cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25919/8dhd-1y90
title: Database of chemical properties of Australian biomass and waste

description: This project sought to develop a database of fuel and energy characteristics for a range of Australian biomass and wastes to support their use in a range of thermochemical technologies. The database includes biomass sourced from agriculture (wheat straw, cotton trash, sugar cane trash, chicken manure, etc), forestry (mostly woody wastes from different forestry operations including some irrigated by effluent), industrial processing (timber residues, saw dust from timber mills, bagasse from sugar industry, rice hull from rice industry, paper sludge from paper industry, etc) and urban waste (municipal solid waste, green waste and biosolids and sewage from waste water treatment facilities). The database contains relatively simple-to-use information such as proximate analysis, ultimate analysis, calorific value as well as chemical composition of mineral matter to enable project proponents to draw conclusions as to likely plant capacity and annual output. It will be updated and expanded over time as more data are available.
DOI: 10.25919/y2ac-nc84
title: Database of chemical properties of Australian biomass and waste

description: This project sought to develop a database of fuel and energy characteristics for a range of Australian biomass and wastes to support their use in a range of thermochemical technologies. The database includes biomass sourced from agriculture (wheat straw, cotton trash, sugar cane trash, chicken manure, etc), forestry (mostly woody wastes from different forestry operations including some irrigated by effluent), industrial processing (timber residues, saw dust from timber mills, bagasse from sugar industry, rice hull from rice industry, paper sludge from paper industry, etc) and urban waste (municipal solid waste, green waste and biosolids and sewage from waste water treatment facilities). The database contains relatively simple-to-use information such as proximate analysis, ultimate analysis, calorific value as well as chemical composition of mineral matter to enable project proponents to draw conclusions as to likely plant capacity and annual output. It will be updated and expanded over time as more data are available.
DOI: 10.25582/data.2021-11.2387588/2139214
title: Data for EMSL Project 51287 from November 2021
DOI: 10.25919/hyk8-2z75
title: Database of chemical properties of Australian biomass and waste

description: This project sought to develop a database of fuel and energy characteristics for a range of Australian biomass and wastes to support their use in a range of thermochemical technologies. The database includes biomass sourced from agriculture (wheat straw, cotton trash, sugar cane trash, chicken manure, etc), forestry (mostly woody wastes from different forestry operations including some irrigated by effluent), industrial processing (timber residues, saw dust from timber mills, bagasse from sugar industry, rice hull from rice industry, paper sludge from paper industry, etc) and urban waste (municipal solid waste, green waste and biosolids and sewage from waste water treatment facilities). The database contains relatively simple-to-use information such as proximate analysis, ultimate analysis, calorific value as well as chemical composition of mineral matter to enable project proponents to draw conclusions as to likely plant capacity and annual output. It will be updated and expanded over time as more data are available.
DOI: 10.25582/data.2021-11.2375089/2139215
title: Data for EMSL Project 51287 from November 2021
DOI: 10.25919/h152-w738
title: Database of chemical properties of Australian biomass and waste

description: This project sought to develop a database of fuel and energy characteristics for a range of Australian biomass and wastes to support their use in a range of thermochemical technologies. The database includes biomass sourced from agriculture (wheat straw, cotton trash, sugar cane trash, chicken manure, etc), forestry (mostly woody wastes from different forestry operations including some irrigated by effluent), industrial processing (timber residues, saw dust from timber mills, bagasse from sugar industry, rice hull from rice industry, paper sludge from paper industry, etc) and urban waste (municipal solid waste, green waste and biosolids and sewage from waste water treatment facilities). The database contains relatively simple-to-use information such as proximate analysis, ultimate analysis, calorific value as well as chemical composition of mineral matter to enable project proponents to draw conclusions as to likely plant capacity and annual output. It will be updated and expanded over time as more data are available.
DOI: 10.25919/z813-9m45
title: Database of chemical properties of Australian biomass and waste

