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

description: A dataset containing 19738 records in GBIF matching the query:
SELECT
 '12' AS fish_cell,
 GBIF_MGRSCode(1000, decimalLatitude, decimalLongitude, 0) AS cell, -- NO randomization
 COUNT(DISTINCT speciesKey) AS species_richness
 FROM occurrence
 WHERE hasCoordinate = TRUE
 AND speciesKey IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND decimalLatitude &gt;= -37.42857426825602
 AND decimalLatitude &lt;= -33.06103686093294
 AND decimalLongitude &gt;= -63.32053397346014
 AND decimalLongitude &lt;= -55.661165433674526
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND (coordinateUncertaintyInMeters &lt;= 100 OR coordinateUncertaintyInMeters IS NULL)
 GROUP BY fish_cell, cell

 The dataset's 19738 records were derived from 79 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002856-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7449xt
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Cuba",
 "TaxonKey is Mugil hospes"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002865-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18329125
title: An equipment to control the deformation of the load-bearing structure
DOI: 10.5281/zenodo.18329126
title: An equipment to control the deformation of the load-bearing structure
DOI: 10.15468/dl.8mdtnv
title: Occurrence Download

description: A dataset containing 431 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Micrurus browni"
 ]
}

 The dataset includes 431 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002866-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t7d5zj
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((116.916 1.734182, 116.845705 1.728613, 116.777142 1.712046, 116.712001 1.684888, 116.651885 1.647808, 116.598276 1.601719, 116.552493 1.547758, 116.515664 1.487253, 116.488695 1.421695, 116.47225 1.352697, 116.466731 1.28196, 116.472274 1.211225, 116.488742 1.142233, 116.515728 1.076683, 116.552568 1.016189, 116.598355 0.96224, 116.65196 0.916164, 116.712065 0.879095, 116.777189 0.851945, 116.84573 0.835383, 116.916 0.829817, 116.98627 0.835383, 117.054811 0.851945, 117.119935 0.879095, 117.18004 0.916164, 117.233645 0.96224, 117.279432 1.016189, 117.316272 1.076683, 117.343258 1.142233, 117.359726 1.211225, 117.365269 1.28196, 117.35975 1.352697, 117.343305 1.421695, 117.316336 1.487253, 117.279507 1.547758, 117.233724 1.601719, 117.180115 1.647808, 117.119999 1.684888, 117.054858 1.712046, 116.986295 1.728613, 116.916 1.734182))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002868-260120142942310/datasets/export for details.
DOI: 10.5281/zenodo.18329147
title: TEACHING RAILWAY ENGINEERING TERMINOLOGY IN ENGLISH AS A FACTOR IN PROFESSIONAL COMPETENCE DEVELOPMENT

description: In the context of globalization and technological advancement, the professional competence of railway engineers increasingly depends on their ability to operate within international technical and scientific environments. English has become the primary language of engineering documentation, international standards, and professional communication in the railway industry. This article examines the role of teaching railway engineering terminology in English as a key factor in the development of professional competence. Drawing on principles from English for Specific Purposes (ESP), engineering education, and applied linguistics, the study analyzes how terminological knowledge supports technical understanding, professional communication, and career readiness. Using a qualitative theoretical approach, the paper proposes a pedagogical framework for integrating English railway terminology into engineering education. The findings indicate that systematic instruction in professional terminology enhances students’ technical literacy, communicative competence, and overall professional maturity.
DOI: 10.5281/zenodo.18329146
title: TEACHING RAILWAY ENGINEERING TERMINOLOGY IN ENGLISH AS A FACTOR IN PROFESSIONAL COMPETENCE DEVELOPMENT

