cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/zrc-me4-0xg
title: Diospyros abyssinica (Hiern) F.White

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/j19-ntg-vjf
title: Ceratopteris richardii Brongn.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/wer-ewn-0xt
title: Pulvinodecton kurzii (Kremp.) Henssen & G. Thor

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/6ks-wls-tq2
title: Mimosa polydactyla Humb. & Bonpl. ex Willd.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/mq7-qx6-52p
title: Isertia coccinea (Aubl.) J.F.Gmel.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.17632/s28bvjhksj
title: Choosing Between City and Suburb: How Urbanization Shapes Graduates' Housing Preferences

description: Data availability updated per guidelines_Choosing Between City and Suburb: How Urbanization Shapes Graduates' Housing Preferences
DOI: 10.3535/vds-mkc-hxz
title: Andropogon abyssinicus R.Br. ex Fresen.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.17632/s28bvjhksj.1
title: Choosing Between City and Suburb: How Urbanization Shapes Graduates' Housing Preferences

description: Data availability updated per guidelines_Choosing Between City and Suburb: How Urbanization Shapes Graduates' Housing Preferences
DOI: 10.3535/zpc-9tr-k8k
title: Hyparrhenia papillipes (Hochst. ex A.Rich.) Andersson ex Stapf

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/9s2-qph-ffx
title: Heteropogon contortus (L.) P.Beauv. ex Roem. & Schult.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/p5v-xay-5gs
title: Mimosa pigra L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.17632/mnmb7m7hzz
title: Macrophage-driven metabolic reprogramming orchestrates neuro-osteogenic coupling in mandibular repair

description: This dataset accompanies the study,: "Macrophage-driven metabolic reprogramming orchestrates neuro-osteogenic coupling in mandibular repair"
DOI: 10.3535/l80-ecv-jc2
title: Erica gracilipes Guthrie & Bolus

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/xx9-3b3-263
title: Phyllocharis orbicularis (Fr.) S.H. Jiang, Lücking & Sérus.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/1qv-cqj-5pt
title: Dichapetalum staudtii Engl.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/4t0-4w8-tm7
title: Hyparrhenia papillipes (Hochst. ex A.Rich.) Andersson ex Stapf

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.17632/mnmb7m7hzz.1
title: Macrophage-driven metabolic reprogramming orchestrates neuro-osteogenic coupling in mandibular repair

description: This dataset accompanies the study,: "Macrophage-driven metabolic reprogramming orchestrates neuro-osteogenic coupling in mandibular repair"
DOI: 10.3535/gvw-qpw-qr9
title: Hyparrhenia papillipes (Hochst. ex A.Rich.) Andersson ex Stapf

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/qbg-200-y5r
title: Hyparrhenia papillipes (Hochst. ex A.Rich.) Andersson ex Stapf

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/mlq-ay0-ja7
title: Eschweilera ovata (Cambess.) Mart. ex Miers

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.17632/w5fcvyj398
title: Chinese Brewed Vinegar Dataset from Handheld Electronic Nose

description: This dataset was collected using a custom-designed handheld electronic nose (e-nose) device equipped with eight MOS gas sensors. It includes six types of brewed vinegar, each bearing the title of "China Time-Honored Brand," specifically: Jiangsu Hengshun, Sichuan Baoning, Tianjin Tianli, Shanxi Laifu, Liaoning Gaoqiao, and Shanxi Donghu, which are labeled as JSHS, SCBN, TJTL, SXLF, LNGQ, and SXDH, respectively. 

The data were recorded at a sampling rate of 20 samples per second via the 12-bit ADC on the ESP32-S3 microcontroller, capturing vinegar odor measurements consisting of 4500 data points per sensor across the eight-sensor array (MQ136, MQ9B, MQ7B, MQ2, MQ8, MQ138, MQ137, and MQ5). Each sensor is coupled with a 4.7 kΩ resistor to form a half-bridge circuit, with a reference voltage maintaining the circuit at 2.5 V. The dataset is organized into six folders—JSHS, SCBN, TJTL, SXLF, LNGQ, and SXDH—each containing 25 samples in Excel format, which reflect the characteristic response of the sensor array to the corresponding vinegar odor.

