cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/m2hrjx846g.4
title: Data for "Promoting inclusion and equity in higher education: Is this the role of distance learning in Brazil?"

description: The study investigates how distance learning higher education (DLHE) has rapidly evolved in enrollments, considering whether promotes inclusion, equity, and quality education following Sustainable Development Goal 4 and the Brazilian Plan of Education (PNE). The data was extracted and compiled from public and private organizations between 2008-2018; a continuous period of growth in student enrollments in higher education institutions (HEI). Original documental data derived from the following organizations: (1) Ministry of Education of Brazil - National Institute of Educational Studies and Research Anísio Teixeira (INEP) - Synopses Statistics of Higher Education in the period 2008-2018; (2) Ministry of Economy of Brazil - Brazilian Institute of Geography and Statistics (IBGE) - National Household Sample Survey (Continuous PNAD) in the period 2008-2018; (3) Brazilian Distance Education Association (ABED) - ABED Distance Education Census in the period 2008-2018 - Annual distance learning analytical report in Brazil; (4) Hoper Educação - Sectorial Analysis of Private Higher Education Brazil/2019. The data compiled was organized in MS Excel spreadsheets labeled as follows: spreadsheet 1 - evolution in the number of undergraduate enrollments, total, public, private, DL, on-campus. spreadsheet 2 - HEDL institutions, public and private enrollments, and type of capital. spreadsheet 3 - Private institutions market share and top-six institutions in enrollments. spreadsheet 4 - Evolution of private and public HEDL institutions spreadsheet 5 -Evolution of Brazilian HEI spreadsheet 6 - All public and private academic degrees spreadsheet 7 - All DL courses and top 10 enrollments spreadsheet 8 - Ticket costs from different data source: Hoper Educação (2019); ABED (2019); Institutional Websites; and JP Morgan report. spreadsheet 9 - Number of Distance learning centers. spreadsheet 10 - Total HE enrollments on-campus and DL by age groups. spreadsheet 11 - Regulatory framework of DLHE
DOI: 10.17632/hy2hm9sz4f.1
title: LINF_030009100

description: 60S acidic ribosomal protein P2 | P2c; Leishmania infantum
DOI: 10.17632/wj6krw8mwc.1
title: LINF_150019500

description: 60S acidic ribosomal protein P2 | P2b; Leishmania infantum
DOI: 10.17632/t7hvztbzw9.1
title: LINF_150019600

description: 60S acidic ribosomal protein P2 | P2b; Leishmania infantum
DOI: 10.17632/8nswbzsmzc.1
title: LINF_210019900

description: Ribosomal protein L1p/L10e; Leishmania infantum
DOI: 10.17632/ksbvg5ptbp.1
title: LINF_360081200

description: Ribosomal protein L1p/L10e family; Leishmania infantum
DOI: 10.17632/t4gg3mtwv9.1
title: LINF_140006400

description: ribosomal protein L7/L12; Leishmania infantum
DOI: 10.17632/vsx4r495jj.1
title: LINF_100011800

description: glycerol-3-phosphate dehydrogenase [NAD+] - glycosomal; Leishmania infantum
DOI: 10.17632/46wyt2x2yr.1
title: LINF_100012400

description: zinc binding dehydrogenase-like protein; Leishmania infantum
DOI: 10.17632/g2ghpnf4zk.1
title: Snapshots of native pre-50S ribosomes reveal a biogenesis factor network and evolutionary specialization

description: original files of images shown in the paper "Snapshots of native pre-50S ribosomes reveal a biogenesis factor network and evolutionary specialization", https://doi.org/10.1016/j.molcel.2021.02.006
DOI: 10.17632/x78bmwrhhs.1
title: LINF_100012500

description: zinc binding dehydrogenase-like protein; Leishmania infantum
DOI: 10.5281/zenodo.4569279
title: The lookup table

description: The lookup table has two folders:<br> (1)diffuse_tile_factor Column name naming rules: "slope" string prefixes and the value is slope;<br> The range of slope is from 0 to 90.<br> (2)direct_tile_factor<br> File naming convention: <br> "latitude_-55_slope_30.xlsx": "latitude_" string is latitude prefix, and the value "-55" is latitude; "slope_" string is slope prefix, and the value "30" is slope;<br> Column name naming rules: "solar_dec_" string is prefix, and the value is solar declination;<br> The range of solar declination is from -23 to 23.<br> row name naming rules: aspect<br> The range of aspects is from -1 to 360. PLEASE NOTE:<br> (1)In order to make the look-up table more concise, the step length of latitude, slope, aspect, and solar declination are both 1 degree.<br> (2)Regarding the calculation method of the tilt factor, I have a python code, if necessary, you can contact me by email at liuguobo100@126.com
DOI: 10.5281/zenodo.4569278
title: The lookup table

