cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.21546570.v1
title: Bioaccumulation and sources identification of atmospheric metal trace elements using lichens along a rural–urban pollution gradient in the Safi-Essaouira coastal area

description: Atmospheric contamination by metallic trace elements emitted by various human activities constitutes an important threat to human and environmental health. This study aims to determine metal accumulation and the sources of air metallic pollution in the Safi urban-industrial area using lichens as biomonitors. Ten trace elements (As, Cd, Co, Cr, Cu, Ni, Pb, Ti, V and Zn) concentrations and <sup>206</sup>Pb/<sup>207</sup>Pb and <sup>208</sup>Pb/<sup>207</sup>Pb isotopic ratios were analyzed by ICP-MS in four lichen species: <i>Xanthoria Parietina, Ramalina Lacera</i>, <i>Xanthoria Calcicola</i> and <i>Ramalina Pollinaria</i>. The results showed significant differences among study sites for most elements with higher concentrations in the industrial, urban and peri-urban sites compared to the reference site chosen as a natural rural area far from any human activities. Significant differences were found between saxicolous and corticolous species especially for Cd, Cu and Zn. The values of Zn/Cu, Zn/Pb and Pb isotope ratios measured in lichens revealed that vehicular traffic and industrial emissions are the main sources of atmospheric Pb contamination. Other anthropic activities (waste incineration, artisanal pottery …) might be the source of other trace metal elements accumulated by lichens. Airborne contaminants in Safi appear to be exported from their sources by air mass movements driven by the regional wind profile.
DOI: 10.6084/m9.figshare.22121360
title: Profil épidémiologique du cancer de l'enfant

description: cancer de l'enfant
DOI: 10.6084/m9.figshare.22121360.v1
title: Profil épidémiologique du cancer de l'enfant

description: cancer de l'enfant
DOI: 10.34740/kaggle/dsv/5019639
title: Elon Musk Tweets
DOI: 10.6084/m9.figshare.22121345
title: Arabic numerals 1 to 19 in chimpanzees

description: <strong>Purpose</strong>: We disclose the dataset for the published article. The Excel sheet is for making the figures. <strong>Abstract: </strong>The sequence of Arabic numerals from 1 to 19 was taught to six chimpanzees, three pairs of mother and child. Each chimpanzee participant sat facing a touchscreen on which the numerals appeared in random positions within an imaginary 5-by-8 matrix. They had to touch the numerals in ascending order. Baseline training involved touching the adjacent numerals from 1 to X or from the numeral X to 19. Systematic tests revealed the following results: (1) The range 1 to 9 was easier than 1 to 19. (2) Adjacent numerals were easier than nonadjacent ones. (3) The “masking task” memory task caused deterioration of performance. All these factors depended on the number of numerals simultaneously presented on the screen. A chimpanzee named Pal mastered the skill of ordering two-digit numerals with 100% accuracy. Human participants were tested in the same experiment with the same procedure. Both species showed relative difficulty in handling two-digit numerals. Global–local information processing is known to be different between humans and other primates. The assessment of chimpanzee performance and comparison with humans were discussed in terms of the possible difference in the global–local dual information processing of two-digit numerals.
DOI: 10.6084/m9.figshare.22121363
title: BET Data.pdf

description: BET analysis of bamboo biochar
DOI: 10.17632/bf58fznfx2.1
title: Vaughnetal2023_IntegrOrganBiol_PodarcisMorphologyPerformance

description: Data and analysis code associated with Vaughn et al. 2023, "Climbing and clinging of urban lizards are differentially affected by morphology, temperature, and substrate" published in the journal Integrative Organismal Biology.
DOI: 10.17632/8v5y93rpxk.1
title: Interplay between liver and blood stages of Plasmodium infection dictates malaria severity via GD T cells and IL-17-promoted stress erythropoiesis

description: Statistical analysis and raw data related to the manuscript entitled : " Interplay between liver and blood stages of Plasmodium infection dictates malaria severity via GD T cells and IL-17-promoted stress erythropoiesis"
DOI: 10.17632/f3sfsw7vn2.1
title: Interplay between liver and blood stages of Plasmodium infection dictates malaria severity via GD T cells and IL-17-promoted stress erythropoiesis - MATLAB files

description: MATLAB files of the mathematical modelling included in the manuscript entitled :" Interplay between liver and blood stages of Plasmodium infection dictates malaria severity via GD T cells and IL-17-promoted stress erythropoiesis."
DOI: 10.5281/zenodo.7337824
title: Replication package for "Motivation in the Dynamics of European Youth Migration"

