cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6278121
title: Ricostruzione digitale del santuario di Esculapio di Nora

description: Ricostruzione digitale del santuario di Eshmun/Esculapio di Nora (Pula, CA), complesso di culto frequentato sin dall'età fenicia e sino alla tarda età romana. Il dataset, funzionale alla valorizzazione delle strutture conservate on site e offsite mediante una webapp, è stato realizzato da Katatexilux modellando il monumento con il software Blender; il modello è stato infine texturizzato e renderizzato con Autodesk 3ds Max. La ricostruzione ha preso le mosse dai rilievi digitali del monumento, dalla planimetria ricostruttiva e dai dati di scavo acquisiti ed elaborati dall'Università di Padova. Il processo ricostruttivo è stato validato mappando le fonti interpretative su immagini 2D equirettangolari della ricostruzione virtuale, definendo campiture cromatiche corrispondenti ai livelli di affidabilità e alle relative fonti. Funzionali alla realizzazione della webapp, sono state prodotte delle maschere semantiche di sintesi relative ai principali elementi ricostruiti e visibili nelle viste equirettangolari prodotte, così come sono state realizzate delle maschere funzionali allo storytelling della ricostruzione.
description: Il progetto e-archeo è stato finanziato da Ales-Ministero della Cultura
DOI: 10.5281/zenodo.6365343
title: Determination of sub-ps lattice dynamics in FeRh thin films

description: Open Access Data for "Determination of sub-ps lattice dynamics in FeRh thin films"
DOI: 10.5281/zenodo.6120285
title: Storytelling del santuario di Esculapio di Nora

description: Storytelling del santuario di Eshmun/Esculapio di Nora (Pula, CA), complesso di culto frequentato sin dall'età fenicia e sino alla tarda età romana. Il dataset, costituito in occasione della realizzazione di una webapp destinata alla fruizione turistica del parco archeologico, comprende: i testi corrispondenti alla narrazione delle viste del santuario disponibili nella webapp (SDE-VIEWS_STORYTELLING); narrazione degli oggetti/elementi architettonici del santuario messi in evidenza nella webapp (SDE-SEMANTIC_MASK_STORYTELLING). I testi sono proposti in lingua italiana e inglese, quest'ultima versione revisionata da NTL - Il Nuovo Traduttore letterario s.c.; inoltre gli stessi testi sono stati letti da attori professionisti e registrati in studio (SDE-audio_ITA_storytelling-wav; SDE-audio_ENG_storytelling-wav).
description: Il progetto e-archeo è stato finanziato da Ales-Ministero della Cultura
DOI: 10.5281/zenodo.6120284
title: Storytelling del santuario di Esculapio di Nora

description: Storytelling del santuario di Eshmun/Esculapio di Nora (Pula, CA), complesso di culto frequentato sin dall'età fenicia e sino alla tarda età romana. Il dataset, costituito in occasione della realizzazione di una webapp destinata alla fruizione turistica del parco archeologico, comprende: i testi corrispondenti alla narrazione delle viste del santuario disponibili nella webapp (SDE-VIEWS_STORYTELLING); narrazione degli oggetti/elementi architettonici del santuario messi in evidenza nella webapp (SDE-SEMANTIC_MASK_STORYTELLING). I testi sono proposti in lingua italiana e inglese, quest'ultima versione revisionata da NTL - Il Nuovo Traduttore letterario s.c.; inoltre gli stessi testi sono stati letti da attori professionisti e registrati in studio (SDE-audio_ITA_storytelling-wav; SDE-audio_ENG_storytelling-wav).
description: Il progetto e-archeo è stato finanziato da Ales-Ministero della Cultura
DOI: 10.6084/m9.figshare.19367933.v1
title: Visual Near-Duplicates Detection in the Context of Social Media (Dataset)

description: The dataset of the paper: ``Dataset and Case Studies for Visual Near-Duplicates Detection in the Context of Social Media'', by Hana Matatov, Mor Naaman, and Ofra Amir.<br>See the Github repository for details:https://github.com/sTechLab/Visual-Near-Duplicates-Detection-in-the-Context-of-Social-Media<br><br>See the associated paper on arXiv:https://arxiv.org/abs/2203.07167<br>
DOI: 10.6084/m9.figshare.19375274
title: Supplement Tables

description: Supplement Tables of Rce genome
DOI: 10.6084/m9.figshare.19375274.v1
title: Supplement Tables

description: Supplement Tables of Rce genome
DOI: 10.48370/ofd/fsf6uf/hzio23
title: Orchesia minor.jpg

