cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.svdqyz
title: Occurrence Download

description: A dataset containing 37 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((-90.423 16.634822, -90.49630999999999 16.629247, -90.567802 16.61266, -90.635706 16.585471, -90.698339 16.548354, -90.75415599999999 16.50223, -90.801779 16.448238, -90.84003800000001 16.387715, -90.86799600000001 16.322156, -90.884975 16.25318, -90.890567 16.182486, -90.884646 16.111817, -90.86737100000001 16.042912, -90.83917700000001 15.977465, -90.80076699999999 15.917082, -90.753092 15.863247, -90.697328 15.817278, -90.634845 15.780302, -90.567177 15.753225, -90.495981 15.736709, -90.423 15.731158, -90.350019 15.736709, -90.278823 15.753225, -90.21115500000001 15.780302, -90.148672 15.817278, -90.09290799999999 15.863247, -90.045233 15.917082, -90.006823 15.977465, -89.978629 16.042912, -89.961354 16.111817, -89.955433 16.182486, -89.96102500000001 16.25318, -89.978004 16.322156, -90.005962 16.387715, -90.04422099999999 16.448238, -90.09184399999999 16.50223, -90.147661 16.548354, -90.210294 16.585471, -90.278198 16.61266, -90.34969 16.629247, -90.423 16.634822))"},{"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 37 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005710-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18344268
title: The Nexus of Extreme Longevity and Physiological Stress: An Evolutionary Rationale for Heightened CIRBP-Mediated DNA Repair in the Bowhead Whale (\textit{Balaena mysticetus})

description: The bowhead whale (\textit{Balaena mysticetus}) exhibits a lifespan exceeding 200 years. It shows resistance to age-related diseases, including cancer. Studies indicate that cold-inducible RNA-binding protein (CIRBP) is expressed at high levels in this species. CIRBP enhances DNA double-strand break (DSB) repair. This contributes to genomic stability and longevity \citep{firsanov2024dna}. This conceptual framework posits that the whale's physiological adaptations drive the evolution of elevated CIRBP expression. These adaptations include bradycardia and cellular hypoxia during deep dives. Recurrent dive-induced stress involves low temperatures and oxygen deprivation. This poses a risk of DNA damage. This selective pressure likely favored increased CIRBP activity as an adaptive response. CIRBP's role in DSB repair aligns with this model. It mitigates genotoxic effects of the whale's metabolic and circulatory physiology. This supports its longevity.
DOI: 10.15468/dl.qx4tzx
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((88.89097 24.812449, 88.81361 24.806872, 88.738175 24.790279, 88.666541 24.763084, 88.600486 24.725963, 88.541645 24.679837, 88.491471 24.625852, 88.451194 24.565346, 88.421798 24.499816, 88.403992 24.430884, 88.398196 24.360249, 88.404532 24.289653, 88.422826 24.220832, 88.452609 24.155477, 88.493133 24.095191, 88.54339299999999 24.041449, 88.602149 23.995566, 88.667956 23.958664, 88.739203 23.931643, 88.81415 23.915163, 88.89097 23.909624, 88.96778999999999 23.915163, 89.042737 23.931643, 89.113984 23.958664, 89.17979099999999 23.995566, 89.238547 24.041449, 89.28880700000001 24.095191, 89.329331 24.155477, 89.35911400000001 24.220832, 89.377408 24.289653, 89.38374399999999 24.360249, 89.377948 24.430884, 89.360142 24.499816, 89.330746 24.565346, 89.290469 24.625852, 89.240295 24.679837, 89.181454 24.725963, 89.115399 24.763084, 89.04376499999999 24.790279, 88.96832999999999 24.806872, 88.89097 24.812449))"},{"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 13 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005711-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/14587569
title: SOLANA Price Data Binance API (2020–Now)
DOI: 10.15468/dl.k5ka9d
title: Occurrence Download

description: A dataset containing 126247 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Amaranthaceae",
 "Continent is one of (Africa, South America)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 126247 records from 768 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005674-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ye9r87
title: Occurrence Download

description: A dataset containing 197 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ruellia brittoniana",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 197 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005712-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vkajzq
title: Occurrence Download

