cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15139854
title: Table 2 in A review of the Australasian genus Pseudophycis (Gadiformes: Moridae), redescribing its four species and resurrecting the name Physiculus palmatus Klunzinger, 1872, for the Australian Red Cod

description: Table 2. Selected counts for types and representative specimens of the four species of Pseudophycis.
P. palmataP. bachusP. barbataP. breviusculaMeristic character First dorsal fin raystype 11range 10 - 12mean ± std dev N 11.3 ± 0.5 47type 11range mean ± std dev 11 - 13 11.5 ± 0.6N 33type 10range 10 - 11mean ± std dev 10.2 ± 0.4N 36type 9range 8 - 10mean ± std dev N 9.2 ± 0.6 49Second dorsal fin rays5647 - 5650.7 ± 2.3474240 - 4542.5 ± 1.1335954 - 5956.0 ± 1.6364644 - 5247.6 ± 1.848Anal fin rays5550 - 5754.0 ± 1.9484542 - 4845.2 ± 1.5335954 - 6357.4 ± 2.1365049 - 5651.8 ± 2.046Pectoral fin rays2222 - 2724.3 ± 1.1282422 - 2523.8 ± 0.8382524 - 2725.7 ± 0.7312120 - 2321.9 ± 0.822Precaudal vertebrae1615 - 1816.1 ± 0.5461616 - 1716.2 ± 0.43314 - 1615.1 ± 0.6351311 - 1412.2 ± 0.648Caudal vertebrae3431 - 3432.8 ± 0.7462927 - 3028.8 ± 0.73333 - 3734.7 ± 1.0353130 - 3331.4 ± 0.748Total vertebrae4947 - 5048.8 ± 0.7474544 - 4645.0 ± 0.63348 - 5149.8 ± 0.8354442 - 4543.6 ± 0.848Lower gill rakers109 - 119.7 ± 0.6301010 - 1210.5 ± 0.6388 - 119.5 ± 0.63487 - 87.7 ± 0.423Upper gill rakers43 - 43.6 ± 0.53044 - 54.4 ± 0.5383 - 43.5 ± 0.53432 - 32.7 ± 0.423Total gill rakers1411 - 1513.3 ± 0.8301414 - 1614.9 ± 0.83812 - 1413.0 ± 0.734119 - 1210.5 ± 0.822Upper procurrent caudal fin rays55 - 87.3 ± 0.92786 - 97.2 ± 1.02365 - 75.8 ± 0.8215 - 75.9 ± 0.739Principal (branched) caudal fin rays2521 - 2622.8 ± 1.2262019 - 2421.3 ± 1.4232020 - 2221.0 ± 0.92115 - 2118.1 ± 1.338Lower procurrent caudal fin rays76 - 87.1 ± 0.42686 - 107.9 ± 1.02375 - 76.1 ± 0.8215 - 75.8 ± 0.738Total caudal fin rays3735 - 4137.3 ± 1.3423633 - 3936.4 ± 1.4233332 - 3533.0 ± 1.01826 - 3229.7 ± 1.537Transverse scale rows96 - 116109 ± 7.214112 102 - 136 118 ± 8.735123 - 162141 ± 10.5279377 - 9387.5 ± 4.717Scales above lateral line1511 - 1512.9 ± 1.4271110 - 1211.3 ± 0.83416 - 2218.1 ± 1.63077 - 97.8 ± 0.622Scales below lateral line28 - 4034.5 ± 3.8143026 - 3429.5 ± 2.4263838 - 5649.2 ± 5.0272322 - 2825.2 ± 1.916Pyloric caeca108 - 109.5 ± 0.88666.0 ± 0.02914 - 2016.0 ± 1.5207 - 87.5 ± 0.58
description: Published as part of Gomon, Martin, Struthers, Carl & Kemp, Jodie, 2021, A review of the Australasian genus Pseudophycis (Gadiformes: Moridae), redescribing its four species and resurrecting the name Physiculus palmatus Klunzinger, 1872, for the Australian Red Cod, pp. 63 in Memoirs of Museum Victoria 80 on page 63, DOI: 10.24199/j.mmv.2021.80.04, http://zenodo.org/record/8065377
DOI: 10.5281/zenodo.15139855
title: Table 3 in A review of the Australasian genus Pseudophycis (Gadiformes: Moridae), redescribing its four species and resurrecting the name Physiculus palmatus Klunzinger, 1872, for the Australian Red Cod

