cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.26186/146552
title: Geoscience Australia Sentinel-2A MSI Analysis Ready Data Collection 3 - DEA Surface Reflectance (Sentinel-2A MSI)

description: Background: The European Space Agency (ESA) has operated medium resolution satellites - Sentinel-2 series (Sentinel-2A and Sentinel-2B) since 2015. The spectral bands and spatial resolution of Sentinel-2 are similar to those of the Landsat series, but Sentinel-2 has a higher revisit frequency and spatial coverage. A combination of Sentinel-2 and Landsat data can provide good spatial and temporal coverage of the Earth's surface and provide useful information to monitor environmental resources over time, such as agricultural production and mining activities. However, the raw remotely sensed data received by these satellites in the solar spectral range do not directly characterise the underlying reflectance of surface objects. The data are modified by the atmosphere, variation of solar and sensor positions as well as surface anisotropic conditions. To make accurate comparisons of imagery acquired at different times, seasons and geographic locations, and detect the change of surface, it is necessary to remove/reduce these effects to ensure the data are consistent and can be compared over time. What this product offers: This product takes Sentinel-2A imagery captured over the Australian continent and corrects for inconsistencies across land and coastal fringes. The result is accurate and standardised surface reflectance data, which is instrumental in identifying and quantifying environmental change. The imagery is captured using the Multispectral Instrument (MSI) sensor aboard Sentinel-2A. This product is a single, cohesive Analysis Ready Data (ARD) package, which allows the analysis of surface reflectance data as is, without the need to apply additional corrections. It contains two sub-products that provide corrections or attribution information: - Geoscience Australia Sentinel-2A MSI NBART Collection 3 - Geoscience Australia Sentinel-2A Observation Attributes Collection 3 The resolution is a 10/20/60 m grid based on the ESA Level 1C archive. Applications: - The development of derivative products to monitor land, inland waterways and coastal features, such as: - urban growth - coastal habitats - mining activities - agricultural activity (e.g. pastoral, irrigated cropping, rain-fed cropping) - water extent - The development of refined information products, such as: - areal units of detected surface water - areal units of deforestation - yield predictions of agricultural parcels - Compliance surveys - Emergency management
DOI: 10.26186/146569
title: Geoscience Australia Sentinel-2B MSI NBART Collection 3 - DEA Surface Reflectance NBART (Sentinel-2B MSI)

description: Background: This is a sub-product of DEA Surface Reflectance (Sentinel-2B MSI). See the parent product for more information. Reflectance data at top of atmosphere (TOA) collected by Sentinel-2B MSI sensors can be affected by atmospheric conditions, sun position, sensor view angle, surface slope and surface aspect. Surfaces with varying terrain can introduce inconsistencies to optical satellite images through irradiance and bidirectional reflectance distribution function (BRDF) effects. For example, slopes facing the sun appear brighter compared with those facing away from the sun. Likewise, many surfaces on Earth are anisotropic in nature, so the signal picked up by a satellite sensor may differ depending on the sensor’s position. These need to be reduced or removed to ensure the data is consistent and can be compared over time. What this product offers: This product takes Sentinel-2B MSI imagery captured over the Australian continent and corrects the inconsistencies across the land and coastal fringe. It achieves this using Nadir corrected Bi-directional reflectance distribution function Adjusted Reflectance (NBAR). In addition, this product has a terrain illumination correction applied to correct for varying terrain. The resolution is a 10/20/60 m grid based on the ESA level 1C archive. Applications: - The development of derivative products to monitor land, inland waterways and coastal features, such as: - urban growth - coastal habitats - mining activities - agricultural activity (e.g. pastoral, irrigated cropping, rain-fed cropping) - water extent - The development of refined information products, such as: - areal units of detected surface water - areal units of deforestation - yield predictions of agricultural parcels - Compliance surveys - Emergency management
DOI: 10.26186/146551
title: Geoscience Australia Sentinel-2B MSI Analysis Ready Data Collection 3 - DEA Surface Reflectance (Sentinel-2B MSI)

