cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/selofd
title: Projected Climate Impacts on Crop Yields in Africa

description: This dataset compiles projections of crop yield changes in Africa under future climate scenarios, drawing from 72 peer-reviewed crop modeling studies. It represents a major update to earlier efforts by Challinor et al. (2014), Aggarwal et al. (2019), and Hasegawa et al. (2021), which originally covered 31 African-focused studies on rice, maize, and wheat.&lt;br&gt; 
The current dataset expands coverage through additional systematic searches in Web of Science and Scopus and includes yield projections for grains, tubers, and cash crops with and without adaptation interventions.&lt;br&gt; 
A forthcoming update will add projections for legumes based on 35 additional references. The dataset captures key variables including crop type, country, climate scenario, projected and baseline yield, CO₂ fertilization, and adaptation measures.
&lt;br&gt;
&lt;br&gt; 
Methodology:The dataset was developed through a systematic review following PRISMA guidelines. Peer-reviewed studies published before 2024 were identified via Scopus and Web of Science using structured search strings based on previous reviews (Aggarwal et al., 2019; Challinor et al., 2014; Carr et al., 2022). Included studies provided estimates of climate change impacts on crop yields in Africa using crop simulation models. Data were extracted on yield under baseline and future conditions, with and without adaptation. Climate impact was calculated as:
YI (%) = ((Yf - Yb) / Yb) × 100,
where Yf is projected yield and Yb is baseline yield.
&lt;br&gt; 

Adaptation effectiveness was assessed as:&lt;br&gt; 

ΔY_adapt (%) = ((Yf_adapt − Yf_no_adapt) / Yf_no_adapt) × 100,
where Yf_adapt is projected yield with adaptation, and Yf_no_adapt without.
&lt;br&gt; 

Additional variables captured include region, time period, CO₂ assumptions, and climate model used. The final dataset is harmonized to support meta-analysis and visualization of climate risks to African agriculture.
&lt;br&gt; 

Each geolocated study site within this bounding box was assigned gridded climate delta values using the ISIMIP3b NextGDDP dataset, which provides bias-adjusted daily climate projections derived from CMIP6 models. We extracted:&lt;br&gt; 

ΔT (°C): Average change in daily mean temperature between historical (2005) and future midpoints (e.g., 2030s, 2050s, 2080s)&lt;br&gt; 

ΔP (%): Percentage change in cumulative precipitation over the same periods
These delta values were matched to the study sites based on their latitude and longitude coordinates, allowing a consistent and spatially explicit characterization of the local climate change signal associated with each yield projection.
description: Web of Science; Scopus
DOI: 10.15468/dl.7zu66r
title: Occurrence Download

description: A dataset containing 1684 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Helianthus radula"
 ]
}

 The dataset includes 1684 records from 94 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017434-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sgstg6
title: Occurrence Download

description: A dataset containing 141 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Helianthus carnosus"
 ]
}

 The dataset includes 141 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017435-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eqq5us
title: Occurrence Download

description: A dataset containing 318 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Helianthus longifolius"
 ]
}

 The dataset includes 318 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017436-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18511100
title: THE IMPERFECT TENSE

description: This article provides a comprehensive analysis of the imperfetto, one of the key topics in Italian grammar related to the past tense. The imperfetto is a past tense used to describe actions and situations that occurred in the past, as well as habitual or repeated actions in the past. The topic is examined in depth through detailed explanations, illustrative examples, and comparative analysis with other past tenses.
DOI: 10.5281/zenodo.18511099
title: THE IMPERFECT TENSE

description: This article provides a comprehensive analysis of the imperfetto, one of the key topics in Italian grammar related to the past tense. The imperfetto is a past tense used to describe actions and situations that occurred in the past, as well as habitual or repeated actions in the past. The topic is examined in depth through detailed explanations, illustrative examples, and comparative analysis with other past tenses.
DOI: 10.15468/dl.2r2rdy
title: Occurrence Download

description: A dataset containing 175 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-116.11824 31.02779,-115.72695 31.02779,-115.72695 31.18679,-116.11824 31.18679,-116.11824 31.02779))",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 175 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017437-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vejprn
title: Occurrence Download

description: A dataset containing 2898 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Helianthus occidentalis"
 ]
}

