cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.8hhpvr
title: Occurrence Download

description: A dataset containing 40608 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is United States of America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "PublishingOrg is 28eb1a3f-1c15-4a95-931a-4af90ecb574d",
 "TaxonKey is Euptoieta claudia"
 ]
}

 The dataset includes 40608 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004292-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jek88e
title: Occurrence Download

description: A dataset listing the 858 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Southern African Bird Atlas Project 2"
 ]
}

 The dataset's 858 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004285-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18446760
title: XALQARO MUNOSABATLAR

description: Mazkur ilmiy maqolada xalqaro munosabatlar tizimida O‘rta Osiyo mamlakatlarining, xususan O‘zbekistonning global miqyosdagi o‘rni va tashqi siyosiy strategiyalari tahlil qilinadi. Tadqiqotda mintaqaning geosiyosiy ahamiyati, transport-logistika salohiyati, energetik xavfsizlik masalalari hamda mintaqaviy integratsiya jarayonlari ilmiy asosda yoritiladi. Shuningdek, O‘rta Osiyo davlatlari va Turkiy Davlatlar Tashkiloti doirasidagi hamkorlikning yaqin kelajakdagi xalqaro munosabatlarga ta’siri baholanadi. Maqolada so‘nggi yillardagi ilmiy va siyosiy tahlillarga tayangan holda yangi integratsion tendensiyalar ochib beriladi.
DOI: 10.5281/zenodo.18446759
title: XALQARO MUNOSABATLAR

description: Mazkur ilmiy maqolada xalqaro munosabatlar tizimida O‘rta Osiyo mamlakatlarining, xususan O‘zbekistonning global miqyosdagi o‘rni va tashqi siyosiy strategiyalari tahlil qilinadi. Tadqiqotda mintaqaning geosiyosiy ahamiyati, transport-logistika salohiyati, energetik xavfsizlik masalalari hamda mintaqaviy integratsiya jarayonlari ilmiy asosda yoritiladi. Shuningdek, O‘rta Osiyo davlatlari va Turkiy Davlatlar Tashkiloti doirasidagi hamkorlikning yaqin kelajakdagi xalqaro munosabatlarga ta’siri baholanadi. Maqolada so‘nggi yillardagi ilmiy va siyosiy tahlillarga tayangan holda yangi integratsion tendensiyalar ochib beriladi.
DOI: 10.15468/dl.dzzsjb
title: Occurrence Download

description: A dataset containing 335 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tetrapterys ramiflora",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 335 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004298-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pedp82
title: Occurrence Download

description: A dataset containing 139053 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 PRINTF('%04d-%02d', "year", "month") yearmonth,
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, PRINTF('%04d-%02d', "year", "month"))) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, PRINTF('%04d-%02d', "year", "month"))) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, PRINTF('%04d-%02d', "year", "month"))) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, PRINTF('%04d-%02d', "year", "month"))) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, PRINTF('%04d-%02d', "year", "month"))) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, PRINTF('%04d-%02d', "year", "month"))) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.datasetkey = '906e6978-e292-4a8b-9c39-adf6bb0f3323'
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (occurrence.classificationdetails['d7dddbf4-2cf0-4f39-9b2a-bb099caae36c']['specieskey'] &lt;&gt; '' AND occurrence."year" IS NOT NULL AND occurrence."month" IS NOT NULL)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 PRINTF('%04d-%02d', "year", "month")

 The dataset's 139053 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004284-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.64tfb4
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is United States of America",
 "PublishingOrg is 28eb1a3f-1c15-4a95-931a-4af90ecb574d",
 "TaxonKey is Cyclargus thomasi"
 ]
}

 The dataset includes 27 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004300-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18446775
title: "VIZUAL MANBALARNI ILMIY TAHLIL QILISH METODOLOGIYASI"

description: Ushbu maqolada vizual manbalarni ilmiy tahlil qilish metodologiyasining nazariy va amaliy asoslari yoritiladi. Tadqiqot vizual materiallarni — tarixiy fotosuratlar, arxiv tasvirlari, me’moriy obyektlar, muzey ekspozitsiyalari va audiovizual hujjatlarni — madaniy va ijtimoiy ma’no tashuvchi manba sifatida talqin qilish zaruratidan kelib chiqadi. Maqolada semiotik analiz, diskurs-tahlil, kontent-tahlil hamda tarixiy-rekonstruktiv yondashuvlarning o‘zaro uyg‘un qo‘llanilishi asoslab beriladi. Ushbu metodlar yordamida vizual ma’lumotlarning ichki ramziy tuzilishi, tarixiy va ijtimoiy konteksti, g‘oyaviy yo‘nalishi hamda representatsiya mexanizmlari ochib berilishi ko‘rsatiladi.

