cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25582/data.2023-10.2913056/2460390
title: Data for EMSL Project 60045 from October 2023
DOI: 10.18738/t8/uoes4s/pzvei4
title: Vid2RealPhase2_P14_vlp16_000482.bin
DOI: 10.18738/t8/uoes4s/lghe80
title: Vid2RealPhase2_P14_vlp16_000325.bin
DOI: 10.25582/data.2023-10.2913058/2460391
title: Data for EMSL Project 60045 from October 2023
DOI: 10.15468/dl.qrwrtk
title: Occurrence Download

description: A dataset containing 64662 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aedes aegypti (Linnaeus, 1762)"
 ]
}

 The dataset includes 64662 records from 91 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005501-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18738/t8/uoes4s/n65nip
title: Vid2RealPhase2_P14_vlp16_000314.bin
DOI: 10.25582/data.2023-10.2913059/2460392
title: Data for EMSL Project 60045 from October 2023
DOI: 10.18738/t8/uoes4s/pn4vhn
title: Vid2RealPhase2_P14_vlp16_000003.bin
DOI: 10.25582/data.2023-10.2913060/2460393
title: Data for EMSL Project 60045 from October 2023
DOI: 10.18738/t8/uoes4s/s9g0gc
title: Vid2RealPhase2_P14_vlp16_000462.bin
DOI: 10.25582/data.2023-10.2913061/2460394
title: Data for EMSL Project 60045 from October 2023
DOI: 10.18738/t8/uoes4s/cefgrm
title: Vid2RealPhase2_P14_vlp16_000127.bin
DOI: 10.25582/data.2023-10.2913062/2460395
title: Data for EMSL Project 60045 from October 2023
DOI: 10.18738/t8/uoes4s/grptd5
title: Vid2RealPhase2_P14_vlp16_000230.bin
DOI: 10.25582/data.2023-10.2913063/2460396
title: Data for EMSL Project 60045 from October 2023
DOI: 10.18738/t8/uoes4s/sedpus
title: Vid2RealPhase2_P14_vlp16_000368.bin
DOI: 10.18738/t8/uoes4s/3fhq5h
title: Vid2RealPhase2_P14_vlp16_000120.bin
DOI: 10.25582/data.2023-10.2913064/2460397
title: Data for EMSL Project 60045 from October 2023
DOI: 10.18738/t8/uoes4s/6mmuvs
title: Vid2RealPhase2_P14_vlp16_000237.bin
DOI: 10.25582/data.2023-10.2913089/2460398
title: Data for EMSL Project 60045 from October 2023
DOI: 10.18738/t8/uoes4s/aqhldf
title: Vid2RealPhase2_P14_vlp16_000078.bin
DOI: 10.25582/data.2023-10.2913065/2460399
title: Data for EMSL Project 60602 from October 2023
DOI: 10.18738/t8/uoes4s/9hxexx
title: Vid2RealPhase2_P14_vlp16_000419.bin
DOI: 10.25582/data.2023-10.2913066/2460400
title: Data for EMSL Project 60602 from October 2023
DOI: 10.18738/t8/uoes4s/ivrj3g
title: Vid2RealPhase2_P14_vlp16_000313.bin
DOI: 10.25582/data.2023-10.2913067/2460401
title: Data for EMSL Project 60602 from October 2023
DOI: 10.18738/t8/uoes4s/she2br
title: Vid2RealPhase2_P14_vlp16_000004.bin
DOI: 10.18738/t8/uoes4s/0cwudr
title: Vid2RealPhase2_P14_vlp16_000465.bin
DOI: 10.25582/data.2023-10.2913068/2460402
title: Data for EMSL Project 60602 from October 2023
DOI: 10.18738/t8/uoes4s/kiwlv5
title: Vid2RealPhase2_P14_vlp16_000239.bin
DOI: 10.25582/data.2023-10.2913069/2460403
title: Data for EMSL Project 60602 from October 2023
DOI: 10.18738/t8/uoes4s/o8hxny
title: Vid2RealPhase2_P14_vlp16_000361.bin
DOI: 10.25582/data.2023-10.2913070/2460404
title: Data for EMSL Project 60602 from October 2023
DOI: 10.18738/t8/uoes4s/embhqd
title: Vid2RealPhase2_P14_vlp16_000076.bin
DOI: 10.25582/data.2023-10.2913071/2460405
title: Data for EMSL Project 60602 from October 2023
DOI: 10.18738/t8/uoes4s/fuel36
title: Vid2RealPhase2_P14_vlp16_000417.bin
DOI: 10.25582/data.2023-10.2913073/2460406
title: Data for EMSL Project 60602 from October 2023
DOI: 10.18738/t8/uoes4s/jtrizb
title: Vid2RealPhase2_P14_vlp16_000152.bin
DOI: 10.18738/t8/uoes4s/6gkxx8
title: Vid2RealPhase2_P14_vlp16_000294.bin
DOI: 10.25582/data.2023-10.2913074/2460407
title: Data for EMSL Project 60602 from October 2023
DOI: 10.18738/t8/uoes4s/iv12qf
title: Vid2RealPhase2_P14_vlp16_000245.bin
DOI: 10.25582/data.2023-10.2913075/2460408
title: Data for EMSL Project 60602 from October 2023
DOI: 10.18738/t8/uoes4s/uzeboi
title: Vid2RealPhase2_P14_vlp16_000183.bin
DOI: 10.25582/data.2023-10.2913078/2460409
title: Data for EMSL Project 60602 from October 2023
DOI: 10.18738/t8/uoes4s/lusavv
title: Vid2RealPhase2_P14_vlp16_000155.bin
DOI: 10.25582/data.2023-10.2913079/2460410
title: Data for EMSL Project 60602 from October 2023
DOI: 10.18738/t8/uoes4s/jcqtwg
title: Vid2RealPhase2_P14_vlp16_000293.bin
DOI: 10.25582/data.2023-10.2913080/2460411
title: Data for EMSL Project 60602 from October 2023
DOI: 10.18738/t8/uoes4s/txvxzs
title: Vid2RealPhase2_P14_vlp16_000242.bin
DOI: 10.18738/t8/uoes4s/urlffo
title: Vid2RealPhase2_P14_vlp16_000184.bin
DOI: 10.25582/data.2023-10.2913081/2460412
title: Data for EMSL Project 60602 from October 2023
DOI: 10.18738/t8/uoes4s/i8regm
title: Vid2RealPhase2_P14_vlp16_000129.bin
DOI: 10.25582/data.2023-10.2913204/2460413
title: Data for EMSL Project 51637 from October 2023
DOI: 10.15468/dl.f8py8q
title: Occurrence Download

