cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7033116
title: Source model inputs and results - The July 2022 Mw 7.0 Northwestern Luzon Earthquake, Philippines

description: This repository includes all the modelling inputs necessary to reproduce the results presented in 'Source Model and Characteristics of the 27 July 2022 M<sub>W</sub> 7.0 Northwestern Luzon Earthquake, Philippines' by Rimando et al. (2022) as follows: the fault geometries ('custom_fault_dip30_vaf,' 'custom_fault_dip30_abra'), the downsampled InSAR LOS deformation input ('statics'), the crustal model ('crust01'), and the run file which includes all the run parameters that were used ('luzon_run_clean'). Also included are the main outputs ('Abra_Results' and 'Vigan_Results') that Mudpy should produce using the abovementioned input files. Once an interested party downloads MudPy (MudPy v.1.0 was used for this study: https://github.com/dmelgarm/MudPy), these folders just have to be placed in their spots in the directory structure (outlined at https://github.com/dmelgarm/MudPy/wiki/) in order to reproduce the findings in Rimando et al. (2022). <br>
DOI: 10.6084/m9.figshare.20722390
title: accipiter_superciliosus_decontaminated_gx.fasta.gz

description: ........
DOI: 10.6084/m9.figshare.20722390.v1
title: accipiter_superciliosus_decontaminated_gx.fasta.gz

description: ........
DOI: 10.25400/lincolnuninz.20469417
title: Argentine stem weevil plant-mediated behavioural responses towards its biological control agent

description: New Zealand pastures largely comprising Lolium ryegrass species (Poales: Poaceae) are worth $19.6B and are subject to major pest impacts. A very severe pest is the Argentine stem weevil <em>Listronotus bonariensis</em> (Kuschel) (Coleoptera: Curculionidae). This has been previously suppressed by the importation biological control agent, <em>Microctonus</em> <em>hyperodae</em> Loan (Hymenoptera: Braconidae). However, this suppression has recently declined and is subject to investigation. It has been hypothesised that grass type influences the parasitism avoidance behaviour by the weevil and thus parasitism rates. This study explored the hypothesis using three common pasture grasses: a diploid <em>Lolium perenne</em> x <em>Lolium multiflorum</em> hybrid ryegrass (cv. Manawa), a tetraploid Italian ryegrass <em>L. multiflorum</em> Lam. (cv. Tama), and a diploid perennial ryegrass <em>L. perenne</em> L. (cv. Samson). The described laboratory-based microcosm methodology determined the extent of weevil avoidance behaviour on each of these three grasses when subjected to the parasitoid. Such reaction was gauged by the extent of reduced weevil on-plant presence and feeding compared to the control populations. Please note some behavioural, plant section by height and feeding scar raw data variables were not analysed or were not published. In the absence of the parasitoid, the hybrid cv. Manawa ryegrass is as highly favoured by the weevil as the tetraploid cv. Tama. On diploid cv. Samson, feeding is considerably less. In the presence of the parasitoid, weevils on the tetraploid cv. Tama plants showed little avoidance activity in response to the parasitoid and it can be argued that the benefits of staying on this plant outweighed the possibility of parasitism. Conversely and surprisingly, in the parasitoid’s presence, weevils on diploid cv. Manawa showed very strong avoidance behaviour leading to levels of exposure similar to those found on the less-preferred diploid cv. Samson. These findings reflect how weevil parasitism rates have declined in most Lolium grasses, particularly diploids, since the 1990s, but not in the tetraploid <em>L. multiflorum</em>. This contribution supports the hypothesis that the decline in weevil parasitism rates has been the result of rapid evolution arising from parasitoid-induced selection pressure and the countervailing effect of the nutritional quality of the host plants.
DOI: 10.25400/lincolnuninz.20469417.v1
title: Argentine stem weevil plant-mediated behavioural responses towards its biological control agent

