cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12032949
title: Additional file 2 of Community mobilisation to prevent violence against women and girls in eastern India through participatory learning and action with women’s groups facilitated by accredited social health activists: a before-and-after pilot study

description: Additional file 2. Study dataset.
DOI: 10.6084/m9.figshare.12032949.v1
title: Additional file 2 of Community mobilisation to prevent violence against women and girls in eastern India through participatory learning and action with women’s groups facilitated by accredited social health activists: a before-and-after pilot study

description: Additional file 2. Study dataset.
DOI: 10.6084/m9.figshare.12032763
title: Data - predation avoidance and foraging efficiency contribute to mixed-species shoaling by tropical and temperate fishes.xlsx

description: Data associated with the publication: Paijmans, KC, Booth, DJ, Wong, MYL. Predation avoidance and foraging efficiency contribute to mixed‐species shoaling by tropical and temperate fishes. <i>J Fish Biol</i>. 2020; 96: 806– 814. https://doi.org/10.1111/jfb.14277<br>
DOI: 10.6084/m9.figshare.12032760
title: Data depository for "The isotopic composition of atmospheric nitrous oxide observed at the high-altitude research station Jungfraujoch, Switzerland "

description: Attached is the dataset for the ACPD publication "The isotopic composition of atmospheric nitrous oxide observed at the high-altitude research station Jungfraujoch, Switzerland" (ACP-2019-829)<br>
DOI: 10.6084/m9.figshare.12032757
title: Estimating the level of disease risk and biosecurity on commercial poultry farms in New Zealand

description: <b>Aims:</b> To collect baseline data on the contact risk pathways and biosecurity practices of commercial poultry farms in New Zealand, investigate the relationship between the farm-level disease contact risks and biosecurity practices, and identify important poultry health concerns of producers. <b>Methods:</b> A cross-sectional survey of all registered New Zealand commercial poultry operations was conducted in 2016 collecting information on farm demographics, biosecurity practices, and contact risk pathways. Survey responses were used to generate an unweighted subjective disease risk score based on eight risk criteria and a subjective biosecurity score based on the frequency with which producers reported implementing seven biosecurity measures. Producer opinions towards poultry health issues were also determined. <b>Results:</b> Responses to the survey response were obtained from 120/414 (29.0%) producers, including 57/157 (36.3%) broiler, 33/169 (19.5%) layer, 24/55 (44%) breeder, and 6/32 (19%) other poultry production types. Median disease risk scores differed between production types (p <b>Conclusions:</b> The uptake of biosecurity measures in the commercial poultry farms surveyed was highly variable, with some having very low scores despite significant potential disease contact risks. This may be related to the low prevalence or absence of many important infectious poultry diseases in New Zealand leading farmers to believe there is a limited need to maintain good biosecurity as well as farmer uncertainty around the efficacy of different biosecurity measures. Further research is needed to understand barriers towards biosecurity adoption including evaluating the cost-effectiveness of biosecurity interventions.
DOI: 10.6084/m9.figshare.12032760.v1
title: Data depository for "The isotopic composition of atmospheric nitrous oxide observed at the high-altitude research station Jungfraujoch, Switzerland "

description: Attached is the dataset for the ACPD publication "The isotopic composition of atmospheric nitrous oxide observed at the high-altitude research station Jungfraujoch, Switzerland" (ACP-2019-829)<br>
DOI: 10.6084/m9.figshare.12032763.v1
title: Data - predation avoidance and foraging efficiency contribute to mixed-species shoaling by tropical and temperate fishes.xlsx

description: Data associated with the publication: Paijmans, KC, Booth, DJ, Wong, MYL. Predation avoidance and foraging efficiency contribute to mixed‐species shoaling by tropical and temperate fishes. <i>J Fish Biol</i>. 2020; 96: 806– 814. https://doi.org/10.1111/jfb.14277<br>
DOI: 10.6084/m9.figshare.12032757.v1
title: Estimating the level of disease risk and biosecurity on commercial poultry farms in New Zealand

