cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18333393
title: The Geometric Theory of Causality: Emergent Gravity, Diffusive Cosmology, and the Quantum-Classical Transition

description: Data and code supporting “The Geometric Theory of Causality” - a unified geometric framework where gravitational coupling G, cosmological evolution, and quantum-to-classical transitions emerge from causal symmetry field s∈ non-minimally coupled to spacetime curvature. Includes raw ferromagnetic levitation dataset (κ=0.94157±0.017, 7 objects, 25× mass range), Python χ²/MCMC fits vs Planck/DESI ΛCDM (Δχ²≈-15), BBN acoustic constants, and LISA/CMB-S4/JWST prediction calculators. Resolves Hubble tension (ΔH∼5-9 km/s/Mpc), JWST high-z mass crisis (10-15% bias), σ8 tension via curvature-driven dynamics. Ostrogradsky-stable, falsifiable within decade.
DOI: 10.5281/zenodo.18333394
title: The Geometric Theory of Causality: Emergent Gravity, Diffusive Cosmology, and the Quantum-Classical Transition

description: Data and code supporting “The Geometric Theory of Causality” - a unified geometric framework where gravitational coupling G, cosmological evolution, and quantum-to-classical transitions emerge from causal symmetry field s∈ non-minimally coupled to spacetime curvature. Includes raw ferromagnetic levitation dataset (κ=0.94157±0.017, 7 objects, 25× mass range), Python χ²/MCMC fits vs Planck/DESI ΛCDM (Δχ²≈-15), BBN acoustic constants, and LISA/CMB-S4/JWST prediction calculators. Resolves Hubble tension (ΔH∼5-9 km/s/Mpc), JWST high-z mass crisis (10-15% bias), σ8 tension via curvature-driven dynamics. Ostrogradsky-stable, falsifiable within decade.
DOI: 10.15468/dl.jesthj
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((88.767128 24.235195, 88.690121 24.229618, 88.61503 24.213026, 88.54371999999999 24.185831, 88.477964 24.14871, 88.419387 24.102584, 88.369435 24.048598, 88.329335 23.98809, 88.300065 23.922558, 88.282332 23.853622, 88.276554 23.782983, 88.282855 23.712381, 88.301061 23.643553, 88.33070600000001 23.578191, 88.37104600000001 23.517897, 88.421081 23.464147, 88.479575 23.418258, 88.545091 23.381351, 88.61602499999999 23.354325, 88.69064400000001 23.337842, 88.767128 23.332302, 88.84361199999999 23.337842, 88.91823100000001 23.354325, 88.989165 23.381351, 89.054681 23.418258, 89.113175 23.464147, 89.16321000000001 23.517897, 89.20355000000001 23.578191, 89.23319499999999 23.643553, 89.251401 23.712381, 89.25770199999999 23.782983, 89.251924 23.853622, 89.234191 23.922558, 89.204921 23.98809, 89.164821 24.048598, 89.114869 24.102584, 89.056292 24.14871, 88.99053600000001 24.185831, 88.91922599999999 24.213026, 88.84413499999999 24.229618, 88.767128 24.235195))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004198-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dwajwf
title: Occurrence Download

description: A dataset containing 790 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Hong Kong",
 "TaxonKey is Vespa bicolor"
 ]
}

 The dataset includes 790 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004199-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zwak87
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((98.152 4.807156, 98.081491 4.801586, 98.012722 4.785012, 97.947388 4.757845, 97.887101 4.720754, 97.83334600000001 4.674654, 97.787448 4.620681, 97.750536 4.560166, 97.723517 4.494601, 97.707054 4.425601, 97.70155 4.354865, 97.707138 4.284136, 97.723675 4.215154, 97.750754 4.149618, 97.78770400000001 4.08914, 97.83361499999999 4.035208, 97.88735699999999 3.989149, 97.94760599999999 3.952095, 98.01288 3.924957, 98.081574 3.908403, 98.152 3.902839, 98.222426 3.908403, 98.29112000000001 3.924957, 98.35639399999999 3.952095, 98.41664299999999 3.989149, 98.47038499999999 4.035208, 98.516296 4.08914, 98.553246 4.149618, 98.580325 4.215154, 98.596862 4.284136, 98.60245 4.354865, 98.596946 4.425601, 98.580483 4.494601, 98.55346400000001 4.560166, 98.516552 4.620681, 98.470654 4.674654, 98.416899 4.720754, 98.356612 4.757845, 98.29127800000001 4.785012, 98.222509 4.801586, 98.152 4.807156))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004201-260120142942310/datasets/export for details.
DOI: 10.6084/m9.figshare.30038791.v1
title: Codes for the research article "A universal dual-symmetry principle for assembling complex lattices from simple interactions"

