cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21942/uva.13713064
title: Map package (ArcGIS Pro version) with geomorphological and geographical datasets used to generate maps for Au West study area in Vorarlberg, Austria

description: For complete collection of data and models, see https://doi.org/10.21942/uva.c.5290546.Map package for use in ArcGIS Pro containing three-tiered geomorphological data and geographical datasets such as rivers, roads and hillshading. Datasets were used to generate figures for publication: Hierarchical geomorphological mapping in mountainous areas. Matheus G.G. De Jong, Henk Pieter Sterk, Stacy Shinneman & Arie C. Seijmonsbergen. Submitted to Journal of Maps 2020, revisions made in 2021. All data is in MGI Austria GK West projected coordinate system (EPSG: 31254) and was clipped to the study area.
DOI: 10.21942/uva.13713064.v8
title: Map package (ArcGIS Pro version) with geomorphological and geographical datasets used to generate maps for Au West study area in Vorarlberg, Austria

description: Map package for use in ArcGIS Pro containing three-tiered geomorphological data and geographical datasets such as rivers, roads and hillshading. Datasets were used to generate figures for publication: Hierarchical geomorphological mapping in mountainous areas. Matheus G.G. De Jong, Henk Pieter Sterk, Stacy Shinneman & Arie C. Seijmonsbergen. Submitted to Journal of Maps 2020, revisions made in 2021. All data is in MGI Austria GK West projected coordinate system (EPSG: 31254) and was clipped to the study area.
DOI: 10.21942/uva.13704643
title: Symbology layer files developed in ArcMap and ArcGIS Pro for the purpose of visualizing geomorphological codes using predefined color palettes

description: For complete collection of data and models, see https://doi.org/10.21942/uva.c.5290546.Supplemental material for: Hierarchical geomorphological mapping in mountainous areas, Matheus G.G. De Jong, Henk Pieter Sterk, Stacy Shinneman & Arie C. Seijmonsbergen. Submitted to Journal of Maps in 2020, revisions made in 2021.These layer files will produce the complete geomorphological legend, even when all geomorphological units are not present in the dataset. When visualizing results, we recommend the following optimal scale ranges: 1:2,500 - 1:10,000 for Tier 3, 1:10,001 to 1:30,000 for Tier 2 and ≥ 1:30,001 for Tier 1.The complete set of layer files ("Geomorphological Map Vorarlberg - Tier 1", "Geomorphological Map Vorarlberg - Tier 2" and "Geomorphological Map Vorarlberg - Tier 3") are intended to visualize output of a model that creates tiers (columns) of geomorphological features (Tier 1, Tier 2 and Tier 3) in the landscape of Vorarlberg, Austria, each with an increasing level of detail.
DOI: 10.21942/uva.13704643.v5
title: Symbology layer files developed in ArcMap and ArcGIS Pro for the purpose of visualizing geomorphological codes using predefined color palettes

description: Supplemental material for: Hierarchical geomorphological mapping in mountainous areas, Matheus G.G. De Jong, Henk Pieter Sterk, Stacy Shinneman & Arie C. Seijmonsbergen. Submitted to Journal of Maps in 2020, revisions made in 2021.These layer files will produce the complete geomorphological legend, even when all geomorphological units are not present in the dataset. When visualizing results, we recommend the following optimal scale ranges: 1:2,500 - 1:10,000 for Tier 3, 1:10,001 to 1:30,000 for Tier 2 and ≥ 1:30,001 for Tier 1.The complete set of layer files ("Geomorphological Map Vorarlberg - Tier 1", "Geomorphological Map Vorarlberg - Tier 2" and "Geomorphological Map Vorarlberg - Tier 3") are intended to visualize output of a model that creates tiers (columns) of geomorphological features (Tier 1, Tier 2 and Tier 3) in the landscape of Vorarlberg, Austria, each with an increasing level of detail.
DOI: 10.21942/uva.13693702.v20
title: Geomorphology model (ArcGIS Pro version), input datasets and legend symbology files