description: :unav
DOI: 10.48370/ofd/fsf6uf
title: Orchesia minor (Walker, 1837), C-528

description: Coleoptera collection
DOI: 10.5517/ccdc.csd.cc23mv5s
title: CCDC 1955485: Experimental Crystal Structure Determination

description: Related Article: Behnaz Farajpour, Abdolali Alizadeh|2022|RSC Advances|12|7262|doi:10.1039/D2RA00594H
DOI: 10.5517/ccdc.csd.cc26tm6w
title: CCDC 2050408: Experimental Crystal Structure Determination

description: Related Article: Kelsie E. Wentz, Andrew Molino, Sarah L. Weisflog, Aishvaryadeep Kaur, Diane A. Dickie, David J. D. Wilson, Robert J. Gilliard|2021|Angew.Chem.,Int.Ed.|60|13065|doi:10.1002/anie.202103628
DOI: 10.5517/ccdc.csd.cc26tm7x
title: CCDC 2050409: Experimental Crystal Structure Determination

description: Related Article: Kelsie E. Wentz, Andrew Molino, Sarah L. Weisflog, Aishvaryadeep Kaur, Diane A. Dickie, David J. D. Wilson, Robert J. Gilliard|2021|Angew.Chem.,Int.Ed.|60|13065|doi:10.1002/anie.202103628
DOI: 10.5517/ccdc.csd.cc26tm8y
title: CCDC 2050410: Experimental Crystal Structure Determination

description: Related Article: Kelsie E. Wentz, Andrew Molino, Sarah L. Weisflog, Aishvaryadeep Kaur, Diane A. Dickie, David J. D. Wilson, Robert J. Gilliard|2021|Angew.Chem.,Int.Ed.|60|13065|doi:10.1002/anie.202103628
DOI: 10.5517/ccdc.csd.cc26tm9z
title: CCDC 2050411: Experimental Crystal Structure Determination

description: Related Article: Kelsie E. Wentz, Andrew Molino, Sarah L. Weisflog, Aishvaryadeep Kaur, Diane A. Dickie, David J. D. Wilson, Robert J. Gilliard|2021|Angew.Chem.,Int.Ed.|60|13065|doi:10.1002/anie.202103628
DOI: 10.5517/ccdc.csd.cc26tmb0
title: CCDC 2050412: Experimental Crystal Structure Determination

description: Related Article: Kelsie E. Wentz, Andrew Molino, Sarah L. Weisflog, Aishvaryadeep Kaur, Diane A. Dickie, David J. D. Wilson, Robert J. Gilliard|2021|Angew.Chem.,Int.Ed.|60|13065|doi:10.1002/anie.202103628
DOI: 10.5517/ccdc.csd.cc26tmc1
title: CCDC 2050413: Experimental Crystal Structure Determination

description: Related Article: Kelsie E. Wentz, Andrew Molino, Sarah L. Weisflog, Aishvaryadeep Kaur, Diane A. Dickie, David J. D. Wilson, Robert J. Gilliard|2021|Angew.Chem.,Int.Ed.|60|13065|doi:10.1002/anie.202103628
DOI: 10.5517/ccdc.csd.cc26tmd2
title: CCDC 2050414: Experimental Crystal Structure Determination

description: Related Article: Kelsie E. Wentz, Andrew Molino, Sarah L. Weisflog, Aishvaryadeep Kaur, Diane A. Dickie, David J. D. Wilson, Robert J. Gilliard|2021|Angew.Chem.,Int.Ed.|60|13065|doi:10.1002/anie.202103628
DOI: 10.5517/ccdc.csd.cc26tmf3
title: CCDC 2050415: Experimental Crystal Structure Determination

description: Related Article: Kelsie E. Wentz, Andrew Molino, Sarah L. Weisflog, Aishvaryadeep Kaur, Diane A. Dickie, David J. D. Wilson, Robert J. Gilliard|2021|Angew.Chem.,Int.Ed.|60|13065|doi:10.1002/anie.202103628
DOI: 10.5517/ccdc.csd.cc26tmg4
title: CCDC 2050416: Experimental Crystal Structure Determination

description: Related Article: Kelsie E. Wentz, Andrew Molino, Sarah L. Weisflog, Aishvaryadeep Kaur, Diane A. Dickie, David J. D. Wilson, Robert J. Gilliard|2021|Angew.Chem.,Int.Ed.|60|13065|doi:10.1002/anie.202103628
DOI: 10.5517/ccdc.csd.cc26tmj6
title: CCDC 2050418: Experimental Crystal Structure Determination

