cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18241682
title: OYOQ-QO'L O'Q JAROHATLARIDA GENTAMITSINNING FARMAKOKINETIK NATIJALARI

description: Ushbu tadqiqot ekstremitalarda o'q jarohati bo'lgan bemorlarda gentamitsinning farmakokinetikasini o'rganadi. Bu masala dolzarbdir, chunki ekstremitalarga o'q otish jarohatlari infektsiyalar va sepsis kabi og'ir asoratlarga olib kelishi mumkin va ko'pincha antibiotiklarni, shu jumladan gentamitsinni qo'llashni talab qiladi. Ushbu maqolaning maqsadi oyoq-qo'llarining o'q jarohatlari bo'lgan bemorlarda gentamitsinning farmakokinetikasini o'rganish, xususan, ekstremitalarda o'q otgan bemorlarning qonida gentamitsin kontsentratsiyasini aniqlashdir. Ushbu maqsadga erishish uchun jarohatlar bo'limiga oyoq-qo'llarining o'q jarohatlari bilan yotqizilgan bir guruh bemorlar ustida tadqiqotlar o'tkazildi. Har bir bemor davolanishning turli bosqichlarida qondagi gentamitsin darajasini aniqlash uchun bir qator qon testlarini o'tkazdi. Ma'lumotlarni tahlil qilish uchun korrelyatsion tahlil va dispersiyani tahlil qilish kabi statistik usullardan foydalanilgan. Tadqiqotning asosiy natijasi shundan iboratki, gentamitsinning farmakokinetik ko'rsatkichlari ekstremitalarga o'q otgan bemorlarda shikastlanmagan to'qimalardan sezilarli darajada farq qiladi. Ekstremitalarda o'q otgan bemorlarda gentamitsinning qon darajasi shikastlanmagan bemorlarga qaraganda sezilarli darajada yuqori. Shu sababli, tadqiqot natijalari ekstremitalarda o'q jarohatlari bo'lgan bemorlar uchun gentamitsin dozasini aniqroq aniqlash imkonini beradi, bu esa bu bemorlar uchun yanada samarali davolash va prognozni yaxshilashga olib keladi. Ushbu tadqiqot, shuningdek, oyoq-qo'llarining o'q jarohatlari bilan og'rigan bemorlarni davolayotgan tibbiyot mutaxassislari uchun amaliy ahamiyatga ega bo'lishi mumkin va bu masala bo'yicha keyingi tadqiqotlarni osonlashtirishi mumkin.
DOI: 10.15468/dl.uf3p8x
title: Occurrence Download

description: A dataset containing 65339 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Funaria hygrometrica"
 ]
}

 The dataset includes 65339 records from 626 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008358-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9f58wh
title: Occurrence Download

description: A dataset containing 909 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"GRC.7.2_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 909 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008406-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a68md9
title: Occurrence Download

description: A dataset containing 156 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Quercus acutissima",
 "Year 1970-2000"
 ]
}

 The dataset includes 156 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008408-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ga2bkj
title: Occurrence Download

description: A dataset containing 92 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phlomis younghusbandii"
 ]
}

 The dataset includes 92 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008409-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18241687
title: Andropogon macrothrix Trin. 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.18241688
title: Andropogon macrothrix Trin. 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: 10.21979/n9/41zjb1
title: Replication Data for: Space-time superoscillations

description: Plots of spatiotemporal profiles, local wavevectors for toroidal and supertoroidal pulses. The dataset contains matlab codes (.txt) to generate the figures and the related data in (.mat).
DOI: 10.5281/zenodo.10653870
title: BSRLC+: An annual land cover dataset for the Baltic Sea Region with crop types and peat bogs at 30 m from 2000 to 2022

description: (NEW) Baltic Sea Region Land Cover Urban (BSRLC-U) focusing on urban built-up types now available: https://zenodo.org/records/17413880 

Baltic Sea Region Land Cover Plus (BSRLC+) is annual land cover mapping (30 m) dataset in Europe from 2000 to 2022. The maps contain detailed information of 18 land cover (LC) types, including 9 crop types and 2 peat bog types.

