cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/mny-j6x-ner
title: Allium ericetorum Thore

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/0fa-0h1-464
title: Crataegus microphylla K. Koch

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/tz2-apt-adf
title: Crataegus azarolus var. aronia L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/m0l-d65-7kl
title: Crataegus laevigata (Poir.) DC.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/n63-awx-70g
title: Willemetia stipitata (Jacq.) Dalla Torre

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/65h-y18-z1y
title: Crataegus azarolus var. aronia L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/67j-pzt-jek
title: Crataegus rhipidophylla Gand.

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

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Bryconamericus ecai)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 13 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068366-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/b0b-etf-l79
title: Crataegus azarolus var. aronia L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ykn-ryr-bye
title: Crataegus azarolus var. aronia L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/06g-3xg-f5x
title: Crataegus azarolus var. chlorocarpa (Moris) K. I. Chr.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.17632/5tvnwhsj2p
title: A dataset of labelled device Wi-Fi probe requests for MAC address de-randomization - 2024

description: A Wi-Fi client device can perform an active scan to speed up the connection process by transmitting Probe Request messages periodically. These are management frames of the IEEE 802.11 standard. The process of capturing these messages is called sniffing and can be performed using a Wi-Fi interface set in monitor mode and tuned to the same channel (or an adjacent channel) where the transmission occurred. Since these messages are not encrypted, they can be used to implement device counting algorithms based on MAC address analysis. However, to prevent tracking of device owners, major operating system producers have developed MAC address randomization functionalities. Devices that periodically and randomly change their physical address pose a challenge to counting algorithms, which must then perform additional steps to cluster probe requests according to the source device through analysis of appropriate message features. 

Our dataset is divided into two parts: 

- Anechoic Chamber Data Collection: Data was collected from 22 devices simultaneously in a controlled environment (anechoic chamber) to ensure the absence of external interference. All devices kept the Wi-Fi interface active and the display switched off. Data was collected only on channel 6 for 30 minutes. This data is stored in the "Anechoic chamber" folder and the "Anechoic chamber - info.xlsx" file contains device information.

- Individual Device Data Collection: Data was collected from 18 individual devices on three channels simultaneously and in six different modes, including settings based on display status, Wi-Fi connection, and power saving. Collecting data from individual devices allows for labelling them and associating them with their emitting source. The data was collected in "noisy" environments (a chamber without particular shielding but devoid of other probe request sources within a two-meter radius). Data is filtered to simulate the anechoic chamber environment. Capture files last 30 minutes and cover three non-overlapping channels (1, 6, and 11) simultaneously. This data is stored in the "Individual devices" folder and the "Individual devices - info.xlsx" file contains device information.

We collected a total of 215 non-empty files, removing captures that were empty after filtering. The capture device used is a Raspberry Pi with three Wi-Fi dongle interfaces, each assigned to collect data from a specific channel. The main characteristic of this dataset is the subdivision by device, allowing for a more accurate analysis of individual device behaviour in different modes. Additionally, the labelled data can be used to train Machine Learning algorithms or to verify the correct functioning of algorithms aimed at counting devices through probe request analysis in the presence of random MAC addresses.

Note: In version 2, we updated the folder of device L, as it was not correctly filtered.
DOI: 10.3535/3pj-70b-4zy
title: Crataegus azarolus var. aronia L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/8mx-lf1-b2p
title: Crataegus azarolus var. aronia L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.17632/5tvnwhsj2p.2
title: A dataset of labelled device Wi-Fi probe requests for MAC address de-randomization - 2024

description: A Wi-Fi client device can perform an active scan to speed up the connection process by transmitting Probe Request messages periodically. These are management frames of the IEEE 802.11 standard. The process of capturing these messages is called sniffing and can be performed using a Wi-Fi interface set in monitor mode and tuned to the same channel (or an adjacent channel) where the transmission occurred. Since these messages are not encrypted, they can be used to implement device counting algorithms based on MAC address analysis. However, to prevent tracking of device owners, major operating system producers have developed MAC address randomization functionalities. Devices that periodically and randomly change their physical address pose a challenge to counting algorithms, which must then perform additional steps to cluster probe requests according to the source device through analysis of appropriate message features. 