description: Table 3. Frequencies of selected meristic characters in Pseudophycis species. Shaded values are those of types.
Second dorsal fin rays4041424344454647484950515253545556575859NP. palmata2841067432147P. bachus1413104133P. barbata79755336P. breviuscula12111351112248Anal fin rays42434445464748495051525354555657585960616263NP. palmata154117103748P. bachus145886133P. barbata247865111136P. breviuscula7858854146Total caudal fin rays26272829303132333435363738394041NP. palmata31061921142P. bachus113691223P. barbata755118P. breviuscula1247127437Caudal vertebrae2728293031323334353637NP. palmata11326646P. bachus1918533P. barbata411127135P. breviuscula42318348Total vertebrae42434445464748495051NP. palmata21029647P. bachus620733P. barbata2819635P. breviuscula31821648Scales above lateral line78910111213141516171819202122NP. palmata41044527P. bachus6121634P. barbata4810231230P. breviuscula713222Pyloric caeca67891011121314151617181920NP. palmata1268P. bachus2929P. barbata27532120P. breviuscula448
description: Published as part of Gomon, Martin, Struthers, Carl & Kemp, Jodie, 2021, A review of the Australasian genus Pseudophycis (Gadiformes: Moridae), redescribing its four species and resurrecting the name Physiculus palmatus Klunzinger, 1872, for the Australian Red Cod, pp. 64 in Memoirs of Museum Victoria 80 on page 64, DOI: 10.24199/j.mmv.2021.80.04, http://zenodo.org/record/8065377
DOI: 10.5281/zenodo.15139856
title: Table 3 in A review of the Australasian genus Pseudophycis (Gadiformes: Moridae), redescribing its four species and resurrecting the name Physiculus palmatus Klunzinger, 1872, for the Australian Red Cod

description: Table 3. Frequencies of selected meristic characters in Pseudophycis species. Shaded values are those of types.
Second dorsal fin rays4041424344454647484950515253545556575859NP. palmata2841067432147P. bachus1413104133P. barbata79755336P. breviuscula12111351112248Anal fin rays42434445464748495051525354555657585960616263NP. palmata154117103748P. bachus145886133P. barbata247865111136P. breviuscula7858854146Total caudal fin rays26272829303132333435363738394041NP. palmata31061921142P. bachus113691223P. barbata755118P. breviuscula1247127437Caudal vertebrae2728293031323334353637NP. palmata11326646P. bachus1918533P. barbata411127135P. breviuscula42318348Total vertebrae42434445464748495051NP. palmata21029647P. bachus620733P. barbata2819635P. breviuscula31821648Scales above lateral line78910111213141516171819202122NP. palmata41044527P. bachus6121634P. barbata4810231230P. breviuscula713222Pyloric caeca67891011121314151617181920NP. palmata1268P. bachus2929P. barbata27532120P. breviuscula448
description: Published as part of Gomon, Martin, Struthers, Carl & Kemp, Jodie, 2021, A review of the Australasian genus Pseudophycis (Gadiformes: Moridae), redescribing its four species and resurrecting the name Physiculus palmatus Klunzinger, 1872, for the Australian Red Cod, pp. 64 in Memoirs of Museum Victoria 80 on page 64, DOI: 10.24199/j.mmv.2021.80.04, http://zenodo.org/record/8065377
DOI: 10.15468/dl.8hkbdf
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dryobalanops fusca"
 ]
}

 The dataset includes 35 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013383-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25946/30655760
title: Impact of local government waste managers on household food waste interventions - Interview data (de-identified)

description: The issues surrounding household food waste and its detrimental impacts on world climate, the environment and resource loss, are increasingly recognised. Globally, approximately one third of food is wasted (Pearson & Perera, 2018a), with Australian households disposing of 3.1 million tonnes of consumable food per year. Much of this is collected by local governments, here referred to as 'councils', and disposed of in landfills (Kim et al., 2021). Recognised as the least favourable option on the waste hierarchy (Edwards et al., 2017b; Papargyropoulou et al., 2014; Redlingshöfer et al., 2020), landfilling of household food waste is acknowledged as increasingly expensive and unsustainable (Benyam et al., 2020; Edwards, Burn, et al., 2018), yet it currently remains the most common practice for Australian councils (Arcadis, 2019; DEE, 2017). Councils are the primary mechanism for waste management in their communities. Over time, the demands and expectations placed on councils to manage household waste have changed. Their 'legislative scope' (Brian Dollery et al., 2006, p. 556) has expanded, as have the demands on, and changes to, waste services. The differences between councils becomes evidence through the variety of their responses to these changing socio-economic, political and environmental paradigms (Byrnes & Dollery, 2002; Willis et al., 2018). In relation to council-led household food waste interventions, these responses vary from none to complete organics diversion from landfill. For the purpose of this research, the term 'interventions' will be used to cover council-led household food waste avoidance programs and diversion from landfill. This proposed research aims to gain understandings of waste managers role in household food waste interventions so as to identify the rationale behind council-led household food waste management and interventions, or lack of, from a theoretical and practical perspective. The study will start with a systematic literature review followed by a survey targeting waste services staff in Australian councils and finishing with a series of in-depth interviews with council-based waste services staff. As well as contributing to the theoretical understanding of council-led household food waste management, the outcomes of the interviews and the surveys will seek to provide new understandings on how best to implement effective interventions, whether that is through policy, practice or further research.
DOI: 10.25946/30655760.v1
title: Impact of local government waste managers on household food waste interventions - Interview data (de-identified)

