cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0160610.10fu
title: SH0160610.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0160611.10fu
title: SH0160611.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0160612.10fu
title: SH0160612.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0160613.10fu
title: SH0160613.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0160614.10fu
title: SH0160614.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0160615.10fu
title: SH0160615.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0160616.10fu
title: SH0160616.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0160617.10fu
title: SH0160617.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0160618.10fu
title: SH0160618.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.5281/zenodo.18512610
title: O'QUVCHILARNI KASBIY FAOLIYATGA TAYYORLASHNING PEDAGOGIK SHART SHAROITLARI

description: Ushbu maqolada o‘quvchilarni kasbiy faoliyatga tayyorlash jarayonining pedagogik shart-sharoitlari tahlil qilinadi hamda ularni musiqa fani orqali amalga oshirish imkoniyatlari yoritib beriladi. Tadqiqotda ta’lim mazmunining kasbiy yo‘naltirilganligi, o‘quvchilarning individual qobiliyatlarini aniqlash va rivojlantirish, amaliy musiqiy faoliyatni tashkil etish, shuningdek, pedagogning kasbiy yo‘naltiruvchi rolining ahamiyati asoslab berilgan.
DOI: 10.5281/zenodo.18512611
title: O'QUVCHILARNI KASBIY FAOLIYATGA TAYYORLASHNING PEDAGOGIK SHART SHAROITLARI

description: Ushbu maqolada o‘quvchilarni kasbiy faoliyatga tayyorlash jarayonining pedagogik shart-sharoitlari tahlil qilinadi hamda ularni musiqa fani orqali amalga oshirish imkoniyatlari yoritib beriladi. Tadqiqotda ta’lim mazmunining kasbiy yo‘naltirilganligi, o‘quvchilarning individual qobiliyatlarini aniqlash va rivojlantirish, amaliy musiqiy faoliyatni tashkil etish, shuningdek, pedagogning kasbiy yo‘naltiruvchi rolining ahamiyati asoslab berilgan.
DOI: 10.15468/dl.wj3rau
title: Occurrence Download

description: A dataset containing 931 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Becquerelia cymosa",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 931 records from 90 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017726-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18512292
title: SuperDARN data in netCDF format (2016-Feb)

description: 2016-Feb 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.6392336
title: SuperDARN data in netCDF format (2016-Feb)

description: 2016-Feb 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.17043997
title: Hypersoft X-ray Sources: A New Class of Luminous Cosmic Emitters

description: This dataset supports the manuscript titled “Hypersoft X-ray Sources: A New Class of Luminous Cosmic Emitters”, submitted to a Journal on September 4, 2025.

To reproduce the figures and access the source catalogs used in the study:





Download and extract all ZIP folders into a single directory, along with the Jupyter Notebook "hypersoft_master.ipynb."




Within the same directory, create a new folder named source_analysis. Move all galaxy-specific folders (e.g., M31, NGC3379, etc.) into this folder.




Ensure that the CIAO (Chandra Interactive Analysis of Observations) software package is installed on your system. We recommend launching the Jupyter Notebook directly from within a CIAO environment.




Follow the embedded instructions in the notebook to execute the full analysis workflow.



A master catalog, hss_master_cat.fits, is provided. It includes:





HSS coordinates




Source counts




X-ray fluxes and luminosities




Bolometric luminosities




Identified counterparts




Phase transitions



The metadata file embeded in the catalog (also printed in the end of the notebook) describes each column in detail. Running the complete notebook will also generate the master catalog in both FITS and CSV formats. 

Follow the embedded instructions in the notebook. The "plots" folder contains sample outputs for reference—these will be overwritten when you run the notebook. For any questions or technical issues, please contact the corresponding author.
DOI: 10.5281/zenodo.15586629
title: Hypersoft X-ray Sources: A New Class of Luminous Cosmic Emitters

description: This dataset supports the manuscript titled “Hypersoft X-ray Sources: A New Class of Luminous Cosmic Emitters”, submitted to a Journal on September 4, 2025.

To reproduce the figures and access the source catalogs used in the study:





Download and extract all ZIP folders into a single directory, along with the Jupyter Notebook "hypersoft_master.ipynb."




Within the same directory, create a new folder named source_analysis. Move all galaxy-specific folders (e.g., M31, NGC3379, etc.) into this folder.




Ensure that the CIAO (Chandra Interactive Analysis of Observations) software package is installed on your system. We recommend launching the Jupyter Notebook directly from within a CIAO environment.




Follow the embedded instructions in the notebook to execute the full analysis workflow.



A master catalog, ed_table1.fits, is provided. It includes:





HSS coordinates




Source and bacnground counts (with 1sigma uncertainties)




X-ray fluxes and luminosities




Bolometric luminosities




Identified counterparts




Phase transitions



The metadata file embeded in the catalog (also printed in the end of the notebook) describes each column in detail. Running the complete notebook will also generate the master catalog in both FITS and CSV formats. 

