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

description: A dataset containing 249294 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "Country is one of (Brunei Darussalam, Cambodia, Indonesia, Lao People’s Democratic Republic, Malaysia, Myanmar, Philippines, Singapore, Thailand, Viet Nam, Timor-Leste)",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Amphibia [GBIF Backbone Taxonomy])"
 ]
}

 The dataset includes 249294 records from 234 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010889-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/m3x9uu
title: Estonian University of Life Sciences Institute of Agricultural and Environmental Sciences Vascular Plant Herbarium

description: The Herbarium was founded in 1947, when the newly established Institute of Biology (later Institute of Zoology and Botany) was entrusted with the Estonian Naturalists’ Society’s collection of 15 000 herbarium sheets. This consisted mainly of the Society’s exchange herbarium, which was collected between 1920-1940, and of the Baltic-German Botanical Herbarium, collected mainly in the 19th century.

The Herbarium’s main focus is to collect and preserve specimens from taxa growing in Estonia. Besides providing data for answering taxonomic questions, the large quantity of material within the Herbarium makes it possible to investigate species’ patterns of variability and distribution. The Herbarium preserves genetic material from different time periods.
DOI: 10.5281/zenodo.18477784
title: MAKTABGACHA YOSHDAGI BOLALARNING INGLIZ TILIDA OG'ZAKI NUTQINI RIVOJLANTIRISHNING PSIXOLOGIK-PEDAGOGIK XUSUSIYATLARI

description: Ushbu ilmiy maqolada maktabgacha yoshdagi bolalarning ingliz tilida og‘zaki nutqini rivojlantirish jarayonining psixologik va pedagogik xususiyatlari tahlil qilinadi. Tadqiqotda maktabgacha yosh davrining o‘ziga xos psixologik jihatlari, xususan, bolalarning bilish jarayonlari, emotsional holati, motivatsiyasi hamda nutq faoliyatining shakllanishi ingliz tilini o‘rganish jarayoniga qanday ta’sir ko‘rsatishi yoritib beriladi. Shuningdek, og‘zaki nutqni rivojlantirishda pedagogik yondashuvlar, o‘yin texnologiyalari, vizual vositalar va kommunikativ metodlarning ahamiyati asoslab beriladi. Maqolada chet tilini o‘rganishda bolaning yosh va individual xususiyatlarini hisobga olish, qulay psixologik muhit yaratish hamda til o‘rganishga ijobiy munosabatni shakllantirish muhim omil sifatida ko‘rib chiqiladi. Tadqiqot natijalari maktabgacha ta’lim muassasalarida ingliz tilini o‘qitish jarayonini samarali tashkil etish, bolalarda og‘zaki nutqni rivojlantirishga qaratilgan metodik tavsiyalar ishlab chiqishda foydali bo‘lishi mumkin.
DOI: 10.5281/zenodo.18477785
title: MAKTABGACHA YOSHDAGI BOLALARNING INGLIZ TILIDA OG'ZAKI NUTQINI RIVOJLANTIRISHNING PSIXOLOGIK-PEDAGOGIK XUSUSIYATLARI

description: Ushbu ilmiy maqolada maktabgacha yoshdagi bolalarning ingliz tilida og‘zaki nutqini rivojlantirish jarayonining psixologik va pedagogik xususiyatlari tahlil qilinadi. Tadqiqotda maktabgacha yosh davrining o‘ziga xos psixologik jihatlari, xususan, bolalarning bilish jarayonlari, emotsional holati, motivatsiyasi hamda nutq faoliyatining shakllanishi ingliz tilini o‘rganish jarayoniga qanday ta’sir ko‘rsatishi yoritib beriladi. Shuningdek, og‘zaki nutqni rivojlantirishda pedagogik yondashuvlar, o‘yin texnologiyalari, vizual vositalar va kommunikativ metodlarning ahamiyati asoslab beriladi. Maqolada chet tilini o‘rganishda bolaning yosh va individual xususiyatlarini hisobga olish, qulay psixologik muhit yaratish hamda til o‘rganishga ijobiy munosabatni shakllantirish muhim omil sifatida ko‘rib chiqiladi. Tadqiqot natijalari maktabgacha ta’lim muassasalarida ingliz tilini o‘qitish jarayonini samarali tashkil etish, bolalarda og‘zaki nutqni rivojlantirishga qaratilgan metodik tavsiyalar ishlab chiqishda foydali bo‘lishi mumkin.
DOI: 10.15468/dl.6hfrfz
title: Occurrence Download

description: A dataset containing 959 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Paronychia kapela",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 959 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010917-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f4hagr
title: Occurrence Download

description: A dataset containing 709 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tuta absoluta",
 "BasisOfRecord is Human Observation",
 "Year is greater than or equal to 1990",
 "Year is less than or equal to 2026"
 ]
}

