cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18526488
title: O'ZBEKISTONDA BANK XIZMATLARINING RAQAMLI TRANSFORMATSIYASI: KREDIT JARAYONLARINI BOSHQARISH SAMARADORLIGI VA REAL SEKTORNI MOLIYAVIY TA'MINLASH BARQARORLIGIGA TA'SIRI

description: Mazkur ilmiy maqolada O‘zbekiston bank tizimida raqamli transformatsiya jarayonlarining rivojlanish holati hamda uning kredit jarayonlarini boshqarish samaradorligi va real sektorni moliyaviy ta’minlash barqarorligiga ta’siri kompleks tahlil qilinadi. Tadqiqot doirasida raqamli bank xizmatlari, fintech texnologiyalar, masofaviy kreditlash, avtomatlashtirilgan skoring tizimlari va raqamli risk-menejment mexanizmlarining amaliy ahamiyati yoritilgan. Statistik va solishtirma tahlil natijalari raqamli transformatsiya kredit ajratish tezligini oshirishi, operatsion xarajatlarni kamaytirishi hamda kredit risklarini samarali boshqarishga xizmat qilishini ko‘rsatadi. Shuningdek, raqamli bank xizmatlarining real sektor subyektlarining moliyaviy barqarorligi va investitsion faolligini oshirishdagi roli asoslab berilgan. Olingan xulosalar bank tizimini modernizatsiya qilish va iqtisodiyotning real sektorini barqaror moliyalashtirishda muhim amaliy ahamiyatga ega.
DOI: 10.5281/zenodo.16937255
title: BPhage test dataset and midsave file

description: These are two additional datasets for the analysis pipeline at https://github.com/nikolasbasler/BPhage

The Github repository is also mirrored to Zenodo: https://doi.org/10.5281/zenodo.18526419



BPhage_test_dataset.tar.gz is a reduced raw dataset to test the entire pipeline.

mid_save.tar.gz contains all output from the high-performance computing that is needed to reproduce the statistical testing and visualisiation.


Please see the Github repository for instructions.
DOI: 10.5281/zenodo.18526448
title: BPhage test dataset and midsave file

description: These are two additional datasets for the analysis pipeline at https://github.com/nikolasbasler/BPhage

The Github repository is also mirrored to Zenodo: https://doi.org/10.5281/zenodo.18526419



BPhage_test_dataset.tar.gz is a reduced raw dataset to test the entire pipeline.

mid_save.tar.gz contains all output from the high-performance computing that is needed to reproduce the statistical testing and visualisiation.


Please see the Github repository for instructions.
DOI: 10.5281/zenodo.18511287
title: DATA SET OF MEASURED PHYSICOCHEMICAL PARAMETERS OF GEOTHERMAL ZONE OF THE JUNTHUMA RIVER BASIN – SAJAMA NATIONAL PARK

description: Overview





Study Area: Juntuma River basin and Sajama National Park geothermal zone (Bolivian Altiplano).




Field Collection: March 2022.




Analytical Methods: 



           Major Anions: Ion Chromatography.

           Major Cations: Atomic Absorption Spectroscopy.



Laboratory: Institute of Chemical Research, Universidad Mayor de San Andrés (UMSA).


This dataset contains hydrogeochemical data collected in March 2022 from the Juntuma River basin and the geothermal zones of Sajama National Park, Bolivian Altiplano. Major anions were determined by Ion Chromatography (IC), while major cations were analyzed using atomic absorption spectroscopy (AAS) at the Institute of Chemical Research, Universidad Mayor de San Andrés (UMSA).

IMPORTANT NOTE ON DATA OWNERSHIP AND USE

This record corresponds to an undergraduate thesis developed using field and laboratory data that are part of a major doctoral research thesis entitled “Hydrogeochemistry and Spatial Distribution of Coexisting Geogenic Arsenic, Boron, and Lithium in the Lithium-Rich Endorheic Coipasa Salt Basin, Bolivian Altiplano” (KTH-UMSA), conducted by Lizangela Sofía Huallpara Lliully.

The data presented in this work are not an independent dataset. Ownership of the original data corresponds to the doctoral research project and its principal researcher.

These dataset represents the primary data collection for the doctoral research conducted by Huallpara, L.

These data must not be reused, modified, or published independently without the explicit written authorization of the doctoral researcher.

