cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/p4v7f3t3vc.1
title: Eye-Tracking Data on Reading English Relative Clauses by Farsi and Dutch Speakers

description: In an eye-tracking experiment, we explored whether there is a cross-linguistic influence of L1 Farsi and L1 Dutch on the processing of L2 English subject and object relative clauses. Moreover, we assessed whether these L2 learners rely on the morphological cues in that-clause and who(m)-clause conditions or whether they can also process the structural cues in English relative clauses. Forty-two Iranian Farsi-speaking students and twenty-nine Dutch students at the University of Groningen participated in the experiment. They were tested individually in the eye lab at the University of Groningen. Eye movements were recorded using a Tobii 1750 Eye tracker, interfaced with a laptop. The sampling rate was 50 HZ. The materials for this experiment were taken from the items used by Staub (2010) and Staub et al. (2017). The present study used 36 sentences to create four types of relative clauses per item (in total 144 relative clause sentences); subject and direct object relative clauses with either the relative pronoun ‘that’ or the relative pronouns ‘who/whom’. We analysed relative clause sentences in three regions: the embedded noun phrase in the relative clause, embedded verb phrase in the relative clause, and the combined region of these two. For each region, three reading time measures were computed: First-pass reading time (FP), Regression path duration (RPD), and Total reading time (TRT). Statistical analysis was conducted using linear mixed-effects models of the reading times. We used R (R Core Team, 2019) and the lme4 package (Bates et al., 2015) to predict the times of the eye movement measurements based on L1 (Farsi versus Dutch), Clause Type (subject versus object) and Type of Pronoun (that-clause versus who(m)-clause). As random effects, we included intercepts for subjects and items. First, we created a model with the main effects and then compared it with a model with the interaction. In the models, the subject relative was the baseline for Clause Type and that-clause condition was the baseline for the Type of Pronoun. In the case of an interaction of Clause Type and Type of Pronoun, we ran extra analyses to test the effect of Clause Type in the two Types of Pronoun conditions separately.
DOI: 10.6084/m9.figshare.31123546
title: Fagus caspica chorology

description: Distribution map of <i>Fagus caspica</i>.These maps were produced by combining numerous and heterogeneous data collected from atlas monographs providing complete species distribution maps, from national to regional atlases, occurrence geo-databases, scientific and grey literature. The maps were created using ESRI shapefiles (*.shp, *.shx, *.dbf, *.prj files) archived in the ZIP file. Species range is mapped with polygon features (name suffix "plg"), which define continuous areas of occupancy of the species, and with point features (name suffix "pnt"), which identify more fragmented and isolated populations. If synanthropic occurrences are reported outside the species natural range, additional point and/or polygon shapefiles are also present (suffix "syn"). Polygon borders delimiting species ranges are generalized across the mainland and sea boundaries. This offers the possibility to mask sea areas or to clip and extract the terrestrial range parts using GIS data layers of the users' choice. An additional version of polygon ranges are clipped with a coastline (name suffix "clip"), which have been derived from Natural Earth dataset "Admin 0 - Countries" 1:50M version 4.1.0 (https://www.naturalearthdata.com).Please cite as: Caudullo, G., Welk, E., San-Miguel-Ayanz, J., 2017. Chorological maps for the main European woody species. Data in Brief 12, 662-666. DOI: doi.org/10.1016/j.dib.2017.05.007Additional information and used references are on 'supplementary materials' document: https://doi.org/10.6084/m9.figshare.5091901Chorological maps are part of the "European Atlas of Forest Tree Species" project: https://w3id.org/mtv/FISE-Comm/v01
DOI: 10.6084/m9.figshare.31123546.v1
title: Fagus caspica chorology