description: The lookup table has two folders:<br> (1)diffuse_tile_factor Column name naming rules: "slope" string prefixes and the value is slope;<br> The range of slope is from 0 to 90.<br> (2)direct_tile_factor<br> File naming convention: <br> "latitude_-55_slope_30.xlsx": "latitude_" string is latitude prefix, and the value "-55" is latitude; "slope_" string is slope prefix, and the value "30" is slope;<br> Column name naming rules: "solar_dec_" string is prefix, and the value is solar declination;<br> The range of solar declination is from -23 to 23.<br> row name naming rules: aspect<br> The range of aspects is from -1 to 360. PLEASE NOTE:<br> (1)In order to make the look-up table more concise, the step length of latitude, slope, aspect, and solar declination are both 1 degree.<br> (2)Regarding the calculation method of the tilt factor, I have a python code, if necessary, you can contact me by email at liuguobo100@126.com
DOI: 10.5063/hx1b38
title: Tidal wetland monitoring parameter data at the Southern Flow Corridor tidal wetland restoration project, Tillamook Bay, OR, 2013-2018. II: Additional hydrology data

description: The Southern Flow Corridor (SFC) project implemented in 2016 in southern Tillamook Bay, Oregon is one of the largest tidal wetland restoration projects in the Pacific Northwest. We monitored a range of abiotic and biotic parameters before and after restoration implementation at SFC and in reference tidal wetlands in Tillamook Bay. This dataset is complementary to an earlier data release in 2020 for Tillamook Bay, and includes additional information on channel water level, temperature, and salinity from pre- and post-restoration monitoring (2013-2015 and 2017-2018), and groundwater water levels, temperature, and salinity from the post-restoration monitoring period.
DOI: 10.6084/m9.figshare.13683658
title: Onepoto2018_Tephra_Rotoma-Eg4

description: Excel spreadsheet containing glass analysis data for the 2018 Onepoto lake sediment core. The data contains results for the following tephra beds:<br>RotomaWaiohau<b></b>Rotorua<b></b>Rerewhakaaitu<b></b>Okareka<b></b>Kawakawa/Oruanui<b></b>OkaiaHauparuMaketuTahunaRotoehu<b></b>Eg4<b></b><br>
DOI: 10.6084/m9.figshare.13683658.v5
title: Onepoto2018_Tephra_Rotoma-Eg4

description: Excel spreadsheet containing glass analysis data for the 2018 Onepoto lake sediment core. The data contains results for the following tephra beds:<br>RotomaWaiohau<b></b>Rotorua<b></b>Rerewhakaaitu<b></b>Okareka<b></b>Kawakawa/Oruanui<b></b>OkaiaHauparuMaketuTahunaRotoehu<b></b>Eg4<b></b><br>
DOI: 10.6084/m9.figshare.13683658.v4
title: Onepoto2018_Tephra_Rotoma-Eg4

description: Excel spreadsheet containing glass analysis data for the 2018 Onepoto lake sediment core. The data contains results for the following tephra beds:<br>RotomaWaiohau<b></b>Rotorua<b></b>Rerewhakaaitu<b></b>Okareka<b></b>Kawakawa/Oruanui<b></b>OkaiaHauparuMaketuTahunaRotoehu<b></b>Eg4<b></b><br>
DOI: 10.6084/m9.figshare.13683874
title: AMS radiocarbon ages for the 2018 Onepoto lake sediment record

description: AMS radiocarbon ages from the Onepoto maar lake sediment record. Ages calibrated against SHCal20 (Hogg et al., 2020) in Oxcal version 4.4; Bronk Ramsey, 2009a.<br>
DOI: 10.6084/m9.figshare.13683874.v1
title: AMS radiocarbon ages for the 2018 Onepoto lake sediment record

