cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc25t5t0
title: CCDC 2020202: Experimental Crystal Structure Determination

description: Related Article: Bastian Rösch, Thomas Xaver Gentner, Jonathan Eyselein, Alexander Friedrich, Jens Langer, Sjoerd Harder|2020|Chem.Commun.|56|11402|doi:10.1039/D0CC05200K
DOI: 10.5517/ccdc.csd.cc25t5v1
title: CCDC 2020203: Experimental Crystal Structure Determination

description: Related Article: Bastian Rösch, Thomas Xaver Gentner, Jonathan Eyselein, Alexander Friedrich, Jens Langer, Sjoerd Harder|2020|Chem.Commun.|56|11402|doi:10.1039/D0CC05200K
DOI: 10.5517/ccdc.csd.cc25t5w2
title: CCDC 2020204: Experimental Crystal Structure Determination

description: Related Article: Bastian Rösch, Thomas Xaver Gentner, Jonathan Eyselein, Alexander Friedrich, Jens Langer, Sjoerd Harder|2020|Chem.Commun.|56|11402|doi:10.1039/D0CC05200K
DOI: 10.5517/ccdc.csd.cc25t5x3
title: CCDC 2020205: Experimental Crystal Structure Determination

description: Related Article: Bastian Rösch, Thomas Xaver Gentner, Jonathan Eyselein, Alexander Friedrich, Jens Langer, Sjoerd Harder|2020|Chem.Commun.|56|11402|doi:10.1039/D0CC05200K
DOI: 10.5517/ccdc.csd.cc25t5y4
title: CCDC 2020206: Experimental Crystal Structure Determination

description: Related Article: Bastian Rösch, Thomas Xaver Gentner, Jonathan Eyselein, Alexander Friedrich, Jens Langer, Sjoerd Harder|2020|Chem.Commun.|56|11402|doi:10.1039/D0CC05200K
DOI: 10.25505/fiz.icsd.cc26g31v
title: CSD 2039336: Experimental Crystal Structure Determination

description: Related Article: Y. Michiue, H.-W. Son, T. Mori|2020|J.Appl.Crystallogr.|53|1542|doi:10.1107/S1600576720013898
DOI: 10.25505/fiz.icsd.cc26g32w
title: CSD 2039337: Experimental Crystal Structure Determination

description: Related Article: Y. Michiue, H.-W. Son, T. Mori|2020|J.Appl.Crystallogr.|53|1542|doi:10.1107/S1600576720013898
DOI: 10.25505/fiz.icsd.cc26g33x
title: CSD 2039338: Experimental Crystal Structure Determination

description: Related Article: Y. Michiue, H.-W. Son, T. Mori|2020|J.Appl.Crystallogr.|53|1542|doi:10.1107/S1600576720013898
DOI: 10.25505/fiz.icsd.cc26g34y
title: CSD 2039339: Experimental Crystal Structure Determination

description: Related Article: Y. Michiue, H.-W. Son, T. Mori|2020|J.Appl.Crystallogr.|53|1542|doi:10.1107/S1600576720013898
DOI: 10.6084/m9.figshare.12999761
title: Invasion MS

description: Data associated with rain-out shelter experiment looking at invasion dynamics of crop-wild hybrid radish populations. Data includes:- phenological and morphological traits- white flower colour- fluorescence
DOI: 10.6084/m9.figshare.12999761.v1
title: Invasion MS

description: Data associated with rain-out shelter experiment looking at invasion dynamics of crop-wild hybrid radish populations. Data includes:- phenological and morphological traits- white flower colour- fluorescence
DOI: 10.5281/zenodo.3843378
title: Seagrasses excretes sugars to their rhizosphere making them the sweet spots in the sea

description: This repository includes datasets published Sogin et al., Seagrasses excretes sugars to their rhizosphere making them the sweet spots in the sea. Datasets include: Dissolved organic carbon concentrations The percent of dissolve organic matter composed of polyphenols Porewater sugar concentrations Sediment oxygen concentrations Sediment incubation results Data was connected primarily from underneath a seagrass meadow in SantAndra Bay, Elba, Italy (42.808304,10.142891). However, additional sugar concentrations are also obtained from seagrass meadows in Belize and Germany. for exploring the concentrations of sugars, dissolve organic carbon, oxygen and polyphenols occurring in sediments inside and surrounding a <em>Posidonia oceanica</em> seagrass meadow in SantAndra Bay, Italy.
DOI: 10.5281/zenodo.3843377
title: Seagrasses excretes sugars to their rhizosphere making them the sweet spots in the sea