description: For complete collection of data and models, see https://doi.org/10.21942/uva.c.5290546.Original model developed in 2016-17 in ArcGIS by Henk Pieter Sterk (www.rfase.org), with minor updates in 2021 by Stacy Shinneman and Henk Pieter Sterk. Model used to generate publication results:Hierarchical geomorphological mapping in mountainous areas Matheus G.G. De Jong, Henk Pieter Sterk, Stacy Shinneman & Arie C. Seijmonsbergen. Submitted to Journal of Maps 2020, revisions made in 2021.<br>This model creates tiers (columns) of geomorphological features (Tier 1, Tier 2 and Tier 3) in the landscape of Vorarlberg, Austria, each with an increasing level of detail. The input dataset needed to create this 'three-tier-legend' is a geomorphological map of Vorarlberg with a Tier 3 category (e.g. 1111, for glacially eroded bedrock). The model then automatically adds Tier 1, Tier 2 and Tier 3 categories based on the Tier 3 code in the 'Geomorph' field. The model replaces the input file with an updated shapefile of the geomorphology of Vorarlberg, now including three tiers of geomorphological features. Python script files and .lyr symbology files are also provided here.
DOI: 10.21942/uva.13693702
title: Geomorphology model (ArcGIS Pro version), input datasets and legend symbology files

description: For complete collection of data and models, see https://doi.org/10.21942/uva.c.5290546.Original model developed in 2016-17 in ArcGIS by Henk Pieter Sterk (www.rfase.org), with minor updates in 2021 by Stacy Shinneman and Henk Pieter Sterk. Model used to generate publication results:Hierarchical geomorphological mapping in mountainous areas Matheus G.G. De Jong, Henk Pieter Sterk, Stacy Shinneman & Arie C. Seijmonsbergen. Submitted to Journal of Maps 2020, revisions made in 2021.<br>This model creates tiers (columns) of geomorphological features (Tier 1, Tier 2 and Tier 3) in the landscape of Vorarlberg, Austria, each with an increasing level of detail. The input dataset needed to create this 'three-tier-legend' is a geomorphological map of Vorarlberg with a Tier 3 category (e.g. 1111, for glacially eroded bedrock). The model then automatically adds Tier 1, Tier 2 and Tier 3 categories based on the Tier 3 code in the 'Geomorph' field. The model replaces the input file with an updated shapefile of the geomorphology of Vorarlberg, now including three tiers of geomorphological features. Python script files and .lyr symbology files are also provided here.
DOI: 10.21942/uva.13693702.v19
title: Geomorphology model (ArcGIS Pro version), input datasets and legend symbology files

description: Original model developed in 2016-17 in ArcGIS by Henk Pieter Sterk (www.rfase.org), with minor updates in 2021 by Stacy Shinneman and Henk Pieter Sterk. Model used to generate publication results:Hierarchical geomorphological mapping in mountainous areas Matheus G.G. De Jong, Henk Pieter Sterk, Stacy Shinneman & Arie C. Seijmonsbergen. Submitted to Journal of Maps 2020, revisions made in 2021.<br>This model creates tiers (columns) of geomorphological features (Tier 1, Tier 2 and Tier 3) in the landscape of Vorarlberg, Austria, each with an increasing level of detail. The input dataset needed to create this 'three-tier-legend' is a geomorphological map of Vorarlberg with a Tier 3 category (e.g. 1111, for glacially eroded bedrock). The model then automatically adds Tier 1, Tier 2 and Tier 3 categories based on the Tier 3 code in the 'Geomorph' field. The model replaces the input file with an updated shapefile of the geomorphology of Vorarlberg, now including three tiers of geomorphological features. Python script files and .lyr symbology files are also provided here.
DOI: 10.18746/bmth.data.00000154
title: Out-of-Commerce, Out of Mind: Widening Public Access to Out-of-Commerce Copyright Works in Film Archives through the DSM Directive
DOI: 10.21942/uva.13643189
title: Geomorphology model (ArcMap version), input datasets and legend symbology files

description: For complete collection of data and models, see https://doi.org/10.21942/uva.c.5290546.Original model developed in 2016-17 in ArcGIS by Henk Pieter Sterk (www.rfase.org), with minor updates in 2021 by Stacy Shinneman and Henk Pieter Sterk. Model used to generate publication results: Hierarchical geomorphological mapping in mountainous areas Matheus G.G. De Jong, Henk Pieter Sterk, Stacy Shinneman & Arie C. Seijmonsbergen. Submitted to Journal of Maps 2020, revisions made in 2021.<br>This model creates tiers (columns) of geomorphological features (Tier 1, Tier 2 and Tier 3) in the landscape of Vorarlberg, Austria, each with an increasing level of detail. The input dataset needed to create this 'three-tier-legend' is a geomorphological map of Vorarlberg with a Tier 3 category (e.g. 1111, for glacially eroded bedrock). The model then automatically adds Tier 1, Tier 2 and Tier 3 categories based on the Tier 3 code in the 'Geomorph' field. The model replaces the input file with an updated shapefile of the geomorphology of Vorarlberg, now including three tiers of geomorphological features. Python script files and .lyr symbology files are also provided here.
DOI: 10.21942/uva.13643189.v15
title: Geomorphology model (ArcMap version), input datasets and legend symbology files

