cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/z3yjbd4567.3
title: Clip #11

description: Road footage recorded using Logitech C525 webcam on Perodua Kancil 660 EX. The recorded steering wheel angle and vehicle speed are in degree and km/h, respectively. For synchronization, road footage, steering wheel angle, and vehicle speed data are recorded in 1/30 second step size.
DOI: 10.17632/g98zzcn6nr.3
title: Clip #10

description: Road footage recorded using Logitech C525 webcam on Perodua Kancil 660 EX. The recorded steering wheel angle and vehicle speed are in degree and km/h, respectively. For synchronization, road footage, steering wheel angle, and vehicle speed data are recorded in 1/30 second step size.
DOI: 10.17632/bvbykc4hxf.4
title: Clip #9

description: Road footage recorded using Logitech C525 webcam on Perodua Kancil 660 EX. The recorded steering wheel angle and vehicle speed are in degree and km/h, respectively. For synchronization, road footage, steering wheel angle, and vehicle speed data are recorded in 1/30 second step size.
DOI: 10.17632/hgt5whhj6n.3
title: Clip #8

description: Road footage recorded using Logitech C525 webcam on Perodua Kancil 660 EX. The recorded steering wheel angle and vehicle speed are in degree and km/h, respectively. For synchronization, road footage, steering wheel angle, and vehicle speed data are recorded in 1/30 second step size.
DOI: 10.17632/dppstzh8n6.4
title: Clip #7

description: Road footage recorded using Logitech C525 webcam on Perodua Kancil 660 EX. The recorded steering wheel angle and vehicle speed are in degree and km/h, respectively. For synchronization, road footage, steering wheel angle, and vehicle speed data are recorded in 1/30 second step size.
DOI: 10.17632/xskxs82mz6.3
title: Clip #6

description: Road footage recorded using Logitech C525 webcam on Perodua Kancil 660 EX. The recorded steering wheel angle and vehicle speed are in degree and km/h, respectively. For synchronization, road footage, steering wheel angle, and vehicle speed data are recorded in 1/30 second step size.
DOI: 10.17632/f24x2p6b5h.3
title: Clip #5

description: Road footage recorded using Logitech C525 webcam on Perodua Kancil 660 EX. The recorded steering wheel angle and vehicle speed are in degree and km/h, respectively. For synchronization, road footage, steering wheel angle, and vehicle speed data are recorded in 1/30 second step size.
DOI: 10.17632/ffpx6t6ky4.1
title: Preeclampsia data

description: baseline characteristics of participants and statisitcal analyses
DOI: 10.17632/s5nf62sxjf.2
title: Merkel Cell Carcinoma in Situ: A Systematic Review of Prognosis and Management

description: Supplemental Material for Merkel Cell Carcinoma in Situ: A Systematic Review of Prognosis and Management
DOI: 10.17632/cjptbmddpk.4
title: Clip #21

description: Road footage recorded using Logitech C525 webcam on Perodua Kancil 660 EX. The recorded steering wheel angle and vehicle speed are in degree and km/h, respectively. For synchronization, road footage, steering wheel angle, and vehicle speed data are recorded in 1/30 second step size.
DOI: 10.6084/m9.figshare.15047982.v2
title: Inline Code Comment Smells Dataset

description: Dataset of inline code comment smells
DOI: 10.17632/kcxpm835gw.3
title: Clip #19

description: Road footage recorded using Logitech C525 webcam on Perodua Kancil 660 EX. The recorded steering wheel angle and vehicle speed are in degree and km/h, respectively. For synchronization, road footage, steering wheel angle, and vehicle speed data are recorded in 1/30 second step size.
DOI: 10.17632/m25z57438h.3
title: Clip #20

description: Road footage recorded using Logitech C525 webcam on Perodua Kancil 660 EX. The recorded steering wheel angle and vehicle speed are in degree and km/h, respectively. For synchronization, road footage, steering wheel angle, and vehicle speed data are recorded in 1/30 second step size.
DOI: 10.17632/smx7tbx29p.3
title: Clip #18