Input data : Optical multi-temporal remote sensing imageries (Landsat 5 (TM) / 7 (ETM+) / 8 (OLI) / 9 (OLI+) and Sentinel 2 (A / B ) from 2000 to 2022. Data is processed to surface reflectance and tiled into datacube structure using Framework for Operational Radiometric Correction for Environmental monitoring - FORCE.

Mapping method: Maps are produced using data encoding and deep learning classification according to Pham et al. 2024

Validation: Maps have been rigorously validated using independent in-situ data The Land Use/Cover Area frame Survey (LUCAS). 

Traing data and validation data are available: https://zenodo.org/records/11073291

This dataset contains:



00_preview.png: Preview map (2022) of the Baltic Sea region

BSRLC_{year}.tif: Annual map data (30 m) in GeoTIFF format (projection ETRS89 / EPSG:3035)

BSRLC_legend.xlss: Land cover codes and class names

BSRLC_qgis_style.qml: Map style to be used in QGIS

BSRLC_arcgis_style.lyrx: Map style to be used in ArcGIS


Land cover codes (can also be found in BSRLC_legend.xlss):



1: Built-up

2: Bareland

3: Water

4: Shrubland

5: Broadleaf forest

6: Coniferous forest

7: Wetland marsh

8: Exploited peat bog

9: Unexploited peat bog

10: Wheat

11: Barley

12: Rye

13: Oat

14: Maize

15: Seed crops

16: Root crops

17: Pulses, vegetable

18: Grassland

255: Nodata


 

Publication (please cite this publication if you are using the dataset):



Pham, V.-D., de Waard, F., Thiel, F., Bobertz, B., Hellmann, C., Nguyen, D.-V., Beer, F., Arasumani, M., Schwieder, M., Hartleib, J., Frantz, D., & van der Linden, S. (2024). An annual land cover dataset for the Baltic Sea Region with crop types and peat bogs at 30 m from 2000 to 2022. Scientific Data, 11, 1242, https://doi.org/10.1038/s41597-024-04062-w


 

Other related publications:



Pham, V.-D., Tetteh, G., Thiel, F., Erasmi, S., Schwieder, M., Frantz, D., & van der Linden, S. (2024). Temporally transferable crop mapping with temporal encoding and deep learning augmentations. International Journal of Applied Earth Observation and Geoinformation, 129, 103867, https://doi.org/10.1016/j.jag.2024.103867

Frantz, D. (2019). FORCE—Landsat + Sentinel-2 Analysis Ready Data and Beyond. Remote Sensing, 11, https://doi.org/10.3390/rs11091124


 

Funding

This datatset is created in the frame of the Interdisciplinary Research Center for the Baltic Sea Region Research (IFZO) of University of Greifswald, Germany, and the research project Fragmented Transformations, which is funded by the German Federal Ministry of Education and Research (FKZ 01UC2102).
DOI: 10.5281/zenodo.10653871
title: BSRLC+: An annual land cover dataset for the Baltic Sea Region with crop types and peat bogs at 30 m from 2000 to 2022

description: (NEW) Baltic Sea Region Land Cover Urban (BSRLC-U) focusing on urban built-up types now available: https://zenodo.org/records/17413880 

Baltic Sea Region Land Cover Plus (BSRLC+) is annual land cover mapping (30 m) dataset in Europe from 2000 to 2022. The maps contain detailed information of 18 land cover (LC) types, including 9 crop types and 2 peat bog types.

Input data : Optical multi-temporal remote sensing imageries (Landsat 5 (TM) / 7 (ETM+) / 8 (OLI) / 9 (OLI+) and Sentinel 2 (A / B ) from 2000 to 2022. Data is processed to surface reflectance and tiled into datacube structure using Framework for Operational Radiometric Correction for Environmental monitoring - FORCE.

