Mapping Project Research Articles

A New Scale for Global History

A New Scale for Global History

COMAP Early Science. II. Pathfinder Instrument

Line intensity mapping (LIM) is a new technique for tracing the global properties of galaxies over cosmic time. Detection of the very faint signals from redshifted carbon monoxide (CO), a tracer of star formation, pushes the limits of what is feasible with a total-power instrument. The CO Mapping Project Pathfinder is a first-generation instrument aiming to prove the concept and develop the technology for future experiments, as well as delivering early science products. With 19 receiver channels in a hexagonal focal plane arrangement on a 10.4 m antenna and an instantaneous 26–34 GHz frequency range with 2 MHz resolution, it is ideally suited to measuring CO (J = 1–0) from z ∼ 3. In this paper we discuss strategies for designing and building the Pathfinder and the challenges that were encountered. The design of the instrument prioritized LIM requirements over those of ancillary science. After a couple of years of operation, the instrument is well understood, and the first year of data is already yielding useful science results. Experience with this Pathfinder will guide the design of the next generations of experiments.

BH04: Global Guidelines in Dermatology Mapping Project ( GUIDEMAP ): a systematic review and critical appraisal of alopecia areata clinical practice guidelines

BH04: Global Guidelines in Dermatology Mapping Project ( <scp>GUIDEMAP</scp> ): a systematic review and critical appraisal of alopecia areata clinical practice guidelines

Метафоры остановившегося времени в современной литературе

The article examines the metaphors of the stopped time, defined as artistic ways of representing the Soviet century in post-Soviet discourse. The metaphor reveals the reflection of the “dying century”, fractally connecting the beginning of the twentieth century and the modern period in the integral semiotic field of artistic historiography (post)soviet era. The purpose of the article is to show the multidimensional nature of the metaphorical interchangeability of the semantic concepts “time is history” and “history is time”. The novelty lies in the study of artistic experimental world projects, in which metaphor fixes the models “time as an illusion” and “time as a body”. The authors consider various images of the “mental chronotope” in which the metaphor of stopped time captures special altered states of consciousness (ideological, cultural and personal) that form the artistic “myth of shaken consciousness” of the twentieth century: for example, Sukhbat Aflatuni — lethargy, Sasha Filipenko — alzheimer and coma, L. Petrushevskaya — a split personality, E. Vodolazkin — a tabula rasa state, etc. The article systematizes such metaphorical forms as time-consciousness, body-time, time-labyrinth, time-fractal, etc. A. Bitov emphasizes a special collective-incorrect time, designated as an exit from the time-labyrinth of the “cult of personality” into the general space of thawing truth. The mythosemantics of the metaphorical image of time-being and time-substance combines imperial time and thanatological parasemantics and becomes the subject of analysis on the material of the novels by Kior Yanev “Southern Mangazeya” and Henri Volokhonsky “Roman the Deceased”.

The Church of the East in central Asia and China. Edited by Samuel N. C. Lieu and Glen L. Thompson. (International Union of Academies. China and the Mediterranean World Project, 67.) Pp. xiii + 245 incl. 33 colour and black-and-white ills. Turnhout: Brepols, 2020. €75. 978 2 503 58664 9

The Church of the East in central Asia and China. Edited by Samuel N. C. Lieu and Glen L. Thompson. (International Union of Academies. China and the Mediterranean World Project, 67.) Pp. xiii + 245 incl. 33 colour and black-and-white ills. Turnhout: Brepols, 2020. €75. 978 2 503 58664 9 - Volume 73 Issue 3

Automotive Software Engineering: Real-World Necessity and Significance

The automobile industry is undergoing a fundamental shift as it transitions from a mechanical to a software-intensive business, in which most innovation and competition depend on software engineering expertise. This shift is occurring due to the industry's shift from a mechanical to an electronic focus. Over the past few decades, the significance of software engineering in the automobile industry has grown substantially. As a result, it has garnered a great deal of interest from academics and industry professionals. Even though a considerable amount of information concerning automotive software engineering has been published in various scholarly journals, there needs to be a comprehensive study of this information. This systematic mapping project aims to classify and analyze the literature linked to automotive software engineering to offer a structured body of knowledge, identify well-established themes, and uncover research gaps. This study considers 679 publications from various academic fields and subfields published between 1990 and 2015. The primary studies were dissected and categorized based on five distinct dimensions of interest. In addition, potential holes in the research, as well as suggestions for directions for further investigation, are offered. The literature mainly focused on three different areas: system and software architecture and design, qualification testing, and reuse. These were the issues that were discussed the most frequently. There were fewer comparative and validation studies, and the research body needs to contain practitioner-oriented suggestions. Overall, the research activity on automotive software engineering has a high industrial relevance, but its scientific quality is relatively lower.

