cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/9cxx4c5gf6
title: Eukaryotes expansion into non-marine habitats prohibited by nitrogen limitation during the mid-Proterozoic

description: Total organic carbon (TOC, ppm), total nitrogen (TN, ppm), Al2O3 (wt%), P (ppm), Mo (ppm), δ13C (‰), δ15N (‰) and related ratios of samples from the Dagushi, Bingmagou, Baicaoping, and Puyu Formations are shown in the Table. Samples were collected along four formations from the Henan Province, China.
DOI: 10.17632/sm9t5s63rf
title: Dataset for "Counterintuitive Proposals for Trans-boundary Ecological Compensation Under ‘No Net Loss’ Biodiversity Policy"

description: The data is collected through a survey conducted in Denmark, Spain, and Ghana. 

Related Publication:
--------------------
Title: "Counterintuitive Proposals for Trans-boundary Ecological Compensation Under ‘No Net Loss’ Biodiversity Policy"
Authors: Joseph William Bull, Anna Lou Abatayo, and Niels Strange
Journal: Ecological Economics 142 (2019), pp. 185-193
 https://doi.org/10.1016/j.ecolecon.2017.06.010

Coverage:
---------
Spatial coverage:
The data was obtained from a survey in three countries: Denmark, Spain, and Ghana. Surveys in Denmark were ran at the University of Copenhagen, in Spain were ran at Pompeu Fabra University, and in Ghana at the University of Ghana. 

Temporal coverage:
The surveys were carried out in April 2016.


This dataset contains the following files:
 - A ReadMe document ("!ReadMe.txt")
 - A codebook ("~Codebook.txt")
 - One Stata DTA file ("data_wide.dta")
 - Four Stata Do-Files ("00 RunMe", "01 WideToLong", "02 SumStat", "03 tTest", "04Regression")

Methods, materials and software:
Stata/SE 13.2 for Apple
DOI: 10.17632/xxt96gs88k
title: Cutting simulation model for the article "Numerical chip formation analysis during high-pressure cooling in metal machining"

description: The used cutting simulation model is published in this database. After the simulation is terminated, the script Create_DataStruct.py can be executed to structure important output variables.
Related research article: "Numerical chip formation analysis during high-pressure cooling in metal machining" in CIRP Journal of Manufacturing Science and Technology, accepted on 2024.07.13 (Full reference will be added after publication)
DOI: 10.6084/m9.figshare.11339072.v1
title: MOESM11 of Epigenetic analysis of high and low motile sperm populations reveals methylation variation in satellite regions within the pericentromeric position and in genes functionally related to sperm DNA organization and maintenance in Bos taurus

description: Additional file 11. Differentially Methylated Regions (DMRs) found at least in three samples in both high motile (HM) and low motile (LM) sperm populations overlapping CpG islands (CGIs). In each column are reported: Probe name, position (Chromosome, Start, End), False Discovery Rate (FDR), Feature, protein ID, Description, MRs percentage for each sample (1HM, 2HM, 3HM, 4HM, 1LM, 2LM, 3LM, 4LM).
DOI: 10.6084/m9.figshare.3506822.v3
title: Iigaya et al PLoS ONE 2016 - Data for all sessions

description: The data_files.zip folder contains data for all 48 subjects as used in the Matlab analysis of Sessions 1-3. Each subject's data are in a separate excel file with the subject number (two digits) followed by _output as the filename. Each excel file contains 3 separate sheets as follows:<br>Sheet 1: Data from Session 1 (70 trials): ambig = ambiguity of the visual stimulus (see Methods section of paper); loss = threatened loss on each trial and wins = offered win (1= 0 pence; 2=10 pence; 3=20 pence; 4=30 pence etc.); choice = key pressed (1= SAFE key; 2 = REW key)<br>Sheet 2: Data from Session 2 (10 training trials - not analysed): key as for Sheet 1<br>Sheet 3: Data from Session 3 (250 trials): key as for Sheet 1<br>A separate excel file contains 'questionnaire data' (and is given this name). In this file: Subject = subject id; PleasantUnpleasant = treatment group (pl=pleasant, un=unpleasant); Questionnnaire data are identified by measure type (ValGrid= valence score on Affect Grid; ActGrid= activation score on Affect Grid; PA= positive activation on PANS; NA= negative activation on PANAS) and whether the measure was taken at baseline (pre), after Session 1 (during) or after Session 2 (post).
DOI: 10.6084/m9.figshare.6216302.v1
title: Supplementary Material for: Follow-Up for Resected Gastroenteropancreatic Neuroendocrine Tumours: A Practice Survey of the Commonwealth Neuroendocrine Tumour Collaboration (CommNETS) and the North American Neuroendocrine Tumor Society (NANETS)

