cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.x9gwxu
title: Occurrence Download

description: A dataset containing 1218 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Dismodicus bifrons (Blackwall, 1841)",
 "PhylumKey is Arthropoda",
 "Year is greater than or equal to 1992",
 "Year is less than or equal to 2012",
 "Geometry POLYGON((-26 30, 46 30, 46 68, -26 68, -26 30))"
 ]
}

 The dataset includes 1218 records from 102 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007594-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qtqj8r
title: Occurrence Download

description: A dataset containing 369 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Evynnis cardinalis (Lacepède, 1802)"
 ]
}

 The dataset includes 369 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007595-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5dp4sb
title: Occurrence Download

description: A dataset containing 2161 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Drassodes cupreus (Blackwall, 1834)",
 "PhylumKey is Arthropoda",
 "Year is greater than or equal to 1992",
 "Year is less than or equal to 2012",
 "Geometry POLYGON((-26 30, 46 30, 46 68, -26 68, -26 30))"
 ]
}

 The dataset includes 2161 records from 123 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007596-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c5uqdv
title: Occurrence Download

description: A dataset containing 5642 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "GadmGid is ECU.22.7_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 5642 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007597-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r7uetx
title: Occurrence Download

description: A dataset containing 684 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Dyschirius aeneus (Dejean, 1825)",
 "PhylumKey is Arthropoda",
 "Year is greater than or equal to 1992",
 "Year is less than or equal to 2012",
 "Geometry POLYGON((-26 30, 46 30, 46 68, -26 68, -26 30))"
 ]
}

 The dataset includes 684 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007598-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3ygbpz
title: Occurrence Download

description: A dataset containing 1601514 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DecimalLatitude is greater than 75"
 ]
}

 The dataset includes 1601514 records from 1331 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007593-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ra5yxr
title: Occurrence Download

description: A dataset containing 935 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lepidophanes gaussi (Brauer, 1906)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 935 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048016-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zyfdmj
title: Occurrence Download

description: A dataset containing 62 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rattus nitidus (Hodgson, 1845)",
 "HasGeospatialIssue is false",
 "Geometry POLYGON((116.01 -8.71,116.01 8.76,143.56 8.76,143.56 -8.71,116.01 -8.71))",
 "Year 1960-2020"
 ]
}

 The dataset includes 62 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006008-160311141623029/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kzpzjk
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lepanthes dikoensis Bogarín & C.M.Sm."
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0171156-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tsun66
title: Occurrence Download

description: A dataset containing 6883 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry MULTIPOLYGON(((-64.54681 -24.5716,-64.54702 -24.56169,-64.54131 -24.54597,-64.54384 -24.53987,-64.5501 -24.55831,-64.56124 -24.57721,-64.56128 -24.58559,-64.57214 -24.60354,-64.58031 -24.6035,-64.59193 -24.61227,-64.60584 -24.61324,-64.61098 -24.61897,-64.64058 -24.61828,-64.64999 -24.62305,-64.65643 -24.61909,-64.66345 -24.62021,-64.68068 -24.62874,-64.68648 -24.62787,-64.6944 -24.63598,-64.70595 -24.63492,-64.70253 -24.64461,-64.71479 -24.65736,-64.71378 -24.66946,-64.72321 -24.69789,-64.7313 -24.70546,-64.7487 -24.70705,-64.75144 -24.7148,-64.76299 -24.72216,-64.7618 -24.72665,-64.76824 -24.7371,-64.76503 -24.74487,-64.75744 -24.74449,-64.75283 -24.74924,-64.74385 -24.74995,-64.7402 -24.75442,-64.72891 -24.75712,-64.70257 -24.78846,-64.70432 -24.80933,-64.69963 -24.81587,-64.68398 -24.81574,-64.67751 -24.81148,-64.66902 -24.81213,-64.66012 -24.80833,-64.64261 -24.80812,-64.63439 -24.80033,-64.62452 -24.79863,-64.61955 -24.79428,-64.61329 -24.79648,-64.61133 -24.79351,-64.60678 -24.79439,-64.60812 -24.79016,-64.60413 -24.79328,-64.60173 -24.78996,-64.59903 -24.79359,-64.59446 -24.78762,-64.58586 -24.78908,-64.58709 -24.78598,-64.58444 -24.78677,-64.58201 -24.78123,-64.58833 -24.77568,-64.58313 -24.77357,-64.58483 -24.77098,-64.58339 -24.77262,-64.58178 -24.76919,-64.57639 -24.76905,-64.5762 -24.77076,-64.57296 -24.76763,-64.56923 -24.75132,-64.55805 -24.74895,-64.55732 -24.74612,-64.55459 -24.74762,-64.55472 -24.74397,-64.54902 -24.74478,-64.53052 -24.71005,-64.53003 -24.70006,-64.52408 -24.69026,-64.51887 -24.6866,-64.50899 -24.66903,-64.49831 -24.66402,-64.49676 -24.65878,-64.50464 -24.65719,-64.50362 -24.63762,-64.51298 -24.62171,-64.52165 -24.62255,-64.5392 -24.61096,-64.5319 -24.59004,-64.54755 -24.58477,-64.54681 -24.5716)))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 6883 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037847-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ykediv
title: Occurrence Download