description: Original model developed in 2016-17 in ArcGIS by Henk Pieter Sterk (www.rfase.org), with minor updates in 2021 by Stacy Shinneman and Henk Pieter Sterk. Model used to generate publication results: Hierarchical geomorphological mapping in mountainous areas Matheus G.G. De Jong, Henk Pieter Sterk, Stacy Shinneman & Arie C. Seijmonsbergen. Submitted to Journal of Maps 2020, revisions made in 2021.<br>This model creates tiers (columns) of geomorphological features (Tier 1, Tier 2 and Tier 3) in the landscape of Vorarlberg, Austria, each with an increasing level of detail. The input dataset needed to create this 'three-tier-legend' is a geomorphological map of Vorarlberg with a Tier 3 category (e.g. 1111, for glacially eroded bedrock). The model then automatically adds Tier 1, Tier 2 and Tier 3 categories based on the Tier 3 code in the 'Geomorph' field. The model replaces the input file with an updated shapefile of the geomorphology of Vorarlberg, now including three tiers of geomorphological features. Python script files and .lyr symbology files are also provided here.
DOI: 10.6084/m9.figshare.14238041
title: Raw data: share of river discharge (m3/s) normalized between 0 and 1.

description: The repository contains the record of optimized solutions for the case study area under the dry, normal and wet scenarios. The rows indicate the number of solutions found by the model at each run; last three rows show the average, min and max shares of river discharge for each day of the year.<br>
DOI: 10.6084/m9.figshare.14238041.v1
title: Raw data: share of river discharge (m3/s) normalized between 0 and 1.

description: The repository contains the record of optimized solutions for the case study area under the dry, normal and wet scenarios. The rows indicate the number of solutions found by the model at each run; last three rows show the average, min and max shares of river discharge for each day of the year.<br>
DOI: 10.5281/zenodo.4682976
title: Benford's law conformity tests for all crypto currencies in the time frame 2009 (START) - 2018

description: Benford's law, also known as the first-digit law, has been widely used to test for anomalies in various data ranging from accounting fraud detection, stock prices, house prices to electricity bills, population numbers, natural phenomena, death rates and recently so popular COVID-19 cases reports. DataHub cryptocurrency datasets (https://datahub.io/cryptocurrency) was used as a source for daily aggregated data about all transactions on all crypto coin networks from the first mined block on the Bitcoin network till the end of the 2018. The presented dataset is a collection of Benford's law conformity tests for all cryptocurrencies in the observed time-frame.
DOI: 10.5281/zenodo.4682975
title: Benford's law conformity tests for all crypto currencies in the time frame 2009 (START) - 2018

description: Benford's law, also known as the first-digit law, has been widely used to test for anomalies in various data ranging from accounting fraud detection, stock prices, house prices to electricity bills, population numbers, natural phenomena, death rates and recently so popular COVID-19 cases reports. DataHub cryptocurrency datasets (https://datahub.io/cryptocurrency) was used as a source for daily aggregated data about all transactions on all crypto coin networks from the first mined block on the Bitcoin network till the end of the 2018. The presented dataset is a collection of Benford's law conformity tests for all cryptocurrencies in the observed time-frame.
DOI: 10.6084/m9.figshare.14438777
title: Just Public Algorithms project database of cases

description: Description and analysis of 77 cases of public engagement with the use of algorithms in public services in the UK 2013-2020. Analysis includes the kinds of public engagement represented, the public service domains they cover, the kinds of citizens engaged, the technical focus of the engagement, and the potential benefits and risks of these approaches raised in the engagements.
DOI: 10.25405/data.ncl.13019249
title: High CO2 permeability in supported molten-salt membranes with highly dense and aligned pores produced by directional solidification

description: In this work, directional solidification was used to produce ceramic membrane supports with a highly dense array of low tortuosity pores. Molten salts were infiltrated into the pores and CO2 separation experiments performed.<br>Please see the README file for a description of the data.
DOI: 10.6084/m9.figshare.14438768
title: IND.v2

description: The IND dataset contains 256 training and 38 test remote sensing RGB-Depth and pixel-level labeled images at 1024×1024 resolution, which brings new challenges, including shadows and occluded areas, vegetation covers, complex roofs, dense building areas, and large-scale variation.###<br>Please address all correspondence concerning this dataset to me at remote.sensing.group.abe@gmail.com<br><br>
DOI: 10.6084/m9.figshare.11950707
title: DeloguZheng_final_data_delogu.xlsx