The complete analysis and interpretation of these data will be published in a peer-reviewed scientific article currently in preparation.
DOI: 10.5281/zenodo.18511288
title: DATA SET OF MEASURED PHYSICOCHEMICAL PARAMETERS OF GEOTHERMAL ZONE OF THE JUNTHUMA RIVER BASIN – SAJAMA NATIONAL PARK

description: Overview





Study Area: Juntuma River basin and Sajama National Park geothermal zone (Bolivian Altiplano).




Field Collection: March 2022.




Analytical Methods: 



           Major Anions: Ion Chromatography.

           Major Cations: Atomic Absorption Spectroscopy.



Laboratory: Institute of Chemical Research, Universidad Mayor de San Andrés (UMSA).


This dataset contains hydrogeochemical data collected in March 2022 from the Juntuma River basin and the geothermal zones of Sajama National Park, Bolivian Altiplano. Major anions were determined by Ion Chromatography (IC), while major cations were analyzed using atomic absorption spectroscopy (AAS) at the Institute of Chemical Research, Universidad Mayor de San Andrés (UMSA).

IMPORTANT NOTE ON DATA OWNERSHIP AND USE

This record corresponds to an undergraduate thesis developed using field and laboratory data that are part of a major doctoral research thesis entitled “Hydrogeochemistry and Spatial Distribution of Coexisting Geogenic Arsenic, Boron, and Lithium in the Lithium-Rich Endorheic Coipasa Salt Basin, Bolivian Altiplano” (KTH-UMSA), conducted by Lizangela Sofía Huallpara Lliully.

The data presented in this work are not an independent dataset. Ownership of the original data corresponds to the doctoral research project and its principal researcher.

These dataset represents the primary data collection for the doctoral research conducted by Huallpara, L.

These data must not be reused, modified, or published independently without the explicit written authorization of the doctoral researcher.

The complete analysis and interpretation of these data will be published in a peer-reviewed scientific article currently in preparation.
DOI: 10.5281/zenodo.18526496
title: IJTIMOIY ISH SOHASIDA KADRLAR SALOHIYATI

description: Mazkur maqolada ijtimoiy ish sohasida kadrlar salohiyatini shakllantirish va rivojlantirish masalalari ilmiy-nazariy hamda amaliy jihatdan tahlil qilingan. Tadqiqotda ijtimoiy ish mutaxassislarining kasbiy kompetensiyasi, bilim va ko‘nikmalari, shaxsiy fazilatlari hamda uzluksiz kasbiy rivojlanishining ijtimoiy xizmatlar samaradorligiga ta’siri o‘rganildi. Chet el va O‘zbekiston olimlarining ilmiy ishlari tahlili asosida ijtimoiy ish kadrlarining salohiyatini baholashda kompetensiyaga asoslangan yondashuvning ahamiyati asoslab berildi. Tadqiqot jarayonida hujjatlarni tahlil qilish, so‘rovnoma, intervyu va taqqoslash metodlaridan foydalanildi. Natijalar ijtimoiy ish sohasida kadrlar salohiyatini oshirish uchun ta’lim va amaliyot integratsiyasini kuchaytirish, uzluksiz malaka oshirish tizimini rivojlantirish zarurligini ko‘rsatdi. Tadqiqot xulosalari ijtimoiy himoya tizimini takomillashtirishda ilmiy-amaliy ahamiyatga ega.
DOI: 10.5281/zenodo.18526497
title: IJTIMOIY ISH SOHASIDA KADRLAR SALOHIYATI

description: Mazkur maqolada ijtimoiy ish sohasida kadrlar salohiyatini shakllantirish va rivojlantirish masalalari ilmiy-nazariy hamda amaliy jihatdan tahlil qilingan. Tadqiqotda ijtimoiy ish mutaxassislarining kasbiy kompetensiyasi, bilim va ko‘nikmalari, shaxsiy fazilatlari hamda uzluksiz kasbiy rivojlanishining ijtimoiy xizmatlar samaradorligiga ta’siri o‘rganildi. Chet el va O‘zbekiston olimlarining ilmiy ishlari tahlili asosida ijtimoiy ish kadrlarining salohiyatini baholashda kompetensiyaga asoslangan yondashuvning ahamiyati asoslab berildi. Tadqiqot jarayonida hujjatlarni tahlil qilish, so‘rovnoma, intervyu va taqqoslash metodlaridan foydalanildi. Natijalar ijtimoiy ish sohasida kadrlar salohiyatini oshirish uchun ta’lim va amaliyot integratsiyasini kuchaytirish, uzluksiz malaka oshirish tizimini rivojlantirish zarurligini ko‘rsatdi. Tadqiqot xulosalari ijtimoiy himoya tizimini takomillashtirishda ilmiy-amaliy ahamiyatga ega.
DOI: 10.15468/dl.wjejef
title: Occurrence Download

description: A dataset containing 3138 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 Sedum pallidum"
 ]
}

