cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12782138.v1
title: Modifiable set of ESRI ArcMap-10 shape-lyr-style files implementing the Romanian color standard for soil type map legends

description: In order to use the Romanian color standard for soil type map legends, a dataset of ESRI ArcMap-10 files, consisting of a shapefile set (.dbf, .shp, .shx, .sbn, and .sbx files), four different .lyr files, and three different .style files (https://desktop.arcgis.com/en/arcmap/10.3/map/ : saving-layers-and-layer-packages, about-creating-new-symbols, what-are-symbols-and-styles-), have been prepared. The shapefile set is not a “real” georeferenced layer/coverage; it is designed only to handle all the instants of soil types from the standard legend. This legend contains 67 standard items: 63 proper colors (different color hues, each of them having, generally, 2 - 4 degrees of lightness and/or chroma, four shades of grey, and white color), and four hatching patterns on white background. The “color difference DE*<sub>ab</sub>” between any two legend colors, calculated with the color perceptually-uniform model CIELAB, is greater than 10 units, thus ensuring acceptably-distinguishable colors in the legend. The 67 standard items are assigned to 60 main soils existing in Romania, four main nonsoils, and three special cases of unsurveyed land. The soils are specified in terms of the current Romanian system of soil taxonomy, SRTS-2012+, and of the international system WRB-2014. The four different .lyr files presented here are: <i>legend_soilcode_srts_wrb.lyr</i>, <i>legend_soilcode_wrb.lyr</i>, <i>legend_colorcode_srts_wrb.lyr,</i> and <i>legend_colorcode_wrb.lyr</i>. The first two of them are built using as value field the “Soil_codes” field, and as labels (explanation texts) the “Soil_name” field (storing the soil types according to SRTS/WRB classification), respectively, the “WRB” field (the soil type according to WRB classification), while the last two .lyr files are built using as value field the “color_code” field (storing the color codes) and as labels the soil name in SRTS and WRB, respectively, in WRB classification. In order to exemplify how the legend is displayed, two .jpg files are also presented: <i>legend_soil_srts_wrb.jpg </i>and <i>legend_color_wrb.jpg</i>. The first displays the legend (symbols and labels) according to the SRTS classification order, the second according to the WRB classification. The three different .style files presented here are: <i>soil_symbols.style</i>, <i>wrb_codes.style, </i>and <i>color_codes.style</i>. They use as name the soil acronym in SRTS classification, soil acronym in WRB classification, and, respectively, the color code. The presented file set may be used to directly implement the Romanian color standard in digital soil type map legends, or may be adjusted/modified to other specific requirements.
DOI: 10.5517/ccdc.csd.cc25xj1p
title: CCDC 2023402: Experimental Crystal Structure Determination

description: Related Article: Marcos Gil‐Sepulcre,  Pablo Garrido‐Barros,  Jan Oldengott,  Ignacio Funes‐Ardoiz,  Roger Bofill,  Xavier Sala,  Jordi Benet‐Buchholz,  Antoni Llobet|2021|Angew.Chem.,Int.Ed.|60|18639|doi:10.1002/anie.202104020
DOI: 10.5517/ccdc.csd.cc25xj2q
title: CCDC 2023403: Experimental Crystal Structure Determination

description: Related Article: Marcos Gil‐Sepulcre,  Pablo Garrido‐Barros,  Jan Oldengott,  Ignacio Funes‐Ardoiz,  Roger Bofill,  Xavier Sala,  Jordi Benet‐Buchholz,  Antoni Llobet|2021|Angew.Chem.,Int.Ed.|60|18639|doi:10.1002/anie.202104020
DOI: 10.15468/mwve3g
title: Two new species of the genus Cobitis (Cypriniformes: Cobitidae) from South China