description: Distribution map of <i>Fagus caspica</i>.These maps were produced by combining numerous and heterogeneous data collected from atlas monographs providing complete species distribution maps, from national to regional atlases, occurrence geo-databases, scientific and grey literature. The maps were created using ESRI shapefiles (*.shp, *.shx, *.dbf, *.prj files) archived in the ZIP file. Species range is mapped with polygon features (name suffix "plg"), which define continuous areas of occupancy of the species, and with point features (name suffix "pnt"), which identify more fragmented and isolated populations. If synanthropic occurrences are reported outside the species natural range, additional point and/or polygon shapefiles are also present (suffix "syn"). Polygon borders delimiting species ranges are generalized across the mainland and sea boundaries. This offers the possibility to mask sea areas or to clip and extract the terrestrial range parts using GIS data layers of the users' choice. An additional version of polygon ranges are clipped with a coastline (name suffix "clip"), which have been derived from Natural Earth dataset "Admin 0 - Countries" 1:50M version 4.1.0 (https://www.naturalearthdata.com).Please cite as: Caudullo, G., Welk, E., San-Miguel-Ayanz, J., 2017. Chorological maps for the main European woody species. Data in Brief 12, 662-666. DOI: doi.org/10.1016/j.dib.2017.05.007Additional information and used references are on 'supplementary materials' document: https://doi.org/10.6084/m9.figshare.5091901Chorological maps are part of the "European Atlas of Forest Tree Species" project: https://w3id.org/mtv/FISE-Comm/v01
DOI: 10.17632/82pmgvttpy
title: Primary Experimental Data on the Thermal Conductivity of Pb, In and Bi in the Solid State

description: Based on the laser flash method, a technique for measuring the thermal conductivity of solid metals in the temperature range close to their melting point is presented. The new technique was tested on metals with different mechanical properties: lead as a standard metal, highly ductile indium, and brittle bismuth.
DOI: 10.17632/82pmgvttpy.1
title: Primary Experimental Data on the Thermal Conductivity of Pb, In and Bi in the Solid State

description: Based on the laser flash method, a technique for measuring the thermal conductivity of solid metals in the temperature range close to their melting point is presented. The new technique was tested on metals with different mechanical properties: lead as a standard metal, highly ductile indium, and brittle bismuth.
DOI: 10.17632/znkh37nzzr
title: harm_aware_sentencing_synthetic_dataset1

description: This file contains a fully synthetic dataset designed to support experiments on a harm-aware,
multi-outcome AI sentencing framework. All records are simulated and do NOT represent any
real individuals or real jurisdictions. The data structure mimics realistic relationships
between judicial decisions, socio-economic factors, health indicators, and post-sentencing
outcomes, including a composite Social Harm Index (SHI).
DOI: 10.17632/znkh37nzzr.2
title: harm_aware_sentencing_synthetic_dataset1

description: This file contains a fully synthetic dataset designed to support experiments on a harm-aware,
multi-outcome AI sentencing framework. All records are simulated and do NOT represent any
real individuals or real jurisdictions. The data structure mimics realistic relationships
between judicial decisions, socio-economic factors, health indicators, and post-sentencing
outcomes, including a composite Social Harm Index (SHI).
DOI: 10.5281/zenodo.18336407
title: "YULDUZLI TUNLAR" VA "AVLODLAR DOVONI" TARIXIY ASARIDA QO'LLANGAN MAQOL, IBORA, O'XSHATISH, BAYTLARNING ASAR G'OYASINI OCHISHDAGI O'RNI

description: Pirimqul Qodirovning “Yulduzli tunlar” romanida keltirilgan Bobur va uning bolaligi, o‘smirligi, Farg‘onadagi hukmronlik yillari, Samarqand uchun bo‘lgan kurashlar, ota yurtidan chiqib ketishi haqida hikoya qilingani. Bobur va uning avlodlari Humoyun, Akbarning davlat boshqarishdagi qiyinchiligi, siyosati va tarix sahnasidagi o‘rni va islohotlari, iztiroblari, taraqqiyoti va inqirozi. Ushbu maqolada esa adibning tarixiy mavzuni ochishda so‘z qo‘llash mahorati, asardagi maqol, ibora, o‘xshatish va naql, baytlarning asar g‘oyasini ochishdagi o‘rniga alohida urg‘u berilgan.
DOI: 10.17632/b49np7ht26
title: AKAS (FA) - Actinic Keratosis Area Scale for the Forearm

description: A validated ordinal scale based on the area of the forearm affected by actinic keratosis. It is supported by illustrations that represent the areas.
Research funded by CNPq - Brazil (306358/2022).
DOI: 10.5281/zenodo.18336406
title: "YULDUZLI TUNLAR" VA "AVLODLAR DOVONI" TARIXIY ASARIDA QO'LLANGAN MAQOL, IBORA, O'XSHATISH, BAYTLARNING ASAR G'OYASINI OCHISHDAGI O'RNI

