cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.16713923
title: Additional file 3 of PAM-repeat associations and spacer selection preferences in single and co-occurring CRISPR-Cas systems

description: Additional file 3. CSV containing PAM catalog (each unique repeat for which PAM was determined) with following columns: repeat, PAM and subtype.
DOI: 10.6084/m9.figshare.16713923.v1
title: Additional file 3 of PAM-repeat associations and spacer selection preferences in single and co-occurring CRISPR-Cas systems

description: Additional file 3. CSV containing PAM catalog (each unique repeat for which PAM was determined) with following columns: repeat, PAM and subtype.
DOI: 10.6084/m9.figshare.16713926
title: Additional file 4 of PAM-repeat associations and spacer selection preferences in single and co-occurring CRISPR-Cas systems

description: Additional file 4. CSV containing genomes for which compatible arrays were found with following columns: accession number genome, compatible subtypes of array, PAM, category.
DOI: 10.6084/m9.figshare.16713926.v1
title: Additional file 4 of PAM-repeat associations and spacer selection preferences in single and co-occurring CRISPR-Cas systems

description: Additional file 4. CSV containing genomes for which compatible arrays were found with following columns: accession number genome, compatible subtypes of array, PAM, category.
DOI: 10.6084/m9.figshare.16713929
title: Additional file 5 of PAM-repeat associations and spacer selection preferences in single and co-occurring CRISPR-Cas systems

description: Additional file 5. CSV containing genomes for which PAM was predicted with following columns: PAM, accession number, subtype.
DOI: 10.6084/m9.figshare.16713929.v1
title: Additional file 5 of PAM-repeat associations and spacer selection preferences in single and co-occurring CRISPR-Cas systems

description: Additional file 5. CSV containing genomes for which PAM was predicted with following columns: PAM, accession number, subtype.
DOI: 10.5281/zenodo.5542690
title: Penerapan Latent Dirichlet Allocation dalam Analisis Konten Memasak pada Youtube Indonesia

description: Youtube is a platform used to share videos. Since its founding in 2005, to date there are more than 20 million active users with 2 million videos uploaded every day. This is inseparable from the contribution of Indonesian content creators who also share videos with various types of content. One type of content that is loved by the Indonesian people is content about cooking or culinary belonging to food vloggers. In this study, the author wants to know what are the dominant topics related to the type of content created by food vloggers on their Youtube channel. This study uses the Latent Dirichlet Allocation (LDA) method. The research began by conducting text mining experiments on 3846 videos from the Youtube channel of nine food vloggers with more than one million subscribers. Then the LDA method is applied which is then analyzed to determine the optimal number of topics of content types by looking at the perplexity and topic coherence values. As a result, there are 5 topics of content types that often appear in videos belonging to food vloggers. Topics of this type of content include tips for making economical cakes, ingredients for making oven cakes, food business ideas, the process of cooking viral dishes, and easily available ingredients for making snacks.
DOI: 10.5281/zenodo.5542689
title: Penerapan Latent Dirichlet Allocation dalam Analisis Konten Memasak pada Youtube Indonesia

description: Youtube is a platform used to share videos. Since its founding in 2005, to date there are more than 20 million active users with 2 million videos uploaded every day. This is inseparable from the contribution of Indonesian content creators who also share videos with various types of content. One type of content that is loved by the Indonesian people is content about cooking or culinary belonging to food vloggers. In this study, the author wants to know what are the dominant topics related to the type of content created by food vloggers on their Youtube channel. This study uses the Latent Dirichlet Allocation (LDA) method. The research began by conducting text mining experiments on 3846 videos from the Youtube channel of nine food vloggers with more than one million subscribers. Then the LDA method is applied which is then analyzed to determine the optimal number of topics of content types by looking at the perplexity and topic coherence values. As a result, there are 5 topics of content types that often appear in videos belonging to food vloggers. Topics of this type of content include tips for making economical cakes, ingredients for making oven cakes, food business ideas, the process of cooking viral dishes, and easily available ingredients for making snacks.
DOI: 10.6084/m9.figshare.16713965
title: Additional file 2 of Climate and health concerns of Montana’s public and environmental health professionals: a cross-sectional study

description: Additional file 2.
DOI: 10.6084/m9.figshare.16713965.v1
title: Additional file 2 of Climate and health concerns of Montana’s public and environmental health professionals: a cross-sectional study

description: Additional file 2.
DOI: 10.6084/m9.figshare.16714013.v1
title: Additional file 1 of Provision and related factors of end-of-life care in elderly housing with care services in collaboration with home-visiting nurse agencies: a nationwide survey

