cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5094565
title: Perceived and observed family functioning in adolescents affected by restrictive eating disorders

description: The dataset contains scores from the Lausanne Trilogue Play videotaped triadic observation (total family scores and family organization scores) and FACES-IV self-reported test scores (all subscales and ratios) from a sample of parents and families whose member was affected by a restrictive eating disorder (RED). Data regarding FACES-IV self-report questionnaire provide a qualitative and quantitative evaluation of mothers and fathers’ perceived family functioning in different fields (e.g., communication, satisfaction, etc.). Data regarding the clinical version of the Lausanne Trilogue Play (LTPc) provide a standardized evaluation of family functioning, giving the type of family alliance. Dataset The dataset can help to understand if a typical profile is present and compare subjective family perception with standardized evaluation by the clinician. Data were collected at baseline. Dataset does not contain any longitudinal data.
DOI: 10.5281/zenodo.5094564
title: Perceived and observed family functioning in adolescents affected by restrictive eating disorders

description: The dataset contains scores from the Lausanne Trilogue Play videotaped triadic observation (total family scores and family organization scores) and FACES-IV self-reported test scores (all subscales and ratios) from a sample of parents and families whose member was affected by a restrictive eating disorder (RED). Data regarding FACES-IV self-report questionnaire provide a qualitative and quantitative evaluation of mothers and fathers’ perceived family functioning in different fields (e.g., communication, satisfaction, etc.). Data regarding the clinical version of the Lausanne Trilogue Play (LTPc) provide a standardized evaluation of family functioning, giving the type of family alliance. Dataset The dataset can help to understand if a typical profile is present and compare subjective family perception with standardized evaluation by the clinician. Data were collected at baseline. Dataset does not contain any longitudinal data.
DOI: 10.21227/mmdh-p641
title: GRAB Thought Dataset for Consciousness Models

description: Study of mind and nature of intelligence is widely studied in cognitive science. Also, Artificial Wisdom which redefines the Artificial Wisdom is emerging research area where machine intelligence must collaborates with the constructive behavior and values of humanity. Thinking ability of human beings is recognized as the consciousness. Researchers from different domains like Cognitive Science, Artificial Intelligence, Psychology, Computer Engineering etc. are used to perform experimentations on consciousness or arousal of thoughts. As like as every research, research on consciousness or thought generation requires benchmark dataset using which well-build models can be realized. Since research on consciousness is emerging area for the researchers, benchmark dataset is not available or they are not getting benchmark dataset for their work.  Unfortunately, research fraternity is striving hard in this regard. Some researchers are collecting data personally based on the application and performed their research work. But they can’t compare their work due to lack of using standard datasets. By considering this thrust in experimenting and developing computational models for consciousness or thoughts, GRAB Thought Dataset is prepared. The word GRAB is named to the dataset since initially it was created for and applied on Gharde-Ramteke Abhidhamma Based (GRAB) Thought computational model of consciousness. GRAB Thought Dataset consists of 445 samples collected from various respondents by asking three questions by showing the images of different feelings, the images of basic shapes like mango, bitter guard, car, etc., the images of few popular personalities, and popular places. It is prepared in CSV format which can be accessible by any supporting applications like Microsoft Excel, etc. GRAB Thought dataset is suitable for the supervised and unsupervised machine learning techniques like Convolutional Neural Network, K-Nearest Neighbour technique, Support Vector Machines, etc. Primary objective of this database is to apply it for generating consciousness and identifying the different types of thoughts and classifying the mental states. Thoughts are classified into four major classes Wholesome (Good), Unwholesome (Bad), Resultant and Functional and mental states are classified into three classes Ethically Variable Factor, Unwholesome Factor and Beautiful Factor. Uses of these classes are completely optional for the user they can omit fields which are specifying these classes. Principle concern of this dataset is to capture the behavior and interest of the respondents and identify their personality traits or behavioral properties or thoughts or consciousness. This database is standardized by applying data cleaning and maintaining proper variance. Various operations of Natural Language Processing can be performed on this dataset.
DOI: 10.6084/m9.figshare.19092233
title: BibliometricAtaxias

