cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18503353
title: MILLIY MA'NAVIYAT VA GLOBAL TENDENSIYALAR: ZIDDIYATLAR VA UYG'UNLIK

description: Ushbu maqolada milliy ma'naviyat va global tendensiyalar o‘rtasidagi murakkab munosabatlar falsafiy nuqtai nazardan tahlil qilingan. Globallashuv jarayoni milliy ma'naviy qadriyatlarni saqlash va rivojlantirishda muhim imkoniyatlar yaratishi bilan birga, bir qator ziddiyatli vaziyatlarni ham keltirib chiqaradi. Maqolada milliy ma'naviyatning shakllanishi va rivojlanishi uchun asos bo‘lgan tarixiy, madaniy va ijtimoiy omillar ko‘rib chiqilib, ularning global madaniyat bilan kesishuv nuqtalari aniqlangan. Global tendensiyalar ko‘pincha texnologik taraqqiyot, iqtisodiy integratsiya va madaniy xilma-xillikni ta'minlashni maqsad qilsa-da, ular milliy ma'naviy qadriyatlarning yo‘qolishi xavfini ham tug‘diradi. Maqolada globallashuvning ijobiy va salbiy ta'siri tahlil qilinib, milliy o‘zlikni saqlab qolish bilan birga global rivojlanishga moslashishning falsafiy asoslari o‘rganilgan. Shu nuqtai nazardan, milliy ma'naviyatni kuchaytirish uchun ta'lim, madaniyat, din va boshqa ijtimoiy institutlarning roli muhokama qilinadi.
DOI: 10.15468/dl.9kdmb9
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Corypha umbraculifera",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 23 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016035-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n8ktwv
title: Occurrence Download

description: A dataset containing 92779 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "Geometry POLYGON((73 34,97 34,97 44,73 44,73 34))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 1970-2019"
 ]
}

 The dataset includes 92779 records from 224 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016012-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6x8arh
title: Occurrence Download

description: A dataset containing 1907 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ipomoea pes-tigridis",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1907 records from 76 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016036-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8c6avr
title: Occurrence Download

description: A dataset containing 131194 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation)",
 "TaxonKey is Muntiacus reevesi"
 ]
}

 The dataset includes 131194 records from 90 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016011-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18503360
title: YOSH KURASHCHILARNI PEDAGOGIK KUZATUV ASOSIDA MASHG'ULOTLARDAGI YUKLAMALARINI BOSHQARISH USLUBIYATI (ERKIN KURASH MISOLIDA)

description: Mazkur ilmiy maqolada yosh erkin kurashchilarning mashg‘ulot jarayonida jismoniy va funksional yuklamalarni pedagogik kuzatuv asosida boshqarish uslubiyati yoritilgan. Tadqiqotda pedagogik kuzatuv sportchilarning individual jismoniy rivojlanish darajasi, texnik-taktik tayyorgarligi va mashg‘ulotlarga moslashuv xususiyatlarini aniqlashning samarali vositasi sifatida ko‘rib chiqiladi. Erkin kurash mashg‘ulotlari misolida yuklamalarni rejalashtirish va boshqarishda tizimli kuzatuvning ahamiyati ilmiy jihatdan asoslanadi. Olingan natijalar pedagogik kuzatuv asosida moslashtirilgan mashg‘ulot yuklamalari sportchilarning charchoq darajasini kamaytirish, sport natijalarini oshirish hamda jarohatlanish xavfini pasaytirishga xizmat qilishini ko‘rsatadi. Tadqiqot xulosalari murabbiylar faoliyatida yosh kurashchilarni tayyorlash jarayonini takomillashtirishda amaliy ahamiyatga ega.
DOI: 10.5281/zenodo.18503361
title: YOSH KURASHCHILARNI PEDAGOGIK KUZATUV ASOSIDA MASHG'ULOTLARDAGI YUKLAMALARINI BOSHQARISH USLUBIYATI (ERKIN KURASH MISOLIDA)