description: Additional file 1.
DOI: 10.6084/m9.figshare.16714013
title: Additional file 1 of Provision and related factors of end-of-life care in elderly housing with care services in collaboration with home-visiting nurse agencies: a nationwide survey

description: Additional file 1.
DOI: 10.6084/m9.figshare.16714053
title: Additional file 3 of Metagenomic analysis of ancient dental calculus reveals unexplored diversity of oral archaeal Methanobrevibacter

description: Additional file 2: Supplemental Tables S1-S18.
DOI: 10.6084/m9.figshare.16714053.v1
title: Additional file 3 of Metagenomic analysis of ancient dental calculus reveals unexplored diversity of oral archaeal Methanobrevibacter

description: Additional file 2: Supplemental Tables S1-S18.
DOI: 10.6084/m9.figshare.16714161.v1
title: Additional file 1 of An overview of bacterial meningitis epidemics in Africa from 1928 to 2018 with a focus on epidemics “outside-the-belt”

description: Additional file 1. Database_of_meningitis_confirmed_cases_2000_2017.
DOI: 10.6084/m9.figshare.16714164
title: Additional file 2 of An overview of bacterial meningitis epidemics in Africa from 1928 to 2018 with a focus on epidemics “outside-the-belt”

description: Additional file 2. Number_of_cases_meningitis_8_years_5.
DOI: 10.6084/m9.figshare.16714161
title: Additional file 1 of An overview of bacterial meningitis epidemics in Africa from 1928 to 2018 with a focus on epidemics “outside-the-belt”

description: Additional file 1. Database_of_meningitis_confirmed_cases_2000_2017.
DOI: 10.6084/m9.figshare.16714166
title: Additional file 1 of Bacterial mutagenicity test data: collection by the task force of the Japan pharmaceutical manufacturers association

description: Additional file 1.
DOI: 10.6084/m9.figshare.16714164.v1
title: Additional file 2 of An overview of bacterial meningitis epidemics in Africa from 1928 to 2018 with a focus on epidemics “outside-the-belt”

description: Additional file 2. Number_of_cases_meningitis_8_years_5.
DOI: 10.6084/m9.figshare.16714166.v1
title: Additional file 1 of Bacterial mutagenicity test data: collection by the task force of the Japan pharmaceutical manufacturers association

description: Additional file 1.
DOI: 10.6084/m9.figshare.16714208.v1
title: Additional file 3 of Fourteen years of manifestations and factors of health insurance fraud, 2006–2020: a scoping review

description: Additional file 3. Excel matrix. This file contains details of all processed studies.
DOI: 10.6084/m9.figshare.16714208
title: Additional file 3 of Fourteen years of manifestations and factors of health insurance fraud, 2006–2020: a scoping review

description: Additional file 3. Excel matrix. This file contains details of all processed studies.
DOI: 10.6084/m9.figshare.16714266
title: Additional file 2 of Using BioPAX-Parser (BiP) to enrich lists of genes or proteins with pathway data

description: Additional file 2. The list of relevant enriched pathways(p value $$\le 0.005$$ ≤ 0.005 ) obtained by BiP using each cancergene list and the related intersection between the two lists ofenriched pathways referring to the same cancer type.
DOI: 10.6084/m9.figshare.16714266.v1
title: Additional file 2 of Using BioPAX-Parser (BiP) to enrich lists of genes or proteins with pathway data

description: Additional file 2. The list of relevant enriched pathways(p value $$\le 0.005$$ ≤ 0.005 ) obtained by BiP using each cancergene list and the related intersection between the two lists ofenriched pathways referring to the same cancer type.
DOI: 10.6084/m9.figshare.16714269
title: Additional file 3 of Using BioPAX-Parser (BiP) to enrich lists of genes or proteins with pathway data

description: Additional file 3. The list of relevant enriched pathways(p value $$\le 0.005$$ ≤ 0.005 ) obtained by CePa using each cancergene list and the related intersection between the two lists ofenriched pathways referring to the same cancer type.
DOI: 10.6084/m9.figshare.16714272
title: Additional file 4 of Using BioPAX-Parser (BiP) to enrich lists of genes or proteins with pathway data

description: Additional file 4. The list of relevant enriched pathways(p value $$\le 0.005$$ ≤ 0.005 ) obtained by pathDip using eachcancer gene list and the related intersection between the two listsof enriched pathways referring to the same cancer type.
DOI: 10.6084/m9.figshare.16714269.v1
title: Additional file 3 of Using BioPAX-Parser (BiP) to enrich lists of genes or proteins with pathway data