 The dataset includes 709 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010918-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18477415
title: SuperDARN data in netCDF format (2012-Jan)

description: 2012-Jan 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.6522439
title: SuperDARN data in netCDF format (2012-Jan)

description: 2012-Jan 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.18477811
title: MAHALLIY SANOAT KORXONALARNING EKSPORT SALOHIYATINI OSHIRISH STRATEGIYALARI

description: Ushbu ilmiy maqolada korxonalar va mamlakatning eksport salohiyatini oshirishda marketing strategiyalarini ishlab chiqishning nazariy-uslubiy asoslari va o'ziga xos xususiyatlari tahlil qilinadi. Global raqobat kuchaygan sharoitda eksport samaradorligini ta'minlashda xalqaro bozorlarni segmentlash, maqsadli bozorlarni tanlash, eksportbop mahsulotlarni differensiatsiyalash, brending va elektron tijoratdan foydalanish kabi marketing yondashuvlarining ahamiyati yoritilgan. Shuningdek, eksport salohiyatini oshirishga qaratilgan marketing strategiyasini shakllantirishga ta'sir qiluvchi ijtimoiy, iqtisodiy va huquqiy omillarga e'tibor qaratilib, strategiyani muvaffaqiyatli amalga oshirish bo'yicha takliflar ilgari surilgan.
DOI: 10.5281/zenodo.18477812
title: MAHALLIY SANOAT KORXONALARNING EKSPORT SALOHIYATINI OSHIRISH STRATEGIYALARI

description: Ushbu ilmiy maqolada korxonalar va mamlakatning eksport salohiyatini oshirishda marketing strategiyalarini ishlab chiqishning nazariy-uslubiy asoslari va o'ziga xos xususiyatlari tahlil qilinadi. Global raqobat kuchaygan sharoitda eksport samaradorligini ta'minlashda xalqaro bozorlarni segmentlash, maqsadli bozorlarni tanlash, eksportbop mahsulotlarni differensiatsiyalash, brending va elektron tijoratdan foydalanish kabi marketing yondashuvlarining ahamiyati yoritilgan. Shuningdek, eksport salohiyatini oshirishga qaratilgan marketing strategiyasini shakllantirishga ta'sir qiluvchi ijtimoiy, iqtisodiy va huquqiy omillarga e'tibor qaratilib, strategiyani muvaffaqiyatli amalga oshirish bo'yicha takliflar ilgari surilgan.
DOI: 10.15468/dl.ngytpk
title: Occurrence Download

description: A dataset containing 385 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Scirpophaga incertulas",
 "BasisOfRecord is Human Observation",
 "Year is greater than or equal to 1990",
 "Year is less than or equal to 2026"
 ]
}

 The dataset includes 385 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010921-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vqzevz
title: Occurrence Download

description: A dataset containing 2228 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Petrorhagia dubia",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 2228 records from 144 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010922-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18477829
title: Ipseity Daily Data

description: At what rate do individuals say they are X?

Begining on 2025-07-08, I surveyed a small random sample of American adults on a daily cadence.  They responded to many items of the form: Does <signifier> describe you today?

The file ipseity-daily-aggregated.csv in this repository contains the aggregated results through 2025-07-28.  The columns are as follows:



signifier - a word, phrase or emoji

yes_count - the number of respondents who answered yes (aggregated all-time).

no_count - the number of respondents who answered no (aggregated all-time).

prevalence_per_10k - an estimate of the prevalence per 10,000.  If we were to survey 10,000 American adults, how many would we expect to respond yes to this signifier?  The number is calculated as yes_count / (yes_count + no_count) * 10,000.

earliest_obs_date - this date represents the first time this particular signifier was ever displayed to a respondent.  Signifiers are chosen with stochasticity from a long list; new signifiers are sometimes added, old signifiers are sometimes deleted, and a signifier may be moved higher or lower in priority for sampling.

latest_obs_date - the date closest to the present date on which signifier was most recently presented to a respondent.


