cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/p2wrs7hm4z.3
title: Dataset for classifying English words into difficulty levels by undergraduate and postgraduate students 

description: The dataset contains English words in column B. Corresponding to each word the other columns contain its frequency(fre), length(len), parts of speech(PS)  and difficulty level (level).The dataset has a total of 5372 unique words. The words marked as difficult at level 1 are 691; at level 2, they are 141; and all remaining words, viz., 4541, are easy and hence have difficulty level 0.  The  words are labeled "level 2" if they are difficult for post-graduate students, and "level 1" if they are difficult for undergraduate students. The words are labeled "level 0" if they are neither difficult for undergraduate students nor postgraduate students. The data is collected from the students of Jammu and Kashmir (a Union Territory of India). Latitude and Longitude (32.2778° N, 75.3412° E)
The description of  files attached is as:
The dataset_level CSV file is the original dataset containing English words, its length, frequency, Parts of speech and Level(difficulty level).  
The dataset_numerical CSV file contains the original dataset along with string fields transformed into numerical. 
The English language difficulty level measurement -Questionnaire (1-6) & PG1,PG2,PG3,PG4 .docx files contains the questionnaire supplied to students of College and University to underline difficult words in the English text.
IGNOU English.zip file contains the Indra Gandhi National Open University (IGNOU) English text books for graduation and post graduation students. The text for above questionnaires were taken from these IGNOU English text books.
DOI: 10.17632/p2wrs7hm4z.4
title: Dataset for classifying English words into difficulty levels by undergraduate and postgraduate students

description: The dataset contains English words in column B. Corresponding to each word the other columns contain its frequency(fre), length(len), parts of speech(PS), the number of undergraduate students which marked it difficult (difficult_ug) and the number of postgraduate students which marked it difficult (difficult_pg).The dataset has a total of 5368 unique words. The words marked as difficult by undergraduate students are 680; and those marked as difficult by postgraduate students are 151; all the remaining words, viz., 4537, are easy and hence are not marked as difficult either by undergraduate and postgraduate students. The word against which there is hyphen (-) in difficult_ug column means that this word is not present in the text circulated to undergraduate students. Likewise hyphen(-) in difficult_pg column means words not present in text circulated to postgraduate students. The data is collected from the students of Jammu and Kashmir (a Union Territory of India). Latitude and Longitude (32.2778° N, 75.3412° E) The description of files attached is as: The dataset_english CSV file is the original dataset containing English words, its length, frequency, Parts of speech, number of undergraduate and postgraduate students which marked the particular words as difficult. The dataset_numerical CSV file contains the original dataset along with string fields transformed into numerical. The English language difficulty level measurement -Questionnaire (1-6) & PG1,PG2,PG3,PG4 .docx files contains the questionnaire supplied to students of College and University to underline difficult words in the English text. IGNOU English.zip file contains the Indra Gandhi National Open University (IGNOU) English text books for graduation and post graduation students. The text for above questionnaires were taken from these IGNOU English text books.
DOI: 10.17632/p2wrs7hm4z.5
title: Dataset for classifying English words into difficulty levels by undergraduate and postgraduate students

description: The dataset contains English words in column B. Corresponding to each word the other columns contain its frequency(fre), length(len), parts of speech(PS), the number of undergraduate students which marked it difficult (difficult_ug) and the number of postgraduate students which marked it difficult (difficult_pg).The dataset has a total of 5368 unique words. The words marked as difficult by undergraduate students are 680; and those marked as difficult by postgraduate students are 151; all the remaining words, viz., 4537, are easy and hence are not marked as difficult either by undergraduate and postgraduate students. The word against which there is hyphen (-) in difficult_ug column means that this word is not present in the text circulated to undergraduate students. Likewise hyphen(-) in difficult_pg column means words not present in text circulated to postgraduate students. The data is collected from the students of Jammu and Kashmir (a Union Territory of India). Latitude and Longitude (32.2778° N, 75.3412° E)
The description of files attached is as:
The dataset_english CSV file is the original dataset containing English words, its length, frequency, Parts of speech, number of undergraduate and postgraduate students which marked the particular words as difficult. 
The dataset_numerical CSV file contains the original dataset along with string fields transformed into numerical. 
The English language difficulty level measurement -Questionnaire (1-6) & PG1,PG2,PG3,PG4 .docx files contains the questionnaire supplied to students of College and University to underline difficult words in the English text.
IGNOU English.zip file contains the Indra Gandhi National Open University (IGNOU) English text books for graduation and post graduation students. The text for above questionnaires were taken from these IGNOU English text books.
DOI: 10.17632/p2wrs7hm4z.6
title: Dataset for classifying English words into difficulty levels by undergraduate and postgraduate students

