cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7394757
title: Effect of the lips on the gliding performance of the Chrysopelea paradisi snake with 2D PetIBM on Azure (repro-packs)

description: Reproducibility packages (data and scripts) to generate the figures of the chapter "Aerodynamic effects of the snake lips" (section "Two-dimensional study with PetIBM on Azure") in Olivier Mesnard's Ph.D. Thesis. The dataset also includes the Docker image used to run 2D PetIBM simulations in a container-based environment on Microsoft Azure Batch. (See README at github.com/barbagroup/snake-lips-2d for details on how to reproduce the figures.)
DOI: 10.5281/zenodo.7394758
title: Effect of the lips on the gliding performance of the Chrysopelea paradisi snake with 2D PetIBM on Azure (repro-packs)

description: Reproducibility packages (data and scripts) to generate the figures of the chapter "Aerodynamic effects of the snake lips" (section "Two-dimensional study with PetIBM on Azure") in Olivier Mesnard's Ph.D. Thesis. The dataset also includes the Docker image used to run 2D PetIBM simulations in a container-based environment on Microsoft Azure Batch. (See README at github.com/barbagroup/snake-lips-2d for details on how to reproduce the figures.)
DOI: 10.6084/m9.figshare.21430731.v1
title: Data summary sheet Rohling et al_Reviews of Geophysics 2022.xlsx

description: This file presents original ice-volume and deep-sea temperature reconstructions in Rohling et al. "Comparison and synthesis of sea-level and deep-sea temperature variations over the past 40 million years" (Reviews of Geophysics), as derived using the Westerhold et al. (2020) and Lisiecki and Raymo (2005) deep-sea benthic isotope delta-18O records, and coral data selected from the Hibbert et al. (2016) database. Other datasets plotted in our review are obtained from the source references cited in the review paper.
DOI: 10.6084/m9.figshare.21430731
title: Data summary sheet Rohling et al_Reviews of Geophysics 2022-v2.xlsx

description: This file presents original ice-volume and deep-sea temperature reconstructions in Rohling et al. "Comparison and synthesis of sea-level and deep-sea temperature variations over the past 40 million years" (Reviews of Geophysics), as derived using the Westerhold et al. (2020) and Lisiecki and Raymo (2005) deep-sea benthic isotope delta-18O records, and coral data selected from the Hibbert et al. (2016) database. Other datasets plotted in our review are obtained from the source references cited in the review paper.
DOI: 10.6084/m9.figshare.21430731.v2
title: Data summary sheet Rohling et al_Reviews of Geophysics 2022.xlsx

description: This file presents original ice-volume and deep-sea temperature reconstructions in Rohling et al. "Comparison and synthesis of sea-level and deep-sea temperature variations over the past 40 million years" (Reviews of Geophysics), as derived using the Westerhold et al. (2020) and Lisiecki and Raymo (2005) deep-sea benthic isotope delta-18O records, and coral data selected from the Hibbert et al. (2016) database. Other datasets plotted in our review are obtained from the source references cited in the review paper.
DOI: 10.6084/m9.figshare.21670862
title: Raw Data_Predictors of Treatment Adherence in Patients with Centralized Low Back Pain.xlsx

description: 209 cases of patients receiving physical therapy for a chief complaint of centralized low back pain were retrospectively analyzed. Symptom duration, pain intensity, level of disability, the presence of an opioid prescription, and patient cost were assessed as predictors of treatment adherence. Patients who completed their prescribed plan of care were classified as adherent.
DOI: 10.6084/m9.figshare.21670862.v1
title: Raw Data_Predictors of Treatment Adherence in Patients with Centralized Low Back Pain.xlsx

description: 209 cases of patients receiving physical therapy for a chief complaint of centralized low back pain were retrospectively analyzed. Symptom duration, pain intensity, level of disability, the presence of an opioid prescription, and patient cost were assessed as predictors of treatment adherence. Patients who completed their prescribed plan of care were classified as adherent.
DOI: 10.25919/w8bx-7q30
title: Parkes observations for project P1014 semester 2021OCTS_01