Version created on 2026-02-04 — cumulative data.
DOI: 10.15468/dl.7692ae
title: Occurrence Download

description: A dataset containing 53364599 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "Month is one of (December, November, October, September, August, July)",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 2024-2024"
 ]
}

 The dataset includes 53364599 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010896-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18477827
title: ЦВЕТООБОЗНАЧЕНИЯ КАК СРЕДСТВО ВЫРАЖЕНИЯ КУЛЬТУРНЫХ СМЫСЛОВ В РУССКОМ ЯЗЫКЕ

description: Цвет всегда играл важную роль в человеческом общении, выступая не только как перцептивное явление, но и как носитель культурных смыслов. В русском языке цветовые обозначения функционируют как мощные семиотические средства, кодирующие социальные, исторические и эмоциональные значения. В данной статье исследуются способы, с помощью которых цветовые термины в русском языке отражают культурные установки, общественные нормы и психологические ассоциации. Анализ включает идиоматические выражения, литературные примеры и современное употребление, демонстрируя взаимодействие языка, восприятия и культурной идентичности. Исследование подчеркивает многофункциональную природу цвета в русском языке, охватывающую метафорические, символические и эмоциональные измерения.
DOI: 10.5281/zenodo.18477828
title: ЦВЕТООБОЗНАЧЕНИЯ КАК СРЕДСТВО ВЫРАЖЕНИЯ КУЛЬТУРНЫХ СМЫСЛОВ В РУССКОМ ЯЗЫКЕ

description: Цвет всегда играл важную роль в человеческом общении, выступая не только как перцептивное явление, но и как носитель культурных смыслов. В русском языке цветовые обозначения функционируют как мощные семиотические средства, кодирующие социальные, исторические и эмоциональные значения. В данной статье исследуются способы, с помощью которых цветовые термины в русском языке отражают культурные установки, общественные нормы и психологические ассоциации. Анализ включает идиоматические выражения, литературные примеры и современное употребление, демонстрируя взаимодействие языка, восприятия и культурной идентичности. Исследование подчеркивает многофункциональную природу цвета в русском языке, охватывающую метафорические, символические и эмоциональные измерения.
DOI: 10.15468/dl.b8uhyc
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Leguminivora glycinivorella",
 "BasisOfRecord is Human Observation",
 "Year is greater than or equal to 1990",
 "Year is less than or equal to 2026"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010925-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18477816
title: INGLIZ VA O'ZBEK TILLARIDA HARAKAT TARZI SHAKLLARINING LEKSIK-SEMANTIK XUSUSIYATLARI

description: Ushbu maqolada ingliz va o‘zbek tillaridagi harakat tarzi shakllarining leksik-semantik xususiyatlari haqida so‘z yuritiladi. Harakat tarzi shakllarining tildagi ifodasini o‘rganish muhim masalalardan biri hisoblanadi, chunki har bir til sohiblarining harakat, yo‘nalish, harakatning amalga oshirilish tarzi, shundan kelib chiqqan holda uning davomiyligi, takroriyligiga nisbatan  ifoda shakllari o‘ziga xosdir. Har ikki tildan olinuvchi misollar yordamida ularning chog‘ishtirma linguistik tahlili amalga oshiriladi.
DOI: 10.5281/zenodo.18477817
title: INGLIZ VA O'ZBEK TILLARIDA HARAKAT TARZI SHAKLLARINING LEKSIK-SEMANTIK XUSUSIYATLARI

description: Ushbu maqolada ingliz va o‘zbek tillaridagi harakat tarzi shakllarining leksik-semantik xususiyatlari haqida so‘z yuritiladi. Harakat tarzi shakllarining tildagi ifodasini o‘rganish muhim masalalardan biri hisoblanadi, chunki har bir til sohiblarining harakat, yo‘nalish, harakatning amalga oshirilish tarzi, shundan kelib chiqqan holda uning davomiyligi, takroriyligiga nisbatan  ifoda shakllari o‘ziga xosdir. Har ikki tildan olinuvchi misollar yordamida ularning chog‘ishtirma linguistik tahlili amalga oshiriladi.
DOI: 10.5281/zenodo.18465131
title: Database sequences for phage genome curation
DOI: 10.5281/zenodo.18465132
title: Database sequences for phage genome curation
DOI: 10.15468/dl.mdvxpf
title: Occurrence Download

description: A dataset containing 88 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Polycarpaea repens",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 88 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010926-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17272222
title: Supplementary Materials of Chinese Dialects

description:  Native Sichuan dialect speakers (N=521) were randomly assigned to listen to moral dilemmas (footbridge, trolley) presented in one of five language varieties: their native dialect (Sichuan), standard (Mandarin), two non-native dialects (Dongbei, Xiang), or a foreign language (English).
DOI: 10.5281/zenodo.18240896
title: Supplementary Materials of Chinese Dialects

description:  Native Sichuan dialect speakers (N=521) were randomly assigned to listen to moral dilemmas (footbridge, trolley) presented in one of five language varieties: their native dialect (Sichuan), standard (Mandarin), two non-native dialects (Dongbei, Xiang), or a foreign language (English).
DOI: 10.15468/dl.t8xs7x
title: Occurrence Download

description: A dataset containing 16873754 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "Country is one of (Brunei Darussalam, Cambodia, Indonesia, Lao People’s Democratic Republic, Malaysia, Myanmar, Philippines, Singapore, Thailand, Viet Nam, Timor-Leste)",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Aves [GBIF Backbone Taxonomy])"
 ]
}