description: This dataset contains the digitized treatments in Plazi based on the original journal article Chen, Yongxia, Chen, Hao, He, Dekui, Chen, Yifeng (2018): Two new species of the genus Cobitis (Cypriniformes: Cobitidae) from South China. Zoological Systematics 43 (2): 156-168, DOI: 10.11865/zs.201814, URL: http://zoobank.org/cdb6fbd4-22eb-4e92-9f02-ac6c4d5fbffe
DOI: 10.5517/ccdc.csd.cc25xj3r
title: CCDC 2023404: Experimental Crystal Structure Determination

description: Related Article: Marcos Gil‐Sepulcre,  Pablo Garrido‐Barros,  Jan Oldengott,  Ignacio Funes‐Ardoiz,  Roger Bofill,  Xavier Sala,  Jordi Benet‐Buchholz,  Antoni Llobet|2021|Angew.Chem.,Int.Ed.|60|18639|doi:10.1002/anie.202104020
DOI: 10.5517/ccdc.csd.cc25xj4s
title: CCDC 2023405: Experimental Crystal Structure Determination

description: Related Article: Marcos Gil‐Sepulcre,  Pablo Garrido‐Barros,  Jan Oldengott,  Ignacio Funes‐Ardoiz,  Roger Bofill,  Xavier Sala,  Jordi Benet‐Buchholz,  Antoni Llobet|2021|Angew.Chem.,Int.Ed.|60|18639|doi:10.1002/anie.202104020
DOI: 10.5517/ccdc.csd.cc25xj5t
title: CCDC 2023406: Experimental Crystal Structure Determination

description: Related Article: Marcos Gil‐Sepulcre,  Pablo Garrido‐Barros,  Jan Oldengott,  Ignacio Funes‐Ardoiz,  Roger Bofill,  Xavier Sala,  Jordi Benet‐Buchholz,  Antoni Llobet|2021|Angew.Chem.,Int.Ed.|60|18639|doi:10.1002/anie.202104020
DOI: 10.5517/ccdc.csd.cc25xj6v
title: CCDC 2023407: Experimental Crystal Structure Determination

description: Related Article: Marcos Gil‐Sepulcre,  Pablo Garrido‐Barros,  Jan Oldengott,  Ignacio Funes‐Ardoiz,  Roger Bofill,  Xavier Sala,  Jordi Benet‐Buchholz,  Antoni Llobet|2021|Angew.Chem.,Int.Ed.|60|18639|doi:10.1002/anie.202104020
DOI: 10.5517/ccdc.csd.cc25xj7w
title: CCDC 2023408: Experimental Crystal Structure Determination

description: Related Article: Marcos Gil‐Sepulcre,  Pablo Garrido‐Barros,  Jan Oldengott,  Ignacio Funes‐Ardoiz,  Roger Bofill,  Xavier Sala,  Jordi Benet‐Buchholz,  Antoni Llobet|2021|Angew.Chem.,Int.Ed.|60|18639|doi:10.1002/anie.202104020
DOI: 10.5517/ccdc.csd.cc25xj8x
title: CCDC 2023409: Experimental Crystal Structure Determination

description: Related Article: Marcos Gil‐Sepulcre,  Pablo Garrido‐Barros,  Jan Oldengott,  Ignacio Funes‐Ardoiz,  Roger Bofill,  Xavier Sala,  Jordi Benet‐Buchholz,  Antoni Llobet|2021|Angew.Chem.,Int.Ed.|60|18639|doi:10.1002/anie.202104020
DOI: 10.5517/ccdc.csd.cc272wdm
title: CCDC 2058350: Experimental Crystal Structure Determination

description: Related Article: Zhiqiang Ren,  Zhongliu Sun,  Yifei Li,  Xin Fan,  Mingda Dai,  Yunxia Wang,  Xiangdong Hu|2021|Angew.Chem.,Int.Ed.|60|18572|doi:10.1002/anie.202108034
DOI: 10.6084/m9.figshare.12782105.v1
title: Development of reliably-distinguishable color legends for soil type maps based on calculation of the CIELAB color coordinates and differences

