AndreaBozzo/ceres-open-data-index huggingface dataset:
2024 Dookie Long Coleoptile Wheat Trial: Genotype, Sowing Depth and Soil Strength Interactions

This dataset originates from the 2024 long coleoptile wheat trial conducted at Dookie College, Victoria, Australia. The trial investigates the interactions between wheat genotype, sowing depth, and presswheel pressure (as a proxy for soil strength) on early crop establishment and development. The core experimental design is a factorial combination of six wheat genotypes (Scepter, Calibre, Mace, Mace18, Magenta, Magenta13), two sowing depths (shallow: 30–40 mm; deep: 80–100 mm), and three presswheel pressures (light, standard, heavy), resulting in 36 treatment combinations replicated across multiple blocks. The dataset is structured across multiple Excel file (.xlsx) sheets, each representing different aspects of the trial, including experimental design, field maps, seed characteristics, soil measurements, and emergence data. Key files include treatment layouts, seed packing details, soil strength and moisture data at various depths and time points (pre-sowing, 0 days after sowing, and 12 days after sowing), temperature logger data, and detailed emergence counts over time. Soil strength was measured using a Geotester penetrometer, while gravimetric moisture and matric potential were assessed through laboratory analysis of soil cores taken at specified depths. Temperature sensors recorded hourly data at 0, 3–4, and 8–10 cm depths in selected plots. Seed characteristics such as thousand seed weight, seed size grading, and germination/vigour assessments were recorded for each genotype. The emergence data includes counts from two seeding rows per plot, tracked over multiple dates post-sowing, allowing for analysis of emergence dynamics. The dataset supports investigations into how genotype and agronomic practices influence wheat establishment under varying soil mechanical resistance and moisture conditions. All data is labelled with consistent identifiers for plot, treatment, genotype, depth, and pressure, facilitating integration across sheets. This comprehensive dataset enables robust analysis of genotype by environment by management interactions relevant to improving wheat establishment under challenging sowing conditions.

Organization: CSIRO Data Access Portal
2024 Lipson Long Coleoptile Wheat Trial: Multi-Factor Analysis of Genotype, Sowing Depth, and Soil Strength Effects on Emergence, Growth, and Yield

This dataset originates from the 2024 Lipson Long Coleoptile Wheat Trial conducted at Lipson, Eyre Peninsula, South Australia. It captures a comprehensive multi-factor field experiment designed to evaluate the effects of wheat genotype, sowing depth, and soil strength (via presswheel pressure) on crop emergence, early growth, and yield. The trial includes two core components: a genotype × sowing depth factorial and a systems experiment incorporating soil strength. Six wheat genotypes (Mace, Mace18, Magenta, Magenta13, Calibre, Scepter) were sown at two depths (shallow: 4–6 cm; deep: 8–10 cm) under three presswheel pressures (light, mid, heavy), resulting in 72 treatment combinations replicated across four blocks. The dataset is organised across multiple Excel (.xlsx) sheets, each representing specific data domains: trial metadata, treatment layout, sowing depth and coleoptile measurements, soil moisture and strength profiles, and crop performance metrics. Soil moisture was measured gravimetrically at multiple depths (0–12 cm) and time points (seeding, 6, 14, 21, and 35 days after sowing), while soil strength was assessed using a penetrometer at the same intervals. Crop assessments include emergence counts (29–44 DAS), NDVI and canopy cover (via Greenseeker and Canapeo), booting/head emergence (Zadoks scale), biomass and spike number, and grain yield and quality. Variables include plant density, coleoptile length, sowing depth, biomass, harvest index, grain yield, 1000 grain weight, screenings, test weight, and protein content. Soil and environmental data are linked to treatment identifiers and plot coordinates, enabling integration across sheets. Rainfall data from the Tumby Bay weather station is included to contextualize environmental conditions. The dataset is structured to support genotype by environment by management interaction analysis and is suitable for agronomic modelling, trait evaluation, and soil-plant interaction studies.