 The dataset includes 16873754 records from 238 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010891-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nrnpkr
title: Occurrence Download

description: A dataset containing 81370888 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "Month is one of (January, February, March, April, May, June)",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 2024-2024"
 ]
}

 The dataset includes 81370888 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010898-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18477831
title: TA'LIM TIZIMIDA ADAPTIV TESTLASH TIZIMINI YARATISH

description: Mazkur maqolada ta’lim platformalarida qo‘llanilayotgan adaptiv testlash tizimlarining nazariy asoslari yoritilgan. Adaptiv testlash tushunchasi, uning an’anaviy testlashdan farqli jihatlari, pedagogik ahamiyati hamda adaptiv baholashda qo‘llaniladigan asosiy modellar va algoritmlar tahlil qilingan. Shuningdek, zamonaviy raqamli ta’lim muhitida adaptiv testlash tizimlarining o‘rni va ahamiyati asoslab berilgan.
DOI: 10.5281/zenodo.18477832
title: TA'LIM TIZIMIDA ADAPTIV TESTLASH TIZIMINI YARATISH

description: Mazkur maqolada ta’lim platformalarida qo‘llanilayotgan adaptiv testlash tizimlarining nazariy asoslari yoritilgan. Adaptiv testlash tushunchasi, uning an’anaviy testlashdan farqli jihatlari, pedagogik ahamiyati hamda adaptiv baholashda qo‘llaniladigan asosiy modellar va algoritmlar tahlil qilingan. Shuningdek, zamonaviy raqamli ta’lim muhitida adaptiv testlash tizimlarining o‘rni va ahamiyati asoslab berilgan.
DOI: 10.15468/dl.37kc6w
title: Occurrence Download

description: A dataset containing 1074 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Conogethes punctiferalis",
 "BasisOfRecord is Human Observation",
 "Year is greater than or equal to 1990",
 "Year is less than or equal to 2026"
 ]
}

 The dataset includes 1074 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010928-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aqpx4w
title: Occurrence Download

description: A dataset containing 10494 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Centruroides vittatus"
 ]
}

 The dataset includes 10494 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010927-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18477694
title: Sovereign AI for Government DevOps: Replication Package

description: Replication package for "Sovereign AI for Government DevOps: Benchmarking Quantized LLMs on Commodity Hardware" published in Journal of Edge Computing.

Contains:- Performance benchmark data (latency, throughput, accuracy)- Energy consumption measurements- Cost analysis across utilisation scenarios- Log analysis evaluation results (HDFS, BGL datasets)- Infrastructure-as-Code generation results with failure breakdown- Root cause analysis human evaluation scores- Calibration datasets for imatrix quantization- System prompts, random seeds, and sampling parameters- Python scripts for reproducing paper tables and statistical analysis

Hardware configurations:- Cloud: AWS g5.12xlarge (4× NVIDIA A10G)- Sovereign: MacBook Pro M2 (32GB)

Model: Qwen3-32B (FP16 cloud, Q4_K_M sovereign)
DOI: 10.5281/zenodo.18477695
title: Sovereign AI for Government DevOps: Replication Package

description: Replication package for "Sovereign AI for Government DevOps: Benchmarking Quantized LLMs on Commodity Hardware" published in Journal of Edge Computing.

Contains:- Performance benchmark data (latency, throughput, accuracy)- Energy consumption measurements- Cost analysis across utilisation scenarios- Log analysis evaluation results (HDFS, BGL datasets)- Infrastructure-as-Code generation results with failure breakdown- Root cause analysis human evaluation scores- Calibration datasets for imatrix quantization- System prompts, random seeds, and sampling parameters- Python scripts for reproducing paper tables and statistical analysis

Hardware configurations:- Cloud: AWS g5.12xlarge (4× NVIDIA A10G)- Sovereign: MacBook Pro M2 (32GB)

Model: Qwen3-32B (FP16 cloud, Q4_K_M sovereign)
DOI: 10.5281/zenodo.18323286
title: Supplementary data of Fe-K-Mg isotopes of Sailipu ultrapotassic rocks identify two types of mantle metasomatism beneath southern Tibet
DOI: 10.5281/zenodo.18477833
title: Supplementary data of Fe-K-Mg isotopes of Sailipu ultrapotassic rocks identify two types of mantle metasomatism beneath southern Tibet