cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.22008/fk2/qkvxc9/id1g2h
title: SICEv2.3.2_Svalbard_1000m_2023_07_06.nc

description: SICEv2.3.2 output: SICEv2.3.2_Svalbard_1000m_2023_07_06.nc, date: 2023-07-06
DOI: 10.17632/f8z9jts5nb.2
title: An extensive dataset of Handwritten Central Kurdish Isolated characters.

description: Data collection: Finding a suitable source of data is considered a first step toward building a database. The first step in building a database is finding a suitable source. Here, the main goal is to collect images of Kurdish handwritten characters written by many writers. So, a form is designed to do so. The form is shown in Figure 1. It consists of 1 alphabet at a time letter that has been printed on the top right corner, and it has 125 empty blocks. The writers have been asked to write each letter three times in the three empty blocks. The total number of writers is 390. The forms have been distributed among two main categories: The academic staff of the Information Technology department at Tishk International University, the university students of the University of Kurdistan-Hawler, Salahaddin University, and Tishk International University As shown in Table 2. In total there were ten sets of forms, each set with 35 forms for 35 different letters, at first, we decided that nine sets, which will give us at least 1100 images for each letter were the best option for the time that we had. Then there were some problems with the collection process, in first prints of the forms there was confusion for instance in Set 2, there were 2 forms for the letter (چ) and none for (ج), and since we printed and distributed the form at the same time, we were not aware of this problem until the stage of pre-processing, This was creating an inconsistency in the number of samples that we had, for example by the 9th set we had 504 images of the letter (ڤ), which was much less than other letters that they had at least 1000 images. So we decided to add the 10th set as a complementary to other sets, it only contained those letter, which was missing in the first 9 forms, which was (ز،ژ،ش،غ،ڤ،ق،ک،ل،ن،ی), as explained in Table 3, the First column is the letter and columns 2-11 represent several images gathered in each set accordingly, while the first row the header row 2-36 are letters in each set, last row, and last columns are for the total of each letter and each set. Labeling and Organizing : Each image is labeled with three numbers and separated by an underscore, the first number is the id of the letter according to its positing in the alphabetical order which is shown in Table 4, the second number being the number of the set of form which there was 10 sets each giving to a specific group of writers, the third number is the order of that character in the form which was between 1 to 126, so each image had a label like following 02_01_94.jpg, 02 is the order of the letter which in this case is Alef (١), then 01 being in the set number 1 which was given to 4th-grade students of Information Technology department in Tishk International University, and 94 is the order of that image in the form. Each letter was stored in a folder with its ID as the name of that folder, with each folder containing approximately 1134 images of that letter.
DOI: 10.17632/f8z9jts5nb.3
title: An extensive dataset of Handwritten Central Kurdish Isolated characters.

description: Data collection: Finding a suitable source of data is considered a first step toward building a database. The first step in building a database is finding a suitable source. Here, the main goal is to collect images of Kurdish handwritten characters written by many writers. So, a form is designed to do so. The form is shown in Figure 1. It consists of 1 alphabet at a time letter that has been printed on the top right corner, and it has 125 empty blocks. The writers have been asked to write each letter three times in the three empty blocks. The total number of writers is 390. The forms have been distributed among two main categories: The academic staff of the Information Technology department at Tishk International University, the university students of the University of Kurdistan-Hawler, Salahaddin University, and Tishk International University As shown in Table 2. In total there were ten sets of forms, each set with 35 forms for 35 different letters, at first, we decided that nine sets, which will give us at least 1100 images for each letter were the best option for the time that we had. Then there were some problems with the collection process, in first prints of the forms there was confusion for instance in Set 2, there were 2 forms for the letter (چ) and none for (ج), and since we printed and distributed the form at the same time, we were not aware of this problem until the stage of pre-processing, This was creating an inconsistency in the number of samples that we had, for example by the 9th set we had 504 images of the letter (ڤ), which was much less than other letters that they had at least 1000 images. So we decided to add the 10th set as a complementary to other sets, it only contained those letter, which was missing in the first 9 forms, which was (ز،ژ،ش،غ،ڤ،ق،ک،ل،ن،ی), as explained in Table 3, the First column is the letter and columns 2-11 represent several images gathered in each set accordingly, while the first row the header row 2-36 are letters in each set, last row, and last columns are for the total of each letter and each set. Labeling and Organizing : Each image is labeled with three numbers and separated by an underscore, the first number is the id of the letter according to its positing in the alphabetical order which is shown in Table 4, the second number being the number of the set of form which there was 10 sets each giving to a specific group of writers, the third number is the order of that character in the form which was between 1 to 126, so each image had a label like following 02_01_94.jpg, 02 is the order of the letter which in this case is Alef (١), then 01 being in the set number 1 which was given to 4th-grade students of Information Technology department in Tishk International University, and 94 is the order of that image in the form. Each letter was stored in a folder with its ID as the name of that folder, with each folder containing approximately 1134 images of that letter.
DOI: 10.17632/vsjtbzjttb.1
title: Electrical demand/consumption and climatological data of a small Mexican community