description: Pirimqul Qodirovning “Yulduzli tunlar” romanida keltirilgan Bobur va uning bolaligi, o‘smirligi, Farg‘onadagi hukmronlik yillari, Samarqand uchun bo‘lgan kurashlar, ota yurtidan chiqib ketishi haqida hikoya qilingani. Bobur va uning avlodlari Humoyun, Akbarning davlat boshqarishdagi qiyinchiligi, siyosati va tarix sahnasidagi o‘rni va islohotlari, iztiroblari, taraqqiyoti va inqirozi. Ushbu maqolada esa adibning tarixiy mavzuni ochishda so‘z qo‘llash mahorati, asardagi maqol, ibora, o‘xshatish va naql, baytlarning asar g‘oyasini ochishdagi o‘rniga alohida urg‘u berilgan.
DOI: 10.17632/b49np7ht26.1
title: AKAS (FA) - Actinic Keratosis Area Scale for the Forearm

description: A validated ordinal scale based on the area of the forearm affected by actinic keratosis. It is supported by illustrations that represent the areas.
Research funded by CNPq - Brazil (306358/2022).
DOI: 10.17632/b6mn8swzwm
title: The Use of a Smartphone to Assess the Two - Minute Step Test : validity of machine learning compared to analytical data processing

description: De-identified raw Vicon and smartphone data for all participants, supporting the analyses reported in the associated manuscript.
DOI: 10.17632/b6mn8swzwm.1
title: The Use of a Smartphone to Assess the Two - Minute Step Test : validity of machine learning compared to analytical data processing

description: De-identified raw Vicon and smartphone data for all participants, supporting the analyses reported in the associated manuscript.
DOI: 10.17632/ncctrgphsd
title: Supplementary Material

description: Supplementary Material
DOI: 10.17632/ncctrgphsd.2
title: Supplementary Material

description: Supplementary Material
DOI: 10.17632/nbs4bbb74j
title: Aluminium drives hydrogen incorporation in pyrolitic lower mantle: Constraints from a combined FTIR-ERDA-nanoSIMS analysis

description: his repository provides access to all data presented in the manuscript and supplementary document associated with the work entitled 'Aluminium drives hydrogen incorporation in pyrolitic lower mantle: Constraints from a combined FTIR-ERDA-nanoSIMS analysis.' The list of data includes measurements from EPMA, Raman-FTIR spectroscopy, ERDA, and NanoSIMS.
DOI: 10.17632/nbs4bbb74j.2
title: Aluminium drives hydrogen incorporation in pyrolitic lower mantle: Constraints from a combined FTIR-ERDA-nanoSIMS analysis

description: his repository provides access to all data presented in the manuscript and supplementary document associated with the work entitled 'Aluminium drives hydrogen incorporation in pyrolitic lower mantle: Constraints from a combined FTIR-ERDA-nanoSIMS analysis.' The list of data includes measurements from EPMA, Raman-FTIR spectroscopy, ERDA, and NanoSIMS.
DOI: 10.15468/dl.fe5ag8
title: Occurrence Download

description: A dataset containing 4038 records in GBIF matching the query:
SELECT
 '102' AS fish_cell,
 GBIF_MGRSCode(1000, decimalLatitude, decimalLongitude, 0) AS cell, -- NO randomization
 COUNT(DISTINCT speciesKey) AS species_richness
 FROM occurrence
 WHERE hasCoordinate = TRUE
 AND speciesKey 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 decimalLatitude &gt;= -16.25916876999866
 AND decimalLatitude &lt;= -12.166598047573723
 AND decimalLongitude &gt;= 30.356004228605748
 AND decimalLongitude &lt;= 35.81366587837205
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND (coordinateUncertaintyInMeters &lt;= 100 OR coordinateUncertaintyInMeters IS NULL)
 GROUP BY fish_cell, cell

