cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4891337
title: First Observations of the New MEXART's Digital System

description: The data set contains the first observations of the new digital system of the Mexican Array Radio Telescope (MEXART). Figure 05 data (20210202_032343-2b0.txt, 20210202_032343ch-181.txt, FIG05-20210202_032343-clean.txt) are Ascii files with two numeric columns of transit of Crab Nebulula during about 16 minutes, starting at 03:23:43 UT on February 2, 2021. The first column is the time-stamp with a time rate of 20 ms. The second column is the integrated flux power for each time. Each file has a different observing bandwidth. The file 20210202_032343ch-181.txt has a bandwidth = 24.4 MHz, and it was used to obtain the first row in Table 2. The file 20210202_032343-2b0.txt has a bandwidth = 2 MHz, and it was used to obtain the 2nd row in Table 2. The file FIG05-20210202_032343-clean.txt has a bandwidth = 12.5 MHz, and it was used sed to plot Figure 5. The file FIG07-beam_20210130_220521.hdf5 has the observation of the transit of the Galaxy at 140~MHz detected with 64 latitudinal beams (each one having 512 frequency channels). The file is an HDF5 from April 10, 2021, the integration time is 1.5 s, 64 beams are recorded in 512 channels with a bandwidth of 12.5 MHz, the observation time was 23 hours and 56 minutes. The file FIG09-3C48-08-04-2021_beam0.txt: integrated total flux @140 MHz, Source: 3C48 Date: 08-04-2021; Start time: 2021-04-08 19:11:06.362426, End time: 2021-04-08 19:21:53.270904, Column 1: yyyy-mm-dd, Column 2: HH:MM:SS, Column 3: AMPLITUDE, Integrated number of channels 430 out of 512. Bandwidth in MHz: 10.492
DOI: 10.5281/zenodo.4891336
title: First Observations of the New MEXART's Digital System

description: The data set contains the first observations of the new digital system of the Mexican Array Radio Telescope (MEXART). Figure 05 data (20210202_032343-2b0.txt, 20210202_032343ch-181.txt, FIG05-20210202_032343-clean.txt) are Ascii files with two numeric columns of transit of Crab Nebulula during about 16 minutes, starting at 03:23:43 UT on February 2, 2021. The first column is the time-stamp with a time rate of 20 ms. The second column is the integrated flux power for each time. Each file has a different observing bandwidth. The file 20210202_032343ch-181.txt has a bandwidth = 24.4 MHz, and it was used to obtain the first row in Table 2. The file 20210202_032343-2b0.txt has a bandwidth = 2 MHz, and it was used to obtain the 2nd row in Table 2. The file FIG05-20210202_032343-clean.txt has a bandwidth = 12.5 MHz, and it was used sed to plot Figure 5. The file FIG07-beam_20210130_220521.hdf5 has the observation of the transit of the Galaxy at 140~MHz detected with 64 latitudinal beams (each one having 512 frequency channels). The file is an HDF5 from April 10, 2021, the integration time is 1.5 s, 64 beams are recorded in 512 channels with a bandwidth of 12.5 MHz, the observation time was 23 hours and 56 minutes. The file FIG09-3C48-08-04-2021_beam0.txt: integrated total flux @140 MHz, Source: 3C48 Date: 08-04-2021; Start time: 2021-04-08 19:11:06.362426, End time: 2021-04-08 19:21:53.270904, Column 1: yyyy-mm-dd, Column 2: HH:MM:SS, Column 3: AMPLITUDE, Integrated number of channels 430 out of 512. Bandwidth in MHz: 10.492
DOI: 10.17909/t9-6ff6-pz19
title: S106 data

description: HST data used in Bally et al. 2021 S106 paper
DOI: 10.5281/zenodo.4898378
title: The Global Jukebox: Ensemble

description: The data repository for the Ensemble dataset
DOI: 10.5281/zenodo.4898377
title: The Global Jukebox: Ensemble

description: The data repository for the Ensemble dataset
DOI: 10.5281/zenodo.4898380
title: The Global Jukebox: Social Factors

