cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18190475
title: VCFcache blueprint gnomAD v4.1 joint GRCh37 (AF ≥ 0.001, lifted from GRCh38)

description: Abstract VCFcache blueprint derived from gnomAD v4.1 joint frequency data, lifted over from GRCh38 to GRCh37 (hg19).

Note This blueprint does not contain annotations. A combined cache+blueprint bundle can be downloaded from the corresponding cache record.

Note This is a liftover from GRCh38. For native GRCh38 analysis, use the GRCh38 blueprint instead.

Contents This blueprint contains 98.9M high-quality variant sites lifted over from GRCh38 to GRCh37 using CrossMap and then filtered to allele frequency (AF) ≥ 0.001 (0.1% or 1 in 1000 individuals). All genotype and INFO fields have been removed, retaining only genomic positions (CHROM, POS, REF, ALT). Multiallelic sites have been split into separate records.

Technical detailsCoverage: chr1-22, chrX, chrY (GRCh37 coordinates)Source: gnomAD v4.1.0 joint frequency (807,162 samples)Processing: GRCh38→GRCh37 liftover, AF-filtered (≥0.1%), normalized,GT/INFO removed, multiallelics split

Purpose This blueprint serves as a foundation for building annotation caches with tools like VEP, SnpEff, or bcftools +split-vep, enabling rapid annotation of sample VCFs using GRCh37/hg19 coordinates with common variants (≥1% population frequency).

Setup: vcfcache blueprint-init --doi <DOI> -o <output_dir>

Usage: vcfcache cache-build --db <blueprint_dir> -a annotation.yaml -n <name>

Documentation: VCFcache wiki
description: Liftover from GRCh38 to GRCh37 performed using CrossMap.
Reference: hg38ToHg19.over.chain.gz from UCSC Genome Browser.
DOI: 10.5281/zenodo.18190474
title: VCFcache blueprint gnomAD v4.1 joint GRCh37 (AF ≥ 0.001, lifted from GRCh38)

description: Abstract VCFcache blueprint derived from gnomAD v4.1 joint frequency data, lifted over from GRCh38 to GRCh37 (hg19).

Note This blueprint does not contain annotations. A combined cache+blueprint bundle can be downloaded from the corresponding cache record.

Note This is a liftover from GRCh38. For native GRCh38 analysis, use the GRCh38 blueprint instead.

Contents This blueprint contains 98.9M high-quality variant sites lifted over from GRCh38 to GRCh37 using CrossMap and then filtered to allele frequency (AF) ≥ 0.001 (0.1% or 1 in 1000 individuals). All genotype and INFO fields have been removed, retaining only genomic positions (CHROM, POS, REF, ALT). Multiallelic sites have been split into separate records.

Technical detailsCoverage: chr1-22, chrX, chrY (GRCh37 coordinates)Source: gnomAD v4.1.0 joint frequency (807,162 samples)Processing: GRCh38→GRCh37 liftover, AF-filtered (≥0.1%), normalized,GT/INFO removed, multiallelics split

Purpose This blueprint serves as a foundation for building annotation caches with tools like VEP, SnpEff, or bcftools +split-vep, enabling rapid annotation of sample VCFs using GRCh37/hg19 coordinates with common variants (≥1% population frequency).

