cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.26183/k5hk-3487
title: Facilitating migrant and refugee settlement in Australia: a socio-economic model for regional development-Dataset

description: Australia’s population growth and distribution is mostly centred along urban and coastal areas. Within Queensland, 61.6% of residents live in ‘major cities’, 20.5% in ‘inner regional’ areas, 14.8% in ‘outer regional’ areas, 1.8% in ‘remote’ areas, and 1.3% live in ‘very remote’ parts of the State (Queensland Treasury 2019). Under the Australian government’s humanitarian program, a considerable number of refugees settle in Australia each year. Given this current trend of urban settlement, where and how to successfully settle refugees is an important issue for Australia. This research offers a conceptual framework for enabling sustainable refugee settlement away from urban areas, and into regional Australia. Currently however, due to various economic, social, political, and policy reasons, migrants (including refugees) predominantly settle in metropolitan cities of Australia which has become a highly contested issue in contemporary Australian media and political discourse. While there is evidence to suggest that there is an initially higher rate of unemployment among refugees, there is also a shortage of workers in Australian regional agribusiness. Presently, a large proportion of this shortage is met by temporary overseas workers, which is a paradox because of its inherent limitations and convenience. Despite serious interest among the various stakeholders, there is a knowledge gap as to how to facilitate successful refugee settlement and integration in regional areas. The current situation of COVID-19 provides an opportunity given that new migrant arrivals are essentially on hold leaving gaps for employers in regional locations. We posit that a regional employment policy has numerous inter-connected benefits: a) it can narrow the existent skill shortage gap, b) it contributes to the economic growth of regional Australia, c) it ensures that work experience of refugees is utilized in relevant sectors, d) as integrating members of a regional community, refugees build and contribute to social capital. The proposed concept is a paradigm shift from charitable view of refugee/migrant settlement to regional socio-economic development while ensuring a meaningful life for new arrivals.
Dataset contains transcripts of interviews conducted with nine individuals. For more information concerning this dataset, please contact Ataus Samad a.samad@westernsydney.edu.au ORCID 0000-0002-8387-7419
DOI: 10.25345/c5697077n
title: MassIVE MSV000091952 - 6-Azasteroids with Unique Activity in Mycobacteria Dataset-1
title: 6azasteroid protein interactions are important in our understanding of the mechanisms for their potentiation of the antituberculosis drug bedaquiline. We developed two 6azasteroid photo-affinity probes to investigate azasteroid protein interactions in Mm whole cells. Using bottom-up MS profiling of the crosslinked proteins, we identified eight potential protein targets for 6azasteroids.
DOI: 10.6084/m9.figshare.22818134
title: Data description.xlsx

description: <strong>This is a comprehensive list of the news articles, along with their respective publication dates for the paper " </strong> <em><strong>WAR</strong></em><strong>, </strong><em><strong>TOOL</strong></em><strong>, </strong><em><strong>RACE</strong></em><strong> or </strong><em><strong>BUILDING</strong></em><strong>? A comparison of vaccine metaphors between (translated) news and scientific reports in the age of COVID-19"</strong>
DOI: 10.6084/m9.figshare.22818134.v1
title: Data description.xlsx

description: <strong>This is a comprehensive list of the news articles, along with their respective publication dates for the paper " </strong> <em><strong>WAR</strong></em><strong>, </strong><em><strong>TOOL</strong></em><strong>, </strong><em><strong>RACE</strong></em><strong> or </strong><em><strong>BUILDING</strong></em><strong>? A comparison of vaccine metaphors between (translated) news and scientific reports in the age of COVID-19"</strong>
DOI: 10.5281/zenodo.7938497
title: Using Open Citation Databases for Snowballing in Software Engineering Research

description: Dataset for our study on the coverage of software engineering articles in open citation databases: a list of the 23 sampled venues with their respective CORE ranks and publishers, 01-venues.csv, a list of the 204 sampled articles with their respective number of references/citations per citation database, 02-articles.csv (articles with publication information), 03-references-absolute.csv (number of references in published PDF & absolute numbers for reference coverage in databases), 04-references-relative.csv (relative numbers for reference coverage in databases), 05-citations-absolute.csv (absolute numbers for citation coverage in databases), 06-citations relative.csv (relative numbers for citation coverage in databases), a list of the 8 articles analyzed in more detail with complete references data from the citation databases, 07-selected-articles.csv (articles with publication information), 08A–08H (comparison of references found in databases for each article), and additional statistical measures and plots 09-Statistics.{pdf,xlsx} (statistical measures – i.e., minimum, maximum, median, average, variance – for the whole dataset and for subsets by publisher, CORE rank, or year of publication), 10-Figures.zip (figures for references as shown in the study and additional figures for citations – each in EPS and PNG format).
DOI: 10.5281/zenodo.7938496
title: Using Open Citation Databases for Snowballing in Software Engineering Research

