cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18241886
title: ABORTNING ERTA ASORATLARI

description: Ushbu maqolada abort amaliyotidan so‘ng ayollarda kuzatiladigan erta asoratlarning turlari, chastotasi va ularni keltirib chiqaruvchi omillar tahlil qilingan. Tadqiqot RIO va BSIATMFVF da 40 nafar bemor ishtirokida o‘tkazildi. Ulardan 20 nafari medikamentoz abort, 12 nafari vakuum aspiratsiya, 6 nafari kuretaj va 2 nafari kechki abort o‘tkazgan ayollar bo‘ldi. Tadqiqot natijalariga ko‘ra, eng ko‘p uchraydigan erta asoratlar — qon ketish (22,5%), infeksion yallig‘lanish (17,5%) va psixologik buzilishlar (22%) ekanligi aniqlangan. Asoratlarning og‘irlik darajasi abort usuliga bevosita bog‘liq bo‘lib, kechki va jarrohlik usullarda u yuqoriroq qayd etildi. Mualliflar abortdan keyingi erta davrda tibbiy kuzatuv, antibiotik profilaktikasi va psixologik yordamni kuchaytirish zarurligini ta’kidlashadi.
DOI: 10.5281/zenodo.18241885
title: ABORTNING ERTA ASORATLARI

description: Ushbu maqolada abort amaliyotidan so‘ng ayollarda kuzatiladigan erta asoratlarning turlari, chastotasi va ularni keltirib chiqaruvchi omillar tahlil qilingan. Tadqiqot RIO va BSIATMFVF da 40 nafar bemor ishtirokida o‘tkazildi. Ulardan 20 nafari medikamentoz abort, 12 nafari vakuum aspiratsiya, 6 nafari kuretaj va 2 nafari kechki abort o‘tkazgan ayollar bo‘ldi. Tadqiqot natijalariga ko‘ra, eng ko‘p uchraydigan erta asoratlar — qon ketish (22,5%), infeksion yallig‘lanish (17,5%) va psixologik buzilishlar (22%) ekanligi aniqlangan. Asoratlarning og‘irlik darajasi abort usuliga bevosita bog‘liq bo‘lib, kechki va jarrohlik usullarda u yuqoriroq qayd etildi. Mualliflar abortdan keyingi erta davrda tibbiy kuzatuv, antibiotik profilaktikasi va psixologik yordamni kuchaytirish zarurligini ta’kidlashadi.
DOI: 10.15468/dl.9dqxch
title: Occurrence Download

description: A dataset containing 61 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"IND.2.6_1","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 61 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008444-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.71732/fojwcb/qacz8a
title: SN258_INT_31.docx

description: Data (it)
DOI: 10.5281/zenodo.18241893
title: Andropogon virgatus Desv. ex Ham. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:42
DOI: 10.5281/zenodo.18241894
title: Andropogon virgatus Desv. ex Ham. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:42
DOI: 10.71732/fojwcb/ikzqtm
title: SN258_INT_36.docx

description: Data (it)
DOI: 10.71732/fojwcb/mo1kum
title: SN258_INT_35.docx

description: Data (it)
DOI: 10.71732/fojwcb/exbxhw
title: SN258_INT_01.docx

description: Data (it)
DOI: 10.71732/fojwcb/qh2s0n
title: SN258_INT_22.docx

description: Data (it)
DOI: 10.71732/fojwcb/dzepk7
title: SN258_INT_05.docx

description: Data (it)
DOI: 10.71732/fojwcb/r35ovl
title: SN258_INT_25.docx

description: Data (it)
DOI: 10.71732/fojwcb/s3n62l
title: SN258_INT_28.docx

description: Data (it)
DOI: 10.71732/fojwcb/cnnnoz
title: SN258_INT_09.docx

description: Data (it)
DOI: 10.71732/fojwcb/uspsep
title: SN258_INT_41.docx

description: Data (it)
DOI: 10.71732/fojwcb/aotqbx
title: SN258_INT_32.docx

description: Data (it)
DOI: 10.71732/fojwcb/kfbdnk
title: SN258_INT_40.docx

description: Data (it)
DOI: 10.71732/fojwcb/nqp2tr
title: SN258_INT_16.docx

description: Data (it)
DOI: 10.71732/fojwcb/q4bbim
title: SN258_INT_02.docx

description: Data (it)
DOI: 10.71732/fojwcb/uxo1z6
title: SN258_INT_11.docx

description: Data (it)
DOI: 10.6084/m9.figshare.31064563
title: Metabolic Reprogramming and Tunneling Nanotubes Cooperate to Regulate HIV-1 Latency Reactivation