description: <b>Aims:</b> To collect baseline data on the contact risk pathways and biosecurity practices of commercial poultry farms in New Zealand, investigate the relationship between the farm-level disease contact risks and biosecurity practices, and identify important poultry health concerns of producers. <b>Methods:</b> A cross-sectional survey of all registered New Zealand commercial poultry operations was conducted in 2016 collecting information on farm demographics, biosecurity practices, and contact risk pathways. Survey responses were used to generate an unweighted subjective disease risk score based on eight risk criteria and a subjective biosecurity score based on the frequency with which producers reported implementing seven biosecurity measures. Producer opinions towards poultry health issues were also determined. <b>Results:</b> Responses to the survey response were obtained from 120/414 (29.0%) producers, including 57/157 (36.3%) broiler, 33/169 (19.5%) layer, 24/55 (44%) breeder, and 6/32 (19%) other poultry production types. Median disease risk scores differed between production types (p <b>Conclusions:</b> The uptake of biosecurity measures in the commercial poultry farms surveyed was highly variable, with some having very low scores despite significant potential disease contact risks. This may be related to the low prevalence or absence of many important infectious poultry diseases in New Zealand leading farmers to believe there is a limited need to maintain good biosecurity as well as farmer uncertainty around the efficacy of different biosecurity measures. Further research is needed to understand barriers towards biosecurity adoption including evaluating the cost-effectiveness of biosecurity interventions.
DOI: 10.6084/m9.figshare.12032745.v1
title: Molecular docking study on the structure of COVID-19 main protease (MPro) to find the best viral iinhibitor

description: Molecular docking study on the structure of COVID-19 main protease (MPro) to find the best viral iinhibitor
DOI: 10.6084/m9.figshare.12032745.v2
title: Molecular docking study on the structure of COVID-19 main protease (MPro) to find the best viral iinhibitor

description: Molecular docking study on the structure of COVID-19 main protease (MPro) to find the best viral iinhibitor
DOI: 10.6084/m9.figshare.12032745.v3
title: Molecular docking study on the structure of COVID-19 main protease (MPro) to find the best viral iinhibitor

description: Molecular docking study on the structure of COVID-19 main protease (MPro) to find the best viral iinhibitor
DOI: 10.6084/m9.figshare.12032730
title: Structure of COVID-19 main protease (MPro) for computational study

description: <b>Coronaviruses are enveloped RNA viruses that are spherical in shape and characterized by crown-like spikes on the surface under an electron microscope, hence the name. This type of virus can be further divided into four subgroups: alpha, beta, gamma, and delta. There are seven human coronavirus strains, including two alpha coronaviruses (HCov-229E and HCoV-NL63), two beta coronaviruses (HCov-HKU1 and HCov-OC43), MERS-CoV, SARS-CoV, and the newly discovered SARS-CoV-2. Coronaviruses are major pathogens in both humans and other animals.</b><br>
DOI: 10.6084/m9.figshare.12032730.v1
title: Structure of COVID-19 main protease (MPro) for computational study

description: <b>Coronaviruses are enveloped RNA viruses that are spherical in shape and characterized by crown-like spikes on the surface under an electron microscope, hence the name. This type of virus can be further divided into four subgroups: alpha, beta, gamma, and delta. There are seven human coronavirus strains, including two alpha coronaviruses (HCov-229E and HCoV-NL63), two beta coronaviruses (HCov-HKU1 and HCov-OC43), MERS-CoV, SARS-CoV, and the newly discovered SARS-CoV-2. Coronaviruses are major pathogens in both humans and other animals.</b><br>
DOI: 10.6084/m9.figshare.12032745.v4
title: Molecular docking study on the structure of COVID-19 main protease (MPro) to find the best viral iinhibitor

description: Molecular docking study on the structure of COVID-19 main protease (MPro) to find the best viral iinhibitor
DOI: 10.6084/m9.figshare.12032727
title: data_peerJ.dta