description: The data repository for the Social Factors dataset
DOI: 10.5281/zenodo.4898379
title: The Global Jukebox: Social Factors

description: The data repository for the Social Factors dataset
DOI: 10.6084/m9.figshare.14727690
title: SARS-CoV-2 FASTQs

description: Example reads from a SARS-CoV-2 sample
DOI: 10.6084/m9.figshare.14727690.v1
title: SARS-CoV-2 FASTQs

description: Example reads from a SARS-CoV-2 sample
DOI: 10.5281/zenodo.4898383
title: The Global Jukebox: Phonotactics

description: The data repository for the Phonotactics dataset
DOI: 10.5281/zenodo.4898382
title: The Global Jukebox: Phonotactics

description: The data repository for the Phonotactics dataset
DOI: 10.5281/zenodo.4898385
title: The Global Jukebox: Parlametrics

description: The data repository for the Parlametrics dataset
DOI: 10.5281/zenodo.4898384
title: The Global Jukebox: Parlametrics

description: The data repository for the Parlametrics dataset
DOI: 10.5281/zenodo.4898387
title: The Global Jukebox: Minutage

description: The data repository for the Minutage dataset
DOI: 10.5281/zenodo.4898386
title: The Global Jukebox: Minutage

description: The data repository for the Minutage dataset
DOI: 10.6084/m9.figshare.14396456
title: Source Data File and SI Dataset 1 File for Manuscript "Probing the Effects of Acid Electrolyte Anions on Electrocatalyst Activity and Selectivity for the Oxygen Reduction Reaction" by J.A. Zamora Zeledón, G.A. Kamat, G.T.K.K. Gunasooriya, et al.

description: Source Data File (main text figures) and Supporting Information Dataset 1(Anion Properties and Correlation Analysis Inputs) for Manuscript "Probing the effect of acid electrolyte anions on electrocatalyst performance for the oxygen reduction reaction" by J.A. Zamora Zeledón, G.A. Kamat, G.T.K.K. Gunasooriya, et al.
DOI: 10.6084/m9.figshare.14396456.v1
title: Source Data File and SI Dataset 1 File for Manuscript "Probing the Effects of Acid Electrolyte Anions on Electrocatalyst Activity and Selectivity for the Oxygen Reduction Reaction" by J.A. Zamora Zeledón, G.A. Kamat, G.T.K.K. Gunasooriya, et al.

description: Source Data File (main text figures) and Supporting Information Dataset 1(Anion Properties and Correlation Analysis Inputs) for Manuscript "Probing the effect of acid electrolyte anions on electrocatalyst performance for the oxygen reduction reaction" by J.A. Zamora Zeledón, G.A. Kamat, G.T.K.K. Gunasooriya, et al.
DOI: 10.5281/zenodo.4898389
title: The Global Jukebox: Instruments

description: The data repository for the Instruments dataset
DOI: 10.5281/zenodo.4898388
title: The Global Jukebox: Instruments

description: The data repository for the Instruments dataset
DOI: 10.18739/a2qb9v66g
title: Historical and future wind events for Alaskan communities, Alaska, 1980-2099