Our dataset is divided into two parts: 

- Anechoic Chamber Data Collection: Data was collected from 22 devices simultaneously in a controlled environment (anechoic chamber) to ensure the absence of external interference. All devices kept the Wi-Fi interface active and the display switched off. Data was collected only on channel 6 for 30 minutes. This data is stored in the "Anechoic chamber" folder and the "Anechoic chamber - info.xlsx" file contains device information.

- Individual Device Data Collection: Data was collected from 18 individual devices on three channels simultaneously and in six different modes, including settings based on display status, Wi-Fi connection, and power saving. Collecting data from individual devices allows for labelling them and associating them with their emitting source. The data was collected in "noisy" environments (a chamber without particular shielding but devoid of other probe request sources within a two-meter radius). Data is filtered to simulate the anechoic chamber environment. Capture files last 30 minutes and cover three non-overlapping channels (1, 6, and 11) simultaneously. This data is stored in the "Individual devices" folder and the "Individual devices - info.xlsx" file contains device information.

We collected a total of 215 non-empty files, removing captures that were empty after filtering. The capture device used is a Raspberry Pi with three Wi-Fi dongle interfaces, each assigned to collect data from a specific channel. The main characteristic of this dataset is the subdivision by device, allowing for a more accurate analysis of individual device behaviour in different modes. Additionally, the labelled data can be used to train Machine Learning algorithms or to verify the correct functioning of algorithms aimed at counting devices through probe request analysis in the presence of random MAC addresses.

Note: In version 2, we updated the folder of device L, as it was not correctly filtered.
DOI: 10.3535/947-vsp-ehv
title: Crataegus azarolus var. aronia L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ev4-z2e-0ke
title: Crataegus azarolus L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/6tp-edg-67y
title: Crataegus azarolus var. aronia L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/126-hes-29b
title: Crataegus laevigata (Poir.) DC.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/75z-ftx-hc7
title: Crataegus laevigata (Poir.) DC.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/e67-tpl-kje
title: Crataegus azarolus var. aronia L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ysf-s4s-k51
title: Crataegus azarolus var. pontica (Koch) K. I. Chr.

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

description: A dataset containing 2013 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Estrilda astrild)",
 "Country is one of (American Samoa, Australia, Christmas Island, Cocos (Keeling) Islands, Cook Islands, Fiji, French Polynesia, Guam, Heard Island and McDonald Islands, Kiribati, Marshall Islands, Micronesia (Federated States of), Nauru, New Caledonia, New Zealand, Niue, Norfolk Island, Northern Mariana Islands, Palau, Papua New Guinea, Pitcairn, Samoa, Solomon Islands, Tokelau, Tonga, Tuvalu, United States Minor Outlying Islands, Vanuatu, Wallis and Futuna)"
 ]
}

 The dataset includes 2013 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068367-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/5dr-y23-j8n
title: Crataegus azarolus var. aronia L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/awa-2s6-mlc
title: Crataegus azarolus var. aronia L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.17632/78h67jgfrt
title: Social Media Use in Disaster Response: Empowering Communities Resilience

description: Social media metadata is employed to investigate the use of two social media platforms, Facebook and X, during the 2021 flood in Belgium, both in the immediate aftermath of the crisis and in the short-term. First, Facebook data is employed to analyze the activities of Facebook community groups established post-crisis over a six-month period. Then, the tweets related to the 2021 flood in Belgium are analyzed. The analytical framework employs (1) a social media data-driven quantitative and qualitative text analysis using topic modeling and sentiment analysis. The findings highlight the different roles played by the two social media platforms. Facebook served as an effective platform to mobilize and organize local communities for immediate and practical support, while Twitter served as a platform for broader global engagement and advocacy. The convergence of results from diverse data sources provides comprehensive insights into the effectiveness and challenges of leveraging social media for community resilience in the aftermath of disaster events.
DOI: 10.3535/epk-qlg-nlk
title: Tortula subulata Hedw.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/exn-xx7-m0m
title: Crataegus azarolus var. aronia L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/m9z-mtd-rzc
title: Crataegus azarolus var. pontica (Koch) K. I. Chr.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/xrl-n7e-mb7
title: Crataegus azarolus var. chlorocarpa (Moris) K. I. Chr.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.17632/78h67jgfrt.2
title: Social Media Use in Disaster Response: Empowering Communities Resilience