OpenRefocus: an open-source Qt-based tool for light field parallel refocusing

To observe targets in expanded depths of view in light field imaging, we design an open-source light field parallel refocusing code-free GUI tool named OpenRefocus, which is based on classical spatial projection integration. OpenRefocus has been successfully used for refocusing light field images selected from open-source datasets as well as captured using commercial light field cameras faster than other released light field refocusing programs. Considering its fast processing speed and user-friendly operations, OpenRefocus can be a useful tool for light field refocusing in many light field imaging applications.

“DALSTON! WHO ASKED U?”: A Knowledge-Centred Perspective on the Mapping of Socio-Spatial Relations in East London

Since the turn of the millennium, Dalston in the London Borough of Hackney has experienced fundamental change through public and private investment in new infrastructure and processes of urban restructuring. This was paralleled by the reform of the national planning system, which aimed to devolve decision-making to the local level and increase the possibilities for residents and stakeholders to participate in planning processes. However, the difficulty of translating local needs and aspirations into policy goals and broadly accepted area action plans resulted in a crisis, which, in 2018, led to the introduction of the Dalston Conversation and subsequently the revision of planning goals. It is in this context that the Relational States of Dalston mapping project generated and assembled local knowledge about the web of socio-spatial relations between different local actors and in this way highlighted the significance and fragility of the communities’ networks and their spatial dimensions. The collection, ordering, integration, and production of knowledge can be seen as part of the core work in urban planning processes and policymaking. Which forms of knowledge are routinely used in planning contexts and define the relationship between planning action and urban transformation? To what extent could the mapping of local community relations add to this knowledge and help to improve decision-making processes in contested spaces of knowledge? In what ways could a relational understanding of space and architectural modes of research and representation contribute to the analysis, conceptualisation, and communication of local community relations? This article engages with these questions, using the mapping project in Dalston as a case study.

ГЕОДЕЗІЯ, КАРТОГРАФІЯ І АЕРОФОТОЗНІМАННЯ

The aim of this work – research of topological inconsistencies during adjustment and junction of adjacent map sheets of digital topographic maps of scale 1:50000 with the use of rigorous analytical geodetic methods on the reference ellipsoid in the geoinformation environment. The research analyzes the phenomenon of topological inconsistencies of frames of adjacent digital topographic maps of 1:50000 scale within the zones of Gauss-Krueger projections and the feasibility of transition to rigorous analytical geodetic methods in the geoinformation environment during the creation of the topographic database “The Main state topographic map” by determining the differences between the vertices of the frames of digital topographic maps at a scale of 1: 50000 at the boundaries of the projection zones. This phenomenon was discovered during work at the state enterprise “Research Institute of Geodesy and Cartography”. The dependences are shown and analyzed, which show the changes in the distances between the vertices of the frames of adjacent map sheets of scale 1: 50000 in longitude and latitude. These values range from 1 mm to 8 mm, which leads to topological inconsistencies in the form of gaps and overlaps of adjacent map sheets. These gaps and overlaps complicate the process of adjustment of map sheets and make it impossible to automate the process of the junction of features into the topographic database. The scientific novelty of the research is to justify the use of rigorous analytical geodetic methods and tools instead of analog cartometric and standard methods of instrumental GIS; the use of a reference ellipsoid, not just cartographic projections, a spheroid or a sphere. The practical significance of research is the use of rigorous analytical geodetic methods that significantly minimize the values of gaps and overlaps, as the establishment of tolerances for these values does not automate the process of correct adjustment and junction of map sheets. The performed research can be used to create the topographic database “The Basic topographic map scale 1: 10000”, during the creation and updating of geospatial data in the geoinformation environment and the implementation of geodetic methods to determine the cartometric characteristics of features using GIS. Given the results of research, we can conclude that the present stage of application of geographic information systems in topographic and geodetic activities requires increasing the level of data topology and accuracy of all cartometric methods, which leads to the transition to extremely rigorous analytical geodetic methods directly on the reference ellipsoid.