description: Related Article: Kelsie E. Wentz, Andrew Molino, Sarah L. Weisflog, Aishvaryadeep Kaur, Diane A. Dickie, David J. D. Wilson, Robert J. Gilliard|2021|Angew.Chem.,Int.Ed.|60|13065|doi:10.1002/anie.202103628
DOI: 10.5517/ccdc.csd.cc26tmk7
title: CCDC 2050419: Experimental Crystal Structure Determination

description: Related Article: Kelsie E. Wentz, Andrew Molino, Sarah L. Weisflog, Aishvaryadeep Kaur, Diane A. Dickie, David J. D. Wilson, Robert J. Gilliard|2021|Angew.Chem.,Int.Ed.|60|13065|doi:10.1002/anie.202103628
DOI: 10.5517/ccdc.csd.cc27134k
title: CCDC 2056637: Experimental Crystal Structure Determination

description: Related Article: Kelsie E. Wentz, Andrew Molino, Sarah L. Weisflog, Aishvaryadeep Kaur, Diane A. Dickie, David J. D. Wilson, Robert J. Gilliard|2021|Angew.Chem.,Int.Ed.|60|13065|doi:10.1002/anie.202103628
DOI: 10.5517/ccdc.csd.cc27481q
title: CCDC 2059672: Experimental Crystal Structure Determination

description: Related Article: Dominik Natke, Annika Preiss, Stephen Klimke, Takuya Shiga, Roman Boca, Masaaki Ohba, Hiroki Oshio, Franz Renz|2021|Eur.J.Inorg.Chem.|2021|1498|doi:10.1002/ejic.202100081
DOI: 10.5517/ccdc.csd.cc27488y
title: CCDC 2059679: Experimental Crystal Structure Determination

description: Related Article: Dominik Natke, Annika Preiss, Stephen Klimke, Takuya Shiga, Roman Boca, Masaaki Ohba, Hiroki Oshio, Franz Renz|2021|Eur.J.Inorg.Chem.|2021|1498|doi:10.1002/ejic.202100081
DOI: 10.5517/ccdc.csd.cc26l555
title: CCDC 2043246: Experimental Crystal Structure Determination

description: Related Article: Berislav Perić, Natalija Pantalon Juraj, Gábor Szalontai, Suzana R. Veličković, Filip M. Veljković, Dražen Vikić-Topić, Srećko I. Kirin|2021|J.Mol.Struct.|1234|130157|doi:10.1016/j.molstruc.2021.130157
DOI: 10.5517/ccdc.csd.cc26l566
title: CCDC 2043247: Experimental Crystal Structure Determination

description: Related Article: Berislav Perić, Natalija Pantalon Juraj, Gábor Szalontai, Suzana R. Veličković, Filip M. Veljković, Dražen Vikić-Topić, Srećko I. Kirin|2021|J.Mol.Struct.|1234|130157|doi:10.1016/j.molstruc.2021.130157
DOI: 10.5517/ccdc.csd.cc26l577
title: CCDC 2043248: Experimental Crystal Structure Determination

description: Related Article: Berislav Perić, Natalija Pantalon Juraj, Gábor Szalontai, Suzana R. Veličković, Filip M. Veljković, Dražen Vikić-Topić, Srećko I. Kirin|2021|J.Mol.Struct.|1234|130157|doi:10.1016/j.molstruc.2021.130157
DOI: 10.5517/ccdc.csd.cc27kfx5
title: CCDC 2072347: Experimental Crystal Structure Determination

description: Related Article: Somnath,  Lovely Tyagi,  Ravindra Singh,  Prem Lama,  Kafeel Ahmad Siddiqui|2021|J.Coord.Chem.|74|2227|doi:10.1080/00958972.2021.1950699
DOI: 10.23728/b2share.20727e01b826450ebe59600c315925cb
title: Vis-NIR spectral data and chemical properties of humus samples from forest soils in Saxony