Organization: CSIRO Data Access Portal
Narrabri 2024 Long Coleoptile Wheat Trials: Multi-Environment, Depth, Seed Size, and Treatment Effects on Durum and Bread Wheat Performance

This dataset comprises detailed agronomic and phenotypic data from a series of wheat trials conducted in 2024 at the Narrabri, New South Wales, focusing on the performance of long coleoptile wheat genotypes under varying sowing depths, seed sizes, water regimes, and disease treatments. The collection includes multiple Excel (.xlsx) sheets, each representing different aspects of the trial: experimental diary, plot layout, multi-environment trials (MET), durum wheat trials, seed size trials, Victrado trials (irrigated and dryland), temperature logger data, GS32 dry matter biomass, and multiple plant count records across time points. The MET and Durum trials were conducted across two times of sowing (TOS1 and TOS2), with sowing depths of 4 cm and 12 cm, and included genotypes such as Mace, Scepter, Magenta, and Westcourt. Seed size trials compared small and large seeds, while Victrado trials assessed genotype responses under well-watered and dryland conditions with factorial combinations of depth and Fusarium crown rot (FCR) treatments. Data collection included emergence counts, seedling depth and length, biomass at GS32, head counts, plant height, lodging, and final harvest metrics such as grain yield, test weight, protein content, and grain size. Soil moisture was monitored using Tiny Tag and disposable probes, and neutron moisture meters (NMM) at depths from 0 to 150 cm. The dataset includes over 70 variables, with consistent identifiers for site, trial, genotype, depth, treatment, and replication. Codes such as “4cm_Mace” or “12cm_Sunchaser+” denote sowing depth, genotype, and treatment combinations. The data were collected using standard field trial protocols, with sowing conducted using tyned implements and press wheels at 25 cm row spacing. Fertiliser applications included 238 kg/ha urea and 70 kg/ha Granulock Z Extra. Herbicide applications were recorded per TOS. This dataset enables comprehensive analysis of genotype × environment × management interactions, particularly for traits associated with early vigour, drought adaptation, and disease resistance in wheat.

Organization: CSIRO Data Access Portal
Tabbita 2024 Long Coleoptile Wheat Sowing Depth Trial: Genotypic Responses to Sowing Depth and Soil Resistance in Field Conditions

This dataset documents the results of a 2024 field trial conducted by CSIRO at Tabbita, NSW, to evaluate the performance of long coleoptile wheat genotypes under varying sowing depths and soil conditions. The Excel file (.xlsx) contains 12 sheets, each representing a specific data type or collection date. The trial compared wheat genotypes sown at 4 cm and 10 cm depths, with some entries extending to 15 cm, across multiple replicates and ranges. The genotypes included standard and long coleoptile lines such as Mace, Mace18, Magenta, Magenta13, Gregory, Yitpi, Calibre, and Scepter, with suffixes indicating seed size or treatment (e.g., _sml, _std, _L, _S).

The dataset includes sowing layout maps, cone penetrometer readings taken on three dates (17th, 24th, and 30th May) to assess soil resistance at different depths, and multiple rounds of plant counts (28th May, 30th May, 5th June, 7th June, and 13th June) across different rows and depths. Elongation measurements were recorded on 28th and 30th May, with up to 10 readings per plot, providing data on early shoot growth. Final yield data is presented in the last sheet, including raw yield (kg) and adjusted yield per hectare (Ayld), calculated based on a 4 m plot length, 23 cm row spacing, and six harvested rows.

The dataset includes over 30 variables, such as genotype, sowing depth, plant counts per row, elongation measurements (ER1–ER10), and yield metrics. Codes like “Mace18_sml” denote genotype and seed size, while “4cm SD” and “10cm SD” refer to sowing depths. The data were collected using standard field protocols, with consistent plot dimensions and measurement intervals. This dataset enables analysis of genotype × environment × management interactions, particularly the influence of sowing depth and soil strength on emergence, early growth, and yield performance in long coleoptile wheat.

