cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.35111/cyxy-p432
title: MyST Children's Conversational Speech

description: <h3>Introduction</h3><br>
<p>MyST (My Science Tutor) Children's Conversational Speech was developed by <a href="https://boulderlearning.com/">Boulder Learning Inc.</a> It is comprised of approximately 470 hours of English speech from 1371 students in grades 3-5 conversing with a virtual science tutor in eight areas of science instruction, along with transcripts and a pronunciation dictionary.</p><br>
<p>Data was collected in two phases between 2008 and 2017. In both phases, spoken dialogs with the virtual tutor were aligned to classroom instruction using the Full Option Science System (FOSS) system, a research-based science curriculum for grades K-8. The eight FOSS science modules represented in this data set consisted of an average of 16 small-group classroom science investigations. Following the investigations, students conversed with the virtual science tutor for 15-20 minutes. The tutor asked open-ended questions about media presented on-screen, and students produced spoken answers.</p><br>
<h3>Data</h3><br>
<p>Speech data was collected in 10,496 sessions for a total of 227,567 utterances. Approximately 45% of those utterances (102,433) were transcribed. All data collected in Phase I was transcribed using rich transcription guidelines; data collected in Phase II was partially transcribed using a reduced version of those guidelines. The transcription guidelines are included in this release.</p><br>
<p>Data is divided into development, test, and train partitions for use with ASR systems</p><br>
<p>Speech is presented in single channel, 16kHz, 16-bit flac compressed wav format. Transcripts are UTF-8 encoded plain text.</p><br>
<h3>Samples</h3><br>
<p>Please view this <a href="desc/addenda/LDC2021S05.flac">audio sample (FLAC)</a> and <a href="desc/addenda/LDC2021S05.txt">transcript sample (TXT)</a>.</p><br>
<h3>Updates</h3><br>
<p>None at this time.</p></br>
DOI: 10.5066/p97br8c0
title: National Assessment of Oil and Gas Project Devonian Marcellus Shale of the Appalachian Basin Province (067) Assessment Units

description: The Assessment Unit is the fundamental unit used in the National Assessment Project for the assessment of undiscovered oil and gas resources. The Assessment Unit is defined within the context of the higher-level Total Petroleum System. The Assessment Unit is shown here as a geographic boundary interpreted, defined, and mapped by the geologist responsible for the province and incorporates a set of known or postulated oil and (or) gas accumulations sharing similar geologic, geographic, and temporal properties within the Total Petroleum System, such as source rock, timing, migration pathways, trapping mechanism, and hydrocarbon type. The Assessment Unit boundary is defined geologically as the limits of the geologic elements that define the Assessment Unit, such as limits of reservoir rock, geologic structures, source rock, and seal lithologies. The only exceptions to this are Assessment Units that border the Federal-State water boundary. In these cases, the Federal-State water boundary forms part of the Assessment Unit boundary.
DOI: 10.17909/t9-s253-4582
title: SDSSJ1411-B

description: spectroscopic phase curve of the irradiated brown dwarf SDSSJ1411-B in the SDSS J141126.20+200911.1 white-dwarf brown-dwarf binary system
DOI: 10.5281/zenodo.4958747
title: Boutiques-execution-fd6cc1

description: Boutiques execution data-set
DOI: 10.5281/zenodo.4958746
title: Boutiques-execution-fd6cc1

description: Boutiques execution data-set
DOI: 10.18112/openneuro.ds003702.v1.0.0
title: Social Memory cuing
DOI: 10.5066/p944puu7
title: Estimated Thickness of the Lower Miocene 1 Sequence, Gulf Coast

description: The thickness contours were created using biostratigraphic data in the Paleo-Data, Inc., Tenroc Regional Geologic Database. The depths of the microfossil locations were associated with the wells data provided by the Louisiana Department of Natural Resources. Because of the proprietary nature of the Tenroc database, no actual data can be shown and only those data points contained in the Louisiana State wells database are included in the control points layer. Contouring was accomplished in Dynamic Graphics, Inc., EarthVision modeling software (v.5) using minimum tension gridding. Three custom programs were used to convert contour lines generated from grids in EarthVision to Arc/Info coverages and then to shapefiles. The data are provided as both lines and polygons (lm1thicklg.shp and lm1thickpg.shp), and the public wells that penetrate the entire thickness of the Lower Miocene 1 sequence are provided in a point shapefile (lm1thickptg.shp). These datasets contain basic data and interpretations developed and compiled by the U.S. Geological Survey's Framework Studies and Assessment of the Gulf Coast Project. Other major sources of data include publicly available information from state agencies as well as publications of the U.S. Geological Survey and other scientific organizations. In cases where company proprietary data were used to produce various derivatives such as contour surfaces, the source is cited but the data are not displayed.
DOI: 10.5066/p90560zv
title: Structure Contour of the Top of the Lower Miocene 1 Sequence, Gulf Coast