description: In the context of globalization and technological advancement, the professional competence of railway engineers increasingly depends on their ability to operate within international technical and scientific environments. English has become the primary language of engineering documentation, international standards, and professional communication in the railway industry. This article examines the role of teaching railway engineering terminology in English as a key factor in the development of professional competence. Drawing on principles from English for Specific Purposes (ESP), engineering education, and applied linguistics, the study analyzes how terminological knowledge supports technical understanding, professional communication, and career readiness. Using a qualitative theoretical approach, the paper proposes a pedagogical framework for integrating English railway terminology into engineering education. The findings indicate that systematic instruction in professional terminology enhances students’ technical literacy, communicative competence, and overall professional maturity.
DOI: 10.15468/dl.zn9bts
title: Occurrence Download

description: A dataset containing 270 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Vipera dinniki"
 ]
}

 The dataset includes 270 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002869-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15368405
title: The System for Classification of Low-Pressure Systems (SyCLoPS) Dataset (Based on ERA5)

description: This is the ERA5 System for Classification of Low-Pressure Systems (SyCLoPS) dataset version 6. Details of SyCLoPS algorithms are described in the paper titled The System for Classification of Low-Pressure Systems (SyCLoPS): An All-in-One Objective Framework for Large-scale Data sets published on J. Geophys. Res. Atm.: [https://doi.org/10.1029/2024JD041287]

Important: The most up-to-date SyCLoPS codes are now kept on GitHub: [https://github.com/yepkids/SyCLoPS] *Updates on GitHub: SyCLoPS can now run entirely in Python. See the GitHub README page for details.*

SyCLoPS user manual: [https://climate.ucdavis.edu/syclops.php]

Major updates and bug fixes in this version:



The classified and input LPS dataset is now extended from 1979-2022 to 1970-2024 (See Chapter 3 of the manual on how to load and use the output classified catalog).

Note: This release will have a slight difference in the number of nodes found and some tracks compared to previous releases for the overlapped period. This is partly due to the extension of the tracks at the beginning of 1979 and the end of 2022, and also to the use of the newly developed "--mergeequal" argument for ERA5 MSLP nodes (this is to avoid some rare cases where two nodes with exactly the same MSLP values are close to each other but are not merged; see the manual section 2.2 for more details). 


The following files can be obtained from version 4:



The labeled size blobs of each year: "size_blobs_1979_2022.tar.gz"

The labeled precipitation blobs of each year: "preci_blobs_1979_2022.tar.gz"


Please contact Yushan Han (yshhan@ucdavis.edu) if you have questions about the SyCLoPS framework. Please contact Paul Ullrich (paullrich@ucdavis.edu) if you have any questions about the TE software.

See below for a table of atmospheric variables required for SyCLoPS and a flowchart of the classification process. See the SyCLoPS manual for more details.
DOI: 10.6084/m9.figshare.31115791
title: Sequence Data (Ab1 files) of this study

description: Electropherograms generated in this study (Sanger sequencing)
DOI: 10.6084/m9.figshare.31115791.v1
title: Sequence Data (Ab1 files) of this study

description: Electropherograms generated in this study (Sanger sequencing)
DOI: 10.7266/ak8hhnyx
title: Gridded vertical sections of the horizontal velocity field from the CANEK mooring array in the Yucatan Channel, from 2012-07-10 to 2020-09-17
DOI: 10.15468/dl.acmz7h
title: Occurrence Download

description: A dataset containing 653 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((-78.73999999999999 1.918181, -78.81030199999999 1.912612, -78.878872 1.896045, -78.944019 1.868886, -79.004141 1.831805, -79.057754 1.785716, -79.10354 1.731754, -79.140371 1.671248, -79.16734099999999 1.605689, -79.183786 1.536692, -79.18930400000001 1.465955, -79.183758 1.39522, -79.167288 1.326228, -79.140298 1.260679, -79.103454 1.200186, -79.057664 1.146238, -79.00405499999999 1.100162, -78.94394699999999 1.063094, -78.87881899999999 1.035945, -78.81027400000001 1.019384, -78.73999999999999 1.013817, -78.669726 1.019384, -78.601181 1.035945, -78.536053 1.063094, -78.475945 1.100162, -78.422336 1.146238, -78.376546 1.200186, -78.339702 1.260679, -78.312712 1.326228, -78.29624200000001 1.39522, -78.290696 1.465955, -78.29621400000001 1.536692, -78.312659 1.605689, -78.339629 1.671248, -78.37645999999999 1.731754, -78.422246 1.785716, -78.475859 1.831805, -78.53598100000001 1.868886, -78.601128 1.896045, -78.669698 1.912612, -78.73999999999999 1.918181))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 653 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002870-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.scswdm
title: Occurrence Download

