cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.pnx42s
title: Occurrence Download

description: A dataset containing 177 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Misgurnus mohoity",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Specimen, Machine Observation)",
 "Year is greater than or equal to 1980",
 "Geometry POLYGON((-25 35, 50 35, 50 75, -25 75, -25 35))"
 ]
}

 The dataset includes 177 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005918-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18598964
title: ONA TILI DARSLARIDA SO'Z TURKUMLARINI O'RGATISHDA RAQAMLI TEXNOLOGIYALAR VA INNOVATSION YONDASHUVLARDAN FOYDALANISH

description: Mazkur maqolada ona tili darslarida so‘z turkumlarini o‘qitish jarayonida raqamli texnologiyalar va innovatsion pedagogik yondashuvlardan samarali foydalanish masalalari ochib berilgan. Tadqiqotda zamonaviy axborot-kommunikatsiya texnologiyalarining ta’lim jarayoniga integratsiyasi, interaktiv platformalar, raqamli didaktik materiallar hamda multimediali vositalarning o‘quvchilarning grammatik kompetensiyasini rivojlantirishdagi o‘rni tahlil qilinadi. Shuningdek, so‘z turkumlarini o‘rgatishda muammoli ta’lim, loyiha asosida o‘qitish, o‘yin texnologiyalari va blended learning (aralash ta’lim) yondashuvlarining metodik imkoniyatlari ko‘zdan kechiriladi. Natijada, raqamli va innovatsion yondashuvlar o‘quvchilarning mustaqil fikrlash, tahlil qilish va til birliklarini ongli ravishda qo‘llash ko‘nikmalarini shakllantirishga xizmat qilishi ilmiy jihatdan asoslab beriladi.
DOI: 10.5281/zenodo.18598963
title: ONA TILI DARSLARIDA SO'Z TURKUMLARINI O'RGATISHDA RAQAMLI TEXNOLOGIYALAR VA INNOVATSION YONDASHUVLARDAN FOYDALANISH

description: Mazkur maqolada ona tili darslarida so‘z turkumlarini o‘qitish jarayonida raqamli texnologiyalar va innovatsion pedagogik yondashuvlardan samarali foydalanish masalalari ochib berilgan. Tadqiqotda zamonaviy axborot-kommunikatsiya texnologiyalarining ta’lim jarayoniga integratsiyasi, interaktiv platformalar, raqamli didaktik materiallar hamda multimediali vositalarning o‘quvchilarning grammatik kompetensiyasini rivojlantirishdagi o‘rni tahlil qilinadi. Shuningdek, so‘z turkumlarini o‘rgatishda muammoli ta’lim, loyiha asosida o‘qitish, o‘yin texnologiyalari va blended learning (aralash ta’lim) yondashuvlarining metodik imkoniyatlari ko‘zdan kechiriladi. Natijada, raqamli va innovatsion yondashuvlar o‘quvchilarning mustaqil fikrlash, tahlil qilish va til birliklarini ongli ravishda qo‘llash ko‘nikmalarini shakllantirishga xizmat qilishi ilmiy jihatdan asoslab beriladi.
DOI: 10.15468/dl.8u7r67
title: Occurrence Download

description: A dataset containing 68 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Paracheirodon innesi",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 68 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005920-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.655pbf
title: Occurrence Download

description: A dataset containing 5469 records in GBIF matching the query:

 SELECT gbifid, datasetkey, specieskey, kingdom, phylum, class, "order", family, genus, species, scientificname, decimallatitude, decimallongitude, eventdate, institutioncode, "year" AS obs_year, basisofrecord, coordinateuncertaintyinmeters, issue
 FROM occurrence
 WHERE
 decimallatitude IS NOT NULL
 AND decimallongitude IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND coordinateuncertaintyinmeters IS NOT NULL
 AND coordinateuncertaintyinmeters &gt; 0
 AND coordinateuncertaintyinmeters &lt;= 200.0
 AND decimallatitude &gt;= 61.2993700571118
 AND decimallatitude &lt;= 66.79314043790278
 AND decimallongitude &gt;= 71.19381906424559
 AND decimallongitude &lt;= 89.8003922963208
 AND GBIF_Within('POLYGON ((89.800392 61.299370, 89.800392 66.793140, 71.193819 66.793140, 71.193819 61.299370, 89.800392 61.299370))', decimallatitude, decimallongitude) = TRUE
 

