cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/6tmhczfv82.2
title: Dataset for: Does capital structure affect profitability? Evidence from Ghanaian listed firms

description: This dataset contains the Excel, STATA file and DO file of 23 firms listed on the Ghana Stock Exchange from 2003-2013. Variables include; ROA, ROE, Short Term Debt, Long Term Debt, Total Debt, Size (2 metrics; total assets and sales), Liquidity (2 metrics; Networking capital and Current assets), Growth (2 metrics; total assets and sales), Financial risk, Market share, Age, Capital, Total assets, Total liabilities, Current assets and Current liabilities.

The DO file contains the codes for the research ''Does capital structure affect profitability? Evidence from Ghanaian listed firms''. To cite this paper;
Kotey, R.A (2020). Does capital structure affect profitability? Evidence from Ghanaian listed firms.
DOI: 10.25375/uct.22309117
title: Characterisation of dust-sized coal particulates: Brunauer-Emmett-Teller (BET) specific surface area measurements

description: The data represented in this excel workbook contains the raw values from the BET surface area analysis. This includes the: (1) specific surface area (m^2/g), (2) pore volume, and (3) pore size in Angstrom.
DOI: 10.5281/zenodo.6653821
title: Shorebird survey data from Foxe Basin and Rasmussen Lowlands, Nunavut - 1994-97 and 2019.

description: Data used in the manuscript "Climate-related range shifts in Arctic-breeding shorebirds", submitted to Diversity and Distributions, June 2022. Data was funded and collected by Environment and Climate Change Canada Metadata: species - 4 letter codes denoting the observed shorebird species. See https://www.birdpop.org/docs/misc/Alpha_codes_eng.pdf binomial - Binomial nomenclature identifying the genus and species of the observed shorebird sti - Species Temperature Index. Calculated as the mean temperature with in the species breeding range. Temperature data came from the WorldClim 2.1 data set (Fick, S.E. and R.J. Hijmans, 2017. WorldClim 2: new 1km spatial resolution climate surfaces for global land areas. International Journal of Climatology 37 (12): 4302-4315). Shorebird breeding range data came from BirdLife International (BirdLife International and Handbook of the Birds of the World. 2020. “Bird Species Distribution Maps of the World. Version 2020.1.” http://datazone.birdlife.org/species/requestdis.) plot - Plot identification number, as part of Environment and Climate Change Canada's Program for Regional and International Shorebird Monitoring program (PRISM). time_period - Denotes which time period the surveys took place in region - Denotes which region the surveys took place in plot_area_km2 - Area of the surveyed plot in km2 plot_habitat - Surveyors estimated the proportion of each plot covered by upland and lowland habitat. Plots were the categorized as upland or lowland depending on which habitat type was predominant n_birds - The number of breeding birds of this species that were observed on plot during the survey. presence - A species was identified as present if one or more individuals of that species were present during the survey.
DOI: 10.5281/zenodo.6653820
title: Shorebird survey data from Foxe Basin and Rasmussen Lowlands, Nunavut - 1994-97 and 2019.

description: Data used in the manuscript "Climate-related range shifts in Arctic-breeding shorebirds", submitted to Diversity and Distributions, June 2022. Data was funded and collected by Environment and Climate Change Canada Metadata: species - 4 letter codes denoting the observed shorebird species. See https://www.birdpop.org/docs/misc/Alpha_codes_eng.pdf binomial - Binomial nomenclature identifying the genus and species of the observed shorebird sti - Species Temperature Index. Calculated as the mean temperature with in the species breeding range. Temperature data came from the WorldClim 2.1 data set (Fick, S.E. and R.J. Hijmans, 2017. WorldClim 2: new 1km spatial resolution climate surfaces for global land areas. International Journal of Climatology 37 (12): 4302-4315). Shorebird breeding range data came from BirdLife International (BirdLife International and Handbook of the Birds of the World. 2020. “Bird Species Distribution Maps of the World. Version 2020.1.” http://datazone.birdlife.org/species/requestdis.) plot - Plot identification number, as part of Environment and Climate Change Canada's Program for Regional and International Shorebird Monitoring program (PRISM). time_period - Denotes which time period the surveys took place in region - Denotes which region the surveys took place in plot_area_km2 - Area of the surveyed plot in km2 plot_habitat - Surveyors estimated the proportion of each plot covered by upland and lowland habitat. Plots were the categorized as upland or lowland depending on which habitat type was predominant n_birds - The number of breeding birds of this species that were observed on plot during the survey. presence - A species was identified as present if one or more individuals of that species were present during the survey. latitude - Latitude of the plot corner longitude - Longitude of the plot corner coordinate_type - Which corner of the plot are the coordinates for?
description: Updated dataset to include plot coordinates
DOI: 10.5281/zenodo.7767474
title: Shorebird survey data from Foxe Basin and Rasmussen Lowlands, Nunavut - 1994-97 and 2019.