description: This project sought to develop a database of fuel and energy characteristics for a range of Australian biomass and wastes to support their use in a range of thermochemical technologies. The database includes biomass sourced from agriculture (wheat straw, cotton trash, sugar cane trash, chicken manure, etc), forestry (mostly woody wastes from different forestry operations including some irrigated by effluent), industrial processing (timber residues, saw dust from timber mills, bagasse from sugar industry, rice hull from rice industry, paper sludge from paper industry, etc) and urban waste (municipal solid waste, green waste and biosolids and sewage from waste water treatment facilities). The database contains relatively simple-to-use information such as proximate analysis, ultimate analysis, calorific value as well as chemical composition of mineral matter to enable project proponents to draw conclusions as to likely plant capacity and annual output. It will be updated and expanded over time as more data are available.
DOI: 10.25582/data.2021-11.2383584/2139216
title: Data for EMSL Project 51287 from November 2021
DOI: 10.25919/kev6-3p92
title: Database of chemical properties of Australian biomass and waste

description: This project sought to develop a database of fuel and energy characteristics for a range of Australian biomass and wastes to support their use in a range of thermochemical technologies. The database includes biomass sourced from agriculture (wheat straw, cotton trash, sugar cane trash, chicken manure, etc), forestry (mostly woody wastes from different forestry operations including some irrigated by effluent), industrial processing (timber residues, saw dust from timber mills, bagasse from sugar industry, rice hull from rice industry, paper sludge from paper industry, etc) and urban waste (municipal solid waste, green waste and biosolids and sewage from waste water treatment facilities). The database contains relatively simple-to-use information such as proximate analysis, ultimate analysis, calorific value as well as chemical composition of mineral matter to enable project proponents to draw conclusions as to likely plant capacity and annual output. It will be updated and expanded over time as more data are available.
DOI: 10.25919/1gth-1x29
title: Database of chemical properties of Australian biomass and waste

description: This project sought to develop a database of fuel and energy characteristics for a range of Australian biomass and wastes to support their use in a range of thermochemical technologies. The database includes biomass sourced from agriculture (wheat straw, cotton trash, sugar cane trash, chicken manure, etc), forestry (mostly woody wastes from different forestry operations including some irrigated by effluent), industrial processing (timber residues, saw dust from timber mills, bagasse from sugar industry, rice hull from rice industry, paper sludge from paper industry, etc) and urban waste (municipal solid waste, green waste and biosolids and sewage from waste water treatment facilities). The database contains relatively simple-to-use information such as proximate analysis, ultimate analysis, calorific value as well as chemical composition of mineral matter to enable project proponents to draw conclusions as to likely plant capacity and annual output. It will be updated and expanded over time as more data are available.
DOI: 10.25582/data.2021-11.2385156/2139217
title: Data for EMSL Project 51287 from November 2021
DOI: 10.25919/rxzz-q275
title: Database of chemical properties of Australian biomass and waste

description: This project sought to develop a database of fuel and energy characteristics for a range of Australian biomass and wastes to support their use in a range of thermochemical technologies. The database includes biomass sourced from agriculture (wheat straw, cotton trash, sugar cane trash, chicken manure, etc), forestry (mostly woody wastes from different forestry operations including some irrigated by effluent), industrial processing (timber residues, saw dust from timber mills, bagasse from sugar industry, rice hull from rice industry, paper sludge from paper industry, etc) and urban waste (municipal solid waste, green waste and biosolids and sewage from waste water treatment facilities). The database contains relatively simple-to-use information such as proximate analysis, ultimate analysis, calorific value as well as chemical composition of mineral matter to enable project proponents to draw conclusions as to likely plant capacity and annual output. It will be updated and expanded over time as more data are available.
DOI: 10.25582/data.2021-11.2373465/2139218
title: Data for EMSL Project 51287 from November 2021
DOI: 10.25919/8et5-9v28
title: Database of chemical properties of Australian biomass and waste