description: The issues surrounding household food waste and its detrimental impacts on world climate, the environment and resource loss, are increasingly recognised. Globally, approximately one third of food is wasted (Pearson & Perera, 2018a), with Australian households disposing of 3.1 million tonnes of consumable food per year. Much of this is collected by local governments, here referred to as 'councils', and disposed of in landfills (Kim et al., 2021). Recognised as the least favourable option on the waste hierarchy (Edwards et al., 2017b; Papargyropoulou et al., 2014; Redlingshöfer et al., 2020), landfilling of household food waste is acknowledged as increasingly expensive and unsustainable (Benyam et al., 2020; Edwards, Burn, et al., 2018), yet it currently remains the most common practice for Australian councils (Arcadis, 2019; DEE, 2017). Councils are the primary mechanism for waste management in their communities. Over time, the demands and expectations placed on councils to manage household waste have changed. Their 'legislative scope' (Brian Dollery et al., 2006, p. 556) has expanded, as have the demands on, and changes to, waste services. The differences between councils becomes evidence through the variety of their responses to these changing socio-economic, political and environmental paradigms (Byrnes & Dollery, 2002; Willis et al., 2018). In relation to council-led household food waste interventions, these responses vary from none to complete organics diversion from landfill. For the purpose of this research, the term 'interventions' will be used to cover council-led household food waste avoidance programs and diversion from landfill. This proposed research aims to gain understandings of waste managers role in household food waste interventions so as to identify the rationale behind council-led household food waste management and interventions, or lack of, from a theoretical and practical perspective. The study will start with a systematic literature review followed by a survey targeting waste services staff in Australian councils and finishing with a series of in-depth interviews with council-based waste services staff. As well as contributing to the theoretical understanding of council-led household food waste management, the outcomes of the interviews and the surveys will seek to provide new understandings on how best to implement effective interventions, whether that is through policy, practice or further research.
DOI: 10.6084/m9.figshare.31156864
title: Figures, Data, and Code for 'Quantum-Enhanced Deterministic Inference of k-Independent Set Instances on Neutral Atom Arrays'

description: This is a Figshare item containing figures, data, and code for the paper 'Quantum-Enhanced Deterministic Inference of k-Independent Set Instances on Neutral Atom Arrays.'Figure 1.pdf, Figure 2.pdf, Figure 3.pdf, and Figure 4.pdf are the PDF files for figures included in the main text of the paper.c20260205_Figshare_Fig2b.m, c20260205_Figshare_Fig2c.m, c20260205_Figshare_Fig3a.m, c20260205_Figshare_Fig3b.m, and c20260205_Figshare_Fig4ab.m are MATLAB script files which can be run without external dependencies to generate the base plots included in Figures 2(b), 2(c), 3(a), 3(b), and 4(a,b), respectively.c20260205_Figshare_EET.ipynb, NumbaMIS.py, Aquila_data_directory.zip, and Fresnel_data_directory.zip are files for analyzing the DEM costs of experimental data acquired from the QuEra Aquila device and the Fresnel Pasqal device. First, unzip the two .zip files. Then, consecutively executing the cells in the .ipynb file produces the BF-DEM or Tarjan-DEM cost for inferring k-independent sets from the experimental bitstrings.c20260205_Figshare_Tarjan.ipynb and tarjan_dem_raw.csv are files for analyzing the DEM cost scaling exponent base of the Tarjan-DEM algorithm on emulated data with varying error levels. Consecutively executing the cells in the .ipynb file, or alternatively executing just the last cell, loads the emulated data points from tarjan_dem_raw.csv and produces the analysis of the exponent base with varying error levels.All scripts and notebooks were tested in standard MATLAB (R2021a) and Python scientific computing environments (python 3.9.12, matplotlib 3.9.4, networkx 3.2.1, numba 0.60.0, numpy 2.0.2, pandas 2.3.3, scipy 1.13.1). If any issues related to software versions or computational resources arise, please contact the authors.<br><br><br><br>
DOI: 10.6084/m9.figshare.31156864.v1
title: Figures, Data, and Code for 'Quantum-Enhanced Deterministic Inference of k-Independent Set Instances on Neutral Atom Arrays'