description: A dataset containing 97889 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Salix myrsinifolia"
 ]
}

 The dataset includes 97889 records from 479 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002798-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hfx6z7
title: Occurrence Download

description: A dataset containing 860 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is Asia",
 "Country is one of (Chinese Taipei, India, Philippines, Thailand)",
 "DatasetKey is iNaturalist Research-grade Observations",
 "License is CC-BY 4.0",
 "OccurrenceStatus is Present",
 "TaxonKey is Lissachatina fulica"
 ]
}

 The dataset includes 860 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002871-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25976/48p4-st77
title: CIMP 161_Cumulative Impacts Monitoring of Aquatic Ecosystem Health of Yellowknife Bay, Great Slave Lake, NWT

description: Yellowknife Bay on Great Slave Lake is a water body of cultural, subsistence and recreational importance for the Yellowknives Dene First Nation and residents of Yellowknife. The ecosystem health of Yellowknife Bay has been impacted by historical mining releases of arsenic and metals, and contaminant loading to the bay from the closed Giant Mine continues today. Arsenic and metals were dispersed to the bay through atmospheric deposition of ore roaster emissions, as well as effluent and tailings releases at Giant Mine. Over several decades, considerable study has been conducted on arsenic and metal pollution in near- and far-field receiving environments of Yellowknife Bay. This three-year project aimed to enhance previous studies and investigate data gaps in order to obtain a more complete picture of the current environmental conditions in the bay. Multiple environmental components including water, sediment and the aquatic food chain were sampled to measure current levels of arsenic and metals, and to better understand the processes controlling their environmental fate. Project findings have been presented in several reports outlined below, and additional reports are being prepared to summarize the datasets. This project generated significant new information that will inform the management, assessment and use of the Yellowknife Bay ecosystem.
DOI: 10.15468/dl.3xert7
title: Occurrence Download

description: A dataset containing 29528 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Echinocystis lobata)",
 "OccurrenceStatus is Present",
 "SpeciesKey is not null",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2026",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 },
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation)"
 ]
}

 The dataset includes 29528 records from 78 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002872-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18329169
title: ЕNGLISH PHRASEOLOGICAL UNITS IN PROPER NAMES

description: In this thesis, phrаsеоlоgicаl units rеplicаtе thе wеаlth оf а lаnguаgе shоwing culturаl pаrаdigms оf thе spеаkеrs оf а sеlеctеd lаnguаgе. Thеу rеplicаtе culturаl аrchеtуpеs оf аn еthnо-linguistic nеtwоrk аnd аssist tо mаkе spеcific thе pеculiаritiеs оf its wоrld nоtiоn. Phrаsеоlоgicаl dеvicеs аs thе spеcific gаdgеts оf lаnguаgе gоt hеrе intо thе fоcus оf linguist’s аttеntiоn. The structure of a phrasal unit with a proper name depend on the grammatical role that the proper name plays in the sentence.
DOI: 10.5281/zenodo.18329170
title: ЕNGLISH PHRASEOLOGICAL UNITS IN PROPER NAMES