description: A dataset containing 121 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is one of (Argentina, Chile, Peru, Bolivia (Plurinational State of), Ecuador)",
 "GbifRegion is Latin America and the Caribbean",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is VU",
 "TaxonKey is Hippocamelus antisensis (d'Orbigny, 1834)"
 ]
}

 The dataset includes 121 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005508-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fvadgs
title: Occurrence Download

description: A dataset containing 5214 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Homalodisca vitripennis (Germar, 1821)",
 "Year 1970-2024"
 ]
}

 The dataset includes 5214 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005507-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18738/t8/uoes4s/ig3uuy
title: Vid2RealPhase2_P14_vlp16_000366.bin
DOI: 10.25582/data.2023-10.2913210/2460414
title: Data for EMSL Project 51637 from October 2023
DOI: 10.18738/t8/uoes4s/hq2rno
title: Vid2RealPhase2_P14_vlp16_000071.bin
DOI: 10.25582/data.2023-10.2913221/2460415
title: Data for EMSL Project 51637 from October 2023
DOI: 10.18738/t8/uoes4s/zuvwpd
title: Vid2RealPhase2_P14_vlp16_000410.bin
DOI: 10.18738/t8/uoes4s/ehevz0
title: Vid2RealPhase2_P14_vlp16_000277.bin
DOI: 10.25582/data.2023-10.2913241/2460416
title: Data for EMSL Project 51637 from October 2023
DOI: 10.15468/dl.jra8bu
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hyperolius minutissimus Schiøtz, 1975"
 ]
}