description: AMS radiocarbon ages from the Onepoto maar lake sediment record. Ages calibrated against SHCal20 (Hogg et al., 2020) in Oxcal version 4.4; Bronk Ramsey, 2009a.<br>
DOI: 10.6084/m9.figshare.13109481
title: Raw Data, Processing Code, PLSR Model, Correction Factors, and Clean Data of Hyperspectral Heather Measurements and Expert Classification of RGB Images

description: We developed an experimental procedure for hyperspectral measurements of heather plants and classification of hyperspectral data using a PLSR (Partial Least Squares Regression) model. Here we provide our full data set including hyperspectral signatures of healthy, stressed, and dead heathers (<i>Calluna vulgaris</i>, variety: Sanne) measured from the cutting to the young plant stage (26.03.2019 - 18.06.2019). The visual classification of each heather plant at each measurement day was performed by two experts, the position and vitality status of each plant is given in the excel files (Expert Classification.xlsx). Results from our root test approach are given in the pdf file (Root_Test_Results.pdf). The hyperspectral data includes raw data (Raw Data.zip), calculated correction factors (Correction_factors.txt) and the processed data (Clean Data.zip). In addition, we provide the developed R-code for application of the PLSR model and the code for data processing with all necessary functions (Calluna_Code.zip), which includes the correction of the spatial heterogenity of the illumination conditions using a white reference sheet that was spectrally characterized by spectral laboratory measurements to calculate correction coefficients. The data processing procedure to compensate for the spatial heterogenity of the illumination conditions and defined regions of interest per plant as well as a step-by-step explanation of the code and PLSR model results are explained in our manuscript: Hyperspectral imaging for high-throughput vitality monitoring in ornamental plant production, authored by Ruett M, Junker-Frohn LV, Siegmann B, Jaenicke H, Whitney C, Luedeling E, Tiede-Arlt P, and Rascher U. We do not provide support for further data processing.
DOI: 10.6084/m9.figshare.13109481.v4
title: Raw Data, Processing Code, Correction Factors, and Clean Data of Hyperspectral Heather Measurements and Expert Classification of RGB Images

description: We developed an experimental procedure for hyperspectral measurements of heather plants. Here we provide our full data set including hyperspectral signatures of healthy, stressed, and dead heathers (<i>Calluna vulgaris</i>, strain: Sanne) measured from the cutting to the young plant stage (26.03.2019 - 18.06.2019). The classification of each heather plant at each measurement day was performed by two experts, the position and vitality status of each plant is given in the excel files (Expert Classification.xlsx). Results from our root test approach are given in the pdf file (Root_Test_Results.pdf). The hyperspectral data includes raw data (Raw Data.zip), calculated correction factors (Correction_factors.txt) and the processed data (Clean Data.zip). In addition, we provide the developed R-code for data processing with all necessary functions (Calluna_Code.zip), which includes the correction of the spatial heterogenity of the illumination conditions using a white reference sheet that was spectrally characterized by spectral laboratory measurements to calculate correction coefficients. The data processing procedure to compensate for the spatial heterogenity of the illumination conditions and defined regions of interest per plant as well as a step-by-step explanation of the code is explained in our manuscript: Hyperspectral imaging for high-throughput vitality monitoring in ornamental plant production, authored by Ruett M, Junker-Frohn LV, Siegmann B, Jaenicke H, Whitney C, Luedeling E, Tiede-Arlt P, and Rascher U. We do not provide support for further data processing.
DOI: 10.6084/m9.figshare.14134163.v1
title: The GeoChip data of microbial arsenic detoxification functional genes in paddy soil

description: Microbial arsenic detoxification functional genes in paddy soil. 429 paddy soil samples from 39 long-term paddy fields across China.
DOI: 10.6084/m9.figshare.14134163
title: The GeoChip data of microbial arsenic detoxification functional genes in paddy soil

description: Microbial arsenic detoxification functional genes in paddy soil. 429 paddy soil samples from 39 long-term paddy fields across China.
DOI: 10.5281/zenodo.4563291
title: Submission to Special Issue of Quantitative Science Studies "Scientific Knowledge Graphs and Research Impact Assessment"

description: To be added
DOI: 10.25440/smu.14132717.v1
title: Data from: Climate risks and market efficiency