description: A dataset containing 115 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Costa Rica",
 "TaxonKey is Tapirira guianensis Aubl."
 ]
}

 The dataset includes 115 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007755-180824113759888/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wrmwpt
title: Occurrence Download

description: A dataset containing 37 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Bromeliaceae",
 "TaxonKey is Tillandsia",
 "TaxonKey is Vriesea Lindl.",
 "TaxonKey is Aechmea Ruiz & Pav.",
 "TaxonKey is Catopsis Griseb."
 ]
 },
 "Country is Mexico",
 "HasCoordinate is true",
 "Geometry POLYGON((-89.011230 17.706828,-91.296386 17.581194,-92.043457 17.936928,-92.834472 18.667063,-91.625976 18.895892,-90.944824 19.580493,-90.725097 20.591652,-90.681152 21.186972,-89.626464 21.575718,-88.725585 21.759499,-87.648925 21.861498,-86.704101 21.841104,-86.330566 21.002471,-86.616210 20.838277,-87.055664 20.529933,-87.275390 20.159098,-87.319335 19.414792,-87.714843 17.811456,-88.461914 17.916022,-89.011230 17.706828))",
 "HasGeospatialIssue is false",
 "BasisOfRecord is Specimen",
 "DatasetKey is Formación del banco de datos del herbario (UCAM)"
 ]
}

 The dataset includes 37 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053825-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xxhq5h
title: Occurrence Download

description: A dataset containing 319 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry MULTIPOLYGON(((-64.74572 -22.23334,-64.74864 -22.23304,-64.75021 -22.23692,-64.75144 -22.23729,-64.75687 -22.23689,-64.76239 -22.23976,-64.76607 -22.23903,-64.76796 -22.23945,-64.77117 -22.245,-64.77328 -22.24524,-64.7736 -22.2466,-64.77807 -22.24622,-64.783 -22.24783,-64.78571 -22.24552,-64.78816 -22.24644,-64.79128 -22.24505,-64.79241 -22.24549,-64.79679 -22.2529,-64.79677 -22.25908,-64.79311 -22.26093,-64.78956 -22.26592,-64.78467 -22.26549,-64.78199 -22.26695,-64.78033 -22.27079,-64.77831 -22.27292,-64.77908 -22.27369,-64.77875 -22.27486,-64.77743 -22.27529,-64.77334 -22.27998,-64.77381 -22.28229,-64.77231 -22.28304,-64.77144 -22.28471,-64.76174 -22.28551,-64.75463 -22.2875,-64.75283 -22.28937,-64.7498 -22.28686,-64.74709 -22.28937,-64.74453 -22.28972,-64.73695 -22.29454,-64.73501 -22.29318,-64.73211 -22.2934,-64.72918 -22.29148,-64.72702 -22.29142,-64.72085 -22.28843,-64.71402 -22.29005,-64.7123 -22.28834,-64.70907 -22.28882,-64.70731 -22.28791,-64.70496 -22.2879,-64.70638 -22.28631,-64.70192 -22.27874,-64.70262 -22.27808,-64.70628 -22.28297,-64.70795 -22.28096,-64.71061 -22.27961,-64.70958 -22.27803,-64.71 -22.27749,-64.7181 -22.27411,-64.722 -22.2693,-64.72715 -22.26863,-64.72876 -22.26781,-64.72995 -22.2656,-64.73367 -22.26524,-64.73473 -22.26394,-64.73618 -22.2617,-64.73691 -22.25303,-64.73928 -22.24801,-64.73992 -22.23828,-64.74146 -22.23535,-64.74572 -22.23334)))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 319 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037856-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d5es3p
title: Occurrence Download

description: A dataset containing 125 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ailuropoda melanoleuca (David, 1869)"
 ]
}

