cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.hu6f4b
title: Occurrence Download

description: A dataset containing 1075 records in GBIF matching the query:

 SELECT gbifid, datasetkey, specieskey, kingdom, phylum, class, "order", family, genus, species, scientificname, decimallatitude, decimallongitude, eventdate, institutioncode, "year" AS obs_year, basisofrecord, coordinateuncertaintyinmeters, issue
 FROM occurrence
 WHERE
 decimallatitude IS NOT NULL
 AND decimallongitude IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND coordinateuncertaintyinmeters IS NOT NULL
 AND coordinateuncertaintyinmeters &gt; 0
 AND coordinateuncertaintyinmeters &lt;= 200.0
 AND decimallatitude &gt;= 28.773895969281842
 AND decimallatitude &lt;= 33.06103686093294
 AND decimallongitude &gt;= 92.0210150976321
 AND decimallongitude &lt;= 100.19009778061415
 AND GBIF_Within('POLYGON ((100.190098 28.773896, 100.190098 33.061037, 92.021015 33.061037, 92.021015 28.773896, 100.190098 28.773896))', decimallatitude, decimallongitude) = TRUE
 

 The dataset's 1075 records were derived from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001586-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/nddmsn
title: International Trade Data (Services)

description: &lt;p&gt;
&lt;a href="http://atlas.hks.harvard.edu"&gt;The Atlas of Economic Complexity&lt;/a&gt; maintains trade data in multiple international classification systems. This data set contains unilateral trade flows for services from the International Monetary Fund (IMF) Direction of Trade Statistics database.
&lt;/p&gt;

&lt;ul&gt;
 &lt;li&gt;Describes services across five broad categories as grouped by researchers at the Growth Lab&lt;/li&gt;
 &lt;li&gt;Coverage starts in 1980&lt;/li&gt;
 &lt;li&gt;Categories provided at 1- 2- 4- 6- digit level for compatibility with our other data sets&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;
Raw data on trade in services contains unilateral data on services trade provided by the &lt;a href="https://www.imf.org/en/Data"&gt;International Monetary Fund (IMF)&lt;/a&gt; and acquired through the &lt;a href="https://datacatalog.worldbank.org/dataset/world-development-indicators"&gt;World Development Indicators (WDI)&lt;/a&gt; of The World Bank The data is then cleaned by Growth Lab researchers.
&lt;/p&gt;

&lt;p&gt;
A data dictionary for this repository describing columns within these files can be found under "services_unilateral_data_dictionary.csv".
&lt;/p&gt;
DOI: 10.5281/zenodo.14903185
title: MBES bathymetry, pockmark base horizons and extracted pockmark polygons

description: General information

Supplementary data for journal article investigating paleo-pockmarks using pseudo-3D sub-bottom profiler (SBP) data on the Chatham Rise, New Zealand.





Warnke, F., Pecher, I. A., Strachan, L. J., Hillman, J. I. T., & Dugan, B. (2025). Cyclic Pockmark Formation Linked to Plio-Pleistocene Sea-Level Rise on the Chatham Rise, New Zealand. Geochemistry, Geophysics, Geosystems, 26(12), e2025GC012265. https://doi.org/10.1029/2025GC012265



Content

Horizons



PB-*_depth.tif: Individual pockmark base horizon grids from pseudo-3D SBP data (depth-converted)

SBP_seafloor_depth.tif: Seafloor horizon grid from pseudo-3D SBP data (depth-converted)

MBES_pseudo-3D_bathymety_5x5m.tif: Multibeam echosounder (MBES) bathymetry grid


GIS



pockmark_polygons.gpkg: Delineated and characterized pockmark polygons

pockmark_polygons_local-minima.gpkg: Extracted local minima within pockmark polygons


References

The QGIS processing scripts used for the pockmark analysis and extraction for local minima are available on GitHub and archived on Zenodo.
DOI: 10.5281/zenodo.14903184
title: MBES bathymetry, pockmark base horizons and extracted pockmark polygons

description: General information

Supplementary data for journal article investigating paleo-pockmarks using pseudo-3D sub-bottom profiler (SBP) data on the Chatham Rise, New Zealand.





