cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.16438068
title: Supplementary Material for: Synbindin Downregulation Participates in Slit Diaphragm Dysfunction

description: <b><i>Introduction:</i></b> Synbindin, originally identified as a neuronal cytoplasmic molecule, was found in glomeruli. The cDNA subtractive hybridization technique showed the mRNA expression of synbindin in glomeruli was downregulated in puromycin aminonucleoside (PAN) nephropathy, a mimic of minimal-change nephrotic syndrome. <b><i>Methods:</i></b> The expression of synbindin in podocytes was analyzed in normal rats and 2 types of rat nephrotic models, anti-nephrin antibody-induced nephropathy, a pure slit diaphragm injury model, and PAN nephropathy, by immunohistochemical analysis and RT-PCR techniques. To elucidate the function of synbindin, a gene silencing study with human cultured podocytes was performed. <b><i>Results:</i></b> Synbindin was mainly expressed at the slit diaphragm area of glomerular epithelial cells (podocytes). In both nephrotic models, decreased mRNA expression and the altered staining of synbindin were already detected at the early phase when proteinuria and the altered staining of nephrin, a key molecule of slit diaphragm, were not detected yet. Synbindin staining was clearly reduced when severe proteinuria was observed. When the cultured podocytes were treated with siRNA for synbindin, the cell changed to a round shape, and filamentous actin structure was clearly altered. The expression of ephrin-B1, a transmembrane protein at slit diaphragm, was clearly lowered, and synaptic vesicle-associated protein 2B (SV2B) was upregulated in the synbindin knockdown cells. <b><i>Conclusion:</i></b> Synbindin participates in maintaining foot processes and slit diaphragm as a downstream molecule of SV2B-mediated vesicle transport. Synbindin downregulation participates in slit diaphragm dysfunction. Synbindin can be an early marker to detect podocyte injury.
DOI: 10.6084/m9.figshare.16438068.v1
title: Supplementary Material for: Synbindin Downregulation Participates in Slit Diaphragm Dysfunction

description: <b><i>Introduction:</i></b> Synbindin, originally identified as a neuronal cytoplasmic molecule, was found in glomeruli. The cDNA subtractive hybridization technique showed the mRNA expression of synbindin in glomeruli was downregulated in puromycin aminonucleoside (PAN) nephropathy, a mimic of minimal-change nephrotic syndrome. <b><i>Methods:</i></b> The expression of synbindin in podocytes was analyzed in normal rats and 2 types of rat nephrotic models, anti-nephrin antibody-induced nephropathy, a pure slit diaphragm injury model, and PAN nephropathy, by immunohistochemical analysis and RT-PCR techniques. To elucidate the function of synbindin, a gene silencing study with human cultured podocytes was performed. <b><i>Results:</i></b> Synbindin was mainly expressed at the slit diaphragm area of glomerular epithelial cells (podocytes). In both nephrotic models, decreased mRNA expression and the altered staining of synbindin were already detected at the early phase when proteinuria and the altered staining of nephrin, a key molecule of slit diaphragm, were not detected yet. Synbindin staining was clearly reduced when severe proteinuria was observed. When the cultured podocytes were treated with siRNA for synbindin, the cell changed to a round shape, and filamentous actin structure was clearly altered. The expression of ephrin-B1, a transmembrane protein at slit diaphragm, was clearly lowered, and synaptic vesicle-associated protein 2B (SV2B) was upregulated in the synbindin knockdown cells. <b><i>Conclusion:</i></b> Synbindin participates in maintaining foot processes and slit diaphragm as a downstream molecule of SV2B-mediated vesicle transport. Synbindin downregulation participates in slit diaphragm dysfunction. Synbindin can be an early marker to detect podocyte injury.
DOI: 10.18112/openneuro.ds003775.v1.0.0
title: SRM Resting-state EEG
DOI: 10.5281/zenodo.5256170
title: Doxocopa laurentia SPAdes preassembly

description: .
DOI: 10.5281/zenodo.5256169
title: Doxocopa laurentia SPAdes preassembly