description: Data used in the manuscript "Climate-related range shifts in Arctic-breeding shorebirds", submitted to Diversity and Distributions, June 2022. Data was funded and collected by Environment and Climate Change Canada Metadata: species - 4 letter codes denoting the observed shorebird species. See https://www.birdpop.org/docs/misc/Alpha_codes_eng.pdf binomial - Binomial nomenclature identifying the genus and species of the observed shorebird sti - Species Temperature Index. Calculated as the mean temperature with in the species breeding range. Temperature data came from the WorldClim 2.1 data set (Fick, S.E. and R.J. Hijmans, 2017. WorldClim 2: new 1km spatial resolution climate surfaces for global land areas. International Journal of Climatology 37 (12): 4302-4315). Shorebird breeding range data came from BirdLife International (BirdLife International and Handbook of the Birds of the World. 2020. “Bird Species Distribution Maps of the World. Version 2020.1.” http://datazone.birdlife.org/species/requestdis.) plot - Plot identification number, as part of Environment and Climate Change Canada's Program for Regional and International Shorebird Monitoring program (PRISM). time_period - Denotes which time period the surveys took place in region - Denotes which region the surveys took place in plot_area_km2 - Area of the surveyed plot in km2 plot_habitat - Surveyors estimated the proportion of each plot covered by upland and lowland habitat. Plots were the categorized as upland or lowland depending on which habitat type was predominant n_birds - The number of breeding birds of this species that were observed on plot during the survey. presence - A species was identified as present if one or more individuals of that species were present during the survey. latitude - Latitude of the plot corner longitude - Longitude of the plot corner coordinate_type - Which corner of the plot are the coordinates for?
description: Updated dataset to include plot coordinates
DOI: 10.17632/zn53tb4h34.1
title: Dataset for the electric capacitated traveling salesman problem

description: The data are used for the Electric Capacitated Travelling Salesman Problem (EC-TSP) as they are described in the article entitled Dataset for the electric capacitated traveling salesman problem. This dataset has been used for the assessment of e-cargo bikes versus typical delivery vans in terms of operational efficiency and CO2e emissions. The excel (.xlsx) files include 18 realistic datasets (9 datasets for goods’ delivery via vans and 9 datasets for e-cargo bikes deliveries) which reflect the distribution process of retail products. All the data regarding delivery demands, e-cargo capacities, travel and service times have been generated by using real-life data from a retail company that owns physical stores in the city centers of Athens, Thessaloniki, Patra and Larisa in Greece and provides cargo-bike deliveries for e-commerce clients. Finally, the word (.doc) file is the explanation memo for the excel files.
DOI: 10.17632/94gsyytsr3.1
title: Assumed-gaze approach: agreement with eye-tracker

description: Dataset associated to the results described on the original manuscript.
DOI: 10.17632/tz4v6dmnxc.1
title: Evidence for partial melting and saline fluids in the crust from a 3-D electrical resistivity model in the vicinity of the Coqen region, western Lhasa terrane

description: Data files for a Magnetotellurics profile  study on the deep geo-electrical structure of the lithospheric structure in the western Lhasa terrane, conducted by China University of Geosciences in Beijing.
DOI: 10.5281/zenodo.7767495
title: calameuta_haemorrhoidalis_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.7767494
title: calameuta_haemorrhoidalis_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.6084/m9.figshare.22241593.v1
title: Supplementary Material for: Carcinoid Heart Disease Induced Right Sided Heart Failure as a Culprit for Significant Ascites

description: The diagnosis of carcinoid heart disease as a cause of ascites can be hard to establish. We report a patient with well-differentiated neuroendocrine neoplasm of the liver who presented with high serum ascites albumin gradient and high protein ascites due to carcinoid heart disease (CHD). As ascites caused by CHD is rare, the etiology can easily be overlooked especially in the setting of alcohol use disorder and portal hypertension. Through our case report, we emphasize the importance of physical examination and peritoneal fluid analysis in the diagnosis of CHD. As the management of CHD requires a multidisciplinary approach, early diagnosis is crucial so that relevant specialists can have the opportunity for early intervene in order to produce the best patient outcome.
DOI: 10.25573/data.22329211.v3
title: Self-Reflection Annotated Bibliography