description: <b><i>Objectives:</i></b> There is no consensus regarding optimal follow-up in resected gastroenteropancreatic neuroendocrine tumours (NETs). We aimed to perform a practice survey to ascertain follow-up patterns by health care practitioners and highlight areas of variation that may benefit from further quantitative research. <b><i>Methods:</i></b> A Web-based survey targeted at NET health care providers in Australia, New Zealand, Canada, and the USA was developed by a steering committee of medical oncologists and a research methodologist. Thirty-seven questions elicited information regarding adherence to guidelines, the influence of risk factors on follow-up, and the frequency and choice of modality in follow-up. <b><i>Results:</i></b> There were 163 respondents: 59 from Australia, 25 from New Zealand, 46 from Canada, and 33 from the USA (50% medical oncology, 23% surgery, 13% nuclear medicine, and 15% other). Thirty-eight percent of the respondents were “very familiar” with the NCCN NET guidelines, 33% with the ENETS guidelines, and 17% with the ESMO guidelines; however, only 15, 27, and 10%, respectively, found them “very useful”; 63% reported not using guidelines at their institution. The commonest investigations used were CT scans (66%) and chromogranin A (86%). The US respondents were more likely to follow patients up past 5 years, and the Australian respondents utilized more functional and less cross-sectional imaging. When poor prognostic factors were introduced, the respondents recommended more visits and tests. <b><i>Conclusions:</i></b> This large international survey highlights variation in current follow-up practices not well addressed by the current guidelines. More quantitative research is required to inform the development of evidence-based guidelines tailored to the pattern of recurrence in NETs.
DOI: 10.6084/m9.figshare.9962216.v4
title: Global high-resolution emissions of soil NOx, sea salt aerosols, and biogenic VOCs

description: The dataset provides monthly global emissions of soil NOx, sea salt aerosols, and biogenic VOCs at 0.5° lat. x 0.625° lon. for 1980—2017 and at three resolutions (0.25° lat. x 0.3125° lon., 2° lat. x 2.5° lon., and 4° lat. x 5° lon.) for 2014—2017. The dataset includes Soil NOx. The dataset considers two categories of SSAs based on their radii. The radius of accumulation mode sea salt aerosol (SALA) ranges from 0.01 to 0.5 μm, while that for coarse mode sea salt aerosol (SALC) ranges from 0.5 to 8 μm. The dataset includes 10 biogenic VOCs, including isoprene (ISOP), acetone (ACET), acetaldehyde (ALD<sub>2</sub>), ethane (C<sub>2</sub>H<sub>4</sub>), ethanol (EOH), propene (PRPE), lumped monoterpenes (MTPA), other monoterpenes (MTPO), limonene (LIMO), and sesquiterpenes (SESQ).<br>
DOI: 10.17632/d3by55pjh7
title: Bridge vibration monitoring dataset

description: Vibration tests were conducted on a steel truss bridge using five uniaxial accelerometers under various traffic conditions. The accelerometers used were uniaxial sensors that were connected to a data acquisition system, from which the data was transferred to a computer. Considering the flexibility of this bridge, a sampling frequency of 200Hz was used.
DOI: 10.17632/y25mff549s
title: Dataset describing the influence of preharvest gibberellic acid application on fruiting behavior, yield and fruit biochemical properties of rambutan (Nephelium lappaceum L.)

