cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7058198
title: Examining local and regional ecological connectivity throughout North America

description: Output from 12 Omniscape model runs using three resistance surfaces and four moving window sizes (Belote et al. 2022, Landscape Ecology). Resistance surfaces were created through alternative transformations (varying c) of the 2015 estimates of human modification from Theobald et al. (2020). The radius of the circular moving windows were 30-km, 150-km, 300-km, or 700-km. Descriptions of directories are in the csv file called “folder descriptions.” There are three outputs within each of the 12 folders: cum_currmap, flow_potential, and normalized_cum_currmap. These are, respectively: 1. Cumulative current flow: the total current flowing through the landscape – the result of the Omniscape algorithm described above.<br> 2. Flow potential (optional): current flow under "null" resistance conditions. Flow potential demonstrates what movement/flow would look like when movement is unconstrained by resistance and barriers. Flow potential is calculated exactly as cumulative current flow is, but with resistance set to 1 for the entire landscape.<br> 3. Normalized current flow (optional): calculated as cumulative current flow divided by flow potential. Normalized current helps identify areas where current is impeded or channelized (e.g. more or less current than expected under null resistance conditions). High values mean current flow is channelized, low values mean current is impeded. Descriptions of outputs above are quoted directly from https://docs.juliahub.com/Omniscape/uqaJf/0.4.3/. <br> References: Belote, RT, Barnett K, Zeller K, Brennan A, and Gage J (2022) Examining local and regional ecological connectivity throughout North America. Landscape Ecology Theobald DM, Kennedy C, Chen B, et al (2020) Earth transformed: Detailed mapping of global human modification from 1990 to 2017. Earth System Science Data 12:1953–1972. https://doi.org/10.5194/essd-12-1953-2020
DOI: 10.5281/zenodo.7493436
title: Examining local and regional ecological connectivity throughout North America

description: Output from 12 Omniscape model runs using three resistance surfaces and four moving window sizes (Belote et al. 2022, Landscape Ecology). Resistance surfaces were created through alternative transformations (varying c) of the 2015 estimates of human modification from Theobald et al. (2020). The radius of the circular moving windows were 30-km, 150-km, 300-km, or 700-km. Descriptions of directories are in the csv file called “folder descriptions.” There are three outputs within each of the 12 folders: cum_currmap, flow_potential, and normalized_cum_currmap. These are, respectively: 1. Cumulative current flow: the total current flowing through the landscape – the result of the Omniscape algorithm described above.<br> 2. Flow potential (optional): current flow under "null" resistance conditions. Flow potential demonstrates what movement/flow would look like when movement is unconstrained by resistance and barriers. Flow potential is calculated exactly as cumulative current flow is, but with resistance set to 1 for the entire landscape.<br> 3. Normalized current flow (optional): calculated as cumulative current flow divided by flow potential. Normalized current helps identify areas where current is impeded or channelized (e.g. more or less current than expected under null resistance conditions). High values mean current flow is channelized, low values mean current is impeded. Descriptions of outputs above are quoted directly from https://docs.juliahub.com/Omniscape/uqaJf/0.4.3/. <br> References: Belote, RT, Barnett K, Zeller K, Brennan A, and Gage J (2022) Examining local and regional ecological connectivity throughout North America. Landscape Ecology Theobald DM, Kennedy C, Chen B, et al (2020) Earth transformed: Detailed mapping of global human modification from 1990 to 2017. Earth System Science Data 12:1953–1972. https://doi.org/10.5194/essd-12-1953-2020
DOI: 10.5281/zenodo.7494722
title: Web Accessibility Evaluation Data - March to September 2021

description: This dataset contains the dump of a PostgreSQL database with the contents of automated web accessibility evaluation of nearly 3 million webpages obtained with QualWeb between March and September 2021.
DOI: 10.5281/zenodo.7494721
title: Web Accessibility Evaluation Data - March to September 2021

description: This dataset contains the dump of a PostgreSQL database with the contents of automated web accessibility evaluation of nearly 3 million webpages obtained with QualWeb between March and September 2021.
DOI: 10.34740/kaggle/dsv/4789575
title: COVID Vaccination in World (updated daily)
DOI: 10.6084/m9.figshare.21792668
title: Outbreak Timeliness Metrics Dataset.xlsx

description: A compendium for outbreaks and disasters
DOI: 10.6084/m9.figshare.21792668.v1
title: Outbreak Timeliness Metrics Dataset.xlsx

