cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3922262
title: Extreme model exploration of a multi-scale simulation of tumor growth

description: The dataset comprises the output of several simulations of a model of tumor growth with different parameter values. The model is a multi-scale agent-based model of a tumor spheroid that is treated with periodic pulses of the cytokine tumor necrosis factor (TNF). The multi-scale model simulates processes including i) the diffusion, uptake, and secretion of molecular entities such as oxygen, or TNF; ii) the mechanical interaction between cells; and iii) cellular processes including cell life cycle, cell death models, signal transduction. The multi-scale model was implemented and simulated using the PhysiBoSS framework (Letort et al. 2019). The dataset corresponds to different simulations trajectories obtained for alternative parameter values. The parameter explored are: i) the decay rate of the TNF after it binds the cell; ii) the TNF binding rate; and iii) the TNF secretion rate by NFkB activated cells. The dataset includes 48 different combinations of parameters. Each simulation is stored in a folder instance_[0-9]+ which includes the PhysiBoSS standard output files (https://github.com/gletort/PhysiBoSS/wiki). The root folder also includes other settings, logs, and outputs as well as the binary used to run the simulation.
DOI: 10.17632/mg9cpfcb6v.1
title: Data for: Wavelet Group Method of Data Handling for Fault Prediction in Electrical Power Insulators

description: Original signal from ultrasound equipment.
DOI: 10.5066/f7z31ww4
title: Dataset for 2013 Creek Fire Research Points, Pre- and Post-Fire Data

description: The practice of fire suppression across the western United States over the past century has led to dense forests, and when coupled with drought has contributed to an increase in large and destructive wildfires. Forest management efforts aimed at reducing flammable fuels through various fuel treatments can help to restore frequent fire regimes and increase forest resilience. Our research examines how different fuel treatments influenced burn severity and post-fire vegetative stand dynamics on the San Carlos Apache Reservation, in east-central Arizona, U.S.A. Our methods included the use of multitemporal remote sensing data and cloud computing to evaluate burn severity and post-fire vegetation conditions as well as statistical analyses. We investigated how forest thinning, commercial harvesting, prescribed burning, and resource benefit burning (managed wildfire) related to satellite measured burn severity (the difference Normalized Burn Ratio dNBR) following the 2013 Creek Fire and used spectral measures of post-fire stand dynamics to track changes in land surface characteristics (i.e., brightness, greenness and wetness). This dataset includes all of the attribute information for each point, including if the location of the point intersects a treatment type or combination of treatments as well as a KML file showing the location of each point.
DOI: 10.5281/zenodo.3895038
title: msr2020_new_pullreq

description: This is the dataset for MSR 2020 data showcase paper <em>"On the Shoulders of Giants: A New Dataset for Pull-based Development Research"</em>.<br> This paper presents a new dataset containing 96 features collected from 11,230 projects and 3,347,937 pull requests.
DOI: 10.5281/zenodo.3700595
title: msr2020_new_pullreq

description: This is the dataset for MSR 2020 data showcase paper <em>"On the Shoulders of Giants: A New Dataset for Pull-based Development Research"</em>.
DOI: 10.5066/f7m044c9
title: Grand Canyon Whitewater Boater Data, Temporal Stability of Willingness to Pay Values

description: These data were complied for the primary analysis underlying the resuts presented in Neher et al., Testing the Limits of Temporal Stability: Willingness to Pay Values Among Grand Canyon Whitewater Boaters across Decades. The data is a combination of data collected for a 1985 survey of private party Grand Canyon boaters, and a 2015 replication survey for that same recreational user group. The excel file contains the core dichotomous choice contingent valuation questions and responses from the two (1985 and 2015) surveys. A series of indicator variables are used to delineate the underlying survey source (1985 or 2015 data) and the flow level presented to respondents (5000, 13,000 22,000 or 40000 cfs) The CV bid levels for the 2015 survey data have been deflated using the CPI-u to be consistent with the 1985 price levels. Bid levels from the 2015 survey data (IDs 1000-1414) may be reinflated to 2015 $ by multiplying them by 2.2177 (CPI-u (2015) / CPI-u (1985)). The purpose of these data are to 1) provide a current estimate of the (2015) willingness to pay by Grand Canyon private party boaters for their most recent trip down the whitewater stretch of the Colorado River, and 2) to compare that estimated WTP to the same metric estimated based on independent data for the same resource and user group from 30 years earlier (1985). The 2015 survey was designed to provide an exact replication of the earlier 1985 survey, both in survey format and in question wording. These data are associated with the journal manuscript: Neher, C., Duffield, J., Bair, L., Patterson, D., and Neher, K., 2017, Testing the Limits of Temporal Stability: Willingness to Pay Values Among Grand Canyon Whitewater Boaters across Decades: Water Resources Research, v. (online), doi:10.1002/2017WR020729.
DOI: 10.5281/zenodo.3862630
title: msr2020_new_pullreq

