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Parkes observations for project P1357 semester 2025APRS_11
No full textMeerKAT has already discovered a number of Galactic transients, which are most likely to be Rotating Radio Transients (RRATs). Previous observations of a few of these sources with the Parkes UWL receiver have proven its utility in follow-up timing observations of MeerKAT discoveries.\n MeerKAT has discovered a few more RRATs in its latest observing cycle and more good quality UWL observations of these sources are required to determine the rotational period and period derivative and also to facilitate the study of their emission properties. Therefore, we request follow-up observations of 5 new sources to achieve this and to further enable spectral and polarization studies of these sources. Given the potential link between RRATs, magnetars, and some fast radio bursts (FRBs) suggested by both observations and theories, this study could reveal more similarities between these different classes of transient sources and significantly advance our understanding of their origins
Parkes observations for project P1183 semester 2025APRS_24
No full textAfter nearly two years of monitoring, comprising 126.7 hours over 57 observations with the Parkes telescope and 49.4 hours across 101 observations with the FAST telescopes, we have determined that FRB 20220529 is an extremely active repeater. It exhibits one of the longest activity durations and a potential period. Due to frequent observations scheduled with both Parkes and FAST, we recently observed an abrupt rotation measure (RM) flare in this source. This is the first detection of such an ``RM flare'' in a fast radio burst (FRB), suggesting that the source is in an environment with occasionally erupting coronal mass ejection. This presents a unique opportunity to study the eruption environment of FRBs and investigate the relation between burst activity and other burst parameters. If confirmed, the periodicity and the ``RM flare'' of FRB 20220529 would corroborate each other and become a ``smoking gun'' of the binary origin of FRB. In our previous analysis, both Parkes and FAST observations have proven essential. While FAST's higher sensitivity has enabled the capture of many bursts, Parkes' wideband receiver has provided a good burst detection rate even during low-rate phases. Notably, during the RM flare, two high signal-to-noise ratio bursts from Parkes have been crucial in understanding the RM variations. To further investigate FRB 20220529, we have scheduled regular FAST observations every fortnight, monitoring the source for 20 minutes each time. Therefore, we also propose to monitor FRB 20220529 using the Parkes UWL receiver, ensuring high-time resolution and employing full-polarization observations
Parkes observations for project P1328 semester 2025APRS_18
No full textFast radio bursts are peculiar micro-millisecond duration transients, which have been seen to be extragalactic in origin. Since their discovery, a dichotomy has emerged in their population. Some FRBs have been seen to be repeating, while others have not been seen to be repeating. The repeating FRBs, such as FRB 20180301A, provide an unparalleled window into their circumburst environment due to their repeating nature, which can be used to constrain possible progenitor models and test underlying emission mechanisms. Additionally, FRB 20180301A has been seen to have interesting polarisation properties, such as a switch in the sign of RM, indicating a reversal in the magnetic field and a marked reduction in the linear polarisation fraction towards lower frequencies (depolarisation). The previous Parkes/Murriyang source follow-up has also revealed a temporal evolution in the dispersion measure (DM) of the source and tentative evidence for correlation in the DM and rotation measure (RM). The ultra-wideband low (UWL) receiver on Parkes/Murriyang is ideally suited to explore the wideband spectro-temporal and polarimetric behaviour of the source. We propose regular monitoring of FRB 20180301A using UWL to model the magnetic field evolution, study its circumburst media using depolarisation behaviour, and constrain any correlation of DM and RM
Australian National Wildlife Collection Images - 69114
No full textThis collection is a set of images of specimens held at the Australian National Wildlife Collection (ANWC). The ANWC is the official, gazetted, Commonwealth collection of Australia's terrestrial (land) vertebrates and covers birds, mammals, reptiles and amphibians. \n\nAs a comprehensive biological archive, it strives to document Australasia’s vertebrate biodiversity across species and their geographical ranges, and includes specimens from New Guinea and South-East Asia, as well as other parts of the world. The ANWC differs from other Australian terrestrial vertebrate collections in having a national – and indeed Australasian regional -  focus for its collection and research programs. ANWC research addresses the diversity, evolution, and conservation of Australia's wildlife, focussing on its systematics and taxonomy (study of evolutionary relationships among organisms) and biogeography, as well as on developing novel methods for unlocking and using historical genomes from specimens in spirit. \n\nThe collection comprises approximately 200,000 specimens, including skins, skeletons, bird eggs and nests, specimens in spirit, and paleontological material (subfossils).  