description: Se presentan cuatro bases de datos construidas a partir de información recuperada de Scopus, el día 5 de diciembre de 2021. La búsqueda consiste en aquellos documentos que contienen el texto “spinocerebellar ataxia”, al menos en sus respectivos títulos, resúmenes, o palabras claves (periodo 1960-2020). El archivo 'ataxia.csv' facilita el análisis bibliométrico con ayuda de VOSviewer (https://www.vosviewer.com/). El archivo 'ataxia.bib' es el resultado del mismo proceso de búsqueda, pero en formato BibTeX para ser procesado con ayuda de la interface web “biblioshiny”, correspondiente a la biblioteca especializada “bibliometrix” del lenguaje R (https://doi.org/10.1016/j.joi.2017.08.007). Los archivos restantes son segmentos de la base de datos en formato CSV, los cuales son procesadas con códigos desarrollados sobre lenguaje R, para el análisis estadístico (https://doi.org/10.6084/m9.figshare.19092257). Los contenidos han sido normalizados manualmente, en lo relacionado con apellidos de autores, denominación de instituciones, uniformidad en palabras clave, así como datos perdidos. Para ello, la fuente primaria se contrastó con información disponible en Google Scholar.<br>
DOI: 10.6084/m9.figshare.19092233.v3
title: BibliometricAtaxias

description: Se presentan cuatro bases de datos construidas a partir de información recuperada de Scopus, el día 5 de diciembre de 2021. La búsqueda consiste en aquellos documentos que contienen el texto “spinocerebellar ataxia”, al menos en sus respectivos títulos, resúmenes, o palabras claves. El archivo 'ataxia.csv' facilita el análisis bibliométrico con ayuda de VOSviewer (https://www.vosviewer.com/). El archivo 'ataxia.bib' es el resultado del mismo proceso de búsqueda, pero en formato BibTeX para ser procesada con ayuda de la interface web “biblioshiny”, correspondiente a la biblioteca especializada “bibliometrix” del lenguaje R (https://doi.org/10.1016/j.joi.2017.08.007). Los archivos restantes son segmentos de la base de datos en formato CSV, los cuales son procesadas con códigos desarrollados sobre lenguaje R, para el análisis estadístico (https://doi.org/10.6084/m9.figshare.19092257). Los contenidos han sido normalizados manualmente, en lo relacionado con apellidos de autores, denominación de instituciones, uniformidad en palabras clave, así como datos perdidos. Para ello, la fuente primaria se contrastó con información disponible en Google Scholar.<br>
DOI: 10.6084/m9.figshare.19076753.v1
title: NanoSIMS_depth-profiles_O- & Cs+ beam

description: Data for Figures 3 and S6 in paper: "Elucidating Heterogeneous Iron Biomineralization Patterns in a Denitrifying As(III)-Oxidizing Bacterium: Implications for Arsenic Immobilization"<br>Single Acidovorax sp. ST3 cells (7 days incubation) were selected for depth profiling. Both Cs<sup>+</sup> and O<sup>-</sup> were used as primary ions and the selected areas were not implanted prior to starting the analysis (to preserve and keep the biomineral coating on the cells intact). Image raster sizes were 3-7 µm width. Spatial resolution was achieved by using D1=4 or 5 (beam size=120-100 nm). Pixel sizes were 128 x 128 or 256 x 256, and dwell time varied from 5,000-20,000 µs px<sup>-1</sup>. 50-170 planes were collected, and the scanning was stopped when the <sup>12</sup>C<sup>14</sup>N or <sup>56</sup>Fe<sup>+ </sup>signal disappeared. The data was processed using the L’image software (Larry Nittler, Carnegie Institution of Washington) and the plugin OpenMIMS for ImageJ (www.nrims.harvard.edu). 3D reconstructions of the depth profiles were generated using the Thermo Scientific™ Avizo™ Software 9.7.0. Stack data of the negative secondary ions<sup> 12</sup>C<sup>-</sup>, <sup>56</sup>Fe<sup>16</sup>O<sup>-</sup> and <sup>75</sup>As<sup>- </sup>, and the positive secondary ions <sup>23</sup>Na<sup>+</sup>, <sup>56</sup>Fe<sup>+</sup>, and <sup>75</sup>As<sup>+</sup>, were first extracted in ImageJ and saved as “.raw” format files, which were loaded into Avizo™. The Z depth was compressed to 15-20 %. The <sup>12</sup>C<sup>-</sup> and <sup>23</sup>Na<sup>+ </sup>signals were smoothed over 2-3 pixels. The commands “generate surface” and “show surface” were used sequentially, and the “transparent” display with a transparency of 80 % was selected. <sup>56</sup>Fe<sup>+</sup> and <sup>56</sup>Fe<sup>16</sup>O<sup>-</sup> signals were smoothed to 2 pixels and displayed as “shaded”. The <sup>75</sup>As<sup>+/- </sup>ion counts were smoothed to 1 pixel.<br>Four depth profile files are presented, including the .im raw nanoSIMS files, extracted <sup>75</sup>As<sup>+/-</sup>, <sup>56</sup>Fe<sup>16</sup>O<sup>-</sup>/<sup>56</sup>Fe<sup>+</sup>, <sup>12</sup>C/<sup>23</sup>Na counts as .raw format (ready to load into AVIZO), and complementary image and videos of the 3D reconstructions for each depth profile (jpg and mpg formats).
DOI: 10.6084/m9.figshare.19064465.v1
title: NanoSIMS_Cs+beam_biofilm-growth_days 7&14