description: This is the dataset for MSR 2020 data showcase paper <em>"On the Shoulders of Giants: A New Dataset for Pull-based Development Research"</em>.
DOI: 10.5281/zenodo.3862710
title: msr2020_new_pullreq

description: This is the dataset for MSR 2020 data showcase paper <em>"On the Shoulders of Giants: A New Dataset for Pull-based Development Research"</em>.
DOI: 10.5281/zenodo.3922330
title: ACEP1

description: Exp-DEMs_512by512 : Zip file contains experimental dems. Natural_DEM_FL : Contains natural dem data of Florida basin. Natural_DEM_WA : Contains natural dem data of Washington basin.
DOI: 10.5281/zenodo.3922329
title: ACEP1

description: Exp-DEMs_512by512 : Zip file contains experimental dems. Natural_DEM_FL : Contains natural dem data of Florida basin. Natural_DEM_WA : Contains natural dem data of Washington basin.
DOI: 10.14469/hpc/3240
title: ClMe3 Wiberg

description: Gaussian Calculation
DOI: 10.14469/hpc/3241
title: ClMe3 Wiberg

description: Gaussian Calculation
DOI: 10.14469/hpc/3242
title: ClMe3 WFN

description: Gaussian Calculation
DOI: 10.5281/zenodo.1045011
title: Catalogue of Letters on Amaravati in the British Museum 1880-1889

description: Catalogue of Letters on Amaravati in the British Museum 1880-1889
description: Letters in the Department of Asia, British Museum, London
DOI: 10.7910/dvn/krbqht/1nh8if
title: MEDreplication.tab

description: :unav
DOI: 10.5287/bodleian:jngqgx690
title: Dataset for 'Quantitative CEST Imaging of Amide Proton Transfer in Acute Stroke'

description: Dataset of comparative data (6 quantification techniques) used in quantitative CEST imaging of amide proton transfer in acute stroke.
DOI: 10.5281/zenodo.3922368
title: Influencing Dutch consumer behaviour with sustainable food products

description: Raw dataset for the research "Influencing Dtuch consumer behaviour with sustainable food products" Erasmus University of Economics
DOI: 10.5281/zenodo.3922367
title: Influencing Dutch consumer behaviour with sustainable food products

description: Raw dataset for the research "Influencing Dtuch consumer behaviour with sustainable food products" Erasmus University of Economics
DOI: 10.5281/zenodo.3922541
title: Raw dataset Influencing Dutch consumer behaviour with sustainable food products

description: Raw dataset for the study: "Influencing Dutch consumer behaviour with sustainable food products" Erasmus University
DOI: 10.5281/zenodo.3922540
title: Raw dataset Influencing Dutch consumer behaviour with sustainable food products

description: Raw dataset for the study: "Influencing Dutch consumer behaviour with sustainable food products" Erasmus University
DOI: 10.14469/hpc/3247
title: IMe3 Wiberg

description: Gaussian Calculation
DOI: 10.14469/hpc/3249
title: IMe3 WFN

description: Gaussian Calculation
DOI: 10.14469/hpc/3248
title: BrMe3 Wiberg

description: Gaussian Calculation
DOI: 10.14469/hpc/3250
title: BrMe3 wfn

description: Gaussian Calculation
DOI: 10.14469/hpc/3251
title: IMe7 NBO

description: Gaussian Calculation
DOI: 10.14469/hpc/3253
title: ClMe5 NBO

description: Gaussian Calculation
DOI: 10.14469/hpc/3254
title: VSEPR Theory: Octet-busting or not with trimethyl chlorine, ClMe3.
DOI: 10.14469/hpc/3256
title: ClMe5 WFN