description: The Wolf Who Walks in Two Worlds guidebook is a synthesis of design discussions existing literature. This annotated bibliography on self-reflection was foundational in the development of the guidebook, and can also be helpful resource or the creation for other resources.
DOI: 10.25573/data.22329211
title: Self-Reflection Annotated Bibliography

description: The Wolf Who Walks in Two Worlds guidebook is a synthesis of design discussions existing literature. This annotated bibliography on self-reflection was foundational in the development of the guidebook, and can also be helpful resource or the creation for other resources.
DOI: 10.25573/data.22329211.v2
title: Self-Reflection Annotated Bibliography

description: The Wolf Who Walks in Two Worlds guidebook is a synthesis of design discussions existing literature. This annotated bibliography on self-reflection was foundational in the development of the guidebook, and can also be helpful resource or the creation for other resources.
DOI: 10.5281/zenodo.7767507
title: calameuta_idolon_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.7767506
title: calameuta_idolon_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.7767467
title: Glacier slowdown and rapid ice loss in the Tinguiririca and Cachapoal Basin, Central Andes of Chile

description: Ice thickness and velocity data for the paper "Glacier slowdown and rapid ice loss in the Tinguiririca and Cachapoal Basin, Central Andes of Chile". The data is available for both annual medians and multi-year medians. Raw Sentinel-2 imagery used to reproduce these results can be freely downloaded from a variety of online sources, we do not upload it here to avoid excessive storage. The GIV toolbox may be accessed here: https://github.com/MaxVWDV/glacier-image-velocimetry.
DOI: 10.5281/zenodo.7767466
title: Glacier slowdown and rapid ice loss in the Tinguiririca and Cachapoal Basin, Central Andes of Chile

description: Ice thickness and velocity data for the paper "Glacier slowdown and rapid ice loss in the Tinguiririca and Cachapoal Basin, Central Andes of Chile". The data is available for both annual medians and multi-year medians. Raw Sentinel-2 imagery used to reproduce these results can be freely downloaded from a variety of online sources, we do not upload it here to avoid excessive storage. The GIV toolbox may be accessed here: https://github.com/MaxVWDV/glacier-image-velocimetry.
DOI: 10.6084/m9.figshare.22332691
title: The effect of the linear alkylbenzene sulphonates, sodium-dodecyl-sulphate (SDS) on the bioaccumulation of Al, Sr & Mn by Brassica oleracea & Solanum tuberosum

description: Pot-Culture experiments data sets
DOI: 10.6084/m9.figshare.22332691.v1
title: The effect of the linear alkylbenzene sulphonates, sodium-dodecyl-sulphate (SDS) on the bioaccumulation of Al, Sr & Mn by Brassica oleracea & Solanum tuberosum

description: Pot-Culture experiments data sets
DOI: 10.5281/zenodo.7767455
title: The evolution of lexical semantics dynamics, directionality, and drift: S4

description: Supplementary Material (S4) for the study "The evolution of lexical semantics dynamics, directionality, and drift", for Frontiers in Communication, Special Issue "The Evolution of Meaning: Challenges in Quantitative Lexical Typology", ed. Gerd Carling & Annemarie Verkerk
DOI: 10.5281/zenodo.7767454
title: The evolution of lexical semantics dynamics, directionality, and drift: S4

description: Supplementary Material (S4) for the study "The evolution of lexical semantics dynamics, directionality, and drift", for Frontiers in Communication, Special Issue "The Evolution of Meaning: Challenges in Quantitative Lexical Typology", ed. Gerd Carling & Annemarie Verkerk
DOI: 10.5281/zenodo.7124187
title: polyOne Data Set - 100 million hypothetical polymers including 29 properties