description: Data for Figures 1, 2 and S5 in paper: "Elucidating Heterogeneous Iron Biomineralization Patterns in a Denitrifying As(III)-Oxidizing Bacterium: Implications for Arsenic Immobilization"Sample preparation:<br>Acidovorax sp. strain ST3 cells were grown anoxically in low phosphate medium with <sup>13</sup>C-labelled acetate (10 mM), nitrate (10 mM), arsenite (0.5 mM) and Fe(II) (4 mM) for 7 or 14 days. Si wafers were introduced in the incubation bottles, to support surface colonization and precipitation of biominerals. The samples were fixed with glutaraldehyde and dehydrated with ethanol solutions, air-dried and Pt coated (10 nm). NanoSIMS analysis details:<br>NanoSIMS analysis was performed in a NanoSIMS 50L ion microprobe (CAMECA) using a Cs<sup>+</sup> primary ion beam at 16 keV. The beam current was between 0.131-1.435 pA with a spatial resolution from 150-300 nm (D1 aperture= 4-2). The negative secondary ions detected simultaneously were:<sup> 12</sup>C, <sup>13</sup>C, <sup>12</sup>C<sup>14</sup>N, <sup>28</sup>Si, <sup>56</sup>Fe<sup>12</sup>C, <sup>56</sup>Fe<sup>16</sup>O and <sup>75</sup>As. An ion-induced SE image was also obtained. The regions of analysis (ROIs) were implanted with Cs<sup>+</sup> ions to a dose of 1x10<sup>17</sup> ions cm<sup>-2</sup> to remove the Pt coating and reach steady state. The dwell time for image collection was between 2000-5000 µs px<sup>-1</sup>. The CAMECA mass resolving power (MRP) was &gt;7000 using ES=3 and AS=2. The image pixel sizes were 128 x 128 or 256 x 256. The field of view of these nanoSIMS ions images was 30-60 µm. The data was processed using the L’image software (Larry Nittler, Carnegie Institution of Washington) and the plugin OpenMIMS for ImageJ (www.nrims.harvard.edu). <br>About the files: Three and nine nanoSIMS files are presented for days 7 and 14 of incubation, respectively. Files are presented in the .im raw nanoSIMS file format with additional complementary png images showing all the masses for each area of interest (AOI). All normalised counts and AOI details are compiled in the Excel spreadsheet.
DOI: 10.6084/m9.figshare.19076753
title: NanoSIMS depth profiles of biomineralized cells of Acidovorax sp. ST3 grown under denitrifying and As(III) & Fe(II)-oxidizing conditions, using both the O- & Cs+ beams