description: New Zealand pastures largely comprising Lolium ryegrass species (Poales: Poaceae) are worth $19.6B and are subject to major pest impacts. A very severe pest is the Argentine stem weevil <em>Listronotus bonariensis</em> (Kuschel) (Coleoptera: Curculionidae). This has been previously suppressed by the importation biological control agent, <em>Microctonus</em> <em>hyperodae</em> Loan (Hymenoptera: Braconidae). However, this suppression has recently declined and is subject to investigation. It has been hypothesised that grass type influences the parasitism avoidance behaviour by the weevil and thus parasitism rates. This study explored the hypothesis using three common pasture grasses: a diploid <em>Lolium perenne</em> x <em>Lolium multiflorum</em> hybrid ryegrass (cv. Manawa), a tetraploid Italian ryegrass <em>L. multiflorum</em> Lam. (cv. Tama), and a diploid perennial ryegrass <em>L. perenne</em> L. (cv. Samson). The described laboratory-based microcosm methodology determined the extent of weevil avoidance behaviour on each of these three grasses when subjected to the parasitoid. Such reaction was gauged by the extent of reduced weevil on-plant presence and feeding compared to the control populations. Please note some behavioural, plant section by height and feeding scar raw data variables were not analysed or were not published. In the absence of the parasitoid, the hybrid cv. Manawa ryegrass is as highly favoured by the weevil as the tetraploid cv. Tama. On diploid cv. Samson, feeding is considerably less. In the presence of the parasitoid, weevils on the tetraploid cv. Tama plants showed little avoidance activity in response to the parasitoid and it can be argued that the benefits of staying on this plant outweighed the possibility of parasitism. Conversely and surprisingly, in the parasitoid’s presence, weevils on diploid cv. Manawa showed very strong avoidance behaviour leading to levels of exposure similar to those found on the less-preferred diploid cv. Samson. These findings reflect how weevil parasitism rates have declined in most Lolium grasses, particularly diploids, since the 1990s, but not in the tetraploid <em>L. multiflorum</em>. This contribution supports the hypothesis that the decline in weevil parasitism rates has been the result of rapid evolution arising from parasitoid-induced selection pressure and the countervailing effect of the nutritional quality of the host plants.
DOI: 10.25911/y8a3-t990
title: ANU Workers Compensation Losses 2022

description: Workers’ compensation provides cash and medical benefits to workers who are injured or become ill in the course of their employment and provides cash benefits to the survivors of workers killed on the job. In workers’ compensation systems, covered workers are entitled to medical care for their covered injuries or illnesses, and disability benefits to partially replace lost wages. In addition, the survivors of a worker who dies as a result of a covered injury or illness are provided benefits. In general, any injury, illness, or death that arises out of a person’s employment is covered. To get a sense of the size of this obligation, the 2020 ANU annual report (page 97) lists the current liability provision for workers’ compensation to be 2.588 million AUD and the non-current liability provision to be 21.638 million AUD. This loss data set ranges from January 2017 to September 2019. A more detailed description of the data and ANU's risk management context is available at Frees and Butt (2022), "ANU insurable risks," Australian National University Open Research Library, https://doi.org/10.25911/0SE7-N746.
DOI: 10.13012/b2idb-3813848_v1
title: Simulation setup for "Percolation transition prescribes protein size-specific barrier to passive transport through the nuclear pore complex."

description: Example scripts and configuration files needed to perform select simulations described in the manuscript "Percolation transition prescribes protein size-specific barrier to passive transport through the nuclear pore complex."
DOI: 10.25911/jcfx-zj56
title: ANU Group Personal Accident Claims 2022

description: The Australian National University (ANU) purchases group personal accident insurance that offers financial protection in case of injury or death resulting from an incident that occurs on the job. Like workers’ compensation, group personal accident offers insurance coverage and liability insurance protection against accidental death or injury. Unlike workers’ compensation, group personal accident covers students and ANU’s voluntary workers. This dataset provides insured losses under ANU's group personal accident insurance policy. These data were accessed on 29 July 2022. A more detailed description of the data and ANU's risk management context is available at Frees and Butt (2022), "ANU insurable risks," Australian National University Open Research Library, https://doi.org/10.25911/0SE7-N746.
DOI: 10.25911/ymnw-6a81
title: ANU Unimutual Claims 2022

description: Prior to 31 October 2020, several of ANU's risk exposure were covered by Unimutual. Unimutual, formed in 1989, is an insurance mutual pool whose members consist of Australian universities, higher education providers, and associated entities. As of the end of 2020, there were 26 universities and 27 non-University members. Like many insurance pools, it was formed because commercial insurers did not provide coverage for risks faced by a specific marketplace, in this case the higher education sector. The Unimutual data on ANU's losses for these risks were accessed on 18 August 2020. This database covers Unimutual claims for the period 1 November 2009 to 31 October 2020. A more detailed description of the data and ANU's risk management context is available at Frees and Butt (2022), "ANU insurable risks," Australian National University Open Research Library, https://doi.org/10.25911/0SE7-N746.
DOI: 10.25911/74sx-x144
title: ANU Self Insurance Reserve Pool Losses 2022