description: Gaussian Calculation
DOI: 10.5519/qd.g01mhx5g
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (25441 records)
DOI: 10.17894/ucph.9e36093c-bf0d-47e7-8062-3919ab7eb1ce
title: Data for Temperature induced shifts of Yu-Shiba-Rusinov resonances in nanowire based hybrid quantum dots
DOI: 10.21227/2pp5-3m35
title: javad rashidzadeh, جواد رشیدزاده

description: Javad Rashidzadeh was born in Mashhad, Iran, in1991. He received the B.S. degree in electrical engineering from the Iran University of Science and Technology, Tehran, in 2014 and the M.S. degree in electrical engineering from Shahed University, Tehran, in 2017. He is currently as a researcher with the Malek-Ashtar University of Technology. His research interests are electromagneticism, high-frequency machines, and electrical machine design.
DOI: 10.21227/h0wa-n598
title: A Large-Scale Dataset for Active Fire Detection/Segmentation (Landsat-8)

description: This dataset was created from all Landsat-8 images from South America in the year 2018. More than 31 thousand images were processed (15 TB of data), and approximately on half of them active fire pixels were found. The Landsat-8 sensor has 30 meters of spatial resolution (1 panchromatic band of 15m), 16 bits of radiometric resolution and 16 days of temporal resolution (revisit). The images in our dataset are in TIFF format with 10 bands (excluding the 15m panchromatic band). We cropped the original Landsat-8 scenes into image patches with 128 x 128 pixels by using a stride overlap of 64 pixels (vertical and horizontal). The masks are in binary format where True (1) represents fire and False (0) represents background and they were generated from the conditions set by Schroeder et al. (2016).
DOI: 10.5281/zenodo.3745538
title: Wildfire behaviour data for an experimental crown fire in thinned boreal black spruce, Alberta, Canada, 2019-05-11

description: Data describing an experimental forest fire in Wabasca, Alberta, Canada in May 2019.
DOI: 10.5281/zenodo.3653283
title: Dataset of Grouped Commit Author IDs after Identity Resolution

description: This Dataset contains the IDs of 5,427,024 commit authors who have created commits in git version control system, and have more than 1 ID in git. It is a compressed CSV file (separated by ; ) with 14,861,538 author IDs, where the first column is the group ID, which is same as the first (randomly selected) author ID of the group, and the second column is the author ID that is part of the group. If an author was found to have 2 different IDs: <em>I1, I2</em>, then it is recorded in the file in 2 separate lines, with the lines being <strong>I1;I1</strong> and <strong>I1;I2</strong>, i.e. the first column is the group identifier, which is one of the IDs in a group, and the second column contains the different author IDs in separate lines. This data set contains email addresses for various Git author's, but the '@' within the email address has been replaced with a '#'.
DOI: 10.5281/zenodo.3653282
title: Dataset of Grouped Commit Author IDs after Identity Resolution

description: This Dataset contains the IDs of 5,427,024 commit authors who have created commits in git version control system, and have more than 1 ID in git. It is a compressed CSV file (separated by ; ) with 14,861,538 author IDs, where the first column is the group ID, which is same as the first (randomly selected) author ID of the group, and the second column is the author ID that is part of the group. If an author was found to have 2 different IDs: <em>I1, I2</em>, then it is recorded in the file in 2 separate lines, with the lines being <strong>I1;I1</strong> and <strong>I1;I2</strong>, i.e. the first column is the group identifier, which is one of the IDs in a group, and the second column contains the different author IDs in separate lines. This data set contains email addresses for various Git author's, but the '@' within the email address has been replaced with a '#'.
DOI: 10.5281/zenodo.3922967
title: Petunia axillaris annotations version4.1