description: This MS Excel spreadsheet implements the procedure for calculating the CIELAB perceptually-uniform color attributes and color differences from the primary-defined RGB color coordinates. It may be used by map designers to obtain specific map legends comprising a large number of colors - all reliably-distinguishable from one another. The spreadsheet contains a starting list of 63 such colors – the Romanian color standard for soil type map legends (color-ordered, including lightness/chroma degrees, one color in a row). The CIELAB color attributes, color attribute differences and overall color difference are those defined by the CIELAB color model/space (CIE S 014-4:2007. Colorimetry - Part 4: CIE 1976 L*a*b* Colour space). This model/space represents a color by using three abstract coordinates (orthogonal axes): <i>L*</i> has values between 0 (black) and 100 (white), indicating the color lightness; <i>a* </i>has positive values indicating amounts of red, negative values indicating the amounts of green and the value zero indicating neutral grey; b* has positive values indicating amounts of yellow, negative values indicating the amounts of blue and the value zero indicating neutral grey. From these three coordinates, other important perceptually-uniform color attributes can be easily calculated: CIELAB chroma (C*<sub>ab</sub>), CIELAB hue angle (h<sub>ab</sub>), CIELAB attribute differences (DL*, Da*, Db*, DC*<sub>ab</sub>, Dh<sub>ab</sub>) and overall CIELAB color difference (DE*<sub>ab</sub>). The color differences calculated regarding a color are those between that color and the immediately-preceding color in the list. The list being color-ordered, the adjacent colors are normally the closest colors in the list, thus the color differences between them may be easily checked. Different other colors that appear as close in the list may be duplicated near others to see the color differences between them. The implemented calculation procedure consists of the following steps: (i) transformation of RGB coordinates to CIEXYZ coordinates, (ii) transformation of CIEXYZ coordinates to CIELAB coordinates (perceptually-uniform) and calculation of other CIELAB color attributes, and (iii) calculation of CIELAB color differences (perceptually-uniform). In order to obtain color lists (legends) appropriate for specific requirements, by using the "trial and error" method, the RGB coordinates (integer numbers between zero and 255) of the list colors can be easily modified/adjusted to define other colors that are reliably-distinguishable from one another, and/or new colors can be inserted into the list in an appropriate place (order). Usually, a color difference threshold of 10 DE*<sub>ab</sub> units ensures acceptably-distinguishable colors, but, naturally, this threshold may be increased. The “Recolor” button refreshes the colors in the “Colors” column of the spreadsheet, after RGB coordinates have been modified.
DOI: 10.6084/m9.figshare.12782105
title: Development of reliably-distinguishable color legends for soil type maps based on calculation of the CIELAB color coordinates and differences

