cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.c52tj6
title: Occurrence Download

description: A dataset containing 742 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anisoptera costata Korth."
 ]
}

 The dataset includes 742 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008894-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.37nkvs
title: Occurrence Download

description: A dataset containing 67 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aquilaria agallocha (Lour.) Roxb. ex Finl."
 ]
}

 The dataset includes 67 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008896-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vj9t22
title: Occurrence Download

description: A dataset containing 1366 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anneslea fragrans Wall."
 ]
}

 The dataset includes 1366 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008895-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15034215
title: Enhancing Electric Vehicle Security with Face Recognition: Implementation Using Raspberry Pi

description: Facial identification has emerged as a key research area due to its potential to enhance biometric security. This research proposes an advanced security system for electric vehicles (EVs) based on facial identification, implemented using Raspberry Pi. The system comprises two main modules: Face Detection and Face Recognition. For face detection, the researchers propose using the Viola-Jones algorithm, which leverages Haar-like features to detect and extract unique facial features, such as the eyes, nose, and mouth. MATLAB will be used as the development tool for this module. For face recognition, the proposed approach integrates Principal Component Analysis (PCA) with Support Vector Machine (SVM). PCA is used to extract the most relevant facial information and construct a computational model, while SVM enhances classification accuracy. The system's performance is evaluated using accuracy and the Receiver Operating Characteristic (ROC) curve. The accuracy of face recognition depends significantly on the quality of the training dataset. For this study, the AT&T dataset was selected due to its standard format, suitable for facial recognition training. The proposed system achieved a face recognition accuracy of 95%, demonstrating its effectiveness in enhancing EV security. This method promises reliable and advanced biometric protection for modern applications.
DOI: 10.5281/zenodo.15034216
title: Enhancing Electric Vehicle Security with Face Recognition: Implementation Using Raspberry Pi

description: Facial identification has emerged as a key research area due to its potential to enhance biometric security. This research proposes an advanced security system for electric vehicles (EVs) based on facial identification, implemented using Raspberry Pi. The system comprises two main modules: Face Detection and Face Recognition. For face detection, the researchers propose using the Viola-Jones algorithm, which leverages Haar-like features to detect and extract unique facial features, such as the eyes, nose, and mouth. MATLAB will be used as the development tool for this module. For face recognition, the proposed approach integrates Principal Component Analysis (PCA) with Support Vector Machine (SVM). PCA is used to extract the most relevant facial information and construct a computational model, while SVM enhances classification accuracy. The system's performance is evaluated using accuracy and the Receiver Operating Characteristic (ROC) curve. The accuracy of face recognition depends significantly on the quality of the training dataset. For this study, the AT&T dataset was selected due to its standard format, suitable for facial recognition training. The proposed system achieved a face recognition accuracy of 95%, demonstrating its effectiveness in enhancing EV security. This method promises reliable and advanced biometric protection for modern applications.
DOI: 10.5439/2558180
title: Snow ALbedo eVOlution (SALVO) Campaign Broadband Albedo from April - June, 2024 in Utqiagivk, AK level a1

description: A field-portable broadband (285 – 2800 nm) albedometer was used to make spatially distributed albedo measurements on tundra and sea ice surfaces. The albedometer consists of paired upward-looking and downward-looking pyranometers, which were both connected to a data logger. The instrument was mounted approximately 1 m above the surface using a tripod and was placed on a 1.4 m-long boom to minimize the impacts of shading from the operator and to observe surfaces undisturbed by footprints (see Appendix for photos of measurement setup and uncertainty assessment). Albedo measurements were taken parallel to the 200-m albedo lines at 5-m increments (41 measurements) ~1.2 m south of the line. On the operator’s end of the boom, there was a bubble level that was aligned with the bubble level on the upward-looking pyranometer. To take a measurement, the operator first relocated the tripod to the measurement location, then leveled the instrument and held it level for at least twice the pyranometers’ response time (5 or 15 seconds, see below), and finally depressed a trigger on the data logger. The data logger recorded the instantaneous voltage on both pyranometers, the measurement number, and the time. The data logger also converted the voltages to irradiances, and from these computed the ratio (outgoing/incoming) for albedo, which could be checked in the field. The operator recorded in a field notebook the measurement number that corresponded with the locations on the line and any pertinent notes (e.g., invalid measurements). With this setup, a trained operator could measure a 200-m albedo line (41 measurements) in approximately 30 minutes. Measurements were made within 3 hours of solar noon. The data logger had sufficient storage capacity to record all measurements from the campaign, but data were downloaded to a computer after each measurement day.
DOI: 10.15468/dl.yk8eza
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((122.95653 33.40089,126.84892 32.57222,130.25287 33.78496,133.96533 40.89141,130.56055 43.10452,126.24782 42.65055,123.66547 40.2621,123.24026 38.45132,122.95653 33.40089))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tadarida insignis (Blyth, 1862)"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008898-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2024-04.3094400/2560049
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3094401/2560050
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3094403/2560051
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3094404/2560052
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3094406/2560053
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3094408/2560054
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3094409/2560055
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3094413/2560056
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3094414/2560057
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3094420/2560058
title: Data for EMSL Project 51287 from April 2024
DOI: 10.15468/dl.9427j8
title: Occurrence Download