Setup: vcfcache blueprint-init --doi <DOI> -o <output_dir>

Usage: vcfcache cache-build --db <blueprint_dir> -a annotation.yaml -n <name>

Documentation: VCFcache wiki
description: Liftover from GRCh38 to GRCh37 performed using CrossMap.
Reference: hg38ToHg19.over.chain.gz from UCSC Genome Browser.
DOI: 10.34740/kaggle/dsv/14439312
title: 🇰🇷 🇰🇵 Reddit r/Korea Subreddit Dataset 2026
DOI: 10.15468/dl.555pug
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((71.53497400000001 24.483123, 71.45781700000001 24.477546, 71.38257900000001 24.460953, 71.311132 24.433758, 71.245248 24.396637, 71.186559 24.350511, 71.136512 24.296525, 71.09633700000001 24.236018, 71.067014 24.170488, 71.049249 24.101553, 71.043464 24.030915, 71.04978 23.960316, 71.068023 23.891491, 71.09772599999999 23.826132, 71.13814499999999 23.765841, 71.188276 23.712095, 71.246881 23.666209, 71.312521 23.629304, 71.383589 23.60228, 71.458347 23.585798, 71.53497400000001 23.580259, 71.61160099999999 23.585798, 71.686359 23.60228, 71.75742700000001 23.629304, 71.82306699999999 23.666209, 71.88167199999999 23.712095, 71.931803 23.765841, 71.972222 23.826132, 72.001925 23.891491, 72.020168 23.960316, 72.026484 24.030915, 72.02069899999999 24.101553, 72.002934 24.170488, 71.97361100000001 24.236018, 71.933436 24.296525, 71.88338899999999 24.350511, 71.82470000000001 24.396637, 71.758816 24.433758, 71.687369 24.460953, 71.61213100000001 24.477546, 71.53497400000001 24.483123))"},{"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/0000073-260108223611665/datasets/export for details.
DOI: 10.15468/dl.wa932v
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((71.54502599999999 24.569895, 71.467816 24.564318, 71.392527 24.547726, 71.32102999999999 24.520531, 71.25510199999999 24.48341, 71.19637299999999 24.437284, 71.146293 24.383298, 71.10609100000001 24.322791, 71.07674799999999 24.257261, 71.05897299999999 24.188327, 71.053185 24.11769, 71.059506 24.047092, 71.077763 23.978268, 71.10748700000001 23.91291, 71.14793299999999 23.85262, 71.198098 23.798875, 71.256742 23.75299, 71.32242599999999 23.716085, 71.393541 23.689063, 71.468349 23.672581, 71.54502599999999 23.667042, 71.621703 23.672581, 71.696511 23.689063, 71.76762600000001 23.716085, 71.83331 23.75299, 71.891954 23.798875, 71.94211900000001 23.85262, 71.98256499999999 23.91291, 72.012289 23.978268, 72.030546 24.047092, 72.036867 24.11769, 72.03107900000001 24.188327, 72.01330400000001 24.257261, 71.98396099999999 24.322791, 71.943759 24.383298, 71.89367900000001 24.437284, 71.83495000000001 24.48341, 71.76902200000001 24.520531, 71.697525 24.547726, 71.622236 24.564318, 71.54502599999999 24.569895))"},{"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/0000074-260108223611665/datasets/export for details.
DOI: 10.15468/dl.7zkuqf
title: Occurrence Download

description: A dataset containing 1334 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Germany",
 "GadmGid is DEU.15_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Leiopicus medius",
 "Year 1990-2026"
 ]
}

 The dataset includes 1334 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000075-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/47vc4vvr3p
title: Species-specific response of microbial nitrogen limitation to native legume plants in the degraded karst ecosystem

description: The relevant articles have been submitted to Catena, but the data has not been published yet.
DOI: 10.17632/47vc4vvr3p.1
title: Species-specific response of microbial nitrogen limitation to native legume plants in the degraded karst ecosystem

description: The relevant articles have been submitted to Catena, but the data has not been published yet.
DOI: 10.17632/d98r7czmhr
title: Green synthesis of spermidine from xylose through combination of enzyme molecular modification and metabolic engineering

description: In this study, the accurate mutant library was constructed by rational design to screen the beneficial mutants in Bacillus amyloliquefaciens PM1 using xylose as substrate. Therein, the spermidine titers of mutants PM1/speDI39A/D22A and PM1/speEI108A/T54A were improved by 53% and 44% compared to the control strain, respectively, and the enzyme activities of the SpeDI39A/D22A and SpeEI108A/T54A increased by 58% and 44% accordingly. The mechanism of the enhanced enzymatic activity was further explained by molecular dynamics simulations. Moreover, the engineering strain PM1::D/E was constructed by combination of speDI39A/D22A and speEI108A/T54A to enhance spermidine pathway. Through fed-batch fermentation, the spermidine titer reached 683.14 mg/L, which was higher than previous reports in shake flask fermentation. This study provides a novel strategy for green synthesis of spermidine from xylose, which will promote the clean and efficient production of spermidine.
DOI: 10.17632/d98r7czmhr.1
title: Green synthesis of spermidine from xylose through combination of enzyme molecular modification and metabolic engineering