description: This is the accompanying data for Hong, H., Li, W., & Xu, J. (2018). Climate risks and market efficiency. <i>Journal of Econometrics</i>, 208 (<i>1</i>), 265-281. https://doi.org/10.1016/j.jeconom.2018.09.015<br>Detailed dataset description can be found in the published paper. <br>Climate science finds that the trend towards higher global temperatures exacerbates the risks of droughts. We investigate whether the prices of food stocks efficiently discount these risks. Using data from thirty-one countries with publicly-traded food companies, we rank these countries each year based on their long-term trends toward droughts using the Palmer Drought Severity Index. A poor trend ranking for a country forecasts relatively poor profit growth for food companies in that country. It also forecasts relatively poor food stock returns in that country. This return predictability is consistent with food stock prices underreacting to climate change risks.<br>
DOI: 10.25440/smu.14132717
title: Data from: Climate risks and market efficiency

description: This is the accompanying data for Hong, H., Li, W., & Xu, J. (2018). Climate risks and market efficiency. <i>Journal of Econometrics</i>, 208 (<i>1</i>), 265-281. https://doi.org/10.1016/j.jeconom.2018.09.015<br>Detailed dataset description can be found in the published paper. <br>Climate science finds that the trend towards higher global temperatures exacerbates the risks of droughts. We investigate whether the prices of food stocks efficiently discount these risks. Using data from thirty-one countries with publicly-traded food companies, we rank these countries each year based on their long-term trends toward droughts using the Palmer Drought Severity Index. A poor trend ranking for a country forecasts relatively poor profit growth for food companies in that country. It also forecasts relatively poor food stock returns in that country. This return predictability is consistent with food stock prices underreacting to climate change risks.<br>
DOI: 10.6084/m9.figshare.12966323
title: Pesticide mixtures in soil: a global outlook

description: This data set includes four global maps of aggregated pesticides: (1) the total pesticide content in the topsoil of global croplands expressed in the unit of mg/kg-soil; (2) the number of pesticides detected in the topsoil; (3) the pesticide leaching rate to below the root zone expressed in the unit of mg/m<sup>2</sup>/year; and (4) the number of pesticides that exceeded a leaching rate of 1 mg/m<sup>2</sup>/year. This data set also includes two zip folders containing the topsoil residue and leaching rate of individual pesticide substances in nine different cropping systems. The surface area of the nine cropping systems can be obtained from the PEST-CHEMGRIDS dataset (Maggi et al., 2019). <br> A zip folder containing an example of input files required to run the model is attached together with this data set. Details of the methods used to produce these maps and the tabulated data can be found in Tang F.H.M and Maggi F. (2021). Pesticide mixtures in soil: a global outlook, Environmental Research Letters.<br>
DOI: 10.6084/m9.figshare.12966323.v1
title: Pesticide mixtures in soil: a global outlook

description: Four global maps are included in this data set: the first is the total pesticide content in the topsoil of global croplands expressed in the unit of mg/kg-soil; the second is the number of pesticides detected in the topsoil; the third is the pesticide leaching rate to below the root zone expressed in the unit of mg/m<sup>2</sup>/year; and the fourth is the number of pesticides that exceeded a leaching rate of 1 mg/m<sup>2</sup>/year. <br>A zip folder containing an example of input files required to run the model is attached together with thisdata set. <br>Details of the methods used to produce these maps and the tabulated data can be found in Tang F.H.M and Maggi F. (2020). Pesticide mixtures in soil: a global outlook, submitted to Environmental Research Letters.
DOI: 10.6084/m9.figshare.14134210
title: Genomic / transcriptomic ressources from Inference of DNA methylation patterns in molluscs

description: Overview of publicly available transcriptomic and genomic data used in the present study
DOI: 10.6084/m9.figshare.14134210.v1
title: Genomic / transcriptomic ressources from Inference of DNA methylation patterns in molluscs

description: Overview of publicly available transcriptomic and genomic data used in the present study
DOI: 10.6084/m9.figshare.12234557.v1
title: Risk assessment of work resumption amid Covid-19 in Beijing