description: .
DOI: 10.5281/zenodo.5256068
title: Data extracted from APSIM simulations for Sorghum

description: The data are supplemental material for paper entitled APSIM-powered framework for effective post-rainy sorghum agri-system design in India. The APSIM sorghum model was run using environmental data spanning 30 years with a total of 13,824 Genotype × Management combinations per grid. To cover the Indian rabi sorghum production tract 311 grid items were used resulting in a total of 4299264 simulations. The computation took approximately 14 days including several downtime periods and generated 14.6 TB of output data. APSIM natively generates the data in raw text format, therefore for follow-up processing it was necessary to conduct extraction and parsing of relevant pieces of information. For the purposes of extraction and transformation into .csv file format a program was written in C# language to select only the relevant data.
DOI: 10.5281/zenodo.5256067
title: Data extracted from APSIM simulations for Sorghum

description: The data are supplemental material for paper entitled APSIM-powered framework for effective post-rainy sorghum agri-system design in India. The APSIM sorghum model was run using environmental data spanning 30 years with a total of 13,824 Genotype × Management combinations per grid. To cover the Indian rabi sorghum production tract 311 grid items were used resulting in a total of 4299264 simulations. The computation took approximately 14 days including several downtime periods and generated 14.6 TB of output data. APSIM natively generates the data in raw text format, therefore for follow-up processing it was necessary to conduct extraction and parsing of relevant pieces of information. For the purposes of extraction and transformation into .csv file format a program was written in C# language to select only the relevant data.
DOI: 10.34740/kaggle/dsv/2557504
title: 2021 World Population (updated daily)
DOI: 10.6084/m9.figshare.14602492
title: Systems Object Framework: a framework for describing students’ depiction of object organisation within systems

description: Developing students’ ability to think about systems, as opposed to isolated facts, is of central importance in much of science teaching. Prior work in this area has focused on students’ recognition of the processes occurring within a system. Comparatively, little work has been done on how students organise the objects that are contained within the system. Understanding how objects are organised within a system structure can promote understanding of the processes relating to the objects and advance students’ thinking about systems. A systematic literature review revealed different existing theoretical perspectives on object arrangement within systems. These perspectives were combined into a single framework, the Systems Object Framework (SOF), that can be used to characterise student ideas about object arrangements. The SOF was used to analyse object arrangements depicted by students in pre and post-concept maps that were collected as part of a study on a systems-based curriculum. This analysis provided support for the structure of the SOF and showed that the SOF allows for tracking of changes in students’ representation of object arrangements. The SOF contributes to the field by proposing new questions to be investigated and providing a common analytical tool that permits greater consistency across future studies.
DOI: 10.6084/m9.figshare.14658499
title: Assessing quantitative modelling practices, metamodelling, and capability confidence of biology undergraduate students

description: Quantitative modelling plays an important role as biology increasingly deals with big data sets, relies on modelling to understand system dynamics, makes predictions about impacts of changes, and revises our understanding of system interactions. An assessment of quantitative modelling in biology was administered to students (<i>n </i>= 612) in undergraduate biology courses at two universities to provide a picture of student ability in quantitative reasoning within biology and to determine how capable those students felt about this ability. A Rasch analysis was used to construct linear measures and provide validity evidence for the assessment and to examine item statistics on the same scale as student ability measures. Students overall had greater ability in quantitative literacy than in quantitative interpretation of models or modelling. There was no effect of class standing (Freshmen, Sophomore, etc.) on student performance. The assessment showed that students who participated felt confidence in their ability to quantitatively model biological phenomena, even while their performance on ability questions were low. Collectively modelling practices were correlated with students’ metamodelling knowledge and not correlated with students’ modelling capability confidence. Biology instructors who incorporate the process of modelling into their courses may see improved abilities of students to perform on quantitative modelling tasks.
DOI: 10.6084/m9.figshare.14602492.v1
title: Systems Object Framework: a framework for describing students’ depiction of object organisation within systems