description: Road footage recorded using Logitech C525 webcam on Perodua Kancil 660 EX. The recorded steering wheel angle and vehicle speed are in degree and km/h, respectively. For synchronization, road footage, steering wheel angle, and vehicle speed data are recorded in 1/30 second step size.
DOI: 10.6084/m9.figshare.13655969
title: Bac_zOTU_table.csv

description: This dataset is associated with a manuscript investigating soil microbial communities, specifically Bacteria, Archaea, Fungi and Protists. Bacterial 16S was sequenced on Miseq with primers 784F-880R covering the V5 region.
DOI: 10.6084/m9.figshare.13655969.v1
title: Bac_zOTU_table.csv

description: This dataset is associated with a manuscript investigating soil microbial communities, specifically Bacteria, Archaea, Fungi and Protists. Bacterial 16S was sequenced on Miseq with primers 784F-880R covering the V5 region.
DOI: 10.17632/bxmmttx535.3
title: Clip #17

description: Road footage recorded using Logitech C525 webcam on Perodua Kancil 660 EX. The recorded steering wheel angle and vehicle speed are in degree and km/h, respectively. For synchronization, road footage, steering wheel angle, and vehicle speed data are recorded in 1/30 second step size.
DOI: 10.17632/hps9jsjwxp.4
title: Clip #16

description: Road footage recorded using Logitech C525 webcam on Perodua Kancil 660 EX. The recorded steering wheel angle and vehicle speed are in degree and km/h, respectively. For synchronization, road footage, steering wheel angle, and vehicle speed data are recorded in 1/30 second step size.
DOI: 10.17632/k74tdgbhjm.3
title: Clip #15

description: Road footage recorded using Logitech C525 webcam on Perodua Kancil 660 EX. The recorded steering wheel angle and vehicle speed are in degree and km/h, respectively. For synchronization, road footage, steering wheel angle, and vehicle speed data are recorded in 1/30 second step size.
DOI: 10.6084/m9.figshare.13655933
title: Metadata_Sometalp

description: SOMETALP metadata associated to the sampling sites and OTU tables available.
DOI: 10.6084/m9.figshare.13655933.v1
title: Metadata_Sometalp

description: SOMETALP metadata associated to the sampling sites and OTU tables available.
DOI: 10.17632/cww75348bj.3
title: Clip #14

description: Road footage recorded using Logitech C525 webcam on Perodua Kancil 660 EX. The recorded steering wheel angle and vehicle speed are in degree and km/h, respectively. For synchronization, road footage, steering wheel angle, and vehicle speed data are recorded in 1/30 second step size.
DOI: 10.17632/946jzttn7n.3
title: Clip #13

description: Road footage recorded using Logitech C525 webcam on Perodua Kancil 660 EX. The recorded steering wheel angle and vehicle speed are in degree and km/h, respectively. For synchronization, road footage, steering wheel angle, and vehicle speed data are recorded in 1/30 second step size.
DOI: 10.6084/m9.figshare.13655945.v1
title: Prot_zOTU_table.csv

description: This dataset is associated with a manuscript investigating soil microbial communities, specifically Bacteria, Archaea, Fungi and Protists. Protist 16S was sequenced on Miseq with primers TAReuk454FWD1 and TAReukREV3.
DOI: 10.6084/m9.figshare.13655945
title: Prot_zOTU_table.csv

description: This dataset is associated with a manuscript investigating soil microbial communities, specifically Bacteria, Archaea, Fungi and Protists. Protist 16S was sequenced on Miseq with primers TAReuk454FWD1 and TAReukREV3.
DOI: 10.6084/m9.figshare.13655957
title: Arch_zOTU_table.csv

