cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18773096
title: HARMONIZATION OF THE LEGISLATION OF THE REPUBLIC OF UZBEKISTAN IN THE FIELD OF DIGITAL TRADE IN THE CONTEXT OF ACCESSION TO THE WORLD TRADE ORGANIZATION

description: This paper examines the legal aspects of the harmonization of the legislation of the Republic of Uzbekistan in the field of digital trade in the context of its accession to the World Trade Organization (WTO). It analyzes the obligations arising from the General Agreement on Trade in Services (GATS), the Agreement on Trade-Related Aspects of Intellectual Property Rights (TRIPS), as well as the principles of most-favored-nation treatment and national treatment. The paper substantiates the need to develop a comprehensive regulatory framework for digital trade that ensures a balanced approach between international obligations and national interests.
DOI: 10.5281/zenodo.18773095
title: HARMONIZATION OF THE LEGISLATION OF THE REPUBLIC OF UZBEKISTAN IN THE FIELD OF DIGITAL TRADE IN THE CONTEXT OF ACCESSION TO THE WORLD TRADE ORGANIZATION

description: This paper examines the legal aspects of the harmonization of the legislation of the Republic of Uzbekistan in the field of digital trade in the context of its accession to the World Trade Organization (WTO). It analyzes the obligations arising from the General Agreement on Trade in Services (GATS), the Agreement on Trade-Related Aspects of Intellectual Property Rights (TRIPS), as well as the principles of most-favored-nation treatment and national treatment. The paper substantiates the need to develop a comprehensive regulatory framework for digital trade that ensures a balanced approach between international obligations and national interests.
DOI: 10.5281/zenodo.18772988
title: Data for Vanham et al: Sectoral water demand data for the year 2020 covering the African continent in high spatial resolution

description: The International Water Management Institute (IWMI) developed an Africa-wide water demand (WD) analysis for the year 2020, in unprecedented spatial and (sub)sectoral detail, accounting for six different sectors including multiple subsectors.

The resulting sectoral WD data are here provided open access.

Sectoral water demand (WD) data

We account for the sectors:



municipal WD (piped and non-piped population) in 2,5 arc-minutes resolution

irrigation WD for 46 SPAM (Spatial Production Allocation Model) crops and major crop groupings

livestock WD (six classes: buffaloes, cattle, chickens, goats, pigs and sheep)

manufacturing industry WD, in 2,5 arc-minutes resolution, differentiating between several sub-sectors

electricity production WD at 2,534 individual power plants, for ten different fuel types, i.e. the fossil fuels coal, oil and gas, the renewables hydropower, solar, wind, biomass and geothermal as well as two other fuel types (nuclear and waste heat)

mining WD, for 682 individual mines, differentiating between 34 main commodities


Please use only the most recent versionFile description:

The data-set consists of the following files:



SI1: SI1_WD-National-Subnational-Basin.xlsx(Sub)sectoral WD data on the national, subnational (GADM level1) and river basin level, year 2020

SI2: SI2_WD-GRID-5arcmin.zip(Sub)sectoral WD data on the grid level (5 arc minutes), year 2020

SI3: SI3_WD-Rasters.zipGIS-rasters for selected (Sub)sectoral WD data (5 arc minutes), year 2020

SI4: SI4_WDmun_2,5arcmin.xlsMunicipal WD on the grid level (2,5 arc minutes), year 2020

SI5: SI5_WD-Mining_Africa.xlsPoint database mining WD, year 2020

SI6: SI6_WDmanind.xlsxNational sub-sectoral data for manufacturing industry WD, year 2020

SI7: SI07_WDindman_2,5arcmin.zipGIS-raster (2,5 arc minutes) for manufacturing industry WD, year 2020

SI8: SI8_WD2010-GRID-5arcmin.zip(Sub)sectoral WD data on the grid level (5 arc minutes), year 2010

SI9: SI9_WD2010-Rasters.zipGIS-rasters for selected (Sub)sectoral WD data (5 arc minutes), year 2010

SI10: SI10_WDmun2010_2,5arcmin.xlsxMunicipal WD on the grid level (2,5 arc minutes), year 2010

SI11: SI11_WDelec_points.xlsxWD electricity, individual power plants, years 2020 and 2010


 

Funding

This work was carried out under the CGIAR Initiative on Foresight (www.cgiar.org/initiative/foresight) as well as the CGIAR Science Program on Policy Innovations (www.cgiar.org/cgiar-research-porfolio-2025-2030/policy-innovations). We would like to thank all funders who supported this research through their contributions to the CGIAR Trust Fund (www.cgiar.org/funders).
DOI: 10.5281/zenodo.15461755
title: Data for Vanham et al: Sectoral water demand data for the year 2020 covering the African continent in high spatial resolution

description: The International Water Management Institute (IWMI) developed an Africa-wide water demand (WD) analysis for the year 2020, in unprecedented spatial and (sub)sectoral detail, accounting for six different sectors including multiple subsectors.