description: The structure contours were created using biostratigraphic data in the Paleo-Data, Inc., Tenroc Regional Geologic Database. The depths of the microfossil locations were associated with the wells data provided by the Louisiana Department of Natural Resources. Because of the proprietary nature of the Tenroc database, no actual data can be shown and only those data points contained in the Louisiana State wells database are included in the control points layer. Contouring was accomplished in Dynamic Graphics, Inc., EarthVision modeling software (v.5) using minimum tension gridding. Three custom programs were used to convert contour lines generated from grids in EarthVision to Arc/Info coverages and then to shapefiles. The data are provided as both lines and polygons (lm1toplg.shp and lm1toppg.shp), and the public wells that penetrate the top of the Lower Miocene 1 (LM1) sequence are provided in a point shapefile (lm1topptg.shp). These datasets contain basic data and interpretations developed and compiled by the U.S. Geological Survey's Framework Studies and Assessment of the Gulf Coast Project. Other major sources of data include publicly available information from state agencies as well as publications of the U.S. Geological Survey and other scientific organizations. In cases where company proprietary data were used to produce various derivatives such as contour surfaces, the source is cited but the data are not displayed.
DOI: 10.15468/tp6g3t
title: Revision of the spider genus Stygopholcus (Araneae, Pholcidae), endemic to the Balkan Peninsula

description: This dataset contains the digitized treatments in Plazi based on the original journal article Huber, Bernhard A., Pavlek, Martina, Komnenov, Marjan (2021): Revision of the spider genus Stygopholcus (Araneae, Pholcidae), endemic to the Balkan Peninsula. European Journal of Taxonomy 752: 1-60, DOI: https://doi.org/10.5852/ejt.2021.752.1391
DOI: 10.5517/ccdc.csd.cc23w8cn
title: CCDC 1962621: Experimental Crystal Structure Determination

description: Related Article: Dachang Bai, Song Liu, Junyan Chen, Yanjiang Yu, Manman Wang, Junbiao Chang, Yu Lan, Xingwei Li|2021|Org.Chem.Front.|8|3023|doi:10.1039/D1QO00322D
DOI: 10.5517/ccdc.csd.cc24zrmj
title: CCDC 1995768: Experimental Crystal Structure Determination

description: Related Article: Vera A. Vil', Evgenii S. Gorlov, Bing Yu, Alexander O. Terent'ev|2021|Org.Chem.Front.|8|3091|doi:10.1039/D1QO00494H
DOI: 10.5517/ccdc.csd.cc25823n
title: CCDC 2003750: Experimental Crystal Structure Determination

description: Related Article: Lili Han, Mengmeng Huang, Yabo Li, Jianye Zhang, Yu Zhu, Jung Keun Kim, Yangjie Wu|2021|Org.Chem.Front.|8|3110|doi:10.1039/D1QO00038A
DOI: 10.5517/ccdc.csd.cc261scf
title: CCDC 2027504: Experimental Crystal Structure Determination

description: Related Article: Kai Zhou, Ming Bao, Hongkai Sha, Guizhi Dong, Kemiao Hong, Xinfang Xu, Wenhao Hu|2021|Org.Chem.Front.|8|2997|doi:10.1039/D1QO00083G
DOI: 10.5517/ccdc.csd.cc265mst
title: CCDC 2031206: Experimental Crystal Structure Determination

description: Related Article: Kai Zhou, Ming Bao, Hongkai Sha, Guizhi Dong, Kemiao Hong, Xinfang Xu, Wenhao Hu|2021|Org.Chem.Front.|8|2997|doi:10.1039/D1QO00083G
DOI: 10.5517/ccdc.csd.cc2662m4
title: CCDC 2031635: Experimental Crystal Structure Determination