description: Developing students’ ability to think about systems, as opposed to isolated facts, is of central importance in much of science teaching. Prior work in this area has focused on students’ recognition of the processes occurring within a system. Comparatively, little work has been done on how students organise the objects that are contained within the system. Understanding how objects are organised within a system structure can promote understanding of the processes relating to the objects and advance students’ thinking about systems. A systematic literature review revealed different existing theoretical perspectives on object arrangement within systems. These perspectives were combined into a single framework, the Systems Object Framework (SOF), that can be used to characterise student ideas about object arrangements. The SOF was used to analyse object arrangements depicted by students in pre and post-concept maps that were collected as part of a study on a systems-based curriculum. This analysis provided support for the structure of the SOF and showed that the SOF allows for tracking of changes in students’ representation of object arrangements. The SOF contributes to the field by proposing new questions to be investigated and providing a common analytical tool that permits greater consistency across future studies.
DOI: 10.6084/m9.figshare.14658499.v1
title: Assessing quantitative modelling practices, metamodelling, and capability confidence of biology undergraduate students

description: Quantitative modelling plays an important role as biology increasingly deals with big data sets, relies on modelling to understand system dynamics, makes predictions about impacts of changes, and revises our understanding of system interactions. An assessment of quantitative modelling in biology was administered to students (<i>n </i>= 612) in undergraduate biology courses at two universities to provide a picture of student ability in quantitative reasoning within biology and to determine how capable those students felt about this ability. A Rasch analysis was used to construct linear measures and provide validity evidence for the assessment and to examine item statistics on the same scale as student ability measures. Students overall had greater ability in quantitative literacy than in quantitative interpretation of models or modelling. There was no effect of class standing (Freshmen, Sophomore, etc.) on student performance. The assessment showed that students who participated felt confidence in their ability to quantitatively model biological phenomena, even while their performance on ability questions were low. Collectively modelling practices were correlated with students’ metamodelling knowledge and not correlated with students’ modelling capability confidence. Biology instructors who incorporate the process of modelling into their courses may see improved abilities of students to perform on quantitative modelling tasks.
DOI: 10.6084/m9.figshare.14995314.v11
title: Effect of behavioural sampling methods on local and global social network metrics: A case-study of three macaque species

description: Data set and R-codes
DOI: 10.34740/kaggle/dsv/2557532
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.5281/zenodo.5248688
title: The Hills of Governor's Island Dataset for GRASS GIS

description: <strong>The Hills of Governor's Island Dataset for GRASS GIS</strong><br> This geospatial dataset contains raster and vector data for the Hills region of Governor's Island, New York City, USA. The top level directory <em>governors_island_hills_for_grass</em> is a GRASS GIS location for <em>NAD_1983_StatePlane_New_York_Long_Island_FIPS_3104_Feet </em>in US Surveyor's Feet with EPSG code 2263. Inside the location there is the <em>PERMANENT</em> mapset, a license file, data record, readme file, workspace, color table, category rules, and scripts for data processing. This dataset was created for the course GIS for Designers. <strong>Instructions</strong><br> Install GRASS GIS, unzip this archive, and move the location into your GRASS GIS database<br> directory. If you are new to GRASS GIS read the first time users guide. <strong>Data Sources</strong> https://orthos.dhses.ny.gov/ https://data.cityofnewyork.us/ <strong>Maps</strong> Orthophotographs from 2012, 2014, 2016, 2018, and 2020 Digital elevation model from 2017 Digital surface models from 2014 and 2017 Landcover from 2014 <strong>License</strong><br> This dataset is licensed under the ODC Public Domain Dedication and License 1.0 (PDDL) by Brendan Harmon.
DOI: 10.5281/zenodo.5248419
title: Governor's Island Dataset for GRASS GIS