description: This is a Figshare item containing figures, data, and code for the paper 'Quantum-Enhanced Deterministic Inference of k-Independent Set Instances on Neutral Atom Arrays.'Figure 1.pdf, Figure 2.pdf, Figure 3.pdf, and Figure 4.pdf are the PDF files for figures included in the main text of the paper.c20260205_Figshare_Fig2b.m, c20260205_Figshare_Fig2c.m, c20260205_Figshare_Fig3a.m, c20260205_Figshare_Fig3b.m, and c20260205_Figshare_Fig4ab.m are MATLAB script files which can be run without external dependencies to generate the base plots included in Figures 2(b), 2(c), 3(a), 3(b), and 4(a,b), respectively.c20260205_Figshare_EET.ipynb, NumbaMIS.py, Aquila_data_directory.zip, and Fresnel_data_directory.zip are files for analyzing the DEM costs of experimental data acquired from the QuEra Aquila device and the Fresnel Pasqal device. First, unzip the two .zip files. Then, consecutively executing the cells in the .ipynb file produces the BF-DEM or Tarjan-DEM cost for inferring k-independent sets from the experimental bitstrings.c20260205_Figshare_Tarjan.ipynb and tarjan_dem_raw.csv are files for analyzing the DEM cost scaling exponent base of the Tarjan-DEM algorithm on emulated data with varying error levels. Consecutively executing the cells in the .ipynb file, or alternatively executing just the last cell, loads the emulated data points from tarjan_dem_raw.csv and produces the analysis of the exponent base with varying error levels.All scripts and notebooks were tested in standard MATLAB (R2021a) and Python scientific computing environments (python 3.9.12, matplotlib 3.9.4, networkx 3.2.1, numba 0.60.0, numpy 2.0.2, pandas 2.3.3, scipy 1.13.1). If any issues related to software versions or computational resources arise, please contact the authors.<br><br><br><br>
DOI: 10.5281/zenodo.18491027
title: Physics-informed neural networks with band-ratio-constrained loss functions for satellite-based chlorophyll-a retrieval in optically complex inland waters
DOI: 10.5281/zenodo.18491028
title: Physics-informed neural networks with band-ratio-constrained loss functions for satellite-based chlorophyll-a retrieval in optically complex inland waters
DOI: 10.15468/dl.t6bq22
title: Occurrence Download

description: A dataset containing 579182 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pleuronectes",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 579182 records from 295 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013345-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25946/31004731
title: Impact of local government waste managers on household food waste interventions - waste services survey

description: The issues surrounding household food waste and its detrimental impacts on world climate, the environment and resource loss, are increasingly recognised. Globally, approximately one third of food is wasted (Pearson & Perera, 2018a), with Australian households disposing of 3.1 million tonnes of consumable food per year. Much of this is collected by local governments, here referred to as 'councils', and disposed of in landfills (Kim et al., 2021). Recognised as the least favourable option on the waste hierarchy (Edwards et al., 2017b; Papargyropoulou et al., 2014; Redlingshöfer et al., 2020), landfilling of household food waste is acknowledged as increasingly expensive and unsustainable (Benyam et al., 2020; Edwards, Burn, et al., 2018), yet it currently remains the most common practice for Australian councils (Arcadis, 2019; DEE, 2017). Councils are the primary mechanism for waste management in their communities. Over time, the demands and expectations placed on councils to manage household waste have changed. Their 'legislative scope' (Brian Dollery et al., 2006, p. 556) has expanded, as have the demands on, and changes to, waste services. The differences between councils becomes evidence through the variety of their responses to these changing socio-economic, political and environmental paradigms (Byrnes & Dollery, 2002; Willis et al., 2018). In relation to council-led household food waste interventions, these responses vary from none to complete organics diversion from landfill. For the purpose of this research, the term 'interventions' will be used to cover council-led household food waste avoidance programs and diversion from landfill. This proposed research aims to gain understandings of waste managers role in household food waste interventions so as to identify the rationale behind council-led household food waste management and interventions, or lack of, from a theoretical and practical perspective. The study will start with a systematic literature review followed by a survey targeting waste services staff in Australian councils and finishing with a series of in-depth interviews with council-based waste services staff. As well as contributing to the theoretical understanding of council-led household food waste management, the outcomes of the interviews and the surveys will seek to provide new understandings on how best to implement effective interventions, whether that is through policy, practice or further research.
DOI: 10.25946/31004731.v1
title: Impact of local government waste managers on household food waste interventions - waste services survey