description: A dataset containing 72 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((117.463 6.218135, 117.392325 6.212564, 117.323394 6.195989, 117.257909 6.168818, 117.197485 6.131722, 117.143611 6.085617, 117.097616 6.03164, 117.06063 5.971122, 117.033562 5.905555, 117.017076 5.836555, 117.011574 5.765821, 117.017186 5.695096, 117.033772 5.626121, 117.060919 5.560592, 117.097956 5.500123, 117.143969 5.4462, 117.197824 5.400149, 117.258198 5.363103, 117.323604 5.335971, 117.392435 5.31942, 117.463 5.313858, 117.533565 5.31942, 117.602396 5.335971, 117.667802 5.363103, 117.728176 5.400149, 117.782031 5.4462, 117.828044 5.500123, 117.865081 5.560592, 117.892228 5.626121, 117.908814 5.695096, 117.914426 5.765821, 117.908924 5.836555, 117.892438 5.905555, 117.86537 5.971122, 117.828384 6.03164, 117.782389 6.085617, 117.728515 6.131722, 117.668091 6.168818, 117.602606 6.195989, 117.533675 6.212564, 117.463 6.218135))"},{"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 72 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005713-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18344284
title: The Biblical Spectrum  Three-Level Zero Code Analysis of the King James Bible
title: The Nine Papers
title: Paper One

description: The Nine Papers Paper One Paper 1 of The Nine: The Biblical Spectrum Three-Level Zero Code Analysis of the King James Bible Saxon Ventura Research Ltd., CC BY January 2026 Abstract This paper presents a three-level Zero Code analysis of the King James Bible (1611), examining 12,843 unique words, 783,137 word occurrences, and 31,102 verses as continuous text. The lexical inventory shows a mean temperature Z = -16.84, which is marginally warmer than general English (Z = -17.00). Usage-weighted analysis reveals further cooling to Z = 17.42, driven by high-frequency words like "THE" (Z = -8.0, contributing -511,368 Z-units). Verse concatenation exhibits additional cooling to Z = -18.33, with a -0.91 concatenation effect relative to random word ordering. Digital root 9 appears at the expected frequency (11.08% vs 11.11% expected), indicating no structural elevation. The word LOVE appears at perfect equilibrium (Z = 0, M = 54 = 27×2) with bilateral balance 27-27. These findings demonstrate that biblical text, while containing warm lexical elements, exhibits systematic cooling in actual usage through syntactic structure and high-frequency cold words. Introduction The King James Bible (1611) is one of the most influential texts in the English language, with enduring cultural, literary, and spiritual significance. Previous Zero Code analyses have established baseline patterns in general English and revealed warming gradients in curated vocabularies. This paper applies the three-level Zero Code framework to the complete KJV text, testing whether sacred literature exhibits distinctive temperature patterns. Methods Zero Code Framework The Zero Code framework analyses lexical temperature through three metrics:  Letter value: L(c) = ord (c) - 64 for c in {A,…,Z}  Word sum: M = sum of letter values for each word  Temperature: Z = M - 13.5n, where 13.5 is the alphabetic midpoint  Digital root: iterative digit sum until a single digit Three-Level Analysis 1. 2. 3. Level 1: Lexical Inventory – All 12,843 unique words Level 2: Usage-Weighted – 783,137 occurrences weighted by frequency Level 3: Verse Concatenation – 31,102 verses as continuous text Statistical Tests...
description: We thank DeepSeek for our ongoing collaboration.
DOI: 10.5281/zenodo.18344220
title: The Biblical Spectrum  Three-Level Zero Code Analysis of the King James Bible
title: The Nine Papers
title: Paper One