 The dataset's 5469 records were derived from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005910-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5cq5qx
title: Occurrence Download

description: A dataset containing 2732848 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation)",
 "Continent is North America",
 "Country is one of (Canada, United States of America)",
 "DatasetKey is one of (iNaturalist Research-grade Observations, GPS locations of Northern Gannets season 2014 / Localisations GPS de fous de Bassan saison 2014, Birda - Global Observation Dataset, GPS locations of Northern Gannets season 2016 / Localisations GPS de fous de Bassan saison 2016, The Second Breeding Bird Atlas of Vermont (2003-2007), Historic Bird and Wildlife Records Observed by Guy Waterman in Vermont, USA (1974-1998), GPS locations of Northern Gannets season 2013 / Localisations GPS de fous de Bassan saison 2013, GPS locations of Northern Gannets season 2017 / Localisations GPS de fous de Bassan saison 2017, GPS locations of Northern Gannets season 2015 / Localisations GPS de fous de Bassan saison 2015)",
 "Geometry POLYGON((-80.53837 42.27292,-62.14427 42.27292,-62.14427 50.97284,-80.53837 50.97284,-80.53837 42.27292))",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Mammalia, Squamata, Amphibia, Testudines, Aves)",
 "Year 1970-2026"
 ]
}

 The dataset includes 2732848 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005901-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d6syag
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Atriplex belangeri"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005921-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18598975
title: ТАЪЛИМ МУАССАСАЛАРИДА МЕҲНАТНИ МУҲОФАЗА ҚИЛИШНИ БОШҚАРИШ ТИЗИМИНИНГ АҲАМИЯТИ

description: Халқаро меҳнат ташкилотининг “Меҳнат хавфсизлиги ва гигиенаси ҳамда ишлаб чиқариш муҳити тўғрисида”ги 155-сонли Конвенцияси (Женева, 1981 йил 22 июнь) нормаларини миллий қонунчиликка жорий қилиш мақсадида, Ўзбекистон Республикаси Вазирлар Маҳкамаси томонидан 2025 йил 21 июлда “Меҳнатни муҳофаза қилишни бошқариш тизимини жорий этиш тўғрисида”ги 454-сонли қарори қабул қилинди.

Мазкур қарорга кўра, ташкилотларда меҳнатни муҳофаза қилишни бошқариш тизимини режалаштириш, унинг фаолият кўрсатишини ташкил этиш, ички аудитдан ўтказиш ва такомиллаштириш мақсадида “Меҳнатни муҳофаза қилишни бошқариш тизими тўғрисида”ги намунавий низом тасдиқланди.
DOI: 10.5281/zenodo.18598974
title: ТАЪЛИМ МУАССАСАЛАРИДА МЕҲНАТНИ МУҲОФАЗА ҚИЛИШНИ БОШҚАРИШ ТИЗИМИНИНГ АҲАМИЯТИ

description: Халқаро меҳнат ташкилотининг “Меҳнат хавфсизлиги ва гигиенаси ҳамда ишлаб чиқариш муҳити тўғрисида”ги 155-сонли Конвенцияси (Женева, 1981 йил 22 июнь) нормаларини миллий қонунчиликка жорий қилиш мақсадида, Ўзбекистон Республикаси Вазирлар Маҳкамаси томонидан 2025 йил 21 июлда “Меҳнатни муҳофаза қилишни бошқариш тизимини жорий этиш тўғрисида”ги 454-сонли қарори қабул қилинди.