Organization: CSIRO Data Access Portal
Wynarka 2024 Long Coleoptile Wheat Trial: Effects of Sowing Depth, Fertiliser Placement, and Seed Size on Early Growth and Yield

This dataset captures results from a 2024 field experiment conducted at Wynarka, South Australia, to investigate the interaction between sowing depth, fertiliser placement, and seed size on the establishment and performance of long coleoptile wheat. The trial involved three experiments using the Mace18 genotype (Experiments 1 and 2) and Calibre (Experiment 3), with treatments including two sowing depths (shallow: 4–5 cm and deep: 10–12 cm), two seed sizes (standard and small), and multiple fertiliser placements (above, with, below seed, sideband, and twin-row configurations). The experiment was laid out in a randomised block design with four replicates, using 12 m × 2.2 m plots and 28 cm row spacing.

The Excel file (.xlsx) contains seven sheets. “Trial details” outlines the experimental design, site conditions, and agronomic practices including sowing date (7 May 2024), fertiliser regimes, and rainfall data. “Trial Plan Exp1” and “Trial Plan Exp2&amp;3” detail plot layouts and treatment combinations for each experiment. The “Metafile” provides metadata including sowing depths, assessment dates, and measured variables. The dataset in “Exp1_data” includes 40 plots with variables such as plant density at five time points, emergence percentage, sowing depth, coleoptile length, root and shoot biomass, NDVI across ten dates, dry biomass at GS31, GS65, and GS89, spike number, grain yield, harvest index, and 1000-grain weight. The “Exp1_soildata” sheet provides gravimetric soil moisture content at three depths (0–5, 5–10, 10–15 cm) for selected plots, measured on two dates post-sowing.

The dataset includes over 50 variables. Treatment labels (e.g., “deep_Small_fert below”) encode depth, seed size, and fertiliser placement. Biomass is recorded in g/m², NDVI as unitless indices, and grain yield in t/ha. Soil moisture is expressed as percent weight/weight. Data were collected using standard field protocols, with plant assessments based on averages from 10 plants per plot. This dataset enables detailed analysis of how agronomic practices influence early wheat establishment, biomass accumulation, and final yield under low rainfall conditions.

Organization: CSIRO Data Access Portal
Stochastic climate data for central-north Victoria (Maryborough area)

This collection provides stochastic data for rainfall, evaporation, and maximum temperature. It contains three sub-datasets, each parameterised to a different subset of the historical period: full-period (1889–2022), post-75 (1975–2022), and post-93 (1993–2022). Each sub-dataset includes 1,000 replicates for eight sites — four for rainfall, three for evaporation, and one for maximum temperature. The duration of each dataset spans from 1889 to 2021, with the final year offset due to stochastic data generation.

Organization: CSIRO Data Access Portal
Parkes observations for project PX600 semester 2020APRS_135

The Galactic Center (GC) is a key target for the radio component of Breakthrough Listen (BL) program. Offering the largest amount of stars in any given direction in the sky, the GC is widely cited as a location believed to harbour advanced civilizations, and it is also the most energetic region in the Milky Way. We aim to conduct BL-GC Survey with Parkes radio telescope for around 350 hours. We will cover the frequency range from 700 MHz to 4 GHz, utilizing the newly installed ultra-wideband receiver. Our team has already leveraged both standard and bespoke tools to construct a flexible software stack to search data for signals of interest. We will look for signals from extraterrestrial intelligence (ETI) by searching for both simple narrow-band signals and complex modulated signals. Along with that, as an ancillary science, we will also search for accelerated pulsars — likely orbiting a supermassive black hole at the centre of the Milky Way Galaxy. Data products produced during this program will also be publically available to engage larger pulsar community

Organization: CSIRO Data Access Portal
Parkes observations for project P595 semester 2025OCTS_04

We propose to continue the PULSE@Parkes project in which high school students from Australia and around the World use the Parkes radio telescope in a remote observing model to observe and analyse pulsar data. The data from some PULSE@Parkes observations are used to support the space missions, other observations supplement the P456 Pulsar Timing Array project and the remainder were chosen in order to make a detailed analysis of pulsar timing irregularities and intermittency.