description: In this thesis, phrаsеоlоgicаl units rеplicаtе thе wеаlth оf а lаnguаgе shоwing culturаl pаrаdigms оf thе spеаkеrs оf а sеlеctеd lаnguаgе. Thеу rеplicаtе culturаl аrchеtуpеs оf аn еthnо-linguistic nеtwоrk аnd аssist tо mаkе spеcific thе pеculiаritiеs оf its wоrld nоtiоn. Phrаsеоlоgicаl dеvicеs аs thе spеcific gаdgеts оf lаnguаgе gоt hеrе intо thе fоcus оf linguist’s аttеntiоn. The structure of a phrasal unit with a proper name depend on the grammatical role that the proper name plays in the sentence.
DOI: 10.15468/dl.2fscdk
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "GadmGid is CAN.11_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Elyleymus jamesensis"
 ]
}

 The dataset includes 23 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002873-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18324985
title: SuperDARN data in netCDF format (2002-Jun)

description: 2002-Jun 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.6787819
title: SuperDARN data in netCDF format (2002-Jun)

description: 2002-Jun 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.d6m4pc
title: Occurrence Download

description: A dataset containing 6083 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "OccurrenceStatus is Present",
 "TaxonKey is Lacertidae",
 "Year 2013-2015"
 ]
}

 The dataset includes 6083 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002874-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18328982
title: Tripodanthus flagellaris (Cham. & Schltdl.) Tiegh. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:56
DOI: 10.5281/zenodo.18328983
title: Tripodanthus flagellaris (Cham. & Schltdl.) Tiegh. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:56
DOI: 10.15468/dl.vcux28
title: Occurrence Download

description: A dataset containing 1995 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Material sample, Specimen)",
 "Geometry POLYGON((-83.11731 35.39383,-83.12377 35.4039,-83.1244 35.39888,-83.12788 35.396,-83.12626 35.39369,-83.12988 35.39341,-83.1282 35.39119,-83.13044 35.39176,-83.13328 35.38737,-83.13337 35.38345,-83.13181 35.38125,-83.13444 35.37862,-83.13295 35.37249,-83.12944 35.36921,-83.11638 35.36919,-83.10653 35.36508,-83.10144 35.36861,-83.09822 35.37522,-83.09063 35.37401,-83.088 35.37079,-83.08061 35.37112,-83.07501 35.40574,-83.0801 35.40766,-83.08371 35.40623,-83.0954 35.40948,-83.0964 35.40689,-83.10369 35.40412,-83.10255 35.40823,-83.10814 35.40263,-83.10923 35.39803,-83.11191 35.39978,-83.10855 35.39384,-83.11731 35.39383))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1995 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002875-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18329165
title: Initial concept of MechaTwing project research
DOI: 10.5281/zenodo.18329166
title: Initial concept of MechaTwing project research
DOI: 10.15468/dl.at6ncg
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cyperus niveus",
 "Year 1970-2000"
 ]
}

 The dataset includes 39 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002877-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18329206
title: KIMYOVIY MODDALAR BILAN ISHLOVCHI XODIMLARDA ALLERGIK VA DERMATOLOGIK KASALLIKLARNING TARQALISHINI GIGIYENIK BAHOLASH

description: Kimyoviy moddalar bilan ishlash mehnat jarayonida xodimlar salomatligi uchun muhim xavf omillaridan biri hisoblanadi. Ushbu tezisda Farg‘ona shahri va unga tutash hududlarda kimyoviy moddalar bilan ishlovchi xodimlar orasida allergik va dermatologik kasalliklarning tarqalishi hamda ularning ishlab chiqarish muhitidagi kimyoviy omillar bilan bog‘liqligi tahlil qilindi. Tadqiqot natijalari zararli kimyoviy moddalar ta’sirida allergik va teri kasalliklari rivojlanish xavfi sezilarli darajada ortishini ko‘rsatdi.
DOI: 10.5281/zenodo.18329210
title: Tillandsia myosura Griseb. ex Baker. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:55
DOI: 10.5281/zenodo.18329211
title: Tillandsia myosura Griseb. ex Baker. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:55