description: Additional file 3. The list of relevant enriched pathways(p value $$\le 0.005$$ ≤ 0.005 ) obtained by CePa using each cancergene list and the related intersection between the two lists ofenriched pathways referring to the same cancer type.
DOI: 10.6084/m9.figshare.16714272.v1
title: Additional file 4 of Using BioPAX-Parser (BiP) to enrich lists of genes or proteins with pathway data

description: Additional file 4. The list of relevant enriched pathways(p value $$\le 0.005$$ ≤ 0.005 ) obtained by pathDip using eachcancer gene list and the related intersection between the two listsof enriched pathways referring to the same cancer type.
DOI: 10.6084/m9.figshare.16714275.v1
title: Additional file 5 of Using BioPAX-Parser (BiP) to enrich lists of genes or proteins with pathway data

description: Additional file 5. The list of relevant enriched pathways(p value $$\le 0.005$$ ≤ 0.005 ) obtained by SPIA using each cancergene list and the related intersection between the two lists ofenriched pathways referring to the same cancer type.
DOI: 10.6084/m9.figshare.16714275
title: Additional file 5 of Using BioPAX-Parser (BiP) to enrich lists of genes or proteins with pathway data

description: Additional file 5. The list of relevant enriched pathways(p value $$\le 0.005$$ ≤ 0.005 ) obtained by SPIA using each cancergene list and the related intersection between the two lists ofenriched pathways referring to the same cancer type.
DOI: 10.6084/m9.figshare.16714290
title: Additional file 5 of A human iPSC-derived inducible neuronal model of Niemann-Pick disease, type C1

description: Additional file 5. Raw-data-Numerical.
DOI: 10.6084/m9.figshare.16714290.v1
title: Additional file 5 of A human iPSC-derived inducible neuronal model of Niemann-Pick disease, type C1

description: Additional file 5. Raw-data-Numerical.
DOI: 10.6084/m9.figshare.16714296
title: Additional file 7 of A human iPSC-derived inducible neuronal model of Niemann-Pick disease, type C1

description: Additional file 7. Raw-data-Lipidomics in i3Neuron Full.
DOI: 10.6084/m9.figshare.16714296.v1
title: Additional file 7 of A human iPSC-derived inducible neuronal model of Niemann-Pick disease, type C1

description: Additional file 7. Raw-data-Lipidomics in i3Neuron Full.
DOI: 10.6084/m9.figshare.16713784
title: ONLINE DATA SUPPLEMENT 1

description: ONLINE DATA SUPPLEMENT
DOI: 10.6084/m9.figshare.16714315
title: 2-DOF robot data of position control and tip trajectory tracking

description: These data are for position control and tip trajectory tracking of the 2-DOF robot.
DOI: 10.6084/m9.figshare.16714315.v1
title: 2-DOF robot data of position control and tip trajectory tracking

description: These data are for position control and tip trajectory tracking of the 2-DOF robot.
DOI: 10.5281/zenodo.5542643
title: Spatiotemporal Prediction of COVID-19 Cases using Inter- and Intra-County Proxies of Human Interactions (dataset)

description: This repository contains data (features) necessary to run STXGB model and accompanies the paper titled "Spatiotemporal Prediction of COVID-19 Cases using Inter- and Intra-County Proxies of Human Interactions". STXGB is a spatiotemporal autoregressive model that predicts county-level new cases of COVID-19 in the coterminous US in 1- to 4-week prediction horizons using spatiotemporal lags of infection rates, human interactions, human mobility, and socioeconomic composition of counties as predictive features.
DOI: 10.5281/zenodo.5542642
title: Spatiotemporal Prediction of COVID-19 Cases using Inter- and Intra-County Proxies of Human Interactions (dataset)

description: This repository contains data (features) necessary to run STXGB model and accompanies the paper titled "Spatiotemporal Prediction of COVID-19 Cases using Inter- and Intra-County Proxies of Human Interactions". STXGB is a spatiotemporal autoregressive model that predicts county-level new cases of COVID-19 in the coterminous US in 1- to 4-week prediction horizons using spatiotemporal lags of infection rates, human interactions, human mobility, and socioeconomic composition of counties as predictive features.
DOI: 10.6084/m9.figshare.16706458
title: 2-DOF robot data of position control and tip trajectory tracking