description: This project sought to develop a database of fuel and energy characteristics for a range of Australian biomass and wastes to support their use in a range of thermochemical technologies. The database includes biomass sourced from agriculture (wheat straw, cotton trash, sugar cane trash, chicken manure, etc), forestry (mostly woody wastes from different forestry operations including some irrigated by effluent), industrial processing (timber residues, saw dust from timber mills, bagasse from sugar industry, rice hull from rice industry, paper sludge from paper industry, etc) and urban waste (municipal solid waste, green waste and biosolids and sewage from waste water treatment facilities). The database contains relatively simple-to-use information such as proximate analysis, ultimate analysis, calorific value as well as chemical composition of mineral matter to enable project proponents to draw conclusions as to likely plant capacity and annual output. It will be updated and expanded over time as more data are available.
DOI: 10.25919/r6md-jn33
title: Database of chemical properties of Australian biomass and waste

description: This project sought to develop a database of fuel and energy characteristics for a range of Australian biomass and wastes to support their use in a range of thermochemical technologies. The database includes biomass sourced from agriculture (wheat straw, cotton trash, sugar cane trash, chicken manure, etc), forestry (mostly woody wastes from different forestry operations including some irrigated by effluent), industrial processing (timber residues, saw dust from timber mills, bagasse from sugar industry, rice hull from rice industry, paper sludge from paper industry, etc) and urban waste (municipal solid waste, green waste and biosolids and sewage from waste water treatment facilities). The database contains relatively simple-to-use information such as proximate analysis, ultimate analysis, calorific value as well as chemical composition of mineral matter to enable project proponents to draw conclusions as to likely plant capacity and annual output. It will be updated and expanded over time as more data are available.
DOI: 10.25582/data.2021-11.2373448/2139219
title: Data for EMSL Project 51287 from November 2021
DOI: 10.25919/5nqm-ac54
title: Database of chemical properties of Australian biomass and waste

description: This project sought to develop a database of fuel and energy characteristics for a range of Australian biomass and wastes to support their use in a range of thermochemical technologies. The database includes biomass sourced from agriculture (wheat straw, cotton trash, sugar cane trash, chicken manure, etc), forestry (mostly woody wastes from different forestry operations including some irrigated by effluent), industrial processing (timber residues, saw dust from timber mills, bagasse from sugar industry, rice hull from rice industry, paper sludge from paper industry, etc) and urban waste (municipal solid waste, green waste and biosolids and sewage from waste water treatment facilities). The database contains relatively simple-to-use information such as proximate analysis, ultimate analysis, calorific value as well as chemical composition of mineral matter to enable project proponents to draw conclusions as to likely plant capacity and annual output. It will be updated and expanded over time as more data are available.
DOI: 10.25919/rqp2-dv42
title: Draft genome assembly for Solenopsis geminata - Tropical fire ant

description: Genome assembly for Solenopsis geminata - Tropical fire ant
DOI: 10.25582/data.2021-11.2373424/2139220
title: Data for EMSL Project 51287 from November 2021
DOI: 10.25919/csjc-yw52
title: Global Petrophysical Database

description: The Global Petrophysical Database (GPD) is a global compilation of petrophysical properties for a wide range of rock types, obtained using a variety of in-situ and laboratory measurement techniques. Properties include porosity, density, permeability/hydraulic conductivity, diffusion coefficients, tortuosity, thermal conductivity, specific heat capacity and radiogenic heat production. Mechanical properties are not currently included. The GPD incorporates data from several pre-existing databases (covering more than 600 publications) and more than 50 individual publications. The data can be used and analysed in many ways, such as identifying depth trends or correlations between parameters. The original purpose of this dataset was to provide information to inform site selection and post-closure safety assessments for geological disposal of radioactive waste. However, the data may be useful for a wide range of geoscientific applications, including hydrogeology, mineral exploration, geothermal studies, petroleum geology, CO2 geosequestration, H2 storage and contaminant dispersal studies. The dataset is provided in the form of a spreadsheet and CSV files corresponding to each worksheet.
DOI: 10.25582/data.2021-11.2373536/2139221
title: Data for EMSL Project 51287 from November 2021
DOI: 10.25919/h2rx-r472
title: Chromosomal genome assembly for Helicoverpa armigera (cotton bollworm)

description: Genome assembly for Helicoverpa armigera (strain GR) The genome data was generated from the GR strain using Oxford Nanopore Promethion and Illumina. The genome was assembled using FLYE assembler after read correction using Ratatosk.
DOI: 10.25919/hyh2-pm22
title: Continental Scale Hydrogeochemical Data Collection