description: Major universities such as ANU organize budget responsibilities by layers, beginning from smaller units such as colleges and departments. In addition, ANU owns or is affiliated with several other organizations such as ANU Enterprise Pty Ltd, ANU Union, and so forth. Rather than have each financially responsible unit purchase insurance according to their own needs, in 1994 ANU organized the so-called "Self-Insurance Reserve" or SIR for short. The Self Insurance Reserve (SIR) pool is "for insurance losses that except for the policy excess or coverage limit, would otherwise be covered under the commercial insurance program." In this way, the university facilitates economies of scale and reduces costs of insurance purchases. These data are for losses over the years 2012-2020. A more detailed description of the data and ANU's risk management context is available at Frees and Butt (2022), "ANU insurable risks," Australian National University Open Research Library, https://doi.org/10.25911/0SE7-N746.
DOI: 10.25911/g7e4-9e46
title: ANU Motor Vehicle Claims 2022

description: The Australian National University (ANU) purchases motor vehicle insurance that covers ANU's vehicles including cars, vans, utilities, and motorcycles. There are two parts to this coverage, one for comprehensive damage to the insured vehicles and a second for legal liability. These data began in underwriting year 2012 and were accessed on 8 August 2022. A more detailed description of the data and ANU's risk management context is available at Frees and Butt (2022), "ANU insurable risks," Australian National University Open Research Library, https://doi.org/10.25911/0SE7-N746.
DOI: 10.25911/vrdw-9f32
title: ANU Corporate Travel Insurance Claims 2022

description: Like many large organizations, the Australian National University (ANU) has extensive risk control activities in place focusing on risk avoidance, loss prevention or reduction, and so-called “risk control transfer” (whereby the responsibility of the risk may be transferred). These activities are designed to mitigate the financial impact that a risk can have on the organization. Anticipating, and reducing the potential impact of, risks are critical activities of risk managers and are not described further in this report. Within this broad suite of risk control activities, universities like ANU purchase corporate travel insurance policies to cover employees and students traveling on official university business for a wide variety of accidents and incidents while away from the campus or primary workplace. This broad coverage includes medical care and evacuation, loss of personal property, extraction for political and weather related reasons, and more. This dataset provides insured losses under ANU's corporate travel policy. These data were accessed on 29 July 2022. Compared to other coverages, the data history is long and stable. This coverage began on 1 November 2006. A more detailed description of the data and ANU's risk management context is available at Frees and Butt (2022), "ANU insurable risks," Australian National University Open Research Library, https://doi.org/10.25911/0SE7-N746.
DOI: 10.34740/kaggle/dsv/4136909
title: split ids data for classification pfe master
DOI: 10.34740/kaggle/dsv/4136927
title: split ids data for classification pfe master
DOI: 10.25574/47252
title: Chandra X-ray Observatory ObsId 47252
DOI: 10.25574/47260
title: Chandra X-ray Observatory ObsId 47260
DOI: 10.25574/47261
title: Chandra X-ray Observatory ObsId 47261
DOI: 10.25574/47264
title: Chandra X-ray Observatory ObsId 47264
DOI: 10.25574/47265
title: Chandra X-ray Observatory ObsId 47265
DOI: 10.25574/47269
title: Chandra X-ray Observatory ObsId 47269
DOI: 10.25574/47270
title: Chandra X-ray Observatory ObsId 47270
DOI: 10.25574/47276
title: Chandra X-ray Observatory ObsId 47276
DOI: 10.25574/47278
title: Chandra X-ray Observatory ObsId 47278
DOI: 10.25574/47285
title: Chandra X-ray Observatory ObsId 47285
DOI: 10.25574/47288
title: Chandra X-ray Observatory ObsId 47288
DOI: 10.25574/47295
title: Chandra X-ray Observatory ObsId 47295
DOI: 10.25574/47298
title: Chandra X-ray Observatory ObsId 47298
DOI: 10.25574/47304
title: Chandra X-ray Observatory ObsId 47304
DOI: 10.25574/47309
title: Chandra X-ray Observatory ObsId 47309
DOI: 10.25574/47316
title: Chandra X-ray Observatory ObsId 47316
DOI: 10.25574/47321
title: Chandra X-ray Observatory ObsId 47321
DOI: 10.15156/bio/sh0810311.10fu
title: SH0810311.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0810312.10fu
title: SH0810312.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0810313.10fu
title: SH0810313.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0810314.10fu
title: SH0810314.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0810315.10fu
title: SH0810315.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0810316.10fu
title: SH0810316.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0810317.10fu
title: SH0810317.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0810318.10fu
title: SH0810318.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.