description: Mazkur ilmiy maqolada yosh erkin kurashchilarning mashg‘ulot jarayonida jismoniy va funksional yuklamalarni pedagogik kuzatuv asosida boshqarish uslubiyati yoritilgan. Tadqiqotda pedagogik kuzatuv sportchilarning individual jismoniy rivojlanish darajasi, texnik-taktik tayyorgarligi va mashg‘ulotlarga moslashuv xususiyatlarini aniqlashning samarali vositasi sifatida ko‘rib chiqiladi. Erkin kurash mashg‘ulotlari misolida yuklamalarni rejalashtirish va boshqarishda tizimli kuzatuvning ahamiyati ilmiy jihatdan asoslanadi. Olingan natijalar pedagogik kuzatuv asosida moslashtirilgan mashg‘ulot yuklamalari sportchilarning charchoq darajasini kamaytirish, sport natijalarini oshirish hamda jarohatlanish xavfini pasaytirishga xizmat qilishini ko‘rsatadi. Tadqiqot xulosalari murabbiylar faoliyatida yosh kurashchilarni tayyorlash jarayonini takomillashtirishda amaliy ahamiyatga ega.
DOI: 10.15468/dl.7dnmjq
title: Occurrence Download

description: A dataset containing 214 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cryosophila warscewiczii",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 214 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016037-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18503377
title: MECHANISMS OF ENSURING FINANCIAL STABILITY THROUGH FINANCIAL MARKETS AND THEIR IMPACT ON ECONOMIC GROWTH

description: Financial stability is a fundamental prerequisite for sustainable economic growth. Financial markets play a crucial role in mobilizing savings, allocating capital efficiently, managing risks, and facilitating investment activities. This article examines the mechanisms through which financial markets contribute to financial stability and analyzes their impact on economic growth. The study explores the interaction between banking systems, capital markets, and insurance markets, highlighting their role in maintaining macroeconomic stability. Using theoretical analysis and comparative assessment, the article identifies key channels through which well-functioning financial markets enhance economic resilience and long-term growth.
DOI: 10.5281/zenodo.18503378
title: MECHANISMS OF ENSURING FINANCIAL STABILITY THROUGH FINANCIAL MARKETS AND THEIR IMPACT ON ECONOMIC GROWTH

description: Financial stability is a fundamental prerequisite for sustainable economic growth. Financial markets play a crucial role in mobilizing savings, allocating capital efficiently, managing risks, and facilitating investment activities. This article examines the mechanisms through which financial markets contribute to financial stability and analyzes their impact on economic growth. The study explores the interaction between banking systems, capital markets, and insurance markets, highlighting their role in maintaining macroeconomic stability. Using theoretical analysis and comparative assessment, the article identifies key channels through which well-functioning financial markets enhance economic resilience and long-term growth.
DOI: 10.5281/zenodo.18503385
title: IQTISODIY KO'RSATKICHLARNI R STUDIO DASTURI ORQALI PROGNOZLASHDA STATISTIK MODELLARDAN FOYDALANISH

description: Maqolada iqtisodiy ko‘rsatkichlarni prognozlash jarayonida R Studio dasturi orqali statistik modellardan foydalanishning nazariy va amaliy jihatlari tahlil qilinadi. Tadqiqotda vaqt qatorlari tahlili, ARIMA va eksponensial silliqlashtirish kabi metodlar asosida YIM, inflyatsiya va valyuta kurslarini prognozlash ko‘rsatkichlari o‘rganiladi. R Studio dasturining qulay interfeysi, paketlari va vizualizatsiya imkoniyatlari yordamida iqtisodiy ma’lumotlarni tahlil qilish va qaror qabul qilish jarayoni optimallashtiriladi. Tadqiqot natijalari iqtisodiy rejalashtirish, resurslarni taqsimlash va strategik prognozlarni ishlab chiqishda amaliy ahamiyatga ega.
DOI: 10.15468/dl.94xwx2
title: Occurrence Download

description: A dataset containing 580 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Material sample"
 ]
 },
 {
 "or" : [
 "Continent is North America",
 "Continent is South America"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Helicopsyche von Siebold, 1856"
 ]
}

 The dataset includes 580 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0298696-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p56nnm
title: Occurrence Download

description: A dataset containing 108 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Callerebia hybrida"
 ]
}