description: Replication package for the paper "Motivation in the Dynamics of European Youth Migration". The package contains the data and the SPSS and Stata code for the the analyses presented in the paper. The original data from which the variables are extracted was collected within the EU Horizon 2020 project YMOBILITY (2015-2018).
DOI: 10.5281/zenodo.7652416
title: Dataset for the paper "A boundary-guided transformer based method for measuring distance from rectal tumor to anal verge on magnetic resonance images"

description: A sagittal MR rectal image dataset for the field of DTAV measurement.
DOI: 10.5281/zenodo.7652415
title: Dataset for the paper "A boundary-guided transformer based method for measuring distance from rectal tumor to anal verge on magnetic resonance images"

description: A sagittal MR rectal image dataset for the field of DTAV measurement.
DOI: 10.34740/kaggle/dsv/5019942
title: Natural Questions Answering
DOI: 10.5281/zenodo.7153502
title: Dataset for presentation Le Digital Humanities nei corsi di studio e di dottorato: questioni formative, disciplinari, istituzionali

description: This is the dataset upon which the slides of my talk "Le Digital Humanities nei corsi di studio e di dottorato: questioni formative, disciplinari, istituzionali" was based. <strong><em>Singoli insegnamenti di informatica umanistica in Italia (responses).csv </em></strong>is a CSV file including the 'raw' replies of the survey mentioned in the slides <strong><em>insegnamenti.ods</em></strong> is an ODS spreadsheet including data and graphs on individual Digital Humanities classes in Italian universities. This spreadsheet derives from the CSV file, but includes additional information deriving from my personal research. <em><strong>cds.ods</strong></em> is an ODS spreadsheet including data and graphs on BA and MA programs in the Digital Humanities in Italy. It is not related to the CSV file.
description: I presented an analysis of the data of this dataset in a talk entitled "Le Digital Humanities nei corsi di studio e di dottorato: questioni formative, disciplinari, istituzionali". The slides of this talk are also published on Zotero, with DOI https://doi.org/10.5281/zenodo.7153419
DOI: 10.5281/zenodo.7153501
title: Dataset for presentation Le Digital Humanities nei corsi di studio e di dottorato: questioni formative, disciplinari, istituzionali

description: This is the dataset upon which the slides of my talk "Le Digital Humanities nei corsi di studio e di dottorato: questioni formative, disciplinari, istituzionali" was based. <strong><em>Singoli insegnamenti di informatica umanistica in Italia (responses).csv </em></strong>is a CSV file including the 'raw' replies of the survey mentioned in the slides. The column "User display name" represents the user filling the survey. It is always "Anonymous user", except when I replyied myself: in this case it is "ilbuonme" <strong><em>insegnamenti.ods</em></strong> is an ODS spreadsheet including data and graphs on individual Digital Humanities classes in Italian universities. This spreadsheet derives from the CSV file, but includes additional information deriving from my personal research. <em><strong>cds.ods</strong></em> is an ODS spreadsheet including data and graphs on BA and MA programs in the Digital Humanities in Italy. It is not related to the CSV file.
description: I presented an analysis of the data of this dataset in a talk entitled "Le Digital Humanities nei corsi di studio e di dottorato: questioni formative, disciplinari, istituzionali". The slides of this talk are also published on Zotero, with DOI https://doi.org/10.5281/zenodo.7153419
DOI: 10.5281/zenodo.7646861
title: Dataset for presentation Le Digital Humanities nei corsi di studio e di dottorato: questioni formative, disciplinari, istituzionali

description: This is the dataset upon which the slides of my talk "Le Digital Humanities nei corsi di studio e di dottorato: questioni formative, disciplinari, istituzionali" was based. <strong><em>Singoli insegnamenti di informatica umanistica in Italia (responses).csv </em></strong>is a CSV file including the 'raw' replies of the survey mentioned in the slides. The column "User display name" represents the user filling the survey. It is always "Anonymous user", except when I replyied myself: in this case it is "ilbuonme" <strong><em>insegnamenti.ods</em></strong> is an ODS spreadsheet including data and graphs on individual Digital Humanities classes in Italian universities. This spreadsheet derives from the CSV file, but includes additional information deriving from my personal research. <em><strong>cds.ods</strong></em> is an ODS spreadsheet including data and graphs on BA and MA programs in the Digital Humanities in Italy. It is not related to the CSV file.
description: I presented an analysis of the data of this dataset in a talk entitled "Le Digital Humanities nei corsi di studio e di dottorato: questioni formative, disciplinari, istituzionali". The slides of this talk are also published on Zotero, with DOI https://doi.org/10.5281/zenodo.7153419
DOI: 10.5281/zenodo.7646940
title: Dataset for presentation Le Digital Humanities nei corsi di studio e di dottorato: questioni formative, disciplinari, istituzionali