description: This MS Excel spreadsheet implements the procedure for calculating the CIELAB perceptually-uniform color attributes and color differences from the primary-defined RGB color coordinates. It may be used by map designers to obtain specific map legends comprising a large number of colors - all reliably-distinguishable from one another. The spreadsheet contains a starting list of 63 such colors – the Romanian color standard for soil type map legends (color-ordered, including lightness/chroma degrees, one color in a row). The CIELAB color attributes, color attribute differences and overall color difference are those defined by the CIELAB color model/space (CIE S 014-4:2007. Colorimetry - Part 4: CIE 1976 L*a*b* Colour space). This model/space represents a color by using three abstract coordinates (orthogonal axes): <i>L*</i> has values between 0 (black) and 100 (white), indicating the color lightness; <i>a* </i>has positive values indicating amounts of red, negative values indicating the amounts of green and the value zero indicating neutral grey; b* has positive values indicating amounts of yellow, negative values indicating the amounts of blue and the value zero indicating neutral grey. From these three coordinates, other important perceptually-uniform color attributes can be easily calculated: CIELAB chroma (C*<sub>ab</sub>), CIELAB hue angle (h<sub>ab</sub>), CIELAB attribute differences (DL*, Da*, Db*, DC*<sub>ab</sub>, Dh<sub>ab</sub>) and overall CIELAB color difference (DE*<sub>ab</sub>). The color differences calculated regarding a color are those between that color and the immediately-preceding color in the list. The list being color-ordered, the adjacent colors are normally the closest colors in the list, thus the color differences between them may be easily checked. Different other colors that appear as close in the list may be duplicated near others to see the color differences between them. The implemented calculation procedure consists of the following steps: (i) transformation of RGB coordinates to CIEXYZ coordinates, (ii) transformation of CIEXYZ coordinates to CIELAB coordinates (perceptually-uniform) and calculation of other CIELAB color attributes, and (iii) calculation of CIELAB color differences (perceptually-uniform). In order to obtain color lists (legends) appropriate for specific requirements, by using the "trial and error" method, the RGB coordinates (integer numbers between zero and 255) of the list colors can be easily modified/adjusted to define other colors that are reliably-distinguishable from one another, and/or new colors can be inserted into the list in an appropriate place (order). Usually, a color difference threshold of 10 DE*<sub>ab</sub> units ensures acceptably-distinguishable colors, but, naturally, this threshold may be increased. The “Recolor” button refreshes the colors in the “Colors” column of the spreadsheet, after RGB coordinates have been modified.
DOI: 10.5519/qd.1ie9uqv1
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (8 records)
DOI: 10.5519/qd.hyz1zke6
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (8 records)
DOI: 10.5281/zenodo.5522919
title: Supplementary Data to *Informative and adaptive distances and summary statistics in approximate Bayesian computation*

description: Supplementary code and data to <strong>Informative and adaptive distances and summary statistics in approximate Bayesian computation</strong> by <strong>Y. Schaelte et al., 2021</strong>. The archive contains a <strong>README.rst </strong>for information on what is where and how to execute the study and generate the figures. The underlying code without the data can be found at the repository https://github.com/yannikschaelte/study_abc_slad, of which this archive is a snapshot.
DOI: 10.6084/m9.figshare.16722589.v1
title: Scavenger guild and consumption patterns of an invasive alien fish species in a Mediterranean wetland

description: Database showing in detail all data obtained from each common carp (<i>Ciprinus carpio</i>) carcass to record the terrestrial vertebrate scavenger assemblage in El Hondo Natural Park, south-eastern Spain.<b> </b> <br>
DOI: 10.6084/m9.figshare.14331299
title: Questionnaire and evaluation data on readability of colors of the Romanian Standard of colors for soil type map legends

description: This dataset contains a <i>Questionnaire</i> used to evaluate the quality of the <i>Romanian Standard of colors for soil type map legends</i> (<i>StdCol</i>) by map users and map designers. The Standard of colors resulted from the application of the specific method proposed by authors for developing reliably-distinguishable color schemes for legends of natural resource taxonomy-based maps. It was applied, in its turn, in developing the <i>Dominant Soil Map of Romania at the 1:700,000 scale</i> (<i>DSM700</i>). The Questionnaire contains the description of the Standard of colors, the items whose readability are to be evaluated (the color pairs of the Standard, the Standard as a whole, and two map excerpts), the guidelines of evaluation, and the requested general information regarding the evaluator. A <i>table</i> that presents the test/evaluation data that were obtained from 46 evaluators is given.
DOI: 10.6084/m9.figshare.16722589.v2
title: Scavenger guild and consumption patterns of an invasive alien fish species in a Mediterranean wetland

description: Database showing in detail all data obtained from each common carp (<i>Ciprinus carpio</i>) carcass to record the terrestrial vertebrate scavenger assemblage in El Hondo Natural Park, south-eastern Spain.<b> </b> <br>
DOI: 10.6084/m9.figshare.16722589.v3
title: Scavenger guild and consumption patterns of an invasive alien fish species in a Mediterranean wetland

