cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17266386
title: Multi Language Models for On-the-Fly Syntax Highlighting

description: Syntax highlighting is a critical feature in modern software development environments, enhancing code readability and developer productivity. However, delivering accurate highlighting in real-time remains intractable in online and web-based development tools due to strict time and memory constraints on backend services. These syntax highlighting systems must serve highlights rapidly and frequently, including in scenarios where code is only partially valid or entirely invalid. This has led to the concept of on-the-fly syntax highlighting, where visual annotations are generated just before content is served online, often at high request rates and under incomplete input conditions. To meet these demands efficiently, state-of-the-art models leverage Convolutional Neural Networks to automatically learn the behavior of brute-force syntax highlighting resolvers; tools that are easy for developers to implement but too slow for deployment. Through a process we refer to as Deep Abstraction, these brute-force strategies are encoded into fast, statistical models that offer both high accuracy and low-latency inference. Despite their success, such models still face key challenges: they are limited to supporting a single programming language per model, require the generation of large datasets via slow and inefficient brute-force generators, and involve long and resource-intensive training sessions. In multi-language environments, this leads to the need for maintaining and deploying multiple independent models, one per language, which increases system complexity and operational overhead. This work addresses these challenges by introducing a unified model capable of effectively highlighting up to six mainstream programming languages, thereby reducing deployment complexity by a factor of six and improving performance on previously unseen languages. A novel normalization technique is proposed, which significantly enhances model generalization to languages it has not been explicitly trained on. Furthermore, the study explores few-shot learning tasks aimed at reducing the cost of training syntax highlighting models. By relying on a small number of manually generated oracle samples instead of large datasets, this approach minimizes dependence on brute-force highlighters and reduces training effort. The proposed normalization step further boosts model accuracy under these constraints, paving the way for efficient, scalable, and cost-effective syntax highlighting across a wide range of programming languages
DOI: 10.5281/zenodo.17266387
title: Multi Language Models for On-the-Fly Syntax Highlighting

description: Syntax highlighting is a critical feature in modern software development environments, enhancing code readability and developer productivity. However, delivering accurate highlighting in real-time remains intractable in online and web-based development tools due to strict time and memory constraints on backend services. These syntax highlighting systems must serve highlights rapidly and frequently, including in scenarios where code is only partially valid or entirely invalid. This has led to the concept of on-the-fly syntax highlighting, where visual annotations are generated just before content is served online, often at high request rates and under incomplete input conditions. To meet these demands efficiently, state-of-the-art models leverage Convolutional Neural Networks to automatically learn the behavior of brute-force syntax highlighting resolvers; tools that are easy for developers to implement but too slow for deployment. Through a process we refer to as Deep Abstraction, these brute-force strategies are encoded into fast, statistical models that offer both high accuracy and low-latency inference. Despite their success, such models still face key challenges: they are limited to supporting a single programming language per model, require the generation of large datasets via slow and inefficient brute-force generators, and involve long and resource-intensive training sessions. In multi-language environments, this leads to the need for maintaining and deploying multiple independent models, one per language, which increases system complexity and operational overhead. This work addresses these challenges by introducing a unified model capable of effectively highlighting up to six mainstream programming languages, thereby reducing deployment complexity by a factor of six and improving performance on previously unseen languages. A novel normalization technique is proposed, which significantly enhances model generalization to languages it has not been explicitly trained on. Furthermore, the study explores few-shot learning tasks aimed at reducing the cost of training syntax highlighting models. By relying on a small number of manually generated oracle samples instead of large datasets, this approach minimizes dependence on brute-force highlighters and reduces training effort. The proposed normalization step further boosts model accuracy under these constraints, paving the way for efficient, scalable, and cost-effective syntax highlighting across a wide range of programming languages
DOI: 10.15468/dl.z49gub
title: Occurrence Download

description: A dataset containing 109 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Greece",
 "OccurrenceStatus is Present",
 "TaxonKey is Glaucidium passerinum"
 ]
}

 The dataset includes 109 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050304-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gs88c8
title: Occurrence Download

description: A dataset containing 17306 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Achillea millefolium",
 "Geometry POLYGON ((26.04335 1.226334, 135.0263 1.226334, 135.0263 55.38525, 26.04335 55.38525, 26.04335 1.226334))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 17306 records from 196 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050303-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26023/1zd7-3sdq-ct0q
title: INDOEX: Maldives KCO Surface Observations 10 Minute Means. Version 1.0

description: This data set contains 10-minute means for meteorological data (wind speed, wind direction, barometric pressure, air temperature, relative humidity and rainfall) collected at the Kaashidhoo Climate Observatory (KCO) during the INDOEX IFP January to March 1999. Data coverage is (inclusive) 01 January 1999 to 31 March 1999. The instruments were mounted about 14 m above sea level (mean elevation of the site is about 0.5-1.0 m) on the top of the observation tower, except for the rain gauge, which was mounted on top of the roof of the observatory, about 6 m above sea level.
DOI: 10.34740/kaggle/dsv/13268107
title: Global Genomic Neurofibromatosis Neoplasia
DOI: 10.15468/dl.tdjs2n
title: Occurrence Download

description: A dataset containing 65 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Coleophora texanella",
 "Country is France",
 "HasCoordinate is true"
 ]
}

 The dataset includes 65 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050306-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17255995
title: "Aircraft Detective" Dataset

description:  






File

Source
Description




 05-10-2025_T_SCHEDULE_T2.csv

U.S. Bureau of Transportation Statistics dataset T2: U.S. Air Carrier TRAFFIC And Capacity Statistics by Aircraft Type
Statistical data summarizing traffic data reported by U.S. air carriers. Includes fuel use, RPK, ASK, etc. at the aircraft type level.