For further information, kindly refer to our research paper: Xin Weng, Jun Fu, Jiayu Ye, Ruifen Hu, Jieyu Yin, Bowen Zhao, Ruo He. OdorNet: A lightweight odor recognition method for TinyML in handheld electronic noses using spatiotemporal pseudo-images. Sensors and Actuators B: Chemical, 2025, 444(1): 138393. (https://doi.org/10.1016/j.snb.2025.138393).
DOI: 10.3535/wrk-als-6hv
title: Eschweilera coriacea (DC.) S.A.Mori

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/x8b-24a-hj3
title: Andropogon abyssinicus R.Br. ex Fresen.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/4pp-7jf-s9y
title: Verrucaria

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ejl-9zj-3ve
title: Senega gracilis (Kunth) J. F. B. Pastore

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.17632/w5fcvyj398.2
title: Chinese Brewed Vinegar Dataset from Handheld Electronic Nose

description: This dataset was collected using a custom-designed handheld electronic nose (e-nose) device equipped with eight MOS gas sensors. It includes six types of brewed vinegar, each bearing the title of "China Time-Honored Brand," specifically: Jiangsu Hengshun, Sichuan Baoning, Tianjin Tianli, Shanxi Laifu, Liaoning Gaoqiao, and Shanxi Donghu, which are labeled as JSHS, SCBN, TJTL, SXLF, LNGQ, and SXDH, respectively. 

The data were recorded at a sampling rate of 20 samples per second via the 12-bit ADC on the ESP32-S3 microcontroller, capturing vinegar odor measurements consisting of 4500 data points per sensor across the eight-sensor array (MQ136, MQ9B, MQ7B, MQ2, MQ8, MQ138, MQ137, and MQ5). Each sensor is coupled with a 4.7 kΩ resistor to form a half-bridge circuit, with a reference voltage maintaining the circuit at 2.5 V. The dataset is organized into six folders—JSHS, SCBN, TJTL, SXLF, LNGQ, and SXDH—each containing 25 samples in Excel format, which reflect the characteristic response of the sensor array to the corresponding vinegar odor.

For further information, kindly refer to our research paper: Xin Weng, Jun Fu, Jiayu Ye, Ruifen Hu, Jieyu Yin, Bowen Zhao, Ruo He. OdorNet: A lightweight odor recognition method for TinyML in handheld electronic noses using spatiotemporal pseudo-images. Sensors and Actuators B: Chemical, 2025, 444(1): 138393. (https://doi.org/10.1016/j.snb.2025.138393).
DOI: 10.3535/hrm-87m-fs6
title: Andropogon hirtus L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/sq7-05c-72e
title: Eschweilera coriacea (DC.) S.A.Mori

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/hgc-zzv-x1k
title: Astrothelium papulosum (Nyl.) Aptroot & Lücking

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ynf-zjr-9l5
title: Cymbopogon giganteus Chiov.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.17632/95c4sdrhg9
title: Data for "Mechanistic insights into martensite- and DSA coupling in medium-Mn steel: A multiscale experimental and modeling approach"

description: 1. The EBSD data gives the microstructure information of specimens tested at various conditions.
2. The Curves includes nanoindentation, stress-strain, martensite content, Schmid factor, martensite PEEQ and Smises, C and Mn distribution, binomial analysis of Mn.
DOI: 10.3535/dhb-y3l-k83
title: Andropogon gayanus var. bisquamulatus (Hochst.) Hack.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.6084/m9.figshare.27855306
title: Raw data to analyze the effects of the timing of grazing on insect diversity in mountain grasslands

description: Raw data to run the R-code provided in the github repository: https://github.com/berndpanassiti/Cooccurrence.Raw data is provided as separate csv tables in a zip file.
DOI: 10.3535/an6-l3z-2c1
title: Hyparrhenia umbrosa (Hochst.) Andersson ex Clayton

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/nyq-w81-20q
title: Sphagnum sparsum Hampe

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.6084/m9.figshare.27855306.v1
title: Raw data to analyze the effects of the timing of grazing on insect diversity in mountain grasslands

description: Raw data to run the R-code provided in the github repository: https://github.com/berndpanassiti/Cooccurrence.Raw data is provided as separate csv tables in a zip file.
DOI: 10.17632/95c4sdrhg9.1
title: Data for "Mechanistic insights into martensite- and DSA coupling in medium-Mn steel: A multiscale experimental and modeling approach"

description: 1. The EBSD data gives the microstructure information of specimens tested at various conditions.
2. The Curves includes nanoindentation, stress-strain, martensite content, Schmid factor, martensite PEEQ and Smises, C and Mn distribution, binomial analysis of Mn.
DOI: 10.3535/k7e-qf5-qd8
title: Laurophyllus capensis Thunb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/kha-nlr-yb7
title: Allowissadula holosericea (Scheele) D. M. Bates

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/4vs-8w4-k2q
title: Lecanorales

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/dqb-zzm-1kf
title: Eschweilera ovata (Cambess.) Mart. ex Miers