Tadqiqotda vizual manbalarning ishonchliligi, sub’ektivlik darajasi va ideologik ta’siri alohida metodologik muammo sifatida ko‘rib chiqiladi. Foto va tasvirlarning “bevosita haqiqat” emas, balki tanlangan va talqin qilingan voqelik ekanligi ilmiy dalillar asosida asoslanadi. Shu nuqtai nazardan, Turkestanskiy albom materiallari misol tariqasida tahlil qilinib, undagi tasvirlar orqali XIX asr oxiridagi Turkiston makonining nafaqat etnografik, balki kolonial diskurs doirasida vizual konstruksiya qilinganligi ko‘rsatib beriladi.

Maqolada xalqaro tajriba ham tahlil qilinib, Yevropa va AQSh vizual antropologiya maktablarida qo‘llanilayotgan ilg‘or metodologik yondashuvlar bilan qiyosiy yoritiladi. Shuningdek, raqamli davr sharoitida vizual ma’lumotlar hajmining ortib borishi, sun’iy ravishda yaratilgan tasvirlarning ko‘payishi va madaniy merosning onlayn representatsiyasi metodologik yondashuvlarni yanada takomillashtirish zaruratini keltirib chiqarayotgani ta’kidlanadi.
DOI: 10.5281/zenodo.18446776
title: "VIZUAL MANBALARNI ILMIY TAHLIL QILISH METODOLOGIYASI"

description: Ushbu maqolada vizual manbalarni ilmiy tahlil qilish metodologiyasining nazariy va amaliy asoslari yoritiladi. Tadqiqot vizual materiallarni — tarixiy fotosuratlar, arxiv tasvirlari, me’moriy obyektlar, muzey ekspozitsiyalari va audiovizual hujjatlarni — madaniy va ijtimoiy ma’no tashuvchi manba sifatida talqin qilish zaruratidan kelib chiqadi. Maqolada semiotik analiz, diskurs-tahlil, kontent-tahlil hamda tarixiy-rekonstruktiv yondashuvlarning o‘zaro uyg‘un qo‘llanilishi asoslab beriladi. Ushbu metodlar yordamida vizual ma’lumotlarning ichki ramziy tuzilishi, tarixiy va ijtimoiy konteksti, g‘oyaviy yo‘nalishi hamda representatsiya mexanizmlari ochib berilishi ko‘rsatiladi.

Tadqiqotda vizual manbalarning ishonchliligi, sub’ektivlik darajasi va ideologik ta’siri alohida metodologik muammo sifatida ko‘rib chiqiladi. Foto va tasvirlarning “bevosita haqiqat” emas, balki tanlangan va talqin qilingan voqelik ekanligi ilmiy dalillar asosida asoslanadi. Shu nuqtai nazardan, Turkestanskiy albom materiallari misol tariqasida tahlil qilinib, undagi tasvirlar orqali XIX asr oxiridagi Turkiston makonining nafaqat etnografik, balki kolonial diskurs doirasida vizual konstruksiya qilinganligi ko‘rsatib beriladi.

Maqolada xalqaro tajriba ham tahlil qilinib, Yevropa va AQSh vizual antropologiya maktablarida qo‘llanilayotgan ilg‘or metodologik yondashuvlar bilan qiyosiy yoritiladi. Shuningdek, raqamli davr sharoitida vizual ma’lumotlar hajmining ortib borishi, sun’iy ravishda yaratilgan tasvirlarning ko‘payishi va madaniy merosning onlayn representatsiyasi metodologik yondashuvlarni yanada takomillashtirish zaruratini keltirib chiqarayotgani ta’kidlanadi.
DOI: 10.15468/dl.edjvyj
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "PublishingOrg is 28eb1a3f-1c15-4a95-931a-4af90ecb574d",
 "TaxonKey is Cyanophrys miserabilis"
 ]
}

 The dataset includes 22 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004302-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wpvdtx
title: Occurrence Download

description: A dataset containing 291 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Thryallis longifolia",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 291 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004304-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18446777
title: AXBOROT-KOMMUNIKATSIYA TEXNOLOGIYALARI ASOSIDA DIFFERENSIAL TENGLAMALARNI O'QITISH