description: HIV-1 latency in myeloid cells remains a major obstacle to viral eradication. Here, we applied a systems biology approach combining transcriptomics, proteomics, metabolic modeling, targeted metabolite profiling, and advanced imaging to investigate metabolic alterations in a pre-monocytic latent cell model (U1). Upon latency reversal, we identified disrupted α-ketoglutarate (AKG) homeostasis driven by mitochondrial biogenesis and glutamine/glutamate metabolism, supporting energy production and M2-like macrophage polarization. Reporter metabolite analysis predicted cytoplasmic amino acid accumulation, and functional assays showed that tryptophan suppressed HIV reactivation by promoting mitochondrial and antioxidant metabolism. Additionally, we observed enhanced formation of tunneling nanotubes (TNTs), which facilitated intercellular transfer of mitochondria and viral components, potentially aiding viral persistence. Our study reveals cell-type–specific metabolic reprogramming and intercellular communication mechanisms underlying HIV-1 persistence. Our findings highlight the glutamine-AKG axis and TNTs as promising targets for strategies aimed at eliminating long-lived macrophage-associated HIV reservoirs.
DOI: 10.6084/m9.figshare.31064563.v1
title: Metabolic Reprogramming and Tunneling Nanotubes Cooperate to Regulate HIV-1 Latency Reactivation

description: HIV-1 latency in myeloid cells remains a major obstacle to viral eradication. Here, we applied a systems biology approach combining transcriptomics, proteomics, metabolic modeling, targeted metabolite profiling, and advanced imaging to investigate metabolic alterations in a pre-monocytic latent cell model (U1). Upon latency reversal, we identified disrupted α-ketoglutarate (AKG) homeostasis driven by mitochondrial biogenesis and glutamine/glutamate metabolism, supporting energy production and M2-like macrophage polarization. Reporter metabolite analysis predicted cytoplasmic amino acid accumulation, and functional assays showed that tryptophan suppressed HIV reactivation by promoting mitochondrial and antioxidant metabolism. Additionally, we observed enhanced formation of tunneling nanotubes (TNTs), which facilitated intercellular transfer of mitochondria and viral components, potentially aiding viral persistence. Our study reveals cell-type–specific metabolic reprogramming and intercellular communication mechanisms underlying HIV-1 persistence. Our findings highlight the glutamine-AKG axis and TNTs as promising targets for strategies aimed at eliminating long-lived macrophage-associated HIV reservoirs.
DOI: 10.15468/dl.bwsbwx
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Andrena boronensis Linsley & MacSwain, 1962"
 ]
}

 The dataset includes 35 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000395-250424135625364/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.29123102
title: Rapid shallowing can trigger dramatic ecological changes and challenges within and beyond arid, nutrient-rich lakes

description: Data used for the "Rapid shallowing can trigger dramatic ecological changes and challenges within and beyond arid, nutrient-rich lakes" manuscript.In addition to data generated from this study,Fig. 1 data modified after Hung, C., Diamond, C., Sinclair, R., Lee, I., Stenstrom, M., Freilich, M. A., Montgomery, Q., Marquez, C. & Lyons, T. Nutrient loading as a key cause of short- and long-term anthropogenic ecological degradation of the Salton Sea. <i>Sci. Rep.</i> <b>14</b>, 31247 (2024) and Sherwood, J. E., Stagnitti, F., Kokkinn, M. J. & Williams, W. D. Dissolved oxygen concentrations in hypersaline waters. <i>Limnol. Oceanogr.</i> <b>36</b>, 235–250 (1991).<br>Fig. 2 and 5 data were adapted from Schroeder, Roy A., William H. Orem, and Yousif K. Kharaka. "Chemical evolution of the Salton Sea, California: nutrient and selenium dynamics." <i>The Salton Sea: Proceedings of the Salton Sea Symposium, held in Desert Hot Springs, California, 13–14 January 2000</i>. Springer Netherlands, 2002. and Reese, Brandi Kiel, Michael A. Anderson, and Christopher Amrhein. "Hydrogen sulfide production and volatilization in a polymictic eutrophic saline lake, Salton Sea, California." <i>Science of the total environment</i> 406.1-2 (2008): 205-218.Fig. 4 data was adapted from Ma, Jinge, et al. "Spatiotemporal pattern of gypsum blooms in the Salton Sea, California, during 2000-2018." <i>International Journal of Applied Earth Observation and Geoinformation</i> 89 (2020): 102090.
DOI: 10.15468/dl.4agkaa
title: Occurrence Download

description: A dataset containing 55054 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((139.6972 -9.567948, 142.576 -9.567948, 142.576 -7.427288, 139.6972 -7.427288, 139.6972 -9.567948))"
 ]
}

