cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13139/ornlnccs/1896716
title: Layer-wise Imaging Dataset from Powder Bed Additive Manufacturing Processes for Machine Learning Applications (Peregrine v2022-10)

description: This release consists of six datasets which together include multi-modal layer-wise powder bed images from two different powder bed printing technologies. These datasets are designed primarily to facilitate the development and testing of new computer vision and machine learning based anomaly and defect detection algorithms. The authors provide both training data with corresponding ground truth pixel masks and evaluation data with corresponding baseline prediction pixel masks made by a trained neural network. The laser powder bed fusion (L-PBF) datasets are sourced from EOS M290 and AddUp FormUp 350 printers and the binder jet (BJ) dataset is sourced from an ExOne M-Flex printer. The materials represented in these datasets include 17-4 PH Stainless Steel, DMREF, Inconel 718, Maraging Steel, and H13 Steel. The sensor imaging modalities represented include visible-light (VL), temporally-integrated (i.e., long duration exposure) near-infrared (TI-NIR), and wide-band infrared (IR). To download the dataset: 1. Create a Globus account. 2. Create a Globus Endpoint on your computer. 3. Transfer the dataset from the OLCF DOI-DOWNLOADS Collection to your Collection. Common troubleshooting steps: 1. Confirm that the transfer is going from OLCF DOI-DOWNLOADS to your Collection. 2. Create an exception for Globus in your antivirus software so that it can create an Endpoint. 3. Manually create a Globus access directory (where the data will be downloaded) by going to the Preferences &gt; Access tab.
DOI: 10.15468/dl.7ku59f
title: Occurrence Download

description: A dataset containing 1246 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nothofagus antarctica (G.Forst.) Oerst."
 ]
}

 The dataset includes 1246 records from 113 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051987-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hn4gbf
title: Occurrence Download

description: A dataset containing 865 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nothofagus pumilio (Poepp. & Endl.) Krasser"
 ]
}

 The dataset includes 865 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050339-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yhjxcu
title: Occurrence Download

description: A dataset containing 847 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Austrocedrus chilensis (D.Don) Pic.Serm. & Bizzarri"
 ]
}

 The dataset includes 847 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050338-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/gabofb
title: Global Register of Introduced and Invasive Species - Galápagos Islands, Ecuador

description: The Global Register of Introduced and Invasive Species (GRIIS) presents validated and verified checklists (inventories) of introduced (alien) and invasive alien species at the country, territory, and associated island level. Phase 1 of the project focused on developing validated and verified checklists of countries that are Party to the Convention on Biological Diversity (CBD). Phase 2 which is on-going, aims to achieve global coverage including non-party countries and all overseas territories of countries e.g. Netherlands, France and United Kingdom. Species belonging to all Kingdoms are covered as well as occurring in all Environment/systems. Country/ Territory/ Island checklists are reviewed and verified by networks of country or species experts. Verified checklists/ species records as well as those under review are presented on the online GRIIS website (www.griis.org). Individual species records are flagged with a ‘yes’ for verification. Only verified checklists/ species records are presented on the GBIF Portal. This annotated checklist is of introduced (alien) and invasive alien species known to occur in the Galapagos Islands of Ecuador. The introduced species database for Galapagos has been managed by the Charles Darwin Foundation (CDF) since it was formed and can be found on the CDF website under ‘dataZone’. This is a centralized database for species found in Galapagos and includes contributions from many researchers as well as staff from the Galapagos National Park Directorate, Galapagos Biosecurity Agency, Ministry of Agriculture and other local institutions. CDF is currently working on a new design for dataZone that will include new fields for introduced species to meet the requirements of CBD. The last review of invasive species in Galapagos was carried out ten years ago. Because of this, the list of invasive species in the checklist is not current. A review of invasive species will be conducted in 2019 using risk analysis tools.
DOI: 10.17632/58pf3xrc8f.2
title: Effect of lycopene on prostate cancer among native African men: A protocol for an open-label randomized clinical trial in Tanzania