description: This is the dataset upon which the slides of my talk "Le Digital Humanities nei corsi di studio e di dottorato: questioni formative, disciplinari, istituzionali" was based. <strong><em>Singoli insegnamenti di informatica umanistica in Italia (responses).csv </em></strong>is a CSV file including the 'raw' replies of the survey mentioned in the slides. The column "User display name" represents the user filling the survey. It is always "Anonymous user", except when I replyied myself: in this case it is "ilbuonme" <strong><em>insegnamenti.ods</em></strong> is an ODS spreadsheet including data and graphs on individual Digital Humanities classes in Italian universities. This spreadsheet derives from the CSV file, but includes additional information deriving from my personal research. <em><strong>cds.ods</strong></em> is an ODS spreadsheet including data and graphs on BA and MA programs in the Digital Humanities in Italy. It is not related to the CSV file.
description: I presented an analysis of the data of this dataset in a talk entitled "Le Digital Humanities nei corsi di studio e di dottorato: questioni formative, disciplinari, istituzionali". The slides of this talk are also published on Zotero, with DOI https://doi.org/10.5281/zenodo.7153419
DOI: 10.34740/kaggle/dsv/5020150
title: Natural Questions Answering
DOI: 10.6084/m9.figshare.22117556.v4
title: Establishment of a differential diagnosis method and a online prediction platform for AOSD and sepsis based on machine learning

description: Raw data and codes for the development of predictive models for the differential diagnosis of AOSD and sepsis
DOI: 10.6084/m9.figshare.22117556.v3
title: Establishment of a differential diagnosis method and a online prediction platform for AOSD and sepsis based on machine learning

description: Raw data and codes for the development of predictive models for the differential diagnosis of AOSD and sepsis
DOI: 10.34740/kaggle/dsv/5020222
title: Natural Questions Answering
DOI: 10.15151/esrf-es-1030393397
title: Dynamic battery abuse testing with X-ray imaging
DOI: 10.34740/kaggle/dsv/5020388
title: UNET Lung Segmentation Weights for Chest X Rays
DOI: 10.34740/kaggle/dsv/5020389
title: Global Genomic Neurofibromatosis Neoplasia
DOI: 10.17909/5fq3-s930
title: AY Psc photometry

description: TESS observations of AY PSC, a Z Cam-type cataclysmic variable.
DOI: 10.5281/zenodo.7652482
title: Replication package for "Motivation in the Dynamics of European Youth Migration"

description: Replication package for the paper "Motivation in the Dynamics of European Youth Migration". The package contains the data and the SPSS and Stata code for the the analyses presented in the paper. The original data from which the variables are extracted was collected within the EU Horizon 2020 project YMOBILITY (2015-2018).
DOI: 10.5281/zenodo.7337823
title: Replication package for "Motivation in the Dynamics of European Youth Migration"

description: Replication package for the paper "Motivation in the Dynamics of European Youth Migration". The package contains the data and the SPSS and Stata code for the the analyses presented in the paper. The original data from which the variables are extracted was collected within the EU Horizon 2020 project YMOBILITY (2015-2018).
DOI: 10.34740/kaggle/dsv/5020416
title: YouTube Daily
DOI: 10.25345/c53r0q38x
title: MassIVE MSV000091321 - Interaction network of human early embryonic transcription factors
title: This dataset contains the raw BioID and APMS files produced for 'Interaction network of human early embryonic transcription factors '.
DOI: 10.5281/zenodo.7358696
title: Dataset and Application of Algorithms of "Towards a More Set of Acceptance Criteria"

description: This dataset contains the requirements of the Corona Warn App together with the results of the application of the algorithms described in "Towards a More Complete Set of Acceptance Criteria Using User Story Similarity" on this data set.
DOI: 10.5281/zenodo.7358697
title: Dataset and Application of Algorithms of "Towards a More Set of Acceptance Criteria"

description: This dataset contains the requirements of the Corona Warn App together with the results of the application of the algorithms described in "Towards a More Complete Set of Acceptance Criteria" on this data set.
DOI: 10.5281/zenodo.7652618
title: Dataset and Application of Algorithms of "Towards a More Set of Acceptance Criteria"