description: <strong>polyOne Data Set</strong> The data set contains 100 million hypothetical polymers each with 29 predicted properties using machine learning models. We use PSMILES strings to represent polymer structures, see here and here. The polymers are generated by decomposing previously synthesized polymers into unique chemical fragments. Random and enumerative compositions of these fragments yield 100 million hypothetical PSMILES strings. All PSMILES strings are chemically valid polymers but, mostly, have never been synthesized before. More information can be found in the paper. Please note the license agreement in the LICENSE file. <strong>Full data set including the properties</strong> The data files are in Apache Parquet format. The files start with `polyOne_*.parquet`. I recommend using dask (`pip install dask`) to load and process the data set. Pandas also works but is slower. Load sharded data set with dask<br> ```python<br> import dask.dataframe as dd<br> ddf = dd.read_parquet("*.parquet", engine="pyarrow")<br> ``` For example, compute the description of data set<br> ```python<br> df_describe = ddf.describe().compute()<br> df_describe ``` <strong>PSMILES strings only</strong> generated_polymer_smiles_train.txt - 80 million PSMILES strings for training polyBERT. One string per line. generated_polymer_smiles_dev.txt - 20 million PSMILES strings for testing polyBERT. One string per line.
DOI: 10.5281/zenodo.7124188
title: polyOne Data Set - 100 million hypothetical polymers including 29 properties

description: <strong>polyOne Data Set</strong> The data set contains 100 million hypothetical polymers each with 29 predicted properties using machine learning models. We use PSMILES strings to represent polymer structures, see here and here. The polymers are generated by decomposing previously synthesized polymers into unique chemical fragments. Random and enumerative compositions of these fragments yield 100 million hypothetical PSMILES strings. All PSMILES strings are chemically valid polymers but, mostly, have never been synthesized before. More information can be found in the paper. Please note the license agreement in the LICENSE file. <strong>Full data set including the properties</strong> The data files are in Apache Parquet format. The files start with `polyOne_*.parquet`. I recommend using dask (`pip install dask`) to load and process the data set. Pandas also works but is slower. Load sharded data set with dask<br> ```python<br> import dask.dataframe as dd<br> ddf = dd.read_parquet("*.parquet", engine="pyarrow")<br> ``` For example, compute the description of data set<br> ```python<br> df_describe = ddf.describe().compute()<br> df_describe ``` <strong>PSMILES strings only</strong> generated_polymer_smiles_train.txt - 80 million PSMILES strings for training polyBERT. One string per line. generated_polymer_smiles_dev.txt - 20 million PSMILES strings for testing polyBERT. One string per line.
DOI: 10.6084/m9.figshare.22332776
title: Tables S1–S11: Petrology of the 2020–21 effusive to explosive eruption of La Soufrière volcano, St Vincent: insights into plumbing system architecture and magma assembly mechanism

description: Details of analysed samples, bulk-rock, clinopyroxene, orthopyroxene, plagioclase, Fe–Ti oxide, olivine, groundmass and melt inclusion analysis, diffusion time-scales, secondary standards EPMA and XRF.
DOI: 10.6084/m9.figshare.22332776.v1
title: Tables S1–S11: Petrology of the 2020–21 effusive to explosive eruption of La Soufrière volcano, St Vincent: insights into plumbing system architecture and magma assembly mechanism

description: Details of analysed samples, bulk-rock, clinopyroxene, orthopyroxene, plagioclase, Fe–Ti oxide, olivine, groundmass and melt inclusion analysis, diffusion time-scales, secondary standards EPMA and XRF.
DOI: 10.15139/s3/0cwtzc
title: Aerobic exercise and action observation priming modulate functional connectivity

description: This dataset contains participant measurements, demographics, and electroencephalography (EEG) measurements.
DOI: 10.6084/m9.figshare.22332727
title: Tao Wang- CEE-Supplementary Infomation.zip

description: Supplementary Infomation- Communications Earth & Environment -Quantitative characterization of orogens through isotopic mapping
DOI: 10.6084/m9.figshare.22332727.v2
title: Tao Wang- CEE-Supplementary Infomation.zip

description: Supplementary Infomation- Communications Earth & Environment -Quantitative characterization of orogens through isotopic mapping
DOI: 10.6084/m9.figshare.22332727.v1
title: Tao Wang- CEE-Supplementary Infomation.zip

description: Supplementary Infomation- Communications Earth & Environment -Quantitative characterization of orogens through isotopic mapping
DOI: 10.6084/m9.figshare.22332784
title: Further development in determining the power law distribution truncation length

description: Intraday spot exchange rate data of the Brazilian real against the US dollar, Euro, and British pound transacted on foreign exchange markets. There are 629,848 tick-by-tick bid prices kindly provided by Tick Data, LLC
DOI: 10.6084/m9.figshare.22332784.v1
title: Further development in determining the power law distribution truncation length