 The dataset includes 125 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007755-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z78lsn
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Asplenium resiliens Kze.",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 38 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048021-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2njfvb
title: Occurrence Download

description: A dataset containing 1833638 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Ecuador"
 ]
}

 The dataset includes 1833638 records from 1181 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039052-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jigehg
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Isothrix sinnamariensis Vie et al., 1996",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007755-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3n5sjs
title: Occurrence Download

description: A dataset containing 336807 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Ireland, United Kingdom of Great Britain and Northern Ireland, Portugal, Spain, France, Germany, Belgium, Netherlands, Italy, Greece, Switzerland, Austria, Türkiye, Russian Federation, Belarus, Ukraine, Norway, Sweden, Finland, Estonia, Latvia, Lithuania, Romania, Bulgaria, North Macedonia, Albania, Slovenia, Croatia, Bosnia and Herzegovina, Hungary, Slovakia, Czechia, Poland)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Stellaria holostea L."
 ]
}

 The dataset includes 336807 records from 1938 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0171102-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xsbqfr
title: Occurrence Download

description: A dataset containing 1534 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acanthotelsonidae",
 "Continent is one of (North America, South America)"
 ]
}

 The dataset includes 1534 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014110-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uzu644
title: Occurrence Download

description: A dataset containing 24571 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Colletes cunicularius (Linnaeus, 1761), Colletes hederae Schmidt & Westrich, 1993)",
 "Geometry POLYGON((-9.36035 44.71551,-10.59082 42.81152,-11.82129 36.80928,-7.69043 36.17336,-3.38379 35.88905,3.12012 38.13456,9.18457 38.20366,11.7334 37.16032,12.78809 34.74161,17.09473 33.79741, 23.15918 34.23451,30.10254 32.62087,33.2666 32.99024,35.72754 35.03,33.00293 35.53223,28.69629 35.17381,28.34473 36.31513,25.7959 37.50973,24.91699 39.90974,28.78418 40.6473,30.71777 41.17865,36.87012 45.213,38.18848 46.98025,38.71582 47.7541,39.94629 47.93107,40.20996 49.61071,37.0459 50.34546,35.72754 50.40152,33.79395 52.26816,31.68457 51.94426,31.4209 53.27835,32.56348 53.43572,30.98145 54.77535,30.89355 55.52863,28.43262 56.02295,27.20215 57.65716,27.37793 58.30949,27.90527 59.17593,29.66309 59.88894,27.6416 60.58697,31.50879 62.75473,28.78418 69.83962,30.89355 70.28912,29.22363 71.55274,21.75293 71.30079,14.28223 70.14036,11.38184 67.47492,4.87793 63.66576,-5.53711 71.52491,-10.63477 71.69129,-21.5332 67.74276,-28.56445 65.36684,-24.3457 61.35461,-9.36035 44.71551))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2021"
 ]
}

 The dataset includes 24571 records from 108 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0237249-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x5zcj4
title: Occurrence Download

description: A dataset containing 20843408 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Colombia"
 ]
}

 The dataset includes 20843408 records from 4106 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0103038-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/wpk6nnzdkr
title: Synthesis of highly spherical calcium carbonate nanoparticles using air nanobubbles as additives

description: Ultrasamll nanoparticles that simultaneously exhibit narrow size distribution and high circularity are key to enabling multifunctional applications in optoelectronic systems, integrated circuits and robots. Calcium carbonate (CaCO3) nanoparticles are typical nanomaterials with various shapes and sizes have found applications in both science and technology, while controlled synthetic approaches toward nanoparticles with high circularity remain challenging. Herein, we report the synthesis of spherical CaCO3 using air nanobubbles as additives in reactive precipitation. Air nanobubbles (&lt;100 nm, stable &gt;5 days) were generated via a rotating packed bed. During precipitation, these nanobubbles acted as immobile impurities, directing crystal growth. This yielded spherical CaCO3 nanoparticles (6.89±0.75 nm) with calcite structure and exceptional circularity (0.97). In situ liquid-phase TEM revealed the nanobubbles' role in inducing anomalous growth, providing deep insight into spherical nanoparticle synthesis for diverse applications.
DOI: 10.17632/wpk6nnzdkr.2
title: Synthesis of highly spherical calcium carbonate nanoparticles using air nanobubbles as additives