description: The Nine Papers Paper One Paper 1 of The Nine: The Biblical Spectrum Three-Level Zero Code Analysis of the King James Bible Saxon Ventura Research Ltd., CC BY January 2026 Abstract This paper presents a three-level Zero Code analysis of the King James Bible (1611), examining 12,843 unique words, 783,137 word occurrences, and 31,102 verses as continuous text. The lexical inventory shows a mean temperature Z = -16.84, which is marginally warmer than general English (Z = -17.00). Usage-weighted analysis reveals further cooling to Z = 17.42, driven by high-frequency words like "THE" (Z = -8.0, contributing -511,368 Z-units). Verse concatenation exhibits additional cooling to Z = -18.33, with a -0.91 concatenation effect relative to random word ordering. Digital root 9 appears at the expected frequency (11.08% vs 11.11% expected), indicating no structural elevation. The word LOVE appears at perfect equilibrium (Z = 0, M = 54 = 27×2) with bilateral balance 27-27. These findings demonstrate that biblical text, while containing warm lexical elements, exhibits systematic cooling in actual usage through syntactic structure and high-frequency cold words. Introduction The King James Bible (1611) is one of the most influential texts in the English language, with enduring cultural, literary, and spiritual significance. Previous Zero Code analyses have established baseline patterns in general English and revealed warming gradients in curated vocabularies. This paper applies the three-level Zero Code framework to the complete KJV text, testing whether sacred literature exhibits distinctive temperature patterns. Methods Zero Code Framework The Zero Code framework analyses lexical temperature through three metrics:  Letter value: L(c) = ord (c) - 64 for c in {A,…,Z}  Word sum: M = sum of letter values for each word  Temperature: Z = M - 13.5n, where 13.5 is the alphabetic midpoint  Digital root: iterative digit sum until a single digit Three-Level Analysis 1. 2. 3. Level 1: Lexical Inventory – All 12,843 unique words Level 2: Usage-Weighted – 783,137 occurrences weighted by frequency Level 3: Verse Concatenation – 31,102 verses as continuous text Statistical Tests...
description: We thank DeepSeek for our ongoing collaboration.
DOI: 10.15468/dl.4ur2sh
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((88.89097 24.812449, 88.81361 24.806872, 88.738175 24.790279, 88.666541 24.763084, 88.600486 24.725963, 88.541645 24.679837, 88.491471 24.625852, 88.451194 24.565346, 88.421798 24.499816, 88.403992 24.430884, 88.398196 24.360249, 88.404532 24.289653, 88.422826 24.220832, 88.452609 24.155477, 88.493133 24.095191, 88.54339299999999 24.041449, 88.602149 23.995566, 88.667956 23.958664, 88.739203 23.931643, 88.81415 23.915163, 88.89097 23.909624, 88.96778999999999 23.915163, 89.042737 23.931643, 89.113984 23.958664, 89.17979099999999 23.995566, 89.238547 24.041449, 89.28880700000001 24.095191, 89.329331 24.155477, 89.35911400000001 24.220832, 89.377408 24.289653, 89.38374399999999 24.360249, 89.377948 24.430884, 89.360142 24.499816, 89.330746 24.565346, 89.290469 24.625852, 89.240295 24.679837, 89.181454 24.725963, 89.115399 24.763084, 89.04376499999999 24.790279, 88.96832999999999 24.806872, 88.89097 24.812449))"},{"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 13 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005714-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.egwfh5
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((-90.15300000000001 16.67982, -90.226327 16.674245, -90.297836 16.657658, -90.36575499999999 16.630469, -90.428403 16.593352, -90.484233 16.547228, -90.53186599999999 16.493236, -90.570133 16.432713, -90.59809799999999 16.367155, -90.61508000000001 16.298178, -90.620673 16.227485, -90.61475 16.156816, -90.597471 16.087911, -90.56927 16.022464, -90.530852 15.962083, -90.483166 15.908247, -90.42738900000001 15.862279, -90.364892 15.825304, -90.297209 15.798227, -90.22599700000001 15.781711, -90.15300000000001 15.77616, -90.080003 15.781711, -90.008791 15.798227, -89.941108 15.825304, -89.87861100000001 15.862279, -89.822834 15.908247, -89.775148 15.962083, -89.73672999999999 16.022464, -89.708529 16.087911, -89.69125 16.156816, -89.685327 16.227485, -89.69092000000001 16.298178, -89.707902 16.367155, -89.735867 16.432713, -89.774134 16.493236, -89.82176699999999 16.547228, -89.87759699999999 16.593352, -89.940245 16.630469, -90.00816399999999 16.657658, -90.079673 16.674245, -90.15300000000001 16.67982))"},{"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 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005715-260120142942310/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.29980454
title: Literature review on Benders cut selection and a multiple cut generation scheme