description: The present dataset contains electricity demand/consumption and meteorological data measured in a small community within the Mexican State of Puebla. The data is contained in two separate folders named electrical_demand_consumption and weather. 
The first one contains electricity demand (i.e. kW) data in 15-minute resolution, as well as data regarding the hourly and daily electricity consumption (i.e. kWh) for five different households. The data is contained within .csv files that have the following name convention: houseteh(household number) _(resolution).csv. All data was measured from May 2022 to May 2023 and is represented as a time series. In other words, each measurement is linked to a specific time, which is given using the format dd/mm/yyyy HH:MM and is contained in the first column of every .csv file.  Please note that missing values are represented with a –1; these values were added by the authors to facilitate the identification of missing values.
The second folder contains---as the name suggests—the weather measured within the community. This data is contained in a .csv file, which contains 24 different weather variables: Outdoor Temperature (°C), Feels Like (°C), Dew Point (°C), Wind Speed (m/s), Wind Gust (m/s), Max Daily Gust (m/s), Wind Direction (°), Hourly Rain (mm/h), Event Rain (mm), Daily Rain (mm), Weekly Rain (mm), Monthly Rain (mm), Yearly Rain (mm), Relative Pressure (hPa), Humidity (%), Ultra-Violet Radiation Index, Solar Radiation (W/m^2), Indoor Temperature (°C), Indoor Humidity (%), Absolute Pressure (hPa), Avg Wind Direction (10 min) (°), Avg Wind Speed (10 min) (m/s), Indoor Feels Like (°C), and Indoor Dew Point (°C). All data was measured from May 2022 to March 2023, with an irregular time interval sampling, using the format dd/mm/yyyy HH:MM in the first column of the .csv file. In this file, missing values are not included.
DOI: 10.17632/vsjtbzjttb.2
title: Electrical demand/consumption and climatological data of a small Mexican community

description: The present dataset contains electricity demand/consumption and meteorological data measured in a small community within the Mexican State of Puebla. The data is contained in two separate folders named electrical_demand_consumption and weather. 
The first one contains electricity demand (i.e. kW) data in 15-minute resolution, as well as data regarding the hourly and daily electricity consumption (i.e. kWh) for five different households. The data is contained within .csv files that have the following name convention: houseteh(household number) _(resolution).csv. All data was measured from May 2022 to May 2023 and is represented as a time series. In other words, each measurement is linked to a specific time, which is given using the format dd/mm/yyyy HH:MM and is contained in the first column of every .csv file.  Please note that missing values are represented with a –1; these values were added by the authors to facilitate the identification of missing values.
The second folder contains---as the name suggests—the weather measured within the community. This data is contained in a .csv file, which contains 24 different weather variables: Outdoor Temperature (°C), Feels Like (°C), Dew Point (°C), Wind Speed (m/s), Wind Gust (m/s), Max Daily Gust (m/s), Wind Direction (°), Hourly Rain (mm/h), Event Rain (mm), Daily Rain (mm), Weekly Rain (mm), Monthly Rain (mm), Yearly Rain (mm), Relative Pressure (hPa), Humidity (%), Ultra-Violet Radiation Index, Solar Radiation (W/m^2), Indoor Temperature (°C), Indoor Humidity (%), Absolute Pressure (hPa), Avg Wind Direction (10 min) (°), Avg Wind Speed (10 min) (m/s), Indoor Feels Like (°C), and Indoor Dew Point (°C). All data was measured from May 2022 to March 2023, with an irregular time interval sampling, using the format dd/mm/yyyy HH:MM in the first column of the .csv file. In this file, missing values are not included.
DOI: 10.17632/vsjtbzjttb.3
title: Electrical demand/consumption and climatological data of a small Mexican community