description: Related Article: Binsen Rong, Gaochen Xu, Huan Yan, Sai Zhang, Qinghuan Wu, Ning Zhu, Zheng Fang, Jindian Duan, Kai Guo|2021|Org.Chem.Front.|8|2939|doi:10.1039/D1QO00094B
DOI: 10.5517/ccdc.csd.cc26793w
title: CCDC 2032797: Experimental Crystal Structure Determination

description: Related Article: Shan-Shan Li, Qi Qin, Zhuang Qi, Li-Miao Yang, Yun Kang, Xiang-Zhi Zhang, Ai-Jun Ma, Jin-Bao Peng|2021|Org.Chem.Front.|8|3069|doi:10.1039/D1QO00303H
DOI: 10.5517/ccdc.csd.cc26794x
title: CCDC 2032798: Experimental Crystal Structure Determination

description: Related Article: Shan-Shan Li, Qi Qin, Zhuang Qi, Li-Miao Yang, Yun Kang, Xiang-Zhi Zhang, Ai-Jun Ma, Jin-Bao Peng|2021|Org.Chem.Front.|8|3069|doi:10.1039/D1QO00303H
DOI: 10.5517/ccdc.csd.cc268r5f
title: CCDC 2034194: Experimental Crystal Structure Determination

description: Related Article: Dachang Bai, Song Liu, Junyan Chen, Yanjiang Yu, Manman Wang, Junbiao Chang, Yu Lan, Xingwei Li|2021|Org.Chem.Front.|8|3023|doi:10.1039/D1QO00322D
DOI: 10.5517/ccdc.csd.cc268r6g
title: CCDC 2034195: Experimental Crystal Structure Determination

description: Related Article: Dachang Bai, Song Liu, Junyan Chen, Yanjiang Yu, Manman Wang, Junbiao Chang, Yu Lan, Xingwei Li|2021|Org.Chem.Front.|8|3023|doi:10.1039/D1QO00322D
DOI: 10.5517/ccdc.csd.cc26fwxg
title: CCDC 2039146: Experimental Crystal Structure Determination

description: Related Article: Can Yang, Zhipeng Liu, Xinwei Hu, Haisheng Xie, Huanfeng Jiang, Wei Zeng|2021|Org.Chem.Front.|8|2949|doi:10.1039/D1QO00194A
DOI: 10.5517/ccdc.csd.cc26k2sn
title: CCDC 2042211: Experimental Crystal Structure Determination

description: Related Article: Qiaoyu An, Lei Liu, Zongyuan Tang, Han Luo, You Li, Mingchuan Xu, Baosheng Li|2021|Org.Chem.Front.|8|2909|doi:10.1039/D1QO00165E
DOI: 10.5517/ccdc.csd.cc26l30y
title: CCDC 2043179: Experimental Crystal Structure Determination

description: Related Article: Lei Xu, Shengqing Zhu, Liping Huo, Fan Chen, Wei Yu, Lingling Chu|2021|Org.Chem.Front.|8|2924|doi:10.1039/D1QO00365H
DOI: 10.5517/ccdc.csd.cc26pwzs
title: CCDC 2046836: Experimental Crystal Structure Determination

description: Related Article: Lili Han, Mengmeng Huang, Yabo Li, Jianye Zhang, Yu Zhu, Jung Keun Kim, Yangjie Wu|2021|Org.Chem.Front.|8|3110|doi:10.1039/D1QO00038A
DOI: 10.5517/ccdc.csd.cc26px3y
title: CCDC 2046840: Experimental Crystal Structure Determination

description: Related Article: Lili Han, Mengmeng Huang, Yabo Li, Jianye Zhang, Yu Zhu, Jung Keun Kim, Yangjie Wu|2021|Org.Chem.Front.|8|3110|doi:10.1039/D1QO00038A
DOI: 10.5517/ccdc.csd.cc26px4z
title: CCDC 2046841: Experimental Crystal Structure Determination

description: Related Article: Lili Han, Mengmeng Huang, Yabo Li, Jianye Zhang, Yu Zhu, Jung Keun Kim, Yangjie Wu|2021|Org.Chem.Front.|8|3110|doi:10.1039/D1QO00038A
DOI: 10.5517/ccdc.csd.cc26pxd7
title: CCDC 2046849: Experimental Crystal Structure Determination