Mapping method: Maps are produced using data encoding and deep learning classification according to Pham et al. 2024

Validation: Maps have been rigorously validated using independent in-situ data The Land Use/Cover Area frame Survey (LUCAS). 

Traing data and validation data are available: https://zenodo.org/records/11073291

This dataset contains:



00_preview.png: Preview map (2022) of the Baltic Sea region

BSRLC_{year}.tif: Annual map data (30 m) in GeoTIFF format (projection ETRS89 / EPSG:3035)

BSRLC_legend.xlss: Land cover codes and class names

BSRLC_qgis_style.qml: Map style to be used in QGIS

BSRLC_arcgis_style.lyrx: Map style to be used in ArcGIS


Land cover codes (can also be found in BSRLC_legend.xlss):



1: Built-up

2: Bareland

3: Water

4: Shrubland

5: Broadleaf forest

6: Coniferous forest

7: Wetland marsh

8: Exploited peat bog

9: Unexploited peat bog

10: Wheat

11: Barley

12: Rye

13: Oat

14: Maize

15: Seed crops

16: Root crops

17: Pulses, vegetable

18: Grassland

255: Nodata


 

Publication (please cite this publication if you are using the dataset):



Pham, V.-D., de Waard, F., Thiel, F., Bobertz, B., Hellmann, C., Nguyen, D.-V., Beer, F., Arasumani, M., Schwieder, M., Hartleib, J., Frantz, D., & van der Linden, S. (2024). An annual land cover dataset for the Baltic Sea Region with crop types and peat bogs at 30 m from 2000 to 2022. Scientific Data, 11, 1242, https://doi.org/10.1038/s41597-024-04062-w


 

Other related publications:



Pham, V.-D., Tetteh, G., Thiel, F., Erasmi, S., Schwieder, M., Frantz, D., & van der Linden, S. (2024). Temporally transferable crop mapping with temporal encoding and deep learning augmentations. International Journal of Applied Earth Observation and Geoinformation, 129, 103867, https://doi.org/10.1016/j.jag.2024.103867

Frantz, D. (2019). FORCE—Landsat + Sentinel-2 Analysis Ready Data and Beyond. Remote Sensing, 11, https://doi.org/10.3390/rs11091124


 

Funding

This datatset is created in the frame of the Interdisciplinary Research Center for the Baltic Sea Region Research (IFZO) of University of Greifswald, Germany, and the research project Fragmented Transformations, which is funded by the German Federal Ministry of Education and Research (FKZ 01UC2102).
DOI: 10.5281/zenodo.18241697
title: Andropogon microstachyus 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.18241698
title: Andropogon microstachyus 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.17600362
title: Vocal Mode Classification Dataset

description: A dataset for automatic vocal mode classification. Vocal modes were introduced by the Complete Vocal Technique (CVT), developed by Cathrin Sadolin. Upload for anonymous review.
DOI: 10.5281/zenodo.18241702
title: Andropogon neesii Trin. 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.18241703
title: Andropogon neesii Trin. 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: 10.15468/dl.wwtn2y
title: Occurrence Download

description: A dataset containing 291 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"GRC.7.3_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 291 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008410-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18241704
title: Andropogon neesii Kunth. 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.18241705
title: Andropogon neesii Kunth. 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.18241696
title: ISHLAB CHIKORISH XARAJATLARINI OPTIMALLASHTIRISHNING ZAMONAVIY YONDASHUVLARI