description: This repository includes datasets published Sogin et al., Seagrasses excretes sugars to their rhizosphere making them the sweet spots in the sea. Datasets include: Dissolved organic carbon concentrations The percent of dissolve organic matter composed of polyphenols Porewater sugar concentrations Sediment oxygen concentrations Sediment incubation results Data was connected primarily from underneath a seagrass meadow in SantAndra Bay, Elba, Italy (42.808304,10.142891). However, additional sugar concentrations are also obtained from seagrass meadows in Belize and Germany. for exploring the concentrations of sugars, dissolve organic carbon, oxygen and polyphenols occurring in sediments inside and surrounding a <em>Posidonia oceanica</em> seagrass meadow in SantAndra Bay, Italy.
DOI: 10.5281/zenodo.4300471
title: IPSL_pictrl_surface_fluxes

description: 20 years of daily average outputs from the IPSL_CM5A-LR coupled climate model, in its pre-industrial control configuration. Variables included are zonal and meridional wind stress, net surface heat and freshwater fluxes.
DOI: 10.5281/zenodo.4300470
title: IPSL_pictrl_surface_fluxes

description: 20 years of daily average outputs from the IPSL_CM5A-LR coupled climate model, in its pre-industrial control configuration. Variables included are zonal and meridional wind stress, net surface heat and freshwater fluxes.
DOI: 10.6084/m9.figshare.13313045
title: Database_biographies of the Sverdlovsk oblast officials.xlsx

description: This dataset contains the biographies of the Sverdlovsk Oblast officials (2004-2005; 2019-2020)
DOI: 10.6084/m9.figshare.13313045.v1
title: Database_biographies of the Sverdlovsk oblast officials.xlsx

description: This dataset contains the biographies of the Sverdlovsk Oblast officials (2004-2005; 2019-2020)
DOI: 10.17632/g4d6wkjghk.1
title: IN VITRO EVALUATION OF SURFACE CLEANING METHODS IN TWO DIFFERENT IMPLANT DEFECT ANGULATIONS: A PILOT STUDY

description: Recently, prominence has been given to the use of power abrasive devices to improve the cleaning effectiveness on contaminated implant surfaces, and in an in-vitro study, it has been stated that air powder abrasion is the most efficient and less damaging cleaning modality in comparison to sonic scaler and curette for different defect morphologies15. However, there is a paucity of information on the use of air powder abrasive devices to reach a definite conclusion and it is warranted to perform comparative study designs evaluating the effectiveness. There is a new air-abrasive material called trehalose, a natural noncariogenic disaccharide with a good taste. It is thermostable and approved for use in food processing16. It is highly water-soluble (689g/L) with a pH of 6.4. In one clinical study, subgingival air-polishing with trehalose powder has revealed encouraging clinical outcomes17. Therefore, the aim of this study is to investigate the cleaning potential of an air abrasive device with trehalose powder on implant surfaces in comparison to Er: YAG laser application in an in-vitro model of two different defect angulations.
DOI: 10.34740/kaggle/dsv/1704107
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.25612/837.vkkn9pxxbxqv
title: COVID-19 Registry [July 2020 Snapshot]

description: Data from a research study that provides information on the spread of COVID-19, who is being affected, and how. Survey questions pertain to health and environment.
DOI: 10.5281/zenodo.4300537
title: chameleon cholesky simgrid

description: git-annex in vgarciap@vgarciap:~/Desktop/perf-ev-runtime expSimuGdbTupi1 results - simulated
DOI: 10.5281/zenodo.4300536
title: chameleon cholesky simgrid

description: git-annex in vgarciap@vgarciap:~/Desktop/perf-ev-runtime expSimuGdbTupi1 results - simulated
DOI: 10.5281/zenodo.4300467
title: model data of 75 ma

description: Modeling the effect of the Gangdese Mountains on the Asian climate during the Late Cretaceous.
DOI: 10.5281/zenodo.4300466
title: model data of 75 ma

description: Modeling the effect of the Gangdese Mountains on the Asian climate during the Late Cretaceous.
DOI: 10.6084/m9.figshare.12612188.v2
title: Supplementary-File-S2.xls