description: The data contains all data collection tools for the study on the "Effect of lycopene on prostate cancer among native African men: A protocol for an open-label randomized clinical trial in Tanzania".
DOI: 10.17632/63myn5n4c8.1
title: hMDH1 Oxaloacetate Kinetic Data

description: Shown are fits to kinetic data of human cytoplasmic malate dehydrogenase (hMDH1), UniProt ID P40925, with constant concentration of NADH and varying concentrations of oxaloacetate (OAA). On the left, the data is fit to the classic Michaelis-Menten equation, and the determined values of kcat, Km, and kcat/Km are provided. The curve does not follow the data, so a modified equation using Hill coefficients is used to fit to the data, as shown to the right in the figure. This equation provides an exponent "n" to the substrate concentration and to Km in the Michaelis-Menten equation. The Km term is renamed to Khalf, but these would be equivalent if n=1.
DOI: 10.25318/3210020801-eng
title:  Land management improvements on farms

description: Land management improvements that have been installed on agricultural operations in the past five years, separated by farm production type, and by province, reference year 2017, available every 5 years.
DOI: 10.25451/flinders.25905433
title: <b>Sonic restoration: Acoustic stimulation enhances plant growth-promoting fungi activity</b>

description: This study investigated the role of acoustic stimulation on the growth rate of a plant growth-promoting fungi (Trichoderma harzianum). We applied 80 dB @ 8 kHz to Petri dishes with the fungal culture and showed that acoustic stimulation significantly increased sporulation.
DOI: 10.25810/jck1-hf50.32
title: United States Newspaper Coverage of Climate Change or Global Warming, 2000-2020 - November 2020

description: The Media and Climate Change Observatory Data monitors 120 sources (across newspapers, radio and TV) in 54 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.26093/cds/vizier.18340085
title: H{alpha} emission in nearby M dwarfs

description: VizieR online Data Catalogue associated with article published in journal Astronomical Journal (AAS) with title 'The H{alpha} emission of nearby M dwarfs and its relation to stellar rotation.' (bibcode: 2017ApJ...834...85N)
DOI: 10.34892/dvwq-4j45
title: Tree Cover in Mountain Regions
title: Percent Tree Cover in Mountain Regions 2002

description: The mountains dataset has been overlaid with a global data set on percent tree cover taken from MODIS 1-km resolution percent tree cover data, courtesy of University of Maryland Global Land Cover Facility. Species richness, density and forest height tend to reduce with increasing altitude; the boundary between forest vegetation and more open ground cover at higher elevation 'the treeline' is an ecological marker signifying the transition to more extreme climatic conditions.

Purpose: To provide a global context for a discussion of mountain forests, it is first necessary to define the locations and types of mountain forests, and this in turn requires a definition of mountains or mountain areas. Altitude and slope and the environmental gradients they generate are key components of such a definition, but their combination is problematic. Simple altitude thresholds both exclude older and lower mountain systems and include areas of relatively high elevation that have little topographic relief and few environmental gradients. Using slope as a criterion on its own or in combination with altitude can resolve the latter problem, but not the former. The mountains dataset shows the location of mountain land estimated from a digital elevation model using criteria based on elevation alone (the upper three classes: > 2 500 metres) and at lower elevation, on a combination of elevation, slope and local elevation range. This is an update of the Mountain's of the World 2000 and was produced for the UNEP-WCMC publication Mountain Watch, 2002.
DOI: 10.48577/jpl.6pt7w8
title: Dataset for "Vapor condensates on the most pristine black beads from a clod in Apollo drive tube 73001: Discovery of lunar NaCl nanocrystals"

description: JGR-Planet requires supporting data be deposited in a public accessible repository. For several line plots (plotting the elemental X-rays and their intensities) in my submitted paper, I need to deposit data used in the line plot in JOR.
DOI: 10.5067/lwtysmp3vm5z
title: GLDAS Noah Land Surface Model L4 monthly 1.0 x 1.0 degree, Version 2.1
DOI: 10.5281/zenodo.10577559
title: DFT datasets for training machine-learning potential to model lithium borosilicate glasses using DeePMD

description: Modifying ring structures in lithium borate glasses under compression: MD simulations using a machine-learning potential