Warnke, F., Pecher, I. A., Strachan, L. J., Hillman, J. I. T., & Dugan, B. (2025). Cyclic Pockmark Formation Linked to Plio-Pleistocene Sea-Level Rise on the Chatham Rise, New Zealand. Geochemistry, Geophysics, Geosystems, 26(12), e2025GC012265. https://doi.org/10.1029/2025GC012265



Content

Horizons



PB-*_depth.tif: Individual pockmark base horizon grids from pseudo-3D SBP data (depth-converted)

SBP_seafloor_depth.tif: Seafloor horizon grid from pseudo-3D SBP data (depth-converted)

MBES_pseudo-3D_bathymety_5x5m.tif: Multibeam echosounder (MBES) bathymetry grid


GIS



pockmark_polygons.gpkg: Delineated and characterized pockmark polygons

pockmark_polygons_local-minima.gpkg: Extracted local minima within pockmark polygons


References

The QGIS processing scripts used for the pockmark analysis and extraction for local minima are available on GitHub and archived on Zenodo.
DOI: 10.5281/zenodo.18527951
title: COMPARATIVE ANALYSIS OF ANTHROPOMETRIC INDICATORS IN HEALTHY CHILDREN AND CHILDREN WITH DIABETIC NEPHROPATHY IN ANDIJAN REGION

description: Anthropometric indicators are essential parameters for assessing physical development and overall health status in children. Chronic diseases such as diabetic nephropathy may negatively influence growth patterns, body composition, and nutritional status during childhood. This study presents a comparative analysis of anthropometric indicators in healthy children and children diagnosed with diabetic nephropathy in the Andijan region. Body height, body weight, and body mass index were evaluated and compared between the two groups. The findings demonstrate significant differences in growth parameters, highlighting the impact of chronic renal complications of diabetes on physical development. Regular monitoring of anthropometric indicators is crucial for early detection of growth disturbances and optimization of clinical management in affected children.
DOI: 10.5281/zenodo.18527950
title: COMPARATIVE ANALYSIS OF ANTHROPOMETRIC INDICATORS IN HEALTHY CHILDREN AND CHILDREN WITH DIABETIC NEPHROPATHY IN ANDIJAN REGION

description: Anthropometric indicators are essential parameters for assessing physical development and overall health status in children. Chronic diseases such as diabetic nephropathy may negatively influence growth patterns, body composition, and nutritional status during childhood. This study presents a comparative analysis of anthropometric indicators in healthy children and children diagnosed with diabetic nephropathy in the Andijan region. Body height, body weight, and body mass index were evaluated and compared between the two groups. The findings demonstrate significant differences in growth parameters, highlighting the impact of chronic renal complications of diabetes on physical development. Regular monitoring of anthropometric indicators is crucial for early detection of growth disturbances and optimization of clinical management in affected children.
DOI: 10.15468/dl.35cr8u
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Acourtia elizabethiae",
 "Year 1969-2026"
 ]
}

 The dataset includes 23 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001593-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/14776542
title: Indonesian Hoax News Dataset
DOI: 10.5281/zenodo.18527980
title: Original unprocessed SEM images supporting the manuscript

description: This dataset contains the original, unprocessed scanning electron microscopy (SEM) images that support the figures and findings reported in the manuscript.
DOI: 10.5281/zenodo.18527981
title: Original unprocessed SEM images supporting the manuscript

description: This dataset contains the original, unprocessed scanning electron microscopy (SEM) images that support the figures and findings reported in the manuscript.
DOI: 10.25919/3v9x-v489
title: Parkes observations for project P595 semester 2025OCTS_29

description: We propose to continue the PULSE@Parkes project in which high school students from Australia and around the World use the Parkes radio telescope in a remote observing model to observe and analyse pulsar data. The data from some PULSE@Parkes observations are used to support the space missions, other observations supplement the P456 Pulsar Timing Array project and the remainder were chosen in order to make a detailed analysis of pulsar timing irregularities and intermittency.
DOI: 10.25919/7qt7-nn51
title: Parkes observations for project P1054 semester 2025OCTS_16

description: With this proposal we ask time to continue our timing follow-up campaign of pulsars discovered with the MeerKAT telescope. Fourtyfour sources have been discovered in targeted observations of Fermi unidentified point sources, two towards Supernova Remnants, 26 in the Magellanic Clouds, 106 in Globular Clusters and 87 in a survey of the Galactic plane. A large fraction of the new discoveries are recycled pulsars (including a few relativistic systems, a pulsar with a planetary companion and several 'spider' binaries), or young pulsars. Timing observations have an essential role in exploiting the full potential of any pulsar discovery, allowing for the precise measurement of rotational, astrometric and orbital parameters which, in turn, give us powerful tools to improve our understanding of the physics in extreme environments as well as of the population of neutron stars as a whole. The UWL receiver of the Parkes telescope is a sensitive, versatile instrument that is allowing us to successfully time these new sources, in the bright-end of TRAPUM discoveries.
DOI: 10.25919/m4t2-1p94
title: Parkes observations for project P1102 semester 2025OCTS_03

