cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.nqn4ct
title: Occurrence Download

description: A dataset containing 1191 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen, Occurrence evidence)",
 "Continent is South America",
 "Country is Ecuador",
 "DatasetKey is one of (iNaturalist Research-grade Observations, Tropicos Specimens Non-MO, The New York Botanical Garden Herbarium (NY), Tropicos MO Specimen Data, Colección plantas vasculares del Herbario Reinaldo Espinosa (Herbario LOJA) de la Universidad Nacional de Loja, The AAU Herbarium Database, Field Museum of Natural History (Botany) Seed Plant Collection, A global database for the distributions of crop wild relatives, Phanerogamic Botanical Collections (S), HUTPL Vascular Plants)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Vaccinium floribundum Kunth"
 ]
}

 The dataset includes 1191 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010003-250525065834625/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/12010631
title: Balochi Language to English Translation Dataset
DOI: 10.15468/dl.d5f9zk
title: Occurrence Download

description: A dataset containing 660 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Colección de la Clase Reptilia (Superfamilia Gekkota) del Museo de Zoología de la Universidad de Concepción UCCC_MZUC_REP"
 ]
}

 The dataset includes 660 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001655-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p147tt67
title: Delmarva Peninsula Stream Health and Habitat Assessments in Maryland and Delaware (2022) (ver. 2.0, April 2025)

description: U. S. Geological Survey (USGS) scientists completed a data collection campaign from the 25th of April to the 10th of June in 2022, using various methods to record geomorphic and habitat indicators throughout 30 streams on the Delmarva Peninsula.  Field methods included GNSS surveys, gravelometer-based pebble count readings, visual assessments, and riparian analyses. This metadata record contains all recorded observations from the campaign as well as numerous summary metrics to be used in model development. Those "model-ready" data can be found in Delmarva_Summary_Metrics.csv in the parent item, while the two child items containing recorded in-channel observations and recorded survey data.

Attached to this release is a data dictionary containing general information about Delmarva_Model_Deliverable.csv. This information can be found in the SummaryMetrics_Dictionary.csv file.

The various data collected in this data release fall into the following categories describing both reach average and heterogeneity:
- Study Information
     - Internal site ID
- Riparian Statistics
     - Riparian assessment score
     - Riparian canopy cover
     - Riparian active width
- Bank Statistics
     - Eroding percent
     - Dendro lateral retreat rate
     - Bank vegetation
     - Modified BEHI score
     - Total to bankfull ratio
     - Bank substrate
     - Bank angle
     - Total bank height
     - Legacy sediment depth
- In-Channel Statistics
     - Wetted width
     - Bankfull width
     - Bankfull height
     - Pebble count
          - Average
          - Heterogeneity metrics
     - Embeddedness
          - Average
          - Heterogeneity metrics
     - Fine sediment
          - Average depth
          - Heterogeneity metrics
          - Loss on ignition at 950C
          - Loss on ignition at 550C
     - Water depth
          - Average
          - Heterogeneity metrics
     - Flow type
          - Average
          - Heterogeneity metrics
     - In-channel canopy cover
     - Vegetation coverage
          - Average
          - Heterogeneity metrics
     - Fish habitat coverage
          - Average
          - Heterogeneity metrics
     - Woody debris
- Survey Metrics
     - Thalweg sinuosity
     - Longitudinal roughness
     - Water surface slope
     - Cross section
          - Bankfull area
          - Total channel area
          - Total to bankfull area ratio
          - Cross sectional roughness
          - Wetted perimeter

Additionally, the following child items can be found attached to this data release:
- Delmarva Peninsula Raw Habitat and Riparian Assessment Data (2022): All field forms collected by technicians from the Habitat Assessment field teams.
- Delmarva Peninsula Stream Survey (2022): All coordinate data from surveying campaign collected by Habitat Assessment field teams.

Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.
DOI: 10.15468/dl.mv8yg6
title: Occurrence Download

description: A dataset containing 2902 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Albizia julibrissin Durazz.",
 "Country is Korea, Republic of"
 ]
}

 The dataset includes 2902 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007357-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gpn5sp
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Albizia julibrissin Durazz.",
 "Country is Sri Lanka"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007359-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xepfqq
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phyllodytes gyrinaethes Peixoto, Caramaschi & Freire, 2003"
 ]
}

 The dataset includes 15 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009862-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17864/1947.001424
title: The Solar Stormwatch II CME classifications

description: This datafile is the raw output from the Solar Stormwatch II citizen science experiment that was developed and hosted on the Zooniverse platform. 