description: Related Article: Lili Han, Mengmeng Huang, Yabo Li, Jianye Zhang, Yu Zhu, Jung Keun Kim, Yangjie Wu|2021|Org.Chem.Front.|8|3110|doi:10.1039/D1QO00038A
DOI: 10.5517/ccdc.csd.cc26wqb5
title: CCDC 2052427: Experimental Crystal Structure Determination

description: Related Article: Jiaping Wu, Baiyang Qian, Lili Lu, Haitao Yang, Yongjia Shang, Jitan Zhang|2021|Org.Chem.Front.|8|3032|doi:10.1039/D1QO00133G
DOI: 10.5517/ccdc.csd.cc26wqg9
title: CCDC 2052431: Experimental Crystal Structure Determination

description: Related Article: Jiaping Wu, Baiyang Qian, Lili Lu, Haitao Yang, Yongjia Shang, Jitan Zhang|2021|Org.Chem.Front.|8|3032|doi:10.1039/D1QO00133G
DOI: 10.5517/ccdc.csd.cc26y0gn
title: CCDC 2053671: Experimental Crystal Structure Determination

description: Related Article: Pei-Pei Zhang, Bo Song, Zhongyi Li, Jian-Jun Zhang, Ai-Yun Ni, Jun Chen, Jun Ni, Shuqin Liu, Chunying Duan|2021|J.Mater.Chem.A|9|13552|doi:10.1039/D1TA00062D
DOI: 10.5517/ccdc.csd.cc26y0hp
title: CCDC 2053672: Experimental Crystal Structure Determination

description: Related Article: Pei-Pei Zhang, Bo Song, Zhongyi Li, Jian-Jun Zhang, Ai-Yun Ni, Jun Chen, Jun Ni, Shuqin Liu, Chunying Duan|2021|J.Mater.Chem.A|9|13552|doi:10.1039/D1TA00062D
DOI: 10.5517/ccdc.csd.cc270tcg
title: CCDC 2056365: Experimental Crystal Structure Determination

description: Related Article: Wen-Qing Zhu, Yu-Chen Fang, Wen-Yong Han, Fei Li, Min-Ge Yang, Yong-Zheng Chen|2021|Org.Chem.Front.|8|3082|doi:10.1039/D1QO00222H
DOI: 10.5517/ccdc.csd.cc270tdh
title: CCDC 2056366: Experimental Crystal Structure Determination

description: Related Article: Wen-Qing Zhu, Yu-Chen Fang, Wen-Yong Han, Fei Li, Min-Ge Yang, Yong-Zheng Chen|2021|Org.Chem.Front.|8|3082|doi:10.1039/D1QO00222H
DOI: 10.5517/ccdc.csd.cc270tfj
title: CCDC 2056367: Experimental Crystal Structure Determination

description: Related Article: Wen-Qing Zhu, Yu-Chen Fang, Wen-Yong Han, Fei Li, Min-Ge Yang, Yong-Zheng Chen|2021|Org.Chem.Front.|8|3082|doi:10.1039/D1QO00222H
DOI: 10.5517/ccdc.csd.cc270tgk
title: CCDC 2056368: Experimental Crystal Structure Determination

description: Related Article: Wen-Qing Zhu, Yu-Chen Fang, Wen-Yong Han, Fei Li, Min-Ge Yang, Yong-Zheng Chen|2021|Org.Chem.Front.|8|3082|doi:10.1039/D1QO00222H
DOI: 10.5517/ccdc.csd.cc270tjm
title: CCDC 2056370: Experimental Crystal Structure Determination

description: Related Article: Wen-Qing Zhu, Yu-Chen Fang, Wen-Yong Han, Fei Li, Min-Ge Yang, Yong-Zheng Chen|2021|Org.Chem.Front.|8|3082|doi:10.1039/D1QO00222H
DOI: 10.5517/ccdc.csd.cc270tkn
title: CCDC 2056371: Experimental Crystal Structure Determination

description: Related Article: Wen-Qing Zhu, Yu-Chen Fang, Wen-Yong Han, Fei Li, Min-Ge Yang, Yong-Zheng Chen|2021|Org.Chem.Front.|8|3082|doi:10.1039/D1QO00222H
DOI: 10.5517/ccdc.csd.cc270tx0
title: CCDC 2056382: Experimental Crystal Structure Determination