description: Dataset for our study on the coverage of software engineering articles in open citation databases: a list of the 23 sampled venues with their respective CORE ranks and publishers, 01-venues.csv, a list of the 204 sampled articles with their respective number of references/citations per citation database, 02-articles.csv (articles with publication information), 03-references-absolute.csv (number of references in published PDF & absolute numbers for reference coverage in databases), 04-references-relative.csv (relative numbers for reference coverage in databases), 05-citations-absolute.csv (absolute numbers for citation coverage in databases), 06-citations relative.csv (relative numbers for citation coverage in databases), a list of the 8 articles analyzed in more detail with complete references data from the citation databases, 07-selected-articles.csv (articles with publication information), 08A–08H (comparison of references found in databases for each article), and additional statistical measures and plots 09-Statistics.{pdf,xlsx} (statistical measures – i.e., minimum, maximum, median, average, variance – for the whole dataset and for subsets by publisher, CORE rank, or year of publication), 10-Figures.zip (figures for references as shown in the study and additional figures for citations – each in EPS and PNG format).
DOI: 10.25345/c52j68f40
title: MassIVE MSV000091953 - MS for BIRC6 Complex from HEK293F
title: The plasmids were then transiently transfected into HEK293F expression system for overexpression. After incubation for 48 h, the cells were collected, washed one with ice-cold PBS. The resuspended cells were then lysed by sonication, and the lysate supernatant after centrifugation was incubated with M2-FLAG affinity beads for 1.5 h. After several round of washing with buffer B, the FLAG-affinity proteins were eluted by 0.5 mg/mL FLAG peptide dissolved in buffer C. The elute was further purified by gel filtration (Superose 6 Increase Columns, Cytiva) using buffer C. The fraction at 0.5 mL/tube was collected starting from 7 mL. Concentrate a few tubes from the main peak diagram. The purified FLAG-BIRC6 complex was analyzed by mass spectrometry following separation of the complex by SDS-PAGE. The full lane was sliced into 6 pieces from top to bottom with assigned sample numbers: 1, 2-1, 2-2, 3-1, 3-2, and 4.
DOI: 10.5281/zenodo.7934956
title: Dataset 12

description: dataset
DOI: 10.5281/zenodo.7934955
title: Dataset 12

description: dataset
DOI: 10.6073/pasta/c0cc458162dfda68c960c3207ec52c9e
title: MCR LTER: Coral Reef: Island-Wide Lagoon Benthic Water Temperature, ongoing since 2021

description: Beginning in August 2021, a continuous time series of benthic water temperature is measured with bottom-mounted thermistors (SBE 56s) at 49 sites around the lagoons of Moorea. The thermistor array consists of a backbone of 36 thermistors placed on the backreef approximately 200 m shoreward of the reef crest and spaced approximately 1 km apart. In addition, there are three cross-shore transects (one on each of the three sides of the island). Each cross-shore transect consists of five bottom-mounted thermistors spaced at 100 m intervals, starting at the reef crest and ending 400 m inshore. All thermistors are mounted on plates at ~ 1.5 m depth. Temperature measurements are taken every 2 minutes. This material is based upon work supported by the U.S. National Science Foundation under Grant No. OCE 16-37396 (and earlier awards) as well as a generous gift from the Gordon and Betty Moore Foundation. Research was completed under permits issued by the French Polynesian Government (Délégation à la Recherche) and the Haut-commissariat de la République en Polynésie Francaise (DTRT) (Protocole d'Accueil 2005-2023). This work represents a contribution of the Moorea Coral Reef (MCR) LTER Site.
DOI: 10.34740/kaggle/dsv/5694432
title: Youtube Trending Video - Taiwan & Hong Kong
DOI: 10.6084/m9.figshare.22346332
title: data and code for biomass in northern China

description: data and code for biomass in northern China
DOI: 10.5281/zenodo.7938985
title: Dataset13