 The dataset includes 36 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005509-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18738/t8/uoes4s/r8ae4a
title: Vid2RealPhase2_P14_vlp16_000160.bin
DOI: 10.25582/data.2023-10.2913257/2460417
title: Data for EMSL Project 51637 from October 2023
DOI: 10.18738/t8/uoes4s/ad5qcs
title: Vid2RealPhase2_P14_vlp16_000459.bin
DOI: 10.18738/t8/uoes4s/thazf8
title: Vid2RealPhase2_P14_vlp16_000038.bin
DOI: 10.18738/t8/uoes4s/g54wpg
title: Vid2RealPhase2_P14_vlp16_000488.bin
DOI: 10.25984/2460455
title: National Climate Database (NCDB)

description: The National Climate Database (NCDB) is a high resolution, bias-corrected climate dataset consisting of the three most widely used variables of solar radiation- global horizontal (GHI), direct normal (DNI), and diffuse horizontal irradiance (DHI)- as well as other meteorological data. The goal of the NCDB is to provide unbiased high temporal and spatial resolution climate data needed for renewable energy modeling. The NCDB is modeled using a statistical downscaling approach with Regional Climate Model (RCM)-based climate projections obtained from the North American Coordinated Regional Climate Downscaling Experiment (NA-CORDEX; linked below). Daily climate projections simulated by the Canadian Regional Climate Model 4 (CanRCM4) forced by the second-generation Canadian Earth System Model (CanESM2) for two Representative Concentration Pathways (RCP4.5 or moderate emissions scenario and RCP8.5 or highest baseline emission scenario) are selected as inputs to the statistical downscaling models. The National Solar Radiation Database (NSRDB) is used to build and calibrate statistical models.
DOI: 10.18738/t8/uoes4s/nn44fq
title: Vid2RealPhase2_P14_vlp16_000425.bin
DOI: 10.25984/2460456
title: Offshore Wind Composite Siting Exclusions Scenarios

description: This dataset consolidates criteria that restrict the siting of offshore wind energy installations, an update from Zuckerman et al. (2023). All scenarios exclude area from wind energy development due to legal or administrative restrictions (e.g., Marine Protected Areas), existing infrastructure, and technical constraints (e.g., 1,300 m bathymetry limit). A TIF data file and a PNG cartographic map of the data are provided for three scenarios ("Open", "Reference", and "Limited"), showing areas where offshore wind energy is restricted across the contiguous United States. The "Open" scenario only excludes areas with known preclusions for offshore wind deployment. The "Reference" scenario excludes all areas from the "Open" scenario, as well as additional best management practices such as known proposed protected areas, and state waters. The "Limited" scenario excludes all area from the "Reference" scenario. Additionally, it has more stringent siting criteria such as larger setbacks from shore and infrastructure, as well as shallower depth limits on floating technology. For further details and citation, please refer to the publication linked below: Zuckerman, Gabriel R., Anthony Lopez, Travis Williams, Rebecca Green, and Grant Buster. 2023. Impacts of Siting Considerations on Offshore Wind Technical Potential in the United States. Golden, CO: National Renewable Energy Laboratory. NREL/TP-6A20- 85088.
DOI: 10.18738/t8/uoes4s/fqr60a
title: Vid2RealPhase2_P14_vlp16_000382.bin
DOI: 10.18738/t8/uoes4s/a0ty2e
title: Vid2RealPhase2_P14_vlp16_000044.bin
DOI: 10.25984/2460458
title: National Transmission Planning Study - Long-Term Modeling Results