The resulting sectoral WD data are here provided open access.

Sectoral water demand (WD) data

We account for the sectors:



municipal WD (piped and non-piped population) in 2,5 arc-minutes resolution

irrigation WD for 46 SPAM (Spatial Production Allocation Model) crops and major crop groupings

livestock WD (six classes: buffaloes, cattle, chickens, goats, pigs and sheep)

manufacturing industry WD, in 2,5 arc-minutes resolution, differentiating between several sub-sectors

electricity production WD at 2,534 individual power plants, for ten different fuel types, i.e. the fossil fuels coal, oil and gas, the renewables hydropower, solar, wind, biomass and geothermal as well as two other fuel types (nuclear and waste heat)

mining WD, for 682 individual mines, differentiating between 34 main commodities


Please use only the most recent versionFile description:

The data-set consists of the following files:



SI1: SI1_WD-National-Subnational-Basin.xlsx(Sub)sectoral WD data on the national, subnational (GADM level1) and river basin level, year 2020

SI2: SI2_WD-GRID-5arcmin.zip(Sub)sectoral WD data on the grid level (5 arc minutes), year 2020

SI3: SI3_WD-Rasters.zipGIS-rasters for selected (Sub)sectoral WD data (5 arc minutes), year 2020

SI4: SI4_WDmun_2,5arcmin.xlsMunicipal WD on the grid level (2,5 arc minutes), year 2020

SI5: SI5_WD-Mining_Africa.xlsPoint database mining WD, year 2020

SI6: SI6_WDmanind.xlsxNational sub-sectoral data for manufacturing industry WD, year 2020

SI7: SI07_WDindman_2,5arcmin.zipGIS-raster (2,5 arc minutes) for manufacturing industry WD, year 2020

SI8: SI8_WD2010-GRID-5arcmin.zip(Sub)sectoral WD data on the grid level (5 arc minutes), year 2010

SI9: SI9_WD2010-Rasters.zipGIS-rasters for selected (Sub)sectoral WD data (5 arc minutes), year 2010

SI10: SI10_WDmun2010_2,5arcmin.xlsxMunicipal WD on the grid level (2,5 arc minutes), year 2010

SI11: SI11_WDelec_points.xlsxWD electricity, individual power plants, years 2020 and 2010


 

Funding

This work was carried out under the CGIAR Initiative on Foresight (www.cgiar.org/initiative/foresight) as well as the CGIAR Science Program on Policy Innovations (www.cgiar.org/cgiar-research-porfolio-2025-2030/policy-innovations). We would like to thank all funders who supported this research through their contributions to the CGIAR Trust Fund (www.cgiar.org/funders).
DOI: 10.15468/dl.9wnhk3
title: Occurrence Download

description: A dataset containing 409 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhinolophus borneensis"
 ]
}

 The dataset includes 409 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000194-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9j87yw
title: Occurrence Download

description: A dataset containing 2547 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Material sample, Specimen)",
 "Continent is one of (North America, South America)",
 "Geometry POLYGON((-74.28524 29.41646,-69.39547 40.79171,-84.94716 52.54188,-131.25668 59.45375,-136.44058 50.81392,-123.28395 43.85585,-126.73989 34.87041,-121.55598 28.30415,-95.71203 9.37206,-88.10898 -6.87083,-92.25609 -42.12134,-73.24847 -61.12896,-58.38796 -58.36422,-35.9244 -37.28304,-26.59339 -9.28998,-74.28524 29.41646))",
 "TaxonKey is Lutzomyia longipalpis",
 "Year 1970-2026"
 ]
}