05-10-2025_L_AIRCRAFT_TYPES.csv
U.S. Bureau of Transportation Statistics column description aircraft type
Lookup table matching T2 numerical codes to aircraft type names.
DOI: 10.15468/dl.jktfa6
title: Occurrence Download

description: A dataset containing 1837 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Achnatherum sibiricum",
 "Geometry POLYGON ((26.04335 1.226334, 135.0263 1.226334, 135.0263 55.38525, 26.04335 55.38525, 26.04335 1.226334))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1837 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050307-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26023/2hh2-4fbd-290j
title: INDOEX: Maldives KCO Surface Observations Hourly Means. Version 1.0

description: This data set contains hourly means for meteorological data (wind speed, wind direction, barometric pressure, air temperature, relative humidity and rainfall) collected at the Kaashidhoo Climate Observatory (KCO) during the INDOEX IFP January to March 1999. Data coverage is (inclusive) 01 January 1999 to 31 March 1999. The instruments were mounted about 14 m above sea level (mean elevation of the site is about 0.5-1.0 m) on the top of the observation tower, except for the rain gauge, which was mounted on top of the roof of the observatory, about 6 m above sea level.
DOI: 10.15468/dl.z4yeu3
title: Occurrence Download

description: A dataset containing 111 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chilo suppressalis",
 "Country is France",
 "HasCoordinate is true"
 ]
}

 The dataset includes 111 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050308-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.792wau
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chilo suppressalis",
 "Country is Russian Federation",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050309-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26023/76e0-n8y7-zn11
title: INDOEX: Maldives KCO Surface Observations Daily Means. Version 1.0

description: This data set contains daily means for meteorological data (wind speed, wind direction, barometric pressure, air temperature, relative humidity and rainfall) collected at the Kaashidhoo Climate Observatory (KCO) during the INDOEX IFP January to March 1999. Data coverage is (inclusive) 01 January 1999 to 31 March 1999. The instruments were mounted about 14 m above sea level (mean elevation of the site is about 0.5-1.0 m) on the top of the observation tower, except for the rain gauge, which was mounted on top of the roof of the observatory, about 6 m above sea level.
DOI: 10.15468/dl.qp6xzw
title: Occurrence Download

description: A dataset containing 100 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aconitum heterophyllum",
 "Geometry POLYGON ((26.04335 1.226334, 135.0263 1.226334, 135.0263 55.38525, 26.04335 55.38525, 26.04335 1.226334))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 100 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050310-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6efdju
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Crocidophora butleri",
 "Country is France",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050311-250920141307145/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/13268147
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.ekjmjj
title: Occurrence Download

description: A dataset containing 71 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aconitum violaceum",
 "Geometry POLYGON ((26.04335 1.226334, 135.0263 1.226334, 135.0263 55.38525, 26.04335 55.38525, 26.04335 1.226334))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 71 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050313-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26023/cw87-n8zw-e409
title: INDOEX: Maldives KCO All Sky Camera Imagery. Version 1.0

description: This data set is a collection of 17140 daytime cloud images taken with a Total Sky Imager (TSI; Yankee Environmental Systems) at the Kaashidhoo Climate Observatory (KCO) in the Maldives, during the 1999 INDOEX intensive field phase. The data set starts on 19 February 1999 at 10:43:39 Universal Time and ends on 31 March 1999 at 13:08:33 UT. KCO is located at 4.9664 degrees N and 73.4657 degrees E, the TSI was mounted about 5 m above sea level (mean elevation of the site is about 0.5-1.0 m) on the rooftop of the accommodation house.
DOI: 10.15468/dl.hcpr3d
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Zebronia phenice",
 "Country is France",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050314-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jwb2cj
title: Occurrence Download

description: A dataset containing 82 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Araeopteron ecphaea",
 "Country is France",
 "HasCoordinate is true"
 ]
}