description: The detections of overdense and overpressured Tiny Scale Atomic Structures (TSAS) challenge the standard picture of cooling and heating mechanisms in the interstellar medium (ISM). Multi-epoch observations of HI absorption against pulsars are a tested, practical observational method to probe the TSAS. Based on our observations in the 2019APR, 2019OCT, and 2020APR, we successfully detected a TSAS towards PSR B1557-50 with a spatial scale of 17 AU and significant dispersion measurements (DM) variations simultaneously. If TSAS is dust-free and molecule-free with a large fraction of carbon gas and not highly shielded from starlight, most of the carbon is ionized. Such electron column density in the TSAS can be observed in DM variations at a level of ~10^-2 pc cm^-3. Therefore, the ratio of HI column density variations and electron density variations measures the ionization fractions of the TSAS directly. The ionization fractions estimation in such cold atomic gas is very difficult usually through low-frequency carbon radio recombination lines with interferometers. In order to constrain the ionization fractions in TSAS, we propose two epoch observations towards PSR B1557-50 and two epoch observations towards PSR B1749-28. This will help us to better understand the cooling and heating mechanisms in the ISM.
DOI: 10.25919/shy0-5k55
title: Parkes pulsar observations with undefined project IDs for 2022OCTS_07

description: Parkes pulsar observations with undefined project IDs for 2022OCTS. This collection contains observations from project ID PX094.
DOI: 10.6084/m9.figshare.21670874
title: Aggression data set for Journal of Environmental Psychology

description: Data on 126 countries
DOI: 10.6084/m9.figshare.21670874.v1
title: Aggression data set for Journal of Environmental Psychology

description: Data on 126 countries
DOI: 10.5281/zenodo.7395075
title: Developing an educational "hub": impact of a global distance-learning curriculum

description: This dataset includes participant data supporting the findings of "Developing an educational "hub": impact of a global distance-learning curriculum".
DOI: 10.5281/zenodo.7395074
title: Developing an educational "hub": impact of a global distance-learning curriculum

description: This dataset includes participant data supporting the findings of "Developing an educational "hub": impact of a global distance-learning curriculum".
DOI: 10.5281/zenodo.7395081
title: A QUASI-EXPERIMENTAL STUDY TO IMPROVE DIABETIC CONTROL FOR THE UNDERSERVED POPULATION THROUGH EDUCATION AND SCREENINGS

description: Diabetes is a growing epidemic in the underserved population. Type 2 diabetes is one of the largest health concerns affecting Americans. Over 37 million Americans are diagnosed with diabetes and over 7 million are undiagnosed. One out of three Americans have prediabetes, but only 12% are aware of this condition.<sup>1</sup> Diabetes can lead to serious health conditions including cardiac, renal, retinal and vascular conditions. A step towards controlling diabetes is performing an HbA1C test, but many people are not adequately screened or educated on the risk of diabetes. The American Diabetes Association (ADA) recognizes a HbA1c as an evidence-based tool used in monitoring diabetes and diabetic determination. More than 28 million Americans are considered underserved with approximately 9% of Americans are classified as diabetics.<sup>1</sup> Only 68% of this population are considered compliant with their diabetic treatment.<sup>9</sup> The lack of diabetic control is caused by the inability to seek healthcare and a lack of diabetic supplies, screenings and treatment.<sup>7</sup> The ADA determined that the underserved population suffering with diabetes is impacted 48 times more than any other population.
DOI: 10.5281/zenodo.7395080
title: A QUASI-EXPERIMENTAL STUDY TO IMPROVE DIABETIC CONTROL FOR THE UNDERSERVED POPULATION THROUGH EDUCATION AND SCREENINGS

description: Diabetes is a growing epidemic in the underserved population. Type 2 diabetes is one of the largest health concerns affecting Americans. Over 37 million Americans are diagnosed with diabetes and over 7 million are undiagnosed. One out of three Americans have prediabetes, but only 12% are aware of this condition.<sup>1</sup> Diabetes can lead to serious health conditions including cardiac, renal, retinal and vascular conditions. A step towards controlling diabetes is performing an HbA1C test, but many people are not adequately screened or educated on the risk of diabetes. The American Diabetes Association (ADA) recognizes a HbA1c as an evidence-based tool used in monitoring diabetes and diabetic determination. More than 28 million Americans are considered underserved with approximately 9% of Americans are classified as diabetics.<sup>1</sup> Only 68% of this population are considered compliant with their diabetic treatment.<sup>9</sup> The lack of diabetic control is caused by the inability to seek healthcare and a lack of diabetic supplies, screenings and treatment.<sup>7</sup> The ADA determined that the underserved population suffering with diabetes is impacted 48 times more than any other population.
DOI: 10.5281/zenodo.7395083
title: Center Data for "Developing an educational "hub": impact of a global distance-learning curriculum"

description: Characteristics of centers participating in the course described in "Developing an educational "hub": impact of a global distance-learning curriculum"
DOI: 10.5281/zenodo.7395082
title: Center Data for "Developing an educational "hub": impact of a global distance-learning curriculum"

description: Characteristics of centers participating in the course described in "Developing an educational "hub": impact of a global distance-learning curriculum"
DOI: 10.6084/m9.figshare.21670880
title: dataset_ncomms_22_25688.xlsx