description: dataset on the influence of musicality on productive phonology in L2
DOI: 10.6084/m9.figshare.11950707.v3
title: DeloguZheng_final_data_delogu.xlsx

description: dataset on the influence of musicality on productive phonology in L2
DOI: 10.6084/m9.figshare.11950707.v2
title: final_data_delogu.xlsx

description: dataset on the influence of musicality on productive phonology in L2
DOI: 10.6084/m9.figshare.14438981
title: CRE_surveydata2016_2017

description: All students enrolled in course-based experience courses at Lawrence Technological University in the fall 2016 or spring 2017 semesters were invited to complete a pre/post survey that measured six main topics: attitude towards research, self-efficacy, teamwork, cultural sensitivity, gender issues, and race issues. The survey was comprised of 15 items scored along a five-point Likert scale, as well as six demographic questions.
DOI: 10.6084/m9.figshare.14438981.v1
title: CRE_surveydata2016_2017

description: All students enrolled in course-based experience courses at Lawrence Technological University in the fall 2016 or spring 2017 semesters were invited to complete a pre/post survey that measured six main topics: attitude towards research, self-efficacy, teamwork, cultural sensitivity, gender issues, and race issues. The survey was comprised of 15 items scored along a five-point Likert scale, as well as six demographic questions.
DOI: 10.6084/m9.figshare.14414039
title: Yield curation USPTO rsmi/csv datasets

description: In 2017 Lowe shared curated and published USPTO based chemical reaction datasets in csv format. Based on this, Schwaller et al. published curated reaction smiles (they in turn used the curated set disclosed by Jin and coworkers). Both versions have the drawback of containing only partially curated yields. <br><br>In those datasets, two columns are available, TextMinedYield and Calculated yield. Many entries there don't contain any, partial, or incorrect numbers. For certain forms of reaction analysis focusing on yield as only available correlation, that information becomes essentially useless since there is no correlation to reaction conditions (unless one would data-mine the CML files or original XML).<br><br>By correcting and merging the yield into a new column, followed by eliminating faulty entries, the noise in the data set is reduced. The new datasets are reduced by nearly 50%.<br><br>Attached are two kinds of datasets (of each, Lowe and Schwaller):<i>A "cropped" version</i>, containing only the reaction smiles and the curated yield (and an added ID), and only entries with valid yields. Everything else was filtered out.<i>A second type, a "full" version</i>, including the curated yields and all original input columns and entries (no filtration). The latter might come in handy for other applications where one doesn't agree with the applied removal of invalid entries, or to apply further curation.<br>More details can be found on Github containing Python scripts used to procure the attached datasets and a Readme file.<br>For the less adept programmer, a graphical workflow based on the open-source data analysis platform Knime(R) is also available. The latter contains furthermore a proof of concept reaction splitter (data not included here).
DOI: 10.25375/uct.14034653
title: A retrospective, longitudinal study conducted in Cape Town of a mobile clinic screening for HIV and chronic disease.

description: The data set contains HCT/NCD data describing population characteristics of those visiting a mobile clinic in Cape Town, SA, between 2008 and 2016. <br> <b>The aim of this research was to evaluate mobile clinic data </b>and describe population characteristics of those visiting a mobile clinic offering integrated chronic disease screening in high HIV disease burden, limited-resource settings in the Cape Town, South Africa, between 2008 and 2016.<br>Mobile HIV testing services can reach people who delay visiting conventional clinic facilities, including men living with HIV not previously tested. Over half of those previously diagnosed HIV positive were not yet on treatment. This gap requires urgent intervention to provide accessible and desirable treatment options.
DOI: 10.6084/m9.figshare.14439329
title: D'Amario - C-Q relationships 2021 data.xlsx

description: Original and analysis data for C-Q analysis. Original data from the Ontario's Stream Provincial Water Quality Monitoring Network (PWQMN) and Environment Canada's stream gauging stations. Data analysis is described in <i>D'Amario SD, Wilson HF, Xenopoulos MA. 2021. Concentration-discharge relationships derived from a larger regional dataset as a tool for watershed management. Ecological Applications.</i>
DOI: 10.6084/m9.figshare.14439329.v1
title: D'Amario - C-Q relationships 2021 data.xlsx

description: Original and analysis data for C-Q analysis. Original data from the Ontario's Stream Provincial Water Quality Monitoring Network (PWQMN) and Environment Canada's stream gauging stations. Data analysis is described in <i>D'Amario SD, Wilson HF, Xenopoulos MA. 2021. Concentration-discharge relationships derived from a larger regional dataset as a tool for watershed management. Ecological Applications.</i>
DOI: 10.25375/uct.14034653.v1
title: A retrospective, longitudinal study conducted in Cape Town of a mobile clinic screening for HIV and chronic disease.