description: One way to improve the efficiency of the Benders Decomposition Method is the generation of high-quality cuts. This paper presents a literature review on Benders cut selection methods, followed by the development of a multiple cut generation scheme that remains effective regardless of whether the Subproblem is decomposable or not. The proposed approach builds upon the work of Brandenberg and Stursberg (Mathematical Methods of Operations Research, 94:383–412, 2021), who developed a unifying framework for generating Benders cuts by identifying appropriate parametrizations for the cost vector of the objective function used to optimize over the alternative polyhedron. Our analytical results provide further insights into the structure of those parametrizations. Experiments are conducted to demonstrate the effectiveness of our method compared to the classical Benders Algorithm.
DOI: 10.6084/m9.figshare.29980454.v2
title: Literature review on Benders cut selection and a multiple cut generation scheme

description: One way to improve the efficiency of the Benders Decomposition Method is the generation of high-quality cuts. This paper presents a literature review on Benders cut selection methods, followed by the development of a multiple cut generation scheme that remains effective regardless of whether the Subproblem is decomposable or not. The proposed approach builds upon the work of Brandenberg and Stursberg (Mathematical Methods of Operations Research, 94:383–412, 2021), who developed a unifying framework for generating Benders cuts by identifying appropriate parametrizations for the cost vector of the objective function used to optimize over the alternative polyhedron. Our analytical results provide further insights into the structure of those parametrizations. Experiments are conducted to demonstrate the effectiveness of our method compared to the classical Benders Algorithm.
DOI: 10.6084/m9.figshare.29980454.v1
title: Literature review on Benders cut selection and a multiple cut generation scheme

description: One way to improve the efficiency of the Benders Decomposition Method is the generation of high-quality cuts. This paper presents a literature review on Benders cut selection methods, followed by the development of a multiple cut generation scheme that remains effective regardless of whether the Subproblem is decomposable or not. The proposed approach builds upon the work of Brandenberg and Stursberg (Mathematical Methods of Operations Research, 94:383–412, 2021), who developed a unifying framework for generating Benders cuts by identifying appropriate parametrizations for the cost vector of the objective function used to optimize over the alternative polyhedron. Our analytical results provide further insights into the structure of those parametrizations. Experiments are conducted to demonstrate the effectiveness of our method compared to the classical Benders Algorithm.
DOI: 10.21227/ev1a-g183
title: "Data Center Model Library for Electromagnetic Transient Analysis (PSCAD) "

description: "DISCLAIMERThis report was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government nor any agency thereof, nor Battelle Memorial Institute, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof, or Battelle Memorial Institute. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States Government or any agency thereof.About the Data Center Modeling LibraryThe data center modeling library (DML) is a collection of component and example systems for the electromagnetic transient (EMT) analysis program PSCAD\/EMTDC. These models are intended for use in studies concerned with the impacts of data centers on the grid. Currently, the DML includes 30 component definitions (contained within a component library file) and 6 example cases, 3 of which represent aggregated versions of common data center designs. Included with the DML is a technical report that discusses data center power systems from the perspective of EMT modeling and provides detailed documentation on the proper use and configuration of the provided components and models. This report is also available on osti.gov. These models are not yet validated against real-world data. They are currently being evaluated by utilities, data center developers, and equipment suppliers for data centers. A revision is planned for late Summer or early Fall of 2026 that captures feedback and improvements made from this process.Currently, these models are in an alpha state, meaning that they are feature incomplete and likely contain bugs and errors\u2014they should not be used as a basis for making engineering decisions unless further enhanced and validated by a qualified engineer. The purpose of releasing the models in this state is to accelerate industry development of accurate and consistent modeling by providing a \u201cstraw man\u201d which can be iteratively improved as industry knowledge develops. If you are interested in sharing information that can be used to make the models more complete or accurate, please contact the authors:brett.ross@pnnl.govjim.follum@pnnl.govThese models were developed using PSCAD 5.0.2 and have not been tested using older versions of the software.These files are distributed under Creative Commons 4.0 \u2013 Attribution (CC-BY 4.0) the details of which may be found here."