 The dataset's 4038 records were derived from 70 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004685-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/m4m6j2tjfj.1
title: Chilli-Papaya-Tomato Fruit & Leaf Disease Dataset

description: Contributors: Dr. Neeta Nain
Research Scholars: Anand Kumar Jain
Institute: Malaviya National Institute of Technology Jaipur
Domain Expert: 
Published: December 2025
Version: 1.0
Crops: Chilli, Papaya & Tomato
Chilli Diseases: Leaf Curl, Cercospora, Bacterial Spot, White Spot, Nutrition Deficiency.
Healthy., Healthy Chilli Fruit, Disease Chilli Fruit
Papaya Disease: Anthracnose, Bacterial Spot, Curl, Ring Spot.
Healthy. Healthy Papaya Fruit, Disease Papaya Fruit.
Tomato Disease: Healthy Tomato Fruit, Disease Tomato Fruit, Tomato healthy leaf, Tomato septoria leaf spot,
Tomato verticulium wilt.
Expert Ground-truth annotations, includ.ing soil health, humidity, nutrient deficiency, and pathological reports. Validated: 
 
Chilli, papaya, and tomato are economically important crops that are highly vulnerable to various diseases affecting leaves and fruits, leading to significant yield losses. Recent advances in artificial intelligence and deep learning have enabled automated plant disease detection; however, the performance of these models strongly depends on the availability of diverse and well-annotated datasets.

To address this need, a three-crop disease image dataset comprising chilli, papaya, and tomato is presented. The dataset includes healthy and diseased samples captured under real-field conditions, covering variations in illumination, background, and disease severity. This dataset aims to support the development of robust multi-crop and multi-disease classification models and contribute to precision agriculture and intelligent plant health monitoring systems.
DOI: 10.17632/sn26238r25
title: Mental Health Help Indication Dataset (Tweet X)

description: 📌 Context

Mental health issues are increasingly discussed on social media platforms. This dataset was created to support research in identifying textual indications of individuals who may require professional mental health assistance, particularly through posts on Social Media X.

📊 Content

The dataset consists of text data collected from Social Media X and automatically labeled to indicate whether a post suggests a potential need for professional mental health support.
Each record includes:

Text content

Automatically generated label

Additional metadata (if applicable)

This dataset is intended for text classification, NLP experimentation, and BERT hyperparameter analysis.

🎯 Purpose

This dataset was developed as part of an academic capstone project to analyze the impact of BERT hyperparameter tuning on classification performance in the mental health domain.

⚠️ Ethical Considerations

The data is intended for research and educational purposes only

Labels are automatically generated and do not represent clinical diagnoses

User identities have been anonymized

The dataset should not be used for real-world mental health diagnosis or intervention
DOI: 10.17632/sn26238r25.1
title: Mental Health Help Indication Dataset (Tweet X)

description: 📌 Context

Mental health issues are increasingly discussed on social media platforms. This dataset was created to support research in identifying textual indications of individuals who may require professional mental health assistance, particularly through posts on Social Media X.

📊 Content

The dataset consists of text data collected from Social Media X and automatically labeled to indicate whether a post suggests a potential need for professional mental health support.
Each record includes:

Text content

Automatically generated label

Additional metadata (if applicable)

This dataset is intended for text classification, NLP experimentation, and BERT hyperparameter analysis.

🎯 Purpose

This dataset was developed as part of an academic capstone project to analyze the impact of BERT hyperparameter tuning on classification performance in the mental health domain.

⚠️ Ethical Considerations

The data is intended for research and educational purposes only

Labels are automatically generated and do not represent clinical diagnoses

User identities have been anonymized

The dataset should not be used for real-world mental health diagnosis or intervention
DOI: 10.17632/tjzsbph49x
title: Real-World IQ Dataset for Automatic Radio Modulation Recognition under Multipath Channels

description: This dataset contains real-world complex baseband (IQ) radio signal samples for training and evaluating machine learning models in automatic modulation recognition (AMR).

It includes seven modulation types (BPSK, QPSK, QAM, GMSK, OFDM, NBFM, and WBFM) captured at 2.4 GHz under both clean (line-of-sight) and multipath propagation conditions across signal-to-noise ratio (SNR) levels from 20 dB to 30 dB.

Signals are segmented into fixed-length frames of 1024 IQ samples and stored in HDF5 format. Each frame is annotated with modulation type, channel condition, and SNR value. The dataset is suitable for benchmarking AMR performance, robustness analysis under realistic channel impairments, and reproducible research in wireless signal processing and cognitive radio.