description: We request a triggered, high-cadence observation campaign to fully capture abrupt radiative and timing changes in the pulsed radio emission of a sample of four actively monitored magnetars. Magnetars are excellent laboratories for exploring the response of a neutron star magnetosphere to sudden, often times cataclysmic, changes in magnetic structure. Catching a radio-loud magnetar during the early stages of a sudden change in radiative behaviour, whether switching on after an outburst or displaying signs of a rapidly varying magnetic topology, is key to understanding both the short- and long-term evolution of their ultra-strong magnetic fields. The excellent sensitivity of the Ultra-Wideband Low (UWL) receiver system provides us with the means to capture high-quality, phase resolved polarisation spectra of these objects.
DOI: 10.13140/rg.2.1.4844.0403
title: Conference poster(2013) Lyon; France . Correlation between Hepatitis B surface antigen titers and HBV DNA levels. http://www.easl.eu/lyon_abstract_ebook/#p=156
DOI: 10.15468/dl.drcfz6
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((171.30569 -43.38911,172.04889 -43.38911,172.04889 -42.48992,171.30569 -42.48992,171.30569 -43.38911))",
 "HasCoordinate is true",
 "TaxonKey is Micarea"
 ]
}

 The dataset includes 12 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001595-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2kpt43
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Acourtia erioloma"
 ]
}

 The dataset includes 10 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001596-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e114769v1-198469
title: Replication data for: Government Form and Public Spending: Theory and Evidence from US Municipalities

description: There are two main forms of government in US cities: council-manager and mayor-council. This paper develops a theory of fiscal policy determination under these two forms. The theory predicts that expected public spending will be lower under mayor-council but that either form of government could be favored by a majority of citizens. The latter prediction means that the theory is consistent with the coexistence of both government forms. Support for the former prediction is found in both a cross-sectional analysis and a panel analysis of changes in government form. (JEL H11, H72, R51)
DOI: 10.15468/dl.j645yy
title: Occurrence Download

description: A dataset containing 114 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Microryzomys altissimus"
 ]
}

 The dataset includes 114 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001599-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.45nq83
title: Occurrence Download

description: A dataset containing 400 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Material sample, Specimen, Occurrence evidence)",
 "Continent is South America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Helicoverpa armigera",
 "Year 2010-2026"
 ]
}

 The dataset includes 400 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001601-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fbxegv
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Acourtia fragrans"
 ]
}

 The dataset includes 27 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001600-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/14776575
title: TM1_Yeast_two-hybrid
DOI: 10.34740/kaggle/dsv/14776598
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.5281/zenodo.18528067
title: Population Aging, Gender, and Entrepreneurship: A Comparative Analysis of Maghreb Countries
DOI: 10.5281/zenodo.18528068
title: Population Aging, Gender, and Entrepreneurship: A Comparative Analysis of Maghreb Countries
DOI: 10.5281/zenodo.18510248
title: Data Extraction Table for a Scoping Review Comparing ChatGPT and Google Search in Health Self-Consultation (2023–2025)

description: This file contains the structured data extraction table used in the scoping review titled "Dr. Google vs. Dr. ChatGPT in Online Health Self-Consultation: A Scoping Review of Accuracy, Bias, and Actionability (2023–2025)".The table summarizes key information from the 42 empirical studies included in the review, including authorship, year of publication, medical specialty, study design, main findings, and comparative performance of ChatGPT and Google Search.The file is provided in .xlsx (Microsoft Excel) format and supports transparency and reproducibility of the review process.
DOI: 10.15468/dl.mb5mum
title: Occurrence Download

description: A dataset containing 400 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Material sample, Specimen)",
 "Continent is South America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Helicoverpa armigera",
 "Year 2010-2026"
 ]
}

 The dataset includes 400 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001602-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18528138
title: IMPROVING THE METHODOLOGY FOR DEVELOPING STUDENTS' ORAL SPEECH BASED ON FAIRY TALES IN READING LESSONS

description: This article explores innovative methodological approaches to developing students’ oral speech skills through the use of fairy tales in reading lessons. Fairy tales, as a rich source of narrative structure, expressive language, and cultural values, provide a natural and engaging context for improving speaking competence. The study focuses on learner-centered strategies that encourage active participation, such as storytelling, role-play, dialogic reading, and creative retelling. Particular attention is given to the integration of interactive techniques that promote vocabulary expansion, pronunciation accuracy, and coherent speech production. The methodology emphasizes age-appropriate text selection and scaffolded speaking tasks that gradually move learners from guided to independent oral expression. The findings suggest that systematic use of fairy tales in reading lessons not only enhances students’ oral fluency and confidence but also supports the development of critical thinking and imagination. The proposed methodological framework can be effectively applied in primary and lower secondary education to foster communicative competence in an engaging and meaningful learning environment.
DOI: 10.5281/zenodo.18528139
title: IMPROVING THE METHODOLOGY FOR DEVELOPING STUDENTS' ORAL SPEECH BASED ON FAIRY TALES IN READING LESSONS