This experiment asked citizen scientists to identify the leading edges of Coronal Mass Ejections in data from the Heliospheric Imager instruments on NASA's STEREO Mission.
DOI: 10.5281/zenodo.18348506
title: On the Impact of AGENTS.md Files on the Efficiency of AI Coding Agents

description: AI coding agents such as Codex and Claude Code are increasingly used to autonomously contribute to software repositories. However, little is known about how repository-level configuration artifacts affect operational efficiency of the agents. In this paper, we study the impact of AGENTS.md files on the runtime and token consumption of AI coding agents operating on GitHub pull requests. We analyze 10 repositories and 124 pull requests, executing agents under two conditions: with and without an AGENTS.md file. We measure wall-clock execution time and token usage during agent execution. Our results show that the presence of AGENTS.md is associated with a lower median runtime ($\Delta 28.64$%) and reduced output token consumption ($\Delta 16.58$%), while maintaining a comparable task completion behavior. Based on these results, we discuss immediate implications for the configuration and deployment of AI coding agents in practice, and outline a broader research agenda on the role of repository-level instructions in shaping the behavior, efficiency, and integration of AI coding agents in software development workflows.
DOI: 10.5281/zenodo.18348507
title: On the Impact of AGENTS.md Files on the Efficiency of AI Coding Agents

description: AI coding agents such as Codex and Claude Code are increasingly used to autonomously contribute to software repositories. However, little is known about how repository-level configuration artifacts affect operational efficiency of the agents. In this paper, we study the impact of AGENTS.md files on the runtime and token consumption of AI coding agents operating on GitHub pull requests. We analyze 10 repositories and 124 pull requests, executing agents under two conditions: with and without an AGENTS.md file. We measure wall-clock execution time and token usage during agent execution. Our results show that the presence of AGENTS.md is associated with a lower median runtime ($\Delta 28.64$%) and reduced output token consumption ($\Delta 16.58$%), while maintaining a comparable task completion behavior. Based on these results, we discuss immediate implications for the configuration and deployment of AI coding agents in practice, and outline a broader research agenda on the role of repository-level instructions in shaping the behavior, efficiency, and integration of AI coding agents in software development workflows.
DOI: 10.15468/dl.vd9wwq
title: Occurrence Download

description: A dataset containing 916 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chrysactinia mexicana",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 916 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009166-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18359510
title: LINF_310040200

description: Phosphatidylethanolamine N-methyltransferase; Leishmania infantum (strain JPCM5)
DOI: 10.5281/zenodo.18359511
title: LINF_310040200

description: Phosphatidylethanolamine N-methyltransferase; Leishmania infantum (strain JPCM5)
DOI: 10.6084/m9.figshare.29876753
title: Changes in soil organic carbon in mixed tree species were driven by functional traits of the trunk

description: The data
DOI: 10.6084/m9.figshare.29876753.v1
title: Changes in soil organic carbon in mixed tree species were driven by functional traits of the trunk

description: The data
DOI: 10.15468/dl.dpqtnj
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cotoneaster affinis"
 ]
}

 The dataset includes 36 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009169-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18357750
title: SuperDARN data in netCDF format (2003-Dec)

description: 2003-Dec SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.6728192
title: SuperDARN data in netCDF format (2003-Dec)

description: 2003-Dec SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.15468/dl.zdgkqv
title: Occurrence Download

description: A dataset containing 131 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chrysactinium acaule",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 131 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009171-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18359512
title: TALABALARNING O'QUV PORTFOLINI (E-PORTFOLIO) BLOKCHEYN TEXNOLOGIYASI ASOSIDA YURITISH TIZIMINI JORIY ETISHNING DIDAKTIK VA TASHKILIY AFZALLIKLARI