description: Ushbu maqolada ishlab chiqarish xarajatlarini optimallashtirishning zamonaviy yondoshuvlari tizimli tarzda tahlil qilinadi. Tadqiqotda lean manufacturing, Six Sigma, sanoat 4.0 texnologiyalari, ekologik va energiya samaradorligi yondoshuvlari ko‘rib chiqildi. Maqola natijalari shuni ko‘rsatadiki, integratsiyalashgan yondoshuv orqali korxona xarajatlarni kamaytirishi, ishlab chiqarish samaradorligini oshirishi va raqobatbardoshligini mustahkamlashi mumkin. Tadqiqot shuningdek xodimlarni boshqarish va tashkiliy omillarning ham muhimligini ta’kidlaydi.
DOI: 10.5281/zenodo.18241695
title: ISHLAB CHIKORISH XARAJATLARINI OPTIMALLASHTIRISHNING ZAMONAVIY YONDASHUVLARI

description: Ushbu maqolada ishlab chiqarish xarajatlarini optimallashtirishning zamonaviy yondoshuvlari tizimli tarzda tahlil qilinadi. Tadqiqotda lean manufacturing, Six Sigma, sanoat 4.0 texnologiyalari, ekologik va energiya samaradorligi yondoshuvlari ko‘rib chiqildi. Maqola natijalari shuni ko‘rsatadiki, integratsiyalashgan yondoshuv orqali korxona xarajatlarni kamaytirishi, ishlab chiqarish samaradorligini oshirishi va raqobatbardoshligini mustahkamlashi mumkin. Tadqiqot shuningdek xodimlarni boshqarish va tashkiliy omillarning ham muhimligini ta’kidlaydi.
DOI: 10.5281/zenodo.17430293
title: COVID-19 Multi-omics Data Integration using DIVAS: scRNA-seq, Proteomics, and Metabolomics from 114 Patient Samples

description: Multi-omics data and DIVAS integration results from 114 COVID-19 patients: scRNA-seq (4 cell types), proteomics (481 proteins), metabolomics (763 metabolites), and clinical metadata.

Files include DIVAS input matrices, pre-computed results, and cell-level annotations. See repository: https://github.com/ByronSyun/DIVAS_COVID19_CaseStudy.git

Original data derived from Su, Y., Chen, D., Yuan, D., et al. (2020). Multi-Omics Resolves a Sharp Disease-State Shift between Mild and Moderate COVID-19. Cell, 183(6), 1479-1495. https://doi.org/10.1016/j.cell.2020.10.037
DOI: 10.5281/zenodo.17430294
title: COVID-19 Multi-omics Data Integration using DIVAS: scRNA-seq, Proteomics, and Metabolomics from 114 Patient Samples

description: Multi-omics data and DIVAS integration results from 114 COVID-19 patients: scRNA-seq (4 cell types), proteomics (481 proteins), metabolomics (763 metabolites), and clinical metadata.

Files include DIVAS input matrices, pre-computed results, and cell-level annotations. See repository: https://github.com/ByronSyun/DIVAS_COVID19_CaseStudy.git

Original data derived from Su, Y., Chen, D., Yuan, D., et al. (2020). Multi-Omics Resolves a Sharp Disease-State Shift between Mild and Moderate COVID-19. Cell, 183(6), 1479-1495. https://doi.org/10.1016/j.cell.2020.10.037
DOI: 10.5281/zenodo.18241710
title: Andropogon palustris Pilg. 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.18241709
title: Andropogon palustris Pilg. 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: 10.15468/dl.cqm4t3
title: Occurrence Download

description: A dataset containing 273 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Croatia",
 "Geometry POLYGON((15.42718 44.7201,15.70991 44.7201,15.70991 45.02532,15.42718 45.02532,15.42718 44.7201))",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "TaxonKey is Fungi"
 ]
}

 The dataset includes 273 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008411-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4r66e8
title: Occurrence Download

description: A dataset containing 16485 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((113.59919 22.46627,114.23549 22.46627,114.23549 22.72079,113.59919 22.72079,113.59919 22.46627))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Egretta garzetta"
 ]
}

