cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4048658
title: Convergent geographic patterns between grizzly bear population genetic structure and Indigenous language groups in coastal British Columbia

description: Microsatellite loci calls, sex, and mean centre detection per individual (GrizzlyMicroLociMeanXY.csv) and code associated with the paper: "Convergent geographic patterns between grizzly bear population genetic structure and Indigenous language groups in coastal British Columbia". All code is from published R packages or GitHub repositories not created by the author. Code used is best described in these alternate resources.
DOI: 10.5517/ccdc.csd.cc259s2c
title: CCDC 2005392: Experimental Crystal Structure Determination

description: Related Article: Zili Suo, Qiaomei Sun, Xin Wei, Na Yuan, Na Gan, Peng Wang, Yongkui Zhang, Hui Li|2021|J.Mol.Struct.|1243|130867|doi:10.1016/j.molstruc.2021.130867
DOI: 10.5517/ccdc.csd.cc281df5
title: CCDC 2086716: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, M.R.J. Elsegood, S.L. Heath|2021|CSD Communication|||
DOI: 10.15784/601456
title: WAIS Divide ice core nitrate isotopes

description: This dataset contains measurements of nitrate oxygen (D17O) and nitrogen (d15N) isotopes from the WAIS Divide ice core (WDC06A). The time resolution is variable throughout the record. The data includes 15 discreet samples between 2900 - 67,000 years before 1950 and 305 continuous measurements between 36,000-52,000 years before 1950. The depth range is 700 - 3401 m. Each sample covered 1 m depth. The time resolution ranged from 5 years/m at the top to 200 years/m at the bottom.
DOI: 10.13012/b2idb-6081052_v1
title: Global multi-model projections of urban daily temperatures

description: This dataset contains the emulated global multi-model urban daily temperature projections under RCP 8.5 scenario. The dataset is derived from the study "Large model structural uncertainty in global projections of urban heat waves" (XXXX). Details about this dataset and the local urban climate emulator are described in the article. This dataset documents the global urban daily temperatures of 17 CMIP5 Earth system models for 2006-2015 and 2061-2070. This dataset may be useful for multiple communities regarding urban climate change, heat waves, impacts, vulnerability, risks, and adaptation applications.
DOI: 10.6084/m9.figshare.13179896.v1
title: Data deposition I - Conceptions.pdf

description: misconceptions on covalent bond
DOI: 10.6084/m9.figshare.13179899.v2
title: Data deposition II - Questionnaire and answers.pdf

description: Data deposition II - Questionnaire and answers
DOI: 10.5281/zenodo.5014844
title: Publicly archived datasets analyzed or generated during the study.

description: Publicly archived datasets analyzed or generated during the study.
DOI: 10.5281/zenodo.5014843
title: Publicly archived datasets analyzed or generated during the study.

description: Publicly archived datasets analyzed or generated during the study.
DOI: 10.6084/m9.figshare.14825034
title: Socioeconomic_data_Naibunga_Final.sav

description: the data contains responses for a semi structured questionnaire administered to randomly selected household heads within naibunga community conservancies. the data captures demographic data of the households, their involvement level in conservancy management, and changes in their socioeconomic status/outcomes as measured by use of various socioeconomic indicators.the data was collected according to the guidelines of the Declaration of Helsinki, and approved by Egerton University Research Ethics Committee (protocol code EU/RE/DVC/009) on 30<sup>th</sup> November, 2020).Informed consent was also sought from the respondents before carrying out the data collection activity
DOI: 10.6084/m9.figshare.14825034.v1
title: Socioeconomic_data_Naibunga_Final.sav

description: the data contains responses for a semi structured questionnaire administered to randomly selected household heads within naibunga community conservancies. the data captures demographic data of the households, their involvement level in conservancy management, and changes in their socioeconomic status/outcomes as measured by use of various socioeconomic indicators.the data was collected according to the guidelines of the Declaration of Helsinki, and approved by Egerton University Research Ethics Committee (protocol code EU/RE/DVC/009) on 30<sup>th</sup> November, 2020).Informed consent was also sought from the respondents before carrying out the data collection activity
DOI: 10.5281/zenodo.5014627
title: Statistics of Uncited Scientific Papers