 The dataset includes 2547 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000196-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18773231
title: HELICOBACTERPYLORIINFECTION:DIAGNOSTICAPPROACHES,THERAPEUTICSTRATEGIESANDPREVALANCEINTHEPOPULATIONOFBHUKHARA:AREVIEWARTICLE

description: Helicobacterpylori(H.pylori)infectionisoneofthemostprevalentchronicbacterialinfectionsworldwideandrepresentsamajorcauseofgastrointestinalmorbidity.Theorganismisstronglyassociatedwithchronicgastritis,pepticulcerdisease,mucosa-associatedlymphoidtissuelymphoma,andgastriccarcinoma.Despiteimprovementsindiagnostictechniquesandtherapeuticregimens,eradicationremainschallengingduetorisingantimicrobialresistanceandmarkedregionalvariationinprevalence.Thisreviewsummarizestheepidemiology,pathogenesis,clinicalmanifestations,diagnosticapproaches,andtreatmentstrategiesforH.pylori,withparticularemphasisonitsprevalenceamongthepopulationofBukhara.Understandingregionalepidemiologicalpatternsisessentialforoptimizingdiagnosticandtreatmentstrategies
DOI: 10.5281/zenodo.18773230
title: HELICOBACTERPYLORIINFECTION:DIAGNOSTICAPPROACHES,THERAPEUTICSTRATEGIESANDPREVALANCEINTHEPOPULATIONOFBHUKHARA:AREVIEWARTICLE

description: Helicobacterpylori(H.pylori)infectionisoneofthemostprevalentchronicbacterialinfectionsworldwideandrepresentsamajorcauseofgastrointestinalmorbidity.Theorganismisstronglyassociatedwithchronicgastritis,pepticulcerdisease,mucosa-associatedlymphoidtissuelymphoma,andgastriccarcinoma.Despiteimprovementsindiagnostictechniquesandtherapeuticregimens,eradicationremainschallengingduetorisingantimicrobialresistanceandmarkedregionalvariationinprevalence.Thisreviewsummarizestheepidemiology,pathogenesis,clinicalmanifestations,diagnosticapproaches,andtreatmentstrategiesforH.pylori,withparticularemphasisonitsprevalenceamongthepopulationofBukhara.Understandingregionalepidemiologicalpatternsisessentialforoptimizingdiagnosticandtreatmentstrategies
DOI: 10.15468/dl.34k2yw
title: Occurrence Download

description: A dataset containing 177946 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Plantae, Aves, Insecta)",
 "Geometry MULTIPOLYGON (((23.76238 38.11825, 23.76599 38.13597, 23.7544 38.13597, 23.7526 38.12711, 23.74102 38.12711, 23.73922 38.11825, 23.72764 38.11825, 23.72405 38.10054, 23.71247 38.10054, 23.71067 38.09168, 23.68752 38.09168, 23.68393 38.07397, 23.69551 38.07397, 23.69192 38.05626, 23.68035 38.05626, 23.67856 38.0474, 23.66699 38.0474, 23.66341 38.0297, 23.65184 38.0297, 23.65006 38.02084, 23.63849 38.02084, 23.63314 37.99428, 23.62157 37.99428, 23.61801 37.97658, 23.60644 37.97658, 23.60466 37.96773, 23.56997 37.96773, 23.57174 37.97658, 23.56018 37.97658, 23.5584 37.96773, 23.54684 37.96773, 23.54329 37.95003, 23.55486 37.95003, 23.55308 37.94118, 23.57621 37.94118, 23.57443 37.93233, 23.59756 37.93233, 23.59933 37.94118, 23.6109 37.94118, 23.60912 37.93233, 23.62068 37.93233, 23.61891 37.92348, 23.65359 37.92348, 23.65537 37.93233, 23.67849 37.93233, 23.67671 37.92348, 23.68827 37.92348, 23.68649 37.91463, 23.69805 37.91463, 23.69627 37.90579, 23.70783 37.90579, 23.70427 37.88809, 23.71583 37.88809, 23.71227 37.8704, 23.72382 37.8704, 23.72204 37.86155, 23.7336 37.86155, 23.73004 37.84386, 23.74159 37.84386, 23.73982 37.83501, 23.76292 37.83501, 23.76114 37.82617, 23.78424 37.82617, 23.79137 37.86155, 23.77982 37.86155, 23.7816 37.8704, 23.77005 37.8704, 23.77361 37.88809, 23.78517 37.88809, 23.78696 37.89694, 23.7754 37.89694, 23.77718 37.90579, 23.76563 37.90579, 23.77814 37.96773, 23.78971 37.96773, 23.7915 37.97658, 23.80307 37.97658, 23.80486 37.98543, 23.83956 37.98543, 23.83776 37.97658, 23.8609 37.97658, 23.86269 37.98543, 23.87426 37.98543, 23.87606 37.99428, 23.88763 37.99428, 23.89123 38.01199, 23.87966 38.01199, 23.88147 38.02084, 23.86989 38.02084, 23.8717 38.0297, 23.86013 38.0297, 23.86734 38.06511, 23.84419 38.06511, 23.84599 38.07397, 23.83442 38.07397, 23.83983 38.10054, 23.82825 38.10054, 23.83006 38.10939, 23.81848 38.10939, 23.81667 38.10054, 23.78194 38.10054, 23.78374 38.10939, 23.77216 38.10939, 23.77396 38.11825, 23.76238 38.11825)))"
 ]
}