description: This is a collation and cleaning of data from the various state (NSW, Qld, Vic, SA, NT and WA up to 2016) and Tasmania (2021), CSIRO and company data sets run through the XTHydro (TM) web application for consistency and calculations
DOI: 10.25582/data.2021-11.2373330/2139222
title: Data for EMSL Project 51287 from November 2021
DOI: 10.25582/data.2021-11.2373381/2139223
title: Data for EMSL Project 51287 from November 2021
DOI: 10.25582/data.2021-11.2373401/2139224
title: Data for EMSL Project 51287 from November 2021
DOI: 10.25582/data.2021-10.2371310/2139225
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2371343/2139226
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-11.2373336/2139227
title: Data for EMSL Project 51287 from November 2021
DOI: 10.25582/data.2021-10.2372272/2139228
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-11.2374631/2139229
title: Data for EMSL Project 51287 from November 2021
DOI: 10.25582/data.2021-10.2372644/2139230
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-11.2373439/2139231
title: Data for EMSL Project 51287 from November 2021
DOI: 10.25582/data.2021-11.2374275/2139232
title: Data for EMSL Project 51287 from November 2021
DOI: 10.25582/data.2021-11.2373645/2139233
title: Data for EMSL Project 51287 from November 2021
DOI: 10.25582/data.2021-10.2372402/2139234
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-11.2373356/2139235
title: Data for EMSL Project 51287 from November 2021
DOI: 10.25582/data.2021-11.2374668/2139236
title: Data for EMSL Project 51287 from November 2021
DOI: 10.25582/data.2021-11.2374441/2139237
title: Data for EMSL Project 51287 from November 2021
DOI: 10.25582/data.2021-10.2372256/2139238
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-11.2373464/2139239
title: Data for EMSL Project 51287 from November 2021
DOI: 10.25582/data.2021-11.2374640/2139240
title: Data for EMSL Project 51287 from November 2021
DOI: 10.25582/data.2021-10.2371870/2139241
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2372763/2139242
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2371312/2139243
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-11.2373512/2139244
title: Data for EMSL Project 51287 from November 2021
DOI: 10.25582/data.2021-11.2373371/2139245
title: Data for EMSL Project 51287 from November 2021
DOI: 10.25582/data.2021-10.2371327/2139246
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-11.2373344/2139247
title: Data for EMSL Project 51287 from November 2021
DOI: 10.25582/data.2021-10.2371445/2139248
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-11.2373421/2139249
title: Data for EMSL Project 51287 from November 2021
DOI: 10.25582/data.2021-11.2373505/2139250
title: Data for EMSL Project 51287 from November 2021
DOI: 10.25582/data.2021-11.2373600/2139251
title: Data for EMSL Project 51287 from November 2021
DOI: 10.25582/data.2021-11.2374971/2139252
title: Data for EMSL Project 51287 from November 2021
DOI: 10.25582/data.2021-11.2373511/2139253
title: Data for EMSL Project 51287 from November 2021
DOI: 10.25582/data.2021-10.2372724/2139254
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2372613/2139255
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-11.2373249/2139256
title: Data for EMSL Project 51287 from November 2021
DOI: 10.25582/data.2021-10.2372771/2139257
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2372779/2139258
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-11.2373534/2139259
title: Data for EMSL Project 51287 from November 2021
DOI: 10.25582/data.2021-11.2373604/2139260
title: Data for EMSL Project 51287 from November 2021
DOI: 10.25582/data.2021-11.2373358/2139261
title: Data for EMSL Project 51287 from November 2021
DOI: 10.25582/data.2021-10.2372240/2139262
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-11.2373537/2139263
title: Data for EMSL Project 51287 from November 2021
DOI: 10.25582/data.2021-11.2373618/2139264
title: Data for EMSL Project 51287 from November 2021
DOI: 10.25582/data.2021-11.2373612/2139265
title: Data for EMSL Project 51287 from November 2021
DOI: 10.25582/data.2021-10.2372865/2139266
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-11.2373411/2139267
title: Data for EMSL Project 51287 from November 2021
DOI: 10.25582/data.2021-11.2373551/2139268
title: Data for EMSL Project 51287 from November 2021
DOI: 10.25582/data.2021-11.2373576/2139269
title: Data for EMSL Project 51287 from November 2021
DOI: 10.25582/data.2021-11.2373373/2139270
title: Data for EMSL Project 51287 from November 2021
DOI: 10.25582/data.2021-11.2373621/2139271
title: Data for EMSL Project 51287 from November 2021
DOI: 10.25582/data.2021-10.2372404/2139272
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2372600/2139273
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-11.2373563/2139274
title: Data for EMSL Project 51287 from November 2021
DOI: 10.25582/data.2021-11.2373337/2139275
title: Data for EMSL Project 51287 from November 2021
DOI: 10.25582/data.2021-11.2373444/2139276
title: Data for EMSL Project 51287 from November 2021
DOI: 10.25582/data.2021-10.2372860/2139277
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-11.2373521/2139278
title: Data for EMSL Project 51287 from November 2021
DOI: 10.25582/data.2021-11.2373565/2139279
title: Data for EMSL Project 51287 from November 2021
DOI: 10.25582/data.2021-10.2372652/2139280
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-11.2373652/2139281
title: Data for EMSL Project 51287 from November 2021
DOI: 10.17615/y4ny-1x80
title: Supplementary instructions for imaging and analysis 