description: Ushbu maqolada axborot-kommunikatsiya texnologiyalari (AKT) asosida differensial tenglamalarni o‘qitish masalalariga bag‘ishlangan bo‘lib, zamonaviy ta’lim jarayonida raqamli vositalarning o‘rni va ahamiyatini yoritib beradi. Differensial tenglamalar ko‘plab tabiiy va ijtimoiy jarayonlarni modellashtirishda muhim vosita hisoblanadi, ammo ularni o‘rganish talabalar uchun ko‘pincha murakkab kechadi. Shu sababli AKTdan foydalanish mavzuni yanada tushunarli, vizual va interaktiv shaklda o‘zlashtirish imkonini beradi. Grafik tasvirlar, animatsiyalar, kompyuter modellashtirish va sonli yechimlar orqali mavzuning nazariy va amaliy jihatlarini uyg‘un holda o‘rganish imkoniyatlari ko‘rsatib beriladi. Shuningdek, AKT asosida tashkil etilgan interaktiv darslar, muammoli o‘qitish va masofaviy ta’lim shakllarining afzalliklari tahlil qilinadi.
DOI: 10.5281/zenodo.18446778
title: AXBOROT-KOMMUNIKATSIYA TEXNOLOGIYALARI ASOSIDA DIFFERENSIAL TENGLAMALARNI O'QITISH

description: Ushbu maqolada axborot-kommunikatsiya texnologiyalari (AKT) asosida differensial tenglamalarni o‘qitish masalalariga bag‘ishlangan bo‘lib, zamonaviy ta’lim jarayonida raqamli vositalarning o‘rni va ahamiyatini yoritib beradi. Differensial tenglamalar ko‘plab tabiiy va ijtimoiy jarayonlarni modellashtirishda muhim vosita hisoblanadi, ammo ularni o‘rganish talabalar uchun ko‘pincha murakkab kechadi. Shu sababli AKTdan foydalanish mavzuni yanada tushunarli, vizual va interaktiv shaklda o‘zlashtirish imkonini beradi. Grafik tasvirlar, animatsiyalar, kompyuter modellashtirish va sonli yechimlar orqali mavzuning nazariy va amaliy jihatlarini uyg‘un holda o‘rganish imkoniyatlari ko‘rsatib beriladi. Shuningdek, AKT asosida tashkil etilgan interaktiv darslar, muammoli o‘qitish va masofaviy ta’lim shakllarining afzalliklari tahlil qilinadi.
DOI: 10.15468/dl.f88rpd
title: Occurrence Download

description: A dataset containing 12104 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is United States of America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "PublishingOrg is 28eb1a3f-1c15-4a95-931a-4af90ecb574d",
 "TaxonKey is Cyaniris neglecta"
 ]
}

 The dataset includes 12104 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004306-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ttp8bq
title: Occurrence Download

description: A dataset containing 184 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Triaspis hypericoides",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 184 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004309-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zb9qnz
title: Occurrence Download

description: A dataset containing 38388 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is United States of America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "PublishingOrg is 28eb1a3f-1c15-4a95-931a-4af90ecb574d",
 "TaxonKey is Cupido comyntas"
 ]
}

 The dataset includes 38388 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004308-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18446788
title: ОПРЕДЕЛЕНИЕ ПОНЯТИЙ: ОПЕРАТИВНО-РОЗЫСКНАЯ ДЕЯТЕЛЬНОСТЬ, ФАЛЬСИФИКАЦИЯ (ПОДДЕЛКА) РЕЗУЛЬТАТОВ, А ТАКЖЕ ИХ ПРИНЦИПЫ.

description: В данной научной статье рассматриваются правовые основы оперативно-розыскной деятельности в Республике Узбекистан, её место и значение в системе правоохранительных органов, а также условия признания результатов оперативно-розыскных мероприятий в качестве доказательств по уголовным делам. Особое внимание уделяется анализу понятия фальсификации (подделки) доказательств, включая результаты оперативно-розыскной деятельности, и раскрывается содержание уголовно-правовой ответственности за данные противоправные деяния. На основе норм уголовного и уголовно-процессуального законодательства, а также разъяснений Пленума Верховного суда Республики Узбекистан обосновывается необходимость строгого соблюдения принципов законности, приоритета прав человека и процессуальной добросовестности в деятельности правоохранительных органов. Сделан вывод о том, что предотвращение фальсификации результатов оперативно-розыскной деятельности является важнейшим элементом обеспечения справедливого правосудия и укрепления доверия общества к государственным институтам.
DOI: 10.5281/zenodo.18446789
title: ОПРЕДЕЛЕНИЕ ПОНЯТИЙ: ОПЕРАТИВНО-РОЗЫСКНАЯ ДЕЯТЕЛЬНОСТЬ, ФАЛЬСИФИКАЦИЯ (ПОДДЕЛКА) РЕЗУЛЬТАТОВ, А ТАКЖЕ ИХ ПРИНЦИПЫ.

