorded in vertical stare with 2s measurement time. Files are in NetCDF-format and contain the following variables: amp(time,height): The signal strength (SNR) recorded by the data acquisition.<br> data(time,height): The first moment of the main peak in the Doppler spectrum<br> heightresolution: The resolution of the data acquisition in nanoseconds<br> measurement_time(time,datetime): Time of recording in human readable format [YYYYMMDD,hhmmss]<br> scanposition(time,scanposition): Two element array with position of the scanner in [azimuth,off-zenith-angle]<br> shots(time): The number of shots used for averaging. Spectra are averaged at a rate of 750 shots/s so this variables indicates if the system has functioned nominally.
description: {"references": ["B\u00fchl J., Engelmann R., Seifert, P., Ansmann, A. \"Impact of vertical air motions on ice formation rate in mixed-phase cloud layers\", NPJ Climate and Atmospheric Science, 2019", "B\u00fchl, Johannes. \"Combined lidar and radar observations of vertical motions and heterogeneous ice formation in mixed-phase layered clouds - Field studies and long-term monitoring\", University of Leipzig, 2014, https://nbn-resolving.org/urn:nbn:de:bsz:15-qucosa-171998", "B\u00fchl, J., Engelmann, R., and Ansmann A. \"Removing the Laser-Chirp Influence from Coherent Doppler Lidar Datasets by Two-Dimensional Deconvolution.\" J. Atmos. Oceanic Technol., 29, 1042\u20131051, 2012, https://doi.org/10.1175/JTECH-D-11-00144.1", "B\u00fchl, J., Seifert, P., Engelmann, R., Ansmann, A. \"Impact of vertical air motions on ice formation rate in mixed- phase cloud layers\", NPJ Climate and Atmospheric Science, 2019, https://doi.org/10.1038/s41612-019-0092-6"]}
DOI: 10.17632/3337bdvx3v.6
title: A Benchmark Dataset for Manipuri Meetei-Mayek Handwritten Character Recognition

description: A benchmark dataset is always required for any classification or recognition system. To the best of our knowledge, no benchmark dataset exists for handwritten character recognition of Manipuri Meetei-Mayek script in public domain so far. Manipuri, also referred to as Meeteilon or sometimes Meiteilon, is a Sino-Tibetan language and also one of the Eight Scheduled languages of Indian Constitution. It is the official language and lingua franca of the southeastern Himalayan state of Manipur, in northeastern India. This language is also used by a significant number of people as their communicating language over the north-east India, and some parts of Bangladesh and Myanmar. It is the most widely spoken language in Northeast India after Bengali and Assamese languages. In this work, we introduce a handwritten Manipuri Meetei-Mayek character dataset which consists of more than 5000 data samples which were collected from a diverse population group that belongs to different age groups (from 4 years to 60 years), genders, educational backgrounds, occupations, communities from three different districts of Manipur, India (Imphal East District, Thoubal District and Kangpokpi District) during March and April 2019. Each individual was asked to write down all the Manipuri characters on one A4-size paper. The recorded responses are scanned with the help of a scanner and then each character is manually segmented from the scanned images. The whole dataset consists of five categories: This dataset consists of segmented scanned images of handwritten Manipuri Meetei-Mayek characters (Mapi Mayek, Lonsum Mayek, Cheitap Mayek, Cheising Mayek, Khutam Mayek) of size 128X128 pixels in .JPG format as well as in .MAT format.