description: The data set consists of 360 samples and contains chemical properties important for humus assessment (pH value, cation exchange capacity, base saturation, C and N content, C/N ratio) as well as spectral absorbance data in the visual and near-infrared range of the electromagnetic spectrum of forest soil samples in Saxony. One part of the samples was collected during the German National Forest Soil Inventory (BZE). Sample acquisition took place in 2006, 2012 and 2014. The data set is supplemented with additional sample points from three test sites representing typical natural areas of Saxony (Wellbrock et. al, 2015, doi:10.3220/REP1449838842000). Data collection was performed using a satellite sampling scheme with eight satellites per point. The data set contains samples from both Oh-horizon and the five cm of the uppermost layer of mineral soil (Ah-horizon). Samples were dried at 40° (0-5 cm) and 60 °(Oh). The dry samples were sieved with a 2 mm mesh, homogenizing the material. All chemical analysis was performed by the laboratory of Sachsenforst public enterprise, following standards of forest soil chemical analysis. Spectral data was obtained from 2018 - 2020 using Veris vis-NIR Spectrophotometer by Veris Technologies (spectral resolution: 6 nm), To capture the samples variability, 10 measures were taken, rotating the samples after every measurement. Then, the mean of the single measures was formed. The data was used to predict humus properties for forest soil mapping and monitoring by vis-NIR spectroscopy. Supplement to: Thomas, F.; Petzold, R.; Landmark, S.; Mollenhauer, H.; Becker, C.; Werban, U. Estimating Forest Soil Properties for Humus Assessment—Is Vis-NIR the Way to Go? Remote Sens. 2022, 14, 1368. https://doi.org/10.3390/rs14061368
DOI: 10.6084/m9.figshare.19292054
title: Mash distances of genomic k-mer sketches of Beta accessions

description: Distance matrices used to calculate phylogenetic trees in the context of the publication "Genomic distances reveal relationships of wild and cultivated beets".
DOI: 10.6084/m9.figshare.19365551
title: Coral shape and size variables from photogrammetry and scanner 3D models.

description: Set of morphological and size related traits from 12 coral species and five morphotypes: arborescent, digitate, foliose, massive, and submissive. Models were constructed using photogrammetry and scanner. The same coral skeletons captured by photographs were digitized employing an optical scanner.
DOI: 10.6084/m9.figshare.19222410
title: Mash k-mer sketches of genomic sequences of Beta accessions

description: We provide Mash sketch files for sequenced plant genomes of the genus Beta and related species. The genomes were sequenced with the Illumina technology at a sequencing depth between 4-fold and 7.5-fold coverage per accession (paired-end data).
DOI: 10.6084/m9.figshare.19222410.v1
title: Mash k-mer sketches of genomic sequences of Beta accessions

description: We provide Mash sketch files for sequenced plant genomes of the genus Beta and related species. The genomes were sequenced with the Illumina technology at a sequencing depth between 4-fold and 7.5-fold coverage per accession (paired-end data).
DOI: 10.6073/pasta/ff3228203433211de0d66e1332eecc06
title: Year 2019, 15 minute measurements of stage, water temperature in a small headwater stream draining draining a mainly forested catchment (55% forest + 19% wetland), Cart Cr., Newbury, MA.

description: Year 2019, continuous measurements, every 15 minutes, were made of stage, water temperature in Cart Creek, Newbury, MA, a small headwater stream draining a mainly forested catchment (55% forest + 19% wetland) in the Parker River watershed. Discharge is determined from stage using discharge vs stage regressions.
DOI: 10.6084/m9.figshare.12781142
title: A database of refractive indices and dielectric constants auto-generated using ChemDataExtractor

description: An optical property database of refractive indices and dielectric constants is presented, which comprises a total of 49,076 refractive index and 60,804 dielectric constant data records on 11,054 unique chemicals. The database was auto-generated using the state-of-the-art natural language processing software, ChemDataExtractor, using a corpus of 388,461 scientific papers. The data repository offers a representative overview of the information on linear optical properties that resides in scientific papers from the past 30 years. The database has been prepared in three formats: SQL, JSON and CSV.
DOI: 10.6084/m9.figshare.12781142.v1
title: A database of refractive indices and dielectric constants auto-generated using ChemDataExtractor

description: An optical property database of refractive indices and dielectric constants is presented, which comprises a total of 49,076 refractive index and 60,804 dielectric constant data records on 11,054 unique chemicals. The database was auto-generated using the state-of-the-art natural language processing software, ChemDataExtractor, using a corpus of 388,461 scientific papers. The data repository offers a representative overview of the information on linear optical properties that resides in scientific papers from the past 30 years. The database has been prepared in three formats: SQL, JSON and CSV.
DOI: 10.5281/zenodo.6364607
title: LiDAR metrics generated from Airborne Laser Scanning (ALS) data across the Netherlands