description: Background: The European Space Agency (ESA) has operated the medium resolution satellites - Sentinel-2 series (Sentinel-2A and Sentinel-2B) since 2015. The spectral bands and spatial resolution of Sentinel-2 are similar to those of Landsat series, but Sentinel-2 has a higher revisit frequency and spatial coverage. A combination of Sentinel-2 and Landsat data can provide good spatial and temporal coverage of the Earth's surface and provide useful information to monitor environmental resources, such as agricultural production and mining activities, over time. However, the raw remotely sensed data received by these satellites in the solar spectral range do not directly characterise the underlying reflectance of surface objects. The data are modified by the atmosphere and variation of solar and sensor positions as well as surface anisotropic conditions. To make accurate comparisons of imagery acquired at different times, seasons and geographic locations and detect the change of surface, it is necessary to remove/reduce these effects to ensure the data are consistent and can be compared over time. What this product offers: This product takes Sentinel-2B imagery captured over the Australian continent and corrects for inconsistencies across land and coastal fringes. The result is accurate and standardised surface reflectance data, which is instrumental in identifying and quantifying environmental change. The imagery is captured using the Multispectral Instrument (MSI) sensor aboard Sentinel-2B. This product is a single, cohesive Analysis Ready Data (ARD) package, which allows the analysis of surface reflectance data as is, without the need to apply additional corrections. It contains two sub-products that provide corrections or attribution information: - DEA Surface Reflectance NBART(Sentinel-2B MSI) - Geoscience Australia Sentinel-2B MSI NBART Collection 3 - DEA Surface Reflectance OA(Sentinel-2B MSI) - Geoscience Australia Sentinel-2B Observation Attributes Collection 3 The resolution is a 10/20/60 m grid based on the ESA Level 1C archive. Applications: - The development of derivative products to monitor land, inland waterways and coastal features, such as: - urban growth - coastal habitats - mining activities - agricultural activity (e.g. pastoral, irrigated cropping, rain-fed cropping) - water extent - The development of refined information products, such as: - areal units of detected surface water - areal units of deforestation - yield predictions of agricultural parcels - Compliance surveys - Emergency management
DOI: 10.26186/146568
title: Geoscience Australia Sentinel-2A Observation Attributes Collection 3 - DEA Surface Reflectance OA (Sentinel-2A MSI)

description: Background This is a sub-product of Geoscience Australia Sentinel-2A MSI Analysis Ready Data Collection 3 - DEA Surface Reflectance 3 (Sentinel-2A). See the parent product for more information. The contextual information related to a dataset is just as valuable as the data itself. This information, also known as data provenance or data lineage, includes details such as the data’s origins, derivations, methodology and processes. It allows the data to be replicated and increases the reliability of derivative applications. Data that is well-labelled and rich in spectral, spatial and temporal attribution can allow users to investigate patterns through space and time. Users are able to gain a deeper understanding of the data environment, which could potentially pave the way for future forecasting and early warning systems. The surface reflectance data produced by NBART requires accurate and reliable data provenance. Attribution labels, such as the location of cloud and cloud shadow pixels, can be used to mask out these particular features from the surface reflectance analysis, or used as training data for machine learning algorithms. Additionally, the capacity to automatically exclude or include pre-identified pixels could assist with emerging multi-temporal and machine learning analysis techniques. What this product offers This product contains a range of pixel-level observation attributes (OA) derived from satellite observation, providing rich data provenance: - null pixels - clear pixels - cloud pixels - cloud shadow pixels - snow pixels - water pixels - spectrally contiguous pixels - terrain shaded pixels It also features the following pixel-level information pertaining to satellite, solar and sensing geometries: - solar zenith - solar azimuth - satellite view - incident angle - exiting angle - azimuthal incident - azimuthal exiting - relative azimuth - timedelta
DOI: 10.26186/146571
title: Geoscience Australia Sentinel-2A MSI NBART Collection 3 - DEA Surface Reflectance NBART (Sentinel-2A MSI)

description: Background: This is a sub-product of DEA Surface Reflectance (Sentinel-2A MSI) - Geoscience Australia Sentinel-2A MSI Analysis Ready Data Collection 3. See the parent product for more information. Reflectance data at top of atmosphere (TOA) collected by Sentinel-2A MSI sensors can be affected by atmospheric conditions, sun position, sensor view angle, surface slope and surface aspect. Surfaces with varying terrain can introduce inconsistencies to optical satellite images through irradiance and bidirectional reflectance distribution function (BRDF) effects. For example, slopes facing the sun appear brighter compared with those facing away from the sun. Likewise, many surfaces on Earth are anisotropic in nature, so the signal picked up by a satellite sensor may differ depending on the sensor’s position. These need to be reduced or removed to ensure the data is consistent and can be compared over time. What this product offers: This product takes Sentinel-2A MSI imagery captured over the Australian continent and corrects the inconsistencies across the land and coastal fringe. It achieves this using Nadir corrected Bi-directional reflectance distribution function Adjusted Reflectance (NBAR). In addition, this product applies terrain illumination correction to correct for varying terrain. The resolution is a 10/20/60 m grid based on the the ESA level 1C archive. Applications: - The development of derivative products to monitor land, inland waterways and coastal features, such as: - urban growth - coastal habitats - mining activities - agricultural activity (e.g. pastoral, irrigated cropping, rain-fed cropping) - water extent - The development of refined information products, such as: - areal units of detected surface water - areal units of deforestation - yield predictions of agricultural parcels - Compliance surveys - Emergency management
DOI: 10.6084/m9.figshare.19743319
title: raw data of manuscript and SI