description: p.d.f. citation distributions for several collections of papers belonging to a certain scientific discipline or categories; the fraction of uncited papers in these collections and its time dependence.
DOI: 10.15468/73877c
title: An Oligocene giant rhino provides insights into Paraceratherium evolution

description: This dataset contains the digitized treatments in Plazi based on the original journal article Deng, Tao, Lu, Xiaokang, Wang, Shiqi, Flynn, Lawrence J., Sun, Danhui, He, Wen, Chen, Shanqin (2021): An Oligocene giant rhino provides insights into Paraceratherium evolution. Communications Biology 639 (1): 1-10, DOI: 10.1038/s42003-021-02170-6, URL: http://dx.doi.org/10.1038/s42003-021-02170-6
DOI: 10.5281/zenodo.5014626
title: Statistics of Uncited Scientific Papers

description: p.d.f. citation distributions for several collections of papers belonging to a certain scientific discipline or categories; the fraction of uncited papers in these collections and its time dependence.
DOI: 10.6084/m9.figshare.14016854.v3
title: Spatial downscaling of PISCOt v1.1: minimum temperature

description: The downscaled version of PISCOt v1.1 for minimum temperature has been created using GWR (plus bilinear interpolation) using land surface temperature and elevation at 0.01° (~1 km) in a climatologically aided process (similar to the climatologically aided interpolation).
DOI: 10.6084/m9.figshare.13179896
title: Data deposition I - Conceptions.pdf

description: misconceptions on covalent bond
DOI: 10.6084/m9.figshare.13179896.v2
title: Data deposition I - Conceptions.pdf

description: misconceptions on covalent bond
DOI: 10.6084/m9.figshare.13179899
title: Data deposition II - Questionnaire and answers.pdf

description: Data deposition II - Questionnaire and answers
DOI: 10.6084/m9.figshare.13179899.v4
title: Data deposition II - Questionnaire and answers.pdf

description: Data deposition II - Questionnaire and answers
DOI: 10.6084/m9.figshare.13179899.v3
title: Data deposition II - Questionnaire and answers.pdf

description: Data deposition II - Questionnaire and answers
DOI: 10.5517/ccdc.csd.cc22jcss
title: CCDC 1922365: Experimental Crystal Structure Determination

description: Related Article: Nico M. Bonanno, Zackery Watts, Cole Mauws, Brian O. Patrick, Christopher R. Wiebe, Yuki Shibano, Kenji Sugisaki, Hideto Matsuoka, Daisuke Shiomi, Kazunobu Sato, Takeji Takui, Martin T. Lemaire|2021|Chem.Commun.|57|6213|doi:10.1039/D1CC01991K
DOI: 10.5517/ccdc.csd.cc26wqzt
title: CCDC 2052447: Experimental Crystal Structure Determination

description: Related Article: Mohammad Hedayetullah Mir, Sambhunath Bera, Samim Khan, Suvendu Maity, Chittaranjan Sinha, Basudeb Dutta|2021|Chem.Commun.|57|6197|doi:10.1039/D1CC02121D
DOI: 10.5517/ccdc.csd.cc26wr0w
title: CCDC 2052448: Experimental Crystal Structure Determination

description: Related Article: Mohammad Hedayetullah Mir, Sambhunath Bera, Samim Khan, Suvendu Maity, Chittaranjan Sinha, Basudeb Dutta|2021|Chem.Commun.|57|6197|doi:10.1039/D1CC02121D
DOI: 10.5517/ccdc.csd.cc278k25
title: CCDC 2063796: Experimental Crystal Structure Determination

description: Related Article: Qiang Guo, Shiyi Zhou, Xiaoyu Li, Li Tao, Mengke Li, Shi-Jian Su, Danyang Wan, Jie Li|2021|Chem.Commun.|57|6177|doi:10.1039/D1CC01533H
DOI: 10.5517/ccdc.csd.cc278k8c
title: CCDC 2063802: Experimental Crystal Structure Determination