A baseline convolutional neural network (CNN) is provided, achieving approximately 84% classification accuracy on the test set.
DOI: 10.17632/tjzsbph49x.2
title: Real-World IQ Dataset for Automatic Radio Modulation Recognition under Multipath Channels

description: This dataset contains real-world complex baseband (IQ) radio signal samples for training and evaluating machine learning models in automatic modulation recognition (AMR).

It includes seven modulation types (BPSK, QPSK, QAM, GMSK, OFDM, NBFM, and WBFM) captured at 2.4 GHz under both clean (line-of-sight) and multipath propagation conditions across signal-to-noise ratio (SNR) levels from 20 dB to 30 dB.

Signals are segmented into fixed-length frames of 1024 IQ samples and stored in HDF5 format. Each frame is annotated with modulation type, channel condition, and SNR value. The dataset is suitable for benchmarking AMR performance, robustness analysis under realistic channel impairments, and reproducible research in wireless signal processing and cognitive radio.

A baseline convolutional neural network (CNN) is provided, achieving approximately 84% classification accuracy on the test set.
DOI: 10.17632/j8mpg3yxpm
title: Data for Deep Learning enabled spectral energy conversion for in-situ exposure measurements

description: Data set for manuscript "Deep Learning enabled spectral energy conversion for in-situ exposure measurements". Monte Carlo simulation raw data files are found as txtm files whereas compiled response matrices and source parameter information are found as csv files. Base training python code is included for the deep learning model.
DOI: 10.17632/j8mpg3yxpm.2
title: Data for Deep Learning enabled spectral energy conversion for in-situ exposure measurements

description: Data set for manuscript "Deep Learning enabled spectral energy conversion for in-situ exposure measurements". Monte Carlo simulation raw data files are found as txtm files whereas compiled response matrices and source parameter information are found as csv files. Base training python code is included for the deep learning model.
DOI: 10.17632/c22yvxp6rn
title: Percentages (%) of the pollen in different fecal samples on the Qinghai-Tibet Plateau

description: We collected 165 fecal samples from 7 species of wild herbivores on the Qinghai-Xizang Plateau and conducted pollen analysis. This dataset contains the pollen percentage content of 7 herbivorous animals.
DOI: 10.17632/c22yvxp6rn.2
title: Percentages (%) of the pollen in different fecal samples on the Qinghai-Tibet Plateau

description: We collected 165 fecal samples from 7 species of wild herbivores on the Qinghai-Xizang Plateau and conducted pollen analysis. This dataset contains the pollen percentage content of 7 herbivorous animals.
DOI: 10.17632/4hn5kcgr67
title: Asociación de factores fisicoquímicos in situ con la presencia de bacterias y parásitos en las aguas de piscinas de hoteles

description: Los datos generados en el estudio “Asociación de factores fisicoquímicos in situ con la presencia de bacterias y parásitos en las aguas de piscinas de hoteles” corresponden a información primaria, obtenida mediante muestreo directo en piscinas de hoteles durante un periodo de diez meses.

El conjunto de datos incluye:

Datos fisicoquímicos in situ: pH, cloro residual libre y temperatura del agua, medidos con equipos portátiles calibrados en cada punto de muestreo.

Datos microbiológicos: recuentos de aerobios mesófilos (UFC/100 mL), presencia/ausencia de coliformes totales y fecales, y cuantificación de Pseudomonas aeruginosa mediante la técnica del Número Más Probable (NMP).

Datos parasitológicos: identificación cualitativa de parásitos intestinales y amebas de vida libre, basada en observación microscópica directa y cultivo en agar no nutritivo.

Datos contextuales: fecha de muestreo, código del hotel, número de muestra y categorización de cumplimiento normativo según la Resolución 1618 de 2010 (Colombia).

Los datos se registraron inicialmente en formatos físicos de laboratorio (hojas de campo y cuadernos de registro), y posteriormente fueron digitalizados en hojas de cálculo electrónicas (Microsoft Excel) para su organización, depuración y análisis estadístico.

El análisis de los datos se realizó utilizando el software GraphPad Prism, aplicando estadística descriptiva, tablas de contingencia, estimaciones de Odds Ratio (OR) y pruebas de significancia estadística (p &lt; 0,05).

Los datos no contienen información personal ni identificable de personas naturales; los hoteles participantes fueron codificados para garantizar la confidencialidad institucional.