description: The dataset describes how gibberellic acid application at the mature panicles (inflorescence) during the pre-flowering and the early fruiting stages augments the fruit set and retention, fruit yield and post-harvest biochemical properties of rambutan, an exotic non-climacteric tropical fruits in Bangladesh. Gibberellic acid spray at six various concentrations from 0 ppm (control) to 500 ppm revealed that 200 to 300 ppm doses had superiority over the lower and higher doses for promoting the fruit yield and quality. More specifically, fruit set, fruit retention and yield exhibited the best at 300 ppm being consonant with 200 ppm, whereas GA3 doses from 200 ppm to 500 ppm performed similarly to enhance fruit physico-chemical qualities and shelf life of rambutan. Control treatment along with 50 ppm gibberellic acid dose demonstrated inferior results for yield and fruit quality improvement of rambutan.
DOI: 10.6084/m9.figshare.20859550.v1
title: ISP A: Conclusive Paris-Traceroute Dataset

description: Results of inconclusive Paris-Traceroute Measurement conducted to websites over ISP A's network.
DOI: 10.6084/m9.figshare.20976832.v1
title: Supplementary Material for: Rediscovering Allergic Rhinitis: The Use of a Novel mHealth Solution to Describe and Monitor Health-Related Quality of Life in Elderly Patients

description: <b><i>Introduction:</i></b> Allergic rhinitis (AR) is a disease characterized by IgE-mediated hypersensitivity responses akin to allergic asthma. Although common in children and young adults, AR can be particularly vexing in the elderly: several studies have underlined its impact on the patient’s self-perceived health-related quality of life (HR-QoL). Available literature data on AR-affected elderly patients remain sparse and often focused on specific characteristics. mHealth solutions such as MASK-air® can be used in assessing salient clinical characteristics and unique shifts in self-perceived HR-QoL in old age people. With this pilot study, we aim to assess these variables in two cohorts of AR-affected elderly patients – one actively involved in the daily use of mHealth applications and the other having never used such a solution – by applying a widespread, validated, and standardized tool. <b><i>Methods:</i></b> AR-affected patients aged ≥65 years accessing the outpatient clinic of the Bari Geriatric Immuno-allergology Unit between March and July 2021 were enrolled and assigned to “mHealth” (MASK-air®) and “non-mHealth” cohorts accordingly. Each participant was given a 19-item questionnaire delivered via a custom software solution, with the EuroQoL EQ-5D-5L used to assess HR-QoL. <b><i>Results:</i></b> 93 patients (51 mHealth users, 43 non-mHealth users) were enrolled. AR was often either standalone or associated with asthma and conjunctivitis, and 57.4% of the participants reported a negative influence of AR on daily activities. Analysis of HR-QoL showed significantly worse scores in mobility and anxiety/depression dimensions for female patients regardless of app usage, while male non-mHealth users had worse self-care scores. Female mHealth users had worse scores for the self-care and activity dimensions, whereas female non-mHealth users showed worse scores on the pain scale. In general, mHealth users showed a greater degree of anxiety/depression when compared to non-mHealth users, relating to a greater awareness of their health status. <b><i>Conclusion:</i></b> The use of an mHealth solution, along with a concise, clinically-validated, comprehensive HR-QoL assessment toolset such as the EQ-5D, can prove beneficial in defining the unique characteristics of AR in the elderly. It can enable a detailed exploration of the impact on specific aspects of quality of life in old age. Raising patient awareness towards a health condition can improve compliance to treatment as well as follow-up. A lack of uniformity in approach, along with missing data pertaining to the general population are critical issues that require further studies. A more thorough diffusion of mHealth usage is also necessary among the geriatric population.
DOI: 10.6084/m9.figshare.22010621.v1
title: Crustal anatexis and initiation of the continental-scale Chongshan strike-slip shear zone at the southeast Tibet plateau

description: Table S1. Summary of mineral assemblages, microstructures, and temperature data Table S2. Zircon U-Pb LA-ICP-MS data. Table S3. Major and trace element composition.
DOI: 10.6084/m9.figshare.28226690.v1
title: Authentic leadership_20250117.sav