description: The present dataset contains electricity demand/consumption and meteorological data measured in a small community within the Mexican State of Puebla. The data is contained in two separate folders named electrical_demand_consumption and weather. 
The first one contains electricity demand (i.e. kW) data in 15-minute resolution, as well as data regarding the hourly and daily electricity consumption (i.e. kWh) for five different households. The data is contained within .csv files that have the following name convention: houseteh(household number) _(resolution).csv. All data was measured from May 2022 to May 2023 and is represented as a time series. In other words, each measurement is linked to a specific time, which is given using the format dd/mm/yyyy HH:MM and is contained in the first column of every .csv file.  Please note that missing values are represented with a –1; these values were added by the authors to facilitate the identification of missing values.
The second folder contains---as the name suggests—the weather measured within the community. This data is contained in a .csv file, which contains 24 different weather variables: Outdoor Temperature (°C), Feels Like (°C), Dew Point (°C), Wind Speed (m/s), Wind Gust (m/s), Max Daily Gust (m/s), Wind Direction (°), Hourly Rain (mm/h), Event Rain (mm), Daily Rain (mm), Weekly Rain (mm), Monthly Rain (mm), Yearly Rain (mm), Relative Pressure (hPa), Humidity (%), Ultra-Violet Radiation Index, Solar Radiation (W/m^2), Indoor Temperature (°C), Indoor Humidity (%), Absolute Pressure (hPa), Avg Wind Direction (10 min) (°), Avg Wind Speed (10 min) (m/s), Indoor Feels Like (°C), and Indoor Dew Point (°C). All data was measured from May 2022 to March 2023, with an irregular time interval sampling, using the format dd/mm/yyyy HH:MM in the first column of the .csv file. In this file, missing values are not included.
DOI: 10.22008/fk2/kule1q/dp2ooo
title: SICEv2.3.2_SouthernArcticCanada_1000m_2023_03_06.nc

description: SICEv2.3.2 output: SICEv2.3.2_SouthernArcticCanada_1000m_2023_03_06.nc, date: 2023-03-06
DOI: 10.22008/fk2/kule1q/oszn8a
title: SICEv2.3.2_SouthernArcticCanada_1000m_2023_03_07.nc

description: SICEv2.3.2 output: SICEv2.3.2_SouthernArcticCanada_1000m_2023_03_07.nc, date: 2023-03-07
DOI: 10.22008/fk2/qkvxc9/csu5kl
title: SICEv2.3.2_Svalbard_1000m_2023_07_08.nc

description: SICEv2.3.2 output: SICEv2.3.2_Svalbard_1000m_2023_07_08.nc, date: 2023-07-08
DOI: 10.22008/fk2/qkvxc9/fi4vhd
title: SICEv2.3.2_Svalbard_1000m_2023_07_07.nc

description: SICEv2.3.2 output: SICEv2.3.2_Svalbard_1000m_2023_07_07.nc, date: 2023-07-07
DOI: 10.17632/f8z9jts5nb.1
title: An extensive dataset of Handwritten Central Kurdish Isolated characters.