description: Taxonomic information of copepods associated bacteriobiome of five different marine copepods<br>
DOI: 10.6084/m9.figshare.12612188.v3
title: Supplementary-File-S2.xls

description: Taxonomic information of copepods associated bacteriobiome of five different marine copepods<br>
DOI: 10.6084/m9.figshare.12612182.v3
title: Supplementary File-S1.xls

description: Copepods associated bacteribiome in five different marine copepods<br>
DOI: 10.25345/c5rn4d
title: MassIVE MSV000086541 - Elucidating the molecular cascades underlying Caribbean coral thermotolerance using proteomic technologies
title: In this work, the proteomes of reef corals (Orbicella faveolata) that had been transplanted (inshore to offshore or offshore to inshore) were characterized in a subset of 35 specimens that were exposed to experimentally elevated temperatures (32C) in the laboratory for one week post-transplantation. An iTRAQ approach was used in which a control, batch-normalizing sample (label 113) was run in each batch of eight samples to control for batch-to-batch variation. Please note that, because the O. faveolata holobiont is approximately 2/3 animal (anthozoan host) and 1/3 plant (Symbiodiniaceae dinoflagellates+other microbes), the accompanying MZID files have been labeled as host (n=5 files) or Sym (n=5 files). To reproduce these results, one must query the MZML file against the respective host (Orbicella faveolata conceptually translated proteome) or symbiont (Symbiodiniaceae conceptually translated proteome) fasta file (conceptually translated proteins from prior transcriptomic analyses). I will post the detailed methodology once the manuscript has been published (or at least once it has been submitted for peer review).
DOI: 10.21227/nye9-7m93
title: Biomedical KEH B

description: a
DOI: 10.5258/10.5258/soton/d1657
title: Supplementary Data for Integration of genomic variation, ileal transcriptomics and longitudinal clinical data in paediatric inflammatory bowel disease

description: James Ashton Thesis Supplementary dataset- These data contain additional datasets (including genomic, transcriptomic and microbiome data), standard operating procedures (including biological sampling, processing and storage) and study paperwork (including PIS, protocol, consent forms and ethical documentation) related the above thesis. These data are intended to support the reading of this thesis.
DOI: 10.25387/g3.13311809
title: Supplemental Material for Lopez-Echartea et al., 2020

description: Supplementary material to the paper Genomic analysis of dibenzofuran-degrading <i>Pseudomonas veronii </i>strain Pvy reveals its biodegradative versatilityJournal: G3: Genes, Genomes, Genetics<br>posted on Dec 1, 2020
DOI: 10.25387/g3.13311809.v1
title: Supplemental Material for Lopez-Echartea et al., 2020

description: Supplementary material to the paper Genomic analysis of dibenzofuran-degrading <i>Pseudomonas veronii </i>strain Pvy reveals its biodegradative versatilityJournal: G3: Genes, Genomes, Genetics<br>posted on Dec 1, 2020
DOI: 10.21227/nd9e-4734
title: Non Linear Battery

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Energy Conversion".In this dataset,
DOI: 10.5517/ccdc.csd.cc23ky8x
title: CCDC 1953659: Experimental Crystal Structure Determination

description: Related Article: Xiao-Qiang Luo, Qiao-Ru Liu, Yong-Jun Han, Ling-Wei Xue|2020|Inorg.Nano-Metal Chem.|50|1021|doi:10.1080/24701556.2020.1732417
DOI: 10.5517/ccdc.csd.cc23s5nr
title: CCDC 1959654: Experimental Crystal Structure Determination

description: Related Article: Yanli Yin, Yunqiang Li, Théo P. Gonçalves, Qiangqiang Zhan, Guanghui Wang, Xiaowei Zhao, Baokun Qiao, Kuo-Wei Huang, Zhiyong Jiang|2020|J.Am.Chem.Soc.|142|19451|doi:10.1021/jacs.0c08329
DOI: 10.5517/ccdc.csd.cc256ny0
title: CCDC 2002412: Experimental Crystal Structure Determination

description: Related Article: Haozhong Liang, Bin Hua, Fan Xu, Li-She Gan, Li Shao, Feihe Huang|2020|J.Am.Chem.Soc.|142|19772|doi:10.1021/jacs.0c10570
DOI: 10.5517/ccdc.csd.cc256nz1
title: CCDC 2002413: Experimental Crystal Structure Determination