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.17632/46cptph8zd
title: Research data

description: Data on soil properties, carbon fractions, microbial necromass carbon, lignin, phospholipid fatty acids, and enzyme activities.
DOI: 10.3535/04m-a23-qr0
title: Setaria scheelei (Steud.) Hitchc.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/egz-5y6-sd2
title: Stachys byzantina K.Koch

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/kt9-4cc-3t6
title: Luzula ulei Buchenau

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.17632/46cptph8zd.1
title: Research data

description: Data on soil properties, carbon fractions, microbial necromass carbon, lignin, phospholipid fatty acids, and enzyme activities.
DOI: 10.3535/3ce-53h-00x
title: Luzula ulei Buchenau

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/at8-f6c-5zn
title: Bothriospermum chinense Bunge

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/kl2-mjt-et7
title: Papaver decaisnei Hochst. & Steud. ex Boiss.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/nqr-kvv-2yc
title: Luzula caricina E. Mey.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/jz9-09b-4hz
title: Stachys byzantina K.Koch

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/tnn-mm5-8se
title: Physaria engelmannii (A. Gray) O'Kane & Al-Shehbaz

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.17632/nxnbwwc7bn.2
title: Bengali Abusive Language Based on Feminism

description: Digital platforms facilitate creating, sharing, and exchanging content and information through virtual networks and communities. There are also instances of offensive remarks made in these digital venues, which can undermine constructive discourse and promote cyberbullying. Regrettably, in Bangladesh, feminist voices often face disproportionate harassment and abuse on digital platforms. This offensive language not only creates online violence but also prevents women’s freedom. However, highlighting offensive language helps feminism show how words support inequality and works towards more respectful communication for everyone. 

To support the researchers in Natural Language Processing (NLP), a comprehensive dataset has been created that consists of 6,830 abusive Bengali-language comments collected from social media platforms—Facebook, Instagram, and Twitter—focused on feminist issues and gender-related discussions. The dataset was assembled to aid studies in hate speech analysis, abusive language identification, and sociolinguistic patterns of online gender-based harassment in low-resource languages like Bangla.

In order to gather data, public postings, hashtags, and discussion threads related to feminism, gender equality, and women's rights had to be found. Each comment has been manually labeled as positive, negative (abusive), or neutral, based on its sentiment and relevance to feminist discourse, and it was reviewed by native Bangla speakers to ensure the presence of offensive content and contextual relevance.
DOI: 10.3535/jw4-1e2-3zz
title: Luzula caricina E. Mey.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ddv-1le-3vz
title: Ocellularia fuscescens (Kremp.) Lücking & Álvaro

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/fps-0cr-ah8
title: Graphis

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/1d5-js2-009
title: Ouratea striata (Tiegh.) Urb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/sr8-ttl-rzt
title: Sedum urvillei DC.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/xl3-9tk-5bz
title: Senega appressa (Benth.) J. F. B. Pastore

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/bf3-8xm-kb8
title: Graphis

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/eby-j5t-bzx
title: Hieracium piliferum subsp. glanduliferum (Hoppe) Zahn

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.15468/dl.5ym2ur
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sabicea crystallina crystallina"
 ]
}

 The dataset includes 36 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061968-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/d2xybhfw59
title: TLD-BD: A Comprehensive Tea Leaf Image Dataset for Leaf Condition Analysis

description: The GreenPulse-T dataset consists of high-quality images of tea leaves collected from two prominent tea estates in Sreemangal, Moulvibazar, Bangladesh: M.R. Khan Tea Estate (coordinates: 24.27257, 91.75938) and Finlay Tea Estate (coordinates: 24.30334, 91.74249). Data collection took place over the course of eight days, from December 9 to December 16, 2024. The estates were carefully selected to represent diverse cultivation environments, ensuring the dataset includes a wide variety of tea leaf conditions observed in natural settings.

Images in the dataset depict both healthy and diseased tea leaves captured under real-world field conditions. Photographs were taken at different times of day, resulting in variations in lighting, background, and leaf orientation. This variability enhances the dataset’s practical value, making it suitable for robust machine learning and computer vision applications such as classification, object detection, and disease segmentation. The images were compressed to 480x640 pixels at 96 DPI to make them more accessible and manageable for researchers while preserving the key details necessary for disease detection and analysis.

The dataset is categorized into six classes based on expert assessment: Algal Leaf (301 images), Grey Blight (302 images), Healthy Leaf (435 images), Helopeltis (321 images), Looper Infested (332 images), and Red Spider (316 images), totaling 2007 images. Each image is stored in JPG format and organized into folders according to its respective class label.