description: Data for Figures 3 and S6 in paper: "Elucidating Heterogeneous Iron Biomineralization Patterns in a Denitrifying As(III)-Oxidizing Bacterium: Implications for Arsenic Immobilization"<br>Single Acidovorax sp. ST3 cells (7 days incubation) were selected for depth profiling. Both Cs<sup>+</sup> and O<sup>-</sup> were used as primary ions and the selected areas were not implanted prior to starting the analysis (to preserve and keep the biomineral coating on the cells intact). Image raster sizes were 3-7 µm width. Spatial resolution was achieved by using D1=4 or 5 (beam size=120-100 nm). Pixel sizes were 128 x 128 or 256 x 256, and dwell time varied from 5,000-20,000 µs px<sup>-1</sup>. 50-170 planes were collected, and the scanning was stopped when the <sup>12</sup>C<sup>14</sup>N or <sup>56</sup>Fe<sup>+ </sup>signal disappeared. The data was processed using the L’image software (Larry Nittler, Carnegie Institution of Washington) and the plugin OpenMIMS for ImageJ (www.nrims.harvard.edu). 3D reconstructions of the depth profiles were generated using the Thermo Scientific™ Avizo™ Software 9.7.0. Stack data of the negative secondary ions<sup> 12</sup>C<sup>-</sup>, <sup>56</sup>Fe<sup>16</sup>O<sup>-</sup> and <sup>75</sup>As<sup>- </sup>, and the positive secondary ions <sup>23</sup>Na<sup>+</sup>, <sup>56</sup>Fe<sup>+</sup>, and <sup>75</sup>As<sup>+</sup>, were first extracted in ImageJ and saved as “.raw” format files, which were loaded into Avizo™. The Z depth was compressed to 15-20 %. The <sup>12</sup>C<sup>-</sup> and <sup>23</sup>Na<sup>+ </sup>signals were smoothed over 2-3 pixels. The commands “generate surface” and “show surface” were used sequentially, and the “transparent” display with a transparency of 80 % was selected. <sup>56</sup>Fe<sup>+</sup> and <sup>56</sup>Fe<sup>16</sup>O<sup>-</sup> signals were smoothed to 2 pixels and displayed as “shaded”. The <sup>75</sup>As<sup>+/- </sup>ion counts were smoothed to 1 pixel.<br>Four depth profile files are presented, including the .im raw nanoSIMS files, extracted <sup>75</sup>As<sup>+/-</sup>, <sup>56</sup>Fe<sup>16</sup>O<sup>-</sup>/<sup>56</sup>Fe<sup>+</sup>, <sup>12</sup>C/<sup>23</sup>Na counts as .raw format (ready to load into AVIZO), and complementary image and videos of the 3D reconstructions for each depth profile (jpg and mpg formats).
DOI: 10.6084/m9.figshare.19076753.v2
title: NanoSIMS depth profiles, O- & Cs+ beam

description: Data for Figures 3 and S6 in paper: "Elucidating Heterogeneous Iron Biomineralization Patterns in a Denitrifying As(III)-Oxidizing Bacterium: Implications for Arsenic Immobilization"<br>Single Acidovorax sp. ST3 cells (7 days incubation) were selected for depth profiling. Both Cs<sup>+</sup> and O<sup>-</sup> were used as primary ions and the selected areas were not implanted prior to starting the analysis (to preserve and keep the biomineral coating on the cells intact). Image raster sizes were 3-7 µm width. Spatial resolution was achieved by using D1=4 or 5 (beam size=120-100 nm). Pixel sizes were 128 x 128 or 256 x 256, and dwell time varied from 5,000-20,000 µs px<sup>-1</sup>. 50-170 planes were collected, and the scanning was stopped when the <sup>12</sup>C<sup>14</sup>N or <sup>56</sup>Fe<sup>+ </sup>signal disappeared. The data was processed using the L’image software (Larry Nittler, Carnegie Institution of Washington) and the plugin OpenMIMS for ImageJ (www.nrims.harvard.edu). 3D reconstructions of the depth profiles were generated using the Thermo Scientific™ Avizo™ Software 9.7.0. Stack data of the negative secondary ions<sup> 12</sup>C<sup>-</sup>, <sup>56</sup>Fe<sup>16</sup>O<sup>-</sup> and <sup>75</sup>As<sup>- </sup>, and the positive secondary ions <sup>23</sup>Na<sup>+</sup>, <sup>56</sup>Fe<sup>+</sup>, and <sup>75</sup>As<sup>+</sup>, were first extracted in ImageJ and saved as “.raw” format files, which were loaded into Avizo™. The Z depth was compressed to 15-20 %. The <sup>12</sup>C<sup>-</sup> and <sup>23</sup>Na<sup>+ </sup>signals were smoothed over 2-3 pixels. The commands “generate surface” and “show surface” were used sequentially, and the “transparent” display with a transparency of 80 % was selected. <sup>56</sup>Fe<sup>+</sup> and <sup>56</sup>Fe<sup>16</sup>O<sup>-</sup> signals were smoothed to 2 pixels and displayed as “shaded”. The <sup>75</sup>As<sup>+/- </sup>ion counts were smoothed to 1 pixel.<br>Four depth profile files are presented, including the .im raw nanoSIMS files, extracted <sup>75</sup>As<sup>+/-</sup>, <sup>56</sup>Fe<sup>16</sup>O<sup>-</sup>/<sup>56</sup>Fe<sup>+</sup>, <sup>12</sup>C/<sup>23</sup>Na counts as .raw format (ready to load into AVIZO), and complementary image and videos of the 3D reconstructions for each depth profile (jpg and mpg formats).
DOI: 10.6084/m9.figshare.19064465
title: NanoSIMS files of Acidovorax sp. ST3 biofilm and biominerals obtained under denitrifying and As(III) & Fe(II)-oxidizing conditions, after 7 & 14 days of incubation, using the Cs+ beam