description: A gff file containing Petunia axillaris gene annotations v4.1 described in the paper "Identification of transcription factors controlling floral morphology in wild <em>Petunia</em> species with contrasting pollination syndromes" submitted to Plant Journal. The annotations for MADS-box, bHLH, MYB, aquaporin, color pathway and ubiquitin coding genes have been updated since v4.
DOI: 10.5281/zenodo.3922966
title: Petunia axillaris annotations version4.1

description: A gff file containing Petunia axillaris gene annotations v4.1 described in the paper "Identification of transcription factors controlling floral morphology in wild <em>Petunia</em> species with contrasting pollination syndromes" submitted to Plant Journal. The annotations for MADS-box, bHLH, MYB, aquaporin, color pathway and ubiquitin coding genes have been updated since v4.
DOI: 10.26030/yj3e-1d41
title: Gene-expression profiling of Saccharomyces cerevisiae irradiated by high-LET radiations

description: Ionizing radiations are categorized by linear energy transfer (LET) into low-LET and high-LET. High-LET is considered to have a higher relative biological effectiveness (RBE) than low-LET radiations. However, the details of the effects have not been clearly determined. The aim of this study was to characterize the difference between high-LET and low LET radiations. The global effects of the three types of high-LET radiations (fast neutron, heavy ion (C) and thermal neutron) were compared with the low-LET radiation (gamma ray) using yeast DNA microarrays. Highly induced genes by the three types of high-LET radiations were those genes related to oxidative stress. Oxidative stress was one of the common factors associated with the four types of radiations. Oxidative stress induced by high-LET radiations may be more serious than that induced by gamma rays. Additionally, genes related to protein synthesis and the ubiquitin and proteasome system were detected. This suggests that more protein damages can be induced by high-LET radiation that denatures the proteins in yeast cells. The genes specifically altered by each type of high-LET radiation were also studied. Overall design: This series contains 4 kinds of irradiation-induced gene expression profiles. Triplicates hybridization was done in each irradiation exposure, and each array have high and low power scanned data respectively. All biological samples were collected independently.
DOI: 10.26030/e5j9-9779
title: Genetic Dissection of the Spaceflight Transcriptome Responses in Plants: are some responses unnecessary?

description: Experimentation on the International Space Station has reached the stage where repeated and nuanced transcriptome studies are beginning to illuminate the structural and metabolic differences between plants grown in space compared to plants on the Earth. Genes that are important in setting up the spaceflight responses are being identified; their role in spaceflight physiological adaptation are increasingly understood, and the fact that different genotypes adapt differently is recognized. However, the basic question of whether these spaceflight responses are required for survival has yet to be posed, and the fundamental notion that spaceflight responses may be non-adaptive has yet to be explored. Therefore the experiments presented here were designed to ask if portions of the plant spaceflight response can be genetically removed without causing loss of spaceflight survival and without causing increased stress responses. The CARA experiment compared the spaceflight transcriptome responses of two Arabidopsis ecotypes, Col-0 and WS, as well as that of a PhyD mutant of Col-0. When grown with the ambient light of the ISS, phyD displayed a significantly reduced spaceflight transcriptome response compared to Col-0, suggesting that altering the activity of a single gene can actually improve spaceflight adaptation by reducing the transcriptome cost of physiological adaptation. The WS genotype showed an even simpler spaceflight transcriptome response in the ambient light of the ISS, more broadly indicating that the plant genotype can be manipulated to reduce the transcriptome cost of plant physiological adaptation to spaceflight and suggesting that genetic manipulation might further reduce, or perhaps eliminate the metabolic cost of spaceflight adaptation. When plants were germinated and then left in the dark on the ISS, the WS genotype actually mounted a larger transcriptome response than Col-0, suggesting that the in-space light environment affects physiological adaptation, which further implies that manipulating the local habitat can also substantially impact the metabolic cost of spaceflight adaptation.
DOI: 10.26030/k8mp-z040
title: Proton irradiation augments the reduction in tumor progression observed with advanced age