description: This dataset contains the requirements of the Corona Warn App together with the results of the application of the algorithms described in "Towards a More Complete Set of Acceptance Criteria Using User Story Similarity" on this data set.
DOI: 10.34740/kaggle/ds/2912943
title: Significant Earthquake Dataset 1900-2023
DOI: 10.6084/m9.figshare.22121450
title: 2 km ground profile.xlsx

description: The ground evelation for a 2-km road construction project has been provided in a worksheet excel file.
DOI: 10.6084/m9.figshare.22121450.v1
title: 2 km ground profile.xlsx

description: The ground evelation for a 2-km road construction project has been provided in a worksheet excel file.
DOI: 10.5281/zenodo.7652405
title: Dataset test: Master Data Science (LEB Oro)

description: Archivo de prueba para la asignatura de ciclo de vida de los datos. El dataset contiene las estadísticas principales de los equipos de la LEB Oro (2022/2023) de las primeras 20 jornadas.
description: {"references": ["Competiciones FEB. https://baloncestoenvivo.feb.es/"]}
DOI: 10.5281/zenodo.7652406
title: Dataset test: Master Data Science (LEB Oro)

description: Archivo de prueba para la asignatura de ciclo de vida de los datos. El dataset contiene las estadísticas principales de los equipos de la LEB Oro (2022/2023) de las primeras 20 jornadas.
description: {"references": ["Competiciones FEB. https://baloncestoenvivo.feb.es/"]}
DOI: 10.34740/kaggle/dsv/5020631
title: 2021 World Population (updated daily)
DOI: 10.5281/zenodo.5771718
title: Manual segmentation and classification dataset

description: The archive contains 2 datasets for the Special issue "Neuroinformatics and Signal Processing" https://www.mdpi.com/journal/brainsci/special_issues/Neuroinformatics_Signal A segmentation dataset demonstrating Active Segmentation. The image is taken from the ISIBI 2012 dataset. A classification dataset - HeLa cells
DOI: 10.5281/zenodo.5771719
title: Manual segmentation dataset

description: A dataset demonstrating Active Segmentation. The image is taken from the ISIBI 2012 dataset. Dataset for the Special issue "Neuroinformatics and Signal Processing" https://www.mdpi.com/journal/brainsci/special_issues/Neuroinformatics_Signal
DOI: 10.5281/zenodo.7652728
title: Manual segmentation and classification dataset

description: The archive contains 2 datasets for the Special issue "Neuroinformatics and Signal Processing" https://www.mdpi.com/journal/brainsci/special_issues/Neuroinformatics_Signal A segmentation dataset demonstrating Active Segmentation. The image is taken from the ISIBI 2012 dataset. A classification dataset - HeLa cells
DOI: 10.6084/m9.figshare.22115735
title: earthquake catalog

description: Earthquake catalog for Changning area, Sichuan, China from July 6, 2019 to August 21, 2019. Each column of data in the file represents longitude, latitude, year, month, day, magnitude, depth, hour, minute and second.
DOI: 10.6084/m9.figshare.22115735.v2
title: earthquake catalog

description: Earthquake catalog for Changning area, Sichuan, China from July 6, 2019 to August 21, 2019. Each column of data in the file represents longitude, latitude, year, month, day, magnitude, depth, hour, minute and second.
DOI: 10.6084/m9.figshare.22115735.v1
title: earthquake catalog

description: Earthquake catalog for Changning area, Sichuan, China from July 6, 2019 to August 21, 2019.
DOI: 10.34740/kaggle/dsv/5020224
title: ICC WORLD CUP 2007 All Batsman Stat
DOI: 10.34740/kaggle/dsv/5020726
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.5281/zenodo.7652820
title: osmoderma_eremita_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.7652819
title: osmoderma_eremita_spades_01.fasta.gz

description: .
DOI: 10.6084/m9.figshare.22121507
title: Peralta et al 2023 Microb Biotechn.xlsx

description: The Excel file contains all the data employed in the analyses of the related manuscript. It contains metadata, alpha diversity indexes, beta diversity matrixes and even the data for lefse analyses
DOI: 10.6084/m9.figshare.22121507.v1
title: Peralta et al 2023 Microb Biotechn.xlsx

description: The Excel file contains all the data employed in the analyses of the related manuscript. It contains metadata, alpha diversity indexes, beta diversity matrixes and even the data for lefse analyses
DOI: 10.5281/zenodo.6975996
title: Data from: high-resolution bioclimatic surfaces for southern Peru: an approach to climate reality for biological conservation