description: This dataset is associated with a manuscript investigating soil microbial communities, specifically Bacteria, Archaea, Fungi and Protists. Archaeal 16S was sequenced on Miseq with primers 784F-880R covering the V5 region.
DOI: 10.6084/m9.figshare.13655957.v1
title: Arch_zOTU_table.csv

description: This dataset is associated with a manuscript investigating soil microbial communities, specifically Bacteria, Archaea, Fungi and Protists. Archaeal 16S was sequenced on Miseq with primers 784F-880R covering the V5 region.
DOI: 10.21227/80dd-vq58
title: Numerical analysis of a catheter-based double fusiform mesh electrode for endoluminal irreversible electroporation

description: This dataset summarized the result from the numerical analysis of a catheter-based double fusiform mesh electrode for endoluminal irreversible electroporation. The electric field distribution (EFD), the temperature distribution (TD), the probability of EI (PEI), and the probability of TI (PTI) under various conditions of electrode configuration and pulse settings have been calculated.
DOI: 10.5281/zenodo.5123024
title: DCASE2021 UAD-S UMAP Data

description: Support data for our paper: <strong>USING UMAP TO INSPECT AUDIO DATA FOR UNSUPERVISED ANOMALY DETECTION UNDER DOMAIN-SHIFT CONDITIONS</strong> ArXiv preprint can be found here. Code for the experiment software pipeline described in the paper can be found here. The pipeline requires and generates different forms of data. Here we provide the following: <strong><em>AudioSet_wav_fragments.zip</em></strong>: This is a custom selection of 39437 wav files (32kHz, mono, 10 seconds) randomly extracted from AudioSet (originally released under CC-BY). In addition to this custom subset, the paper also uses the following ones, which can be downloaded at their respective websites: DCASE2021 Task 2 Development Dataset DCASE2021 Task 2 Additional Training Dataset Fraunhofer's IDMT-ISA-ELECTRIC-ENGINE Dataset <strong><em>dcase2021_uads_umaps.zip</em></strong>: To compute the UMAPs, first the log-STFT, log-mel and L3 representations must be extracted, and then the UMAPs must be computed. This can take a substantial amount of time and resources. For convenience, we provide here the 72 UMAPs discussed in the paper. <strong><em>dcase2021_uads_umap_plots.zip</em></strong>: Also for convenience, we provide here the 198 high-resolution scatter plots rendered from the UMAPs. For a comprehensive visual inspection of the computed representations, it is sufficient to download the plots only. Users interested in exploring the plots interactively will need to download all the audio datasets and compute the log-STFT, log-mel and L3 representations as well as the UMAPs themselves (code provided in the GitHub repository). UMAPs for further representations can also be computed and plotted.
DOI: 10.5281/zenodo.5123023
title: DCASE2021 UAD-S UMAP Data

description: Support data for our paper: <strong>USING UMAP TO INSPECT AUDIO DATA FOR UNSUPERVISED ANOMALY DETECTION UNDER DOMAIN-SHIFT CONDITIONS</strong> ArXiv preprint can be found here. Code for the experiment software pipeline described in the paper can be found here. The pipeline requires and generates different forms of data. Here we provide the following: <strong><em>AudioSet_wav_fragments.zip</em></strong>: This is a custom selection of 39437 wav files (32kHz, mono, 10 seconds) randomly extracted from AudioSet (originally released under CC-BY). In addition to this custom subset, the paper also uses the following ones, which can be downloaded at their respective websites: DCASE2021 Task 2 Development Dataset DCASE2021 Task 2 Additional Training Dataset Fraunhofer's IDMT-ISA-ELECTRIC-ENGINE Dataset <strong><em>dcase2021_uads_umaps.zip</em></strong>: To compute the UMAPs, first the log-STFT, log-mel and L3 representations must be extracted, and then the UMAPs must be computed. This can take a substantial amount of time and resources. For convenience, we provide here the 72 UMAPs discussed in the paper. <strong><em>dcase2021_uads_umap_plots.zip</em></strong>: Also for convenience, we provide here the 198 high-resolution scatter plots rendered from the UMAPs. For a comprehensive visual inspection of the computed representations, it is sufficient to download the plots only. Users interested in exploring the plots interactively will need to download all the audio datasets and compute the log-STFT, log-mel and L3 representations as well as the UMAPs themselves (code provided in the GitHub repository). UMAPs for further representations can also be computed and plotted.
DOI: 10.6084/m9.figshare.13655963
title: Fun_zOTU_table.csv