 The dataset includes 16485 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008412-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4xkudn
title: Occurrence Download

description: A dataset containing 156 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"GRC.8.1_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 156 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008413-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e244086
title: Bauchi State School Of Nursing (S.O.N.), General Hospital, Bauchi 2026/2027 ADMISSION FORM Is Out Call 09032974622

description: Bauchi State School Of Nursing (S.O.N.), General Hospital, Bauchi 2026/2027 ADMISSION FORM Is Out Call 09032974622 09032974622, Also For Transcript Collection Call 09032974622 for more details... The Management of the school hereby informs the general public on the sales of the general Nursing Admission form into the School of Nursing/Midwifery. And also the sales of the two (2) years Post Basic Nursing Programme. Contact the school Admin — DR MRS GRACE on 09032974622 for more details on how to purchase the form and register online.
DOI: 10.5281/zenodo.18241714
title: QISHLOQ XO'JALIK KOOPERATIVLARI YANGI IQTISODIY SIYOSATNING DASTLABKI YILLARI

description: Ushbu maqolada 1921–1925 yillarda yangi iqtisodiy siyosat (YIS) davrida qishloq xo‘jalik kooperativlarining shakllanishi, rivojlanishi va ularning iqtisodiyotdagi roli tahlil qilinadi. Kooperativlar agrar sektorning tiklanishida, dehqonlar va kichik ishlab chiqaruvchilarni jamlashda, shuningdek, bozor mexanizmlarini qo‘llash va qishloq aholisi daromadini oshirishda muhim rol o‘ynadi [1,2]. Maqolada kooperativlarning tashkil etilishi, ularning moliyaviy va ijtimoiy funksiyalari, shuningdek, YISning dastlabki yillarida ko‘rsatgan samarasi jadval ko‘rinishida taqdim etilgan.
DOI: 10.5281/zenodo.18241716
title: QISHLOQ XO'JALIK KOOPERATIVLARI YANGI IQTISODIY SIYOSATNING DASTLABKI YILLARI

description: Ushbu maqolada 1921–1925 yillarda yangi iqtisodiy siyosat (YIS) davrida qishloq xo‘jalik kooperativlarining shakllanishi, rivojlanishi va ularning iqtisodiyotdagi roli tahlil qilinadi. Kooperativlar agrar sektorning tiklanishida, dehqonlar va kichik ishlab chiqaruvchilarni jamlashda, shuningdek, bozor mexanizmlarini qo‘llash va qishloq aholisi daromadini oshirishda muhim rol o‘ynadi [1,2]. Maqolada kooperativlarning tashkil etilishi, ularning moliyaviy va ijtimoiy funksiyalari, shuningdek, YISning dastlabki yillarida ko‘rsatgan samarasi jadval ko‘rinishida taqdim etilgan.
DOI: 10.15468/dl.u8hbgg
title: Occurrence Download

description: A dataset containing 6053 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Conioselinum"
 ]
}

 The dataset includes 6053 records from 233 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008414-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18241676
title: Pareto Local Optimal Solutions Networks\\with Logarithmic Compression - Data and Plots

description: This repository contains the data and additional plots for the paper 'Pareto Local Optimal Solutions Networks\\with Logarithmic Compression'. 

The following files are included:



data.zip: features file and raw results presented in the paper;

networks.zip: additional plots of networks not in the paper.
DOI: 10.5281/zenodo.18241677
title: Pareto Local Optimal Solutions Networks\\with Logarithmic Compression - Data and Plots

description: This repository contains the data and additional plots for the paper 'Pareto Local Optimal Solutions Networks\\with Logarithmic Compression'. 

The following files are included:



data.zip: features file and raw results presented in the paper;

networks.zip: additional plots of networks not in the paper.
DOI: 10.5281/zenodo.18241742
title: Andropogon salzmannii (Trin. ex Steud.) Hack. 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.18241741
title: Andropogon salzmannii (Trin. ex Steud.) Hack. 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