description: In this study, the accurate mutant library was constructed by rational design to screen the beneficial mutants in Bacillus amyloliquefaciens PM1 using xylose as substrate. Therein, the spermidine titers of mutants PM1/speDI39A/D22A and PM1/speEI108A/T54A were improved by 53% and 44% compared to the control strain, respectively, and the enzyme activities of the SpeDI39A/D22A and SpeEI108A/T54A increased by 58% and 44% accordingly. The mechanism of the enhanced enzymatic activity was further explained by molecular dynamics simulations. Moreover, the engineering strain PM1::D/E was constructed by combination of speDI39A/D22A and speEI108A/T54A to enhance spermidine pathway. Through fed-batch fermentation, the spermidine titer reached 683.14 mg/L, which was higher than previous reports in shake flask fermentation. This study provides a novel strategy for green synthesis of spermidine from xylose, which will promote the clean and efficient production of spermidine.
DOI: 10.17632/hvvf6st64n
title: The Importance of Multi-Parametric Assessment in Evaluating Environmental Enrichment Efficacy in Zoo Animals: A Case Study with Captive Bush Dogs (Speothos venaticus)

description: Behavioural and cortisol data from captive Bush Dogs (Speothos venaticus) at Knowsley Sarary
DOI: 10.15468/dl.qmmx9r
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((71.60190799999999 24.455859, 71.524767 24.450282, 71.449546 24.43369, 71.378114 24.406495, 71.31224400000001 24.369373, 71.253567 24.323248, 71.203531 24.269262, 71.163364 24.208755, 71.134047 24.143224, 71.116286 24.074289, 71.110501 24.003651, 71.116816 23.933052, 71.13505499999999 23.864227, 71.16475199999999 23.798867, 71.205162 23.738576, 71.25528199999999 23.68483, 71.313875 23.638943, 71.379501 23.602037, 71.450554 23.575014, 71.52529699999999 23.558531, 71.60190799999999 23.552992, 71.67851899999999 23.558531, 71.75326200000001 23.575014, 71.824315 23.602037, 71.88994099999999 23.638943, 71.948534 23.68483, 71.998654 23.738576, 72.039064 23.798867, 72.06876099999999 23.864227, 72.087 23.933052, 72.093315 24.003651, 72.08753 24.074289, 72.06976899999999 24.143224, 72.040452 24.208755, 72.00028500000001 24.269262, 71.950249 24.323248, 71.891572 24.369373, 71.82570200000001 24.406495, 71.75427000000001 24.43369, 71.67904900000001 24.450282, 71.60190799999999 24.455859))"},{"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/0000076-260108223611665/datasets/export for details.
DOI: 10.17632/hvvf6st64n.1
title: The Importance of Multi-Parametric Assessment in Evaluating Environmental Enrichment Efficacy in Zoo Animals: A Case Study with Captive Bush Dogs (Speothos venaticus)

description: Behavioural and cortisol data from captive Bush Dogs (Speothos venaticus) at Knowsley Sarary
DOI: 10.17632/cr5kcb9822
title: Uncropped imaging data (gels and blots) Patchett et al

description: Uncrossed imaging data (gels and blots) for Patchett et al manuscript
DOI: 10.15468/dl.vx5kmn
title: Occurrence Download

description: A dataset containing 411 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((12.51656 47.23708,13.28398 47.23708,13.28398 47.83298,12.51656 47.83298,12.51656 47.23708))",
 "TaxonKey is Horminum pyrenaicum"
 ]
}