 The dataset includes 2898 records from 128 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017439-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.20383/102.0677
title: SuperDARN 2021 RAWACF

description: SuperDARN RAWACF files for the calendar year 2021. INSTRUMENT INFORMATION AND RULES OF THE ROAD: *** Before downloading and using the data, make sure to read the README file in the top directory of this collection. *** SuperDARN is an international collaboration operating high frequency (HF) radars deployed in the northern and southern hemispheres to measure ionospheric plasma circulation. Each partner institution secures funding and manages operations for their own facilities. The continued availability of SuperDARN data depends on the proper acknowledgment of data by its users. Guidelines for data acknowledgment are as follows: When data from an individual radar or radars are used, users must contact the principal investigator(s) of those radar(s) to obtain the appropriate acknowledgement information and to offer collaboration, where appropriate. Contact information is available in the README file for this collection. For all usage of SuperDARN data, users are asked to include the following standard acknowledgment text: “The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.” While SuperDARN has an open data use policy, i.e., prior permission to access and analyse the data is not required, the data user is strongly encouraged to establish early contact with any Principal Investigator whose data are involved in the project to discuss the intended usage and collaboration. Data can be subject to limitations that are not immediately evident to users. In addition, some data are embargoed for use by designated Principal Investigators for a period of one year. SuperDARN and the organizations that contributed data must be acknowledged in all reports and publications that use SuperDARN data. The SuperDARN Executive Council (see list in the README) must be notified before data are redistributed through another database. The data are not to be used for commercial purposes. If you have any questions about appropriate use of these data, contact any SuperDARN Principal Investigator.
DOI: 10.20383/103.01006
title: Materials from Gomez et al. (2024) "The influence of realistic 3D mantle viscosity on Antarctica’s contribution to future global sea levels"

description: Data associated with the publication below, including ice sheet - 3D glacial isostatic adjustment model output, global sea level projections, 3D Antarctic Earth viscosity structure and select code. Gomez, N., Yousefi, M., Pollard, D., DeConto, R. M., Sadai, S., Lloyd, A., Nyblade, A., Wiens, D. A., Aster, R. C. and Wilson, T. The influence of realistic 3D mantle viscosity on Antarctica’s contribution to future global sea levels. Science Advances, 10: eadn1470. (2024). https://doi.org/10.1126/sciadv.adn1470
DOI: 10.20383/103.0616
title: Wastewater discharges alter microbial community composition in surface waters of the Canadian prairies

description: Freshwater ecosystems occupy only a small portion of the Earth's surface, but harbor a disproportionate amount of biodiversity that is particularly threatened by wastewater discharges, as one of the most common anthropogenic impact on these systems. As wastewater effluents are also sources of antimicrobial agents and other microorganisms, they reflect a particular threat to natural microbial communities within receiving rivers. Our knowledge about the impact of wastewater effluents on these communities is, however, largely unexplored. In this study, composition of microbial communities upstream and downstream of 5 different wastewater treatment plants within Southern Saskatchewan, Canada were examined. Three matrices, the water column, sediments, and biofilms attached to hard surfaces, were analyzed. The samples were extracted for DNA and were PCR amplified targeting the hypervariable V3-V4 region of the 16S ribosomal RNA subunit I gene of prokaryotes, as well as the hypervariable V3 region of the 18S ribosomal RNA gene of eukaryotic organisms. Amplicons were sequenced performing a 600-cycle paired-end sequencing run on an Illumina® MiSeq sequencer. This dataset includes the demultiplexed sequencing output, the feature table with taxonomic annotation, and the sample metadata.
DOI: 10.20383/102.0400
title: Real-Time Closed-Loop Feedback System For Mouse Mesoscale Cortical Signal And Movement Control: CLoPy

description: This dataset includes raw wide-field GCaMP6s image stacks of dorsal cortical activity in mice while they are being trained in 1) A closed-loop neurofeedback task (CLNF) and 2) A closed-loop movement feedback task (CLMF). Data for CLMF experiments are accompanied by synchronized behavior recordings of the whole body of the mouse. Most experiments were performed toward the end of the mouse light cycle(5 PM - 8 PM). CLNF cortical image stacks were collected using Raspberry Pi camera v1 while CLMF cortical image stacks were recorded using a pair of front-to-front video lenses coupled to a CCD camera (Pantera Dalsa). Calcium indicators were excited with blue-light-emitting diodes (470 nm) with bandpass filters (467–499 nm). Emission fluorescence was filtered using a 510–550 nm bandpass filter. The recorded behavior scene was illuminated with infrared light. This is the data repository for titled publication "Real-Time Closed-Loop Feedback System For Mouse Mesoscale Cortical Signal And Movement Control: CLoPy".
DOI: 10.15468/dl.37qrkm
title: Occurrence Download

description: A dataset containing 1423 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Helianthus heterophyllus"
 ]
}