description: Social media metadata is employed to investigate the use of two social media platforms, Facebook and X, during the 2021 flood in Belgium, both in the immediate aftermath of the crisis and in the short-term. First, Facebook data is employed to analyze the activities of Facebook community groups established post-crisis over a six-month period. Then, the tweets related to the 2021 flood in Belgium are analyzed. The analytical framework employs (1) a social media data-driven quantitative and qualitative text analysis using topic modeling and sentiment analysis. The findings highlight the different roles played by the two social media platforms. Facebook served as an effective platform to mobilize and organize local communities for immediate and practical support, while Twitter served as a platform for broader global engagement and advocacy. The convergence of results from diverse data sources provides comprehensive insights into the effectiveness and challenges of leveraging social media for community resilience in the aftermath of disaster events.
DOI: 10.3535/215-qt0-cew
title: Tortula subulata Hedw.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/7fr-9j0-qvf
title: Crataegus rhipidophylla Gand.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/f2l-nnp-xym
title: Crataegus azarolus var. aronia L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/b9y-fpr-cmm
title: Tortula subulata Hedw.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/k98-r4b-3fm
title: Tortula subulata Hedw.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/0er-qg6-wyk
title: Crataegus heldreichii Boiss.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/fxm-7dn-g0m
title: Crataegus heldreichii Boiss.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/afp-ds9-ccs
title: Crataegus rhipidophylla Gand.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/yep-t5z-5hs
title: Crataegus laevigata (Poir.) DC.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/kdp-5hy-9dx
title: Crataegus laevigata (Poir.) DC.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/5xb-eg6-0w7
title: Crataegus laevigata (Poir.) DC.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/kb9-jzr-49v
title: Crataegus monogyna Jacq.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/0jc-rxr-aqt
title: Crataegus heldreichii Boiss.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ah8-91w-9q1
title: Crataegus monogyna Jacq.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.17632/zw25md3k5n
title: Survey of AI-based Tourism App Prototype

description: This research tried to study user adoption towards an AI-based tourism mobile application using combination of Technology Acceptance Model and System Usability Scale and the correlation with AI Trust. The data shows list of 77 respondents filling survey about TAM, SUS, and AI Trust in Likert Scale. Online survey was used to gathered the data.
DOI: 10.3535/8ak-6qv-k2j
title: Crataegus laevigata (Poir.) DC.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ltn-jeg-czx
title: Tortula subulata Hedw.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/gqa-vjl-b4e
title: Crataegus laevigata (Poir.) DC.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/nvx-2tz-sl8
title: Crataegus laevigata (Poir.) DC.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.17632/zw25md3k5n.1
title: Survey of AI-based Tourism App Prototype