description: This dataset contain information on healthy women who participated in a research on plasma volume and micronutrient biomarkers. Data blood samples were collected during the menstrual phase of their menstrual cycles to standardized the effect of ovarian hormones influences.
DOI: 10.6084/m9.figshare.12032745.v5
title: Molecular docking study on the structure of COVID-19 main protease (MPro) to find the best viral iinhibitor

description: Molecular docking study on the structure of COVID-19 main protease (MPro) to find the best viral iinhibitor
DOI: 10.6084/m9.figshare.12032727.v1
title: data_peerJ.dta

description: This dataset contain information on healthy women who participated in a research on plasma volume and micronutrient biomarkers. Data blood samples were collected during the menstrual phase of their menstrual cycles to standardized the effect of ovarian hormones influences.
DOI: 10.6084/m9.figshare.12032718
title: Spatio-temporal variation in species composition of New Zealand's whitebait fishery

description: Whitebait comprise a culturally, commercially and recreationally important fishery in New Zealand, where post-larvae are netted while returning from their marine phase. In this study, we expanded an historical (1964) sampling programme to gain a contemporary understanding of the species composition of the whitebait fishery; 87 rivers were sampled over six months in 2015. Over the entire country, &gt;12 species were found in samples and 87.6% of these were īnanga (<i>Galaxias maculatus</i>). Kōaro (<i>G. brevipinnis</i>) and banded kōkopu (<i>G. fasciatus</i>) were abundant in some rivers and regions at particular times of the year. Buller was the most variable region, spatially and temporally, for species composition; Canterbury was the least variable. Banded kōkopu whitebait migrated one month earlier north of Cook Strait than in the south. There was a positive association between the abundance of kōaro and banded kōkopu in samples and the level of indigenous forest cover in catchments. Compared to samples from 50 years ago, there was a greater proportion of kōaro and banded kōkopu whitebait throughout the country. This spatio-temporal variability requires fishery regulations to be more tailored and flexible if they are to conserve the diversity of life-histories present in the catch and sustain the whitebait fishery.
DOI: 10.6084/m9.figshare.12032745.v6
title: Molecular docking study on the structure of COVID-19 main protease (MPro) to find the best viral iinhibitor

description: Molecular docking study on the structure of COVID-19 main protease (MPro) to find the best viral iinhibitor
DOI: 10.6084/m9.figshare.12032718.v1
title: Spatio-temporal variation in species composition of New Zealand's whitebait fishery

description: Whitebait comprise a culturally, commercially and recreationally important fishery in New Zealand, where post-larvae are netted while returning from their marine phase. In this study, we expanded an historical (1964) sampling programme to gain a contemporary understanding of the species composition of the whitebait fishery; 87 rivers were sampled over six months in 2015. Over the entire country, &gt;12 species were found in samples and 87.6% of these were īnanga (<i>Galaxias maculatus</i>). Kōaro (<i>G. brevipinnis</i>) and banded kōkopu (<i>G. fasciatus</i>) were abundant in some rivers and regions at particular times of the year. Buller was the most variable region, spatially and temporally, for species composition; Canterbury was the least variable. Banded kōkopu whitebait migrated one month earlier north of Cook Strait than in the south. There was a positive association between the abundance of kōaro and banded kōkopu in samples and the level of indigenous forest cover in catchments. Compared to samples from 50 years ago, there was a greater proportion of kōaro and banded kōkopu whitebait throughout the country. This spatio-temporal variability requires fishery regulations to be more tailored and flexible if they are to conserve the diversity of life-histories present in the catch and sustain the whitebait fishery.
DOI: 10.6084/m9.figshare.12032622
title: In silico analysis of CDH2 variants found in our cohort prediction.