description: Experiments (Demo included):<br>"Feature&Force" live manuscript read experimental images, track the motion of particles, compute the pair correlation function, and measure the forces generated by the optical trap.Detailed illustrations are included. “*.dat”records the trajectory of particles around the optical trap.<br>Simulations (Demo included):<br>The initial states of molecular dynamics simulations is generated by the MATLAB script "main.m".Each section of "main.m" corresponds to different Archimedean lattice motif. You can modify "repeating period" and "substrate points" to select the sublattice."repeating period" is a two-element array [Nx, Ny] specifying the size of the unit cell of the sublattice.This unit cell of lattice repeats the original unit cell of the Archmedean lattice Nx times in the first lattice vector direction and Ny times in the second lattice vector."substrate points" is a cell array with dimension Nx*Ny, each element of this cell contains an array with the index of particles selected in the original unit cell.The initial state is generated as "Lattice.data". Example of "Lattice.data" shows a way of selection of (3^3.4^2)The LAMMPS script "in.DSG" runs the simulation with the initial state "Lattice.data".The interaction strength of trap can be modified through the Gaussian pair potential between particle type 1 and type 2.The interaction strength between particles can be modified through the Yukawa pair potential between particle type 2.After running in.DSG, the trajectory of the simulation is saved in the files "LAMMPS.*".
DOI: 10.15468/dl.cax7z3
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((88.767128 24.235195, 88.690121 24.229618, 88.61503 24.213026, 88.54371999999999 24.185831, 88.477964 24.14871, 88.419387 24.102584, 88.369435 24.048598, 88.329335 23.98809, 88.300065 23.922558, 88.282332 23.853622, 88.276554 23.782983, 88.282855 23.712381, 88.301061 23.643553, 88.33070600000001 23.578191, 88.37104600000001 23.517897, 88.421081 23.464147, 88.479575 23.418258, 88.545091 23.381351, 88.61602499999999 23.354325, 88.69064400000001 23.337842, 88.767128 23.332302, 88.84361199999999 23.337842, 88.91823100000001 23.354325, 88.989165 23.381351, 89.054681 23.418258, 89.113175 23.464147, 89.16321000000001 23.517897, 89.20355000000001 23.578191, 89.23319499999999 23.643553, 89.251401 23.712381, 89.25770199999999 23.782983, 89.251924 23.853622, 89.234191 23.922558, 89.204921 23.98809, 89.164821 24.048598, 89.114869 24.102584, 89.056292 24.14871, 88.99053600000001 24.185831, 88.91922599999999 24.213026, 88.84413499999999 24.229618, 88.767128 24.235195))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004202-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18332982
title: CAMELS USA 421 (Quilty and Jahangir, 2026)

description: A 421-catchment subset of the CAMELS (Catchment Attributes and MEteorology for Large-sample Studies) USA dataset as described in Quilty and Jahangir (2026): https://doi.org/10.1016/j.jhydrol.2026.134986.

Target and input data has already been pre-processed for entry into the deep learning models as shown in the related GitHub repository (https://github.com/djmq/semicontinuousDL_camelsUSA).
DOI: 10.15468/dl.4jbfxs
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((98.10599999999999 4.808156, 98.03549099999999 4.802586, 97.966722 4.786012, 97.901388 4.758845, 97.84110099999999 4.721754, 97.787346 4.675654, 97.74144800000001 4.621681, 97.70453500000001 4.561166, 97.67751699999999 4.495601, 97.66105399999999 4.426601, 97.65555000000001 4.355865, 97.661137 4.285136, 97.67767499999999 4.216154, 97.704753 4.150618, 97.741703 4.09014, 97.787615 4.036208, 97.841356 3.990149, 97.901605 3.953095, 97.96688 3.925957, 98.035574 3.909403, 98.10599999999999 3.903839, 98.17642600000001 3.909403, 98.24512 3.925957, 98.310395 3.953095, 98.370644 3.990149, 98.424385 4.036208, 98.470297 4.09014, 98.50724700000001 4.150618, 98.534325 4.216154, 98.55086300000001 4.285136, 98.55645 4.355865, 98.550946 4.426601, 98.53448299999999 4.495601, 98.507465 4.561166, 98.470552 4.621681, 98.424654 4.675654, 98.37089899999999 4.721754, 98.31061200000001 4.758845, 98.245278 4.786012, 98.176509 4.802586, 98.10599999999999 4.808156))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004203-260120142942310/datasets/export for details.
DOI: 10.15468/dl.zguktk
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((88.767128 24.235195, 88.690121 24.229618, 88.61503 24.213026, 88.54371999999999 24.185831, 88.477964 24.14871, 88.419387 24.102584, 88.369435 24.048598, 88.329335 23.98809, 88.300065 23.922558, 88.282332 23.853622, 88.276554 23.782983, 88.282855 23.712381, 88.301061 23.643553, 88.33070600000001 23.578191, 88.37104600000001 23.517897, 88.421081 23.464147, 88.479575 23.418258, 88.545091 23.381351, 88.61602499999999 23.354325, 88.69064400000001 23.337842, 88.767128 23.332302, 88.84361199999999 23.337842, 88.91823100000001 23.354325, 88.989165 23.381351, 89.054681 23.418258, 89.113175 23.464147, 89.16321000000001 23.517897, 89.20355000000001 23.578191, 89.23319499999999 23.643553, 89.251401 23.712381, 89.25770199999999 23.782983, 89.251924 23.853622, 89.234191 23.922558, 89.204921 23.98809, 89.164821 24.048598, 89.114869 24.102584, 89.056292 24.14871, 88.99053600000001 24.185831, 88.91922599999999 24.213026, 88.84413499999999 24.229618, 88.767128 24.235195))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004205-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a4cb7n
title: Occurrence Download