description: Dataset13
DOI: 10.5281/zenodo.7938984
title: Dataset13

description: Dataset13
DOI: 10.25921/b98b-0r35
title: EM2040 Water Column Sonar Data Collected During NF2205
DOI: 10.25345/c5xs5js90
title: MassIVE MSV000091954 - GNPS Andrew's time course data for workshop
title: Samples from a time course of Bacillus grown in two media, uploaded for a GNPS workshop
DOI: 10.6073/pasta/9f4c211ba7049f547183214987490942
title: Demonstration of Ecosystem Management Options (DEMO) Study, western Oregon and Washington (post-treatment data, 1998-2016)

description: The Demonstration of Ecosystem Management Options (DEMO) Study is a regional-scale experiment in variable-retention harvest, established at six sites in western Oregon and Washington. Initiated in 1994, DEMO was designed to assess newly established standards and guidelines for regeneration harvests in mature, coniferous forests of the Pacific Northwest. The experiment is a randomized complete block design. It includes six treatments that represent strong contrasts in the level of retention (15-100% of original basal area) and the spatial pattern in which trees are retained (uniformly dispersed vs. aggregated in 1-ha patches). The factorial nature of the design (15 and 40% retention in both an aggregated and dispersed pattern) is unique among variable-retention experiments, regionally and globally. Long-term measurements of vegetation response lie at the core the DEMO Study. Key response variables include overstory tree growth and mortality, the dynamics of snags, regeneration of conifers (including planted seedlings and natural recruitment), and the composition, structure and diversity of the understory (including herbaceous, woody, and bryophyte species). Pre-treatment measurements were made between 1994 and 1996 (data are archived under Study Code TP104). Post-treatments measurements have occurred at ~5- to 7-year intervals between 1998 and 2016 (data are archived under Study Code TP108).
DOI: 10.21227/ckx7-0s88
title: Raw ground-penetrating radar (GPR) data to assess water table detectability in sandy formations, Wahiba Sands, Oman

description: This dataset contains 6 raw ground-penetrating radar (GPR) profiles (#9, #10, #11, #14, #25, #30) collected at 4 locations in the Wahiba Sands dune field of Oman in May of 2014. The survey was performed to assess the detectability of the water table within the first 100 meters in hyper-arid sandy formations by VHF sounding radar. Profiles #9-10-11 are three parts of the same track ascending a ~36-m tall dune, and used to assess the maximum GPR penetration depth at which the water table is still detectable. Profiles #25 and #30 were acquired in the low-lying interdunal space running north-to-south where the water table is ~30 to 40 m deep, and were used to quantify dielectric and scattering losses in the desiccated medium overlying the water table. Profile #14 was acquired to validate the occurrence of shallow (~2 meter deep) buried paleochannels identified from satellite radar backscatter scenes of the Wahiba Sands.The detailed processing, analyses and interpretations of these GPR profiles, in addition to their implications for airborne VHF sounding radar observations of shallow aquifers in hyper-arid sandy formations, are provided in Heggy et al. (2023, Under Review): "Probing Shallow Aquifers in Hyper-Arid Dune Fields Using VHF Sounding Radar," IEEE Transactions on Geoscience and Remote Sensing, Manuscript ID: TGRS-2022-03851.
DOI: 10.26188/22249051
title: Data from: Multi-scale investigation of factors influencing moisture thresholds for litter bed flammability'

description: Data from: Multi-scale investigation of factors influencing moisture thresholds for litter bed flammability <br> by JE Burton, TD Penman, AI Filkov and JG Cawson (2023)
DOI: 10.26188/22249051.v1
title: Data from: Multi-scale investigation of factors influencing moisture thresholds for litter bed flammability'

description: Data from: Multi-scale investigation of factors influencing moisture thresholds for litter bed flammability <br> by JE Burton, TD Penman, AI Filkov and JG Cawson (2023)
DOI: 10.6084/m9.figshare.22826279.v1
title: Vegetation inventory at the Kulbäcksliden Research Infrastructure mire sites in 2018 and 2021

description: This is all the vegetation inventory performed in November 2021 at the Kulbäcksliden Research Infrastructure mire sites. Authors: -Lars Ericson and Mats B. Nilsson did the field inventory -Koffi Dodji Noumonvi prepared the shapefiles -Nils Helge Havertz used this data in his master thesis and prepared some validation files More information about this dataset can also be found in supplementary materials of the KRI paper (doi: 10.3389/feart.2023.1194749).
DOI: 10.6084/m9.figshare.22826228
title: Energetic Neutral Atom (ENA) emission characteristics at the Moon and Mercury from 3D regolith simulations of solar wind reflection (Dataset)