description: This dataset is associated with a manuscript investigating soil microbial communities, specifically Bacteria, Archaea, Fungi and Protists. Fungal ITS was sequenced on Miseq with primers ITS1F and ITS2.
DOI: 10.6084/m9.figshare.13655963.v1
title: Fun_zOTU_table.csv

description: This dataset is associated with a manuscript investigating soil microbial communities, specifically Bacteria, Archaea, Fungi and Protists. Fungal ITS was sequenced on Miseq with primers ITS1F and ITS2.
DOI: 10.17632/7jkb7cyndm.1
title: Entropy Scaling Laws in Self Propelled Glass Formers

description: Here we probe a glass forming liquid composed of self- propelled “active” particles and show that increasing the duration of self-propulsion makes the pair excess entropy negatively larger. The associated reduction in the number of accessible configurations per particle leads to a reduction in self- diffusivity. At moderate supercooling, the self-diffusivity is Arrhenius and in a reduced form obeys a Dzugutov like scaling law, directly yielding us a pair excess entropy that is inversely proportional to the effective temperature. In the strongly super-cooled regime, Dzugutov law does not apply and we observe that, the pair excess entropy shows a non-Arrhenius (power law) dependence on the effective temperature with an exponent that depends on the self propulsion time of the active particles.
DOI: 10.17632/dz9x23fttt.1
title: High-resolution MRI data of brain C57BL/6 and BTBR mice in three different anatomical views

description: Eight groups of mice were set up: control C57Bl6 males and females, control BTBR males and females, maternally separated C57Bl6 males and females, and maternally separated BTBR males and females. On PND40, these animals underwent an intravital volumetric analysis of various brain regions by the MRI technique (Table 1). Brain morphology of the animals was studied on the equipment of a multi-access center, the “Center for Genetic Resources of Laboratory Animals” at the ICG SB RAS (RFMEFI62119X0023), i.e., on a horizontal tomograph (Biospec 117/16 USR, Bruker, Germany) with a magnetic field strength of 11.7 T. Three minutes before the analysis, the animals were immobilized by gas anesthesia (isoflurane, Baxter Healthcare Corp., USA) using an anesthesia machine (The Univentor 400 Anesthesia Unit, Univentor, Malta) and then restrained by the paws on an MRI table. The depth of anesthesia was monitored by means of a pneumatic breathing sensor (SA Instruments, Stony Brook, NY, USA) placed under the lower torso. A heated tomographic bed with circulating water (35 °C) was utilized to maintain normal body temperature of the mice. All images of mouse brains were obtained using a receive-transmitter volume (T12970V3) 1H radiofrequency coil. T2 images in three orthogonal projections were captured by the RARE (rapid with relaxation enhancement) method with the following pulse sequence parameters: TE = 11 ms, TR = 2.5 s (slice thickness 0.5 mm, field of view 2.0 × 2.0 cm, and matrix size 256 × 256 pixels).
DOI: 10.17632/zvhpnm4nsf.1
title: Audit tool for medicolegal reports

description: Audit tool and guidelines for reviewing clinical forensic medicine legal reports
DOI: 10.17632/wb4hgnr6k3.3
title: Clip #27