description: The raw date of manuscript and SI
DOI: 10.5281/zenodo.6537708
title: The model output for the hypothermia case during the 2021 Ultramarathon

description: The datasets are WRF model outputs for the hypothermia case during the 2021 Ultramarathon. The essential datasets are selected to support the study "Simulation of the effect of small-scale mountains on weather conditions during the May 2021 Ultramarathon in Gansu Province, China".
DOI: 10.6084/m9.figshare.19744798
title: SA3 area 2020-based total population projections

description: This Excel workbook contains projections of population totals of SA3 areas (2016 ASGS) in Australia from 2020 to 2035. The projections are created as the average of four extrapolative models: (i) a constant share of population model in which local area populations are projected as the jump-off year proportion of the national population multiplied by the national projected population; (ii) a linear/exponential model which projects local area population using linear extrapolation if base period growth is positive and exponential extrapolation if it is negative; (iii) a share of growth model in which projected local population growth from the linear/exponential model is adjusted to match projected national population change; and (iv) a modified exponential model in which the exponential model is subject to floor and ceiling limits to avoid excessive growth or decline.
DOI: 10.14459/10.14459/2022mp1655470
title: RID – Roof Information Dataset for Computer Vision-Based Photovoltaic Potential Assessment

description: Labeled aerial images for semantic segmentation of roof segments and roof superstructures. Data set contains 1880 annotated buildings and 1880 roof centered images. Roof segments are labeled with azimuth value or as flat. Roof superstructure classes are pvmodule, dormer, window, ladder, chimney, shadow, tree and unknown.
DOI: 10.14459/2022mp1655470
title: RID – Roof Information Dataset for Computer Vision-Based Photovoltaic Potential Assessment

description: Labeled aerial images for semantic segmentation of roof segments and roof superstructures. Data set contains 1880 annotated buildings and 1880 roof centered images. Roof segments are labeled with azimuth value or as flat. Roof superstructure classes are pvmodule, dormer, window, ladder, chimney, shadow, tree and unknown.
DOI: 10.6084/m9.figshare.19744816.v1
title: SA3 area 2020-based synthetic migration model input data

description: This workbook contains all the input data needed for the SA3 area 2020-based population projections produced by the synthetic migration cohort-component model
DOI: 10.6084/m9.figshare.19744816
title: SA3 area 2020-based synthetic migration model input data

description: This workbook contains all the input data needed for the SA3 area 2020-based population projections produced by the synthetic migration cohort-component model
DOI: 10.6084/m9.figshare.15088722.v2
title: Horizontal gene transfer and evolutionary consequence of gene loss in myriapods

description: Animals have fascinating diversity of life forms. Analyses of the available genome sequence reveals dynamic evolution of gene gain and loss at different lineages in the animal tree of life (e.g. Albalat and Canestro 2016; Sharma et al 2018; Fernandez and Gabaldon 2020; Guijarro-Clarke et al 2020; Jebb et al 2020). Gene gain via another kingdom as well as the evolutionary consequence of gene loss are generally ignored and difficult to interpret. Here we sequenced six new myriapod genomes at key phylogenetic positions of this understudied arthropod lineage (three millipedes and three centipedes). Comparison of myriapod genomes revealed multiple horizontal gene transfer (HGT) of genes shared between centipedes, including <i>glucose/arabinose dehydrogenase</i> that happened at the last common of ancestor of centipedes, while there was no detectable HGT shared between the millipedes. In all millipede lineages, the loss of <i>juvenile hormone O-methyltransferase</i>, a key enzyme in catalysing the last step of sesquiterpenoid hormone methyl farnesoate production in arthropods was revealed. These findings provided the first evidence of shared HGT in the last common ancestor of centipede ancestor, while gene loss event could indeed happen in endocrine system in contrary to the conventional view of stepwise gene gain resulting in diversity of animal physiology for adaptation to environment.
DOI: 10.6084/m9.figshare.19744804
title: Supplementary Material for: Standardized Outcome Measures for Preterm and Hospitalized Neonates: An ICHOM Standard Set