description: This dataset covers the control of 2-DOF robot in terms of point-to-point position control and tip trajectory tracking of the robot.
DOI: 10.6084/m9.figshare.16706458.v1
title: 2-DOF robot modelling by SimMechanics and PD-FL integrated controller for position control and trajectory tracking

description: This dataset covers the control of 2-DOF robot in terms of point-to-point position control and tip trajectory tracking of the robot.
DOI: 10.6084/m9.figshare.16682029.v2
title: SCP_Example_Projects

description: Example projects for HBSniff detection.
DOI: 10.5519/qd.mf746qvj
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (41 records)
DOI: 10.5519/qd.3ok6eazz
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (6 records)
DOI: 10.5281/zenodo.5542725
title: DTR from 189 weather stations in the contiguous USA from 2015 to 2020

description: Temperature data was collected from the National Climatic Data Center (NCDC, 2021). It is considered as the world’s largest archive of data regarding weather. For this study, data was collected from the year of 2015 to 2020. Data was taken from the 48 States of the contiguous USA and the DC. For 42 of these States, 4 stations were analyzed per State. For 6 of these States and the DC, 3 stations were analyzed from each. In total, data of 189 stations across the USA were collected.
description: {"references": ["NCDC. 2021. Climate Data Online. Available online: https://ncdc.noaa.gov/cdo-web (accessed 2021-09-29)."]}
DOI: 10.5519/qd.aj5oh7s7
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (49 records)
DOI: 10.6084/m9.figshare.14823678
title: Diffraction data for: Striping of orbital-order with charge-disorder in optimally doped manganites

description: <br><b>ESRF_ID22_80k.zip</b> and <b>ESRF_ID22_700K.zip</b>: The data set contains the high resolution powder diffraction data collected at ID22, ESRF at 80 and 700K on the solid solution AMn7O12 (A=Na1-xCax and La1-xCax).Wavelength for the datasets is 0.39990 A. Derived CIFs are included in the folder "<b>CIF_files.zip</b>"<br><b>Wombat_Neutron_PXRD_heatmap.zip</b>: 4 K neutron powder diffraction data with wavelength 2.41 Angstrom, collected on the AMn7O12 prototype system. Two python scripts used in the paper for visualising this data in terms of heat maps are provided (Fig 2, S2 and S14) are also included. The mode amplitudes plotted in Figure S14 are derived from symmetry mode refinements in TOPAS6 against this data using the distortion (magnetic) mode formalism of ISODISTORT.<br><br>VT_PXRD.zip: The variable temperature synchrotron XRD patterns used to construct Fig S8 were obtained at beamline 09A, Taiwan Photon Source (TPS) with 15 keV beam energy.<br>
DOI: 10.6084/m9.figshare.14823678.v4
title: Diffraction data for: Striping of orbital-order with charge-disorder in optimally doped manganites

description: <br><b>ESRF_ID22_80k.zip</b> and <b>ESRF_ID22_700K.zip</b>: The data set contains the high resolution powder diffraction data collected at ID22, ESRF at 80 and 700K on the solid solution AMn7O12 (A=Na1-xCax and La1-xCax).Wavelength for the datasets is 0.39990 A. Derived CIFs are included in the folder "<b>CIF_files.zip</b>"<br><b>Wombat_Neutron_PXRD_heatmap.zip</b>: 4 K neutron powder diffraction data with wavelength 2.41 Angstrom, collected on the AMn7O12 prototype system. Two python scripts used in the paper for visualising this data in terms of heat maps are provided (Fig 2, S2 and S14) are also included. The mode amplitudes plotted in Figure S14 are derived from symmetry mode refinements in TOPAS6 against this data using the distortion (magnetic) mode formalism of ISODISTORT.<br><br>VT_PXRD.zip: The variable temperature synchrotron XRD patterns used to construct Fig S8 were obtained at beamline 09A, Taiwan Photon Source (TPS) with 15 keV beam energy.<br>
DOI: 10.6084/m9.figshare.14823678.v3
title: Diffraction data for: Striping of orbital-order with charge-disorder in optimally doped manganites