 The dataset includes 1423 records from 90 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017440-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.20383/103.01339
title: Lagrangian Simulations (2012-2023) and Coastal Tracer Observations (1930-2023) for Analyzing the Interannual Variability of Water Mass Inflow to the Salish Sea

description: This dataset includes setup files and simulation results for ten years of quantitative Lagrangian analysis using Ariane, an offline Lagrangian tool capable of calculating 3D parcel trajectories and volume transport, used in Beutel et al. (2025). The simulations are based on the output from LiveOcean, a physical-biogeochemical ocean model developed by the University of Washington Coastal Modelling Group. The simulation results were used to quantify the interannual variability in tracer flux into the Salish Sea, and to assess whether this variability is driven by changes in the volume contribution of water masses to Salish Sea inflow or changes in the properties of said water masses. This dataset also includes collated observations of tracers along the BC, Alaska, Washington, and Oregon coasts (shallower than 500 m, east of 145.5 W, and between 40 and 50.8 N) from 1930 to the end of 2023. This data was used to extend the tracer flux analysis beyond the tracers available in LiveOcean, such that the water mass transport of trace metals, and additional nutrients and carbonate chemistry constituents could be discussed. Knowledge on the connection between the inflow of biogeochemical tracers and water mass transport is crucial for understanding the vulnerability of the Salish Sea to future water mass dynamical and property variation under a changing climate.
DOI: 10.20383/103.0624
title: Terrestrial Laser Scanning (TLS) plot scans from varying natural forest environments

description: Terrestrial laser scanning (TLS) data was collected by the University of Lethbridge, ARTeMiS Laboratory during 2014-2020 and by the Finnish Geodetic Institute during 2014.
DOI: 10.15468/dl.3qx5v2
title: Occurrence Download

description: A dataset containing 5353 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Helianthus pauciflorus"
 ]
}

 The dataset includes 5353 records from 253 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017441-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dddja4
title: Occurrence Download

description: A dataset containing 1971305 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Haliaeetus albicilla",
 "Continent is Europe",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1971305 records from 450 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017395-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18511125
title: LOCAL TAXES AND FEES LEVIED ON INDIVIDUALS AND THEIR IMPROVEMENT

description: This study examines local taxes and fees levied on individuals in the Republic of Uzbekistan and explores ways to improve their administration and effectiveness. It analyzes the legal framework, calculation methods, collection and reporting procedures, and compliance mechanisms. The research evaluates the impact of these taxes and fees on individual taxpayers and regional budgets, and provides recommendations to enhance transparency, efficiency, and fairness in local tax administration.
DOI: 10.5281/zenodo.18511124
title: LOCAL TAXES AND FEES LEVIED ON INDIVIDUALS AND THEIR IMPROVEMENT

description: This study examines local taxes and fees levied on individuals in the Republic of Uzbekistan and explores ways to improve their administration and effectiveness. It analyzes the legal framework, calculation methods, collection and reporting procedures, and compliance mechanisms. The research evaluates the impact of these taxes and fees on individual taxpayers and regional budgets, and provides recommendations to enhance transparency, efficiency, and fairness in local tax administration.
DOI: 10.15468/dl.wcn42u
title: Occurrence Download

description: A dataset containing 2690 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Helianthus atrorubens"
 ]
}