description: Warning to data users - In versions before doi:10.18739/A2QB9V66G, errors have been discovered in the following variables of this dataset: mean_direction. If you have previously downloaded this dataset which included those variables please download the new version of the dataset. Hourly wind data from 67 Alaska communities with observing stations, one atmospheric reanalysis, and two global climate models were processed to identify wind events exceeding location-specific thresholds. The ERA (ECMWF (European Centre for Medium-Range Weather Forecasts) Re-Analysis)-Interim reanalysis and output from the GFDL-CM3 (Geophysical Fluid Dynamics Laboratory) and NCAR-CCSMM4 (National Center for Atmospheric Research) global climate models were downscaled to Alaska and the surrounding regions using the Weather Research and Forecasting model. Hourly wind speed measurements collected during 1980-2015 at 67 Alaskan communities via ASOS/AWOS (Automated Surface Observing System/Automated Weather Observing System) stations were used to bias-correct the WRF-downscaled (Weather Research and Forecasting) ERA-Interim hourly wind speed output. These were subsequently used to bias-correct the historical (1979-2005) and future (2006-2100) WRF-downscaled CM3/CCSM4 wind speeds. These wind speeds were then processed to identify wind events meeting a set of speed and duration thresholds. A wind event was defined as the wind speed being greater than the wind speed threshold, for some duration in hours. Five wind speed thresholds were used for each community. The thresholds were community-specific, and were calculated as the 50th, 75th, 85th, 95th, and 99th percentiles of the ERA-Interim wind speed distributions for the particular community. The five duration thresholds used were 1, 6, 12, 24, and 48 hours. This dataset contains all wind events identified for each of the 67 communities, with each row of the data file consisting of a single wind event. This data drives some of the visualizations in the webtool found here.
DOI: 10.5281/zenodo.4898406
title: The Global Jukebox: Cantometrics

description: The data repository for the Cantometrics dataset
DOI: 10.5281/zenodo.4895897
title: The Global Jukebox: Cantometrics

description: The data repository for the Cantometrics dataset
DOI: 10.25345/c5v82s
title: MassIVE MSV000087569 - Phosphoproteomic analysis of activated P. falciparum gametocytes, wild type NF54 and PfCDPK4 knockout
title: Gametocytes of the malaria parasite Plasmodium are taken up by the mosquito vector with an infectious blood meal, representing a critical stage for parasite transmission. It is well known that calcium dependent protein kinases (CDPKs) play key roles in calcium-mediated signaling across the complex life cycle of the parasite and we sought to understand their role in transmission from the mammalian host to the mosquito vector. Here, we investigated the role of CDPK4 in the life cycle of the human-infective parasite Plasmodium falciparum . We created Plasmodium falciparum cdpk4 knockout parasites by targeted gene deletion, and this deletion had no effect on blood stage development or gametocyte development. However, cdpk4 knockout parasites showed a severe defect in male gametogenesis and the emergence of male flagellated gametes. To understand this defect, we performed mass spectrometry-based phosphoproteomic analysis of wild type and Plasmodium falciparum cdpk4 knockout late gametocyte stages in order to identify key CDPK4-mediated phosphorylation events that may be important for the regulation of male gametogenesis.
DOI: 10.6084/m9.figshare.14727741
title: 24hpf CTCF Whole Embryo

description: For UCSC
DOI: 10.6084/m9.figshare.14727744.v1
title: Underlying Data

description: Underlying dataset regarding economic evaluation of junior doctors at triage in the Australian ED setting
DOI: 10.6084/m9.figshare.14727744
title: Underlying Data

description: Underlying dataset regarding economic evaluation of junior doctors at triage in the Australian ED setting
DOI: 10.17632/79y8zh2b3f.1
title: Data for: Design and Evaluation of a Stiffness Measurement Apparatus (SMApp) for Ankle-Foot Orthoses

description: Study data.
DOI: 10.6084/m9.figshare.14727783
title: Survey Data

description: Survey data set
DOI: 10.6084/m9.figshare.14723958
title: Double mutations in succinate dehydrogenase are involved in SDHI resistance in Corynespora cassiicola

description: Corynespora leaf spot (CLS) caused by<i> C. cassiicola</i> has become one of the most important plant diseases in cucumber. At present, the main method to control CLS depends on fungicides, such as succinate dehydrogenase inhibitors (SDHIs). However, the incidence of SDHIs resistance in <i>C. cassiicola</i> populations has gradually increased in recent years due to the large-scale reuse of these fungicides and their single mode of action, leading to the failure to control Corynespora leaf spot. With increasing dosages and service times, even greater resistance to SDHIs caused by double mutations may occur in the field. In this paper, site-directed mutagenesis was performed on a single-point mutant strain to generate strains with double mutations in the sdh gene. All of the double mutations of succinate dehydrogenase were involved in SDHIs resistance in <i>C. cassiicola</i>, with different levels of SDHI resistance among the mutant strains. Under the selective pressure of SDHIs, a single mutation conferring moderate to low resistance may evolve into double mutations conferring higher resistance to SDHIs. Therefore, we should reduce the application of SDHIs used in controlling leaf spot in greenhouse-cultivated cucumber and recommend using other types of fungicides for controlling this disease.
DOI: 10.6084/m9.figshare.14723958.v1
title: Double mutations in succinate dehydrogenase are involved in SDHI resistance in Corynespora cassiicola