Shingo Urata, Aik Rui Tan, and Rafael Gómez-Bombarelli

Phys. Rev. Materials 8, 033602 – Published 7 March 2024



DFT_DataSets.zip inlucudes atom configurations, energies, forces, box size, atom types, atom kinds, and virial in coord.raw, energy.raw, force.raw, type.raw, type_map.raw, and virial.raw, respectively. These data were divided into 10 sets in each forder named as set.000 to set.009.

All DFT data were evaluated using PBE with a cutoff energy of 600 eV by VASP.

SiO2-B2O3-Li2O.json is the input file for training DeePMD ver1.33.

SiO2-B2O3-Li2O.json is the optimized potential model of DeePMD.
DOI: 10.5281/zenodo.11517813
title: Output data for: Flammable Futures – Storylines of climatic impacts on wildfire events and palm oil plantations in Indonesia

description: This repository contains the output data associated with the publication "Flammable Futures – Storylines of climatic impacts on wildfire events and palm oil plantations in Indonesia". It contains the FLAM modeled burned area and the GLOBIOM output, as well as the a downscaling grid.

Descriptions of the results can be found in the publication (DOI will follow).
description: This study was supported by the RECEIPT project. RECEIPT received funding from the European Union’s Horizon 2020 Research and Innovation Programme under Grant agreement No. 820712
DOI: 10.5281/zenodo.12189101
title: Inducing Novel Endosymbioses by Bacteria Implantation into Fungi

description: The data in this repository was incorporated in the manuscript "Inducing Novel Endosymbioses by Bacteria Implantation into Fungi". The repository contains the original FACS data collected for the study, the GraphPad Prism file used to generate the plots and statistics, and the raw image data used in the figures, extended data figures, LC MS MS data, and SI Videos 1-4. The raw data for SI Videos 5-8 was too large and can be found in a second repository (10.5281/zenodo.12189101). A FlowJo workplace with approximate gating which was used for the analysis of the data to extract the numbers used in the study is also added. Note that the workplace had to be recreated to collect all the samples in the same workplace and the gating might have been slightly different for the initial analysis and may have yielded slight, if only minor changes in the exact output. The exact numbers used in the study can be found in the file Suppl Data Zenodo.xlsx and in the source data of the publication.
DOI: 10.5281/zenodo.12518583
title: Inducing Novel Endosymbioses by Bacteria Implantation into Fungi SI Vid 5-8

description: The data in this repository was incorporated in the manuscript "Inducing Novel Endosymbioses by Bacteria Implantation into Fungi". The repository contains the raw image data used in SI Videos 5-8. The main data for the publication can be found in another repository: 10.5281/zenodo.12189101
DOI: 10.5281/zenodo.7801755
title: Data for the manuscript "Ion-mediated condensation controls the mechanics of mitotic chromosomes"

description: Data accompanying the manuscript "Ion-mediated condensation controls the mechanics of mitotic chromosomes". Each folder contians data to one set of experiments together with scripts to analyse the data and produce plots.
DOI: 10.5522/04/26325382
title: Global 3D rocket launch and re-entry air pollutant and carbon dioxide emissions for 2020-2022