 The dataset includes 411 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000077-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/cr5kcb9822.1
title: Uncropped imaging data (gels and blots) Patchett et al

description: Uncrossed imaging data (gels and blots) for Patchett et al manuscript
DOI: 10.15468/dl.4mrkjd
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((71.599923 24.661433, 71.522657 24.655856, 71.44731299999999 24.639263, 71.375765 24.612068, 71.309788 24.574947, 71.251017 24.528821, 71.200902 24.474836, 71.16067200000001 24.414329, 71.131309 24.348799, 71.113522 24.279866, 71.107731 24.20923, 71.114058 24.138632, 71.132329 24.06981, 71.162075 24.004453, 71.202551 23.944164, 71.252751 23.89042, 71.311437 23.844536, 71.377167 23.807633, 71.44833199999999 23.78061, 71.52319199999999 23.764129, 71.599923 23.75859, 71.676654 23.764129, 71.751514 23.78061, 71.82267899999999 23.807633, 71.888409 23.844536, 71.947095 23.89042, 71.99729499999999 23.944164, 72.03777100000001 24.004453, 72.067517 24.06981, 72.08578799999999 24.138632, 72.09211500000001 24.20923, 72.086324 24.279866, 72.06853700000001 24.348799, 72.039174 24.414329, 71.99894399999999 24.474836, 71.948829 24.528821, 71.890058 24.574947, 71.82408100000001 24.612068, 71.752533 24.639263, 71.677189 24.655856, 71.599923 24.661433))"},{"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/0000078-260108223611665/datasets/export for details.
DOI: 10.15468/dl.wmdmh4
title: Occurrence Download

description: A dataset containing 104 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((12.65847 47.19849,13.43825 47.19849,13.43825 47.73677,12.65847 47.73677,12.65847 47.19849))",
 "TaxonKey is Orchis spitzelii"
 ]
}

 The dataset includes 104 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000079-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.16904/envidat.228
title: Climatologies at high resolution for the earth’s land surface areas

description: High-resolution information on climatic conditions is essential to many applications in environmental and ecological sciences. Here we present the CHELSA (Climatologies at high resolution for the earth’s land surface areas) data of downscaled temperature and precipitation to a high resolution of 30 arc sec. The temperature algorithm is based on statistical downscaling of atmospheric temperatures. The precipitation algorithm incorporates orographic predictors including wind fields, valley exposition, and boundary layer height, with a subsequent bias correction. 
 
CHELSA data published in EnviDat includes the deprecated version 1.2 (originally published under 10.5061/dryad.kd1d4). Please use the current 2.1 version. 
Paper Citation:
 - _Karger DN. et al. Climatologies at high resolution for the earth’s land surface areas, Scientific Data, 4, 170122 (2017) [doi: 10.1038/sdata.2017.122](https://doi.org/10.1038/sdata.2017.122)._
description: Resource Title: CHELSA V2.1 (current)
 Size: 2308974418330 bytes
 Format: No Info
 URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.unil.cloud.switch.ch%2Fchelsa02%2F&prefix=chelsa%2Fglobal%2Fclimatologies%2F
 Description: CHELSA Version 2.1 based on ERA5 forcings and CMIP6
description: Resource Title: CHELSA V1.2 (deprecated)
 Size: 1319413953331 bytes
 Format: No Info
 URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.zhdk.cloud.switch.ch%2Fchelsav1%2F
 Description: CHELSA Version 1.2 based on ERA-Interim forcings and CMIP5
description: Resource Title: CHELSA Technical Documentation
 Size: 285413 bytes
 Format: application/pdf
 URL: https://www.envidat.ch/dataset/2adb0c83-4653-4337-af28-f75c63ab7c74/resource/61fff0a7-6abb-45f7-a5f6-48f6e2c24851/download/chelsa_file_specification.pdf
 Description: Technical documentation document including the variable names, units, scaling, offset, and background.
DOI: 10.15468/dl.wqkuzj
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((71.730176 24.506362, 71.65300499999999 24.500785, 71.577753 24.484193, 71.506293 24.456998, 71.440397 24.419876, 71.381697 24.373751, 71.331642 24.319765, 71.291459 24.259258, 71.262131 24.193727, 71.24436300000001 24.124793, 71.23857700000001 24.054156, 71.244895 23.983556, 71.263141 23.914732, 71.29285 23.849373, 71.333277 23.789082, 71.383416 23.735337, 71.442032 23.689451, 71.507684 23.652546, 71.57876400000001 23.625522, 71.653536 23.60904, 71.730176 23.603501, 71.806816 23.60904, 71.88158799999999 23.625522, 71.952668 23.652546, 72.01832 23.689451, 72.076936 23.735337, 72.127075 23.789082, 72.167502 23.849373, 72.197211 23.914732, 72.215457 23.983556, 72.22177499999999 24.054156, 72.21598899999999 24.124793, 72.198221 24.193727, 72.168893 24.259258, 72.12871 24.319765, 72.078655 24.373751, 72.019955 24.419876, 71.954059 24.456998, 71.882599 24.484193, 71.80734699999999 24.500785, 71.730176 24.506362))"},{"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/0000080-260108223611665/datasets/export for details.
DOI: 10.15468/dl.86cvtc
title: Occurrence Download