Smooth Pycnophylactic Interpolation Produced by Density-Equalising Map Projections

A large amount of quantitative geospatial data is collected and aggregated in discrete enumeration units (e.g. countries or states). Smooth pycnophylactic interpolation aims to find a smooth, nonnegative function such that the area integral over each enumeration unit is equal to the aggregated data. Conventionally, smooth pycnophylactic interpolation is achieved by a cellular automaton algorithm that converts a piecewise constant function into an approximately smooth function defined on a grid of coordinates on an equal-area map. An alternative approach, proposed by Tobler in 1976, is to construct a density-equalising map projection in which areas of enumeration units are proportional to the aggregated data. A pycnophylactic interpolation can be obtained from the Jacobian of this projection. Here, we describe a software implementation of this method. Although solutions are not necessarily optimal in terms of predefined quantitative measures of smoothness, our method is computationally efficient and can potentially be used in tandem with other methods to accelerate convergence towards an optimal solution.

Abstract 2273: Unsupervised clustering of multi-omics molecular layers reveals consensus molecular subtypes showing potential therapeutic opportunities for pancreatic cancer

Abstract Introduction: Pancreatic cancer is a lethal disease showing dismal prognosis and therapeutic resistance. Previous molecular subtypes from genome or transcriptome did not show clinical relevance regarding precision strategy for optimal therapeutic options followed by precise patient classification. This study aims to uncover consensus molecular subtypes from cancer-specific multi-omics data showing clinically relevant therapeutic opportunities. Methods: We performed comprehensive analyses using the dataset from the cancer dependency map (DepMap) project, including cancer-specific molecular characterization with multi-omics data, genome-wide loss-of-function screening using the CRISPR-Cas9 system, and cancer drug sensitivity. The subtype-specific molecular signatures were validated in independent translational cohorts (TCGA-PAAD; n=150, ICGC-PACA-AU; n=461, ICGC-PACA-CA; n=317). Results: Integrative profiling of multi-omics molecular layers (Mutational signature, Copy number alteration, Transcriptome, MicroRNA, Chromatic profile, Proteome, and Metabolome) from pancreatic cancer cell lines (n=59) from the Cancer Cell Line Encyclopedia (CCLE) revealed a total of three cancer-specific molecular subtypes showing distinct tumor biology through all omics layer as well as clinical relevance with unique molecular dependency. Major molecular features of each subtype were reproducible in the validation cohorts. Subtype-specific molecular biomarkers, including mutational signature and metabolites, were identified. Finally, the target drug with subtype-specific genetic dependency was analyzed to provide precision strategy according to distinct subtypes’ molecular characterization. Conclusions: Integrative profiling from multi-omics molecular layers revealed precision strategies based on cancer-specific molecular subtypes of pancreatic cancer in terms of tumor classification and discriminative therapeutic opportunities. Prospective translational studies companion with clinical trials based on cancer-specific molecular subtypes is mandatory to establish the precision strategy for managing pancreatic cancer. Citation Format: Sung Hwan Lee, Jiyeon Park. Unsupervised clustering of multi-omics molecular layers reveals consensus molecular subtypes showing potential therapeutic opportunities for pancreatic cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 2273.

Abstract 5019: Eliminating copy number alteration effects in the gene essentiality data from the Cancer Dependency Map project