description: This data repository contains the LiDAR metrics generated from country-wide Airborne Laser Scanning (ALS) data from the Netherlands. The LiDAR metrics (10-meter resolution) are derived from AHN3 using Laserfarm workflow. Raw point cloud data can be downloaded here.
DOI: 10.5281/zenodo.6334699
title: LiDAR metrics generated from Airborne Laser Scanning (ALS) data across the Netherlands

description: This data repository contains the LiDAR metrics generated from country-wide Airborne Laser Scanning (ALS) data from the Netherlands. The LiDAR metrics (10-meter resolution) are derived from AHN3 using Laserfarm workflow. Raw point cloud data can be downloaded here.
DOI: 10.5285/002e178b-3b74-4d3d-a353-f17626cce9c8
title: UKGEOS Cheshire - TH0424 Initial Borehole Information Pack

description: The initial borehole information pack from the TH0424 Ground Investigation Borehole drilled as part of the UK Geoenergy Observatories (UKGEOS) Cheshire facility. TH0424 was drilled to TD of 101 m between the 08-Nov-2021 and 30-Nov-2021. Drill core was collected from 2 m – 101 mm with 100 mm diameter. This initial data release pack from BGS contains composite and digital wireline logs alongside daily driller's borehole records. This information pack also contains the Initial Core Scan dataset from the BGS Core Scanning Facility (https://doi.org/10.5285/b06d44e6-324d-4e19-bf78-a4520b9b87c8).
DOI: 10.34740/kaggle/dsv/3313870
title: COVID Vaccination in World (updated daily)
DOI: 10.5281/zenodo.6362422
title: Denoised ECGs from The PhysioNet/Computing in Cardiology Challenge 2020

description: This dataset is a denoised version of the CPSC dataset presented in <em>Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020<sup>1</sup></em>. This dataset was used as part of the article <em>A Lightweight and Interpretable Model to classify Bundle Branch Blocks from ECG Signals.</em> 1)Perez Alday, E. A., Gu, A., Shah, A., Liu, C., Sharma, A., Seyedi, S., Bahrami Rad, A., Reyna, M., & Clifford, G. D. (2020). Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 (version 1.0.1). <em>PhysioNet</em>. https://doi.org/10.13026/f4ab-0814.
DOI: 10.5281/zenodo.6362421
title: Denoised ECGs from The PhysioNet/Computing in Cardiology Challenge 2020

description: This dataset is a denoised version of the CPSC dataset presented in <em>Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020<sup>1</sup></em>. This dataset was used as part of the article <em>A Lightweight and Interpretable Model to classify Bundle Branch Blocks from ECG Signals.</em> 1)Perez Alday, E. A., Gu, A., Shah, A., Liu, C., Sharma, A., Seyedi, S., Bahrami Rad, A., Reyna, M., & Clifford, G. D. (2020). Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 (version 1.0.1). <em>PhysioNet</em>. https://doi.org/10.13026/f4ab-0814.
DOI: 10.5281/zenodo.6365380
title: Mnemiopsis leidyi SPAdes preassembly

description: .
DOI: 10.5281/zenodo.6365379
title: Mnemiopsis leidyi SPAdes preassembly

description: .
DOI: 10.48370/ofd/xdfutl
title: Zilora obscura (Fabricius, 1794), C-529

description: Coleoptera collection
DOI: 10.6084/m9.figshare.19375730.v1
title: Data for: Vetch 2018 risk assessment

description: All data for the manuscript titled: <b>Risk assessment for non-crop legumes as hosts for Pea Enation Mosaic Virus and the aphid vector <i>Acyrothosiphon pisum</i>: a community ecology approach</b><b><br></b><b><br></b>
DOI: 10.6084/m9.figshare.19375730
title: Data for: Vetch 2018 risk assessment

description: All data for the manuscript titled: <b>Risk assessment for non-crop legumes as hosts for Pea Enation Mosaic Virus and the aphid vector <i>Acyrothosiphon pisum</i>: a community ecology approach</b><b><br></b><b><br></b>
DOI: 10.48370/ofd/jusvll/0vdal1
title: Orchesia micans.jpg

description: :unav
DOI: 10.48370/ofd/jusvll
title: Orchesia micans (Panzer, 1793), C-530

description: Coleoptera collection
DOI: 10.5281/zenodo.5528912
title: Development of a Low-Cost Method for Quantifying Microplastics in Soils and Compost Using Near-Infrared Spectroscopy