description: In silico analysis of CDH2 variants found in our cohort prediction.
DOI: 10.6084/m9.figshare.12032745.v7
title: Molecular docking study on the structure of COVID-19 main protease (MPro) to find the best viral iinhibitor

description: Molecular docking study on the structure of COVID-19 main protease (MPro) to find the best viral iinhibitor
DOI: 10.6084/m9.figshare.12032622.v1
title: In silico analysis of CDH2 variants found in our cohort prediction.

description: In silico analysis of CDH2 variants found in our cohort prediction.
DOI: 10.6084/m9.figshare.12032616
title: In silico analysis of CDH2 synonymous variants frequency.

description: In silico analysis of CDH2 synonymous variants frequency.
DOI: 10.6084/m9.figshare.12032745.v8
title: Molecular docking study on the structure of COVID-19 main protease (MPro) to find the best viral iinhibitor

description: Molecular docking study on the structure of COVID-19 main protease (MPro) to find the best viral iinhibitor
DOI: 10.6084/m9.figshare.12032616.v1
title: In silico analysis of CDH2 synonymous variants frequency.

description: In silico analysis of CDH2 synonymous variants frequency.
DOI: 10.6084/m9.figshare.12032745.v9
title: Molecular docking study on the structure of COVID-19 main protease (MPro) to find the best viral iinhibitor

description: Molecular docking study on the structure of COVID-19 main protease (MPro) to find the best viral iinhibitor
DOI: 10.6084/m9.figshare.12032595
title: CDH2 - Primers List

description: CDH2 - Primers list for 16 exons
DOI: 10.6084/m9.figshare.12032595.v1
title: CDH2 - Primers List

description: CDH2 - Primers list for 16 exons
DOI: 10.6084/m9.figshare.12032745.v10
title: Molecular docking study on the structure of COVID-19 main protease (MPro) to find the best viral iinhibitor

description: Molecular docking study on the structure of COVID-19 main protease (MPro) to find the best viral iinhibitor
DOI: 10.6084/m9.figshare.12032577
title: test_public.txt

description: data
DOI: 10.6084/m9.figshare.12032745.v11
title: Molecular docking study on the structure of COVID-19 main protease (MPro) to find the best viral iinhibitor

description: Molecular docking study on the structure of COVID-19 main protease (MPro) to find the best viral iinhibitor
DOI: 10.6084/m9.figshare.12032577.v1
title: test_public.txt

description: data
DOI: 10.6084/m9.figshare.12032745.v12
title: Molecular docking study on the structure of COVID-19 main protease (MPro) to find the best viral iinhibitor

description: Molecular docking study on the structure of COVID-19 main protease (MPro) to find the best viral iinhibitor
DOI: 10.6084/m9.figshare.12032745.v13
title: Molecular docking study on the structure of COVID-19 main protease (MPro) to find the best viral iinhibitor

description: This study shows best binding affinity against the COVID-19 Mpro. Best five MPro inhibitor compounds suggested for further study based on VINA docking results such as Raltegravir, Maraviroc, Nelfinavir, Tipranavir, and Fosamprenavir from the tested compounds.<br>Email ID: u105850009@kmu.edu.tw<br><br>ARULANANDAM, CHARLI DEEPAK (2020): Molecular docking study on the structure of COVID-19 main protease (MPro) to find the best viral iinhibitor. figshare. Dataset. https://doi.org/10.6084/m9.figshare.12032745.v13<br>
DOI: 10.6084/m9.figshare.12032745.v14
title: Molecular docking study on the structure of COVID-19 main protease (MPro) to find the best viral iinhibitor

description: This study shows best binding affinity against the main protease of COVID-19 virus. As per the docking results first five compounds as a MPro inhibitor, Raltegravir (-8.9), Nystatin (-8.7), Talniflumate (-8.7), Itraconazole (-8.4), and Maraviroc (-8.4) from the tested compounds.<br>Email ID: u105850009@kmu.edu.tw<br><br>ARULANANDAM, CHARLI DEEPAK (2020): Molecular docking study on the structure of COVID-19 main protease (MPro) to find the best viral iinhibitor. figshare. Dataset. https://doi.org/10.6084/m9.figshare.12032745.v13<br>
DOI: 10.6084/m9.figshare.12032745.v15
title: Molecular docking study on the structure of COVID-19 main protease (MPro) to find the best viral iinhibitor