 The dataset includes 177946 records from 162 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000129-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2a3ks8
title: Occurrence Download

description: A dataset containing 141 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Diphylla ecaudata"
 ]
}

 The dataset includes 141 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000197-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18483027
title: Zedtool: automated quality control and robust fiducial-based correction for sequential SMLM. Example data set.

description: Example data for zedtool

This dataset provides example input data for use with zedtool: https://github.com/3DGenomes/zedtool

The data are intended for tutorials, demonstrations, and testing of the software, and are not part of any publication.

Use



Download and install zedtool following the instructions in the GitHub repository.

Download and extract this dataset. It should create the following directory structure:


├── example_1/

├── example_2/

├── example_3/

├── README.md

├── run_examples.bat

└── run_examples.sh



Run the provided script:



run_examples.sh (Linux / macOS)

run_examples.bat (Windows)




Each example directory contains a self-contained dataset demonstrating a typical zedtool workflow.

Compatibility

Tested with zedtool v0.41.

Acknowledgement

Example 3 reads the file d2_bead_locs.csv, from the following dataset: https://zenodo.org/records/15407010

The data are used here under the terms of the original license.

License

This dataset is licensed under theCreative Commons Attribution 4.0 International (CC BY 4.0) license.

https://creativecommons.org/licenses/by/4.0/

If you use these data, please cite the corresponding Zenodo record.
DOI: 10.5281/zenodo.18483026
title: Zedtool: automated quality control and robust fiducial-based correction for sequential SMLM. Example data set.

description: Example data for zedtool

This dataset provides example input data for use with zedtool: https://github.com/3DGenomes/zedtool

The data are intended for tutorials, demonstrations, and testing of the software, and are not part of any publication.

Use



Download and install zedtool following the instructions in the GitHub repository.

Download and extract this dataset. It should create the following directory structure:


├── example_1/

├── example_2/

├── example_3/

├── README.md

├── run_examples.bat

└── run_examples.sh



Run the provided script:



run_examples.sh (Linux / macOS)

run_examples.bat (Windows)




Each example directory contains a self-contained dataset demonstrating a typical zedtool workflow.

Compatibility

Tested with zedtool v0.41.

Acknowledgement

Example 3 reads the file d2_bead_locs.csv, from the following dataset: https://zenodo.org/records/15407010

The data are used here under the terms of the original license.

License

This dataset is licensed under theCreative Commons Attribution 4.0 International (CC BY 4.0) license.

https://creativecommons.org/licenses/by/4.0/

If you use these data, please cite the corresponding Zenodo record.
DOI: 10.15468/dl.2mnp8d
title: Occurrence Download

description: A dataset containing 4150 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "MediaType is Image",
 "TaxonKey is Ailanthus altissima"
 ]
}

 The dataset includes 4150 records from 189 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000201-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/aviszm
title: Varieties of Truth Commissions

description: The Varieties of Truth Commissions is a series of datasets that jointly capture: (1) the universe of national-level truth commissions, (2) their mandates and investigative powers, (3) their recommendations, and (4) levels of implementation across recommendations. 

The Varieties of Truth Commissions identifies 84 truth commissions established in transitional and non-transitional political contexts between 1970 and 2018. Data on mandates and investigative powers are available for 74 commissions. Data on recommendations are available for 55 commissions. Data on implementation of recommendations are available for Guatemala, South Africa, and Timor-Leste.

Governing Truth: NGOs and the Politics of Transitional Justice leverages these data to explain variation in truth commission adoption, design, and implementation and follow-up around the world. The book and its online appendix are available from Oxford University Press. 