description: В данной научной статье рассматриваются правовые основы оперативно-розыскной деятельности в Республике Узбекистан, её место и значение в системе правоохранительных органов, а также условия признания результатов оперативно-розыскных мероприятий в качестве доказательств по уголовным делам. Особое внимание уделяется анализу понятия фальсификации (подделки) доказательств, включая результаты оперативно-розыскной деятельности, и раскрывается содержание уголовно-правовой ответственности за данные противоправные деяния. На основе норм уголовного и уголовно-процессуального законодательства, а также разъяснений Пленума Верховного суда Республики Узбекистан обосновывается необходимость строгого соблюдения принципов законности, приоритета прав человека и процессуальной добросовестности в деятельности правоохранительных органов. Сделан вывод о том, что предотвращение фальсификации результатов оперативно-розыскной деятельности является важнейшим элементом обеспечения справедливого правосудия и укрепления доверия общества к государственным институтам.
DOI: 10.5281/zenodo.18446773
title: ORPHAN DISEASES: ETIOLOGY AND LABORATORY DIAGNOSIS
DOI: 10.5281/zenodo.18446774
title: ORPHAN DISEASES: ETIOLOGY AND LABORATORY DIAGNOSIS
DOI: 10.15468/dl.s2xzsp
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tristellateia africana",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 51 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004312-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9znr2u
title: Occurrence Download

description: A dataset containing 12226 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is United States of America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "PublishingOrg is 28eb1a3f-1c15-4a95-931a-4af90ecb574d",
 "TaxonKey is Chlosyne lacinia"
 ]
}

 The dataset includes 12226 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004313-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18446800
title: FARG'ONA JAMOAT SALOMATLIGI TIBBIYOT INSTITUTI TALABALARI ORASIDA PSIXOEMOTSIONAL STRESS DARAJASI VA ARTERIAL GIPERTENZIYA KO'RSATKICHLARI O'RTASIDAGI BOG'LIQLIK

description: Psixoemotsional stress yoshlar salomatligiga, ayniqsa yurak-qon tomir tizimiga salbiy ta’sir ko‘rsatuvchi muhim omillardan biridir. Talabalar orasida o‘quv jarayonining yuqori yuklamasi, imtihonlar va ijtimoiy omillar stress darajasining oshishiga olib keladi. Ushbu tadqiqotning maqsadi Farg‘ona jamoat salomatligi tibbiyot instituti talabalari orasida psixoemotsional stress darajasini baholash va uning arterial qon bosimi ko‘rsatkichlari bilan bog‘liqligini aniqlashdan iborat.

Tadqiqotda 180 nafar talaba ishtirok etdi. Stress darajasi standartlashtirilgan so‘rovnoma yordamida, arterial qon bosimi esa klinik talablar asosida o‘lchandi. Natijalar talabalar orasida stress darajasi yuqori ekanligini va arterial gipertenziya ko‘rsatkichlari bilan ishonchli bog‘liqlik mavjudligini ko‘rsatdi.
DOI: 10.5281/zenodo.18446801
title: FARG'ONA JAMOAT SALOMATLIGI TIBBIYOT INSTITUTI TALABALARI ORASIDA PSIXOEMOTSIONAL STRESS DARAJASI VA ARTERIAL GIPERTENZIYA KO'RSATKICHLARI O'RTASIDAGI BOG'LIQLIK

description: Psixoemotsional stress yoshlar salomatligiga, ayniqsa yurak-qon tomir tizimiga salbiy ta’sir ko‘rsatuvchi muhim omillardan biridir. Talabalar orasida o‘quv jarayonining yuqori yuklamasi, imtihonlar va ijtimoiy omillar stress darajasining oshishiga olib keladi. Ushbu tadqiqotning maqsadi Farg‘ona jamoat salomatligi tibbiyot instituti talabalari orasida psixoemotsional stress darajasini baholash va uning arterial qon bosimi ko‘rsatkichlari bilan bog‘liqligini aniqlashdan iborat.

Tadqiqotda 180 nafar talaba ishtirok etdi. Stress darajasi standartlashtirilgan so‘rovnoma yordamida, arterial qon bosimi esa klinik talablar asosida o‘lchandi. Natijalar talabalar orasida stress darajasi yuqori ekanligini va arterial gipertenziya ko‘rsatkichlari bilan ishonchli bog‘liqlik mavjudligini ko‘rsatdi.
DOI: 10.15468/dl.tta5w8
title: Occurrence Download

description: A dataset containing 777 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Verrucularina glaucophylla",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 777 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004316-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18445960
title: SuperDARN data in netCDF format (2009-Nov)

description: 2009-Nov 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.6575259
title: SuperDARN data in netCDF format (2009-Nov)

description: 2009-Nov 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.'