description: This dataset contains accompanying data for the manuscript "Energetic Neutral Atom (ENA) emission characteristics at the Moon and Mercury from 3D regolith simulations of solar wind reflection" by P.S. Szabo et al. <br> In particular, the data plotted in the figures of the main manuscript and the supporting information are included.
DOI: 10.6084/m9.figshare.22826228.v1
title: Energetic Neutral Atom (ENA) emission characteristics at the Moon and Mercury from 3D regolith simulations of solar wind reflection (Dataset)

description: This dataset contains accompanying data for the manuscript "Energetic Neutral Atom (ENA) emission characteristics at the Moon and Mercury from 3D regolith simulations of solar wind reflection" by P.S. Szabo et al. <br> In particular, the data plotted in the figures of the main manuscript and the supporting information are included.
DOI: 10.5281/zenodo.7939241
title: Amplicon example reads

description: Example amplicon, paired-end, Illumina reads
DOI: 10.5281/zenodo.7939240
title: Amplicon example reads

description: Example amplicon, paired-end, Illumina reads
DOI: 10.6084/m9.figshare.22826402
title: Data for biomass.

description: data for biomass in northern China.
DOI: 10.25901/mqee-2331
title: Great Western Woodlands Ant Abundance and Functional Classification Across Time Since Fire Chronosequence Data
DOI: 10.25919/7wzy-4d04
title: Australia-wide Machine Learning Evapotranspiration for Trees (AMLETT) model for the Lower Limestone Coast

description: This dataset contains the monthly evapotranspiration (ET) data at 30 meters spatial resolution from Feb 2000 to Dec 2020 for Lower Limstone Coast, South Australia, specific to plantation forests (Pinus radiata and Eucalyptus globulous) and the extent of mapped forests in the region. The data outputs employ extensive plantation forest in-situ ET data collected by CSIRO (Benyon et al., 2006) and machine learning to create a model that estimates forest ET across the proposed timeseries. The approach used to undertake this has been developed recently in the Murray-Darling Basin by Doody et al. (2023), referred to as the AMLETT model (Australia-wide Machine Learning ET for Trees model) which is applicable to use in any location where field tree ET data is available to help train the machine learning processes.
DOI: 10.5281/zenodo.7939295
title: Metagenomics example reads

description: Example metagenomics, paired-end, Illumina reads
DOI: 10.5281/zenodo.7939294
title: Metagenomics example reads

description: Example metagenomics, paired-end, Illumina reads
DOI: 10.6084/m9.figshare.22586926.v1
title: Source data for: The Allee effect mediates the impact of land-use change on the realized thermal niche of social species

description: This dataset includes the source data for the study "The Allee effect mediates the impact of land-use change on the realized thermal niche of social species", as well as the R code for data analysis and a readme file for the dataset.
DOI: 10.57931/1962861
title: GCAM-USA electricity demand results for National Climate Assessment 5

description: Overview This dataset includes GCAM-USA v 5.3 outputs for the percent change in electricity demand in the U.S. from 2020 to 2050 and from 2020 to 2100 for the thermodynamic global warming scenario "RCP8.5_hotter" and the SSP5 socioeconomic scenario. These results were produced as part of the Integrated Multisector, Multiscale Modeling (IM3) project. Detailed Information The electricity demand is calculated based on the IM3 GCAM-USA simulations. For the purpose of reproducibility, we provide the following data: 1. Raw data: the annual electricity demand for CONUS simulated by IM3 GCAM-USA for the scenario RCP8.5 Hotter - SSP5. 2. R scripts: process raw data, calculate percent change of electricity demand from 2020 to 2050 and from 2020 to 2100, and plot the data over CONUS. 3. Results: figures provided for NCA-5 and the corresponding data table from the R scripts.
DOI: 10.5439/1972181
title: SMPS data from TAMU TRACER campaign in the Houston TX region from July to September 2022