description: This dataset is obtained for a photonic blind source separation research, which is submitted to Nature Communications (titled "Broadband physical layer cognitive radio with an integrated photonic processor for blind source separation").
DOI: 10.5281/zenodo.5853684
title: French Tweets about Plant Health

description: The dataset contains tweets in French mentioning natural hazards (pests and diseases), between 2008 and 2021. <em>pest_tweets_without_userid.csv, disease_tweets_without_userid.csv, JNO_tweets.csv </em>and<em> pyrale_tweets.csv, corvidae_tweets.csv tweet_RT </em> are collections of tweets, each of these .csv files contains all or several of the following columns: <strong>time</strong>: the timestamp of the tweet <strong>twt_id</strong>: the ID of the tweet <strong>text</strong>: text content of the tweet <strong>tag</strong>: the query string that we used when we called twitter search API to harvest the tweet <strong>author_id</strong>: ID of the author, corresponding to <strong>user_id</strong> in <em>tweet_user.csv </em> <strong>referenced_tweets</strong>: empty, a list of objects of referenced tweets and the reference type(reply, retweet,...) <strong>crop_tags</strong>: empty, or potential crop name <strong>geo</strong>: empty, or ID of the place, corresponding to <strong>place_id</strong> in <em>tweet_places.csv</em> <em>tweet_users.csv </em>is a list of the users of the collected tweets. It contains the following columns: <strong>user_id</strong>: the ID of the user <strong>name</strong>: the name of the user, as they’ve defined it on their profile <strong>username</strong>: the Twitter screen name, handle, or alias that this user identifies themselves with <strong>description</strong>: empty, or user's public profile <em>tweet_places.csv</em> is a table of all mentioned places in the tweet collections. It contains the following columns: <strong>place_id</strong>: the ID of the place, if this is a point of interest tagged in the Tweet. <strong>name</strong>: the short name of this place. <strong>country</strong>: the full-length name of the country this place belongs to. <strong>place_type</strong>: Specified the particular type of information represented by this place information, such as a city name, or a point of interest. <strong>geo</strong>: Contains place details in GeoJSON format.
DOI: 10.5281/zenodo.5853683
title: French Tweets about Plant Health

description: The dataset contains tweets in French mentioning natural hazards (pests and diseases), between 2008 and 2021. <em>pest_tweets_without_userid.csv, disease_tweets_without_userid.csv, JNO_tweets.csv </em>and<em> pyrale_tweets.csv, corvidae_tweets.csv tweet_RT </em> are collections of tweets, each of these .csv files contains all or several of the following columns: <strong>time</strong>: the timestamp of the tweet <strong>twt_id</strong>: the ID of the tweet <strong>text</strong>: text content of the tweet <strong>tag</strong>: the query string that we used when we called twitter search API to harvest the tweet <strong>author_id</strong>: ID of the author, corresponding to <strong>user_id</strong> in <em>tweet_user.csv </em> <strong>referenced_tweets</strong>: empty, a list of objects of referenced tweets and the reference type(reply, retweet,...) <strong>crop_tags</strong>: empty, or potential crop name <strong>geo</strong>: empty, or ID of the place, corresponding to <strong>place_id</strong> in <em>tweet_places.csv</em> <em>tweet_users.csv </em>is a list of the users of the collected tweets. It contains the following columns: <strong>user_id</strong>: the ID of the user <strong>name</strong>: the name of the user, as they’ve defined it on their profile <strong>username</strong>: the Twitter screen name, handle, or alias that this user identifies themselves with <strong>description</strong>: empty, or user's public profile <em>tweet_places.csv</em> is a table of all mentioned places in the tweet collections. It contains the following columns: <strong>place_id</strong>: the ID of the place, if this is a point of interest tagged in the Tweet. <strong>name</strong>: the short name of this place. <strong>country</strong>: the full-length name of the country this place belongs to. <strong>place_type</strong>: Specified the particular type of information represented by this place information, such as a city name, or a point of interest. <strong>geo</strong>: Contains place details in GeoJSON format.
DOI: 10.21227/xkn5-zw07
title: Published Contributions in Education from German Researchers in IEEEXplore

description: This is a compiled list of papers by German researchers on educational topics. The list comprises titles, publication titles, authors, and affiliations. The list is stored in an excel file with various sheets dealing with inputs such as authors, topics, affiliations, and displaying various graphs.
DOI: 10.5281/zenodo.7378906
title: ImageNet Validation Images with Corrupted Patches

description: ImageNet Validation Images with Corrupted Patches
DOI: 10.5281/zenodo.7378905
title: ImageNet Validation Images with Corrupted Patches