description: Novel coronavirus (COVID-19) is a new strain of coronavirus first identified in Wuhan, China. As the virus has spread worldwide, China has reduced transmission at a considerable social and economic cost. To minimize the harm to society caused by the lockdown, resuming work safely post-pandemic is a major issue. As the capital of China, Beijing hosts many residents and workers with origins elsewhere, making it a high-risk region in which to resume work. To avoid a second significant outbreak of COVID-19, we simulate the evolution of the pandemic under different stages of resuming work. The transmission model is developed from a modified SEIR model for SARS tailored to the situation of Beijing with the involvement of multi-source data. Because of the strong heterogeneity of population, socio-economic factors and medical capacity of Beijing, the risk assessment is produced spatiotemporally with respect to each district of Beijing. The result suggests that resuming work step by step in Beijing would not bring about a recurrence of the pandemic. However, at different stages of resuming work, special attention should be paid to different parts in Beijing. The proposed relevant pandemic-prevention measures will provide valuable insights for other cities or regions dealing with the outbreak of COVID-19.
DOI: 10.6084/m9.figshare.12234557
title: Risk assessment of work resumption amid Covid-19 in Beijing

description: Novel coronavirus (COVID-19) is a new strain of coronavirus first identified in Wuhan, China. As the virus has spread worldwide, China has reduced transmission at a considerable social and economic cost. To minimize the harm to society caused by the lockdown, resuming work safely post-pandemic is a major issue. As the capital of China, Beijing hosts many residents and workers with origins elsewhere, making it a high-risk region in which to resume work. To avoid a second significant outbreak of COVID-19, we simulate the evolution of the pandemic under different stages of resuming work. The transmission model is developed from a modified SEIR model for SARS tailored to the situation of Beijing with the involvement of multi-source data. Because of the strong heterogeneity of population, socio-economic factors and medical capacity of Beijing, the risk assessment is produced spatiotemporally with respect to each district of Beijing. The result suggests that resuming work step by step in Beijing would not bring about a recurrence of the pandemic. However, at different stages of resuming work, special attention should be paid to different parts in Beijing. The proposed relevant pandemic-prevention measures will provide valuable insights for other cities or regions dealing with the outbreak of COVID-19.
DOI: 10.6084/m9.figshare.14134196
title: Supplementary Material for: Estimating the Odds of Ulcerative Colitis-Associated Pyoderma Gangrenosum: A Population-Based Case-Control Study

description: <b><i>Background:</i></b> Ulcerative colitis (UC) is a well-known underlying comorbidity of pyoderma gangrenosum (PG). However, the risk conferred by UC for the subsequent development of PG is yet to be elucidated. We aimed to estimate the magnitude of the association between UC and the subsequent occurrence of PG, which would enable us to assess the odds of PG developing in individuals with a history of UC. <b><i>Methods:</i></b> A population-based case-control study was conducted to compare PG patients (<i>n</i> = 302) and age-, sex- and ethnicity-matched control subjects (<i>n</i> = 1,497) regarding the presence of UC. Logistic regression models were utilized for univariate and multivariate analyses. <b><i>Results:</i></b> The prevalence of preexisting UC was greater in patients with PG than in controls (7.3 vs. 0.5%; <i>p</i> &lt; 0.001). A 15-fold increase in the odds of PG in individuals with preexisting UC was observed (OR 14.62, 95% CI 6.45–33.18). The greatest risk of developing PG occurred in the first years following the diagnosis of UC (OR 35.50, 95% CI 4.35–289.60), and decreased thereafter to 10.03 (95% CI 1.83–55.03), 6.69 (95% CI 1.49–30.02), and 10.03 (95% CI 1.83–55.03) at 1–5, 5–10, and 10–15 years after the diagnosis of UC, respectively. This association retained its statistical significance following the adjustment for confounding factors (adjusted OR 10.78, 95% CI 4.55–25.52). Patients with both PG and UC were younger and had a lower prevalence of smoking than the remaining patients with PG. <b><i>Conclusions:</i></b> UC increases the odds of developing PG by 15-fold, with the highest probability of developing PG occurring within the first year after the diagnosis of UC. Patients with UC may be advised to avoid additional precipitating factors for the development of PG.
DOI: 10.21227/4r5e-p624
title: fuzz-ieee competition on explainabe energy prediction

description: 1000Wh
DOI: 10.14278/rodare.820
title: Spatially resolved Eu(III) environments by chemical microscopy

description: Archiv of research data for the manuscript
DOI: 10.14278/rodare.819
title: Spatially resolved Eu(III) environments by chemical microscopy

description: Archiv of research data for the manuscript
DOI: 10.5519/qd.ebb1zjv5
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (0 records)