The ANWC also holds over 60,000 wildlife sound recordings and 50,000 cryofrozen tissue samples for genetic analysis. This extensive repository supports vital work in wildlife management, conservation and biological research, whilst serving as a valuable resource for public information and scientific study.\nLineage: This dataset is one of a series holding images from the Australian National Wildlife Collection. These images were taken through ongoing imaging of the physical specimen collection, and this grouping of images is arbitrary based on the time period the images were taken, it is not a comprehensive list of all the specimens available in a taxon.\n\nAs such, this dataset may not include all images from a particular taxon and we recommend the specimen image file search which can be used to search across the image datasets to find all images from a specific taxon
Parkes observations for project P960 semester 2025APRS_14
No full textWe aim to carry out receiver pointing and characterisation tests of Parkes receivers. Typically, these tests are carried out after the receiver package is installed, but time does not always allow for proper characterisation. Receivers for consideration include UWL, MARS and 13MM packages. In addition to cross-referencing C007 for flux calibration via pointing, we aim to conduct gain-elevation and system temperature experiments using the Moon, to ensure users of the Parkes Observatory have the most accurate information available for calibration purposes
Parkes observations for project P1357 semester 2025APRS_12
No full textMeerKAT has already discovered a number of Galactic transients, which are most likely to be Rotating Radio Transients (RRATs). Previous observations of a few of these sources with the Parkes UWL receiver have proven its utility in follow-up timing observations of MeerKAT discoveries.\n MeerKAT has discovered a few more RRATs in its latest observing cycle and more good quality UWL observations of these sources are required to determine the rotational period and period derivative and also to facilitate the study of their emission properties. Therefore, we request follow-up observations of 5 new sources to achieve this and to further enable spectral and polarization studies of these sources. Given the potential link between RRATs, magnetars, and some fast radio bursts (FRBs) suggested by both observations and theories, this study could reveal more similarities between these different classes of transient sources and significantly advance our understanding of their origins
HCAS 3.3 (1988-2024) base model estimate of habitat condition (90m grid), National Connectivity Index 2.0 (NCI) and annual time series for continental Australia
No full textCitation: Valavi R, Levick SR, Lehmann EA, Liu N, Giljohann KM, Williams KJ, Collings S, Johnson S, Botha EJ, Munroe SEM, Van Niel TG, Newnham G, Paget M, Malley C, Carlile P, Gunawardana D, Lyon P, Richards AE, Tetreault Campbell S and Ferrier S (2025) HCAS 3.3 (1988-2024) base model estimate of habitat condition (90m grid), National Connectivity Index 2.0 (NCI) and annual time series for continental Australia. Data collection 65549. CSIRO, Canberra, Australia. DOI: https://data.csiro.au/collection/csiro:65549.\n\nThe data collection utilises Geoscience Australia’s archive of Landsat Earth observation imagery over 37 years from 1988 to 2024, and comprises for continental Australia:\n• the 90 m gridded (Australian Albers projection, EPSG 3577, Geographic Datum of Australia 1994) HCAS v3.3 base model (1988-2024) estimation of habitat condition for terrestrial biodiversity\n• Annual epochs of habitat condition derived from 3-, 5- and 10-year rolling averages of remotely sensed ecosystem characteristics (condition variables) from 1990, 1992 and 1997 to 2024, respectively\n• model-based uncertainty quantification as 95% confidence interval limit estimates of Habitat Condition for the long-term epoch (1988-2024) and selected short-term epochs, applying the method developed by Lehmann et al. (2025)\n• classification of long- and short-term epochs of Habitat Condition into six modification levels based on experts’ best estimate of condition (Giljohann et al., 2024) for each category of the Vegetation Assets, States and Transitions (VAST) narrative framework (Thackway and Lesslie, 2006; 2008)\n• National Connectivity Index (NCI) v2.0 (Giljohann et al., 2022) for the long-term epochs and short-term epochs using the corresponding HCAS v3.3 epoch\n• long- and short-term epochs of Connectivity-adjusted Condition (NCIC) derived from the geometric mean of corresponding NCI and HCAS epochs\n• several other datasets to support use and interpretation of the long- and short-term epochs of HCAS and NCI products, and related derivatives, including reference sites and the input remotely sensed ecosystem characteristics (i.e. Condition Variables). \n\nHCAS v3.3 (production version 3) was derived using 'ClassicHCAS' software version 0.2.0 and 'HCAS-workflow' software version 1.2.1. The NCI and NCIC are developed by DCCEEW and included in the data collection along with other derivative