description: A dataset containing 498 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((46.68019 25.73569,110.31981 25.73569,110.31981 70.26431,46.68019 70.26431,46.68019 25.73569))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Dermacentor nuttalli",
 "Year 2015-2025"
 ]
}

 The dataset includes 498 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004206-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.622839
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((98.08799999999999 4.819156, 98.01749 4.813585, 97.948719 4.797012, 97.88338400000001 4.769845, 97.82309600000001 4.732754, 97.769341 4.686654, 97.72344200000001 4.632681, 97.68652899999999 4.572166, 97.65951 4.506601, 97.643047 4.4376, 97.63754299999999 4.366865, 97.643131 4.296135, 97.65966899999999 4.227154, 97.68674799999999 4.161618, 97.723698 4.10114, 97.769611 4.047208, 97.823353 4.001149, 97.88360299999999 3.964095, 97.94887799999999 3.936957, 98.017573 3.920403, 98.08799999999999 3.914839, 98.158427 3.920403, 98.22712199999999 3.936957, 98.29239699999999 3.964095, 98.352647 4.001149, 98.406389 4.047208, 98.452302 4.10114, 98.48925199999999 4.161618, 98.51633099999999 4.227154, 98.53286900000001 4.296135, 98.53845699999999 4.366865, 98.53295300000001 4.4376, 98.51649 4.506601, 98.48947099999999 4.572166, 98.452558 4.632681, 98.406659 4.686654, 98.352904 4.732754, 98.292616 4.769845, 98.227281 4.797012, 98.15851000000001 4.813585, 98.08799999999999 4.819156))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004207-260120142942310/datasets/export for details.
DOI: 10.15468/dl.pbz3tf
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((88.767172 24.235265, 88.69016499999999 24.229688, 88.615073 24.213096, 88.543764 24.185901, 88.47800700000001 24.14878, 88.41943000000001 24.102654, 88.369479 24.048668, 88.329379 23.98816, 88.30010900000001 23.922628, 88.282376 23.853692, 88.27659800000001 23.783053, 88.282899 23.712451, 88.30110500000001 23.643623, 88.330749 23.578261, 88.37109 23.517967, 88.42112400000001 23.464217, 88.479618 23.418328, 88.545135 23.381421, 88.616069 23.354395, 88.69068799999999 23.337912, 88.767172 23.332372, 88.843656 23.337912, 88.91827499999999 23.354395, 88.989209 23.381421, 89.054726 23.418328, 89.11322 23.464217, 89.16325399999999 23.517967, 89.20359500000001 23.578261, 89.233239 23.643623, 89.251445 23.712451, 89.257746 23.783053, 89.25196800000001 23.853692, 89.234235 23.922628, 89.204965 23.98816, 89.16486500000001 24.048668, 89.114914 24.102654, 89.056337 24.14878, 88.99057999999999 24.185901, 88.91927099999999 24.213096, 88.844179 24.229688, 88.767172 24.235265))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004208-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hmg7p5
title: Occurrence Download

description: A dataset containing 3530 records in GBIF matching the query:
SELECT
 '84' AS fish_cell,
 GBIF_MGRSCode(1000, decimalLatitude, decimalLongitude, 0) AS cell, -- NO randomization
 COUNT(DISTINCT speciesKey) AS species_richness
 FROM occurrence
 WHERE hasCoordinate = TRUE
 AND speciesKey IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND decimalLatitude &gt;= -20.3845909579754
 AND decimalLatitude &lt;= -16.25916876999866
 AND decimalLongitude &gt;= 117.6734736003653
 AND decimalLongitude &lt;= 124.61525846703131
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND (coordinateUncertaintyInMeters &lt;= 100 OR coordinateUncertaintyInMeters IS NULL)
 GROUP BY fish_cell, cell