description: A dataset covers an empirical study regarding how cognitive theory impacts the perceived level of the authentic leadership style.
DOI: 10.6084/m9.figshare.5722930
title: Bioclimates of Italy

description: The Worldwide Bioclimatic Classification System according to Rivas-Martínez (WBCS) is a bioclimatic classification that is widely used in vegetation science, geobotany, and landscape ecology. To date, only one complete WBCS map has been produced for Italy at the national scale. Here, we define two major updates to the WBCS map of Italy: improvements to the surface spatial accuracy for the climate, especially for precipitation; and detailed mapping of the Submediterraneity Index and its levels, which mainly characterize the ecotone area between the Mediterranean and the Temperate macrobioclimates. Finally, all WBCS units (i.e. macrobioclimates, bioclimatic variants, bioclimates, continentality types, bioclimatic belts) and the Submediterraneity Index are mapped on a scale of 1:2,500,000. These maps and the bioclimatic indices and monthly climatic surfaces are available here as raster data-sets (resolution, 900 m) and are useful for accurate bioclimatic diagnosis for the entire Italian territory. They will also support vegetation–environment relationship analysis, ecological modeling, and applied studies of climate change at the national scale.
DOI: 10.15468/dl.6qqvzt
title: Occurrence Download

description: A dataset containing 88527 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lathyrus latifolius L.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 88527 records from 1149 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013287-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28330067
title: <b>High-resolution gridded CO2 </b><b>and pollutant emission data from road traffic in Indian cities</b>

description: We present CHETNA-Road, a comprehensive 500-meter gridded city traffic emissions dataset for 15 Indian cities derived from street-level floating car data (FCD) based on GPS position and speed of individual vehicles. The dataset includes daily CO<sub>2</sub> and ten major pollutant emissions, namely nitrogen oxides (NOₓ), particulate matter (PM<sub>2.5</sub> and PM₁₀), carbon monoxide (CO), volatile organic compounds (VOC), methane (CH₄), nitrous oxide (N₂O), ammonia (NH₃), lead (Pb), and black carbon (BC). The emissions were computed using the COPERT model, which includes speed and vehicle-type dependent emission factors. Our dataset provides critical insights into India’s road traffic emissions and serves as a foundation for targeting congestion and pollution reduction strategies.
DOI: 10.6084/m9.figshare.28330067.v1
title: <b>High-resolution gridded CO</b><sub>2</sub><b> </b><b>and pollutant emission data from road traffic in Indian cities</b>

description: We present CHETNA-Road, a comprehensive 500-meter gridded city traffic emissions dataset for 15 Indian cities derived from street-level floating car data (FCD) based on GPS position and speed of individual vehicles. The dataset includes daily CO<sub>2</sub> and ten major pollutant emissions, namely nitrogen oxides (NOₓ), particulate matter (PM<sub>2.5</sub> and PM₁₀), carbon monoxide (CO), volatile organic compounds (VOC), methane (CH₄), nitrous oxide (N₂O), ammonia (NH₃), lead (Pb), and black carbon (BC). The emissions were computed using the COPERT model, which includes speed and vehicle-type dependent emission factors. Our dataset provides critical insights into India’s road traffic emissions and serves as a foundation for targeting congestion and pollution reduction strategies.
DOI: 10.6084/m9.figshare.28330067.v2
title: <b>High-resolution gridded CO2 </b><b>and pollutant emission data from road traffic in Indian cities</b>

description: We present CHETNA-Road, a comprehensive 500-meter gridded city traffic emissions dataset for 15 Indian cities derived from street-level floating car data (FCD) based on GPS position and speed of individual vehicles. The dataset includes daily CO<sub>2</sub> and ten major pollutant emissions, namely nitrogen oxides (NOₓ), particulate matter (PM<sub>2.5</sub> and PM₁₀), carbon monoxide (CO), volatile organic compounds (VOC), methane (CH₄), nitrous oxide (N₂O), ammonia (NH₃), lead (Pb), and black carbon (BC). The emissions were computed using the COPERT model, which includes speed and vehicle-type dependent emission factors. Our dataset provides critical insights into India’s road traffic emissions and serves as a foundation for targeting congestion and pollution reduction strategies.
DOI: 10.15468/dl.tsabd3
title: Occurrence Download