description: Supplementary instructions for acquiring and analyzing excitation contraction coupling in isolated cardiomyocytes. Main instructions are in "instructions for analysis of kymographs". Extra figures to describe these instructions are in "figures for desciptions".
DOI: 10.25582/data.2021-10.2372250/2139282
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-11.2373524/2139283
title: Data for EMSL Project 51287 from November 2021
DOI: 10.25582/data.2021-10.2372403/2139284
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2371553/2139285
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2372654/2139286
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-11.2373367/2139287
title: Data for EMSL Project 51287 from November 2021
DOI: 10.17615/4rps-7x46
title: Excel worksheets for analysis with example data and empty 

description: Worksheets for analysis of data generated from ImageJ
DOI: 10.25582/data.2021-11.2373550/2139288
title: Data for EMSL Project 51287 from November 2021
DOI: 10.25582/data.2021-11.2374472/2139289
title: Data for EMSL Project 51287 from November 2021
DOI: 10.25582/data.2021-11.2374666/2139290
title: Data for EMSL Project 51287 from November 2021
DOI: 10.17615/0q5q-4g64
title: Raw dataset used for testing of imageJ and Excel analysis 

description: A raw dataset consisting of 10 male and 10 female cardiomyocytes used for validation of analysis tools. This data was also included in the publication figures. We provide this as a resource for anyone who would like an example dataset to test the macros and analysis tools.
DOI: 10.25582/data.2021-10.2372154/2139291
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-11.2373453/2139292
title: Data for EMSL Project 51287 from November 2021
DOI: 10.25582/data.2021-11.2373544/2139293
title: Data for EMSL Project 51287 from November 2021
DOI: 10.17615/vq9q-sc87
title: Processed dataset: Female

description: Processed female dataset with associated summary files.
DOI: 10.25582/data.2021-10.2372284/2139294
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-11.2373423/2139295
title: Data for EMSL Project 51287 from November 2021
DOI: 10.25582/data.2021-10.2372373/2139296
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2372255/2139297
title: Data for EMSL Project 51287 from October 2021
DOI: 10.17615/vwg9-ej92
title: Processed dataset: Male

description: Processed dataset for isolated male cardiomyocytes.
DOI: 10.25582/data.2021-11.2373545/2139298
title: Data for EMSL Project 51287 from November 2021
DOI: 10.25582/data.2021-11.2373355/2139299
title: Data for EMSL Project 51287 from November 2021
DOI: 10.25582/data.2021-11.2374969/2139300
title: Data for EMSL Project 51287 from November 2021
DOI: 10.25582/data.2021-11.2373543/2139301
title: Data for EMSL Project 51287 from November 2021
DOI: 10.25582/data.2021-11.2373463/2139302
title: Data for EMSL Project 51287 from November 2021