description: Related Article: Haozhong Liang, Bin Hua, Fan Xu, Li-She Gan, Li Shao, Feihe Huang|2020|J.Am.Chem.Soc.|142|19772|doi:10.1021/jacs.0c10570
DOI: 10.5517/ccdc.csd.cc24bn7d
title: CCDC 1976443: Experimental Crystal Structure Determination

description: Related Article: Xiu-Fang Mo, Chang-Feng Xiong, Ze-Wen Chen, Chao Liu, Piao He, Hai-Xia Tong, Xiao-Yi Yi|2020|Dalton Trans.|49|12365|doi:10.1039/D0DT00185F
DOI: 10.5517/ccdc.csd.cc25txb8
title: CCDC 2020900: Experimental Crystal Structure Determination

description: Related Article: Dandan Xu, Qianqian Huang, Xinxin Xu, Xiaoguang Sang|2020|Dalton Trans.|49|12441|doi:10.1039/D0DT01153C
DOI: 10.5517/ccdc.csd.cc253h4y
title: CCDC 1999349: Experimental Crystal Structure Determination

description: Related Article: Kaige Zhu, Kosuke Kamochi, Takuya Kodama, Mamoru Tobisu, Toru Amaya|2020|Chemical Science|11|9604|doi:10.1039/D0SC02452J
DOI: 10.5517/ccdc.csd.cc25zy59
title: CCDC 2025731: Experimental Crystal Structure Determination

description: Related Article: Chaohuang Chen, Constantin G. Daniliuc, Christian Mück-Lichtenfeld, Gerald Kehr, Gerhard Erker|2020|J.Am.Chem.Soc.|142|19763|doi:10.1021/jacs.0c10078
DOI: 10.5517/ccdc.csd.cc25zy6b
title: CCDC 2025732: Experimental Crystal Structure Determination

description: Related Article: Chaohuang Chen, Constantin G. Daniliuc, Christian Mück-Lichtenfeld, Gerald Kehr, Gerhard Erker|2020|J.Am.Chem.Soc.|142|19763|doi:10.1021/jacs.0c10078
DOI: 10.5517/ccdc.csd.cc25zy7c
title: CCDC 2025733: Experimental Crystal Structure Determination

description: Related Article: Chaohuang Chen, Constantin G. Daniliuc, Christian Mück-Lichtenfeld, Gerald Kehr, Gerhard Erker|2020|J.Am.Chem.Soc.|142|19763|doi:10.1021/jacs.0c10078
DOI: 10.5517/ccdc.csd.cc25zy8d
title: CCDC 2025734: Experimental Crystal Structure Determination

description: Related Article: Chaohuang Chen, Constantin G. Daniliuc, Christian Mück-Lichtenfeld, Gerald Kehr, Gerhard Erker|2020|J.Am.Chem.Soc.|142|19763|doi:10.1021/jacs.0c10078
DOI: 10.5517/ccdc.csd.cc25zy9f
title: CCDC 2025735: Experimental Crystal Structure Determination

description: Related Article: Chaohuang Chen, Constantin G. Daniliuc, Christian Mück-Lichtenfeld, Gerald Kehr, Gerhard Erker|2020|J.Am.Chem.Soc.|142|19763|doi:10.1021/jacs.0c10078
DOI: 10.5517/ccdc.csd.cc25zych
title: CCDC 2025737: Experimental Crystal Structure Determination

description: Related Article: Chaohuang Chen, Constantin G. Daniliuc, Christian Mück-Lichtenfeld, Gerald Kehr, Gerhard Erker|2020|J.Am.Chem.Soc.|142|19763|doi:10.1021/jacs.0c10078
DOI: 10.5517/ccdc.csd.cc25zydj
title: CCDC 2025738: Experimental Crystal Structure Determination

description: Related Article: Chaohuang Chen, Constantin G. Daniliuc, Christian Mück-Lichtenfeld, Gerald Kehr, Gerhard Erker|2020|J.Am.Chem.Soc.|142|19763|doi:10.1021/jacs.0c10078
DOI: 10.5517/ccdc.csd.cc25zyfk
title: CCDC 2025739: Experimental Crystal Structure Determination