description: <strong>Governor's Island Dataset for GRASS GIS</strong><br> This geospatial dataset contains raster and vector data for Governor's Island, New York City, USA. The top level directory <em>governors_island_for_grass</em> is a GRASS GIS location for <em>NAD_1983_StatePlane_New_York_Long_Island_FIPS_3104_Feet </em>in US Surveyor's Feet with EPSG code 2263. Inside the location there is the <em>PERMANENT</em> mapset, a license file, data record, readme file, workspace, color table, category rules, and scripts for data processing. This dataset was created for the course GIS for Designers. <strong>Instructions</strong><br> Install GRASS GIS, unzip this archive, and move the location into your GRASS GIS database<br> directory. If you are new to GRASS GIS read the first time users guide. <strong>Data Sources</strong> https://orthos.dhses.ny.gov/ https://data.cityofnewyork.us/ <strong>Maps</strong> Orthophotographs from 2012, 2014, 2016, 2018, and 2020 Digital elevation model from 2017 Digital surface models from 2014 and 2017 Landcover from 2014 <strong>License</strong><br> This dataset is licensed under the ODC Public Domain Dedication and License 1.0 (PDDL) by Brendan Harmon.
DOI: 10.5281/zenodo.5248687
title: The Hills of Governor's Island Dataset for GRASS GIS

description: <strong>The Hills of Governor's Island Dataset for GRASS GIS</strong><br> This geospatial dataset contains raster and vector data for the Hills region of Governor's Island, New York City, USA. The top level directory <em>governors_island_hills_for_grass</em> is a GRASS GIS location for <em>NAD_1983_StatePlane_New_York_Long_Island_FIPS_3104_Feet </em>in US Surveyor's Feet with EPSG code 2263. Inside the location there is the <em>PERMANENT</em> mapset, a license file, data record, readme file, workspace, color table, category rules, and scripts for data processing. This dataset was created for the course GIS for Designers. <strong>Instructions</strong><br> Install GRASS GIS, unzip this archive, and move the location into your GRASS GIS database<br> directory. If you are new to GRASS GIS read the first time users guide. <strong>Data Sources</strong> https://orthos.dhses.ny.gov/ https://data.cityofnewyork.us/ <strong>Maps</strong> Orthophotographs from 2012, 2014, 2016, 2018, and 2020 Digital elevation model from 2017 Digital surface models from 2014 and 2017 Landcover from 2014 <strong>License</strong><br> This dataset is licensed under the ODC Public Domain Dedication and License 1.0 (PDDL) by Brendan Harmon.
DOI: 10.5281/zenodo.3940779
title: Governor's Island Dataset for GRASS GIS

description: <strong>Governor's Island Dataset for GRASS GIS</strong><br> This geospatial dataset contains raster and vector data for Governor's Island, New York City, USA. The top level directory <em>governors_island_for_grass</em> is a GRASS GIS location for <em>NAD_1983_StatePlane_New_York_Long_Island_FIPS_3104_Feet </em>in US Surveyor's Feet with EPSG code 2263. Inside the location there is the <em>PERMANENT</em> mapset, a license file, data record, readme file, workspace, color table, category rules, and scripts for data processing. This dataset was created for the course GIS for Designers. <strong>Instructions</strong><br> Install GRASS GIS, unzip this archive, and move the location into your GRASS GIS database<br> directory. If you are new to GRASS GIS read the first time users guide. <strong>Data Sources</strong> https://orthos.dhses.ny.gov/ https://data.cityofnewyork.us/ <strong>Maps</strong> Orthophotographs from 2012, 2014, 2016, 2018, and 2020 Digital elevation model from 2017 Digital surface models from 2014 and 2017 Landcover from 2014 <strong>License</strong><br> This dataset is licensed under the ODC Public Domain Dedication and License 1.0 (PDDL) by Brendan Harmon.
DOI: 10.5281/zenodo.4715751
title: Continous, multi-scale slope measurements in a terrain derived stream network for Fenoscandia (Norway, Sweden, Finland)