 The dataset includes 55054 records from 172 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012919-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cd5cqt
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is New Zealand",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Sargassum pacificum Bory, 1828"
 ]
}

 The dataset includes 17 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006160-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9dyrp7
title: Occurrence Download

description: A dataset containing 277555 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Netherlands",
 "OccurrenceStatus is Present",
 "TaxonKey is Apus apus"
 ]
}

 The dataset includes 277555 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028897-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zh68dm
title: Occurrence Download

description: A dataset containing 113254 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Calanus finmarchicus"
 ]
}

 The dataset includes 113254 records from 124 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028899-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17630/0d50c108-0ebc-4701-91e9-0d9a1fb7f8db
title: Effect of annealing on exciton diffusion in a high performance small molecule organic photovoltaic material (dataset)
DOI: 10.15468/dl.gvydfs
title: Occurrence Download

description: A dataset containing 50 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-113.2188 30.44913, -113.0688 30.44913, -113.0688 30.59913, -113.2188 30.59913, -113.2188 30.44913))"
 ]
}

 The dataset includes 50 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037135-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7p2bmh
title: Occurrence Download

description: A dataset containing 241 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-113.0688 30.44913, -112.9188 30.44913, -112.9188 30.59913, -113.0688 30.59913, -113.0688 30.44913))"
 ]
}

 The dataset includes 241 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037137-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.785766
title: Occurrence Download

description: A dataset containing 93 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-112.9188 30.44913, -112.7688 30.44913, -112.7688 30.59913, -112.9188 30.59913, -112.9188 30.44913))"
 ]
}

 The dataset includes 93 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037138-251025141854904/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.28817672
title: A Hybrid Analytical Framework for Exploring Dengue Incidence and Climatic Correlations in Peninsular Malaysia Using ARDL-SVM and Spatial Clustering

description: This study presents a hybrid analytical framework designed to investigate the complex relationships between climatic variables and dengue incidence across districts in Peninsular Malaysia. By integrating Autoregressive Distributed Lag (ARDL) models with Support Vector Machine (SVM) techniques, the framework leverages both traditional econometric modeling and machine learning to enhance the predictive performance of dengue outbreaks based on temperature, humidity, and rainfall.The research utilizes historical time-series data (2013–2020) for model training, with 2021 data reserved for validation. The ARDL component identifies the statistically significant lagged effects of climatic variables on dengue cases, while the SVM refines the nonlinear patterns and improves forecasting accuracy. To assess spatial variation, Local Indicators of Spatial Association (LISA) are employed to detect spatial clusters and outliers in both observed and forecasted dengue incidence values.Furthermore, the study includes an innovative weighting approach to quantify the impact of climatic factors at the district level by combining ARDL-derived coefficients with the standard deviation of climate and dengue variables. These impact values are then categorized into three levels (low, medium, and high), providing a spatially explicit understanding of climate sensitivity on dengue transmission.The results highlight significant spatial heterogeneity, with urban districts generally exhibiting higher root mean square error (RMSE) values due to population density and intervention complexities, while rural districts showed more climate-driven transmission patterns. The integrated ARDL-SVM-LISA framework demonstrates its potential as a robust tool for early warning systems, targeted interventions, and public health policy planning.
DOI: 10.6084/m9.figshare.28817672.v2
title: A Hybrid Analytical Framework for Exploring Dengue Incidence and Climatic Correlations in Peninsular Malaysia Using ARDL-SVM and Spatial Clustering

description: This study presents a hybrid analytical framework designed to investigate the complex relationships between climatic variables and dengue incidence across districts in Peninsular Malaysia. By integrating Autoregressive Distributed Lag (ARDL) models with Support Vector Machine (SVM) techniques, the framework leverages both traditional econometric modeling and machine learning to enhance the predictive performance of dengue outbreaks based on temperature, humidity, and rainfall.The research utilizes historical time-series data (2013–2020) for model training, with 2021 data reserved for validation. The ARDL component identifies the statistically significant lagged effects of climatic variables on dengue cases, while the SVM refines the nonlinear patterns and improves forecasting accuracy. To assess spatial variation, Local Indicators of Spatial Association (LISA) are employed to detect spatial clusters and outliers in both observed and forecasted dengue incidence values.Furthermore, the study includes an innovative weighting approach to quantify the impact of climatic factors at the district level by combining ARDL-derived coefficients with the standard deviation of climate and dengue variables. These impact values are then categorized into three levels (low, medium, and high), providing a spatially explicit understanding of climate sensitivity on dengue transmission.The results highlight significant spatial heterogeneity, with urban districts generally exhibiting higher root mean square error (RMSE) values due to population density and intervention complexities, while rural districts showed more climate-driven transmission patterns. The integrated ARDL-SVM-LISA framework demonstrates its potential as a robust tool for early warning systems, targeted interventions, and public health policy planning.
DOI: 10.6084/m9.figshare.28817672.v3
title: A Hybrid Analytical Framework for Exploring Dengue Incidence and Climatic Correlations in Peninsular Malaysia Using ARDL-SVM and Spatial Clustering