description: Datasets and scripts for data evaluation
description: {"references": ["Wander et al 2022 Meas. Sci. Technol. https://doi.org/10.1088/1361-6501/ac5e5f"]}
DOI: 10.5281/zenodo.5528911
title: Development of a Low-Cost Method for Quantifying Microplastics in Soils and Compost Using Near-Infrared Spectroscopy

description: Datasets and scripts for data evaluation
description: {"references": ["Wander et al 2022 Meas. Sci. Technol. https://doi.org/10.1088/1361-6501/ac5e5f"]}
DOI: 10.5281/zenodo.6361733
title: Radiomics metrics combined with clinical data in the surgical management of early-stage (cT1-T2 N0) of tongue squamous cell carcinomas: a preliminary study

description: We uploaded the clinical and the hematological parameters of enrolled patients in the study "Radiomics metrics combined with clinical data in the surgical management of early-stage (cT1-T2 N0) of tongue squamous cell carcinomas: a preliminary study" accepted on Biology journal. Clinical and hematological parameters include: age; gender; DOI, NLR; PLR; LMR; SIRI; SII; T stage; grading; metastatic lymph nodes; perineural infiltration; vascular infiltration.
DOI: 10.5281/zenodo.6361732
title: Radiomics metrics combined with clinical data in the surgical management of early-stage (cT1-T2 N0) of tongue squamous cell carcinomas: a preliminary study

description: We uploaded the clinical and the hematological parameters of enrolled patients in the study "Radiomics metrics combined with clinical data in the surgical management of early-stage (cT1-T2 N0) of tongue squamous cell carcinomas: a preliminary study" accepted on Biology journal. Clinical and hematological parameters include: age; gender; DOI, NLR; PLR; LMR; SIRI; SII; T stage; grading; metastatic lymph nodes; perineural infiltration; vascular infiltration.
DOI: 10.48370/ofd/gkfv1n/iclppb
title: Orchesia micans.jpg

description: :unav
DOI: 10.48370/ofd/gkfv1n
title: Orchesia micans (Panzer, 1793), C-531

description: Coleoptera collection
DOI: 10.5281/zenodo.5734400
title: Data for "Can Regenerative Agriculture increase national soil carbon stocks? Simulated country-scale adoption of reduced tillage, cover cropping, and ley-arable integration using RothC"

description: R code and supplementary data for soil carbon simulations: "<em>Can Regenerative Agriculture increase national soil carbon stocks? Simulated country-scale adoption of reduced tillage, cover cropping, and ley-arable integration using RothC-26.3</em>"
DOI: 10.5281/zenodo.5734399
title: Data for "Can Regenerative Agriculture increase national soil carbon stocks? Simulated country-scale adoption of reduced tillage, cover cropping, and ley-arable integration using RothC"

description: R code and supplementary data for soil carbon simulations: "<em>Can Regenerative Agriculture increase national soil carbon stocks? Simulated country-scale adoption of reduced tillage, cover cropping, and ley-arable integration using RothC-26.3</em>"
DOI: 10.48370/ofd/fai1og/gnvrvu
title: Orchesia undulata.jpg

description: :unav
DOI: 10.48370/ofd/fai1og
title: Orchesia undulata (Kraatz, 1853), C-532

description: Coleoptera collection
DOI: 10.5281/zenodo.6365496
title: A list of body and object concepts

description: The list includes 784 human body parts and object concepts. The concepts are based on the available concept sets in Concepticon (List et al. 2016, 2021) and were tagged as <em>human body part,</em> <em>animal</em>, <em>clothing</em>, <em>food</em>, <em>household</em> <em>items</em>, <em>instrument</em>, <em>landscape</em>, <em>plant</em>, <em>spatial</em> <em>relation</em>, <em>tool</em>, and <em>vehicle</em>.
DOI: 10.48370/ofd/u5yenc/xab1ez
title: Orchesia fasciata.jpg

description: :unav
DOI: 10.48370/ofd/u5yenc
title: Orchesia fasciata (Illiger, 1798), C-533

description: Coleoptera collection
DOI: 10.5281/zenodo.6338045
title: Desenzano del Garda (BS) - Extended Matrix della Villa Romana

description: Extended Matrix - Desenzano
DOI: 10.5281/zenodo.6047618
title: Desenzano del Garda (BS) - Extended Matrix della Villa Romana

description: Extended Matrix - Desenzano
DOI: 10.5281/zenodo.6047571
title: Sirmione (BS) - Rilievi e scansione 3D delle Grotte di Catullo

description: Rilievi e scansione 3D - Grotte di Catullo