description: All data compiled are in NetCDF format. These include variables gathered from multiple data sources and cross-checked to obtain activity data needed to calculate air pollutant and carbon dioxide (CO<sub>2</sub>) emissions from rocket launches and object re-entries for 2020-2022. There are 4 types of data generated and provided in NetCDF files summarised below. A detailed description of data acquisition and cross-checking, the approach adopted to calculate mapped vertically resolved emissions, the emissions data validation, and a description of each of the variables in the files provided is in the Nature Scientific Data paper submitted for review.(1) Compiled and cross-checked launch activity data in <b>launch</b><b>_activity</b><b>_data</b><b>_2020-2022.nc.</b>(2) Compiled and cross-checked relevant information and characteristics of each rocket launched from 2020 to 2022 in <b>rocket</b><b>_attributes</b><b>_2020-2022.nc.</b>(3) Compiled and cross-checked details of each re-entering object from 2020 to 2022 in <b>reentry</b><b>_activity</b><b>_data</b><b>_2020-2022.nc</b>.(4) Compressed (*.tar.gz) files of 4 folders hosting the emissions. The 4 folders separate emissions into the different vertical and horizontal resolutions on which the emissions are gridded. The compressed files unzip from &lt;500 MB each to &gt;50 GB each and 606 GB total. The uncompressed files are daily files of hourly 3D gridded air pollutant and carbon dioxide (CO<sub>2</sub>) emissions provided for direct input to GEOS-Chem or other models with emissions processing packages that regrid the emissions to the model grid. Emissions files are categorised as associated with all mission types, with non-megaconstellation (nonsmc) missions only or megaconstellation (smc) missions only or all (all) missions and are provided as daily files with the filename convention "<b>byprodu</b><b>ct_emis</b><b>_{</b><b>mission</b><b>_type}</b><b>_{</b><b>horiz</b><b>_res}</b><b>_{</b><b>vert</b><b>_res}</b><b>_</b><b>Y</b><b>YYYMMDD.nc4</b>". There are 12 sets of daily files for 2020-2022, where { } are used as placeholders for "all", "nonsmc" or "smc" for {mission_type}, "4x5" for 4<sup>o</sup> latitude x 5<sup>o</sup> longitude or "2x25" for 2<sup>o</sup> latitude x 2.5<sup>o</sup> longitude for {horiz_res}, "47" for 47 layers up to 0.01 hPa (~80 km) or "72" for 72 layers up to the same altitude for {vert_res}.Code written in Python used to develop the emission inventory and to generate the NetCDF files is on Zenodo at https://zenodo.org/doi/10.5281/zenodo.13136856.
DOI: 10.6084/m9.figshare.25495303
title: Supplementary Material for: Current and Future Cost Burden of Ischemic Stroke in Australia: Dynamic Model

description: Background: Stroke remains one of the leading causes of morbidity and mortality in Australia. The objective of this study was to estimate the current and future cost burden of ischemic stroke (IS) in Australia. 

Method: First, chronic management costs following IS were derived for all people aged ≥ 30 years discharged from a public or private hospital in Victoria, Australia between July 2012 and June 2017 (n = 34 471). These costs were then used to project total costs following IS (combination of acute event and chronic management cost) over a 20-year period (2019-2038) for people aged between 30 and 99 years in Australia using a dynamic multistate lifetable model. Data for the dynamic model were sourced from the Victorian Admitted Episodes Dataset (VAED) and supplemented with other published data. 

Result: The estimated annual total chronic management cost following IS was 13 525 Australian dollars (AUD) per person (95%CI: AUD 13 380, AUD 13 670) for cohorts in the VAED between July 2012 and June 2017. The annual chronic management cost was estimated to decline following IS. The highest cost was incurred in the first year of follow-up post-IS (AUD 14 309 per person) and declined to AUD 9 776 in the sixth year of follow-up post-IS. The total healthcare cost for people aged 30-99 years was projected to be AUD 47.7 billion (95% UI: AUD 44.6 billion, AUD 51.0 billion) over the 20-year period (2019-2038) Australia-wide, of which 91.3% (AUD 43.6 billion) was attributed to chronic management costs and the remaining 8.7% (AUD 4.2 billion) were due to acute IS events. 