description: This study shows best binding affinity against the main protease of COVID-19 virus. As per the docking results first five compounds as a MPro inhibitor, Raltegravir (-8.9), Nystatin (-8.7), Talniflumate (-8.7), Itraconazole (-8.4), and Maraviroc (-8.4) from the tested compounds.<br>Email ID: u105850009@kmu.edu.tw<br><br>ARULANANDAM, CHARLI DEEPAK (2020): Molecular docking study on the structure of COVID-19 main protease (MPro) to find the best viral iinhibitor. figshare. Dataset. https://doi.org/10.6084/m9.figshare.12032745.v13<br>
DOI: 10.6084/m9.figshare.12032745.v16
title: Molecular docking study on the structure of COVID-19 main protease (MPro) to find the best viral iinhibitor

description: This study shows best binding affinity against the main protease of COVID-19 virus. As per the docking results first five compounds as a MPro inhibitor, Raltegravir (-8.9), Nystatin (-8.7), Talniflumate (-8.7), Itraconazole (-8.4), and Maraviroc (-8.4) from the tested compounds.<br>Email ID: u105850009@kmu.edu.tw<br><br>ARULANANDAM, CHARLI DEEPAK (2020): Molecular docking study on the structure of COVID-19 main protease (MPro) to find the best viral iinhibitor. figshare. Dataset. https://doi.org/10.6084/m9.figshare.12032745.v13<br>
DOI: 10.6084/m9.figshare.12032415
title: Renal ischemia alters expression of mitochondria-related genes and impairs mitochondrial structure and function in swine scattered tubular-like cells

description: mRNAseq data
DOI: 10.6084/m9.figshare.12032415.v1
title: Renal ischemia alters expression of mitochondria-related genes and impairs mitochondrial structure and function in swine scattered tubular-like cells

description: mRNAseq data
DOI: 10.6084/m9.figshare.12032745.v17
title: Molecular docking study on the structure of COVID-19 main protease (MPro) to find the best viral iinhibitor

description: Docking study shows best binding affinity against the main protease of COVID-19 virus. As per the docking results top twelve compounds as a MPro inhibitor, Coumermycin A1 (-10.2), Trovafloxacin (-9.3), Aclarubicin (-9.0), Raltegravir (-8.9), Etoposide (-8.9), Epirubicin (-8.8), Nystatin (-8.7), Talniflumate (-8.7), Idarubicin (-8.5), Itraconazole (-8.4), Maraviroc (-8.4), and Nelfinavir (-8.3) from the tested compounds.<br>Email ID: u105850009@kmu.edu.tw<br><br>ARULANANDAM, CHARLI DEEPAK (2020): Molecular docking study on the structure of COVID-19 main protease (MPro) to find the best viral iinhibitor. figshare. Dataset. https://doi.org/10.6084/m9.figshare.12032745.v13<br>
DOI: 10.6084/m9.figshare.12032412
title: Data accesibility: Bird Friendly Wine Country Through Diversified Vineyards

description: Data accesibility: Bird Friendly Wine Country Through Diversified Vineyards
DOI: 10.6084/m9.figshare.12032412.v1
title: Data accesibility: Bird Friendly Wine Country Through Diversified Vineyards

description: Data accesibility: Bird Friendly Wine Country Through Diversified Vineyards
DOI: 10.6084/m9.figshare.12032745.v18
title: Molecular docking study on the structure of COVID-19 main protease (MPro) to find the best viral iinhibitor