 The dataset includes 82 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050315-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wqgby3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Adiantum abscissum",
 "Geometry POLYGON ((26.04335 1.226334, 135.0263 1.226334, 135.0263 55.38525, 26.04335 55.38525, 26.04335 1.226334))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050316-250920141307145/datasets/export for details.
DOI: 10.26023/1z42-twe1-530t
title: INDOEX: NSF/NCAR C-130 Radiation Measurements. Version 1.0

description: This dataset contains measurements from the Radiation Measurement System (RAMS), a multi-instrument array mounted on the NCAR C-130 during INDOEX. Datafiles for each flight of the C-130 during INDOEX are included (from 16Feb99 to 25Mar99).
DOI: 10.15468/dl.48s7m4
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acontia crocata",
 "Country is France",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050317-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kz4xuu
title: Occurrence Download

description: A dataset containing 478 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Adiantum venustum",
 "Geometry POLYGON ((26.04335 1.226334, 135.0263 1.226334, 135.0263 55.38525, 26.04335 55.38525, 26.04335 1.226334))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 478 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050318-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26023/bekq-c2em-6n04
title: CFACT: NCAR/EOL ISS RASS Virtual Temperature. Version 1.0

description: Radio Acoustic Sounding System (RASS) virtual temperature collected by the EOL/Integrated Sounding System team during the Cold Fog Amongst Complex Terrain (CFACT) field campaign in Heber Valley, Utah. The instrument was set-up in tandem with the 449 MHz Modular Wind Profiler at the North Pivot.
DOI: 10.15468/dl.9d825c
title: Occurrence Download

description: A dataset containing 741 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Libythea celtis",
 "Country is France",
 "HasCoordinate is true"
 ]
}

 The dataset includes 741 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050319-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nvaetn
title: Occurrence Download

description: A dataset containing 2043834 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Philippines",
 "GadmGid is PHL",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 2043834 records from 762 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050300-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j8p5jt
title: Occurrence Download

description: A dataset containing 163 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aesculus indica",
 "Geometry POLYGON ((26.04335 1.226334, 135.0263 1.226334, 135.0263 55.38525, 26.04335 55.38525, 26.04335 1.226334))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 163 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050320-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kmxaf5
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Autosticha modicella",
 "Country is France",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050322-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26023/38h5-jq0a-rq0n
title: INDOEX: Maldives KCO Radiation Measurements. Version 1.0

description: This dataset contains measurements from the Radiation Measurement System (RAMS), a multi-instrument array mounted at the Kaashidhoo Climate Observatory during INDOEX. Datafiles for each day of operation during INDOEX are included (from 12Feb99 to 28Mar99).
DOI: 10.15468/dl.zvaxzx
title: Occurrence Download

description: A dataset containing 11276 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ailanthus altissima",
 "Geometry POLYGON ((26.04335 1.226334, 135.0263 1.226334, 135.0263 55.38525, 26.04335 55.38525, 26.04335 1.226334))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 11276 records from 117 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050323-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.udpk44
title: Occurrence Download

description: A dataset containing 83 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Borkhausenia nefrax",
 "Country is France",
 "HasCoordinate is true"
 ]
}

 The dataset includes 83 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050325-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mvvghn
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Borkhausenia nefrax",
 "Country is Poland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050326-250920141307145/datasets/export for details.
DOI: 10.26023/j0pf-h5kh-7h0b
title: INDOEX: R/V Ron Brown Nitrogen Oxides Data. Version 1.0

description: This data set contains measurements of nitrogen oxides made on the Ron Brown ship during the INDOEX project.
DOI: 10.15468/dl.28sxxw
title: Occurrence Download

description: A dataset containing 333 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ajuga integrifolia",
 "Geometry POLYGON ((26.04335 1.226334, 135.0263 1.226334, 135.0263 55.38525, 26.04335 55.38525, 26.04335 1.226334))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 333 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050327-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48432/byav81
title: LiDAR survey on 1257 hectares in Reserva Ducke, Amazonas, Brazil, 2021.

description: The LiDAR data Reserva Ducke (DUC_A01_2021_LiDAR) refers to the survey carried out in Amazonas state, Brazil. The data were collected under the project Sustainable Landscapes, a project supported by the United States Agency for International Development (USAID) and US Department of State. The United States Forest Service working in collaboration with the Brazilian Agricultural Research Corporation (Embrapa) have made possible the provision of high accuracy LiDAR data aiming at developing new methods and generating knowledge in the field. This dataset contains: a. Classified LAS formatted point cloud data – compressed LAS files: LAZ format (vendor delivered); b. Map of LiDAR coverage area and block boundaries; “Data were acquired by the Sustainable Landscapes Brazil project supported by the Brazilian Agricultural Research Corporation (Embrapa), the US Forest Service, USAID and the US Department of State."
DOI: 10.6073/pasta/2d492b3a1d13602907f047b9fa1ec71c
title: Lake ice thickness and density measurements, McMurdo Dry Valleys, Antarctica (1989-2023, ongoing)

description: As part of the McMurdo Dry Valleys Long Term Ecological Research (LTER) project, ice thickness and density are measured annually for several lakes located throughout this region of Antarctica. Ice thickness is measured from the bottom of the ice cover to the piezometric water level and to the top of the ice cover. Because most limnological sampling holes are drilled in low-lying areas, it was thought that ice thickness measurements were biased. Therefore, random ice thickness measurements were performed in a 1000 m2 sampling grid on each lake in past years. Statistical analyses by Dr. Priscu have shown that measurements from three ice holes are representative of the ice thickness measured by this grid system.
DOI: 10.5281/zenodo.14884714
title: A grid of 2D non-LTE models
DOI: 10.5281/zenodo.14884715
title: A grid of 2D non-LTE models