description: Data for Figures 1, 2 and S5 in paper: "Elucidating Heterogeneous Iron Biomineralization Patterns in a Denitrifying As(III)-Oxidizing Bacterium: Implications for Arsenic Immobilization"Sample preparation:<br>Acidovorax sp. strain ST3 cells were grown anoxically in low phosphate medium with <sup>13</sup>C-labelled acetate (10 mM), nitrate (10 mM), arsenite (0.5 mM) and Fe(II) (4 mM) for 7 or 14 days. Si wafers were introduced in the incubation bottles, to support surface colonization and precipitation of biominerals. The samples were fixed with glutaraldehyde and dehydrated with ethanol solutions, air-dried and Pt coated (10 nm). NanoSIMS analysis details:<br>NanoSIMS analysis was performed in a NanoSIMS 50L ion microprobe (CAMECA) using a Cs<sup>+</sup> primary ion beam at 16 keV. The beam current was between 0.131-1.435 pA with a spatial resolution from 150-300 nm (D1 aperture= 4-2). The negative secondary ions detected simultaneously were:<sup> 12</sup>C, <sup>13</sup>C, <sup>12</sup>C<sup>14</sup>N, <sup>28</sup>Si, <sup>56</sup>Fe<sup>12</sup>C, <sup>56</sup>Fe<sup>16</sup>O and <sup>75</sup>As. An ion-induced SE image was also obtained. The regions of analysis (ROIs) were implanted with Cs<sup>+</sup> ions to a dose of 1x10<sup>17</sup> ions cm<sup>-2</sup> to remove the Pt coating and reach steady state. The dwell time for image collection was between 2000-5000 µs px<sup>-1</sup>. The CAMECA mass resolving power (MRP) was &gt;7000 using ES=3 and AS=2. The image pixel sizes were 128 x 128 or 256 x 256. The field of view of these nanoSIMS ions images was 30-60 µm. The data was processed using the L’image software (Larry Nittler, Carnegie Institution of Washington) and the plugin OpenMIMS for ImageJ (www.nrims.harvard.edu). <br>About the files: Three and nine nanoSIMS files are presented for days 7 and 14 of incubation, respectively. Files are presented in the .im raw nanoSIMS file format with additional complementary png images showing all the masses for each area of interest (AOI). All normalised counts and AOI details are compiled in the Excel spreadsheet.
DOI: 10.6084/m9.figshare.19064465.v3
title: NanoSIMS files of Acidovorax sp. ST3 biofilm and biominerals obtained under denitrifying and As(III) & Fe(II)-oxidizing conditions, after 7 & 14 days of incubation, using the Cs+ beam