description: Finding a suitable source of data is considered as a first step toward building a database. The first step in building a database is finding a suitable source. Here, the main goal is to collect images of Kurdish handwritten characters written by many writers. So, a form is designed to do so. The form is shown in Figure 4.4. It consists of 1 alphabet at a time letter that has been printed on the top right corner, and it has 125 empty blocks. The writers have been asked to write each letter three times in the three empty blocks. The total number of writers is 390. The forms have been distributed among two main categories: The academic staff of the Information Technology department at Tishk International University, the university students of the University of Kurdistan-Hawler, Salahaddin University, and Tishk International University As shown in Table 4.5. In total there were ten sets of forms, each set with 35 forms for 35 different letters, at first, we decided that nine sets, which will give us at least 1100 images for each letter were the best option for the time that we had. Then there were some problems with the collection process, in first prints of the forms there was a confusion for instance in Set 2, there were 2 forms for the letter (چ) and none for (ج), and since we printed and distributed the form at the same time, we were not aware of this problem until the stage of pre-processing, This was creating an inconsistency in the number of samples that we had, for example by the 9th set we had 504 images of the letter (ڤ) which was much less than other letters that they had at least 1000 images. So we decided to add the 10th set as a complementary to other sets, it only contained those letter which was missing in the first 9 forms, which was (ز،ژ،ش،غ،ڤ،ق،ک،ل،ن،ی), as explained in Table 4.6, the First column is the letter and columns 2-11 represent the number of images gathered in each set accordingly, while the first row the header row 2-36 are letters in each set, last row, and last columns are for the total of each letter and each set Labeling and Organizing : Each image is labeled with three numbers and separated by an underscore, the first number is the id of the letter according to its positing in the alphabetical order which is shown in Table 4.7, the second number being the number of the set of form which there was 10 sets each giving to a specific group of writers, the third number is the order of that character in the form which was between 1 to 126, so each image had a label like following 02_01_94.jpg, 02 is the order of the letter which in this case is Alef (١), then 01 being in the set number 1 which was given to 4th-grade students of Information Technology department in Tishk International University, and 94 is the order of that image in the form. Each letter was stored in a folder with its ID is the name of the folder and each folder containing approximately 1134 images of that letter.
DOI: 10.22008/fk2/kule1q/xdpuut
title: SICEv2.3.2_SouthernArcticCanada_1000m_2023_03_08.nc

description: SICEv2.3.2 output: SICEv2.3.2_SouthernArcticCanada_1000m_2023_03_08.nc, date: 2023-03-08
DOI: 10.22008/fk2/qkvxc9/kqebau
title: SICEv2.3.2_Svalbard_1000m_2023_07_09.nc

description: SICEv2.3.2 output: SICEv2.3.2_Svalbard_1000m_2023_07_09.nc, date: 2023-07-09
DOI: 10.6084/m9.figshare.22348333
title: Frustrated chiral dynamics in an interacting triangular flux ladder

description: These data contain the numerical and experimental results shown in Figures in the main text and supplementary information. The data can be plotted by using the standard softwares.
DOI: 10.22008/fk2/kule1q/mwyarm
title: SICEv2.3.2_SouthernArcticCanada_1000m_2023_03_09.nc

description: SICEv2.3.2 output: SICEv2.3.2_SouthernArcticCanada_1000m_2023_03_09.nc, date: 2023-03-09
DOI: 10.22008/fk2/qkvxc9/shlpfr
title: SICEv2.3.2_Svalbard_1000m_2023_07_10.nc

description: SICEv2.3.2 output: SICEv2.3.2_Svalbard_1000m_2023_07_10.nc, date: 2023-07-10
DOI: 10.22008/fk2/kule1q/tnwvma
title: SICEv2.3.2_SouthernArcticCanada_1000m_2023_03_10.nc

description: SICEv2.3.2 output: SICEv2.3.2_SouthernArcticCanada_1000m_2023_03_10.nc, date: 2023-03-10
DOI: 10.22008/fk2/qkvxc9/jox5sc
title: SICEv2.3.2_Svalbard_1000m_2023_07_11.nc

description: SICEv2.3.2 output: SICEv2.3.2_Svalbard_1000m_2023_07_11.nc, date: 2023-07-11
DOI: 10.22008/fk2/kule1q/i2cwam
title: SICEv2.3.2_SouthernArcticCanada_1000m_2023_03_11.nc

description: SICEv2.3.2 output: SICEv2.3.2_SouthernArcticCanada_1000m_2023_03_11.nc, date: 2023-03-11
DOI: 10.22008/fk2/qkvxc9/xjiqu4
title: SICEv2.3.2_Svalbard_1000m_2023_07_12.nc

description: SICEv2.3.2 output: SICEv2.3.2_Svalbard_1000m_2023_07_12.nc, date: 2023-07-12
DOI: 10.6084/m9.figshare.24186142
title: Additional file 3 of Depletion of LONP2 unmasks differential requirements for peroxisomal function between cell types and in cholesterol metabolism