Мазкур қарорга кўра, ташкилотларда меҳнатни муҳофаза қилишни бошқариш тизимини режалаштириш, унинг фаолият кўрсатишини ташкил этиш, ички аудитдан ўтказиш ва такомиллаштириш мақсадида “Меҳнатни муҳофаза қилишни бошқариш тизими тўғрисида”ги намунавий низом тасдиқланди.
DOI: 10.48320/55558bac-2a61-4161-8de6-dfc52dc4144c
title: Opinions and Views of the Population of Ukraine: July-August 2025 (KIIS Omnibus 2025/08)
DOI: 10.5281/zenodo.18598984
title: Opinions and Views of the Population of Ukraine: July-August 2025 (KIIS Omnibus 2025/08) – Data from a nationwide public opinion poll conducted by KIIS in July-August 2025

description: "Opinions and Views of the Population of Ukraine" is a regular omnibus survey, conducted by Kyiv International Institute of Sociology (KIIS) among Ukraine's adult population and covering a wide range of topics. The data presented here is a subset of the survey conducted in July–August 2025 and includes KIIS's own research questions.
Topics covered by the survey include: 
    • Trust in Volodymyr Zelenskyy; 
    • Trust in Prime Minister Yulia Svyrydenko and expectations of government performance;
    • Acceptability of specific peace plans to end the war;
    • Perceptions of the policies of Europe and the United States toward Ukraine in the context of the ongoing Russia-Ukraine war;
    • Perceptions of Ukraine's future in 10 years; 
    • What is more important for Ukraine: a strong leader or a democratic system;
    • Opinions on the Iran–Israel war.
Data collection took place from 23 July to 4 August 2025.
The sample included 1,022 respondents.
The data is available in an SAV format (Ukrainian, English) and a converted CSV format (with a codebook).
The Data Documentation includes a short overview and discussion of survey results (with frequency tables in Annex 1) as well as the relevant parts of the original questionnaire in Ukrainian (Annex 2).
description: Published on Discuss Data, https://discuss-data.net/dataset/55558bac-2a61-4161-8de6-dfc52dc4144c/
description: Method(s) of data collection: Public Opinion Poll
DOI: 10.5281/zenodo.18598985
title: Opinions and Views of the Population of Ukraine: July-August 2025 (KIIS Omnibus 2025/08) – Data from a nationwide public opinion poll conducted by KIIS in July-August 2025

description: "Opinions and Views of the Population of Ukraine" is a regular omnibus survey, conducted by Kyiv International Institute of Sociology (KIIS) among Ukraine's adult population and covering a wide range of topics. The data presented here is a subset of the survey conducted in July–August 2025 and includes KIIS's own research questions.
Topics covered by the survey include: 
    • Trust in Volodymyr Zelenskyy; 
    • Trust in Prime Minister Yulia Svyrydenko and expectations of government performance;
    • Acceptability of specific peace plans to end the war;
    • Perceptions of the policies of Europe and the United States toward Ukraine in the context of the ongoing Russia-Ukraine war;
    • Perceptions of Ukraine's future in 10 years; 
    • What is more important for Ukraine: a strong leader or a democratic system;
    • Opinions on the Iran–Israel war.
Data collection took place from 23 July to 4 August 2025.
The sample included 1,022 respondents.
The data is available in an SAV format (Ukrainian, English) and a converted CSV format (with a codebook).
The Data Documentation includes a short overview and discussion of survey results (with frequency tables in Annex 1) as well as the relevant parts of the original questionnaire in Ukrainian (Annex 2).
description: Published on Discuss Data, https://discuss-data.net/dataset/55558bac-2a61-4161-8de6-dfc52dc4144c/
description: Method(s) of data collection: Public Opinion Poll
DOI: 10.15468/dl.n293dd
title: Occurrence Download

description: A dataset containing 3490 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mulinia lateralis",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 }
 ]
}

 The dataset includes 3490 records from 69 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005922-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9t6vsq
title: Occurrence Download

description: A dataset containing 5452 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Patrones biogeográficos de vegas de la Puna Argentina"
 ]
}