description: A compendium for outbreaks and disasters
DOI: 10.6084/m9.figshare.21792662
title: Hot pack blood flow - rare data

description: This data set is the change of blood flow assessed using venous occlusionin plethysmography in whole-body thermal therapy using hot packs and Waon therapy.
DOI: 10.6084/m9.figshare.21792662.v1
title: Hot pack blood flow - rare data

description: This data set is the change of blood flow assessed using venous occlusionin plethysmography in whole-body thermal therapy using hot packs and Waon therapy.
DOI: 10.5281/zenodo.7412718
title: 3D-EPI Blip-Up/Down Acquisition (BUDA) with CAIPI and Joint Hankel Structured Low-Rank Reconstruction for Rapid Distortion-Free High-Resolution T2* Mapping

description: 3D-BUDA data acquired from a 3T Siemens scanner and a 7T Siemens scanner
DOI: 10.5281/zenodo.7412717
title: 3D-EPI Blip-Up/Down Acquisition (BUDA) with CAIPI and Joint Hankel Structured Low-Rank Reconstruction for Rapid Distortion-Free High-Resolution T2* Mapping

description: 3D-BUDA data acquired from a 3T Siemens scanner and a 7T Siemens scanner
DOI: 10.5519/qd.4lejjmku
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.6084/m9.figshare.21711583
title: An expansion of phenotype: novel homozygous variant in the <i>MED17</i> identified in patients with progressive microcephaly and global developmental delay

description: Global developmental delay (GDD) is a lifelong disability that affects 1–3% of the population around the globe. It is phenotypically variable and highly heterogeneous in terms of the underlying genetics. Patients with GDD are intellectually disabled (ID) manifesting cognitive impairment and deficient adaptive behavior. Here, we investigated a two-looped consanguineous family segregating severe ID, seizure, and progressive microcephaly. Magnetic resonance imaging (MRI) of the brain showed mild brain atrophy and myelination defect. Whole exome sequencing (WES) was performed on the DNA samples of two patients and a novel homozygous missense variant (Chr11:g0.93528085; NM_004268.5_c.871T &gt; C; p. Trp291Gly) was identified in the MED17 gene. Sanger sequencing revealed that the identified variant is heterozygous in both parents and healthy siblings. This variant is conserved among different species, causes a non-conserved amino acid change, and is predicted deleterious by various in silico tools. The variant is not reported in population variant databases. MED17 (OMIM: 613668) encodes for the mediator of RNA polymerase II transcription complex subunit 17. Structure modeling of MED17 protein revealed that Trp291 is involved in different inter-helical interactions, providing structural stability. Replacement of Trp291Gly, a less hydrophobic amino acid loses the inter-helical interaction leading to a perturb variant of MED17 protein.
DOI: 10.6084/m9.figshare.21711583.v2
title: An expansion of phenotype: novel homozygous variant in the <i>MED17</i> identified in patients with progressive microcephaly and global developmental delay

description: Global developmental delay (GDD) is a lifelong disability that affects 1–3% of the population around the globe. It is phenotypically variable and highly heterogeneous in terms of the underlying genetics. Patients with GDD are intellectually disabled (ID) manifesting cognitive impairment and deficient adaptive behavior. Here, we investigated a two-looped consanguineous family segregating severe ID, seizure, and progressive microcephaly. Magnetic resonance imaging (MRI) of the brain showed mild brain atrophy and myelination defect. Whole exome sequencing (WES) was performed on the DNA samples of two patients and a novel homozygous missense variant (Chr11:g0.93528085; NM_004268.5_c.871T &gt; C; p. Trp291Gly) was identified in the MED17 gene. Sanger sequencing revealed that the identified variant is heterozygous in both parents and healthy siblings. This variant is conserved among different species, causes a non-conserved amino acid change, and is predicted deleterious by various in silico tools. The variant is not reported in population variant databases. MED17 (OMIM: 613668) encodes for the mediator of RNA polymerase II transcription complex subunit 17. Structure modeling of MED17 protein revealed that Trp291 is involved in different inter-helical interactions, providing structural stability. Replacement of Trp291Gly, a less hydrophobic amino acid loses the inter-helical interaction leading to a perturb variant of MED17 protein.
DOI: 10.6084/m9.figshare.19763044
title: Integrated modeling framework for sustainable agricultural intensification