description: Climatic and bioclimatic surfaces were elaborated for southern Peru (Arequipa, Moquegua and Tacna). For the interpolations, meteorological information from in-situ stations, as well as orographic and geographic covariates were used. Statistical evaluations gave good results, showing some differences with other models also performed for the area. These data will contribute to a better understanding of the ecoclimatic requirements of the species in terms of ENMs and SDMs.
description: The following files are the result of the following article: High resolution bioclimatic surfaces for southern Peru: an approximation to the climatic reality for biological conservation. Here are 12 surfaces for maximum temperature, 12 for minimum temperature, 12 for average temperature, 12 for precipitation and 19 bioclimatic surfaces for the study area. Details of some of the published figures are also included. Where: Bios tif = 19 bioclimatic surfaces in .tif format. Prec = 12 monthly precipitation surface in .tif format. Tave = 12 monthly mean temperature surface in .tif format. Tmax = 12 monthly maximum temperature surfaces in .tif format. Tmin = 12 monthly minimum temperature surfaces in .tif format. The names of the bioclimatic surfaces correspond to the following: bio1=average annual mean temperature (°C), bio2=average diurnal range (°C), bio3=isothermality, bio4=temperature seasonality (standard deviation), bio5=maximum temperature of the warmest month (°C), bio6=minimum temperature of the coldest month (°C), bio7=annual temperature range (°C), bio8=average temperature of the wettest quarter (°C), bio9=average temperature of the driest quarter (°C), bio10=average temperature of the warmest quarter (°C), bio11=average temperature of the coldest quarter (°C), bio12=annual precipitation (mm/year), bio13=precipitation of the rainiest month (mm/month), bio14=precipitation of the driest month (mm/month), bio15=precipitation seasonality (coefficient of variation), bio16=precipitation of the wettest quarter (mm/quarter), bio17=precipitation of the driest quarter (mm/quarter), bio18=precipitation of the warmest quarter (mm/quarter), bio19=precipitation of the coldest quarter (mm/quarter). The names of each climatic surface correspond to the following: ene = January, feb = February, mar = March, abr = April, may = May, jun = June, jul = July, ago = August, sep = September, oct = October, nov = November, dic = December.
DOI: 10.5281/zenodo.6977154
title: Data from: high-resolution bioclimatic surfaces for southern Peru: an approach to climate reality for biological conservation

description: Climatic and bioclimatic surfaces were elaborated for southern Peru (Arequipa, Moquegua and Tacna). For the interpolations, meteorological information from in-situ stations, as well as orographic and geographic covariates were used. Statistical evaluations gave good results, showing some differences with other models also performed for the area. These data will contribute to a better understanding of the ecoclimatic requirements of the species in terms of ENMs and SDMs.
description: The following files are the result of the following article: High resolution bioclimatic surfaces for southern Peru: an approximation to the climatic reality for biological conservation. Here are 12 surfaces for maximum temperature, 12 for minimum temperature, 12 for average temperature, 12 for precipitation and 19 bioclimatic surfaces for the study area. Details of some of the published figures are also included. Where: Bios asc = 19 bioclimatic surfaces in .asc format. Bios tif = 19 bioclimatic surfaces in .tif format. Prec = 12 monthly precipitation surface in .tif format. Tave = 12 monthly mean temperature surface in .tif format. Tmax = 12 monthly maximum temperature surfaces in .tif format. Tmin = 12 monthly minimum temperature surfaces in .tif format. The names of the bioclimatic surfaces correspond to the following: bio1=average annual mean temperature (°C), bio2=average diurnal range (°C), bio3=isothermality, bio4=temperature seasonality (standard deviation), bio5=maximum temperature of the warmest month (°C), bio6=minimum temperature of the coldest month (°C), bio7=annual temperature range (°C), bio8=average temperature of the wettest quarter (°C), bio9=average temperature of the driest quarter (°C), bio10=average temperature of the warmest quarter (°C), bio11=average temperature of the coldest quarter (°C), bio12=annual precipitation (mm/year), bio13=precipitation of the rainiest month (mm/month), bio14=precipitation of the driest month (mm/month), bio15=precipitation seasonality (coefficient of variation), bio16=precipitation of the wettest quarter (mm/quarter), bio17=precipitation of the driest quarter (mm/quarter), bio18=precipitation of the warmest quarter (mm/quarter), bio19=precipitation of the coldest quarter (mm/quarter). The names of each climatic surface correspond to the following: ene = January, feb = February, mar = March, abr = April, may = May, jun = June, jul = July, ago = August, sep = September, oct = October, nov = November, dic = December.