description: This research tried to study user adoption towards an AI-based tourism mobile application using combination of Technology Acceptance Model and System Usability Scale and the correlation with AI Trust. The data shows list of 77 respondents filling survey about TAM, SUS, and AI Trust in Likert Scale. Online survey was used to gathered the data.
DOI: 10.3535/qqp-48y-lbh
title: Crataegus azarolus L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/vcn-1hr-2qg
title: Crataegus laevigata (Poir.) DC.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/a4y-cck-fty
title: Crataegus heldreichii Boiss.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/y8a-bc6-7ye
title: Crataegus laevigata (Poir.) DC.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/33x-jnl-yg4
title: Crataegus laevigata (Poir.) DC.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/pst-mkm-r1c
title: Tortula subulata Hedw.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/fry-fjg-y1a
title: Crataegus azarolus var. aronia L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/9xm-hyc-6wf
title: Crataegus azarolus var. aronia L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ey3-dj6-eal
title: Crataegus heldreichii Boiss.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/7er-p9t-ccx
title: Crataegus media Bechst.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/d6x-lmz-wav
title: Crataegus laevigata (Poir.) DC.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/hf8-13z-073
title: Crataegus azarolus var. aronia L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ner-sgd-tf2
title: Crataegus wilsonii Sarg.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/k0l-1kf-0fr
title: Crataegus microphylla K. Koch

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/4m8-wy4-kmb
title: Crataegus laevigata (Poir.) DC.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/c0s-hxv-hat
title: Crataegus laevigata (Poir.) DC.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.17632/p49ncrb39k.1
title: Data & R Script for “Blurred Boundaries: Exploring the Complexity of the Production System at the Luomaqiao Kiln in Yuan-Dynasty Jingdezhen”

description: This deposit provides all raw and supplementary geochemical datasets (LA‑ICP‑MS measurements of ceramic paste and glaze) and the master R script (run_all.R) used to reproduce the analyses in Xu et al. (2025), “Blurred Boundaries: Exploring the Complexity of the Production System at the Luomaqiao Kiln in Yuan‑Dynasty Jingdezhen.” Journal of Archaeological Science. https://doi.org/10.1016/j.jas.2025.106328

Contents:

 data/raw/

 Dataset_S1.csv: LA‑ICP‑MS elemental concentrations of ceramic paste

 Dataset_S2.csv: LA‑ICP‑MS elemental concentrations of ceramic glaze

 data/supplementary/

 Dataset_S3.csv: Catalogue of porcelain samples

 Dataset_S4.csv: Mahalanobis‑based group membership probabilities for paste samples

 Dataset_S5.csv: Mean, SD, and RSD of elemental concentrations by claw category

 run_all.R: Master R script (installs dependencies, processes data, runs HCA/PCA, and generates Figures 4–13 and Tables 1–2)

 README.md: Project overview, file map, usage instructions, and software environment

Reproducibility & Requirements:

 R ≥ 4.4.0 (download at https://cran.r-project.org/)

 CRAN packages: here, dplyr, tidyr, ggplot2, dendextend, tibble, factoextra, ggrepel, ggpubr, stringr

 Running run_all.R will install all required packages, regenerate all manuscript figures and tables, and write a session_info.txt file into results/ for full provenance.
DOI: 10.3535/9jc-djs-9ej
title: Crataegus azarolus var. aronia L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/yhf-3zd-7yz
title: Crataegus monogyna Jacq.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/2gp-mkr-0ld
title: Crataegus laevigata (Poir.) DC.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/qav-dzm-eej
title: Crataegus microphylla K. Koch

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/zsw-s80-92c
title: Crataegus laevigata (Poir.) DC.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/0kw-b4m-sy4
title: Crataegus monogyna Jacq.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/m10-r8g-37b
title: Crataegus monogyna Jacq.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/dm4-9s0-b3z
title: Crataegus laevigata (Poir.) DC.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/zbv-wkx-t77
title: Crataegus laevigata (Poir.) DC.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/9cx-a29-qg9
title: Crataegus monogyna Jacq.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/efc-z3z-kca
title: Crataegus laevigata (Poir.) DC.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/qqm-zbh-dan
title: Allium ochroleucum Waldst. & Kit.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/84d-zlb-wmv
title: Crataegus azarolus L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/cgn-1lb-gvj
title: Crataegus laevigata (Poir.) DC.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/c0w-z0e-z4d
title: Crataegus azarolus L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/hem-pbv-t0d
title: Tortula subulata Hedw.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/sxw-a4b-gca
title: Crataegus wilsonii Sarg.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/vrj-esg-9xa
title: Crataegus azarolus L.

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