description: <b><i>Introduction:</i></b> Approximately, one in ten infants is born preterm or requires hospitalization at birth. These complications at birth have long-term consequences that can extend into childhood and adulthood. Timely detection of developmental delay through surveillance could enable tailored support for these babies and their families. However, the possibilities for follow-up are limited, especially in middle- and low-income countries, and the tools to do so are either not available or too expensive. A standardized and core set of outcomes for neonates, with feasible tools for evaluation and follow-up, could result in improving quality, enhance shared decision-making, and enable global benchmarking. <b><i>Methods:</i></b> The International Consortium for Health Outcomes Measurement (ICHOM) convened an international working group, which was comprised of 14 health-care professionals (HCP) and 6 patient representatives in the field of neonatal care. An outcome set was developed using a three-round modified Delphi process, and it was endorsed through a patient representative-validation survey and an HCP survey. <b><i>Results:</i></b> A literature review revealed 1,076 articles and 26 registries which were screened for meaningful outcomes, patient-reported outcome measures, clinical measures, and case mix variables. This resulted in a neonatal set with 21 core outcomes covering three domains (physical, social, and mental functioning) and 14 tools to assess these outcomes at three timepoints. <b><i>Discussion:</i></b> This set can be implemented globally and it will allow comparison of outcomes across different settings and countries. The transparent consensus-driven development process which involved stakeholders and professionals from all over the world ensures global relevance.
DOI: 10.6084/m9.figshare.19744828
title: BUSCO Summaries for Comparison of assembplies

description: Saummary files and data to make figure 1 on the poster.
DOI: 10.6084/m9.figshare.19744828.v1
title: BUSCO Summaries for Comparison of assembplies

description: Saummary files and data to make figure 1 on the poster.
DOI: 10.25912/rdf_1652225222164
title: Australian Federal Election 2019 on Twitter
DOI: 10.34740/kaggle/dsv/3614607
title: Beach Sand Mineral (BSM)
DOI: 10.5517/ccdc.csd.cc27hw2q
title: CCDC 2070833: Experimental Crystal Structure Determination

description: Related Article: Zhi-Wen Li, Dong-Li An, Zan-Bin Wei, Yan-Yun Li, Jing-Xing Gao|2022|Tetrahedron Lett.|97|153798|doi:10.1016/j.tetlet.2022.153798
DOI: 10.5517/ccdc.csd.cc28by6s
title: CCDC 2095885: Experimental Crystal Structure Determination

description: Related Article: Buthanapalli Ramakrishna, D. Divya, Udit Kumar, Shaikh M. Mobin, Bala Manimaran|2022|J.Organomet.Chem.|972|122371|doi:10.1016/j.jorganchem.2022.122371
DOI: 10.5517/ccdc.csd.cc28by7t
title: CCDC 2095886: Experimental Crystal Structure Determination

description: Related Article: Buthanapalli Ramakrishna, D. Divya, Udit Kumar, Shaikh M. Mobin, Bala Manimaran|2022|J.Organomet.Chem.|972|122371|doi:10.1016/j.jorganchem.2022.122371
DOI: 10.5517/ccdc.csd.cc28fg7f
title: CCDC 2098304: Experimental Crystal Structure Determination

description: Related Article: Yogesh Kumar, Nikhil Kumar Singh, Vishwa Deepak Singh, Irshad Ali, Rajan Kumar Tiwari, Ajay Kumar, Daya Shankar Pandey|2022|Inorg.Chim.Acta|538|120963|doi:10.1016/j.ica.2022.120963
DOI: 10.5517/ccdc.csd.cc28fg8g
title: CCDC 2098305: Experimental Crystal Structure Determination

description: Related Article: Yogesh Kumar, Nikhil Kumar Singh, Vishwa Deepak Singh, Irshad Ali, Rajan Kumar Tiwari, Ajay Kumar, Daya Shankar Pandey|2022|Inorg.Chim.Acta|538|120963|doi:10.1016/j.ica.2022.120963
DOI: 10.5517/ccdc.csd.cc28vczh
title: CCDC 2110727: Experimental Crystal Structure Determination