description: Proton irradiation is touted for its improved tumor targeting due to the physical advantages of ion beams for radiotherapy. Recent studies from our laboratory have shown that, in addition to targeting advantages, proton irradiation can inhibit angiogenic and immune factors and thereby modulate tumor progression. High-energy protons also constitute a principal component of the galactic cosmic rays to which astronauts are exposed. Increased understanding of the biological effects of proton exposure would thus contribute to both improved cancer therapy and carcinogenesis risk assessment for space travel. In addition, age plays a major role in tumor incidence and is a critical consideration for estimating cancer risk. We investigated the effects of host age and proton exposure on tumor progression. Tumor lag time and growth dynamics were tracked following injection of murine Lewis lung carcinoma (LLC) cells into young (68 day) versus old (736 day) mice with or without coincident irradiation. Tumor progression was suppressed in old compared to young mice. Differences in progression were further modulated by proton irradiation (1GeV), with increased inhibition evident in old mice. Through global transcriptome analysis, TGFB1 and TGFB2 were determined to be key players that contributed to the tumor dynamics observed. These findings point to older hosts providing decreased systemic tumor support, which can be further inhibited by proton irradiation. Overall design: For genome-wide expression profiling of tumor tissue, Mouse WG-6 BeadArray chips (Illumina, San Diego, CA) were used. Total RNA was amplified with the Ambion Illumina TotalPrep Amplification Kit (Ambion, Austin, TX) and labeled from all replicate biological samples for each condition. For tumor replicates, thirty tumor samples from adolescent and thirty tumor samples from old mice, for a total of 60 tumor samples, were used. All replicate samples were run individually. For each age group, ten tumor samples had received proton irradiation while twenty tumor samples were from unirradiated mice (as described above). Total RNA was isolated and purified using TRIzol (Invitrogen) and quantified using an Agilent Bioanalyzer. Samples were deemed suitable for amplification and hybridization if they had 28s/18s = 2:1, RIN >7. Total RNA of 500ng per sample was amplified using AmbionTotalPrep, and 1.5ug of the product was loaded onto the chips. Following hybridization at 55C, the chips were washed and then scanned using the Illumina iScan System. The data was checked with GenomeStudio (Illumina) for quality control. In GenomeStudio, data was background subtracted and rank invariant normalization was applied. Data was imported into MultiExperiment Viewer, MeV, for statistical analysis. The statistically significant genes were determined using MeV by applying a one-way ANOVA analysis with standard Bonferroni correction with a FDR <0.05 that resulted in a list of significant genes. Average gene expression signals <10 were filtered out due to signal being
DOI: 10.26030/9626-w275
title: The response of murine cartilages to 30 days of microgravity

description: Articular and sterno-costal cartilages were isolated from skeletally-mature mice flown for 30 days on the BION-M1 mission. Samples were characterized histologically for proteoglycan loss and at the gene expression levels using Affymetrix gene arrays.
DOI: 10.26030/x4b4-7056
title: Exposure to ionizing radiation induced persistent gene expression changes in mouse mammary gland

description: Six to eight week old female C57BL/6J mice were exposed to 2 Gy of whole body γ radiation and mammary glands were surgically removed 2-month after radiation. RNA was isolated and microarray hybridization performed for gene expression analysis. 5 samples were analyzed: 2 controls at 2 months, 1 2 Gy at 2 months, and 2 7 Gy at 2 months
DOI: 10.26030/36vg-ac12
title: Microbial Observatory (ISS-MO): Study of BSL-2 bacterial isolates from the International Space Station

description: In an on-going Microbial Observatory experimental investigation on the International Space Station (ISS), multiple bacterial isolates of Biosafety Level 2 (BSL-2) were isolated and identified. The antibiotic susceptibility pattern was tested in these BSL-2 isolates for the following antibiotics: cefazolin, ciprofloxacin, cefoxitin, erythromycin, gentamycin, oxacillin, penicillin, rifampin, tobramycin and many of the BSL-2 isolates showed multiple drug resistance. Among these isolates, 21 strains were chosen for whole genome sequencing (WGS) for a possible lead to develop appropriate countermeasures. In addition, the genomic data would enable to determine the influence of microgravity on the pathogenicity and virulence in the BSL-2 microorganisms.