description: Ultrasamll nanoparticles that simultaneously exhibit narrow size distribution and high circularity are key to enabling multifunctional applications in optoelectronic systems, integrated circuits and robots. Calcium carbonate (CaCO3) nanoparticles are typical nanomaterials with various shapes and sizes have found applications in both science and technology, while controlled synthetic approaches toward nanoparticles with high circularity remain challenging. Herein, we report the synthesis of spherical CaCO3 using air nanobubbles as additives in reactive precipitation. Air nanobubbles (&lt;100 nm, stable &gt;5 days) were generated via a rotating packed bed. During precipitation, these nanobubbles acted as immobile impurities, directing crystal growth. This yielded spherical CaCO3 nanoparticles (6.89±0.75 nm) with calcite structure and exceptional circularity (0.97). In situ liquid-phase TEM revealed the nanobubbles' role in inducing anomalous growth, providing deep insight into spherical nanoparticle synthesis for diverse applications.
DOI: 10.17632/zwr4ntf94j.1
title: Brain Tumor MRI Dataset (Glioma, Meningioma, Pituitary, No Tumor)

description: This dataset contains 12,064 pre-processed T1-weighted contrast-enhanced MRI brain images, categorized into four classes: Glioma, Meningioma, Pituitary, and No Tumor.
The dataset is split into 80% training data and 20% testing data. Images are organized into subfolders by class.
It is suitable for machine learning and deep learning research in brain tumor classification, tumor detection, and computer-aided diagnosis.
DOI: 10.17632/ggthy8v6zz
title: data

description: This dataset contains supporting data for the manuscript entitled "Why not ask ChatGPT? A Development of New Scale: College Student’s Media Information Literacy in the Context of AI-Generated Content," submitted to the journal Education and Information Technologies (EIT).

It includes raw data, pilot survey data, and files related to confirmatory factor analysis (CFA). These data were used to develop and validate the MIL-AIGC scale for college students.

File descriptions:
- CFATesting.amp / .amw / .bk1: Files generated from CFA modeling and analysis.
- CFATesting.AmosOutput.amosoutput_tmp: Output files from AMOS software during CFA testing.
- FirstPre-surveyPilot.sav: Data from the first pilot survey.
- SecondPre-surveyPilot.sav: Data from the second pilot survey.
- FormalSurvey.sav: Data collected from the formal survey.

These files support the findings and conclusions presented in the related manuscript. Personal identifiers have been removed to protect participants' privacy.
DOI: 10.17632/ggthy8v6zz.1
title: data

description: This dataset contains supporting data for the manuscript entitled "Why not ask ChatGPT? A Development of New Scale: College Student’s Media Information Literacy in the Context of AI-Generated Content," submitted to the journal Education and Information Technologies (EIT).

It includes raw data, pilot survey data, and files related to confirmatory factor analysis (CFA). These data were used to develop and validate the MIL-AIGC scale for college students.

File descriptions:
- CFATesting.amp / .amw / .bk1: Files generated from CFA modeling and analysis.
- CFATesting.AmosOutput.amosoutput_tmp: Output files from AMOS software during CFA testing.
- FirstPre-surveyPilot.sav: Data from the first pilot survey.
- SecondPre-surveyPilot.sav: Data from the second pilot survey.
- FormalSurvey.sav: Data collected from the formal survey.

These files support the findings and conclusions presented in the related manuscript. Personal identifiers have been removed to protect participants' privacy.
DOI: 10.17632/h2xjtc3b7s
title: Simulation datasets and Python code for off-corridor excursion bus operations

description: This dataset contains the full inputs, simulation code, and outputs from a study of online accept/reject policies for off-corridor bus excursions in overlapping fixed-line systems.
Contents include:

Input scenarios: 22 parameterized cases (16 factorial core + 6 targeted add-ons) with corridor and side-stop networks, excursion arcs, demand processes, vehicle dispatches, and policy parameters.

Simulation code: Python discrete-event simulator (sim_runner.py) implementing baseline, myopic-feasible, and slack-aware policies with feasibility safeguards (excursion budgets, return windows, headway controls).

Outputs: Per-run logs (events, decisions, KPIs) and aggregated performance indicators.

Documentation: Metadata files and manifests to ensure reproducibility, including seed management for independent replications.

The dataset and code enable replication of all reported results and can be adapted to test alternative corridor geometries, demand patterns, and policy settings.