description: Corynespora leaf spot (CLS) caused by<i> C. cassiicola</i> has become one of the most important plant diseases in cucumber. At present, the main method to control CLS depends on fungicides, such as succinate dehydrogenase inhibitors (SDHIs). However, the incidence of SDHIs resistance in <i>C. cassiicola</i> populations has gradually increased in recent years due to the large-scale reuse of these fungicides and their single mode of action, leading to the failure to control Corynespora leaf spot. With increasing dosages and service times, even greater resistance to SDHIs caused by double mutations may occur in the field. In this paper, site-directed mutagenesis was performed on a single-point mutant strain to generate strains with double mutations in the sdh gene. All of the double mutations of succinate dehydrogenase were involved in SDHIs resistance in <i>C. cassiicola</i>, with different levels of SDHI resistance among the mutant strains. Under the selective pressure of SDHIs, a single mutation conferring moderate to low resistance may evolve into double mutations conferring higher resistance to SDHIs. Therefore, we should reduce the application of SDHIs used in controlling leaf spot in greenhouse-cultivated cucumber and recommend using other types of fungicides for controlling this disease.
DOI: 10.5281/zenodo.4711220
title: A global phylogenetic regionalisation of vascular plants reveals a deep split between Gondwanan and Laurasian biotas

description: This release includes the data and code that support the findings presented in: Carta A, Peruzzi L, Ramírez-Barahona S. 2021. A global phylogenetic regionalisation of vascular plants reveals a deep split between Gondwanan and Laurasian biotas
DOI: 10.5281/zenodo.4711219
title: A global phylogenetic regionalisation of vascular plants reveals a deep split between Gondwanan and Laurasian biotas

description: This release includes the data and code that support the findings presented in: Carta A, Peruzzi L, Ramírez-Barahona S. 2021. A global phylogenetic regionalisation of vascular plants reveals a deep split between Gondwanan and Laurasian biotas
DOI: 10.5281/zenodo.4898428
title: CoVaxxy Tweet IDs data set

description: A collection of Tweet IDs related to Covid-19 Vaccines, gathered from Twitter since Jan 4, 2021. Please see https://arxiv.org/abs/2101.07694 for more information.
DOI: 10.3886/e141142
title: Mental Illness on Social Communication

description: This article presents research within an area of study between psychology and social communication. The study approaches how the term “mental illness” is used in academic communication within a dataset compared with other two online databases: one of newspaper articles and another of film abstracts. More than 5000 abstracts extracted from those databases have been analyzed using computational techniques with R programming: network relations, longitudinal analysis, correlations calculus and sentiment analysis. We have been able to describe the social imaginaries present in communication about mental illness in those datasets. Our findings revealed a significant gap between the scientific standards and common view on mental health, somehow related with the stigma linked to mental illness. Two social imaginaries of mental illness have been identified mining those three datasets: the academical and the popular social imaginary of mental illness. Between them, what is relevant for one tends to be opaque in the other. Only by understanding how complexity is simplified in social communication would be able to manage better, not just the suffering of living with a mental illness, but also the stigma surrounding mental illness.
DOI: 10.3886/e141142v1
title: Mental Illness on Social Communication