description: Literature reviews focused on representing the most influential knowledge about agricultural interventions. We identify the most cited 50 publications and the most relevant 50 papers of the last 5 years using the methodology of Nagendra et al. (2018). <br> <br> Files include: <br> - References - Database - Methods <br>
DOI: 10.5281/zenodo.6781571
title: confer

description: congrass
DOI: 10.5281/zenodo.6781570
title: confer

description: congrass
DOI: 10.6084/m9.figshare.21792788
title: original dataset of BF-SIM

description: Raw data and reconstructed SR images of BF-SIM
DOI: 10.6084/m9.figshare.21792806
title: foRMAtion mentorship programme

description: Surveys and forms completed by students and mentors of the foRMAtion mentorship programme
DOI: 10.6084/m9.figshare.21792806.v1
title: foRMAtion mentorship programme

description: Surveys and forms completed by students and mentors of the foRMAtion mentorship programme
DOI: 10.6084/m9.figshare.21792854
title: Test example data of BF-SIM code

description: Example images of BF-SIM Matlab code
DOI: 10.5281/zenodo.7494952
title: alignment of homeodomains of transcription factors of the ANTP family

description: protein sequence alignement of HD domain used to build the tree concerning ANTP transcription factors provided in supplementary files.
DOI: 10.5281/zenodo.7494951
title: alignment of homeodomains of transcription factors of the ANTP family

description: protein sequence alignement of HD domain used to build the tree concerning ANTP transcription factors provided in supplementary files.
DOI: 10.5281/zenodo.7494981
title: GEN_example

description: This is an example data of the GEN combined dataset.
DOI: 10.5281/zenodo.7494980
title: GEN_example

description: This is an example data of the GEN combined dataset.
DOI: 10.5281/zenodo.7494894
title: "Opracowanie innowacyjnego suplementu diety obniżającego ryzyko zachorowania na miażdżycę"

description: "Opracowanie innowacyjnego suplementu diety obniżającego ryzyko zachorowania na miażdżycę" Projekt polega na przeprowadzeniu prac B+R mających na celu opracowanie innowacyjnego suplementu diety działającego prewencyjnie na występowanie jednej z głównych chorób cywilizacyjnych – miażdżycy. Jest to przewlekła choroba tętnic, która charakteryzuje się ogniskowym gromadzeniem w ścianach naczyń m.in. cholesterolu i powoduje uszkodzenie tętnic. Załączony zbiór danych przedstawia wyniki badań przemysłowych i prac rozwojowych osiągniętych w ramach realizowanego projektu.
description: Dofinansowanie projektu w ramach Regionalnego Programu Operacyjnego Województwa Dolnośląskiego 2014-2020 współfinansowany ze środków Unii Europejskiej i Europejskiego Funduszu Rozwoju Regionalnego. Umowa dofinansowanie nr: RPDS.01.02.01-02-0081/17-00 Beneficjent: Inacelis Sp. z o.o. ul. marsz. J. Piłsudskiego 74/320, 50-020 Wrocław NIP 8971840327 REGON 367359952 KRS 0000680091
DOI: 10.5281/zenodo.7494893
title: "Opracowanie innowacyjnego suplementu diety obniżającego ryzyko zachorowania na miażdżycę"

description: "Opracowanie innowacyjnego suplementu diety obniżającego ryzyko zachorowania na miażdżycę" Projekt polega na przeprowadzeniu prac B+R mających na celu opracowanie innowacyjnego suplementu diety działającego prewencyjnie na występowanie jednej z głównych chorób cywilizacyjnych – miażdżycy. Jest to przewlekła choroba tętnic, która charakteryzuje się ogniskowym gromadzeniem w ścianach naczyń m.in. cholesterolu i powoduje uszkodzenie tętnic. Załączony zbiór danych przedstawia wyniki badań przemysłowych i prac rozwojowych osiągniętych w ramach realizowanego projektu.
description: Dofinansowanie projektu w ramach Regionalnego Programu Operacyjnego Województwa Dolnośląskiego 2014-2020 współfinansowany ze środków Unii Europejskiej i Europejskiego Funduszu Rozwoju Regionalnego. Umowa dofinansowanie nr: RPDS.01.02.01-02-0081/17-00 Beneficjent: Inacelis Sp. z o.o. ul. marsz. J. Piłsudskiego 74/320, 50-020 Wrocław NIP 8971840327 REGON 367359952 KRS 0000680091
DOI: 10.5281/zenodo.3908786
title: BS Filled Total Column Ozone Database V3.4.1