description: The National Transmission Planning Study (NTP Study) analyzed the transformation needed to ensure the U.S. transmission system continues to reliably meet electricity demand as the power sector evolves. The study linked several long- and short-term power systems models to test numerous interregional and regional transmission buildout scenarios. The results included in this dataset are from the long-term capacity expansion modeling, completed with NREL's ReEDS model. This includes nearly 100 future transmission scenarios with a wide range of economic, reliability, and resilience conditions. The dataset includes all the results visualized in the Tableau Public site, as linked below.
DOI: 10.18738/t8/uoes4s/8guypp
title: Vid2RealPhase2_P14_vlp16_000095.bin
DOI: 10.18738/t8/uoes4s/aqsfzs
title: Vid2RealPhase2_P14_vlp16_000353.bin
DOI: 10.18738/t8/uoes4s/acpkok
title: Vid2RealPhase2_P14_vlp16_000385.bin
DOI: 10.18738/t8/uoes4s/aeovkm
title: Vid2RealPhase2_P14_vlp16_000422.bin
DOI: 10.18738/t8/uoes4s/cb9vw0
title: Vid2RealPhase2_P14_vlp16_000043.bin
DOI: 10.18738/t8/uoes4s/rcxewo
title: Vid2RealPhase2_P14_vlp16_000092.bin
DOI: 10.18738/t8/uoes4s/xjgnu1
title: Vid2RealPhase2_P14_vlp16_000354.bin
DOI: 10.18738/t8/uoes4s/ckrlm2
title: Vid2RealPhase2_P14_vlp16_000270.bin
DOI: 10.18738/t8/uoes4s/gxenb8
title: Vid2RealPhase2_P14_vlp16_000167.bin
DOI: 10.18738/t8/uoes4s/0nqjnt
title: Vid2RealPhase2_P14_vlp16_000328.bin
DOI: 10.5281/zenodo.13910625
title: Anisotropic Rigidity Percolation Dataset

description: The folders are organized as follows:



System Size (L)/ Orientation Strength (r)/ [seed].csv


For example, a file at `125/1.0/1401209.csv` contains results for an isotropic (r=1) system of size 125x125, generating using random number seed 1401209. The columns in the csv are values of bond occupation (p), and the estimated four moduli (C_xxxx, C_yyyy, C_xyxy, C_xxyy)
DOI: 10.5281/zenodo.13910626
title: Anisotropic Rigidity Percolation Dataset

description: The folders are organized as follows:



System Size (L)/ Orientation Strength (r)/ [seed].csv


For example, a file at `125/1.0/1401209.csv` contains results for an isotropic (r=1) system of size 125x125, generating using random number seed 1401209. The columns in the csv are values of bond occupation (p), and the estimated four moduli (C_xxxx, C_yyyy, C_xyxy, C_xxyy)
DOI: 10.18738/t8/uoes4s/cs1zv4
title: Vid2RealPhase2_P14_vlp16_000202.bin
DOI: 10.18738/t8/uoes4s/1zpc0w
title: Vid2RealPhase2_P14_vlp16_000115.bin
DOI: 10.18738/t8/uoes4s/rmlvym
title: Vid2RealPhase2_P14_vlp16_000169.bin
DOI: 10.18738/t8/uoes4s/iyudgz
title: Vid2RealPhase2_P14_vlp16_000450.bin
DOI: 10.18738/t8/uoes4s/acdldo
title: Vid2RealPhase2_P14_vlp16_000031.bin
DOI: 10.18738/t8/uoes4s/txax72
title: Vid2RealPhase2_P14_vlp16_000481.bin
DOI: 10.18738/t8/uoes4s/v7v6ac
title: Vid2RealPhase2_P14_vlp16_000326.bin
DOI: 10.18738/t8/uoes4s/ssxnzl
title: Vid2RealPhase2_P14_vlp16_000279.bin
DOI: 10.18738/t8/uoes4s/rvr4ya
title: Vid2RealPhase2_P14_vlp16_000457.bin
DOI: 10.18738/t8/uoes4s/lknhnc
title: Vid2RealPhase2_P14_vlp16_000036.bin
DOI: 10.18738/t8/uoes4s/moophf
title: Vid2RealPhase2_P14_vlp16_000321.bin
DOI: 10.18738/t8/uoes4s/xr7i3x
title: Vid2RealPhase2_P14_vlp16_000486.bin
DOI: 10.18738/t8/uoes4s/vbsksw
title: Vid2RealPhase2_P14_vlp16_000205.bin
DOI: 10.18738/t8/uoes4s/5qg9dj
title: Vid2RealPhase2_P14_vlp16_000112.bin
DOI: 10.18738/t8/uoes4s/gb7bdi
title: Vid2RealPhase2_P14_vlp16_000330.bin
DOI: 10.18738/t8/uoes4s/38jzr7
title: Vid2RealPhase2_P14_vlp16_000446.bin
DOI: 10.18738/t8/uoes4s/aoybjj
title: Vid2RealPhase2_P14_vlp16_000027.bin
DOI: 10.18738/t8/uoes4s/npwisi
title: Vid2RealPhase2_P14_vlp16_000268.bin
DOI: 10.18738/t8/uoes4s/qsrbx9
title: Vid2RealPhase2_P14_vlp16_000103.bin
DOI: 10.18738/t8/uoes4s/1kdkyq
title: Vid2RealPhase2_P14_vlp16_000214.bin
DOI: 10.15468/dl.w7t878
title: Occurrence Download

description: A dataset containing 8729 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Svalbard and Jan Mayen",
 "TaxonKey is Alle alle"
 ]
}

 The dataset includes 8729 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044245-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dtz93x
title: Occurrence Download

description: A dataset containing 50 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ceratothoa gaudichaudii"
 ]
}

 The dataset includes 50 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044248-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t26tj4
title: Occurrence Download

description: A dataset containing 484 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Poland",
 "TaxonKey is Nicrophorus vespilloides"
 ]
}

 The dataset includes 484 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044246-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.59n8w6
title: Occurrence Download

description: A dataset containing 1145 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Australia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Rhincodon typus",
 "Year 1840-2025"
 ]
}

 The dataset includes 1145 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044247-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f4mckt
title: Occurrence Download

description: A dataset listing the 145 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((17.20768 48.35376,17.21986 48.36016,17.20348 48.3744,17.17151 48.37984,17.15163 48.37362,17.16645 48.36586,17.19023 48.35834,17.20768 48.35376))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 145 records were derived from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044228-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z3876w
title: Occurrence Download

description: A dataset listing the 290 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is French Southern Territories",
 "Geometry POLYGON((68.57887 -49.84252,70.62965 -49.84252,70.62965 -48.49478,68.57887 -48.49478,68.57887 -49.84252))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Bryophyta"
 ]
}

 The dataset's 290 records were derived from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044233-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5ysu2x
title: Occurrence Download

description: A dataset containing 71 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Solenopsis richteri)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year is not null",
 "BasisOfRecord is one of (Human Observation, Occurrence evidence)",
 "Year is greater than or equal to 2010",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 71 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044250-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17878154
title: Drone Assisted IoT Logistics Operations Dataset

description: This dataset captures real-world operational records from drone-assisted and truck-supported logistics activities carried out across the Greater Toronto Area between January 2017 and December 2024. Toronto’s dense urban landscape, diverse delivery demands, and highly dynamic traffic and weather conditions make it an ideal environment for studying intelligent logistics, route optimization, and IoT-enabled delivery systems.