Abstract The Cancer Dependency Map project (DepMap) aims to identify cancer vulnerabilities through the in vitro study of genetic dependencies in cancer cell lines using CRISPR/Cas9 loss-of-function screens. Cas9-mediated DNA break formation induces toxic effects that are proportional with the number of cuts. Consequently, the DepMap data displays a ‘copy number alteration effect’ (CNA effect), in which sgRNAs targeting highly amplified regions of the genome produce depletion effects. Indeed, when sgRNAs target intergenic regions of amplified regions, the observed effects are comparable to the targeting of essential genes. Hence, correcting the CNA effect is crucial to reduce false positive (and increase true negative) co-dependencies between genes. Currently, the CERES methodology is used to correct for CNA effects. By applying a consensus-independent component analysis-based (consensus ICA) algorithm on gene essentiality data after CERES correction, we observed that many CNA effects are still present in the CERES-corrected data. Subsequently, we developed a methodology that outperforms CERES in removing the CNA effect. For example, we identified a set of genes mapping to chromosome 8q of sample ACH-000542 (ovarian adenocarcinoma cell line HEYA8 having amplification at chromosome 8q) having significantly lower essentiality levels compared to the rest of the genome. Whereas the CERES algorithm did not correct this effect of the chromosome 8q amplification, it was captured by consensus ICA in a consensus estimated source and was corrected by our novel methodology. After removing all CNA effects from gene essentiality data, we observed that 12.07% of co-dependency scores reported by CERES-corrected data decreased by 0.2 (on a range of -1 to 1), and 11.34% co-dependency scores increased by 0.2. In conclusion, consensus ICA-based methodology improves the correction of the CNA effect on gene essentiality data. Application of our improved method of CNA effect correction could reduce the number of false positive targets in validating biological hypotheses leading to novel therapeutic strategies in cancer. Citation Format: Arkajyoti Bhattacharya, Carlos G. Urzúa-Traslaviña, Marcel A. T. M. van Vugt, Rudolf S. N. Fehrmann. Eliminating copy number alteration effects in the gene essentiality data from the Cancer Dependency Map project [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 5019.

Deep Sequencing of Early T Stage Colorectal Cancers Reveals Disruption of Homologous Recombination Repair in Microsatellite Stable Tumours with High Mutational Burdens.

Simple SummaryStage IIIA are rare early T stage colorectal cancers that are not widely reported in genome sequencing studies. We aimed to investigate genomics features in common cancer genes associated with lymph node metastasis from these tumours. We discovered that microsatellite stable tumours with high mutational burdens showed different genomic variant frequencies compared to tumours with low mutation burdens. The high burden microsatellite stable tumours showed co-occurrence of mutations in homologous recombination DNA repair genes that where not observed in the microsatellite stable cancers with low mutational burdens. This finding highlights a potential therapeutic approach for high mutation burden microsatellite stable colorectal cancers given the successful clinical implementation of drugs blocking homologous recombination DNA repair in other cancers.Early T stage colorectal cancers (CRC) that invade lymph nodes (Stage IIIA) are rare and greatly under-represented in large-scale genomic mapping projects. We retrieved 10 Stage IIIA CRC cases, matched these to 16 Stage 1 CRC cases (T1 depth without lymph node metastasis) and carried out deep sequencing of 409 genes using the IonTorrent system. Tumour mutational burdens (TMB) ranged from 2.4 to 77.2/Mb sequenced. No stage-related mutational differences were observed, consistent with reanalysis of The Cancer Genome Atlas (TCGA) Stage I and IIIA datasets. We next examined mutational burdens and observed that the top five cancers were microsatellite stable (MSS) genotypes (mean TMB 49.3/Mb), while the other 16 MSS cancers had a mean TMB of 5.9/Mb. To facilitate comparison with TCGA hypermutator CRC, we included four microsatellite instability-high (MSI-H) samples with the high mutation burden MSS cases to form a TMB-High group. Comparison of TMB-High with TMB-Low groups revealed differences in mutational frequency of ATM, ALK, NSD1, UBR5, BCL9, CARD11, KDM5C, MN1, PTPRT and PIK3CA, with ATM and UBR5 validated in reanalysis of TCGA hypermutator Stages I and IIIA samples. Variants in ATM were restricted to the TMB-High group, and in four of five MSS specimens, we observed the co-occurrence of mutations in homologous recombination repair (HRR) genes in either two of ATM, CDK12, PTEN or ATR, with at least one of these being a likely pathogenic truncating mutation. No MSI-H specimens carried nonsense mutations in HRR genes. These findings add to our knowledge of early T stage CRC and highlight a potential therapeutic vulnerability in the HRR pathway of TMB-H MSS CRC.

Parameter and strategy adaptive differential evolution algorithm based on accompanying evolution

Differential evolution (DE) is an intelligent optimization algorithm inspired by biological evolution. Setting a mutation strategy and control parameters that meet the optimization requirements are the premise for DE to achieve good performance. This paper proposes a parameter and strategy adaptive differential evolution algorithm based on accompanying evolution (APSDE). Through the accompanying population, in which individuals are composed of suboptimal solutions, the mutation strategy and control parameters are optimized to realize the adaptation of the strategy and parameters of the main population. Population diversity is enhanced in evolution by generating reverse individuals. In addition, radial spatial projection technology is utilized to track the change in evolution direction with optimization. The performance of APSDE is validated under four sets of benchmark problem suites from the Institute of Electrical and Electronics Engineers (IEEE) Congress on Evolutionary Computation (CEC), and compared with state-of-the-art optimization algorithms. The results show that the proposed algorithm has better optimization performance than the competitive algorithms because of its efficient adaptive mechanism and its excellent population diversity.