description: Related Article: Chaohuang Chen, Constantin G. Daniliuc, Christian Mück-Lichtenfeld, Gerald Kehr, Gerhard Erker|2020|J.Am.Chem.Soc.|142|19763|doi:10.1021/jacs.0c10078
DOI: 10.5517/ccdc.csd.cc25zygl
title: CCDC 2025740: Experimental Crystal Structure Determination

description: Related Article: Chaohuang Chen, Constantin G. Daniliuc, Christian Mück-Lichtenfeld, Gerald Kehr, Gerhard Erker|2020|J.Am.Chem.Soc.|142|19763|doi:10.1021/jacs.0c10078
DOI: 10.5517/ccdc.csd.cc25zyhm
title: CCDC 2025741: Experimental Crystal Structure Determination

description: Related Article: Chaohuang Chen, Constantin G. Daniliuc, Christian Mück-Lichtenfeld, Gerald Kehr, Gerhard Erker|2020|J.Am.Chem.Soc.|142|19763|doi:10.1021/jacs.0c10078
DOI: 10.5281/zenodo.4299358
title: Enhancing Open Modification Searches via a Combined Approach Facilitated by Ursgal

description: The identification of peptide sequences and their post-translational modifications (PTMs) is a crucial step in the analysis of bottom-up proteomics data. The recent development of open modification search (OMS) engines allows virtually all PTMs to be searched for. This not only increases the number of spectra that can be matched to peptides but also greatly advances the understanding of biological roles of PTMs through the identification, and thereby facilitated quantification, of peptidoforms (peptide sequences and their potential PTMs). While the benefits of combining results from multiple protein database search engines has been established previously, similar approaches for OMS results are missing so far. Here, we compare and combine results from three different OMS engines, demonstrating an increase in peptide spectrum matches of 8-18%. The unification of search results furthermore allows for the combined downstream processing of search results, including the mapping to potential PTMs. Finally, we test for the ability of OMS engines to identify glycosylated peptides. The implementation of these engines in the Python framework Ursgal facilitates the straightforward application of OMS with unified parameters and results files, thereby enabling yet unmatched high-throughput, large-scale data analysis. This dataset includes all relevant results files, databases, and scripts that correspond to the accompanying journal article. Specifically, the following files are deposited: Homo_sapiens_PXD004452_results.zip: result files from OMS and CS for the dataset PXD004452 Homo_sapiens_PXD013715_results.zip: result files from OMS and CS for the dataset PXD013715 Haloferax_volcanii_PXD021874_results.zip: result files from OMS and CS for the dataset PXD021874 Escherichia_coli_PXD000498_results.zip: result files from OMS and CS for the dataset PXD000498 databases.zip: target-decoy databases for <em>Homo sapiens</em>, <em>Escherichia coli </em>and <em>Haloferax volcanii</em> as well as a glycan database for <em>Homo sapiens</em> scripts.zip: example scripts for all relevant steps of the analysis mzml_files.zip: mzML files for all included datasets ursgal.zip: current version of Ursgal (0.6.7) that has been used to generate the results (for most recent versions see https://github.com/ursgal/ursgal)
DOI: 10.5281/zenodo.4299357
title: Enhancing Open Modification Searches via a Combined Approach Facilitated by Ursgal

description: The identification of peptide sequences and their post-translational modifications (PTMs) is a crucial step in the analysis of bottom-up proteomics data. The recent development of open modification search (OMS) engines allows virtually all PTMs to be searched for. This not only increases the number of spectra that can be matched to peptides but also greatly advances the understanding of biological roles of PTMs through the identification, and thereby facilitated quantification, of peptidoforms (peptide sequences and their potential PTMs). While the benefits of combining results from multiple protein database search engines has been established previously, similar approaches for OMS results are missing so far. Here, we compare and combine results from three different OMS engines, demonstrating an increase in peptide spectrum matches of 8-18%. The unification of search results furthermore allows for the combined downstream processing of search results, including the mapping to potential PTMs. Finally, we test for the ability of OMS engines to identify glycosylated peptides. The implementation of these engines in the Python framework Ursgal facilitates the straightforward application of OMS with unified parameters and results files, thereby enabling yet unmatched high-throughput, large-scale data analysis. This dataset includes all relevant results files, databases, and scripts that correspond to the accompanying journal article. Specifically, the following files are deposited: Homo_sapiens_PXD004452_results.zip: result files from OMS and CS for the dataset PXD004452 Homo_sapiens_PXD013715_results.zip: result files from OMS and CS for the dataset PXD013715 Haloferax_volcanii_PXD021874_results.zip: result files from OMS and CS for the dataset PXD021874 Escherichia_coli_PXD000498_results.zip: result files from OMS and CS for the dataset PXD000498 databases.zip: target-decoy databases for <em>Homo sapiens</em>, <em>Escherichia coli </em>and <em>Haloferax volcanii</em> as well as a glycan database for <em>Homo sapiens</em> scripts.zip: example scripts for all relevant steps of the analysis mzml_files.zip: mzML files for all included datasets ursgal.zip: current version of Ursgal (0.6.7) that has been used to generate the results (for most recent versions see https://github.com/ursgal/ursgal)
DOI: 10.21227/4n2r-rm02
title: Biomedical KEH B