The dataset includes hourly observations spanning multiple years, offering a rich foundation for research in areas such as predictive modeling, spatiotemporal learning, autonomous routing, resource scheduling, and operational analytics. Each record reflects the state of a logistics event, including delivery characteristics, drone telemetry, environmental conditions, route behavior, and delivery outcomes.

Contents & Feature Summary:

The dataset consists of 26 attributes, grouped into the following categories:

1. Temporal and Identification Fields





Timestamp: Hourly record time.




Order ID: Unique identifier for each delivery task.




Route ID / Adjusted Route ID: Routing identifiers reflecting operational and recalculation decisions.




Recalculation Timestamp: System-triggered updates when conditions change.



2. Geospatial Delivery Attributes





Delivery Location (Lat/Lon): Geographic coordinates of the delivery endpoint.




Calculated Distance (km): Estimated travel distance from origin to destination.




Estimated Delivery Time (min): Operational expectation of delivery duration.



3. Package Characteristics





Weight of Package (kg)




Volume of Package (m³)




Delivery Time Window




Priority Level (normal / express / urgent)




Cost of Delivery



4. Drone Telemetry & Operational Factors





Drone ID




Drone Battery Level (%)




Drone Capacity (kg)



5. Environmental & Traffic Conditions





Weather Conditions (sunny, rainy, snowy, foggy)




Traffic Conditions (light, moderate, heavy)




Road Status (open / blocked)




Blocked Reason (accident, maintenance, etc.)



6. Performance & Outcome Metrics





Delivery Success (0/1)




Customer Feedback Score (1–5)




Delivery Delay (min)
DOI: 10.5281/zenodo.17878153
title: Drone Assisted IoT Logistics Operations Dataset

description: This dataset captures real-world operational records from drone-assisted and truck-supported logistics activities carried out across the Greater Toronto Area between January 2017 and December 2024. Toronto’s dense urban landscape, diverse delivery demands, and highly dynamic traffic and weather conditions make it an ideal environment for studying intelligent logistics, route optimization, and IoT-enabled delivery systems.

The dataset includes hourly observations spanning multiple years, offering a rich foundation for research in areas such as predictive modeling, spatiotemporal learning, autonomous routing, resource scheduling, and operational analytics. Each record reflects the state of a logistics event, including delivery characteristics, drone telemetry, environmental conditions, route behavior, and delivery outcomes.

Contents & Feature Summary:

The dataset consists of 26 attributes, grouped into the following categories:

1. Temporal and Identification Fields





Timestamp: Hourly record time.




Order ID: Unique identifier for each delivery task.




Route ID / Adjusted Route ID: Routing identifiers reflecting operational and recalculation decisions.




Recalculation Timestamp: System-triggered updates when conditions change.



2. Geospatial Delivery Attributes





Delivery Location (Lat/Lon): Geographic coordinates of the delivery endpoint.




Calculated Distance (km): Estimated travel distance from origin to destination.




Estimated Delivery Time (min): Operational expectation of delivery duration.



3. Package Characteristics





Weight of Package (kg)




Volume of Package (m³)




Delivery Time Window




Priority Level (normal / express / urgent)




Cost of Delivery



4. Drone Telemetry & Operational Factors





Drone ID




Drone Battery Level (%)




Drone Capacity (kg)



5. Environmental & Traffic Conditions





Weather Conditions (sunny, rainy, snowy, foggy)




Traffic Conditions (light, moderate, heavy)




Road Status (open / blocked)




Blocked Reason (accident, maintenance, etc.)



6. Performance & Outcome Metrics





Delivery Success (0/1)




Customer Feedback Score (1–5)




Delivery Delay (min)
DOI: 10.15468/dl.v63c9r
title: Occurrence Download

description: A dataset containing 44217 species occurrences available in GBIF matching the query:
{
 "and" : [
 "SpeciesKey is Antheraea polyphemus",
 "HasCoordinate is True"
 ]
}

 The dataset includes 44217 records from 74 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044249-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.