description: A dataset containing 1684698 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((114.43651 -5.587729, 114.444502 -5.583571, 115.639502 -4.938559, 115.794401 -4.82313, 115.844702 -4.78348, 118.977289 0.936411, 118.998201 0.98707, 119.271101 5.239981, 119.2097 5.428171, 118.524401 7.036951, 118.518499 7.043692, 118.5081 7.049311, 117.235903 7.36268, 117.0068 7.358942, 108.006582 4.77458, 107.994699 4.767611, 107.927301 4.699022, 107.007772 0.64361, 107.01053 0.627192, 107.2078 0.125669, 107.215601 0.106173, 108.672701 -1.71464, 110.100401 -2.895349, 110.107599 -2.90127, 114.425699 -5.58614, 114.43651 -5.587729))"
 ]
}

 The dataset includes 1684698 records from 818 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008855-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2024-04.3094424/2560059
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3094426/2560060
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3094427/2560061
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3094429/2560062
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3094430/2560063
title: Data for EMSL Project 51287 from April 2024
DOI: 10.15468/dl.bez2xx
title: Occurrence Download

description: A dataset containing 72899 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((106.53103 16.25605, 106.58286 16.28983, 106.72237 16.4291, 106.82513 16.59661, 106.83539 16.61574, 106.8445 16.64584, 106.88385 16.83654, 106.88512 16.91034, 106.8807 16.9195, 106.2443 18.05513, 106.2321 18.06344, 105.3334 18.67397, 104.57223 19.17362, 104.43058 19.24243, 104.4116 19.2414, 104.30573 19.21011, 103.68649 18.9991, 103.6607 18.98922, 103.52945 18.80278, 103.57106 18.66714, 104.8425 16.91919, 104.85731 16.90026, 104.89599 16.86817, 104.98321 16.81222, 105.7109 16.46192, 106.53103 16.25605))"
 ]
}

 The dataset includes 72899 records from 303 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008853-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2024-04.3094431/2560064
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3094434/2560065
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3094439/2560066
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3094440/2560067
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3094441/2560068
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3094444/2560069
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3094446/2560070
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3094451/2560071
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3094457/2560072
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3094458/2560073
title: Data for EMSL Project 51287 from April 2024
DOI: 10.15468/dl.qq9wcx
title: Occurrence Download

description: A dataset containing 1739 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is BatMapPH: Philippine Bat Species Occurrence Database"
 ]
}

 The dataset includes 1739 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008899-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2024-04.3094460/2560074
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3094461/2560075
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3094462/2560076
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3094465/2560077
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3094466/2560078
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3094467/2560079
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3094469/2560080
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3094471/2560081
title: Data for EMSL Project 51287 from April 2024
DOI: 10.15468/dl.2va7dw
title: Occurrence Download

description: A dataset containing 72899 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((106.53103 16.25605, 106.58286 16.28983, 106.72237 16.4291, 106.82513 16.59661, 106.83539 16.61574, 106.8445 16.64584, 106.88385 16.83654, 106.88512 16.91034, 106.8807 16.9195, 106.2443 18.05513, 106.2321 18.06344, 105.3334 18.67397, 104.57223 19.17362, 104.43058 19.24243, 104.4116 19.2414, 104.30573 19.21011, 103.68649 18.9991, 103.6607 18.98922, 103.52945 18.80278, 103.57106 18.66714, 104.8425 16.91919, 104.85731 16.90026, 104.89599 16.86817, 104.98321 16.81222, 105.7109 16.46192, 106.53103 16.25605))"
 ]
}

 The dataset includes 72899 records from 303 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008856-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pejzu3
title: Occurrence Download

description: A dataset containing 1263 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is USA.22_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Ficaria verna Huds."
 ]
}