description: This dataset is in support of my research paper submitted to "IEEE Transactions on Circuits and Systems I: Regular Papers".
DOI: 10.21227/kytn-q607
title: Non Linear Battery

description: This dataset is in support of my research paper submitted to "IEEE Transactions on Energy Conversion".In this dataset,
DOI: 10.21227/htaz-gj62
title: kW DC Solar with BMS

description: This dataset is in support of my research paper submitted to "IEEE Transactions on Energy Conversion".
DOI: 10.21227/dnky-sn97
title: wind turbine

description: This dataset is in support of my research paper submitted to "IEEE Transactions on Energy Conversion".In this dataset,
DOI: 10.5281/zenodo.3627314
title: 92-1.144.00017

description: Crescent 92-1.144.00017 is a quarter-moon, broken, biface crescent made from white mottled chert. The zip file contains three .obj files and a single .stl file.
DOI: 10.5281/zenodo.3627313
title: 92-1.144.00017

description: Crescent 92-1.144.00017 is a quarter-moon, broken, biface crescent made from white mottled chert. The zip file contains three .obj files and a single .stl file.
DOI: 10.21227/dcyn-9z34
title: Flywheel

description: This dataset is in support of my research paper submitted to "IEEE Transactions on Energy Conversion".
DOI: 10.5281/zenodo.3627312
title: 92-1.144.00014

description: Crescent 92-1.144.00014 is a uniface flake tool made from gray/brown mottled chert. The zip file contains three .obj files and a single .stl file.
DOI: 10.5281/zenodo.3627311
title: 92-1.144.00014

description: Crescent 92-1.144.00014 is a uniface flake tool made from gray/brown mottled chert. The zip file contains three .obj files and a single .stl file.
DOI: 10.5281/zenodo.3627310
title: 92-1.144.00013

description: Crescent 92-1.144.00013 is a quarter-moon, broken, biface crescent made from white (translucent) chert. The zip file contains three .obj files and a single .stl file.
DOI: 10.5281/zenodo.3627309
title: 92-1.144.00013

description: Crescent 92-1.144.00013 is a quarter-moon, broken, biface crescent made from white (translucent) chert. The zip file contains three .obj files and a single .stl file.
DOI: 10.5281/zenodo.3627308
title: 92-1.144.00012

description: Crescent 92-1.144.00012 is a quarter-moon, broken, biface crescent made from Orange (translucent) CCS. The zip file contains three .obj files and a single .stl file.
DOI: 10.5281/zenodo.3627307
title: 92-1.144.00012

description: Crescent 92-1.144.00012 is a quarter-moon, broken, biface crescent made from Orange (translucent) CCS. The zip file contains three .obj files and a single .stl file.
DOI: 10.5281/zenodo.3627306
title: 92-1.144.00011

description: Crescent 92-1.144.00011 is a half-moon uniface crescent made from multicolor red, orange, and blue chert. The zip file contains three .obj files and a single .stl file.
DOI: 10.5281/zenodo.3627305
title: 92-1.144.00011

description: Crescent 92-1.144.00011 is a half-moon uniface crescent made from multicolor red, orange, and blue chert. The zip file contains three .obj files and a single .stl file.
DOI: 10.5281/zenodo.3627304
title: 92-1.144.00010

description: Crescent 92-1.144.00010 is a butterfly biface crescent made from brown jasper. The zip file contains three .obj files and a single .stl file.
DOI: 10.5281/zenodo.3627303
title: 92-1.144.00010

description: Crescent 92-1.144.00010 is a butterfly biface crescent made from brown jasper. The zip file contains three .obj files and a single .stl file.