description: Related Article: Qiang Guo, Shiyi Zhou, Xiaoyu Li, Li Tao, Mengke Li, Shi-Jian Su, Danyang Wan, Jie Li|2021|Chem.Commun.|57|6177|doi:10.1039/D1CC01533H
DOI: 10.5517/ccdc.csd.cc278kkn
title: CCDC 2063811: Experimental Crystal Structure Determination

description: Related Article: Qiang Guo, Shiyi Zhou, Xiaoyu Li, Li Tao, Mengke Li, Shi-Jian Su, Danyang Wan, Jie Li|2021|Chem.Commun.|57|6177|doi:10.1039/D1CC01533H
DOI: 10.5517/ccdc.csd.cc27957z
title: CCDC 2064390: Experimental Crystal Structure Determination

description: Related Article: Nathan Davison, Emanuele Falbo, Paul G. Waddell, Thomas J. Penfold, Erli Lu|2021|Chem.Commun.|57|6205|doi:10.1039/D1CC01420J
DOI: 10.5517/ccdc.csd.cc27jbns
title: CCDC 2071285: Experimental Crystal Structure Determination

description: Related Article: P. Rafael Donnarumma, Sahara Frojmovic, Paola Marino, Hudson A. Bicalho, Hatem M. Titi, Ashlee J. Howarth|2021|Chem.Commun.|57|6121|doi:10.1039/D1CC01552D
DOI: 10.5517/ccdc.csd.cc27lsd1
title: CCDC 2073633: Experimental Crystal Structure Determination

description: Related Article: Donglin He, Rob Clowes, Marc A. Little, Ming Liu, Andrew I. Cooper|2021|Chem.Commun.|57|6141|doi:10.1039/D1CC01650D
DOI: 10.5517/ccdc.csd.cc27lsf2
title: CCDC 2073634: Experimental Crystal Structure Determination

description: Related Article: Donglin He, Rob Clowes, Marc A. Little, Ming Liu, Andrew I. Cooper|2021|Chem.Commun.|57|6141|doi:10.1039/D1CC01650D
DOI: 10.5517/ccdc.csd.cc27lsg3
title: CCDC 2073635: Experimental Crystal Structure Determination

description: Related Article: Donglin He, Rob Clowes, Marc A. Little, Ming Liu, Andrew I. Cooper|2021|Chem.Commun.|57|6141|doi:10.1039/D1CC01650D
DOI: 10.5517/ccdc.csd.cc27lsh4
title: CCDC 2073636: Experimental Crystal Structure Determination

description: Related Article: Donglin He, Rob Clowes, Marc A. Little, Ming Liu, Andrew I. Cooper|2021|Chem.Commun.|57|6141|doi:10.1039/D1CC01650D
DOI: 10.5517/ccdc.csd.cc27lsj5
title: CCDC 2073637: Experimental Crystal Structure Determination

description: Related Article: Donglin He, Rob Clowes, Marc A. Little, Ming Liu, Andrew I. Cooper|2021|Chem.Commun.|57|6141|doi:10.1039/D1CC01650D
DOI: 10.5517/ccdc.csd.cc27lsc0
title: CCDC 2073632: Experimental Crystal Structure Determination

description: Related Article: Donglin He, Rob Clowes, Marc A. Little, Ming Liu, Andrew I. Cooper|2021|Chem.Commun.|57|6141|doi:10.1039/D1CC01650D
DOI: 10.5517/ccdc.csd.cc283ftn
title: CCDC 2088681: Experimental Crystal Structure Determination

description: Related Article: P. Liebing, K. Merzweiler|2021|IUCrData|6|x210594|doi:10.1107/S2414314621005940
DOI: 10.5517/ccdc.csd.cc2843zj
title: CCDC 2089337: Experimental Crystal Structure Determination