description: Mazkur maqolada oliy ta’lim tizimida talabalarning o‘quv yutuqlari, kompetensiyalari va kasbiy rivojlanishini hujjatlashtirishda blokcheyn texnologiyasi asosida e-Portfolio yuritish tizimini joriy etishning didaktik va tashkiliy afzalliklari tahlil qilinadi. Tadqiqot doirasida an’anaviy va markazlashtirilgan elektron portfolio platformalarining cheklovlari, xususan ma’lumotlarning o‘zgartirilishi xavfi, tekshiriluvchanlikning pastligi va talaba avtonomiyasining cheklanishi asoslab beriladi. Blokcheyn texnologiyasining o‘zgarmaslik, markazsizlashtirish va shaffoflik kabi xususiyatlari e-Portfolio tizimining ishonchliligini ta’minlovchi asosiy omillar sifatida ko‘rib chiqiladi. Maqolada aqlli shartnomalar yordamida portfolio ma’lumotlarini tasdiqlash, kirish huquqlarini boshqarish va akademik halollikni mustahkamlash imkoniyatlari yoritiladi. Shuningdek, blokcheyn asosidagi e-Portfolio tizimining konseptual modeli taklif etilib, unda raqamli identifikatsiya, ma’lumotlarni gibrid saqlash va uchinchi tomonlar tomonidan mustaqil tekshirish mexanizmlari tavsiflanadi. Tadqiqot natijalari O‘zbekiston oliy ta’lim muassasalarida raqamli ta’lim infratuzilmasini rivojlantirish, talabalarning mehnat bozoridagi raqobatbardoshligini oshirish hamda akademik hujjatlarning global darajada tan olinishini ta’minlashga xizmat qiladi.
DOI: 10.5281/zenodo.18359513
title: TALABALARNING O'QUV PORTFOLINI (E-PORTFOLIO) BLOKCHEYN TEXNOLOGIYASI ASOSIDA YURITISH TIZIMINI JORIY ETISHNING DIDAKTIK VA TASHKILIY AFZALLIKLARI

description: Mazkur maqolada oliy ta’lim tizimida talabalarning o‘quv yutuqlari, kompetensiyalari va kasbiy rivojlanishini hujjatlashtirishda blokcheyn texnologiyasi asosida e-Portfolio yuritish tizimini joriy etishning didaktik va tashkiliy afzalliklari tahlil qilinadi. Tadqiqot doirasida an’anaviy va markazlashtirilgan elektron portfolio platformalarining cheklovlari, xususan ma’lumotlarning o‘zgartirilishi xavfi, tekshiriluvchanlikning pastligi va talaba avtonomiyasining cheklanishi asoslab beriladi. Blokcheyn texnologiyasining o‘zgarmaslik, markazsizlashtirish va shaffoflik kabi xususiyatlari e-Portfolio tizimining ishonchliligini ta’minlovchi asosiy omillar sifatida ko‘rib chiqiladi. Maqolada aqlli shartnomalar yordamida portfolio ma’lumotlarini tasdiqlash, kirish huquqlarini boshqarish va akademik halollikni mustahkamlash imkoniyatlari yoritiladi. Shuningdek, blokcheyn asosidagi e-Portfolio tizimining konseptual modeli taklif etilib, unda raqamli identifikatsiya, ma’lumotlarni gibrid saqlash va uchinchi tomonlar tomonidan mustaqil tekshirish mexanizmlari tavsiflanadi. Tadqiqot natijalari O‘zbekiston oliy ta’lim muassasalarida raqamli ta’lim infratuzilmasini rivojlantirish, talabalarning mehnat bozoridagi raqobatbardoshligini oshirish hamda akademik hujjatlarning global darajada tan olinishini ta’minlashga xizmat qiladi.
DOI: 10.15468/dl.p34yzu
title: Occurrence Download

description: A dataset containing 2216 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is one of (Nepal, India)",
 "OccurrenceStatus is Present",
 "TaxonKey is Pteropus"
 ]
}