 The dataset includes 3138 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001400-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.31289706
title: ANXA2, DBN1, ZNF385D, and IL6ST: Endothelial cell biomarkers linking atherosclerosis progression to immune microenvironment dysregulation

description: Atherosclerosis (AS) is a complex cardiovascular disorder driven by endothelial cell dysfunction and immune microenvironment dysregulation. We identified novel endothelial-related diagnostic biomarkers through multi-omics integration and machine learning approaches. Single‑cell atlas of AS was constructed from scRNA-seq data using the Seurat. Endothelial cell‑specific co‑expression modules and hub genes were identified via high-dimensional WGCNA (hdWGCNA), and key endothelial‑associated differentially expressed genes (DEGs) were obtained by integrating these modules with differential expression analysis. Diagnostic genes were screened using LASSO regression and SVM-RFE using glmnet and caret packages, respectively. Their correlations with immune cell infiltration were assessed by single-sample GSEA (ssGSEA) and the CIBERSORT algorithm. Finally, the binding capacity of the encoded proteins to potential therapeutic agents was evaluated through drug-target prediction using the Enrichr platform and the DSigDB database, followed by molecular docking simulations. A total of 66 endothelial cell-associated DEGs were identified, from which four core feature genes (<i>ANXA2</i>, <i>DBN1</i>, <i>ZNF385D</i>, and <i>IL6ST</i>) were screened using machine learning approaches. Immune infiltration analysis revealed a global increase in immune cell infiltration (e.g., activated B cells, T cells, and macrophages) in atherosclerotic lesions, with the four genes showing significant correlations with specific immune subsets, while single-cell data further confirmed T cells, macrophages, and B cells as the predominant cellular components in the plaque microenvironment. Molecular docking results demonstrated strong binding capabilities of <i>ANXA2</i> with thalidomide and <i>IL6ST</i> with resveratrol, with binding energies of −6.7 kcal/mol and −7.4 kcal/mol, respectively. Our findings provided new insights for the targeted AS therapy.
DOI: 10.6084/m9.figshare.31289706.v1
title: ANXA2, DBN1, ZNF385D, and IL6ST: Endothelial cell biomarkers linking atherosclerosis progression to immune microenvironment dysregulation

description: Atherosclerosis (AS) is a complex cardiovascular disorder driven by endothelial cell dysfunction and immune microenvironment dysregulation. We identified novel endothelial-related diagnostic biomarkers through multi-omics integration and machine learning approaches. Single‑cell atlas of AS was constructed from scRNA-seq data using the Seurat. Endothelial cell‑specific co‑expression modules and hub genes were identified via high-dimensional WGCNA (hdWGCNA), and key endothelial‑associated differentially expressed genes (DEGs) were obtained by integrating these modules with differential expression analysis. Diagnostic genes were screened using LASSO regression and SVM-RFE using glmnet and caret packages, respectively. Their correlations with immune cell infiltration were assessed by single-sample GSEA (ssGSEA) and the CIBERSORT algorithm. Finally, the binding capacity of the encoded proteins to potential therapeutic agents was evaluated through drug-target prediction using the Enrichr platform and the DSigDB database, followed by molecular docking simulations. A total of 66 endothelial cell-associated DEGs were identified, from which four core feature genes (<i>ANXA2</i>, <i>DBN1</i>, <i>ZNF385D</i>, and <i>IL6ST</i>) were screened using machine learning approaches. Immune infiltration analysis revealed a global increase in immune cell infiltration (e.g., activated B cells, T cells, and macrophages) in atherosclerotic lesions, with the four genes showing significant correlations with specific immune subsets, while single-cell data further confirmed T cells, macrophages, and B cells as the predominant cellular components in the plaque microenvironment. Molecular docking results demonstrated strong binding capabilities of <i>ANXA2</i> with thalidomide and <i>IL6ST</i> with resveratrol, with binding energies of −6.7 kcal/mol and −7.4 kcal/mol, respectively. Our findings provided new insights for the targeted AS therapy.
DOI: 10.5281/zenodo.18526504
title: ИГРОВЫЕ ТЕХНОЛОГИИ ПЛОСКОСТНОГО МОДЕЛИРОВАНИЯ КАК РЕСУРС РАЗВИТИЯ МАТЕМАТИЧЕСКОГО МЫШЛЕНИЯ ДОШКОЛЬНИКОВ (НА МАТЕРИАЛЕ TANGRAM, PYTHAGORAS, PENTAMINO)