description: A continous, multiscale stream steepness raster dataset produced for the INVAFISH project (Norges forskningsråd 243910) with the following script: connectivity.py It covers Norway, Sweden and Finland. The stream network has been derived with the GRASS GIS r.stream.extract module from a 10m digital elevation model (DEM). Slope has been calculated with r.slope.direction module at 10, 30, 50, 70, 110, and 150 m steps following the direction of the stream network. Resolution of the raster data follows the pixels of the underlying 10m DEM. Raster values represent slope in degree * 100, so for example a value of 732 refers to 7.32 degree in slope. Negative slope values indicated artifacts in the underlying DEM and occure where the r.stream.extract module had to hydrologically enforce overland flow through pits or over ridges. Data format is LZW-compressed GeoTiff in EPSG: 25833 coordinate system.
description: Financed by the Norwegian Research Council grant number 243910
DOI: 10.5281/zenodo.4715750
title: Continous, multi-scale slope measurements in a terrain derived stream network for Fenoscandia (Norway, Sweden, Finland)

description: A continous, multiscale stream steepness raster dataset produced for the INVAFISH project (Norges forskningsråd 243910) with the following script: connectivity.py It covers Norway, Sweden and Finland. The stream network has been derived with the GRASS GIS r.stream.extract module from a 10m digital elevation model (DEM). Slope has been calculated with r.slope.direction module at 10, 30, 50, 70, 110, and 150 m steps following the direction of the stream network. Resolution of the raster data follows the pixels of the underlying 10m DEM. Raster values represent slope in degree * 100, so for example a value of 732 refers to 7.32 degree in slope. Negative slope values indicated artifacts in the underlying DEM and occure where the r.stream.extract module had to hydrologically enforce overland flow through pits or over ridges. Data format is LZW-compressed GeoTiff in EPSG: 25833 coordinate system.
description: Financed by the Norwegian Research Council grant number 243910
DOI: 10.7910/dvn/0ihbch
title: Education World

description: The dataset read-only property of the HTMLElement interface provides read/write access to custom data attributes (data-*) on elements. It exposes a map of strings (DOMStringMap) with an entry for each data-* attribute.
DOI: 10.6084/m9.figshare.13911323
title: Contextualizing small towns – trends of demographic spatial development in Germany 1961–2018

description: For the past ten years, the growth debate has been urban-centric, at least in Germany, while rural areas have been largely associated with depopulation. Despite their importance, small towns fall into a systematic perception gap in scientific and planning discourses. Against this background, this paper applies a threefold conceptualization of scalar relations paying analytical attention to (1) population trajectories, (2) the relation of spatial proximity and development, and (3) the influence of international migration on population development. Covering the period 1961–2018, this paper shows that despite a current demographic respite due to increased international migration, many small towns will continue to face the long-term consequences of population decline. This is accompanied by an increasing spatial differentiation of population growth rates. The relation between proximity to large centres and population growth is weakening, giving rise to other factors, e.g. residential amenities and competition between small and medium-sized towns. Based on this quantitative assessment, we conclude that small towns are the most dynamic settlement type in Germany and, at the same time, extremely heterogeneous in terms of trajectories and underlying driving factors. We also discuss conceptual aspects regarding process-understanding, terms, categories, and tools to analytically grasp the complexity of small towns.
DOI: 10.6084/m9.figshare.13911323.v3
title: Contextualizing small towns – trends of demographic spatial development in Germany 1961–2018

description: For the past ten years, the growth debate has been urban-centric, at least in Germany, while rural areas have been largely associated with depopulation. Despite their importance, small towns fall into a systematic perception gap in scientific and planning discourses. Against this background, this paper applies a threefold conceptualization of scalar relations paying analytical attention to (1) population trajectories, (2) the relation of spatial proximity and development, and (3) the influence of international migration on population development. Covering the period 1961–2018, this paper shows that despite a current demographic respite due to increased international migration, many small towns will continue to face the long-term consequences of population decline. This is accompanied by an increasing spatial differentiation of population growth rates. The relation between proximity to large centres and population growth is weakening, giving rise to other factors, e.g. residential amenities and competition between small and medium-sized towns. Based on this quantitative assessment, we conclude that small towns are the most dynamic settlement type in Germany and, at the same time, extremely heterogeneous in terms of trajectories and underlying driving factors. We also discuss conceptual aspects regarding process-understanding, terms, categories, and tools to analytically grasp the complexity of small towns.