description: This article presents research within an area of study between psychology and social communication. The study approaches how the term “mental illness” is used in academic communication within a dataset compared with other two online databases: one of newspaper articles and another of film abstracts. More than 5000 abstracts extracted from those databases have been analyzed using computational techniques with R programming: network relations, longitudinal analysis, correlations calculus and sentiment analysis. We have been able to describe the social imaginaries present in communication about mental illness in those datasets. Our findings revealed a significant gap between the scientific standards and common view on mental health, somehow related with the stigma linked to mental illness. Two social imaginaries of mental illness have been identified mining those three datasets: the academical and the popular social imaginary of mental illness. Between them, what is relevant for one tends to be opaque in the other. Only by understanding how complexity is simplified in social communication would be able to manage better, not just the suffering of living with a mental illness, but also the stigma surrounding mental illness.
DOI: 10.6084/m9.figshare.14681580
title: Statistical_Zymography_Purified_Dentilisin_1-5ug/mL

description: Statistical analysis of gelatin Zymography generated from stimulating hPDL cells with purified dentilisin at varying concentrations.
DOI: 10.6084/m9.figshare.14681580.v1
title: Statistical_Zymography_Purified_Dentilisin_1-5ug/mL

description: Statistical analysis of gelatin Zymography generated from stimulating hPDL cells with purified dentilisin at varying concentrations.
DOI: 10.6084/m9.figshare.14681559.v1
title: MyD88 KD_IF_Sp1_DataAnalysis

description: Statistical analysis of data generated from image analysis of IF images.
DOI: 10.6084/m9.figshare.14681559
title: MyD88 KD_IF_Sp1_DataAnalysis

description: Statistical analysis of data generated from image analysis of IF images.
DOI: 10.6084/m9.figshare.14681565
title: TLR2 KD_IF_Sp1_DataAnalysis

description: Statistical analysis of results generated from IF image analysis
DOI: 10.6084/m9.figshare.14681577.v1
title: Total Sp1_Td-WT+Td-CF522_WesternBlot_Densitometry_Analysis_

description: Total Sp1_Td-WT+Td-CF522_WesternBlot_Densitometry_Analysis_
DOI: 10.6084/m9.figshare.14681577
title: Total Sp1_Td-WT+Td-CF522_WesternBlot_Densitometry_Analysis_

description: Total Sp1_Td-WT+Td-CF522_WesternBlot_Densitometry_Analysis_
DOI: 10.6084/m9.figshare.14681550
title: 24-Hr_Sp1shRNA_Td-CF522_Dentilisin_Td-WT_Validation+MMPExpression

description: 24-Hr_Sp1 KD_Td-CF522_Dentilisin_Td-WT_Validation+MMPExpression
DOI: 10.6084/m9.figshare.14681520
title: 24-Hr_MyD88 KD_Dentilisin_Td-WT_Td-CF522_MMP Expression Data

description: 24-Hr_MyD88 KD_Dentilisin_Td-WT_Td-CF522_MMP Expression Data
DOI: 10.6084/m9.figshare.14681523.v1
title: 24-Hour_TLR2 KD_Dentilisin_Td-WT_Td-CF522_MMP_mRNA_Expression_Analysis

description: 24-Hour_TLR2KD_Dentilisin_Td-WT_Td-CF522_MMP_mRNA_Expression_Analysis
DOI: 10.6084/m9.figshare.14681550.v1
title: 24-Hr_Sp1shRNA_Td-CF522_Dentilisin_Td-WT_Validation+MMPExpression

description: 24-Hr_Sp1 KD_Td-CF522_Dentilisin_Td-WT_Validation+MMPExpression
DOI: 10.6084/m9.figshare.14681565.v1
title: TLR2 KD_IF_Sp1_DataAnalysis

description: Statistical analysis of results generated from IF image analysis
DOI: 10.6084/m9.figshare.14681511
title: hPDL + Td-WT, Purified Dentilisin and Td-CF522 mRNA Expression Data

description: hPDL + Td-WT, Purified Dentilisin and Td-CF522 mRNA Expression Data
DOI: 10.6084/m9.figshare.14681520.v2
title: 24-Hr_MyD88 KD_Dentilisin_Td-WT_Td-CF522_MMP Expression Data