description: Database showing in detail all data obtained from each common carp (<i>Ciprinus carpio</i>) carcass to record the terrestrial vertebrate scavenger assemblage in El Hondo Natural Park, south-eastern Spain.<b> </b> <br>
DOI: 10.5525/gla.researchdata.1178
title: A Prenylated dsRNA Sensor Protects Against Severe COVID-19

description: Underlying data from Wickenhagen et al., 2021. A Prenylated dsRNA Sensor Protects Against Severe COVID-19.
DOI: 10.25392/leicester.data.14916381.v1
title: Figure 4B Lower AJ 170117

description: This dataset comprises TIF files representing acquisitions in one single molecule experiment. There are two types of file. Each TIF file contains a stack of images representing a time series at a single field of view. An accompanying text file indicates the laser in use at each frame. For example, in the first file, the exposure time for each frame was 500 msec. Illumination was by laser 2 (640 nm, Cy5) from time frames 1 to 48, laser 3 (561 nm, mCherry) from frames 51-348 and laser 1 (488 nm, mEGFP) from frames 349 to 548. Deviation (Dev) represents the deviation of the exiting laser as a result of autofocussing from the point at which all four quarters of a quartered photodiode were irradiated with equal intensity. The experiment was done by Andrew Jobbins.
DOI: 10.25392/leicester.data.14915631.v1
title: Figure 4A Lower left AJ 151006, 150821 & 150908

description: This dataset comprises TIF files representing acquisitions in one single molecule experiment. There are two types of file. Each TIF file contains a stack of images representing a time series at a single field of view. An accompanying text file indicates the laser in use at each frame. For example, in the first file, the exposure time for each frame was 20 msec. Illumination was by laser 2 (640 nm, Cy5) from time frames 1 to 48 and laser 1 (488 nm, mEGFP) from frames 49 to 248. Deviation (Dev) represents the deviation of the exiting laser as a result of autofocussing from the point at which all four quarters of a quartered photodiode were irradiated with equal intensity. The experiment was done by Andrew Jobbins.
DOI: 10.25392/leicester.data.14915589.v1
title: Figure 4A Top left AJ 151006 & 150821

description: This dataset comprises TIF files representing acquisitions in one single molecule experiment. There are two types of file. Each TIF file contains a stack of images representing a time series at a single field of view. An accompanying text file indicates the laser in use at each frame. For example, in the first file, the exposure time for each frame was 100 msec. Illumination was by laser 2 (640 nm, Cy5) from time frames 1 to 48 and laser 1 (488 nm, mEGFP) from frames 49 to 248. Deviation (Dev) represents the deviation of the exiting laser as a result of autofocussing from the point at which all four quarters of a quartered photodiode were irradiated with equal intensity. The experiment was done by Andrew Jobbins.
DOI: 10.25392/leicester.data.14915532.v1
title: Figure 3D AJ 160121

description: This dataset comprises TIF files representing acquisitions in one single molecule experiment. There are two types of file. Each TIF file contains a stack of images representing a time series at a single field of view. An accompanying text file indicates the laser in use at each frame. For example, in the first file, the exposure time for each frame was 100 msec. Illumination was by laser 3 (561 nm, mCherry) from time frames 1 to 298 and laser 1 (488 nm, mEGFP) from frames 299 to 599. Deviation (Dev) represents the deviation of the exiting laser as a result of autofocussing from the point at which all four quarters of a quartered photodiode were irradiated with equal intensity. The experiment was done by Andrew Jobbins.
DOI: 10.25392/leicester.data.14915445.v1
title: Figure 3C AJ 161125

description: This dataset comprises TIF files representing acquisitions in one single molecule experiment. There are two types of file. Each TIF file contains a stack of images representing a time series at a single field of view. An accompanying text file indicates the laser in use at each frame. For example, in the first file, the exposure time for each frame was 100 msec. Illumination was by laser 2 (640 nm, Cy5) from time frames 1 to 48, laser 3 (561 nm, mCherry) from frames 50-248 and laser 1 (488 nm, mEGFP) from frames 103 to 242. Deviation (Dev) represents the deviation of the exiting laser as a result of autofocussing from the point at which all four quarters of a quartered photodiode were irradiated with equal intensity. The experiment was done by Andrew Jobbins.
DOI: 10.25392/leicester.data.14912451.v1
title: Figure 3B AJ 160310