 The dataset includes 5452 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005923-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18503069
title: Computational Study of Allosteric Switch of NLRP3: How ATP Binding Unlocks the NACHT  Domain
DOI: 10.5281/zenodo.18503068
title: Computational Study of Allosteric Switch of NLRP3: How ATP Binding Unlocks the NACHT  Domain
DOI: 10.5284/1139265
title: Images from a Level 2 Descriptive Buildings Record at Hepworth House, North Road East, Plymouth, Devon, June 2025

description: This collection comprises images from historic building record works at Hepworth House, North Road East, Plymouth, Devon. The works were conducted by AC Archaeology in June 2025. The historic building recording work occurred following a soft-strip of the interior, prior to the main demolition works commencing at the site. The works aimed to record any architectural features that were obscured at the time of a previous architectural appraisal of the building. Following the soft strip of the building the extent of the late-20th century alterations was exposed, and the loft was shown to have been converted into third floor accommodation in the first half of the 20th century. No primary fireplace fittings were exposed; however, areas of cornice and wallpaper remained in three of the town houses.
DOI: 10.6084/m9.figshare.29447390
title: <b>Interplay of diet, heat stress, and the microbiome shapes health and escape behavior in amphibian larvae</b>

description: What animals eat modulates their microbiome and is fundamental to their health. Microbiomes can improve hosts’ ability to cope with environmental stressors, including increased temperatures and altered food quantity and quality associated with climate change. Using a multifactorial experimental design, we tested whether three diets with increasing amounts of protein, fat, and components of animal origin (designated low-, intermediate-, and high-quality), two rearing temperatures (18 °C or 24.5 °C), and exposure or not to a heat wave (28 °C for 48 h) shaped the gut bacterial community of amphibian larvae (<i>Rana temporaria</i>). We then examined how the treatments, associated shifts in gut bacterial communities, and predicted metabolic pathways related to larvae nutrient assimilation (isotopic signatures), health (body condition and developmental rate), and escape behavior. Larvae maintained their body condition and developed faster at 24.5 °C, with higher diet quality (i.e., reduced herbivory) further accelerating development at this temperature. The intermediate-quality diet reduced the ability of larvae to react to an aversive stimulus at 24.5 °C, but this effect did not occur in larvae exposed to the heat wave. The heat wave may have triggered an increase in the abundance of <i>Klebsiella</i>, together with an increase in the myo-inositol degradation pathway, which influences cell membrane fluidity and signaling and may increase attention levels. Similar outcomes in host performance under most experimental conditions highlight the potential plasticity of the bacterial community and the presence of alternative enterotypes with functionally redundant metabolic capacities compatible with host health.
DOI: 10.6084/m9.figshare.29447390.v1
title: <b>Interplay of diet, heat stress, and the microbiome shapes health and escape behavior in amphibian larvae</b>

description: What animals eat modulates their microbiome and is fundamental to their health. Microbiomes can improve hosts’ ability to cope with environmental stressors, including increased temperatures and altered food quantity and quality associated with climate change. Using a multifactorial experimental design, we tested whether three diets with increasing amounts of protein, fat, and components of animal origin (designated low-, intermediate-, and high-quality), two rearing temperatures (18 °C or 24.5 °C), and exposure or not to a heat wave (28 °C for 48 h) shaped the gut bacterial community of amphibian larvae (<i>Rana temporaria</i>). We then examined how the treatments, associated shifts in gut bacterial communities, and predicted metabolic pathways related to larvae nutrient assimilation (isotopic signatures), health (body condition and developmental rate), and escape behavior. Larvae maintained their body condition and developed faster at 24.5 °C, with higher diet quality (i.e., reduced herbivory) further accelerating development at this temperature. The intermediate-quality diet reduced the ability of larvae to react to an aversive stimulus at 24.5 °C, but this effect did not occur in larvae exposed to the heat wave. The heat wave may have triggered an increase in the abundance of <i>Klebsiella</i>, together with an increase in the myo-inositol degradation pathway, which influences cell membrane fluidity and signaling and may increase attention levels. Similar outcomes in host performance under most experimental conditions highlight the potential plasticity of the bacterial community and the presence of alternative enterotypes with functionally redundant metabolic capacities compatible with host health.
DOI: 10.15468/dl.3zhqvg
title: Occurrence Download

description: A dataset containing 98 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Andesiops peruvianus"
 ]
}