description: ИГРОВЫЕ ТЕХНОЛОГИИ ПЛОСКОСТНОГО МОДЕЛИРОВАНИЯ КАК РЕСУРС РАЗВИТИЯ МАТЕМАТИЧЕСКОГО МЫШЛЕНИЯ ДОШКОЛЬНИКОВ (НА МАТЕРИАЛЕ TANGRAM, PYTHAGORAS, PENTAMINO)
DOI: 10.5281/zenodo.18526503
title: ИГРОВЫЕ ТЕХНОЛОГИИ ПЛОСКОСТНОГО МОДЕЛИРОВАНИЯ КАК РЕСУРС РАЗВИТИЯ МАТЕМАТИЧЕСКОГО МЫШЛЕНИЯ ДОШКОЛЬНИКОВ (НА МАТЕРИАЛЕ TANGRAM, PYTHAGORAS, PENTAMINO)

description: ИГРОВЫЕ ТЕХНОЛОГИИ ПЛОСКОСТНОГО МОДЕЛИРОВАНИЯ КАК РЕСУРС РАЗВИТИЯ МАТЕМАТИЧЕСКОГО МЫШЛЕНИЯ ДОШКОЛЬНИКОВ (НА МАТЕРИАЛЕ TANGRAM, PYTHAGORAS, PENTAMINO)
DOI: 10.15468/dl.bx3hjn
title: Occurrence Download

description: A dataset containing 0 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 Sedum rhodiola"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001402-260208012135463/datasets/export for details.
DOI: 10.5281/zenodo.18526513
title: INGLIZ TILIDAN O'ZBEK TILIGA TARJIMADA TRANSFORMATSIYA HODISASI

description:  Mazkur maqolada ingliz tilidan o‘zbek tiliga tarjima jarayonida yuzaga keladigan transformatsiya hodisasi nazariy va amaliy jihatdan tahlil qilinadi. Tarjima jarayonida til tizimlari o‘rtasidagi strukturaviy, semantik va pragmatik farqlar sababli turli transformatsiyalar qo‘llanilishi muqarrar ekanligi asoslab beriladi. Tadqiqotda leksik, grammatik, sintaktik va semantik transformatsiyalarning asosiy turlari, ularning qo‘llanish sabablari hamda tarjima sifati va adekvatligini ta’minlashdagi o‘rni misollar asosida yoritilgan. Shuningdek, ingliz va o‘zbek tillarining tipologik xususiyatlari transformatsiyalarning shakllanishiga qanday ta’sir ko‘rsatishi ilmiy jihatdan tahlil etiladi. Maqola tarjimashunoslik sohasida faoliyat yuritayotgan mutaxassislar, tadqiqotchilar va talabalarga mo‘ljallangan.
DOI: 10.5281/zenodo.18526512
title: INGLIZ TILIDAN O'ZBEK TILIGA TARJIMADA TRANSFORMATSIYA HODISASI

description:  Mazkur maqolada ingliz tilidan o‘zbek tiliga tarjima jarayonida yuzaga keladigan transformatsiya hodisasi nazariy va amaliy jihatdan tahlil qilinadi. Tarjima jarayonida til tizimlari o‘rtasidagi strukturaviy, semantik va pragmatik farqlar sababli turli transformatsiyalar qo‘llanilishi muqarrar ekanligi asoslab beriladi. Tadqiqotda leksik, grammatik, sintaktik va semantik transformatsiyalarning asosiy turlari, ularning qo‘llanish sabablari hamda tarjima sifati va adekvatligini ta’minlashdagi o‘rni misollar asosida yoritilgan. Shuningdek, ingliz va o‘zbek tillarining tipologik xususiyatlari transformatsiyalarning shakllanishiga qanday ta’sir ko‘rsatishi ilmiy jihatdan tahlil etiladi. Maqola tarjimashunoslik sohasida faoliyat yuritayotgan mutaxassislar, tadqiqotchilar va talabalarga mo‘ljallangan.
DOI: 10.15468/dl.6euq3u
title: Occurrence Download

description: A dataset containing 12383 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 Sedum sarmentosum"
 ]
}