Organization: CSIRO Data Access Portal
2024 Condobolin Long Coleoptile Wheat Trials: Nutrition, Seed Size, and Core Agronomic Performance Under Variable Sowing Depths and Environmental Stress

This dataset comprises three Excel (.xlsx) of interrelated field trials conducted at Condobolin, NSW, during the 2024 winter cropping season, focusing on wheat genotype performance under varying agronomic treatments and environmental conditions. The trials include a Nutrition Trial, Seed Size Trial, and a Core Trial, each exploring distinct but complementary aspects of long coleoptile wheat development. Data is structured across multiple sheets detailing experimental design, treatment applications, phenological observations, soil and environmental metrics, and yield outcomes.

Each file contains genotype-specific data across multiple ranges and rows, with treatments involving sowing depths (4 cm and 12 cm), fertilizer placement (with seed or above seed), and seed size (small or large). The Nutrition Trial includes fertilizer rate variations and detailed soil nutrient profiles, while the Seed Size Trial emphasizes seed size effects on emergence, biomass, and grain quality. The Core Trial integrates sowing time comparisons (TOS 1 and TOS 2), coleoptile measurements, and soil temperature logging.

Methodological details include precise sowing dates, herbicide and insecticide applications, NDVI readings, frost tipping scores, and maturity assessments. Soil moisture was measured gravimetrically at multiple depths pre- and post-harvest, and nutrient analyses were conducted on samples from 0–60 cm. Environmental data from Condobolin AWS provides daily temperature and rainfall records, highlighting frost events and dry periods critical to crop development.

The dataset includes over 30 variables such as genotype, sowing depth, seed size, plant counts, dry weight, grain yield, head counts, phenology scores, and grain quality metrics. Codes like “Mace18_4_W_L” or “Calibre_12_A_H” denote genotype, depth, placement, and fertilizer rate. Time-series soil temperature data is recorded at sub-minute intervals, offering high-resolution insights into thermal conditions affecting emergence. This dataset enables robust statistical analysis of genotype performance under frost-prone and moisture-limited conditions without requiring further input from the original researchers.

Organization: CSIRO Data Access Portal
2023 Emerald Wheat Emergence and Agronomic Performance Dataset: Multi-Factor Analysis of Depth, Sowing Time, and Genotype Effects

This dataset comprises detailed agronomic measurements from a multi-factor wheat trial conducted in Emerald, Queensland, designed to evaluate the effects of sowing depth (shallow vs deep), time of sowing (TOS 1: April 17 and TOS 2: May 17), and genotype type (Conventional vs LCW) across 16 wheat varieties. The trial employed a split-split plot design with three replicates per treatment combination. Data were collected for emergence (plants/m²), phenology (days to flowering and maturity), tiller counts at GS65 and GS90, total biomass, grain yield (from biomass cuts and machine harvest), harvest index, and grain quality traits including protein content, test weight, screenings percentage, and 300 seed weight.

The dataset is structured across five Excel (.xlsx and .csv), each sheet corresponding to a specific trait or analysis. Each sheet includes raw measurements, statistical summaries, and model outputs from REML-based linear mixed models fitted in GenStat. Fixed effects include TOS, depth, type, variety, and their interactions, while random effects account for replication and nested plot structures.

Environmental conditions were consistent across plots, with sowing depth and timing being the primary experimental variables. Soil strength measurements and emergence counts were taken at multiple intervals post-sowing. Data transformations and residual diagnostics were applied where necessary to meet model assumptions. The dataset includes over 150 unique plot-level observations per trait, with some plots excluded due to missing or questionable data.

Variable definitions include emergence counts (plants/m²), DTF and DTM (days), tiller counts (tillers/m²), biomass (kg/ha), grain yield (kg/ha at 12.5% moisture), HI (unitless ratio), protein (%), test weight (g), screenings (% arcsine-transformed), and seed weight (g). Codes and abbreviations are consistent across sheets, and all measurements are aligned to standard agronomic protocols. This dataset enables robust analysis of genotype performance under varying sowing conditions and supports genotype selection for improved emergence and yield stability.