Any updates to the Varieties of Truth Commissions will be published online at dataverse.harvard.edu/dataverse/zvobgo.
description: Stata/SE, 14.2 for Mac (64-bit Intel)
description: R, 4.4.2 (2024-10-31) -- "Pile of Leaves"
DOI: 10.5281/zenodo.18773256
title: INTEGRATION OF TECHNICAL TRAINING AIDS (TTA) INTO THE SHOOTING PREPARATION OF STUDENT BIATHLETES

description: This paper addresses актуal issues related to improving the methodology of teaching technical and tactical actions to student biathletes engaged in summer biathlon on roller skis under the conditions of the Republic of Uzbekistan. The necessity of integrating technical training aids and rhythm-structural complexes across five intensity zones into the structure of the annual training cycle, particularly during the transition and preparatory periods, is substantiated.

A methodology for shooting and motor training aimed at improving shooting accuracy, speed endurance, and functional stability of athletes was developed and experimentally tested. The results of the pedagogical experiment demonstrated a significant improvement in race time, increased shooting accuracy, reduced number of technical errors, and decreased heart rate before shooting execution.

The obtained data confirm the effectiveness of the comprehensive application of modern technical training aids and a scientifically grounded structure of the training process for developing stable technical and tactical skills in student biathletes and improving their competitive performance.
DOI: 10.5281/zenodo.18773255
title: INTEGRATION OF TECHNICAL TRAINING AIDS (TTA) INTO THE SHOOTING PREPARATION OF STUDENT BIATHLETES

description: This paper addresses актуal issues related to improving the methodology of teaching technical and tactical actions to student biathletes engaged in summer biathlon on roller skis under the conditions of the Republic of Uzbekistan. The necessity of integrating technical training aids and rhythm-structural complexes across five intensity zones into the structure of the annual training cycle, particularly during the transition and preparatory periods, is substantiated.

A methodology for shooting and motor training aimed at improving shooting accuracy, speed endurance, and functional stability of athletes was developed and experimentally tested. The results of the pedagogical experiment demonstrated a significant improvement in race time, increased shooting accuracy, reduced number of technical errors, and decreased heart rate before shooting execution.

The obtained data confirm the effectiveness of the comprehensive application of modern technical training aids and a scientifically grounded structure of the training process for developing stable technical and tactical skills in student biathletes and improving their competitive performance.
DOI: 10.82506/21
title: Validated measurements of hydrological parameters taken from the HIC's continuous measurement network on Flemish navigable waterways
title: Gevalideerde metingen van hydrologische parameters, afkomstig uit het continue meetnet van het HIC op de Vlaamse bevaarbare waterlopen

description: This dataset includes validated measurements of hydrological parameters taken from the continuous HIC monitoring network covering Flemish navigable waterways. Specifically, it concerns the parameters of water level (both inside and outside the tidal area), discharge and precipitation.
description: The following actions are important in the creation of the dataset:- installation, management and maintenance of monitoring points in the field;- forwarding files with raw data from the individual data loggers to a central server;- picking up the data files on the central server and performing the necessary conversions (ETL system);- forwarding (ETL system) the converted data files to the WISKI database;- 24*7 monitoring of ETL and WISKI database system and carrying out corrective maintenance if required;- manual validation of measurements of the hydrological parameters waterlevel and discharge on a regular basis, based on gaugings, RTK control measurements and calibration measurements. This manual validation is done within the WISKI application, assigning a quality code to each data point. Validation includes removing outliers, filling missing data based on estimates or measurements from nearby stations, shifting data within a certain range,...;- frequent manual validation of the precipitation data of the HIC monitoring network by the RMI;- publication of validated data in hydrological yearbooks (discharges), multiannual overviews (tide area), ... Validated data are also available via HIC-webservices (https://hicws.vlaanderen.be)
DOI: 10.5281/zenodo.18760906
title: Large-Scale Carbon Removal Will Create Public Health, Economic, and Climate Tradeoffs
DOI: 10.5281/zenodo.18760905
title: Large-Scale Carbon Removal Will Create Public Health, Economic, and Climate Tradeoffs
DOI: 10.5281/zenodo.18758138
title: Quantitative data of "The superior parietal lobule of primates: a sensory-motor hub for interaction with the environment"

description: In this file collects the quantitative data represented in Figure 2 of the paper "The superior parietal lobule of primates: a sensory-motor hub for interaction with the environment". In this figure the different line's dimensions represent the strenght of the thalamo-cortical connections after injections of retrograde tracers in posterior parietal areas. From the abstract of the paper to underline the importance of this kind of reseach that is based on animal models: The knowledge of this part of the macaque brain could help in understanding pathological conditions that in humans affect the normal behaviour of arm-reaching actions and can inspire brain computer interfaces performing in more accurate ways the sensorimotor transformations needed to interact with the surrounding environment.