description: During TRACER, the Texas A&M Rapid Onsite Atmospheric Measurements Van (ROAM-V) was deployed to capture airmasses behind (maritime) and ahead (continental) of the passage of the sea-breeze front through Houston. On select sampling days, ROAM-V sampled in the morning/mid-day on the coast and then transited to a second inland site for the afternoon/evening. The suite of instruments deployed on ROAM-V included a Condensation Particle Counter (CPC; GRIMM Model 5.403 CPC), Scanning Mobility Particle Sizer (SMPS; TSI 3750 detector, TSI 3082 classifier, TSI 3088 neutralizer, TSI 3081A Differential Mobility Analyzer), Cloud Condensation Nuclei counter (Droplet Measurement Technologies CCN Counter), micro pulse lidar (Droplet Measurement Technologies Micro Pulse LiDAR (miniMPL)), and a Davis Rotating Uniform size-cut Monitor (DRUM; DRUMAir 4-DRUM). Before sampling at each location, the latitude and longitude were recorded using the GPS on the phone application “My Altitude”.Onboard the ROAM-V, aerosol samples are drawn through a shared isokinetic inlet at a flow rate ranging from 3.5 to 7.0 LPM. A portion of this flow, 1.0 LPM, is directed through TSI's 0.071 cm impactor attached to the classifier of the SMPS setup. The SMPS’s DMA and CPC are connected through a 20.3 cm length of 0.48 cm diameter tubing. Measured SMPS size distributions were used to calculate size-dependent particle losses for each SMPS scan. Particle losses from diffusion (based on Kesten, 1991 and Gormley, 1949) and inertial impaction in 90-degree bends (based on Aerosol Measurement, 2011 and Crane, 1977) were included in the loss calculation.This data was collected for ARM Field Campaign AFC07055 and supported by DOE ASR grant DE-SC0021047. For any further questions, please feel free to contact the instrument PI, Sarah D. Brooks, sbrooks@tamu.edu.Kesten et. al. Calibration of a TSI Model 3025 Ultrafine Condensation Particle Counter. Aerosol Science and Technology, 15:2, 107-111, 1991.Gormley et. al. Diffusion from a Stream Flowing through a Cylindrical Tube. Proceedings of the Royal Irish Academy, Vol 52, 163-169, 1948.Aerosol Measurement: Principles, Techniques, and Applications, Third Edition. John Wiley & Sons, Inc, 2011.Crane et. al. Inertial Deposition of Particles in a Bent Pipe. Journal of Aerosol Science, Vol 8, 161-170, 1977.
DOI: 10.5439/1972461
title: Mini-Micropulse Lidar data from TAMU TRACER campaign in the Houston TX region from July to September 2022

description: During TRACER, the Texas A&M Rapid Onsite Atmospheric Measurements Van (ROAM-V) was deployed to capture airmasses behind (maritime) and ahead (continental) of the passage of the sea-breeze front through Houston. On select sampling days, ROAM-V sampled in the morning/mid-day on the coast and then transited to a second inland site for the afternoon/evening. The suite of instruments deployed on ROAM-V included a Condensation Particle Counter (CPC; GRIMM Model 5.403 CPC), Scanning Mobility Particle Sizer (SMPS; TSI 3750 detector, TSI 3082 classifier, TSI 3088 neutralizer, TSI 3081A Differential Mobility Analyzer), Cloud Condensation Nuclei counter (Droplet Measurement Technologies CCN Counter), micro pulse lidar (Droplet Measurement Technologies Micro Pulse LiDAR (mini-MPL)), and a Davis Rotating Uniform size-cut Monitor (DRUM; DRUMAir 4-DRUM). Before sampling at each location, the latitude and longitude were recorded using the GPS on the phone application “My Altitude”.The mini-MPL deployed with ROAM-V is a 532 nm elastic and polarization lidar. The mini-MPL outputs normalized relative backscatter (NRB) derived from raw signal after after-pulse, overlap, and dead-time correction calibration. The depolarization ratio is calculated from the co-polarized and cross-polarized NRB (Flynna et al., 2007). The NRB and depolarization ratio data are resampled from the original data at 1-minute intervals. The vertical resolution of the mini-MPL data is 15 meters. The mini-MPL data can be used to determine the boundary layer, cloud top, and cloud bottom height and can be used to retrieve aerosol type and concentration profile.This data was collected for ARM Field Campaign AFC07055 and supported by DOE ASR grant DE-SC0021047. For any further questions, please feel free to contact the instrument PI, Sarah D. Brooks, sbrooks@tamu.edu.Flynna, C. J., Mendozaa, A., Zhengb, Y., & Mathurb, S. (2007). Novel polarization-sensitive micropulse lidar measurement technique. Optics express, 15(6), 2785-2790.