description: A dataset containing 64 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bothrops marmoratus"
 ]
}

 The dataset includes 64 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000082-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18190677
title: Engineering-Oriented Bioinformatics Data Repository for Predictive Modeling of Complex Biological Systems

description: This dataset provides the structured data backbone supporting the study Engineering-Oriented Bioinformatics Models for Predictive Analysis of Complex Biological Systems. It consolidates heterogeneous biological inputs, curated knowledge sources, simulation artifacts, and evaluation outputs within a unified, engineering-grade data architecture.

The repository integrates multi-omics signals, biological interaction networks, pathway-level knowledge, mechanistic constraint outputs, and digital twin–inspired simulation results. All data are organized through deterministic preprocessing pipelines, version-controlled configurations, and explicit data lineage identifiers, ensuring full traceability from raw inputs to reported results.

Each worksheet documents a specific analytical layer, including data sources, preprocessing parameters, model configurations, validation protocols, uncertainty metrics, explainability artifacts, and cross-table traceability. This structure enables reproducibility, auditability, and independent verification of all predictive outcomes presented in the associated manuscript.

The dataset is designed to support system-level predictive analysis under uncertainty and aligns with established engineering standards for model validation, robustness assessment, and transparent decision support. It is suitable for reuse in systems biology, biomedical engineering, and bioinformatics research requiring interpretable and reliable predictive frameworks.
DOI: 10.5281/zenodo.18190676
title: Engineering-Oriented Bioinformatics Data Repository for Predictive Modeling of Complex Biological Systems

description: This dataset provides the structured data backbone supporting the study Engineering-Oriented Bioinformatics Models for Predictive Analysis of Complex Biological Systems. It consolidates heterogeneous biological inputs, curated knowledge sources, simulation artifacts, and evaluation outputs within a unified, engineering-grade data architecture.

The repository integrates multi-omics signals, biological interaction networks, pathway-level knowledge, mechanistic constraint outputs, and digital twin–inspired simulation results. All data are organized through deterministic preprocessing pipelines, version-controlled configurations, and explicit data lineage identifiers, ensuring full traceability from raw inputs to reported results.

Each worksheet documents a specific analytical layer, including data sources, preprocessing parameters, model configurations, validation protocols, uncertainty metrics, explainability artifacts, and cross-table traceability. This structure enables reproducibility, auditability, and independent verification of all predictive outcomes presented in the associated manuscript.

The dataset is designed to support system-level predictive analysis under uncertainty and aligns with established engineering standards for model validation, robustness assessment, and transparent decision support. It is suitable for reuse in systems biology, biomedical engineering, and bioinformatics research requiring interpretable and reliable predictive frameworks.