products, for end user convenience. The NCI has been updated using HCAS v3.3 epochs. \n\nRaster datasets (*.tif) are Cloud Optimised GeoTIFFs at 90 m grid resolution, GDA 1994 (Australian Albers, EPSG:3577). \n\nHCAS v3.3 Habitat Condition indices vary continuously from a theoretical minimum of 0.0 (ecosystem integrity removed) to a maximum of 1.0 (ecosystem integrity in reference condition). NCI also ranges continuously from 0.0 (unconnected removed habitat) to a maximum of 1.0 (fully connected intact habitat), as does the NCIC: from 0.0 (landscape ecosystem integrity functionally extinguished) to a maximum of 1.0 (landscape ecosystem integrity functionally intact and in reference condition). Both the HCAS and NCIC represent the contribution that a given site (grid cell) makes to effective area of ecosystem integrity remaining within a spatial reporting unit, as a proportion of the contribution made by a site in reference condition. \n\nData extent is defined by any data pixel intersecting a coastline polygon as defined by the land fraction dataset (Liu 2024). The data and no-data extent of each grid layer encompasses the area within the Australian Continental Exclusive Economic Zone (EEZ) (Alcock et al., 2020), excluding territories of Cocos, Christmas, Norfolk, Macquarie, Heard, and McDonald Islands, as well as Antarctica (Liu and Newnham, 2024). \n\nData are described in "Habitat Condition Assessment System (HCAS) version 3.3: A guide to the 90-metre data collection. Technical report EP2025-2979" (available from CSIRO's publication repository, see related links).\nLineage: The HCAS v3.3 product suite was developed at 90 m grid resolution in Australian Albers projection (GDA 1994) using a combination of:\n• 14 annualised time series of remotely sensed ecosystem characteristic variables, 1988 to 2024 (Levick et al., 2025), sourced from the Digital Earth Australia Surface Reflectance NBART Landsat Analysis Ready Data Collection 3 (Commonwealth of Australia, 2021) Derivative Products version 4.0.0 (Geoscience Australia, 2024; Lymburner, 2024)\n• 58 environmental covariates selected from more than 120 'non-anthropogenic' candidates largely sourced from the Terrestrial Ecosystem Research Network (TERN) compilation (Malone et al., 2025; Searle, 2023) with additional custom variables developed by Liu et al. (2025)\n• spatially inferred reference sites as training data (Giljohann et al., 2025b), sampled to represent the most intact remaining examples of Australia’s varied ecosystems and their environments (Valavi et al., 2025a)\n• spatially inferred reference sites as benchmark data (Giljohann et al., 2025b), sampled to represent both remotely sensed ecosystem characteristic variables and their environments from among the most intact remaining examples of Australia’s ecosystems, with an emphasis on individual water bodies and protected area properties (Valavi et al., 2025a).\n\nThe HCAS v3.3 reference ecosystem model (REM) was developed using a generalised additive model (GAM) with 488,619 reference sites as training data, 46 environmental covariates (selected from 58), and 14 remotely sensed ecosystem characteristic variables summarised over 37 years (1988 to 2024). The REM was used in the HCAS v3.4 base model with the 1988 to 2024 long-term epoch and 590,342 benchmark reference sites. Short-term epochs for each of the 14 remotely sensed ecosystem characteristic variables were derived as 3-, 5- or 10-year antecedent rolling averages (the target year is the end year) utilising the time series (1988 to 2024). These processing steps are detailed in Valavi et al. (2025a). \n\nModel-based uncertainty estimates were derived from more than 100 bootstrap runs applied to the sample of training and benchmark reference sites to derive 95% confidence interval limits (upper 97.5th percentile condition estimate and lower 2.5th percentile condition estimate and the 95% confidence interval width) for each 90x90m pixel of the long-term epoch (1988-2024), and selected 3-, 5-, and 10-year epochs. \n\nAll data products were derived using a 90m spatial grid in Australian Albers (GDA94 / Australian Albers). \n\nThe "Habitat Condition Assessment System (HCAS) version 3.3: A guide to the 90-metre data collection", accompanying this data collection (see related links), outlines how the HCAS v3.3 differs from the HCAS v3.1 (Valavi et al. 2025; Williams et al. 2025), and includes a general discussion of limitations of particular note, and a data quality statement. \n\nThis data collection also includes an update to the National Connectivity Index version 2.0 (NCI v2) base model using the corresponding HCAS v3.3 inputs. The NCI v2.0 method (Giljohann et al. 2022) has not changed, only the input condition data. \n\nTechnical reports provide details about the inputs, processing methods, outputs and uncertainty quantification, applied in developing HCAS version 3 series. For the latest publications see: https://research.csiro.au/biodiversity-knowledge/projects/hcas/. Contact us at [email protected] or [email protected]
Australian National Herbarium Images - restricted - 68441