description: Related Article: Arnold L. Rheingold, Linda H. Doerrer and Hannah Skipper|2021|CSD Communication|||
DOI: 10.6084/m9.figshare.14825127.v1
title: Probe design

description: Table S3: List of probes used
DOI: 10.6084/m9.figshare.14825127
title: Probe design

description: Table S3: List of probes used
DOI: 10.25386/genetics.14377394
title: Supplemental Material for Morrison, Wonderlick, and Harms, 2021

description: Mathematical derivations and proofs for work presented in the main text. The supplement has five sections: <br>1. Necessary conditions for ensemble epistasis2. Ensemble can lead to high-order epistasis3. Epistasis between mutations within conformations can co-exist with ensemble epistasis4. Ensemble epistasis can arise for ensembles with more than three conformations5. Modeling the calcium-dependence of ensemble populations for S100A4<br>Fig S1: Demonstrates that our epistasis analysis is robust to our modeling choice for our deep-mutational scan of S100A4.
DOI: 10.25386/genetics.14377394.v1
title: Supplemental Material for Morrison, Wonderlick, and Harms, 2021

description: Mathematical derivations and proofs for work presented in the main text. The supplement has five sections: <br>1. Necessary conditions for ensemble epistasis2. Ensemble can lead to high-order epistasis3. Epistasis between mutations within conformations can co-exist with ensemble epistasis4. Ensemble epistasis can arise for ensembles with more than three conformations5. Modeling the calcium-dependence of ensemble populations for S100A4<br>Fig S1: Demonstrates that our epistasis analysis is robust to our modeling choice for our deep-mutational scan of S100A4.
DOI: 10.6084/m9.figshare.14016854.v4
title: Spatial downscaling of PISCOt v1.1: minimum temperature

description: The downscaled version of PISCOt v1.1 for minimum temperature has been created using GWR (plus bilinear interpolation) using land surface temperature and elevation at 0.01° (~1 km) in a climatologically aided process (similar to the climatologically aided interpolation).
DOI: 10.5281/zenodo.5015006
title: Daily weather data averages for Germany aggregated over official weather stations

description: Daily data averaged across Germany for the years 2016 till 2020: <strong>temperature_mean: </strong>mean daily temperature in degree Celsius averaged across all weather stations in Germany. <strong>temperature_max:</strong> maximum daily temperature in degree Celsius averaged across all weather stations in Germany. <strong>precipitation:</strong> daily precipitation sum in millimeter (equals liter per square meter) averaged across all weather stations in Germany. <strong>sunshine: </strong>sunshine duration per day averaged across all weather stations in Germany.
DOI: 10.25919/35gy-qr55
title: Parkes pulsar observations with undefined project IDs for 2021APRS_03

description: Parkes pulsar observations with undefined project IDs for 2021APRS. This collection contains observations from project ID PX075.
DOI: 10.5066/p9bh17c7
title: Unioned layers for the the Hanna 77, 78, 79 and 81 coal zones, Hanna Basin, Wyoming (ha*fing)

description: These ArcView shapefiles contain representations of numerous themes associated with the Hanna coal zones in the Hanna coalfield, Hanna Basin, Wyoming. The purpose of these shapefiles is to allow the user to perform multiple theme queries. These shapefiles were created specifically for the National Coal Resource Assessment in the Northern Rocky Mountains and Great Plains Region.
DOI: 10.25422/azu.data.14557899
title: Data for "Pioneering Poultry A Morphometric Investigation of Seventeenth- to early Twentieth-Century Domestic Chickens (Gallus gallus) in North America"