 The dataset includes 108 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016039-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18503384
title: IQTISODIY KO'RSATKICHLARNI R STUDIO DASTURI ORQALI PROGNOZLASHDA STATISTIK MODELLARDAN FOYDALANISH

description: Maqolada iqtisodiy ko‘rsatkichlarni prognozlash jarayonida R Studio dasturi orqali statistik modellardan foydalanishning nazariy va amaliy jihatlari tahlil qilinadi. Tadqiqotda vaqt qatorlari tahlili, ARIMA va eksponensial silliqlashtirish kabi metodlar asosida YIM, inflyatsiya va valyuta kurslarini prognozlash ko‘rsatkichlari o‘rganiladi. R Studio dasturining qulay interfeysi, paketlari va vizualizatsiya imkoniyatlari yordamida iqtisodiy ma’lumotlarni tahlil qilish va qaror qabul qilish jarayoni optimallashtiriladi. Tadqiqot natijalari iqtisodiy rejalashtirish, resurslarni taqsimlash va strategik prognozlarni ishlab chiqishda amaliy ahamiyatga ega.
DOI: 10.15468/dl.najykg
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cyphophoenix alba",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 46 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016040-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hrth69
title: Occurrence Download

description: A dataset containing 172 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tanaecia jahnu"
 ]
}

 The dataset includes 172 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016041-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17031/6985a3796fad1
title: CPR Data request - BaskingShark - 06/02/2026

description: All CPR samples in the area: 50°N to 60°N, -12°E to -2°E. 
From January 1980 to December 2022. 
Taxa: Calanus finmarchicus, Calanus helgolandicus, Temora longicornis, Centropages Typicus, Pseudocalanus spp.
See guidelines in the archive.
DOI: 10.17877/tudodata-2026-ml9fmdt5
title: 3D finite element model for simulating the BTA deep hole drilling process - supplementary videos

description: Supplementary videos (18) for research paper titled: 
3D finite element model for simulating the BTA deep hole
drilling process.
description: The data set comprises a series of 18 videos captured from the simulation results computed by the model that is described in the paper. 
The filenames depict the process parameters of the BTA deep hole drilling process:

feed: h_xyz (xyz = value in mm)
cutting speed: vc_xyz (xyz = value in m/min) 

and the field variable that is showed by the contour plots:

PE: maximum principal strain
vMisesS: von Mises stress invariant
description: SIMULIA Abaqus, 2024
DOI: 10.15468/dl.puhawu
title: Occurrence Download

description: A dataset containing 287 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lethe mekara"
 ]
}

 The dataset includes 287 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016043-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f4s3b9
title: Occurrence Download

description: A dataset containing 45 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cyphophoenix elegans",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 45 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016044-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18503395
title: IQTISODIY KO'RSATKICHLARNI R STUDIO DASTURI ORQALI PROGNOZLASHDA STATISTIK MODELLARDAN FOYDALANISH [Data set]. В ILM FAN XABARNOMASI (Т. 12, Выпуск 01, сс. 79–81). Zenodo. https://doi.org/10.5281/zenodo.18503385

description: Maqolada iqtisodiy ko‘rsatkichlarni prognozlash jarayonida R Studio dasturi orqali statistik modellardan foydalanishning nazariy va amaliy jihatlari tahlil qilinadi. Tadqiqotda vaqt qatorlari tahlili, ARIMA va eksponensial silliqlashtirish kabi metodlar asosida YIM, inflyatsiya va valyuta kurslarini prognozlash ko‘rsatkichlari o‘rganiladi. R Studio dasturining qulay interfeysi, paketlari va vizualizatsiya imkoniyatlari yordamida iqtisodiy ma’lumotlarni tahlil qilish va qaror qabul qilish jarayoni optimallashtiriladi. Tadqiqot natijalari iqtisodiy rejalashtirish, resurslarni taqsimlash va strategik prognozlarni ishlab chiqishda amaliy ahamiyatga ega.
DOI: 10.5281/zenodo.18503396
title: IQTISODIY KO'RSATKICHLARNI R STUDIO DASTURI ORQALI PROGNOZLASHDA STATISTIK MODELLARDAN FOYDALANISH [Data set]. В ILM FAN XABARNOMASI (Т. 12, Выпуск 01, сс. 79–81). Zenodo. https://doi.org/10.5281/zenodo.18503385