description: The data set contains the high resolution powder diffraction data collected at ID22, ESRF at 80 and 700K on the solid solution AMn7O12 (A=Na1-xCax and La1-xCax).Wavelength for the datasets is 0.39990 A.<br>4 K neutron powder diffraction data with wavelength 2.41 Angstrom, collected on the AMn7O12 prototype system. Two python scripts used in the paper for visualising this data in terms of heat maps are provided (Fig 2, S2 and S14). The mode amplitudes plotted in Figure S14 are derived from symmetry mode refinements in TOPAS6 against this data using the distortion (magnetic) mode formalism of ISODISTORT.<br>The variable temperature synchrotron XRD patterns used to construct Fig S8 were obtained at beamline 09A, Taiwan Photon Source (TPS) with 15 keV beam energy.<br>
DOI: 10.5519/qd.9xjgzs6b
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (125 records)
DOI: 10.5519/qd.yc2cu8tl
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (164 records)
DOI: 10.26186/145772
title: Fit for purpose metadata video

description: This video demonstrates to viewers the importance and value on fit for purpose metadata, metadata standards, and metadata profiles.
DOI: 10.18112/openneuro.ds003825.v1.1.0
title: Human electroencephalography recordings from 50 subjects for 22,248 images from 1,854 object concepts
DOI: 10.6084/m9.figshare.14937117.v1
title: Limitations and Options for Targeted Therapy of Anaplastic Thyroid Cancer: a Novel genome-based Approach. Supplementary

description: In order to find new therapeutic options in anaplastic thyroid cancer, all FDA-approved drugs for any cancer therapy were identified by searching the databases of National Cancer Institute and MyCancerGenome. Finally, 129 FDA/EMA-approved drugs targeting cancer genetic alterations were included. These drug lists were linked to 128 genes by querying databases of MD Anderson Cancer Center and Drugbank, which encode the potential sites of binding and action. Moreover, special attention was given to specific genetic alterations resulting in either drug sensitivity or drug resistance of targeted therapy. Hereby the expert-crowdsourced, publication-based databases from MyCancerGenome, CIViC, TARGET and OncoKB were mined. <br>
DOI: 10.6084/m9.figshare.16713346
title: Test data of concrete prisms confined by FRP laminate and spike anchors.docx

description: Dataset on tested concrete prisms confined by FRP laminate and spike anchors. Part of these data have been published in ASCE’s Journal of Composites for Construction with DOI: 10.1061/(ASCE)CC.1943-5614.0001171. The authors aim to publish the rest of the data in journal soon.
DOI: 10.6084/m9.figshare.14937117.v2
title: Limitations and Options for Targeted Therapy of Anaplastic Thyroid Cancer: a Novel genome-based Approach. Supplementary

description: In order to find new therapeutic options in anaplastic thyroid cancer, first all FDA-approved drugs for any cancer therapy were identified by searching the databases of National Cancer Institute and MyCancerGenome (database query 09/2021). Unspecific drugs such as Tretinoin or Cabazitaxel were excluded (Supplementary Table 1(11)). Finally, 155 FDA/EMA-approved drugs targeting cancer genetic alterations were included. These drug lists were linked to 136 genes by querying databases of MD Anderson Cancer Center and Drugbank, which encode the potential sites of binding and action (Supplementary Table 1). Moreover, special attention was given to specific genetic alterations resulting in either drug sensitivity or drug resistance of targeted therapy. Hereby the expert-crowdsourced, publication-based databases from MyCancerGenome, CIViC, TARGET and OncoKB (Supplementary Table 2) were mined. @font-face {font-family:"Cambria Math"; panose-1:2 4 5 3 5 4 6 3 2 4; mso-font-charset:0; mso-generic-font-family:roman; mso-font-pitch:variable; mso-font-signature:-536870145 1107305727 0 0 415 0;}@font-face {font-family:Calibri; panose-1:2 15 5 2 2 2 4 3 2 4; mso-font-charset:0; mso-generic-font-family:swiss; mso-font-pitch:variable; mso-font-signature:-536859905 -1073732485 9 0 511 0;}p.MsoNormal, li.MsoNormal, div.MsoNormal {mso-style-unhide:no; mso-style-qformat:yes; mso-style-parent:""; margin-top:0cm; margin-right:0cm; margin-bottom:10.0pt; margin-left:0cm; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri",sans-serif; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:Calibri; mso-fareast-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi; mso-ansi-language:DE; mso-fareast-language:EN-US;}.MsoChpDefault {mso-style-type:export-only; mso-default-props:yes; font-size:11.0pt; mso-ansi-font-size:11.0pt; mso-bidi-font-size:11.0pt; font-family:"Calibri",sans-serif; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:Calibri; mso-fareast-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi; mso-ansi-language:DE; mso-fareast-language:EN-US;}.MsoPapDefault {mso-style-type:export-only; margin-bottom:10.0pt; line-height:115%;}div.WordSection1 {page:WordSection1;}