description: The issues surrounding household food waste and its detrimental impacts on world climate, the environment and resource loss, are increasingly recognised. Globally, approximately one third of food is wasted (Pearson & Perera, 2018a), with Australian households disposing of 3.1 million tonnes of consumable food per year. Much of this is collected by local governments, here referred to as 'councils', and disposed of in landfills (Kim et al., 2021). Recognised as the least favourable option on the waste hierarchy (Edwards et al., 2017b; Papargyropoulou et al., 2014; Redlingshöfer et al., 2020), landfilling of household food waste is acknowledged as increasingly expensive and unsustainable (Benyam et al., 2020; Edwards, Burn, et al., 2018), yet it currently remains the most common practice for Australian councils (Arcadis, 2019; DEE, 2017). Councils are the primary mechanism for waste management in their communities. Over time, the demands and expectations placed on councils to manage household waste have changed. Their 'legislative scope' (Brian Dollery et al., 2006, p. 556) has expanded, as have the demands on, and changes to, waste services. The differences between councils becomes evidence through the variety of their responses to these changing socio-economic, political and environmental paradigms (Byrnes & Dollery, 2002; Willis et al., 2018). In relation to council-led household food waste interventions, these responses vary from none to complete organics diversion from landfill. For the purpose of this research, the term 'interventions' will be used to cover council-led household food waste avoidance programs and diversion from landfill. This proposed research aims to gain understandings of waste managers role in household food waste interventions so as to identify the rationale behind council-led household food waste management and interventions, or lack of, from a theoretical and practical perspective. The study will start with a systematic literature review followed by a survey targeting waste services staff in Australian councils and finishing with a series of in-depth interviews with council-based waste services staff. As well as contributing to the theoretical understanding of council-led household food waste management, the outcomes of the interviews and the surveys will seek to provide new understandings on how best to implement effective interventions, whether that is through policy, practice or further research.
DOI: 10.7910/dvn/h4tjgq
title: IPL Team Performance and Match Summary Dataset (2008–2025)

description: This dataset provides comprehensive match-level and season-level data from the Indian Premier League (IPL), covering the period from 2008 onwards. 
The dataset consists of two files: (i) a season-wise team performance dataset and (ii) a match-level summary dataset. The data include match dates, teams involved, outcomes and performance indicators. 
This dataset is designed to support research in sports analytics, performance analysis, and as contextual input for financial and event-study research examining the economic impact of IPL matches.
DOI: 10.5281/zenodo.17946370
title: Location and mapping of the human rostromedial tegmental nucleus and associated midbrain inhibitory nuclei regulating dopamine neurons.

description: This upload contains multiple data types to identify rostromedial tegmental nucleus (RMTg) and other related inhibitory nuclei in human postmortem brainstem. This work is related to the manuscript titled ‘Location and mapping of the human rostromedial tegmental nucleus and associated midbrain inhibitory nuclei regulating dopamine neurons’. Demographic information about the control cases processed and analysed is uploaded as ‘Demographic Table’. Identification of novel inhibitory neuronal clusters was performed based on distinct cell feature quantification, and these raw data are uploaded in ‘Inhibitory Neuron Data’. Further chemoarchitectonic maps were created in immunohistochemically (IHC) stained thin human post-mortem brainstem sections. Anatomically annotated images per individual case can be found in ‘Chemoarchitecture maps’. These anatomical maps were further validated in serial CV-stained sections and these annotated images are found in ‘Cytoarchitectonic maps’. For cell feature and neuronal population of IHC stained sections, micrographs of relevant regions of interest are found in ‘GABA and CV-counterstained image analysis’. Similar neuronal feature analysis was performed on CV-stained serial sections and these images are found in ‘CV analysis images’.  Finally, a list of these newly created datasets, used software and chemicals are found in ‘Key Resource Table’.