description: Maqolada iqtisodiy ko‘rsatkichlarni prognozlash jarayonida R Studio dasturi orqali statistik modellardan foydalanishning nazariy va amaliy jihatlari tahlil qilinadi. Tadqiqotda vaqt qatorlari tahlili, ARIMA va eksponensial silliqlashtirish kabi metodlar asosida YIM, inflyatsiya va valyuta kurslarini prognozlash ko‘rsatkichlari o‘rganiladi. R Studio dasturining qulay interfeysi, paketlari va vizualizatsiya imkoniyatlari yordamida iqtisodiy ma’lumotlarni tahlil qilish va qaror qabul qilish jarayoni optimallashtiriladi. Tadqiqot natijalari iqtisodiy rejalashtirish, resurslarni taqsimlash va strategik prognozlarni ishlab chiqishda amaliy ahamiyatga ega.
DOI: 10.5281/zenodo.18503417
title: QO'QON XONLIGI VA QO'QON SHAXRINING ROSSIYA IMPERIYASI TOMONIDAN BOSIB OLINISHI

description: Qo‘qon xonligi O’rta Osiyoning muhim siyosiy va iqtisodiy markazlaridan biri bo‘lib, XVIII asrning boshlarida tashkil topgan va XIX asrning ikkinchi yarmida Rossiya imperiyasi tomonidan bosib olingunga qadar mavjud bo‘lgan. Ushbu maqola xonlikning tashkil topishi, rivojlanishi va Rossiya imperiyasi tomonidan istilo qilinishi jarayonini chuqur tahlil qiladi. Asosiy e’tibor xonlikning ichki siyosiy inqirozlari, iqtisodiy ahvoli, harbiy salohiyati va Rossiya imperiyasining ekspansionistik siyosati o‘rtasidagi o‘zaro ta’sirga qaratilgan. Maqolada Rossiya imperiyasining O’rta Osiyoni bosib olishining to‘rt bosqichi, shu jumladan Qo‘qon xonligini egallashdagi asosiy janglar (masalan, Toshkent va Chimkentni bosib olish), shuningdek, xalq qo‘zg‘olonlari (Po‘latxon qo‘zg‘oloni) va ularning oqibatlari batafsil ko‘rib chiqiladi. Tahlil amaliy (harbiy strategiyalar), tahliliy (siyosiy va iqtisodiy omillar), metodologik (tarixiy hujjatlar va manbalar asosida) va qiyosiy (Buxoro va Xiva xonliklari bilan taqqoslash) jihatlarga asoslangan. Natijada, Qo‘qon xonligining bosib olinishi O’rta Osiyoning kolonizatsiyasi va Rossiya imperiyasining kengayishi jarayonining muhim qismi ekanligi ta’kidlanadi.
DOI: 10.5281/zenodo.18503418
title: QO'QON XONLIGI VA QO'QON SHAXRINING ROSSIYA IMPERIYASI TOMONIDAN BOSIB OLINISHI

description: Qo‘qon xonligi O’rta Osiyoning muhim siyosiy va iqtisodiy markazlaridan biri bo‘lib, XVIII asrning boshlarida tashkil topgan va XIX asrning ikkinchi yarmida Rossiya imperiyasi tomonidan bosib olingunga qadar mavjud bo‘lgan. Ushbu maqola xonlikning tashkil topishi, rivojlanishi va Rossiya imperiyasi tomonidan istilo qilinishi jarayonini chuqur tahlil qiladi. Asosiy e’tibor xonlikning ichki siyosiy inqirozlari, iqtisodiy ahvoli, harbiy salohiyati va Rossiya imperiyasining ekspansionistik siyosati o‘rtasidagi o‘zaro ta’sirga qaratilgan. Maqolada Rossiya imperiyasining O’rta Osiyoni bosib olishining to‘rt bosqichi, shu jumladan Qo‘qon xonligini egallashdagi asosiy janglar (masalan, Toshkent va Chimkentni bosib olish), shuningdek, xalq qo‘zg‘olonlari (Po‘latxon qo‘zg‘oloni) va ularning oqibatlari batafsil ko‘rib chiqiladi. Tahlil amaliy (harbiy strategiyalar), tahliliy (siyosiy va iqtisodiy omillar), metodologik (tarixiy hujjatlar va manbalar asosida) va qiyosiy (Buxoro va Xiva xonliklari bilan taqqoslash) jihatlarga asoslangan. Natijada, Qo‘qon xonligining bosib olinishi O’rta Osiyoning kolonizatsiyasi va Rossiya imperiyasining kengayishi jarayonining muhim qismi ekanligi ta’kidlanadi.
DOI: 10.15468/dl.ug79bp
title: Occurrence Download