description: Version 3.4.1 of the BS <strong>Filled</strong> Total Column Ozone (TCO) database provides an extension in time of the BS Filled TCO database v3.4. Please refer to version 3.4. (doi:10.5281/zenodo.3908787) for details on the creation of the database. <strong>Please note: </strong>For the reasons detailed in this document, versions 3.5.x of the BS Filled TCO<br> database and of the NIWA-BS TCO database should not be used henceforth for trend analysis and, as such, we have updated the version 3.4 of BS Filled TCO database to the end of 2019 (now referred to as version 3.4.1 of the database) as a replacement. You can also access the unfilled version of this database at doi:10.5281/zenodo.7447660. <strong>Please email greg@bodekerscientific.com and let us know which data set you downloaded and what your intended purpose for the use of the data is. You will then receive updates if an improved version becomes available. </strong> <br> <pre> </pre>
description: {"references": ["Bodeker, G. E., Nitzbon, J., Tradowsky, J. S., Kremser, S., Schwertheim, A., and Lewis, J.: A global total column ozone climate data record, Earth Syst. Sci. Data, 13, 3885\u20133906, https://doi.org/10.5194/essd-13-3885-2021, 2021."]}
DOI: 10.5281/zenodo.4535247
title: BS Filled Total Column Ozone Database V3.5.1

description: The BS Filled Total Column Ozone (TCO) database version 3.5.1 provides a gap-free extension of the NIWA-BS Total Column Ozone database version 3.5.1 (doi:10.5281/zenodo.4535293) which combines TCO data from multiple satellite-based instruments to create a single near-global daily time series of ozone fields at 1.25° longitude by 1° latitude spanning the period 31 October 1978 to 31 December 2019. The construction of NIWA-BS TCO was initially maintained by the National Institute of Water and Atmospheric Research (NIWA) and now by Bodeker Scientific (BS). The latter also developed the BS Filled TCO database published here. While the BS Filled TCO database has the same resolution and covers the same period as NIWA-BS TCO, any missing data have been filled using a machine learning-based method that regresses the NIWA-BS TCO database against NCEP CFSR reanalysis tropopause height fields and potential vorticity (PV) fields on the 550 K surface. Uncertainties in the filled TCO fields are provided on every datum and these uncertainties reflect the data availability, i.e. the uncertainty is smaller where measurements are available compared to regions where filling of the data was required. <strong>Please note: For the reasons detailed in this document, versions 3.5.x of the BS Filled TCO<br> database and of the NIWA-BS TCO database should not be used henceforth for trend analysis and, as such, we have updated the version 3.4 of NIWA-BS Combined TCO database to the end of 2019 (now referred to as version 3.4.1 of the database) as a replacement. You will find a link to version 3.4.1 under the link provided above.</strong> The data are available in daily, monthly or annual resolution. Please note the following for the data in annual resolution: There have to be at least 12 valid monthly values within a year to calculate a valid annual mean. Therefore, no annual mean is available for the year 1978 as the record only starts on 31 October 1978. <strong>Please email greg@bodekerscientific.com and let us know which data set you downloaded and what your intended purpose for the use of the data is. You will then receive updates if an improved version becomes available. </strong> <br> <pre> </pre>
DOI: 10.5281/zenodo.6270508
title: BS Filled Total Column Ozone Database V3.5.2

description: Version 3.5.2 of the BS <strong>Filled</strong> Total Column Ozone (TCO) database provides a correction to version 3.5.1 of the same database – for reasons that we won’t go into, from 1984 to 1992, the filling over the polar cap was absent on around 1 day in 7. Version 3.5.2 and 3.5.1 of the filled database are otherwise identical. Please refer to version 3.5.1 (https://doi.org/10.5281/zenodo.4535247) for details on the creation of the database. <strong>Please note: For the reasons detailed in this document, versions 3.5.x of the BS Filled TCO<br> database and of the NIWA-BS TCO database should not be used henceforth for trend analysis and, as such, we have updated the version 3.4 of NIWA-BS Combined TCO database to the end of 2019 (now referred to as version 3.4.1 of the database) as a replacement. You will find a link to version 3.4.1 under the link provided above.</strong> <strong>Please email greg@bodekerscientific.com and let us know which data set you downloaded and what your intended purpose for the use of the data is. You will then receive updates if an improved version becomes available. </strong> <br> <pre> </pre>
description: {"references": ["Bodeker, G. E., Nitzbon, J., Tradowsky, J. S., Kremser, S., Schwertheim, A., and Lewis, J.: A global total column ozone climate data record, Earth Syst. Sci. Data, 13, 3885\u20133906, https://doi.org/10.5194/essd-13-3885-2021, 2021."]}
DOI: 10.34740/kaggle/dsv/4790034
title: Mahanagar Yatayat Dataset
DOI: 10.6084/m9.figshare.21791306
title: Home-field advantage affects the local adaptive interaction between Andropogon gerardii ecotypes and rhizobiome