description: This article explores innovative methodological approaches to developing students’ oral speech skills through the use of fairy tales in reading lessons. Fairy tales, as a rich source of narrative structure, expressive language, and cultural values, provide a natural and engaging context for improving speaking competence. The study focuses on learner-centered strategies that encourage active participation, such as storytelling, role-play, dialogic reading, and creative retelling. Particular attention is given to the integration of interactive techniques that promote vocabulary expansion, pronunciation accuracy, and coherent speech production. The methodology emphasizes age-appropriate text selection and scaffolded speaking tasks that gradually move learners from guided to independent oral expression. The findings suggest that systematic use of fairy tales in reading lessons not only enhances students’ oral fluency and confidence but also supports the development of critical thinking and imagination. The proposed methodological framework can be effectively applied in primary and lower secondary education to foster communicative competence in an engaging and meaningful learning environment.
DOI: 10.5281/zenodo.18528023
title: Disruptive exisential experiences and existential expressions in a course on climate change

description: This dataset consists of a transcript of a workshop during a course on climate change for students in Belgium. In this course students engaged in a variety of conversations, where the teacher employed alternative conversational approaches. The idea behind this course is that facilitating novel modes of thinking and talking may result in novel approaches to addressing the climate crisis and that this, in turn, has the potential to give rise to alternative future scenarios. The transcript has been analysed to gain insight into the educative potential of disruptive existential experiences. The excerpt is part of a larger dataset. This entire dataset for the course consisted of an audio-recorded and transcribed interview with the teacher, documents (a description of the summer school and selected teaching materials such as a conversation guideline) and, field notes and transcripts of video-recorded observations of 3 classroom activities, each lasting between two and four hours. The latter were spoken in Dutch and afterwards translated into English.
DOI: 10.5281/zenodo.18528034
title: Road Damage Dataset: Potholes, Cracks and Manholes

description: This dataset provides real-world road surface images collected in urban and rural areas around Rome and Sacrofano (Italy) using two low-cost devices: a GoPro HERO7 mounted on a moving vehicle and a Samsung Galaxy A14 smartphone for stationary captures. All images are 640x360.It aims to support realistic, device-independent road damage detection.

Each image is annotated in YOLO format with three damage classes:

Class 0 – Pothole

Class 1 – Crack

Class 2 – Manhole

Unlike most existing datasets that omit or misclassify manholes, this dataset explicitly includes them to improve model robustness and reduce false positives in real-world scenarios.

The dataset provides:





Polygon-based annotations (labels/): normalized quadrilaterals for each object (class_id, x_1, y_1, ..., x_4, y_4), suitable for oriented bounding boxes or segmentation tasks.




YOLO labels (labels-YOLO/): axis-aligned bounding boxes (class_id, x_center, y_center, width, height), ready for YOLO training.




COCO JSON annotations (annotations_coco.json): bounding boxes [x_min, y_min, width, height] in pixels, compatible with COCO-based frameworks.




Conversion scripts: YOLO-conversion-script.py and COCO-conversion-script.py to transform polygon annotations into YOLO or COCO formats.



The collection ensures diversity in lighting, perspective, and pavement texture, including urban, suburban, and rural roads. Images were captured at varying speeds (0–50 km/h), under different weather conditions, and with stabilized horizontal FOV. This variety enables reliable training and cross-device generalization for AI-based road inspection systems.
DOI: 10.5281/zenodo.17834372
title: Road Damage Dataset: Potholes, Cracks and Manholes

description: This dataset provides real-world road surface images collected in urban and rural areas around Rome and Sacrofano (Italy) using two low-cost devices: a GoPro HERO7 mounted on a moving vehicle and a Samsung Galaxy A14 smartphone for stationary captures. All images are 640x360.It aims to support realistic, device-independent road damage detection.

Each image is annotated in YOLO format with three damage classes:

Class 0 – Pothole

Class 1 – Crack

Class 2 – Manhole

Unlike most existing datasets that omit or misclassify manholes, this dataset explicitly includes them to improve model robustness and reduce false positives in real-world scenarios.

The dataset provides:





Polygon-based annotations (labels/): normalized quadrilaterals for each object (class_id, x_1, y_1, ..., x_4, y_4), suitable for oriented bounding boxes or segmentation tasks.




YOLO labels (labels-YOLO/): axis-aligned bounding boxes (class_id, x_center, y_center, width, height), ready for YOLO training.




COCO JSON annotations (annotations_coco.json): bounding boxes [x_min, y_min, width, height] in pixels, compatible with COCO-based frameworks.




Conversion scripts: YOLO-conversion-script.py and COCO-conversion-script.py to transform polygon annotations into YOLO or COCO formats.



The collection ensures diversity in lighting, perspective, and pavement texture, including urban, suburban, and rural roads. Images were captured at varying speeds (0–50 km/h), under different weather conditions, and with stabilized horizontal FOV. This variety enables reliable training and cross-device generalization for AI-based road inspection systems.