description: This is the supplemental data accompanying the paper "Pioneering Poultry A Morphometric Investigation of Seventeenth- to early Twentieth-Century Domestic Chickens (Gallus gallus) in North America". This file contains linear morphometric measurements and other data used in the analysis reported in this paper.<br>Table 1: The results of a log scaled comparison of greatest length (GL) measurements taken on archaeological chicken bones from North American assemblages against a modern reference. <br>Table 2: The results of a log scaled comparison of breadth measurements taken on archaeological chicken bones from North American assemblages against a modern reference. <br><br>Table 3: The results of a log scaled comparison of GL measurements taken on archaeological chicken bones from English assemblages against a modern reference.<br>Table 4: The results of a log scaled comparison of breadth measurements taken on archaeological chicken bones from English assemblages against a modern reference. <br><br>Table 5: The composition of the modern standard used in the analysis. Rows 1-14 report morphometric measurements taken on a sample (N=10) of each element for the modern breed listed. Rows 16-23 report the means of Male (M) and Female (F) and the log transformation of these. Rows 26-46 report the same data for the Poland bantam and Dorking used as modern references in figures. Rows 48-64 report the comparison of North American archaeological data to the modern reference.<br>Table 6: The results of a Mann-Whitney U test comparing the greatest lengths and breadths of archaeological chicken remains from North American and English sites. <br>All measurements and abbreviations follow zooarchaeological standards outlined in von den Driesch (1976). <br><br><i>For inquiries regarding the contents of this dataset, please contact the Corresponding Author listed in the README.txt file. Administrative inquiries (e.g., removal requests, trouble downloading, etc.) can be directed to data-management@arizona.edu</i>
DOI: 10.25422/azu.data.14557899.v1
title: Data for "Pioneering Poultry A Morphometric Investigation of Seventeenth- to early Twentieth-Century Domestic Chickens (Gallus gallus) in North America"

description: This is the supplemental data accompanying the paper "Pioneering Poultry A Morphometric Investigation of Seventeenth- to early Twentieth-Century Domestic Chickens (Gallus gallus) in North America". This file contains linear morphometric measurements and other data used in the analysis reported in this paper.<br>Table 1: The results of a log scaled comparison of greatest length (GL) measurements taken on archaeological chicken bones from North American assemblages against a modern reference. <br>Table 2: The results of a log scaled comparison of breadth measurements taken on archaeological chicken bones from North American assemblages against a modern reference. <br><br>Table 3: The results of a log scaled comparison of GL measurements taken on archaeological chicken bones from English assemblages against a modern reference.<br>Table 4: The results of a log scaled comparison of breadth measurements taken on archaeological chicken bones from English assemblages against a modern reference. <br><br>Table 5: The composition of the modern standard used in the analysis. Rows 1-14 report morphometric measurements taken on a sample (N=10) of each element for the modern breed listed. Rows 16-23 report the means of Male (M) and Female (F) and the log transformation of these. Rows 26-46 report the same data for the Poland bantam and Dorking used as modern references in figures. Rows 48-64 report the comparison of North American archaeological data to the modern reference.<br>Table 6: The results of a Mann-Whitney U test comparing the greatest lengths and breadths of archaeological chicken remains from North American and English sites. <br>All measurements and abbreviations follow zooarchaeological standards outlined in von den Driesch (1976). <br><br><i>For inquiries regarding the contents of this dataset, please contact the Corresponding Author listed in the README.txt file. Administrative inquiries (e.g., removal requests, trouble downloading, etc.) can be directed to data-management@arizona.edu</i>
DOI: 10.6084/m9.figshare.14016854
title: Spatial downscaling of PISCOt v1.1: minimum temperature

description: The downscaled version of PISCOt v1.1 for minimum temperature has been created using GWR (plus bilinear interpolation) using land surface temperature and elevation at 0.01° (~1 km) in a climatologically aided process (similar to the climatologically aided interpolation).
DOI: 10.6084/m9.figshare.14016854.v6
title: Spatial downscaling of PISCOt v1.1: minimum temperature

description: The downscaled version of PISCOt v1.1 for minimum temperature has been created using GWR (plus bilinear interpolation) using land surface temperature and elevation at 0.01° (~1 km) in a climatologically aided process (similar to the climatologically aided interpolation).
DOI: 10.6084/m9.figshare.14016854.v5
title: Spatial downscaling of PISCOt v1.1: minimum temperature