No full textThe Australian National Herbarium, with approximately 1 million preserved plant specimens, is one of the three largest plant collections in Australia. It is unique among the Australian Herbaria in having a national focus for its collections, acquisition and research programs.\n\nThe Australian National Herbarium arose from the amalgamation over the years of several herbaria managed by the Commonwealth Government. These included several CSIRO herbaria, the Forest Research Institute Eucalypt Collection, the Forest Research Institute's Atherton Rainforest Collection, and the Australian National Botanic Gardens Herbarium. The CSIRO's core collection, previously known as 'Herbarium Australiense', was renamed 'Australian National Herbarium' in 1984. The Australian National Herbarium is a program of the Centre for Australian National Biodiversity Research and a contributor to Australia's Virtual Herbarium.\n\nSpecimens within the main collection have been collected and managed as a joint venture with the Australian Government's Department of Climate Change, Energy, the Environment and Water. Specimens from the Australian Tropical Herbarium have been collected and managed as a joint venture with James Cook University and the Queensland Government.\n\nThis collection of specimen images is restricted due to one of more of the following reasons:\n\n-- rare or threatened status; \n\n-- biosecurity implications;\n\n-- cultural sensitivity;\n\n-- specimen donation stipulations.\n\nIndividuals or organisations with a legitimate research use of these images can request access to the images.\n\nThe curation, databasing and digitisation of the ANH Orchidaceae floral dissection card collection was supported by funding from the Australian Orchid Foundation.\nLineage: This dataset is one of a series holding images from the Australian National Herbarium collection. These images were taken as part of a systematic project digitising the whole Herbarium collection or ongoing imaging of the physical specimen collection, and this grouping of images is arbitrary based on the time period the images were taken, it is not a comprehensive list of all the specimens available in a taxon.\n\nAs such, this dataset may not include all images from a particular taxon and we recommend the NRCA specimen image search under Scientific Domains which can be used to search across the image datasets to find all images from a specific taxon
Parkes observations for project PX500 semester 2025OCTS_02
No full textThis proposal relates to time purchased by the Chinese Academy of Sciences for Parkes follow-up confirmation and timing of FAST discoveries. As the observing time has been purchased this proposal (and the related PX501) does not require TAC grading. The primary reason for submitting a proposal is to ensure an outreach statement and that the proposal is entered into OPAL for the data archive to access. The Chinese team have two time requests. The time scheduled for the first, relating to this proposal, will be allocated in blocks of 24 hours and the data will become available in the data archive with an 18 month embargo period. The second type of time will be scheduled in shorter blocks and the data archived with a 10 year embargo
Australian National Herbarium Images - 68440
No full textThis collection is a set of images of specimens held at the Australian National Herbarium.\n\nThe Australian National Herbarium, with approximately 1 million preserved plant specimens, is one of the three largest plant collections in Australia. It is unique among the Australian Herbaria in having a national focus for its collections, acquisition and research programs.\n\nThe Australian National Herbarium arose from the amalgamation over the years of several herbaria managed by the Commonwealth Government. These included several CSIRO herbaria, the Forest Research Institute Eucalypt Collection, the Forest Research Institute's Atherton Rainforest Collection, and the Australian National Botanic Gardens Herbarium. The CSIRO's core collection, previously known as 'Herbarium Australiense', was renamed 'Australian National Herbarium' in 1984. The Australian National Herbarium is a program of the Centre for Australian National Biodiversity Research and a contributor to Australia's Virtual Herbarium.\n\nSpecimens within the main collection have been collected and managed as a joint venture with the Australian Government's Department of Climate Change, Energy, the Environment and Water. Specimens from the Australian Tropical Herbarium have been collected and managed as a joint venture with James Cook University and the Queensland Government.\n\nThe curation, databasing and digitisation of the ANH Orchidaceae floral dissection card collection was supported by funding from the Australian Orchid Foundation.\nLineage: This dataset is one of a series holding images from the Australian National Herbarium collection. These images were taken as part of a systematic project digitising the whole Herbarium collection or ongoing imaging of the physical specimen collection, and this grouping of images is arbitrary based on the time period the images were taken, it is not a comprehensive list of all the specimens available in a taxon.\n\nAs such, this dataset may not include all images from a particular taxon and we recommend the NRCA specimen image search under Scientific Domains which can be used to search across the image datasets to find all images from a specific taxon