description: ImageNet Validation Images with Corrupted Patches
DOI: 10.34740/kaggle/dsv/4647791
title: arXiv Dataset
DOI: 10.34740/kaggle/dsv/4647921
title: BBC News
DOI: 10.5281/zenodo.7395165
title: PERTEMUAN 11_05 DESEMBER 2022_SISTEM PENGENDALIAN MANAJEMEN"ANALISIS LAPORAN KINERJA KEUANGAN" _STIESIA SURABAYA_JAM 6.30-9.00

description: <strong>Capaian Pembelajaran Mata Kuliah (CPMK)</strong> Mahasiswa mampu <strong>menganalisis</strong> lingkungan pengendalian manajemen, proses pengendalain manajemen dan variasi dalam pengendalian manajemen dan mampu <strong>mendesain </strong>serta mampu <strong>memanfaatkan</strong> secara optimal sistem pengendalian manajemen untuk mendukung fungsi Controller. Mahasiswa mampu menjelaskan sifat system pengendalian manajemen; konsep dasar, batas-batas pengendalain manajemen, dan organisasi materi Sistem Pengendalian Manajemen <strong>Indikator Pembelajaran</strong> 1. Menjelaskan sifat system pengendalian manajemen 2. Menjelaskan konsep dasar dan batas-batas SPM 3. Menjelaskan tentang organisasi materi SPM
description: PERTEMUAN 11_05 DESEMBER 2022_SISTEM PENGENDALIAN MANAJEMEN"ANALISIS LAPORAN KINERJA KEUANGAN" _STIESIA SURABAYA_JAM 6.30-9.00
DOI: 10.5281/zenodo.7395164
title: PERTEMUAN 11_05 DESEMBER 2022_SISTEM PENGENDALIAN MANAJEMEN"ANALISIS LAPORAN KINERJA KEUANGAN" _STIESIA SURABAYA_JAM 6.30-9.00

description: <strong>Capaian Pembelajaran Mata Kuliah (CPMK)</strong> Mahasiswa mampu <strong>menganalisis</strong> lingkungan pengendalian manajemen, proses pengendalain manajemen dan variasi dalam pengendalian manajemen dan mampu <strong>mendesain </strong>serta mampu <strong>memanfaatkan</strong> secara optimal sistem pengendalian manajemen untuk mendukung fungsi Controller. Mahasiswa mampu menjelaskan sifat system pengendalian manajemen; konsep dasar, batas-batas pengendalain manajemen, dan organisasi materi Sistem Pengendalian Manajemen <strong>Indikator Pembelajaran</strong> 1. Menjelaskan sifat system pengendalian manajemen 2. Menjelaskan konsep dasar dan batas-batas SPM 3. Menjelaskan tentang organisasi materi SPM
description: PERTEMUAN 11_05 DESEMBER 2022_SISTEM PENGENDALIAN MANAJEMEN"ANALISIS LAPORAN KINERJA KEUANGAN" _STIESIA SURABAYA_JAM 6.30-9.00
DOI: 10.6084/m9.figshare.21670904.v1
title: Raw_EOG_2Ch_classified.csv

description: Recent advances in wearable technologies have enabled ways for people to interact with external devices, known as human-machine interfaces (HMI). Among them, electrooculograms (EOG) measured by wearable devices are used for eye movement-enabled HMI. Most prior studies have utilized conventional gel electrodes for EOG recording. However, the gel is problematic due to skin irritation, while separate bulky electronics cause motion artifacts. Here, we introduce a low-profile, headband-type soft wearable electronic system with embedded stretchable electrodes and a flexible wireless circuit to detect EOG signals for persistent HMI. The headband with embedded dry electrodes is printed with flexible thermoplastic polyurethane. Nanomembrane electrodes are prepared by thin film deposition and laser cutting techniques. A set of signal processing data from dry electrodes demonstrates successful real-time classification of eye motions, including blink, up, down, left, and right. Our study shows that the convolutional neural network performs exceptionally well compared to other machine learning methods, showing 98.3% accuracy with six classes: the highest performance to date in EOG classification with only four electrodes. Collectively, the real-time demonstration of continuous wireless control of a 2-wheeled RC car captures the potential of the bioelectronic system and the algorithm for targeting various HMI and virtual reality applications.
DOI: 10.6084/m9.figshare.21670904
title: test2

description: test2
DOI: 10.6084/m9.figshare.21670904.v3
title: test2

description: test2
DOI: 10.6084/m9.figshare.21670904.v2
title: test

description: test
DOI: 10.34740/kaggle/dsv/4648157
title: OntoUML/UFO Catalog
DOI: 10.5281/zenodo.7369945
title: Universal chiral Luttinger liquid behavior in a graphene fractional quantum Hall point contact