Conclusion: IS has and will continue to have a considerable financial impact in the next two decades on the Australian healthcare system. Our estimated and projected cost burden following IS provides important information for decision making in relation to IS.
DOI: 10.6084/m9.figshare.25592331
title: Supplementary Material for: Prognostic effects of RASSF1A, BRCA1, APC, and p16 promoter methylation in ovarian cancer: a meta-analysis

description: Introduction: DNA methylation plays an important role in the carcinogenesis, progression, and prognosis of various human cancers. RASSF1A, BRCA1, APC, and p16 are the frequently methylated genes among patients with ovarian cancer. Therefore, our study aimed to better determine the prognostic and cancer characteristics effects of RASSF1A, BRCA1, APC, and p16 promoter methylation in ovarian cancer patients.
Methods: Databases such as PubMed, Web of Science, EMBASE, CNKI, and WanFang were searched for published studies up to March 4, 2024. The outcomes are shown as OR and HR with their 95% CIs. Then, the random or fixed effect model was performed to evaluate the effect sizes.
Results: Finally, 27 articles were included in this meta-analysis. No significant relationships were observed between RASSF1A, BRCA1, and APC promoter methylation and the clinical prognostic (including overall survival and progression-free survival) and cancer characteristics (including ascites, lymph node metastasis, and pelvic peritoneal metastasis) in ovarian cancer. p16 promoter methylation was significantly related to poor PFS (HR=1.52, 95% CI=1.14 to 2.04) and OS (HR=1.39, 95% CI=1.06, to 1.83) in univariate, and poor PFS in multivariate Cox regression models (HR =1.42, 95% CI=1.05 to1.92). Besides, our results indicated that the clinical stage was associated with inferior OS while there was no significant association between tumor grade and OS.
Conclusion: RASSF1A, BRCA1, and APC promoter methylation were not significantly associated with clinical prognostic and cancer characteristics. P16 may be a useful biomarker for predicting PFS in ovarian cancer. Furthermore, the clinical stage was significantly associated with OS. In further research, more prospective and multicenter validation studies remain needed.
DOI: 10.6084/m9.figshare.25845412
title: Supplementary Material for: Enamel caries lesion depth obtained by optical coherence tomography and transverse microradiography: a comparative study

description: Introduction: Visual imaging of sub-surface caries lesions is of vital interest in dentistry, which can be obtained by invasive radiography-technique as well as by available non-destructive imaging approaches. Thus, as a first step towards the development of a new innovative approach, the Spectral-domain optical coherence tomography (SD-OCT) was applied to detect the lesion depth in comparison to the established reference technique (transverse microradiography, TMR). Methods: Bovine enamel specimens were demineralized for 5 days, following previous studies by Braga et al., [2021] and [2022]. For OCT, the resulting artificial lesions were scanned three-dimensionally (SD-OCT), and semiautomated measured (CarLQuant). For TMR, specimens were sectioned and the lesion depth was manually determined (Inspektor Research System). Results: The range of lesion depth detected with OCT was 24.0 to 174.0 µm (mouthrinses study, Braga et al., [2021]), 18.0 to 178.0 µm (toothpastes study) and with TMR 59.2 to 198.0 µm (mouthrinses study), 33.2 to 133.4 µm (toothpastes study, Braga et al., [2022]). We found a strong correlation between both methods in terms of lesion depth (Spearman rankwith outlier p&lt;0.001, Rho=0.75, Spearman rankwithout outlier p=0.001, Rho=0.79). The two methods produce similar results (Passing Bablok regression, 1.16). As deeper is the lesion, the smallest is the difference between both methods as indicated by Bland-Altman-plots. Conclusion: Especially in the case of deep lesions, the values obtained by both methods are in agreement, and OCT can potentially substitute TMR to detect and assess lesion depth with the benefit of being non-destructive.
DOI: 10.6084/m9.figshare.25966816.v1
title: Supplemental Tables for "Renal L-2-hydroxyglutarate dehydrogenase activity promotes hypoxia tolerance and mitochondrial metabolism in <i>Drosophila melanogaster"</i>

description: Supplemental Tables for "Renal L-2-hydroxyglutarate dehydrogenase activity promotes hypoxia tolerance and mitochondrial metabolism in <i>Drosophila melanogaster"</i>