description: Related Article: Wen-Qing Zhu, Yu-Chen Fang, Wen-Yong Han, Fei Li, Min-Ge Yang, Yong-Zheng Chen|2021|Org.Chem.Front.|8|3082|doi:10.1039/D1QO00222H
DOI: 10.5517/ccdc.csd.cc270ty1
title: CCDC 2056383: Experimental Crystal Structure Determination

description: Related Article: Wen-Qing Zhu, Yu-Chen Fang, Wen-Yong Han, Fei Li, Min-Ge Yang, Yong-Zheng Chen|2021|Org.Chem.Front.|8|3082|doi:10.1039/D1QO00222H
DOI: 10.5517/ccdc.csd.cc270v04
title: CCDC 2056385: Experimental Crystal Structure Determination

description: Related Article: Wen-Qing Zhu, Yu-Chen Fang, Wen-Yong Han, Fei Li, Min-Ge Yang, Yong-Zheng Chen|2021|Org.Chem.Front.|8|3082|doi:10.1039/D1QO00222H
DOI: 10.5517/ccdc.csd.cc2725n5
title: CCDC 2057676: Experimental Crystal Structure Determination

description: Related Article: Xiaosa Lu, Yinhua Huang|2021|Org.Chem.Front.|8|3008|doi:10.1039/D1QO00232E
DOI: 10.6084/m9.figshare.11977695
title: Conservation_Genomics_Mhembeli_datasets

description: Data associated with the publication:<br>Garrison, N. L., Johnson, P. D., & Whelan, N. V. (2021). Conservation genomics reveals low genetic diversity and multiple parentage in the threatened freshwater mussel, Margaritifera hembeli. <i>Conservation Genetics</i>, <i>22</i>(2), 217-231.
DOI: 10.6084/m9.figshare.11977695.v1
title: Conservation_Genomics_Mhembeli_datasets

description: Data associated with the publication:<br>Garrison, N. L., Johnson, P. D., & Whelan, N. V. (2021). Conservation genomics reveals low genetic diversity and multiple parentage in the threatened freshwater mussel, Margaritifera hembeli. <i>Conservation Genetics</i>, <i>22</i>(2), 217-231.
DOI: 10.6084/m9.figshare.14787186
title: E.Saghy_research data.zip

description: Although there has been extensive research on pharmaceutical industry payments to healthcare professionals, healthcare organisations with key roles in health systems have received little attention. We seek to address this gap in research by examining drug company payments to general practice surgeries in England in 2015. We combine a publicly available payments database, the Disclosure UK, managed by the pharmaceutical industry with datasets covering key surgery characteristics and a database of unethical company marketing practices. We find that surgeries were an important target of company payments, receiving £2,726,017.77, equivalent to 6.53% of the value of payments to all healthcare organisations in England. Payments to surgeries were highly concentrated. The top 10 donors and the top 10 recipients amassed 87.93% and 13.62% of the value of payments, respectively. While some companies made fewer but higher value payments, others made more frequent low value payments. Surgeries with more patients, a greater proportion of elderly patients, and those in more deprived areas received more payments on average. However, the patterns of payments were similar across England’s regions. We also found that company networks – established by making payments to the same surgeries – were largely dominated by a single company, which was also by far the biggest donor. This company was the target of several investigations into the unethical marketing of a novel-type of anticoagulant increasingly prescribed by surgeries, suggesting that its payments might be connected to this drug’s marketing. Our research demonstrates that the comprehensiveness and quality of payment data disclosed via industry self-regulatory arrangements needs improvement. More interconnectivity between payment data and other datasets is needed to capture company marketing strategies systematically. Greater policy attention is necessary to the risk of financial dependency and conflicts of interests that might arise from payments to surgeries and to organisational conflicts of interests more broadly.
DOI: 10.6084/m9.figshare.14787186.v1
title: E.Saghy_research data.zip