description: Raw source data for manuscript Data analysis code for processing raw data
DOI: 10.5281/zenodo.7369944
title: Universal chiral Luttinger liquid behavior in a graphene fractional quantum Hall point contact

description: Raw source data for manuscript Data analysis code for processing raw data
DOI: 10.34740/kaggle/dsv/4648234
title: 💥📰 Daily Breaking News Twitter Dataset
DOI: 10.34740/kaggle/dsv/4648248
title: 🇺🇦 Ukraine Conflict Twitter Dataset
DOI: 10.5281/zenodo.7395270
title: PERTEMUAN 13_05 DESEMBER 2022_STUDY KASUS PENGENDALIAN BOP_UNIVERSITAS GRESIK JAM 20.00-21.30

description: <strong>Capaian Pembelajaran Mata Kuliah (CPMK)</strong> Mahasiswa diharapkan mampu memahami dan mengevaluasi studi kasus Penengendalian BOP <strong>Indikator Ujian Pembelajaran</strong> <strong>1. Tes Lisan</strong> <strong>2. Tes Tulis</strong>
description: PERTEMUAN 13_05 DESEMBER 2022_STUDY KASUS PENGENDALIAN BOP_UNIVERSITAS GRESIK JAM 20.00-21.30
DOI: 10.5281/zenodo.7395269
title: PERTEMUAN 13_05 DESEMBER 2022_STUDY KASUS PENGENDALIAN BOP_UNIVERSITAS GRESIK JAM 20.00-21.30

description: <strong>Capaian Pembelajaran Mata Kuliah (CPMK)</strong> Mahasiswa diharapkan mampu memahami dan mengevaluasi studi kasus Penengendalian BOP <strong>Indikator Ujian Pembelajaran</strong> <strong>1. Tes Lisan</strong> <strong>2. Tes Tulis</strong>
description: PERTEMUAN 13_05 DESEMBER 2022_STUDY KASUS PENGENDALIAN BOP_UNIVERSITAS GRESIK JAM 20.00-21.30
DOI: 10.5517/ccdc.csd.cc296x4l
title: CCDC 2121799: Experimental Crystal Structure Determination

description: Related Article: Jun-An Xiao, Hai Peng, Huan Zhang, Ru-Fang Meng, Chenxiang Lin, Wei Su, Yanmin Huang|2022|Org.Lett.|24|8709|doi:10.1021/acs.orglett.2c03679
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2998mj
title: CCDC 2124077: Experimental Crystal Structure Determination

description: Related Article: Jun-An Xiao, Hai Peng, Huan Zhang, Ru-Fang Meng, Chenxiang Lin, Wei Su, Yanmin Huang|2022|Org.Lett.|24|8709|doi:10.1021/acs.orglett.2c03679
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.21227/e3rg-n987
title: Experimental data of the Multivent System for Non-invasive Ventilation

description: The COVID-19 pandemic has caused a severe global problem of ventilator shortage. Placing multiple patients on a single ventilator (ventilator sharing) or dual patient ventilation has been proposed and conducted to increase the cure efficiency for ventilated patients. However, the ventilator-sharing method needs to use the same ventilator settings for all the patients, which cannot meet the ventilation needs of different patients. Besides, it may bring the risk of hyperventilation or hypoventilation. Therefore, a novel multivent system for non-invasive ventilation has been proposed in this study. The close loop system consists of the proportional valve and the flow-pressure sensor can regulate the airway pressure and flow for each patient. Multiple ventilation circuits can be combined in parallel to meet patients' ventilation demands simultaneously. Meanwhile, the mathematical model of the multivent system is established and validated through experiments. The experiments for different inspired positive airway pressure (IPAP), expired positive airway pressure (EPAP), inspiratory expiratory ratio (I:E), and breath per minute (BPM) have been conducted and analyzed to test the performance of the multivent system. The results show that the multivent system can realize the biphasic positive airway pressure ventilation mode in non-invasive ventilation without interfering among the three ventilation circuits, no matter the change of IPAP, EPAP, I:E, and BPM.
DOI: 10.5281/zenodo.7395299
title: Pairs of LRGS

description: This catalogue is pairs of luminous red galaxies used in stacking experiment of Vernstrom et al, 2023 based on the catalog of Lopes+07.
DOI: 10.5281/zenodo.7395298
title: Pairs of LRGS

description: This catalogue is pairs of luminous red galaxies used in stacking experiment of Vernstrom et al, 2023 based on the catalog of Lopes+07.