 The dataset includes 98 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005924-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18598986
title: RAQAMLI TEXNOLOGIYALAR TA'LIM TIZIMIGA QANDAY TA'SIR QILMOQDA

description: Mazkur maqolada raqamli texnologiyalarning ta’lim tizimiga ta’siri yoritilgan.Unda zamonaviy axborot texnologiyalari yordamida ta’lim jarayonlarining samaradorligi oshishi, masofaviy ta’lim imkoniyatlarining kengayishi hamda elektron resurslarning afzalliklari tahlil qilingan. Shuningdek, raqamli texnologiyalardan foydalanish  jarayonida yuzaga kelishi mumkin bo’lgan ayrim muammolar ham ko’rib chiqiladi. Maqola ta’lim jarayonida texnologiyalardan oqilona foydalanish muhimligini asoslab beradi.
DOI: 10.5281/zenodo.18598987
title: RAQAMLI TEXNOLOGIYALAR TA'LIM TIZIMIGA QANDAY TA'SIR QILMOQDA

description: Mazkur maqolada raqamli texnologiyalarning ta’lim tizimiga ta’siri yoritilgan.Unda zamonaviy axborot texnologiyalari yordamida ta’lim jarayonlarining samaradorligi oshishi, masofaviy ta’lim imkoniyatlarining kengayishi hamda elektron resurslarning afzalliklari tahlil qilingan. Shuningdek, raqamli texnologiyalardan foydalanish  jarayonida yuzaga kelishi mumkin bo’lgan ayrim muammolar ham ko’rib chiqiladi. Maqola ta’lim jarayonida texnologiyalardan oqilona foydalanish muhimligini asoslab beradi.
DOI: 10.15468/dl.g9af2b
title: Occurrence Download

description: A dataset containing 69936 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is July",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Acipenseriformes, Albuliformes, Amiiformes, Anguilliformes, Ateleopodiformes, Atheriniformes, Aulopiformes, Batrachoidiformes, Beloniformes, Beryciformes, Cetomimiformes, Characiformes, Clupeiformes, Cypriniformes, Cyprinodontiformes, Elopiformes, Esociformes, Gadiformes, Gasterosteiformes, Gobiesociformes, Gonorynchiformes, Gymnotiformes, Lampriformes, Lepisosteiformes, Lophiiformes, Mugiliformes, Myctophiformes, Notacanthiformes, Ophidiiformes, Osmeriformes, Osteoglossiformes, Perciformes, Percopsiformes, Pleuronectiformes, Polymixiiformes, Polypteriformes, Saccopharyngiformes, Salmoniformes, Scorpaeniformes, Siluriformes, Stephanoberyciformes, Stomiiformes, Synbranchiformes, Syngnathiformes, Tetraodontiformes, Zeiformes, Myxini, Petromyzontiformes, Holocephali, Elasmobranchii, Coelacanthiformes, Dipneusti)",
 "Year is 2025"
 ]
}

 The dataset includes 69936 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005895-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/1g7w-pk85
title: "Semantic-Aware Sensor Anomaly Detection Dataset"

description: "This dataset contains multivariate time-series measurements collected from an embedded sensing platform designed for research in anomaly detection and fault diagnosis in sensor-based control systems. The platform is built using an ESP32 microcontroller interfaced with heterogeneous sensors, including temperature, humidity, and optical sensing (photoresistor), along with controllable RGB LED actuation signals.Data were collected under both normal operating conditions and controlled fault injection scenarios to simulate realistic sensor and system anomalies such as signal noise, saturation, and actuation\u2013sensor inconsistencies. Each record includes synchronized sensor measurements, actuator states, timestamps, and ground-truth fault labels, enabling supervised evaluation of anomaly detection and root-cause analysis algorithms.The dataset is intended to support research in industrial IoT monitoring, cyber\u2013physical systems, semantic-aware sensor analytics, and machine learning\u2013based diagnostic modeling. The structured nature of the dataset allows evaluation of both time-series-only and context-aware fault detection approaches. This dataset is suitable for benchmarking anomaly detection models, developing interpretable diagnostic algorithms, and studying sensor\u2013actuator interaction behavior in embedded sensing environments."
DOI: 10.7910/dvn/gydqqp
title: Ancillary Data for Gottemoller et al. (2026)

description: Ancillary files associated with the publication Gottemoller et al. (in prep).