description: A dataset containing 45 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cyphophoenix fulcita",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 45 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016046-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17901937
title: A universal concept for melting in mantle upwellings

description: Data of the homonymous article in Nature (2026), published online on Feb. 4, 2026.
DOI: 10.5281/zenodo.17901938
title: A universal concept for melting in mantle upwellings

description: Data of the homonymous article in Nature (2026), published online on Feb. 4, 2026.
DOI: 10.5281/zenodo.18492488
title: Carpentras Reference Database: Solar Irradiance Data and Variability Indices

description: The reference database is composed by 277 hours of Global Horizontal Irradiance (GHI) measurements at minute resolution from the Carpentras Baseline Surface Radiation Network (BSRN) station during the years 2012 and 2013. Each hourly interval was manually classified into one of eight variability classes, ranging from clear-sky to overcast conditions. The dataset was developed to support the reproducibility of the variability classification method presented in the accompanying publication (https://doi.org/10.1016/j.renene.2026.125387).

The Carpentras reference database is made available as a NetCDF file with the following file structure groups:



Minute_data: contains 1-minute irradiance measurements (GHI, Direct Normal Irradiance - DNI, and Diffuse Horizontal Irradiance - DHI) and corresponding clear-sky estimates from the McClear model, together with minute timestamps and minute class labels.



Hourly_variability_indices: contains all variability indices computed for each hourly window, hourly classes labels, and timestamps. The labeling of the timestamps is at the end of the time interval (e.g. the timestamp at 10h00 considers data between 09:00 and 09:59 for the variability indices calculations).


Variability_indices_probability: provides the variability indices and its KDE-based probability density estimates (1024 grid points) in each class, enabling reproduction of the probabilistic classification step.


Satellite imagery from MSG/APOLLO_NG (Schroedter-Homscheidt et al., 2022) and MODIS (Platnick et al., 2014) was used to visually associate variability classes with typical cloud conditions. These images are provided as PDF files for each variability class (from Class 1 to Class 8). Further details about the interpretation of these images are found in the Supplementary Material of the accompanying paper.

The code repository with the classification algorithm will be linked here once publicly released.
DOI: 10.5281/zenodo.18492489
title: Carpentras Reference Database: Solar Irradiance Data and Variability Indices

description: The reference database is composed by 277 hours of Global Horizontal Irradiance (GHI) measurements at minute resolution from the Carpentras Baseline Surface Radiation Network (BSRN) station during the years 2012 and 2013. Each hourly interval was manually classified into one of eight variability classes, ranging from clear-sky to overcast conditions. The dataset was developed to support the reproducibility of the variability classification method presented in the accompanying publication (https://doi.org/10.1016/j.renene.2026.125387).

The Carpentras reference database is made available as a NetCDF file with the following file structure groups:



Minute_data: contains 1-minute irradiance measurements (GHI, Direct Normal Irradiance - DNI, and Diffuse Horizontal Irradiance - DHI) and corresponding clear-sky estimates from the McClear model, together with minute timestamps and minute class labels.



Hourly_variability_indices: contains all variability indices computed for each hourly window, hourly classes labels, and timestamps. The labeling of the timestamps is at the end of the time interval (e.g. the timestamp at 10h00 considers data between 09:00 and 09:59 for the variability indices calculations).


Variability_indices_probability: provides the variability indices and its KDE-based probability density estimates (1024 grid points) in each class, enabling reproduction of the probabilistic classification step.


Satellite imagery from MSG/APOLLO_NG (Schroedter-Homscheidt et al., 2022) and MODIS (Platnick et al., 2014) was used to visually associate variability classes with typical cloud conditions. These images are provided as PDF files for each variability class (from Class 1 to Class 8). Further details about the interpretation of these images are found in the Supplementary Material of the accompanying paper.

The code repository with the classification algorithm will be linked here once publicly released.
DOI: 10.15468/dl.gwadza
title: Occurrence Download

description: A dataset containing 3611 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Antilope cervicapra"
 ]
}

 The dataset includes 3611 records from 84 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016047-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.