description: Intraday spot exchange rate data of the Brazilian real against the US dollar, Euro, and British pound transacted on foreign exchange markets. There are 629,848 tick-by-tick bid prices kindly provided by Tick Data, LLC
DOI: 10.5281/zenodo.7767586
title: calameuta_pallipes_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.7767585
title: calameuta_pallipes_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.6084/m9.figshare.22332775
title: The genetic basis of adaptation to copper pollution in Drosophila melanogaster

description: Supplemental material including scripts and datafiles.
DOI: 10.5281/zenodo.7767371
title: Multiplexed On-Yeast Serological Assay for Immune Escape Screening of SARS-CoV-2 Variants

description: Experimental data and scripts used for the development of a Yeast-based serological Assay: The<strong> Python scripts</strong> folder includes all scripts used in this study to analyze sera titers and plotting data. The<strong> Raw data</strong> folder includes: The Y<strong>east Immunoassay development</strong> folder includes the flow cytometric data for serum depletion and reduction of ligand depletion effects. The <strong>Yeast serological data folder</strong> includes the raw data of all tested sera and related data for their analyses. The <strong>Snapgene plasmid maps </strong>folder includes the plasmid maps for the three SARS-CoV-2 VOCs for Snapgene.
DOI: 10.5281/zenodo.7767370
title: Multiplexed On-Yeast Serological Assay for Immune Escape Screening of SARS-CoV-2 Variants

description: Experimental data and scripts used for the development of a Yeast-based serological Assay: The<strong> Python scripts</strong> folder includes all scripts used in this study to analyze sera titers and plotting data. The<strong> Raw data</strong> folder includes: The Y<strong>east Immunoassay development</strong> folder includes the flow cytometric data for serum depletion and reduction of ligand depletion effects. The <strong>Yeast serological data folder</strong> includes the raw data of all tested sera and related data for their analyses. The <strong>Snapgene plasmid maps </strong>folder includes the plasmid maps for the three SARS-CoV-2 VOCs for Snapgene.
DOI: 10.5281/zenodo.6941758
title: Benchmark denoising strategies on fMRIPrep output - input data

description: All inputs required to build the figures and statistics in the jupyter book.<br> Untar the file and put it under the `inputs/` directory. Repository: https://github.com/SIMEXP/fmriprep-denoise-benchmark Book: https://simexp.github.io/fmriprep-denoise-benchmark/
DOI: 10.5281/zenodo.7134082
title: Benchmark denoising strategies on fMRIPrep output - input data

description: All inputs required to build the figures and statistics in the jupyter book.<br> Including: summary statistics for the figures and average connectomes per dataset.<br> Untar the file and put it under the `inputs/` directory. Repository: https://github.com/SIMEXP/fmriprep-denoise-benchmark Book: https://simexp.github.io/fmriprep-denoise-benchmark/
DOI: 10.5281/zenodo.7139627
title: Benchmark denoising strategies on fMRIPrep output - input data

description: All inputs required to build the figures and statistics in the jupyter book.<br> Including: summary statistics for the figures and average connectomes per dataset.<br> Untar the file and put it under the `inputs/` directory. Repository: https://github.com/SIMEXP/fmriprep-denoise-benchmark Book: https://simexp.github.io/fmriprep-denoise-benchmark/
DOI: 10.5281/zenodo.6941757
title: Benchmark denoising strategies on fMRIPrep output - input data

description: All inputs required to build the figures and statistics in the jupyter book.<br> Including: summary statistics for the figures and average connectomes per dataset.<br> Untar the file and put it under the `inputs/` directory. Repository: https://github.com/SIMEXP/fmriprep-denoise-benchmark Book: https://simexp.github.io/fmriprep-denoise-benchmark/
DOI: 10.5281/zenodo.7140215
title: Benchmark denoising strategies on fMRIPrep output - input data

description: All inputs required to build the figures and statistics in the jupyter book.<br> Including: summary statistics for the figures and average connectomes per dataset.<br> Untar the file and put it under the `inputs/` directory. Repository: https://github.com/SIMEXP/fmriprep-denoise-benchmark Book: https://simexp.github.io/fmriprep-denoise-benchmark/
DOI: 10.5281/zenodo.7221351
title: Benchmark denoising strategies on fMRIPrep output - input data

description: All inputs required to build the figures and statistics in the jupyter book.<br> Including: summary statistics for the figures and average connectomes per dataset.<br> Untar the file and put it under the `inputs/` directory. Repository: https://github.com/SIMEXP/fmriprep-denoise-benchmark Book: https://simexp.github.io/fmriprep-denoise-benchmark/