 The dataset includes 12383 records from 213 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001403-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vh9sds
title: Occurrence Download

description: A dataset containing 776401 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;= 28.773895969281842
 AND decimallatitude &lt;= 33.06103686093294
 AND decimallongitude &gt;= -111.32233086734905
 AND decimallongitude &lt;= -102.84701687382413
 AND GBIF_Within('POLYGON ((-102.847017 28.773896, -102.847017 33.061037, -111.322331 33.061037, -111.322331 28.773896, -102.847017 28.773896))', decimallatitude, decimallongitude) = TRUE
 

 The dataset's 776401 records were derived from 134 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001397-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j6vc23
title: Occurrence Download

description: A dataset containing 5795 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Country is Malaysia",
 "DatasetKey is one of (EOD – eBird Observation Dataset, Naturalis Biodiversity Center (NL) - Botany)",
 "Geometry POLYGON((101.8745 3.19903,101.9343 3.19903,101.9343 3.28472,101.8745 3.28472,101.8745 3.19903))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is one of (DD, LC, NT, VU, EN, CR, EW, EX, NE)",
 "Year 2006-2026"
 ]
}

 The dataset includes 5795 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001404-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18526525
title: O'ZBEKISTON TARIXIDA ILM-FAN VA MADANIYAT YUKSALISHI

description: O‘zbekiston tarixi boy madaniy meros va ilmiy yutuqlarga boy bo‘lib, markaziy Osiyoda ilm-fan va madaniyat rivojlanishi jamiyatning iqtisodiy, siyosiy va ma’naviy hayotiga katta ta’sir ko‘rsatgan. Ushbu maqolada O‘zbekiston hududida ilm-fan va madaniyatning yuksalishi, tarixiy rivojlanish bosqichlari, mashhur olimlar va ijodkorlarning hissasi, shuningdek madaniy merosning xalqaro miqyosdagi ahamiyati tahlil qilinadi. Tadqiqot tarixiy manbalar, arxeologik topilmalar va adabiyotlar tahliliga asoslangan. Natijalar shuni ko‘rsatadiki, ilm-fan va madaniyat rivojlanishi O‘zbekistonni mintaqaviy va global miqyosda tanilgan markazga aylantirgan va bugungi kun madaniy va ilmiy siyosatini shakllantirishda muhim rol o‘ynagan.
DOI: 10.5281/zenodo.18526524
title: O'ZBEKISTON TARIXIDA ILM-FAN VA MADANIYAT YUKSALISHI

description: O‘zbekiston tarixi boy madaniy meros va ilmiy yutuqlarga boy bo‘lib, markaziy Osiyoda ilm-fan va madaniyat rivojlanishi jamiyatning iqtisodiy, siyosiy va ma’naviy hayotiga katta ta’sir ko‘rsatgan. Ushbu maqolada O‘zbekiston hududida ilm-fan va madaniyatning yuksalishi, tarixiy rivojlanish bosqichlari, mashhur olimlar va ijodkorlarning hissasi, shuningdek madaniy merosning xalqaro miqyosdagi ahamiyati tahlil qilinadi. Tadqiqot tarixiy manbalar, arxeologik topilmalar va adabiyotlar tahliliga asoslangan. Natijalar shuni ko‘rsatadiki, ilm-fan va madaniyat rivojlanishi O‘zbekistonni mintaqaviy va global miqyosda tanilgan markazga aylantirgan va bugungi kun madaniy va ilmiy siyosatini shakllantirishda muhim rol o‘ynagan.
DOI: 10.15468/dl.kp8qqc
title: Occurrence Download

description: A dataset containing 203611 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aptenodytes patagonicus"
 ]
}

 The dataset includes 203611 records from 161 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001389-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dd.djaf95
title: Dataset generated from Esri tool

description: Derived dataset generated by Esri geoprocessing tool using GBIF API
DOI: 10.15468/dl.whsnyr
title: Occurrence Download

description: A dataset containing 13692 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 Sedum spathulifolium"
 ]
}

 The dataset includes 13692 records from 96 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001406-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n8q2s6
title: Occurrence Download

description: A dataset containing 895 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Taxus mairei (Lemée & Lév.) S.Y.Hu ex T.S.Liu",
 "Year 1000-2010"
 ]
}

 The dataset includes 895 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002891-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fbdu53
title: Occurrence Download

description: A dataset containing 89089862 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is United States of America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "StateProvince is california",
 "Year 1000-2023"
 ]
}

 The dataset includes 89089862 records from 867 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0116283-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n4znxl
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006926-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.