description: Although there has been extensive research on pharmaceutical industry payments to healthcare professionals, healthcare organisations with key roles in health systems have received little attention. We seek to address this gap in research by examining drug company payments to general practice surgeries in England in 2015. We combine a publicly available payments database, the Disclosure UK, managed by the pharmaceutical industry with datasets covering key surgery characteristics and a database of unethical company marketing practices. We find that surgeries were an important target of company payments, receiving £2,726,017.77, equivalent to 6.53% of the value of payments to all healthcare organisations in England. Payments to surgeries were highly concentrated. The top 10 donors and the top 10 recipients amassed 87.93% and 13.62% of the value of payments, respectively. While some companies made fewer but higher value payments, others made more frequent low value payments. Surgeries with more patients, a greater proportion of elderly patients, and those in more deprived areas received more payments on average. However, the patterns of payments were similar across England’s regions. We also found that company networks – established by making payments to the same surgeries – were largely dominated by a single company, which was also by far the biggest donor. This company was the target of several investigations into the unethical marketing of a novel-type of anticoagulant increasingly prescribed by surgeries, suggesting that its payments might be connected to this drug’s marketing. Our research demonstrates that the comprehensiveness and quality of payment data disclosed via industry self-regulatory arrangements needs improvement. More interconnectivity between payment data and other datasets is needed to capture company marketing strategies systematically. Greater policy attention is necessary to the risk of financial dependency and conflicts of interests that might arise from payments to surgeries and to organisational conflicts of interests more broadly.
DOI: 10.5066/p9vu6w24
title: Estimated Thickness of the Lower Miocene 2 Sequence, Gulf Coast

description: The thickness contours were created using biostratigraphic data in the Paleo-Data, Inc., Tenroc Regional Geologic Database. The depths of the microfossil locations were associated with the wells data provided by the Louisiana Department of Natural Resources. Because of the proprietary nature of the Tenroc database, no actual data can be shown and only those data points contained in the Louisiana State wells database are included in the control points layer. Contouring was accomplished in Dynamic Graphics, Inc., EarthVision modeling software (v.5) using minimum tension gridding. Three custom programs were used to convert contour lines generated from grids in EarthVision to Arc/Info coverages and then to shapefiles. The data are provided as both lines and polygons (lm2thicklg.shp and lm2thickpg.shp), and the public wells that penetrate the entire thickness of the Lower Miocene 2 sequence are provided in a point shapefile (lm2thickptg.shp). These datasets contain basic data and interpretations developed and compiled by the U.S. Geological Survey's Framework Studies and Assessment of the Gulf Coast Project. Other major sources of data include publicly available information from state agencies as well as publications of the U.S. Geological Survey and other scientific organizations. In cases where company proprietary data were used to produce various derivatives such as contour surfaces, the source is cited but the data are not displayed.
DOI: 10.5281/zenodo.3654617
title: Utilising quadrat.count and quadrat.test to understand metal axes as spatial point patterns

description: As part of a Master's thesis, the spatial distribution and density of metal axes found by private metal detectorists were assessed in relation to different covariates: soil type, soil texture, land cover and estimated preservation capacity (Kibblewhite et al. 2016). The data derives from England and Wales (Portable Antiquities Scheme), Denmark (Digitale Metaldetektorfund) and the Netherlands (Portable Antiquities Scheme). Calculations were performed with the functions 'quadrat.count', 'intensity.quadratcount' and 'quadrat.test' in R. There are three separate .Rmd files per country, each refering to a particular covariable.
DOI: 10.5281/zenodo.3654616
title: Utilising quadrat.count and quadrat.test to understand metal axes as spatial point patterns

description: As part of a Master's thesis, the spatial distribution and density of metal axes found by private metal detectorists were assessed in relation to different covariates: soil type, soil texture, land cover and estimated preservation capacity (Kibblewhite et al. 2016). The data derives from England and Wales (Portable Antiquities Scheme), Denmark (Digitale Metaldetektorfund) and the Netherlands (Portable Antiquities Scheme). Calculations were performed with the functions 'quadrat.count', 'intensity.quadratcount' and 'quadrat.test' in R. There are three separate .Rmd files per country, each refering to a particular covariable.
DOI: 10.5281/zenodo.3654355
title: Kernel Density Estimation of metal axes from Denmark, England, Wales and the Netherlands

description: As part of a Master's thesis, Kernel Density Estimations (KDEs) using likelihood cross-validation bandwidth were calculated for metal axes found by private metal detectorists. The data derives from England and Wales (Portable Antiquities Scheme), Denmark (Digitale Metaldetektorfund) and the Netherlands (Portable Antiquities Scheme). Calculations were performed with the 'density' function in R.