Constraining Morphologies of Soft Tissues in Extinct Vertebrates Using Multibody Dynamic Simulations: A Case Study on Articular Cartilage of the Sauropod Dreadnoughtus

Rarity of soft tissue preservation, including of articular cartilage, in the fossil record hinders creation of biologically-realistic mechanical models. Previous studies of articular cartilage in extant taxa have documented important aspects of cartilage shapes and thicknesses, but these insights remain generalized and have yet to see systematic implementation in biomechanical modeling. Herein, we present a new method for modeling joints that allows for testing of hypotheses about articular cartilage morphology in extinct taxa. Our case study examines the left elbow joint of the sauropod dinosaurDreadnoughtus schraniusing articular cartilage reconstructions constrained by extant phylogenetic bracketing (EPB). EPB investigations of alligator and chicken articular cartilage revealed the presence of a spherical anterior projection of cartilage on the distal humerus which articulates with the radius during flexion. Importantly, this shape does not directly mirror the underlying bone. Using multibody dynamic models created in Adams™ withouta priorirestrictions on joint degrees of freedom, we simulated the effects of three alternative cartilage reconstructions based on these EPB findings which differ in mediolateral placement of a cartilage sphere and its anteroposterior thickness, encompassing a range of possibilities for the condition inDreadnoughtus. Bone kinematics and contact area (calculated in Geomagic®) were tracked. Additionally, we modeled the elbow of an alligator and turkey using the same methodology and compared the results to XROMM (X-ray Reconstruction of Moving Morphology) analysis of the same limbs. Each model produced distinct results but were generally similar supporting our modeling methodology. Based on these findings, we predict thatDreadnoughtus, and presumably other extinct archosaurs, had a spherical projection of cartilage on the anterior face of the distal end of the humerus for articulation with the radius. Though many valuable insights have been gained by existing modeling methodologies, we chose a different approach that focused on joint contact surfaces. Moreover, applying our methods within a quantitative hypothesis-testing framework can advance the field of paleobiology by testing hypotheses relating shape and kinematics that are not possible with prescribed joint motions.

Geochemistry of multiple sclerosis in Finland

Multiple sclerosis (MS) affects some 3 million people around the world and the prevalence is increasing. The MS incidence increases with distance from the equator forming a north-to-south gradient. The cause of this gradient and the cause of MS in general are largely unknown. Sulphide-bearing marine and lake sediments, when exposed to oxygen after drainage, form sulphuric acid resulting in the development of acid sulphate soils. From these soils major neurotoxic metals such as iron, aluminum and manganese and trace metals such as nickel, copper and cadmium are released into the surrounding environment. As these soils are largely used for farming, obvious routes to human metal exposure exist. Here we compare the distribution of acid sulphate soils in Finland to the geographic localisation of MS cases using data from a national acid sulphate soil mapping project and historical MS distribution data. Finland has among the highest MS prevalences in the world and several independent nationwide surveys have shown the highest prevalence in western Finland, stable over time. Acid sulphate soil distribution colocalizes with MS, both on a regional (nationwide) scale and local (proximity to rivers) scale. A toxicokinetic LADME model for MS pathogenesis is presented. We propose that neurotoxic metals leaching from acid sulphate soils contribute to the clustering of MS in Finland.

Evaluation of applying space-variant resolution modeling to attenuation correction in PET

Attenuation correction aims to recover the underestimated tracer uptake and improve the image contrast recovery in positron emission tomography (PET). However, traditional ray-tracing-based projection of attenuation maps is inaccurate as some physical effects are not considered, such as finite crystal size, inter-crystal penetration and inter-crystal scatter. In this study, we evaluated the effects of applying resolution modeling (RM) to attenuation correction by implementing space-variant RM to complement physical effects which are usually omitted in the traditional projection model. We verified this method on a brain PET scanner developed by our group, in both Monte Carlo simulation and real-world data, in comparison with space-invariant Gaussian RM, average-depth-of-interaction, and multi-ray tracing methods. The results indicate that the space-variant RM is superior in terms of artifacts reduction and contrast recovery.