description: The downscaled version of PISCOt v1.1 for minimum temperature has been created using GWR (plus bilinear interpolation) using land surface temperature and elevation at 0.01° (~1 km) in a climatologically aided process (similar to the climatologically aided interpolation).
DOI: 10.5517/ccdc.csd.cc284k55
title: CCDC 2089746: Experimental Crystal Structure Determination

description: Related Article: Peter G. Jones, Matthias Freytag, Marc D. Walter|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc284kbb
title: CCDC 2089751: Experimental Crystal Structure Determination

description: Related Article: Peter G. Jones, Matthias Freytag, Marc D. Walter|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc284kcc
title: CCDC 2089752: Experimental Crystal Structure Determination

description: Related Article: Peter G. Jones, Matthias Freytag, Marc D. Walter|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc284kdd
title: CCDC 2089753: Experimental Crystal Structure Determination

description: Related Article: Peter G. Jones, Matthias Freytag, Marc D. Walter|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc284l12
title: CCDC 2089773: Experimental Crystal Structure Determination

description: Related Article: Peter G. Jones, Matthias Freytag, Jan Raeder, Marc D. Walter|2021|CSD Communication|||
DOI: 10.5066/p91qy7qi
title: Miocene Depositional Systems for the Gulf of Mexico Region

description: https://www.ig.utexas.edu/research/projects/gbds/gbds.htm. For more information and discussion of the various depositional systems the user is referred to Galloway and others
DOI: 10.5281/zenodo.4290359
title: Ecostructure Mapping Repository

description: Mapping data set (plus GIS maps) for existing artificial structures on the Irish Sea coastline: covering the coastlines of counties Louth to Cork (Ireland) and the Welsh Coastline collected as part of the Ecostructure project (www.ecostructureproject.eu). The Ecostructure project is a collaboration between five leading research-intensive universities in Wales and Ireland, Aberystwyth University (Project Lead), Bangor University, Swansea University, University College Cork and University College Dublin". Ecostructure is an interdisciplinary project which aims to raise awareness of, and provide guidance to developers and regulators on, the potential for ecologically sensitive engineering (eco-engineering) solutions for coastal infrastructure. In addition, access to a google drive folder that contains physical data (e.g pointclouds, ortho-mosaics, etc) gathered using a number of techniques (e.g. Lidar and UAV) over the fieldwork campaign of the project at a number of natural and artificial sites along the Irish & Welsh coastlines, access is available on request by email (paul.brooks@ucd.ie). When available risk assessment mapping files under different IPCC climatic change scenarios will be added to this repository as an updated version. This research was funded by the Ecostructure project (part-funded <em>by the European Regional Development Fund (ERDF) through the Ireland-Wales Cooperation Programme 2014-</em><em>2020</em> <br>
DOI: 10.5281/zenodo.4290358
title: Ecostructure Mapping Repository

description: Mapping data set (plus GIS maps) for existing artificial structures on the Irish Sea coastline: covering the coastlines of counties Louth to Cork (Ireland) and the Welsh Coastline collected as part of the Ecostructure project (www.ecostructureproject.eu). The Ecostructure project is a collaboration between five leading research-intensive universities in Wales and Ireland, Aberystwyth University (Project Lead), Bangor University, Swansea University, University College Cork and University College Dublin". Ecostructure is an interdisciplinary project which aims to raise awareness of, and provide guidance to developers and regulators on, the potential for ecologically sensitive engineering (eco-engineering) solutions for coastal infrastructure. In addition, access to a google drive folder that contains physical data (e.g pointclouds, ortho-mosaics, etc) gathered using a number of techniques (e.g. Lidar and UAV) over the fieldwork campaign of the project at a number of natural and artificial sites along the Irish & Welsh coastlines, access is available on request by email (paul.brooks@ucd.ie). When available risk assessment mapping files under different IPCC climatic change scenarios will be added to this repository as an updated version. This research was funded by the Ecostructure project (part-funded <em>by the European Regional Development Fund (ERDF) through the Ireland-Wales Cooperation Programme 2014-</em><em>2020</em> <br>