description: This study presents a hybrid analytical framework designed to investigate the complex relationships between climatic variables and dengue incidence across districts in Peninsular Malaysia. By integrating Autoregressive Distributed Lag (ARDL) models with Support Vector Machine (SVM) techniques, the framework leverages both traditional econometric modeling and machine learning to enhance the predictive performance of dengue outbreaks based on temperature, humidity, and rainfall.The research utilizes historical time-series data (2013–2020) for model training, with 2021 data reserved for validation. The ARDL component identifies the statistically significant lagged effects of climatic variables on dengue cases, while the SVM refines the nonlinear patterns and improves forecasting accuracy. To assess spatial variation, Local Indicators of Spatial Association (LISA) are employed to detect spatial clusters and outliers in both observed and forecasted dengue incidence values.Furthermore, the study includes an innovative weighting approach to quantify the impact of climatic factors at the district level by combining ARDL-derived coefficients with the standard deviation of climate and dengue variables. These impact values are then categorized into three levels (low, medium, and high), providing a spatially explicit understanding of climate sensitivity on dengue transmission.The results highlight significant spatial heterogeneity, with urban districts generally exhibiting higher root mean square error (RMSE) values due to population density and intervention complexities, while rural districts showed more climate-driven transmission patterns. The integrated ARDL-SVM-LISA framework demonstrates its potential as a robust tool for early warning systems, targeted interventions, and public health policy planning.
DOI: 10.15468/dl.zd8p4k
title: Occurrence Download

description: A dataset containing 1259 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-114.7188 30.59913, -114.5688 30.59913, -114.5688 30.74913, -114.7188 30.74913, -114.7188 30.59913))"
 ]
}

 The dataset includes 1259 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037139-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h5xycr
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Peru",
 "GadmGid is PER.3_1",
 "TaxonKey is Galium"
 ]
}

 The dataset includes 9 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037140-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17620599
title: Intensity-PGA ground motion data set for Colombia

description: This dataset contains the complete set of information used to develop empirical relationships between Peak Ground Acceleration (PGA) and macroseismic intensity (I) for earthquakes in Colombia. The dataset was created and processed as part of the study “Empirical Relationship Between the Strong-Motion Parameter PGA and Macroseismic Intensity for Earthquakes in Colombia”, presented at the XI Colombian Earthquake Engineering Conference (2024)

The dataset includes instrumental ground-motion records and macroseismic intensity observations from ten historical earthquakes that occurred between 1994 and 2016, with magnitudes ranging from Mw 5.3 to 7.2. By matching accelerograph stations with municipalities reporting intensity values, 62 PGA–Intensity pairs were obtained and manually validated using distance and topographic similarity criteria.

The dataset provides coordinates, PGA values from multiple components, EMS-98 and MM intensity assignments, and additional metadata for each event. These data enable reproduction of the regression analyses developed in the study, exploration of alternative empirical models, assessment of regional dependencies, and integration into seismic hazard or rapid damage-estimation applications.

This dataset aims to support transparency, reproducibility of the data, facilitating comparisons with global studies and promoting further research on historical seismicity and ground-motion parameters in Colombia.
DOI: 10.15468/dl.seb2ue
title: Occurrence Download

description: A dataset containing 61 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-114.5688 30.59913, -114.4188 30.59913, -114.4188 30.74913, -114.5688 30.74913, -114.5688 30.59913))"
 ]
}

 The dataset includes 61 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037141-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7kg4jp
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-114.4188 30.59913, -114.2688 30.59913, -114.2688 30.74913, -114.4188 30.74913, -114.4188 30.59913))"
 ]
}

 The dataset includes 44 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037142-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.npud7q
title: Occurrence Download

description: A dataset containing 64 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-114.2688 30.59913, -114.1188 30.59913, -114.1188 30.74913, -114.2688 30.74913, -114.2688 30.59913))"
 ]
}

 The dataset includes 64 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037144-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.