Application of Video Mapping Technique in Kotak Band Video Music

In the current development of visual videography technology, especially in the creation of music video content, new media are developing very rapidly, one of which is video projection (Projection Mapping). apart from the screen. Video Mapping is one of the newest video projection techniques used to convert almost any surface into a dynamic video display. The purpose of video mapping is to create the physical illusion of an image by combining visual elements. Most of the mapping projects are used in fashion shows, corporate events, concerts, and theater performances and can be an asset in artistic music videos. This research explains how to implement video projection into an artistic asset. Then displayed in public spaces to reach a wider audience. This paper will focus on the aspect of video mapping with the technical aspects of developing the concept of the Musik Video Kotak Band project entitled Wings of Garuda by using visual elements of applying visual video mapping in music videos to convey visual messages in video projections on the faces of the band members of the Kotak band. visual delivery in projection mapping creates artistic innovation in music video visuals to minimize the number of production teams in music video projects and messages in video projection visuals can convey their messages, the visuals will be perfected in the editing process to achieve the desired contrast so that video projections on the face more visible detail.

Tradeoffs between UAS Spatial Resolution and Accuracy for Deep Learning Semantic Segmentation Applied to Wetland Vegetation Species Mapping

Recent advances in image classification of fine spatial resolution imagery from unoccupied aircraft systems (UASs) have allowed for mapping vegetation based on both multispectral reflectance and fine textural details. Convolutional neural network (CNN)-based models can take advantage of the spatial detail present in UAS imagery by implicitly learning shapes and textures associated with classes to produce highly accurate maps. However, the spatial resolution of UAS data is infrequently examined in CNN classification, and there are important tradeoffs between spatial resolution and classification accuracy. To improve the understanding of the relationship between spatial resolution and classification accuracy for a CNN-based model, we captured 7.6 cm imagery with a UAS in a wetland environment containing graminoid (grass-like) plant species and simulated a range of spatial resolutions up to 76.0 cm. We evaluated two methods for the simulation of coarser spatial resolution imagery, averaging before and after orthomosaic stitching, and then trained and applied a U-Net CNN model for each resolution and method. We found untuned overall accuracies exceeding 70% at the finest spatial resolutions, but classification accuracy decreased as spatial resolution coarsened, particularly beyond a 22.8 cm resolution. Coarsening the spatial resolution from 7.6 cm to 22.8 cm could permit a ninefold increase in survey area, with only a moderate reduction in classification accuracy. This study provides insight into the impact of the spatial resolution on deep learning semantic segmentation performance and information that can potentially be useful for optimizing precise UAS-based mapping projects.

Concurrent 9. Presentation for: Evaluating Australia’s energy commodity resources potential for a net-zero emission future

Presented on Wednesday 18 May: Session 9 Australia’s future energy production will increasingly be focused on developing clean energy resources to achieve the goal of net zero greenhouse gas emissions by 2050. To achieve this, an understanding of Australia’s natural gas resources and greenhouse gas storage potential is needed to facilitate the rapid implementation and expansion of low-emission technologies. While Australia continues to be a net gas exporter, additional volumes are needed to support future domestic manufacturing capabilities. These extra volumes can be produced from existing accumulations that are close to infrastructure or can be unlocked from highly prospective, yet underexplored regions. The coming decade will see a dramatic change in the energy mix that supports the Australian economy. A major driver will be the development of a hydrogen production industry, initially using fossil fuels with carbon capture and storage (CCS) until the cost of hydrogen production from renewable energy becomes more reliable and competitive. The expansion and projected lower costs of renewable energy generation via solar and wind will ultimately replace much of the non-renewable energies for hydrogen production. Geoscience Australia’s energy-related work program is focused on supporting Australia’s energy transformation assessments of untapped resource potential onshore include the evaluation of geologic hydrogen occurrences, the presence and suitability of subsurface salt horizons for hydrogen storage and the distribution of effective reservoir and seal fairways for underground carbon storage. While offshore, new data from Geoscience Australia’s sea-floor mapping project will improve the understanding of suitable areas for offshore wind farms. Results from these research activities are being made publicly available either through Geoscience Australia’s data portal and its data repository. To access the presentation click the link on the right. To read the full paper click here