This dataset is intended to support researchers, developers, and practitioners working in the fields of plant pathology, agriculture, and artificial intelligence. It can be used for academic research, the development of machine learning models, mobile application development for field diagnosis, and other agricultural technology innovations. Researchers using this dataset are kindly requested to cite it appropriately to acknowledge the effort invested in its collection and curation.
DOI: 10.3535/vpw-wdr-865
title: Hyparrhenia rufa (Nees) Stapf

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/b3c-pbk-gjw
title: Bothriochloa insculpta (Hochst. ex A.Rich.) A.Camus

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/jwb-bnr-5fb
title: Racoplaca tremens (Müll. Arg.) S.H. Jiang, Lücking & J.C. Wei

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.17632/d2xybhfw59.2
title: TLD-BD: A Comprehensive Tea Leaf Image Dataset for Leaf Condition Analysis

description: The GreenPulse-T dataset consists of high-quality images of tea leaves collected from two prominent tea estates in Sreemangal, Moulvibazar, Bangladesh: M.R. Khan Tea Estate (coordinates: 24.27257, 91.75938) and Finlay Tea Estate (coordinates: 24.30334, 91.74249). Data collection took place over the course of eight days, from December 9 to December 16, 2024. The estates were carefully selected to represent diverse cultivation environments, ensuring the dataset includes a wide variety of tea leaf conditions observed in natural settings.

Images in the dataset depict both healthy and diseased tea leaves captured under real-world field conditions. Photographs were taken at different times of day, resulting in variations in lighting, background, and leaf orientation. This variability enhances the dataset’s practical value, making it suitable for robust machine learning and computer vision applications such as classification, object detection, and disease segmentation. The images were compressed to 480x640 pixels at 96 DPI to make them more accessible and manageable for researchers while preserving the key details necessary for disease detection and analysis.

The dataset is categorized into six classes based on expert assessment: Algal Leaf (301 images), Grey Blight (302 images), Healthy Leaf (435 images), Helopeltis (321 images), Looper Infested (332 images), and Red Spider (316 images), totaling 2007 images. Each image is stored in JPG format and organized into folders according to its respective class label.

This dataset is intended to support researchers, developers, and practitioners working in the fields of plant pathology, agriculture, and artificial intelligence. It can be used for academic research, the development of machine learning models, mobile application development for field diagnosis, and other agricultural technology innovations. Researchers using this dataset are kindly requested to cite it appropriately to acknowledge the effort invested in its collection and curation.
DOI: 10.3535/m87-x21-drk
title: Hyparrhenia rufa (Nees) Stapf

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/gql-fk8-lx2
title: Hyparrhenia rufa (Nees) Stapf

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/yan-5xn-em3
title: Hieracium villosum Jacq.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/gm4-aml-009
title: Gaultheria erecta Vent.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/zbj-qf9-6jl
title: Euphorbia pergamena Small

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/2eb-t7n-gy8
title: Andropogon gayanus var. bisquamulatus (Hochst.) Hack.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/lbg-ymq-ra3
title: Andropogon amethystinus Steud.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.17632/sbdxrws596
title: Iterative model of the chemical and physical interior of differentiated planetesimals

description: This model consists of two halves, applicable to differentiated planetesimals/asteroids, currently set up to investigate the physical parameters and ferrovolcanic excess pressure generation of asteroid 16 Psyche. 

Firstly, this model calculates physical and chemical parameters of the core and mantle, based on a bulk composition and its corresponding density as a building block. Input parameters are the mantle density, mantle porosity, bulk composition and its grain density. Mass loss by mantle stripping is calculated to relate the asteroids bulk density with the building block density. Light element partitioning (Ni, P, Si, S, C, and O) between the mantle and the core is calculated according to experimentally derived partitioning equations. These calculations are done in an iterative process as there are feedback loops in the calculation of partitioning parameters and resulting core compositions. 

Secondly, this model calculates excess pressure generation in the core. This is done by calculating concentric FeNi outer core growth and the resulting trapping of progressively light-element enriched melt. The buoyancy of the light-element enriched melt generates an excess pressure, based on the density difference with the solid outer core and the outer core thickness. This pressure is used to calculate how far through the mantle a column of FeS melt can be carried, and whether ferrovolcanism can thereby be achieved.

The current version is set up for modelling asteroid 16 Psyche but can be adapted to other differentiated planetesimals. A user guide is included in the Excel file.
DOI: 10.3535/xf2-xfr-1yx
title: Ouratea revoluta (C. Wright ex Griseb.) Engl.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/9nf-nyw-apd
title: Setaria pumila (Poir.) Roem. & Schult.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/h5n-nzs-5jh
title: Euphorbia cheiradenia Boiss. & Hohen.

description: Digital Specimen for the physical specimen hosted at University of Graz.