description: Docking study shows best binding affinity against the main protease of COVID-19 virus. As per the docking results top twelve compounds as a MPro inhibitor, Coumermycin A1 (-10.2), Irinotecan (-9.4), Suramin (-9.4), Trovafloxacin (-9.3), Aclarubicin (-9.0), Dactinomycin (-9.0), Raltegravir (-8.9), Digoxin (-8.9), Etoposide (-8.9), Doxorubicin (-8.8), Venetoclax (-8.8) and Nystatin (-8.7) from the tested compounds.<br>Email ID: u105850009@kmu.edu.tw<br><br>ARULANANDAM, CHARLI DEEPAK (2020): Molecular docking study on the structure of COVID-19 main protease (MPro) to find the best viral iinhibitor. figshare. Dataset. https://doi.org/10.6084/m9.figshare.12032745.v13<br>
DOI: 10.6084/m9.figshare.12032745.v19
title: Molecular docking study on the structure of COVID-19 main protease (MPro) to find the best viral inhibitor

description: Docking study shows best binding affinity against the main protease of COVID-19. As per the docking results top twelve compounds as a MPro inhibitor, Coumermycin A1 (-10.2), Irinotecan (-9.4), Suramin (-9.4), Trovafloxacin (-9.3), Aclarubicin (-9.0), Dactinomycin (-9.0), Raltegravir (-8.9), Digoxin (-8.9), Etoposide (-8.9), Doxorubicin (-8.8), Venetoclax (-8.8) and Nystatin (-8.7) from the tested compounds.<br>Email ID: u105850009@kmu.edu.tw<br><br>ARULANANDAM, CHARLI DEEPAK (2020): Molecular docking study on the structure of COVID-19 main protease (MPro) to find the best viral iinhibitor. figshare. Dataset. https://doi.org/10.6084/m9.figshare.12032745.v13<br>
DOI: 10.6084/m9.figshare.12032745.v20
title: Molecular docking study on the structure of COVID-19 main protease (MPro) to find the best viral inhibitor

description: Docking study shows best binding affinity against the main protease of COVID-19. As per the docking results top twelve compounds as a MPro inhibitor, Coumermycin A1 (-10.2), Irinotecan (-9.4), Suramin (-9.4), Trovafloxacin (-9.3), Aclarubicin (-9.0), Dactinomycin (-9.0), TG-100801 (-9.0), Raltegravir (-8.9), Digoxin (-8.9), Etoposide (-8.9), Doxorubicin (-8.8), and Venetoclax (-8.8) from the tested compounds.<br>Email ID: u105850009@kmu.edu.tw<br><br>ARULANANDAM, CHARLI DEEPAK (2020): Molecular docking study on the structure of COVID-19 main protease (MPro) to find the best viral iinhibitor. figshare. Dataset. https://doi.org/10.6084/m9.figshare.12032745.v13<br>
DOI: 10.6084/m9.figshare.12032106
title: Data_Pakistan_GatesOpenResearch.xlsx

description: Immunization supply chain equity metrics for Pakistan
DOI: 10.6084/m9.figshare.12032745.v22
title: Molecular docking study on the structure of COVID-19 main protease (MPro) to find the best viral inhibitor

description: Docking study shows best binding affinity against the main protease of COVID-19. As per the docking results top twelve compounds as a MPro inhibitor, Coumermycin A1 (-10.2), Irinotecan (-9.4), Suramin (-9.4), Trovafloxacin (-9.3), Aclarubicin (-9.0), Dactinomycin (-9.0), TG-100801 (-9.0), Raltegravir (-8.9), Digoxin (-8.9), Etoposide (-8.9), Doxorubicin (-8.8), and Venetoclax (-8.8) from the tested compounds.<br>Email ID: u105850009@kmu.edu.tw<br><br>ARULANANDAM, CHARLI DEEPAK (2020): Molecular docking study on the structure of COVID-19 main protease (MPro) to find the best viral iinhibitor. figshare. Dataset. https://doi.org/10.6084/m9.figshare.12032745.v13<br>
DOI: 10.6084/m9.figshare.12032106.v1
title: Data_Pakistan_GatesOpenResearch.xlsx

description: Immunization supply chain equity metrics for Pakistan