description: Additional file 3. This file contains 3 sheets. The first sheet "corrected abundance" presents the AUC (Area Under the Curve) values of the intensities of the corrected signals for all present compounds in the analyzed samples, obtained following our "data processing" (For more details, seeForest et al. J.Proteome Res. 2018, 17, 3657-3670). The second sheet is "statictical analysis". The third sheet "statistics + abundance" present in one glance the data from the first 2 sheets that are combined.
DOI: 10.22008/fk2/kule1q/iyydwd
title: SICEv2.3.2_SouthernArcticCanada_1000m_2023_03_12.nc

description: SICEv2.3.2 output: SICEv2.3.2_SouthernArcticCanada_1000m_2023_03_12.nc, date: 2023-03-12
DOI: 10.22008/fk2/kule1q/rno3mp
title: SICEv2.3.2_SouthernArcticCanada_1000m_2023_03_13.nc

description: SICEv2.3.2 output: SICEv2.3.2_SouthernArcticCanada_1000m_2023_03_13.nc, date: 2023-03-13
DOI: 10.22008/fk2/qkvxc9/28n0rp
title: SICEv2.3.2_Svalbard_1000m_2023_07_13.nc

description: SICEv2.3.2 output: SICEv2.3.2_Svalbard_1000m_2023_07_13.nc, date: 2023-07-13
DOI: 10.22008/fk2/kule1q/ukbtmo
title: SICEv2.3.2_SouthernArcticCanada_1000m_2023_03_14.nc

description: SICEv2.3.2 output: SICEv2.3.2_SouthernArcticCanada_1000m_2023_03_14.nc, date: 2023-03-14
DOI: 10.22008/fk2/qkvxc9/iu63uy
title: SICEv2.3.2_Svalbard_1000m_2023_07_14.nc

description: SICEv2.3.2 output: SICEv2.3.2_Svalbard_1000m_2023_07_14.nc, date: 2023-07-14
DOI: 10.22008/fk2/qkvxc9/x05uu4
title: SICEv2.3.2_Svalbard_1000m_2023_07_15.nc

description: SICEv2.3.2 output: SICEv2.3.2_Svalbard_1000m_2023_07_15.nc, date: 2023-07-15
DOI: 10.22008/fk2/kule1q/94zdcr
title: SICEv2.3.2_SouthernArcticCanada_1000m_2023_03_15.nc

description: SICEv2.3.2 output: SICEv2.3.2_SouthernArcticCanada_1000m_2023_03_15.nc, date: 2023-03-15
DOI: 10.22008/fk2/qkvxc9/6bxvk6
title: SICEv2.3.2_Svalbard_1000m_2023_07_16.nc

description: SICEv2.3.2 output: SICEv2.3.2_Svalbard_1000m_2023_07_16.nc, date: 2023-07-16
DOI: 10.22008/fk2/kule1q/0ey5h7
title: SICEv2.3.2_SouthernArcticCanada_1000m_2023_03_16.nc

description: SICEv2.3.2 output: SICEv2.3.2_SouthernArcticCanada_1000m_2023_03_16.nc, date: 2023-03-16
DOI: 10.22008/fk2/qkvxc9/lxq2gi
title: SICEv2.3.2_Svalbard_1000m_2023_07_17.nc

description: SICEv2.3.2 output: SICEv2.3.2_Svalbard_1000m_2023_07_17.nc, date: 2023-07-17
DOI: 10.6084/m9.figshare.24144144.v1
title: Additional file 8 of Amyloid fibril proteomics of AD brains reveals modifiers of aggregation and toxicity

description: Additional file 8: Table S6. List of proteins identified in label-free MS analysis of amyloid fibrils isolated from rat hippocampal and cortical neurons incubation recombinant Aβ42 seeds. Proteins identified in fibrils purified from rat cortical and hippocampal neurons (n = four). Proteins identified in least two independent fibril preparations from each culture type (&gt; 4 total, at least 2 cortex + 2 hippocampal) were considered and the table shows only those proteins that were also identified in the TMT analysis of purified amyloid from mouse brains (shown in Table S5). Experiment = specific data set, Uniprot accession = Uniprot identifier for each protein, occurrence score = number of occurrences in independent fibril preparations, description = protein description.