 The dataset's 3530 records were derived from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004200-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4h7jdw
title: Occurrence Download

description: A dataset containing 19412 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Australia",
 "Geometry POLYGON((150.61643 -33.79107,150.7542 -33.79358,150.75947 -33.70469,150.62848 -33.7241,150.61643 -33.79107))",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 19412 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004209-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28743014
title: Strength characteristics of metakaolin and cement stabilized dredged clay at high water content

description: This study presents an experimental investigation into the strength behaviors of dredged clays with high water content, stabilized using metakaolin (MK) and Portland cement (PC). Direct shear tests were conducted on dredged clay samples treated with MK and PC, maintaining a constant PC content while varying MK content and curing times. The test results revealed a similar variation pattern in the shear stress and shear displacement curves of the stabilized clay samples. Initially, the shear stress increased linearly with shear displacement until it peaked, after which it rapidly decreased, indicating a brittle failure mode. Moreover, the cohesion values (ranging from 66.0 kPa to 1189.4 kPa) showed a linear increase with MK content ranging from 0% to 12% and 15% PC content, while the internal friction angle values (ranging from 31.8° to 49.7°) exhibited a parabolic increase with curing times ranging from 2 h to 28 days. Scanning electron microscope (SEM) images illustrated the formation of numerous amorphous hydration products during curing after the addition of MK and PC. These products filled the pores and improved the interlocking of soil particles, leading to a significantly enhanced microstructure and increased shear strength of the MK and PC stabilized soil.
DOI: 10.6084/m9.figshare.28456459
title: The effect of real curing temperatures on early age concrete strength development in massive concrete structures

description: At the early maturity stage, the curing temperature has a significant impact on the mechanical properties of concrete. Concrete cubes are cured in water baths at different temperatures—5 °C, 20 °C, 35 °C, and 50 °C—in order to measure their compressive strength. This method is predicated on the knowledge that the pace of cement hydration is strongly influenced by the curing temperature. Then, the realistic curing temperature regime was imposed where the temperature of the curing water was modified based on the temperature patterns obtained from semi-adiabatic testing of concrete mixes to simulate curing conditions in the core of massive concrete structures. Ordinary Concrete: Compared to specimens cured at an isothermal curing at 20 °C, those cured in water baths at realistic curing showed an increase in compressive strength of 48% at seven days and 18.5% at 28 days. Fly Ash 18% Replacement: Compared to specimens cured at at 20 °C, the compressive strength of those cured at realistic curing increased by 45% at seven days, with a modest rise of 0.2% by the 28th day. Slag 18% Replacement: Compared to specimens cured at 20 °C, the compressive strength of those cured at realistic curing increased significantly by 121% at seven days and by 21.7% at 28 days.
DOI: 10.6084/m9.figshare.28456459.v1
title: The effect of real curing temperatures on early age concrete strength development in massive concrete structures

description: At the early maturity stage, the curing temperature has a significant impact on the mechanical properties of concrete. Concrete cubes are cured in water baths at different temperatures—5 °C, 20 °C, 35 °C, and 50 °C—in order to measure their compressive strength. This method is predicated on the knowledge that the pace of cement hydration is strongly influenced by the curing temperature. Then, the realistic curing temperature regime was imposed where the temperature of the curing water was modified based on the temperature patterns obtained from semi-adiabatic testing of concrete mixes to simulate curing conditions in the core of massive concrete structures. Ordinary Concrete: Compared to specimens cured at an isothermal curing at 20 °C, those cured in water baths at realistic curing showed an increase in compressive strength of 48% at seven days and 18.5% at 28 days. Fly Ash 18% Replacement: Compared to specimens cured at at 20 °C, the compressive strength of those cured at realistic curing increased by 45% at seven days, with a modest rise of 0.2% by the 28th day. Slag 18% Replacement: Compared to specimens cured at 20 °C, the compressive strength of those cured at realistic curing increased significantly by 121% at seven days and by 21.7% at 28 days.