 The dataset includes 1263 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014065-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.er65f7
title: Occurrence Download

description: A dataset containing 72445108 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 72445108 records from 1804 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014042-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.svn72h
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Casarea dussumieri)",
 "Country is one of (American Samoa, Australia, Christmas Island, Cocos (Keeling) Islands, Cook Islands, Fiji, French Polynesia, Guam, Heard Island and McDonald Islands, Kiribati, Marshall Islands, Micronesia (Federated States of), Nauru, New Caledonia, New Zealand, Niue, Norfolk Island, Northern Mariana Islands, Palau, Papua New Guinea, Pitcairn, Samoa, Solomon Islands, Tokelau, Tonga, Tuvalu, United States Minor Outlying Islands, Vanuatu, Wallis and Futuna)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026840-250802193616735/datasets/export for details.
DOI: 10.15468/dl.e4tzhb
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Casarea dussumieri)",
 "Country is one of (Algeria, Angola, Benin, Botswana, British Indian Ocean Territory, Burkina Faso, Burundi, Cabo Verde, Cameroon, Central African Republic, Chad, Comoros, Congo, Congo, Democratic Republic of the, Côte d’Ivoire, Djibouti, Egypt, Equatorial Guinea, Eritrea, Eswatini, Ethiopia, French Southern Territories, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia, Libya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mayotte, Morocco, Mozambique, Namibia, Niger, Nigeria, Réunion, Rwanda, Saint Helena, Ascension and Tristan da Cunha, Sao Tome and Principe, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, South Sudan, Sudan, Tanzania, United Republic of, Togo, Tunisia, Uganda, Western Sahara, Zambia, Zimbabwe)"
 ]
}

 The dataset includes 11 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026839-250802193616735/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.29856731
title: Owens Lake (California) Vegetated Dune Areas Water Balance Data Package

description: This dataset contains precipitation, soil water storage, evapotranspiration, and groundwater depth for multiple dune sites around Owens Lake in California. Also included in the data package are oxygen isotope data for water samples collected from shrubs, soil, groundwater, and precipitation.
DOI: 10.6084/m9.figshare.29856731.v1
title: Owens Lake (California) Vegetated Dune Areas Water Balance Data Package

description: This dataset contains precipitation, soil water storage, evapotranspiration, and groundwater depth for multiple dune sites around Owens Lake in California. Also included in the data package are oxygen isotope data for water samples collected from shrubs, soil, groundwater, and precipitation.
DOI: 10.15468/dl.j2ggu3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Casarea dussumieri)",
 "Country is one of (Åland Islands, Albania, Andorra, Austria, Belarus, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Czechia, Denmark, Estonia, Faroe Islands, Finland, France, Germany, Gibraltar, Greece, Guernsey, Holy See, Hungary, Iceland, Ireland, Isle of Man, Italy, Jersey, Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Moldova, Republic of, Monaco, Montenegro, Netherlands, North Macedonia, Norway, Poland, Portugal, Romania, Russian Federation, San Marino, Serbia, Slovakia, Slovenia, Spain, Svalbard and Jan Mayen, Sweden, Switzerland, Ukraine, United Kingdom of Great Britain and Northern Ireland)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026841-250802193616735/datasets/export for details.
DOI: 10.5281/zenodo.16773495
title: Replication Package for the paper "A Study of Popular Artificial Intelligence Python Modules in Open Source Projects"

description: This replication package contains the list of projects scanned by PySniffer and the list AI libraries searched in these projects:
DOI: 10.5281/zenodo.16773496
title: Replication Package for the paper "A Study of Popular Artificial Intelligence Python Modules in Open Source Projects"

description: This replication package contains the list of projects scanned by PySniffer and the list AI libraries searched in these projects:
DOI: 10.6084/m9.figshare.29856752
title: Trial 1 combined data

description: Trial 1 data combined
DOI: 10.6084/m9.figshare.29856752.v1
title: Trial 1 combined data

description: Trial 1 data combined
DOI: 10.15468/dl.rk747z
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Apogon isostigma"
 ]
}

 The dataset includes 11 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026842-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n6u4mp
title: Occurrence Download

description: A dataset containing 181 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Anolis punctatus"
 ]
}

 The dataset includes 181 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026844-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6ayvp7
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Chondrostoma beysehirense)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 10 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026845-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.quay4p
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Nactus serpensinsula)",
 "Country is one of (Afghanistan, Armenia, Azerbaijan, Bahrain, Bangladesh, Bhutan, Brunei Darussalam, Cambodia, China, Cyprus, Georgia, Hong Kong, India, Indonesia, Iran (Islamic Republic of), Iraq, Israel, Japan, Jordan, Kazakhstan, Korea (Democratic People’s Republic of), Korea, Republic of, Kuwait, Kyrgyzstan, Lao People’s Democratic Republic, Lebanon, Macao, Malaysia, Maldives, Mongolia, Myanmar, Nepal, Oman, Pakistan, Palestine, State of, Philippines, Qatar, Saudi Arabia, Singapore, Sri Lanka, Syrian Arab Republic, Tajikistan, Thailand, Timor-Leste, Türkiye, Turkmenistan, United Arab Emirates, Uzbekistan, Viet Nam, Yemen)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026847-250802193616735/datasets/export for details.