description: A dataset containing 1423 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Impatiens glandulifera",
 "Country is Denmark",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1423 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049872-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zmty83
title: Occurrence Download

description: A dataset containing 4618 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Impatiens glandulifera",
 "Country is Czechia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4618 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049871-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ujkdye
title: Occurrence Download

description: A dataset containing 26726932 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 26726932 records from 3095 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001901-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.31182274
title: Seasonal turnover and diet breadth shape long-term occurrence patterns of oil-collecting bees in the Brazilian Cerrado

description: Files containing bee records from the entomological collection of the University of Brasília and scriptsData files:<br>Original file "Centridini_UNB": all records of Centris and Epicharis between 1976 and 2023Original file "Centridini_hosts_Final": oil-host records available from literature.Intermediate file "Centridini_UNB_DF" : subset of "Centridini_UNB" records that were captured inside the Federal District onlyIntermediate file "Bees_Filtered": subset of Centridini_UNB_DF records that passed filtering settings and collection event column was added. Intermediate file "Bees_Common_decade": subset of "Bees_Filtered" records containing only "common" species and grouped into decadal bins.Intermediate file "Bees_Common_5Year": subset of "Bees_Filtered" records containing only "common" species and grouped into 5-year bins.Scripts:decade_based_clean &gt; script to filter and analyse data assuming a decadal binning5YearBins_based_clean &gt; script to filter and analyse data assuming a 5-year binning
DOI: 10.6084/m9.figshare.31182274.v2
title: Seasonal turnover and diet breadth shape long-term occurrence patterns of oil-collecting bees in the Brazilian Cerrado

description: Files containing bee records from the entomological collection of the University of Brasília and scriptsData files:<br>Original file "Centridini_UNB": all records of Centris and Epicharis between 1976 and 2023Original file "Centridini_hosts_Final": oil-host records available from literature.Intermediate file "Centridini_UNB_DF" : subset of "Centridini_UNB" records that were captured inside the Federal District onlyIntermediate file "Bees_Filtered": subset of Centridini_UNB_DF records that passed filtering settings and collection event column was added. Intermediate file "Bees_Common_decade": subset of "Bees_Filtered" records containing only "common" species and grouped into decadal bins.Intermediate file "Bees_Common_5Year": subset of "Bees_Filtered" records containing only "common" species and grouped into 5-year bins.Scripts:decade_based_clean &gt; script to filter and analyse data assuming a decadal binning5YearBins_based_clean &gt; script to filter and analyse data assuming a 5-year binning
DOI: 10.6084/m9.figshare.31182274.v1
title: Museum data

description: Files containing bee records from the entomological collection of the University of Brasília and scriptsData files:<br>Original file "Centridini_UNB": all records of Centris and Epicharis between 1976 and 2023Original file "Centridini_hosts_Final": oil-host records available from literature.Intermediate file "Centridini_UNB_DF" : subset of "Centridini_UNB" records that were captured inside the Federal District onlyIntermediate file "Bees_Filtered": subset of Centridini_UNB_DF records that passed filtering settings and collection event column was added. Intermediate file "Bees_Common_decade": subset of "Bees_Filtered" records containing only "common" species and grouped into decadal bins.Intermediate file "Bees_Common_5Year": subset of "Bees_Filtered" records containing only "common" species and grouped into 5-year bins.Scripts:decade_based_clean &gt; script to filter and analyse data assuming a decadal binning5YearBins_based_clean &gt; script to filter and analyse data assuming a 5-year binning
DOI: 10.15468/dl.4hmh3f
title: Occurrence Download

description: A dataset containing 31120 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Parthenium hysterophorus"
 ]
}

 The dataset includes 31120 records from 343 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005513-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.