description: The data set contains HCT/NCD data describing population characteristics of those visiting a mobile clinic in Cape Town, SA, between 2008 and 2016. <br> <b>The aim of this research was to evaluate mobile clinic data </b>and describe population characteristics of those visiting a mobile clinic offering integrated chronic disease screening in high HIV disease burden, limited-resource settings in the Cape Town, South Africa, between 2008 and 2016.<br>Mobile HIV testing services can reach people who delay visiting conventional clinic facilities, including men living with HIV not previously tested. Over half of those previously diagnosed HIV positive were not yet on treatment. This gap requires urgent intervention to provide accessible and desirable treatment options.
DOI: 10.7910/dvn/eayesa
title: Replication Data for Lying Behavior When Payoffs are Shared with Charity: Experimental Evidence

description: Clean Dataset for "Lying Behavior When Payoffs are Shared with Charity: Experimental Evidence"
DOI: 10.17632/m864xphyr4.1
title: Plastic and microplastics in floodplain soils of the Lahn river catchment (Hesse, Germany)

description: This dataset contains all raw data from the investigation of plastic and microplastic concentrations in the floodplain soils of the river Lahn (Hesse, Germany). This includes (1) the microplastic concentrations and soil parameters (e.g. grain size), (2) the microplastic particle properties and (3) the results of the 210Pb and 137Cs dating. All data was recorded in 2020. Information of sampling sites can be found in Weber and Opp (2020): https://doi.org/10.1016/j.envpol.2020.115390. Further information can be found in the project-assigned publications currently in preparation (as of 04/2021).
DOI: 10.17632/cpx5yp8v92.1
title: LINF_110014300

description: kinesin; Leishmania infantum
DOI: 10.17632/jzg663v2n9.1
title: LINF_110014100

description: Alpha/beta hydrolase family; Leishmania infantum
DOI: 10.17632/hzvspssp5w.3
title: Myc-interacting Zinc Finger Protein 1 Suppresses Liver Tumorigenesis by Restricting Hepatocyte-driven Inflammation Independently of Its Transcriptional Activity
DOI: 10.17632/tfx7b2zkjr.1
title: LINF_110013900

description: hypothetical protein - conserved; Leishmania infantum
DOI: 10.17632/7symfg7nt7.1
title: A high-quality reference genome assembly provides insight into fucoxanthin biosynthesis in Isochrysis galbana

description: Isochrysis galbana is considered as an ideal medicinal model for producing physiologically active substances, and used for fucoxanthin and DHA production in large-scale industrial application. Here, we report a high-quality genome sequence of I. galbana LG007, which has a 92.73 Mb genome size, with a contig N50 of 6.99 Mb and 14,900 protein-coding genes. Phylogenomic inferences showed that E. huxleyi, I. galbana and C. tobinii shared a common Haptophyta ancestor. Evolutionary analysis revealed an estimated divergence time of I. galbana from its close relative E. huxleyi of ~133 million years ago, and I. galbana underwent one round of whole-genome duplication. Gene family analysis indicated that lipid metabolism-related genes exhibited significant expansion, especially triacylglycerol and unsaturated fatty acids. Domain identification of one novel fucoxanthin biosynthesis gene that encodes diadinoxanthin-fucoxanthin hydroxylase (DFH) was analyzed. Transcriptome and WGCNA analysis revealed that differentially expressed genes or transcription factors significantly correlated with fucoxanthin synthesis, including IgMYB98, ZDS, PDS and LHCX2. These findings will help to understand lipid and fucoxanthin biosynthesis and its regulation, providing an valuable reference for promoting the development of medicine and health products for fucoxanthin with I. galbana.
DOI: 10.17632/rc4jv3n46n.1
title: SERS polysaccharides mapping
DOI: 10.17632/fxdrgxr3zt.1
title: LINF_110013800

description: hypothetical protein - conserved; Leishmania infantum
DOI: 10.17632/47hnppkjpb.1
title: LINF_110013700

description: hypothetical protein - conserved; Leishmania infantum