description: Road footage recorded using Logitech C525 webcam on Perodua Kancil 660 EX. The recorded steering wheel angle and vehicle speed are in degree and km/h, respectively. For synchronization, road footage, steering wheel angle, and vehicle speed data are recorded in 1/30 second step size.
DOI: 10.17632/wmymrk79tg.3
title: Clip #26

description: Road footage recorded using Logitech C525 webcam on Perodua Kancil 660 EX. The recorded steering wheel angle and vehicle speed are in degree and km/h, respectively. For synchronization, road footage, steering wheel angle, and vehicle speed data are recorded in 1/30 second step size.
DOI: 10.6084/m9.figshare.16411209
title: MFL DATA.xlsx

description: Meniscofemoral ligament
DOI: 10.17632/642n3xx8s6.3
title: Clip #25

description: Road footage recorded using Logitech C525 webcam on Perodua Kancil 660 EX. The recorded steering wheel angle and vehicle speed are in degree and km/h, respectively. For synchronization, road footage, steering wheel angle, and vehicle speed data are recorded in 1/30 second step size.
DOI: 10.17632/r8vm7nbgvm.3
title: Clip #24

description: Road footage recorded using Logitech C525 webcam on Perodua Kancil 660 EX. The recorded steering wheel angle and vehicle speed are in degree and km/h, respectively. For synchronization, road footage, steering wheel angle, and vehicle speed data are recorded in 1/30 second step size.
DOI: 10.17632/p4tx2k852r.5
title: SDCOR Synthetic Datasets

description: SDCOR: Scalable Density-based Clustering for Local Outlier Detection in Massive-Scale Datasets Link to arXiv e-print: https://arxiv.org/pdf/2006.07616.pdf Link to ResearchGate e-print: https://www.researchgate.net/publication/342197681_SDCOR_Scalable_Density-based_Clustering_for_Local_Outlier_Detection_in_Massive-Scale_Datasets This paper presents a method for local outlier detection in massive-scale datasets, which is based on a batch-wise density-based clustering approach. SDCOR consists of three major phases: 1) Sampling; 2) Scalable Clustering; and 3) Scoring. In the Sampling phase, a preliminary random sampling is conducted to obtain an abstraction of the entire data, named temporary clustering model; and also to acquire some information over the necessary parameters for the clustering procedures. Then, the Scalable Clustering phase will commence and the input data will be processed in chunks; as by processing successive chunks, the temporary clustering model gets gradual updates, till it turns into the final clustering model after processing the last chunk. Ultimately, at the last phase of the algorithm, regarding the final clustering model attained through the batch-wise clustering, and by employing the Mahalanobis distance criterion, each object is given an outlying score called SDCOR, which is equal to its local Mahalanobis distance. Each synthetic dataset in this repository is made of some Gaussian clusters with arbitrary mean vectors, far enough from each other, to impede probable overlappings among multidimensional clusters. For each of these artificial datasets, a specific amount of outliers are added around every cluster in the corresponding data; and moreover, the outliers "truth" is available along with each synthetic data. For every artificial dataset, there is a n-by-p matrix of dataset X (as n and p stand for the cardinality and dimensionality of the input data, respectively), along with the n-by-1 vector y of outlier labels, all together as a single binary MAT-file. We have implemented our code in MATLAB 9, which due to becoming reproducible, is accessible through our GitHub page (https://github.com/sana33/SDCOR). Finally, if you are interested in the idea or you are using this data for your research, please cite our paper as: @article{naghavi2021sdcor, title={SDCOR: Scalable density-based clustering for local outlier detection in massive-scale datasets}, author={Naghavi Nozad, Sayyed Ahmad and Amir Haeri, Maryam and Folino, Gianluigi}, journal={Knowledge-Based Systems}, pages={107256}, year={2021}, publisher={Elsevier} } Thanks a lot ...
DOI: 10.17632/5zjf62drv7.3
title: Clip #23