 The dataset includes 2690 records from 123 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017442-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18511148
title: AI-BASED DETECTION OF CULTURAL MISUNDERSTANDINGS IN ENGLISH–UZBEK FOREIGN LANGUAGE LEARNING

description: This study explores the application of artificial intelligence (AI) in detecting cultural misunderstandings in English–Uzbek foreign language learning. Cultural misunderstandings often stem from differences in pragmatic norms, politeness strategies, and sociocultural expectations. Drawing on intercultural pragmatics, second language acquisition theory, and educational technology, the article examines how AI-based tools using natural language processing and machine learning can identify pragmatic mismatches in learner discourse. The study argues that AI-assisted detection enhances learners’ pragmatic competence and intercultural awareness. Pedagogical implications for English language teaching in Uzbekistan are discussed.
DOI: 10.5281/zenodo.18511147
title: AI-BASED DETECTION OF CULTURAL MISUNDERSTANDINGS IN ENGLISH–UZBEK FOREIGN LANGUAGE LEARNING

description: This study explores the application of artificial intelligence (AI) in detecting cultural misunderstandings in English–Uzbek foreign language learning. Cultural misunderstandings often stem from differences in pragmatic norms, politeness strategies, and sociocultural expectations. Drawing on intercultural pragmatics, second language acquisition theory, and educational technology, the article examines how AI-based tools using natural language processing and machine learning can identify pragmatic mismatches in learner discourse. The study argues that AI-assisted detection enhances learners’ pragmatic competence and intercultural awareness. Pedagogical implications for English language teaching in Uzbekistan are discussed.
DOI: 10.15468/dl.x28yx9
title: Occurrence Download

description: A dataset containing 25123 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;= -24.552553756517728
 AND decimallatitude &lt;= -20.3845909579754
 AND decimallongitude &gt;= 124.61525846703131
 AND decimallongitude &lt;= 132.25114863075456
 AND GBIF_Within('POLYGON ((132.251149 -24.552554, 132.251149 -20.384591, 124.615258 -20.384591, 124.615258 -24.552554, 132.251149 -24.552554))', decimallatitude, decimallongitude) = TRUE
 

 The dataset's 25123 records were derived from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017438-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yjfymt
title: Occurrence Download

description: A dataset containing 109 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-2.73438 9.38134,-2.81678 10.96896,-0.1678 10.84413,-0.1678 10.84413,1.07046 10.7999,1.58828 11.15353,2.6014 11.55085,2.48883 12.32179,2.24118 12.98081,1.61079 12.78328,1.54325 13.17817,1.11549 13.76931,0.62019 14.20624,0.55264 14.72943,0.19242 15.1862,-0.68562 15.25137,-2.37415 14.51158,-2.37415 14.51158,-3.02706 14.16258,-3.34225 13.90048,-3.54487 13.48487,-4.01766 13.72558,-4.4004 13.35348,-4.62554 12.89304,-4.76062 12.2778,-5.57112 12.05772,-5.50358 11.3964,-5.79626 10.99887,-5.79626 10.55654,-5.41352 10.04707,-4.49045 9.40355,-3.70247 9.75875,-2.73438 9.38134))",
 "HasGeospatialIssue is false",
 "TaxonKey is Ceiba pentandra"
 ]
}

 The dataset includes 109 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017443-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9tagnz
title: Occurrence Download

description: A dataset containing 567405 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Occurrence evidence, Observation, Material sample, Specimen, Human Observation)",
 "Country is Mexico",
 "Geometry POLYGON((-118.04007 32.70957,-119.22535 29.19088,-115.7688 26.55735,-110.9333 22.3138,-108.88745 22.53068,-108.95201 23.47523,-110.13253 25.26874,-111.37866 26.90889,-112.46231 28.51624,-113.99366 30.2186,-114.25962 32.94135,-118.04007 32.70957))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 567405 records from 324 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017426-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qcfktm
title: Occurrence Download

description: A dataset containing 2888 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Panthera onca (Linnaeus, 1758)"
 ]
}

 The dataset includes 2888 records from 111 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0262425-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h5srph
title: Occurrence Download

description: A dataset containing 217 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((11.59442 54.87534,12.59857 54.87534,12.59857 55.26409,11.59442 55.26409,11.59442 54.87534))",
 "HasCoordinate is true",
 "TaxonKey is Heracleum mantegazzianum Sommier & Levier",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 217 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010076-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kkzzvk
title: Occurrence Download

description: A dataset containing 226 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "TaxonKey is Ramphastos toco P.L.S.Müller, 1776",
 "Year 1980-2000"
 ]
}

 The dataset includes 226 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0292818-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.