 The dataset includes 2216 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009172-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fhxn76
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chrysanthemum spathulatum",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009173-260120142942310/datasets/export for details.
DOI: 10.6084/m9.figshare.25710927
title: Chromosome-level genome assembly and annotation of the skinnycheek lanternfish <i>Benthosema ptertum</i>

description: Lanternfish not only boast the most abundant biomass among marine fish species but also play a vital role in marine ecosystems. As one of the lanternfish species with the highest global catch, the skinnycheek lanternfish (<i>Benthosema pterotum</i>) is widely distributed in the Indo-Pacific region, playing a pivotal role in the marine biological pump. This study constructed the first chromosome-level genome of B. pterotum using a combination of short-read sequencing, PacBio, and Hi-C sequencing technologies. The genome size of B. pterotum is 1,272.35Mb, with acontig N50 of 810 Kb and a scaffold N50 of 54.49 Mb . More than 99.65% of contigs were successfully anchored onto 24 pseudo-chromosomes, and 95.7%of BUSCO genes were identified within the genome, demonstrating the high level of completeness in genome assembly. A total of 24,934 protein-coding genes were predicted, of which 99.02% were functionally annotated. The successful assembly of a high-quality genome for B. pterotum provides valuable genetic resources for better understanding its biological characteristics and potentially those of all lanternfish species.
DOI: 10.6084/m9.figshare.25710927.v2
title: Chromosome-level genome assembly and annotation of the skinnycheek lanternfish <i>Benthosema ptertum</i>

description: Lanternfish not only boast the most abundant biomass among marine fish species but also play a vital role in marine ecosystems. As one of the lanternfish species with the highest global catch, the skinnycheek lanternfish (<i>Benthosema pterotum</i>) is widely distributed in the Indo-Pacific region, playing a pivotal role in the marine biological pump. This study constructed the first chromosome-level genome of B. pterotum using a combination of short-read sequencing, PacBio, and Hi-C sequencing technologies. The genome size of B. pterotum is 1,272.35Mb, with acontig N50 of 810 Kb and a scaffold N50 of 54.49 Mb . More than 99.65% of contigs were successfully anchored onto 24 pseudo-chromosomes, and 95.7%of BUSCO genes were identified within the genome, demonstrating the high level of completeness in genome assembly. A total of 24,934 protein-coding genes were predicted, of which 99.02% were functionally annotated. The successful assembly of a high-quality genome for B. pterotum provides valuable genetic resources for better understanding its biological characteristics and potentially those of all lanternfish species.
DOI: 10.6084/m9.figshare.25710927.v3
title: Chromosome-level genome assembly and annotation of the skinnycheek lanternfish <i>Benthosema ptertum</i>

description: Lanternfish not only boast the most abundant biomass among marine fish species but also play a vital role in marine ecosystems. As one of the lanternfish species with the highest global catch, the skinnycheek lanternfish (<i>Benthosema pterotum</i>) is widely distributed in the Indo-Pacific region, playing a pivotal role in the marine biological pump. This study constructed the first chromosome-level genome of B. pterotum using a combination of short-read sequencing, PacBio, and Hi-C sequencing technologies. The genome size of B. pterotum is 1,272.35Mb, with acontig N50 of 810 Kb and a scaffold N50 of 54.49 Mb . More than 99.65% of contigs were successfully anchored onto 24 pseudo-chromosomes, and 95.7%of BUSCO genes were identified within the genome, demonstrating the high level of completeness in genome assembly. A total of 24,934 protein-coding genes were predicted, of which 99.02% were functionally annotated. The successful assembly of a high-quality genome for B. pterotum provides valuable genetic resources for better understanding its biological characteristics and potentially those of all lanternfish species.
DOI: 10.15468/dl.cuh6ny
title: Occurrence Download

description: A dataset containing 1045 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chrysanthemum zawadzkii",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 1045 records from 62 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009174-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mv3suq
title: Occurrence Download

description: A dataset containing 441 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Atelopus spumarius",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON((-180 -90, 180 -90, 180 90, -180 90, -180 -90))"
 ]
}

 The dataset includes 441 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009176-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wkjdxc
title: Occurrence Download

description: A dataset containing 557 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((34.87176 -1.45282,35.43903 -1.78682,35.52758 -1.65395,35.39214 -1.52028,35.331 -1.45086,35.25328 -1.43715,35.23956 -1.36403,35.17099 -1.35946,35.21797 -1.2743,35.06847 -1.15799,35.06584 -1.20406,35.01098 -1.2132,34.99727 -1.28633,34.87176 -1.45282))",
 "OccurrenceStatus is Present",
 "TaxonKey is Equus quagga",
 "Year is greater than or equal to 2010"
 ]
}

 The dataset includes 557 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009175-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.