description: Data for Figures 1, 2 and S5 in paper: "Elucidating Heterogeneous Iron Biomineralization Patterns in a Denitrifying As(III)-Oxidizing Bacterium: Implications for Arsenic Immobilization"Sample preparation:<br>Acidovorax sp. strain ST3 cells were grown anoxically in low phosphate medium with <sup>13</sup>C-labelled acetate (10 mM), nitrate (10 mM), arsenite (0.5 mM) and Fe(II) (4 mM) for 7 or 14 days. Si wafers were introduced in the incubation bottles, to support surface colonization and precipitation of biominerals. The samples were fixed with glutaraldehyde and dehydrated with ethanol solutions, air-dried and Pt coated (10 nm). NanoSIMS analysis details:<br>NanoSIMS analysis was performed in a NanoSIMS 50L ion microprobe (CAMECA) using a Cs<sup>+</sup> primary ion beam at 16 keV. The beam current was between 0.131-1.435 pA with a spatial resolution from 150-300 nm (D1 aperture= 4-2). The negative secondary ions detected simultaneously were:<sup> 12</sup>C, <sup>13</sup>C, <sup>12</sup>C<sup>14</sup>N, <sup>28</sup>Si, <sup>56</sup>Fe<sup>12</sup>C, <sup>56</sup>Fe<sup>16</sup>O and <sup>75</sup>As. An ion-induced SE image was also obtained. The regions of analysis (ROIs) were implanted with Cs<sup>+</sup> ions to a dose of 1x10<sup>17</sup> ions cm<sup>-2</sup> to remove the Pt coating and reach steady state. The dwell time for image collection was between 2000-5000 µs px<sup>-1</sup>. The CAMECA mass resolving power (MRP) was &gt;7000 using ES=3 and AS=2. The image pixel sizes were 128 x 128 or 256 x 256. The field of view of these nanoSIMS ions images was 30-60 µm. The data was processed using the L’image software (Larry Nittler, Carnegie Institution of Washington) and the plugin OpenMIMS for ImageJ (www.nrims.harvard.edu). <br>About the files: Three and nine nanoSIMS files are presented for days 7 and 14 of incubation, respectively. Files are presented in the .im raw nanoSIMS file format with additional complementary png images showing all the masses for each area of interest (AOI). All normalised counts and AOI details are compiled in the Excel spreadsheet.
DOI: 10.6084/m9.figshare.19064465.v2
title: NanoSIMS Cs+beam, biofilm growth, days 7&14

description: Data for Figures 1, 2 and S5 in paper: "Elucidating Heterogeneous Iron Biomineralization Patterns in a Denitrifying As(III)-Oxidizing Bacterium: Implications for Arsenic Immobilization"Sample preparation:<br>Acidovorax sp. strain ST3 cells were grown anoxically in low phosphate medium with <sup>13</sup>C-labelled acetate (10 mM), nitrate (10 mM), arsenite (0.5 mM) and Fe(II) (4 mM) for 7 or 14 days. Si wafers were introduced in the incubation bottles, to support surface colonization and precipitation of biominerals. The samples were fixed with glutaraldehyde and dehydrated with ethanol solutions, air-dried and Pt coated (10 nm). NanoSIMS analysis details:<br>NanoSIMS analysis was performed in a NanoSIMS 50L ion microprobe (CAMECA) using a Cs<sup>+</sup> primary ion beam at 16 keV. The beam current was between 0.131-1.435 pA with a spatial resolution from 150-300 nm (D1 aperture= 4-2). The negative secondary ions detected simultaneously were:<sup> 12</sup>C, <sup>13</sup>C, <sup>12</sup>C<sup>14</sup>N, <sup>28</sup>Si, <sup>56</sup>Fe<sup>12</sup>C, <sup>56</sup>Fe<sup>16</sup>O and <sup>75</sup>As. An ion-induced SE image was also obtained. The regions of analysis (ROIs) were implanted with Cs<sup>+</sup> ions to a dose of 1x10<sup>17</sup> ions cm<sup>-2</sup> to remove the Pt coating and reach steady state. The dwell time for image collection was between 2000-5000 µs px<sup>-1</sup>. The CAMECA mass resolving power (MRP) was &gt;7000 using ES=3 and AS=2. The image pixel sizes were 128 x 128 or 256 x 256. The field of view of these nanoSIMS ions images was 30-60 µm. The data was processed using the L’image software (Larry Nittler, Carnegie Institution of Washington) and the plugin OpenMIMS for ImageJ (www.nrims.harvard.edu). <br>About the files: Three and nine nanoSIMS files are presented for days 7 and 14 of incubation, respectively. Files are presented in the .im raw nanoSIMS file format with additional complementary png images showing all the masses for each area of interest (AOI). All normalised counts and AOI details are compiled in the Excel spreadsheet.