description: Related Article: Kelu Yan, Xiao Liu, Min Liu, Jiangwei Wen, Mingyue Du, Yingxue Fu, Wenxin Chen|2022|Tetrahedron Lett.|97|153779|doi:10.1016/j.tetlet.2022.153779
DOI: 10.5517/ccdc.csd.cc29yk0v
title: CCDC 2143557: Experimental Crystal Structure Determination

description: Related Article: Zhi-Wen Li, Dong-Li An, Zan-Bin Wei, Yan-Yun Li, Jing-Xing Gao|2022|Tetrahedron Lett.|97|153798|doi:10.1016/j.tetlet.2022.153798
DOI: 10.5517/ccdc.csd.cc2b7g02
title: CCDC 2152113: Experimental Crystal Structure Determination

description: Related Article: Ebru Keskin, Ersan Turunc, Hakan Arslan|2022|Polyhedron|221|115846|doi:10.1016/j.poly.2022.115846
DOI: 10.5517/ccdc.csd.cc2b7g13
title: CCDC 2152114: Experimental Crystal Structure Determination

description: Related Article: Ebru Keskin, Ersan Turunc, Hakan Arslan|2022|Polyhedron|221|115846|doi:10.1016/j.poly.2022.115846
DOI: 10.5517/ccdc.csd.cc2b7g24
title: CCDC 2152115: Experimental Crystal Structure Determination

description: Related Article: Ebru Keskin, Ersan Turunc, Hakan Arslan|2022|Polyhedron|221|115846|doi:10.1016/j.poly.2022.115846
DOI: 10.5517/ccdc.csd.cc2b7g46
title: CCDC 2152117: Experimental Crystal Structure Determination

description: Related Article: Ebru Keskin, Ersan Turunc, Hakan Arslan|2022|Polyhedron|221|115846|doi:10.1016/j.poly.2022.115846
DOI: 10.5517/ccdc.csd.cc2b7tr5
title: CCDC 2152477: Experimental Crystal Structure Determination

description: Related Article: Tianhao Xu, Xiangbing Zhou, Yuhui Han, Liangwei Zhang, Long Liu, Tianzeng Huang, Chunya Li, Zhi Tang, Shungang Wan, Tieqiao Chen|2022|Tetrahedron Lett.|97|153799|doi:10.1016/j.tetlet.2022.153799
DOI: 10.5517/ccdc.csd.cc2b93pg
title: CCDC 2153715: Experimental Crystal Structure Determination

description: Related Article: Scott T. Shreiber, Gabriella I. Puchall, David A. Vicic|2022|Tetrahedron Lett.|97|153795|doi:10.1016/j.tetlet.2022.153795
DOI: 10.6084/m9.figshare.19207875.v1
title: Datasets of fingertip forces while grasping a handle with unsteady thumb platform

description: The file consists of four raw datasets that includes fingertip forces data of all the fingers and thumb collected while performing four different prehension experiments using a five-finger prehensile handle with a slider platform to place thumb. During each prehension experiment, a separate friction measuring experiment was performed. In the friction experiment, during each trial, fingertip forces and moment data were collected from either index finger or thumb. <br>Each experimental folder includes data collected during the prehension and friction experiment respectively.
DOI: 10.5281/zenodo.6537820
title: Stable Isotope Mixing Models Demonstrate the Role of an Invasive Plant in Wetland Songbirds Food Webs

description: We used analysis of natural abundance stable isotopes of <sup>13</sup>C and <sup>15</sup>N in song sparrow blood, invertebrate food sources, <em>L. latifolium </em>seeds,<em> </em>and other marsh<em> </em>plant seeds to inform Bayesian, concentration-dependent mixing models that predicted average song sparrow diets. Data presented are the csv files and R markdown code for the isotope analysis.
DOI: 10.5281/zenodo.6537819
title: Stable Isotope Mixing Models Demonstrate the Role of an Invasive Plant in Wetland Songbirds Food Webs

description: We used analysis of natural abundance stable isotopes of <sup>13</sup>C and <sup>15</sup>N in song sparrow blood, invertebrate food sources, <em>L. latifolium </em>seeds,<em> </em>and other marsh<em> </em>plant seeds to inform Bayesian, concentration-dependent mixing models that predicted average song sparrow diets. Data presented are the csv files and R markdown code for the isotope analysis.