description: Road footage recorded using Logitech C525 webcam on Perodua Kancil 660 EX. The recorded steering wheel angle and vehicle speed are in degree and km/h, respectively. For synchronization, road footage, steering wheel angle, and vehicle speed data are recorded in 1/30 second step size.
DOI: 10.17632/mjy6w63hcp.1
title: LINF_170008800

description: cystathionine beta-synthase (CYSB) Leishmania infantum (strain JPCM5)
DOI: 10.17632/sghkbc7mdd.1
title: LINF_170008400

description: protein of unknown function - conserved Leishmania infantum (strain JPCM5)
DOI: 10.17632/7xx365rks9.1
title: LINF_170008300

description: peptidase T - metallo-peptidase - ClanMH - family M20B Leishmania infantum (strain JPCM5)
DOI: 10.17632/mh37tzyrjc.1
title: LINF_170008200

description: protein of unknown function - conserved Leishmania infantum (strain JPCM5)
DOI: 10.17632/yf6jfkvf33.1
title: Data for: The Role of Virtual Community Participation and Engagement in Brand Choice by Building Community and Brand Trust: Evidence from Business Schools

description: Supplementary Data 1 - Business School List Supplementary Data 2- Questionnaire Supplementary Data 3 - SPLS Output Bootstrapping Supplementary Data 4 - Measurement Model Supplementary Data 5 - SPLS Output Coefficient Supplementary Data 6 - Structure Model
DOI: 10.17632/225xddrdf3.1
title: LINF_170008100

description: Tetratricopeptide repeat (TPR)-containing protein Leishmania infantum (strain JPCM5)
DOI: 10.17632/t3vjr7y77x.1
title: LINF_170007800

description: receptor-adenylate cyclase | RAC-B Leishmania infantum (strain JPCM5)
DOI: 10.17632/wgy8tyx8yd.1
title: LINF_170007600

description: receptor-adenylate cyclase | RAC-B2 Leishmania infantum (strain JPCM5)
DOI: 10.17632/y6t2g63v48.1
title: LINF_170007300

description: receptor-adenylate cyclase | RAC-A Leishmania infantum (strain JPCM5)
DOI: 10.17632/zd66nbwtjr.1
title: LINF_170007200

description: elongation factor 1-alpha Leishmania infantum (strain JPCM5)
DOI: 10.17632/cc4dbbyhcp.1
title: [Data] Survey on Trip Frequencies of Residents in Metro Cebu a Year since the First Lockdown due to COVID-19

description: A survey was conducted to determine the trip frequencies and reasons for traveling of the residents in Metro Cebu, Philippines, since the first lockdown was imposed. The survey was distributed online on May 2021 through Google Forms. The following information are presented in this dataset: (1) socio-demographic profiles of respondents; (2) personal knowledge about COVID-19 related questions; (3) purpose for traveling before and during pandemic; and (4) weekly trip frequencies before and during the pandemic.
DOI: 10.17632/wtm8vn55ds.1
title: COVID-19 isolation and frailty

description: In the post-COVID-19 era, the saturation of health services may only be the tip of the iceberg in relation to the restriction-derived burden of frailty. During confinement, the diminished state of resilience in elderly people may have worsened all age-associated conditions, such as a mild high blood pressure, glucose intolerance, basal immune dysfunction, inflammaging, and mental liability with anxiety-depressive traits. The dynamics of “frailty” renders its transition to a worse level more common than improvement, and this COVID-19 pandemic may have spin the loop of a decline of decreasing functional ability, increasing frailty, greater risk of traumatic falls, and higher hospital admissions for fragility fractures in the near future. The dataset was used to write the opinion article "Consequences for the Elderly After COVID-19 Isolation: FEaR (Frail Elderly amid Restrictions)", which was published by the Journal Frontiers in Psychology in 2020. It has been also used for the research article "How SARS-CoV-2 Pandemic Changed Traumatology and Hospital Setting: An Analysis of 498 Fractured Patients", published in 2021 by the Journal of Clinical Medicine.