description: 24-Hr_MyD88 KD_Dentilisin_Td-WT_Td-CF522_MMP Expression Data
DOI: 10.6084/m9.figshare.14681511.v1
title: hPDL + Td-WT, Purified Dentilisin and Td-CF522 mRNA Expression Data

description: hPDL + Td-WT, Purified Dentilisin and Td-CF522 mRNA Expression Data
DOI: 10.6084/m9.figshare.14681523
title: 24-Hour_TLR2 KD_Dentilisin_Td-WT_Td-CF522_MMP_mRNA_Expression_Analysis

description: 24-Hour_TLR2KD_Dentilisin_Td-WT_Td-CF522_MMP_mRNA_Expression_Analysis
DOI: 10.6084/m9.figshare.14681508.v1
title: 24-Hour, Td-WT+ V. parvula, MMP mRNA expression Data

description: qRT-PCR MMP mRNA data analysis for hPDL cells challenged with Td-WT and V. parvula
DOI: 10.6084/m9.figshare.13549421
title: Venn

description: RNA-Seq data used to generate a Venn diagram
DOI: 10.6084/m9.figshare.14681508
title: 24-Hour, Td-WT+ V. parvula, MMP mRNA expression Data

description: qRT-PCR MMP mRNA data analysis for hPDL cells challenged with Td-WT and V. parvula
DOI: 10.6084/m9.figshare.13549421.v2
title: Venn

description: RNA-Seq data used to generate a Venn diagram
DOI: 10.6084/m9.figshare.14681520.v1
title: Untitled Ite24-Hr_MyD88 KD_Dentilisin_Td-WT_Td-CF522_MMP Expression Data

description: 24-Hr_MyD88 KD_Dentilisin_Td-WT_Td-CF522_MMP Expression Data
DOI: 10.6084/m9.figshare.13549415.v2
title: Quantification

description: Quantification of read counts, Correlation, and Dispersion
DOI: 10.6084/m9.figshare.13549421.v1
title: Venn

description: N/A
DOI: 10.6084/m9.figshare.13549415.v1
title: Quantification

description: Quantification of read counts, Correlation, and Dispersion
DOI: 10.6084/m9.figshare.13549412
title: Quality Control

description: QC data
DOI: 10.6084/m9.figshare.13549415
title: Quantification

description: Quantification of read counts, Correlation, and Dispersion
DOI: 10.6084/m9.figshare.13549403
title: Hierarchical Clustering

description: Hierarchical Clustering Analysis data used for Heatmap
DOI: 10.6084/m9.figshare.13549403.v1
title: Hierarchical Clustering

description: Hierarchical Clustering Analysis data used for Heatmap
DOI: 10.6084/m9.figshare.13549388
title: KEGG

description: Kyoto Encyclopedia of Genes and Genomes (KEGG)
DOI: 10.6084/m9.figshare.13549382.v2
title: Gene Ontology

description: Gene Ontology Terms (Reactome)
DOI: 10.6084/m9.figshare.13549412.v2
title: Quality Control

description: QC data
DOI: 10.6084/m9.figshare.13549382.v1
title: Gene Ontology

description: Gene Ontology Terms (Reactome)
DOI: 10.6084/m9.figshare.13549412.v1
title: Quality Control

description: QC data
DOI: 10.6084/m9.figshare.13549382
title: Gene Ontology

description: Gene Ontology Terms (Reactome)
DOI: 10.6084/m9.figshare.13549376
title: Differential Expression

description: Differential expression analysis (DEseq)
DOI: 10.6084/m9.figshare.13549388.v2
title: KEGG

description: Kyoto Encyclopedia of Genes and Genomes (KEGG)
DOI: 10.6084/m9.figshare.13549376.v3
title: Differential Expression

description: Differential expression analysis (DEseq)
DOI: 10.6084/m9.figshare.13549376.v2
title: Differential Expression

description: Differential expression analysis (DEseq)
DOI: 10.6084/m9.figshare.13549388.v1
title: KEGG

description: Kyoto Encyclopedia of Genes and Genomes (KEGG)