Follow the embedded instructions in the notebook. The "plots" folder contains sample outputs for reference—these will be overwritten when you run the notebook. For any questions or technical issues, please contact the corresponding author.
DOI: 10.5281/zenodo.15586630
title: Hypersoft X-ray Sources: A New Class of Luminous Cosmic Emitters

description: This dataset supports the manuscript titled "Hypersoft X-ray Sources: A New Class of Luminous Cosmic Emitters," submitted to a Journal on May 25, 2025. To reproduce the figures and access the source catalogs used in the study, download and extract all ZIP folders into a single directory along with the Jupyter Notebook "hypersoft_master.ipynb." Then, create a folder named "source_analysis" within the same directory and move all galaxy-specific folders (e.g., M31, NGC3379, etc.) into it. You will need the CIAO software package (Chandra Interactive Analysis of Observations) installed on your computer to properly run the notebook; we recommend launching the Jupyter Notebook directly from within a CIAO environment. Follow the embedded instructions in the notebook. The "plots" folder contains sample outputs for reference—these will be overwritten when you run the notebook. For any questions or technical issues, please contact the corresponding author.
DOI: 10.15468/dl.ashmct
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bisboeckelera vinacea",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 8 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017728-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bb4duy
title: Occurrence Download

description: A dataset containing 809 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Specimen, Living Specimen, Occurrence evidence)",
 "Geometry POLYGON((-122.81988 49.27357,-122.84604 49.19886,-122.75559 49.15256,-122.58887 49.13759,-122.52349 49.21097,-122.43522 49.30982,-122.48535 49.35314,-122.62156 49.395,-122.75123 49.3879,-122.81988 49.27357))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Thuja plicata"
 ]
}

 The dataset includes 809 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017729-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13321508
title: Conabio: Conabio (100) DwCA

description: ####--- __EOL DwCA resource last updated: Mar 06, 2024 07:08 PM__ ---####
This is where EOL hosts source datasets (archives, dumps, etc.) from EOL content partners (especially partners without a web presence of their own).

This organization will also include the content partner utility files EOL connectors use to generate a particular content partner__s resource EOL archive or XML.

For questions or suggestions please visit the EOL Services forum at http://discuss.eol.org/c/eol-services
DOI: 10.5281/zenodo.18512619
title: Conabio: Conabio (100) DwCA
DOI: 10.5281/zenodo.18512543
title: Soil huge phages amplify antibiotic resistomes under climate warming
DOI: 10.5281/zenodo.18512542
title: Soil huge phages amplify antibiotic resistomes under climate warming
DOI: 10.15468/dl.8xszf5
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bolboschoenus grandispicus",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017730-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/ze3e-es96
title: "Student online admission system project report"

description: "The introduction of computer into information technology has massively improvedthe information need of organization, the success of this machine is dependent on theknowledge base. Therefore, one can be prompted to ask aloud \u201cwhat is a computer?\u201d(Funk .M. 1980) define a computer as an electronic device that can perform automaticallyat a high speed of a sequence of logical operationsaccording to instructions giving to itinform of pre-arranged program. (Anigbogu G.2000) define a computer as an electronicdevice capable of accepting data and instruction, process the data base on the instructionto generate result or output in such a manner that is yet to be equaled by any other knownmachine to mankind.Also, (Chimezie.F.1990) define computer by saying that computersare looked upon as obedient servants who are ever ready to free man from tediousprocedures and produce result as compared with human computing time."
DOI: 10.57967/hf/7735
title: oc-v1
DOI: 10.5281/zenodo.18512613
title: QALMOQQIR KONINING OKSIDLANGAN MIS RUDALARIDAN OLTIN AJRATIB OLISH BO'YICHA TADQIQOT NATIJALARI

description: На сегодняшний день большая часть меди в мире добывается путем переработки сульфидных медных руд. Ведутся научные исследования по разработке новых технологических способов и схем обогащения окисленных и смешанных медных руд гравитационным, флотационным и гидрометаллургическим методами, а также усовершенствуются существующие технологии. На данном этапе исследований после извлечения меди из окисленных медных руд месторождения Кальмакыр рассматривается извлечение золота. Показано, что агитационное цианирование имеет большее преимущество, чем кучное цианирование.
DOI: 10.5281/zenodo.18512614
title: QALMOQQIR KONINING OKSIDLANGAN MIS RUDALARIDAN OLTIN AJRATIB OLISH BO'YICHA TADQIQOT NATIJALARI

description: На сегодняшний день большая часть меди в мире добывается путем переработки сульфидных медных руд. Ведутся научные исследования по разработке новых технологических способов и схем обогащения окисленных и смешанных медных руд гравитационным, флотационным и гидрометаллургическим методами, а также усовершенствуются существующие технологии. На данном этапе исследований после извлечения меди из окисленных медных руд месторождения Кальмакыр рассматривается извлечение золота. Показано, что агитационное цианирование имеет большее преимущество, чем кучное цианирование.