description: Due to climate change, drought frequencies and severities are predicted to increase across the United States. Plant responses and adaptation to environmental stress depend on plant genetic and environmental factors. Understanding the effect of those factors on plant performance is required to predict the response of species to the environmental change. We used reciprocal gardens planted with dry, mesic and wet regional ecotypes of <em>Andropogon gerardii</em> to characterize the rhizosphere communities using 16S rRNA metabarcode sequencing. Even though the local microbial pool was the main driver of the rhizosphere microbial communities, the significant ecotypic effect highlighted the active plant recruitment driven by genetic variations. We also found that ecotypes do better in the recruitment of microbes when planted at homesite, supporting the “home field advantage” hypothesis. At homesites, ecotypes were more successful at recruiting rhizosphere community members unique to the locations - microbial specialists that potentially linked the plant stress response functions. In addition, we found the support for ecotypic variations in recruitment of bacterial stains from the same genera, highlighting the effect of the plant on the rhizosphere microbiome recruitment. The results of this study should facilitate expanded studies on understanding the complexity of relationships between plant host interactions with local soil microbes and identification of functional potential of recruited microbes. Our study has the potential for further predicting ecosystem responses to climate change and the impact of management on restoration practices.
DOI: 10.6084/m9.figshare.21791306.v1
title: Home-field advantage affects the local adaptive interaction between Andropogon gerardii ecotypes and rhizobiome

description: Due to climate change, drought frequencies and severities are predicted to increase across the United States. Plant responses and adaptation to environmental stress depend on plant genetic and environmental factors. Understanding the effect of those factors on plant performance is required to predict the response of species to the environmental change. We used reciprocal gardens planted with dry, mesic and wet regional ecotypes of <em>Andropogon gerardii</em> to characterize the rhizosphere communities using 16S rRNA metabarcode sequencing. Even though the local microbial pool was the main driver of the rhizosphere microbial communities, the significant ecotypic effect highlighted the active plant recruitment driven by genetic variations. We also found that ecotypes do better in the recruitment of microbes when planted at homesite, supporting the “home field advantage” hypothesis. At homesites, ecotypes were more successful at recruiting rhizosphere community members unique to the locations - microbial specialists that potentially linked the plant stress response functions. In addition, we found the support for ecotypic variations in recruitment of bacterial stains from the same genera, highlighting the effect of the plant on the rhizosphere microbiome recruitment. The results of this study should facilitate expanded studies on understanding the complexity of relationships between plant host interactions with local soil microbes and identification of functional potential of recruited microbes. Our study has the potential for further predicting ecosystem responses to climate change and the impact of management on restoration practices.
DOI: 10.6084/m9.figshare.21793037
title: Feasibility and Utility of Point-of-Care Electronic Clinical Data Capture in Uganda’s Healthcare System - Background Characteristics of the Participants

description: The dataset of background characteristics of the participants in the study that produced the article titled "Feasibility and Utility of Point-of-Care Electronic Clinical Data Capture in Uganda’s Healthcare System"
DOI: 10.6084/m9.figshare.21793037.v2
title: Feasibility and Utility of Point-of-Care Electronic Clinical Data Capture in Uganda’s Healthcare System - Background Characteristics of the Participants

description: The dataset of background characteristics of the participants in the study that produced the article titled "Feasibility and Utility of Point-of-Care Electronic Clinical Data Capture in Uganda’s Healthcare System"
DOI: 10.6084/m9.figshare.21793037.v1
title: Feasibility and Utility of Point-of-Care Electronic Clinical Data Capture in Uganda’s Healthcare System: A Qualitative Study

description: The dataset of background characteristics of the participants in the study that produced the article titled "Feasibility and Utility of Point-of-Care Electronic Clinical Data Capture in Uganda’s Healthcare System"