description: This dataset comprises TIF files representing acquisitions in one single molecule experiment. There are two types of file. Each TIF file contains a stack of images representing a time series at a single field of view. An accompanying text file indicates the laser in use at each frame. For example, in the first file, the exposure time for each frame was 20 msec. Illumination was by laser 2 (640 nm, Cy5) from time frames 1 to 98, laser 3 (561 nm, mCherry) from frames 106-498 and laser 1 (488 nm, mEGFP) from frames 499 to 877. Deviation (Dev) represents the deviation of the exiting laser as a result of autofocussing from the point at which all four quarters of a quartered photodiode were irradiated with equal intensity. The experiment was done by Andrew Jobbins.
DOI: 10.25392/leicester.data.14910519.v1
title: Figure 2B right AJ 160223

description: This dataset comprises TIF files representing acquisitions in one single molecule experiment. There are two types of file. Each TIF file contains a stack of images representing a time series at a single field of view. An accompanying text file indicates the laser in use at each frame. For example, in the first file, the exposure time for each frame was 20 msec. Illumination was by laser 2 (640 nm, Cy5) from time frames 3 to 102 and laser 1 (488 nm, mEGFP) from frames 103 to 299. Deviation (Dev) represents the deviation of the exiting laser as a result of autofocussing from the point at which all four quarters of a quartered photodiode were irradiated with equal intensity. The experiment was done by Andrew Jobbins.
DOI: 10.25392/leicester.data.14910390.v1
title: Figure 2A right RW 120604

description: This dataset comprises TIF files representing acquisitions in one single molecule experiment. There are two types of file. Each TIF file contains a stack of images representing a time series at a single field of view. An accompanying text file indicates the laser in use at each frame. For example, in the first file, the exposure time for each frame was 100 msec. Illumination was by laser 2 (640 nm, Cy5) from time frames 1 to 48 and laser 1 (488 nm, mEGFP) from frames 49 to 665. Deviation (Dev) represents the deviation of the exiting laser as a result of autofocussing from the point at which all four quarters of a quartered photodiode were irradiated with equal intensity. The experiment was done by Robert Weinmeister.
DOI: 10.25392/leicester.data.14910243.v1
title: Figure 2A left RW 120507 & 120118

description: This dataset comprises TIF files representing acquisitions in one single molecule experiment. There are two types of file. Each TIF file contains a stack of images representing a time series at a single field of view. An accompanying text file indicates the laser in use at each frame. For example, in the first file, the exposure time for each frame was 100 msec. Illumination was by laser 2 (640 nm, Cy5) from time frames 1 to 48 and laser 1 (488 nm, mEGFP) from frames 49 to 463. Deviation (Dev) represents the deviation of the exiting laser as a result of autofocussing from the point at which all four quarters of a quartered photodiode were irradiated with equal intensity. The experiment was done by Robert Weinmeister
DOI: 10.25392/leicester.data.14893413.v1
title: Figure 2B middle AJ 160628, 160705, 160718

description: This dataset comprises TIF files representing acquisitions in one single molecule experiment. There are two types of file. Each TIF file contains a stack of images representing a time series at a single field of view. An accompanying text file indicates the laser in use at each frame. In this case, the exposure time for each frame was 20 msec. Illumination was by laser 2 (640 nm, Cy5) from time frames 3 to 102 and laser 1 (488 nm, mEGFP) from frames 103 to 242. Deviation (Dev) represents the deviation of the exiting laser as a result of autofocussing from the point at which all four quarters of a quartered photodiode were irradiated with equal intensity. The experiment was done by Andrew Jobbins.<br>