Organization: CSIRO Data Access Portal
OzWheat population heading date, height and transcriptome data from 2018 and 2019 field experiments

Transcriptome abundance, phenotype (heading date and final hight), site meta data from four field experiments conducted in 2018 and 2019 respectively, which are associated with the following publication: Liu et al. (2025),  Frontier in Plant Science, Section Plant Biotechnology, Volume 16, 2025, doi: 10.3389/fpls.2025.1506434, Incorporating gene expression and environment for genomic prediction in wheat.

Organization: CSIRO Data Access Portal
Wallumbilla 2024 wheat trials: Impact of Sowing Depth, Coleoptile Traits, and Soil Strength on Emergence and Biomass Across Multiple Field Trials

This dataset comprises detailed agronomic measurements from a series of wheat field trials conducted in Roma, Queensland, designed to investigate the effects of sowing depth, coleoptile type, soil strength, and other factors on plant emergence, growth, and yield. The collection includes two primary Excel (.xlsx) files: a master data sheet containing raw and processed measurements from individual plots across multiple trials (MET, Pressure, Seed Size), and an analysis workbook summarizing statistical outputs and model selections. These main files are complemented by MET Deep Tiny Tag and MET Shallow Tiny Tag .csv files.

The master sheet documents plot-level data for each trial, including sowing conditions (depth, date, soil strength at multiple depths), plant traits (coleoptile length and diameter), emergence counts at multiple intervals (7, 14, 21 days after sowing), and final emergence. It also includes biomass and grain yield metrics, harvest index, grain quality parameters (protein, moisture, test weight, screenings), and maturity dates. Each plot is identified by location, replicate, treatment, and variety, with coleoptile type (long or conventional) and seed size (standard or large) noted where relevant.

The analysis workbook provides statistical summaries from ANOVA and regression models, highlighting significant effects and interactions among depth, variety, coleoptile type, and soil strength. It includes model selection outputs for emergence and coleoptile traits, with R² values and p-values for various combinations of predictors. Environmental conditions such as soil strength was measured at sowing and at multiple intervals post-sowing using gravimetric and pressure-based methods. Drone imagery, EM38 surveys, and weather station data were also collected to support spatial and temporal analysis.

Data was processed using GenStat with fixed and random effects models, and transformations were applied where necessary to meet distributional assumptions. The dataset includes over 70 variables, with definitions embedded in column headers and trial documentation. Codes such as LCW (long coleoptile wheat) and conventional types are used to distinguish genetic traits. The dataset is structured to support multivariate analysis and is suitable for evaluating genotype by environment interactions, emergence dynamics, and yield formation under varying agronomic conditions.

Organization: CSIRO Data Access Portal
Parkes observations for project P1378 semester 2025OCTS_01

We propose to observe 2XMM J104608.7-594306 with the Murriyang UWL receiver. This is a known thermally X-ray emitting neutron star in the Carina Nebula, which was recently discovered to show remarkable bursts of coherent radio emission. This is the first of this class of neutron stars to be seen to emit radio pulses. The primary goal of this proposal is to search for more coherent radio bursts from this object, and study their morphology, spectral features and polarization properties. These aims will provide us with crucial insights into the common emission mechanism operating over a wide range of magnetic field strengths and neutron star ages, which will help to understand the physical link between the different classes of neutron stars and their evolutionary pathways.

Organization: CSIRO Data Access Portal
Parkes observations for project P1386 semester 2025OCTS_03

J0045-7319 is a B star/pulsar binary in the Small Magellanic Cloud (SMC) with an orbital period of 51 days. The system is highly eccentric, with a closest approach of only 6 B-star radii, and it offers an unusual probe into massive stars in the SMC. Although similar systems exhibit strong dispersion measure (DM) variation during periastron arising from the stellar wind, observations in 1996 on the Parkes 70 cm receiver found no evidence of a wind from the B star. We propose a new set of observations on the Ultra-Wide Low-frequency receiver (UWL) designed to measure the wind. A null result will decrease the known upper limit on the B-star wind's contribution to DM by a factor of 9.

Organization: CSIRO Data Access Portal