description: The dataset contains English words in column B. Corresponding to each word the other columns contain its frequency(fre), length(len), parts of speech(PS), the number of undergraduate students which marked it difficult (difficult_ug) and the number of postgraduate students which marked it difficult (difficult_pg).The dataset has a total of 5368 unique words. The words marked as difficult by undergraduate students are 680; and those marked as difficult by postgraduate students are 151; all the remaining words, viz., 4537, are easy and hence are not marked as difficult either by undergraduate and postgraduate students. The word against which there is hyphen (-) in difficult_ug column means that this word is not present in the text circulated to undergraduate students. Likewise hyphen(-) in difficult_pg column means words not present in text circulated to postgraduate students. The data is collected from the students of Jammu and Kashmir (a Union Territory of India). Latitude and Longitude (32.2778° N, 75.3412° E)
The description of files attached is as:
The dataset_english CSV file is the original dataset containing English words, its length, frequency, Parts of speech, number of undergraduate and postgraduate students which marked the particular words as difficult. 
The dataset_numerical CSV file contains the original dataset along with string fields transformed into numerical. 
The English language difficulty level measurement -Questionnaire (1-6) & PG1,PG2,PG3,PG4 .docx files contains the questionnaire supplied to students of College and University to underline difficult words in the English text.
IGNOU English.zip file contains the Indra Gandhi National Open University (IGNOU) English text books for graduation and post graduation students. The text for above questionnaires were taken from these IGNOU English text books.
DOI: 10.17632/kj7w993s66.1
title: fund carbon emission

description: Data about fund carbon emission
DOI: 10.17632/kj7w993s66.2
title: fund carbon emission

description: Data about fund carbon emission
DOI: 10.17632/xm47sf8886
title: LVDS2FMC-LPC-data-capture

description: A novel synchronization method between high-speed ADC and cost-effective custom FPGA in an FPGA-based data acquisition system

LVDS to FMC-LPC Synchronization Project

This project enables synchronization and data capture from LVDS signals through the FMC-LPC interface using an FPGA. It provides a reliable data path by implementing novel clock and frame alignment techniques.
DOI: 10.17632/xm47sf8886.1
title: LVDS2FMC-LPC-data-capture

description: A novel synchronization method between high-speed ADC and cost-effective custom FPGA in an FPGA-based data acquisition system

LVDS to FMC-LPC Synchronization Project

This project enables synchronization and data capture from LVDS signals through the FMC-LPC interface using an FPGA. It provides a reliable data path by implementing novel clock and frame alignment techniques.
DOI: 10.17632/32tf2gfr44.1
title: Exploring the Mechanism by Which Community Micro-Renewal Tourism Experience Influences Tourists’ Behavioral Intention: A Dual Perspective of Novelty-Seeking and Place Attachment

description: The quantitative phase surveyed 586 visitors using validated scales across eleven constructs, followed by structural equation modeling (SEM) using SmartPLS to test proposed hypotheses and interaction effects.
DOI: 10.17632/sfbbjrvktj.1
title: Simulating water dynamics in a thick vadose zone implications for groundwater recharge in the North China Plain

description: This dataset was used to generate figures and tables for the paper entited ”Simulating water dynamics in a thick vadose zone: implications for groundwater recharge in the North China Plain“
DOI: 10.17632/kzcxhyhpcb.1
title: The data and setups instruction of the reproducible visual exploration framework

description: the Datasets and Environmental-setups folder of the reproducible exploration framework
DOI: 10.17632/kzcxhyhpcb.2
title: The data and setups instruction of the reproducible visual exploration framework

description: the Datasets and Environmental-setups folder of the reproducible exploration framework
DOI: 10.17632/27725ppfg3.1
title: Investigation on cartilage volume and body composition in fattening pigs in different housing systems using Magnetic Resonance Imaging and Dual Energy X-ray Absorptiometry

description: Lameness and diseases of the cartilage and skeletal system in pigs are an important animal welfare issue in connection with the goal of high profitability. The aim of the study is therefore to investigate the influence of the housing system on the expression of cartilage tissue in relation to the body composition of fattening pigs. Magnetic resonance imaging (MRI) was combined with dual energy X-ray absorptiometry (DXA) to determine cartilage and body tissue characteristics. A total of 127 crossbred pigs (Piétrain x German Landrace) were examined in 3 different fattening rounds. After the first test at a live weight of 30 kg, half of the animals in each round were randomly assigned to a fully slatted housing system (multi-purpose barn = MPB) or an outdoor climate barn (OCB) with deep litter. In this step, the aim was to achieve a balanced sex ratio of female and male castrated pigs. The animals remained in the respective housing system until the end of the fattening period. Each pig was examined three times during the fattening period: at 25-30 kg (scan 30), at 60-70 kg (scan 60) and at 90-100 kg (scan 90) body weight. During the MRI examination with a Siemens Magnetom Open, two T1-weighted sequences were created of each pig at each examination time point: a sagittal sequence of the left elbow and shoulder joint and a coronary sequence of the left and right knee joint. Subsequently, a whole-body scan was performed on each pig using the GE Lunar iDXA scanner and the following values were automatically determined: bone mineral density [g/cm²], absolute bone mineral content [g], bone mineral area projection [cm²], fat tissue percentage [%], fat tissue [g], and soft lean tissue [g]. In the knee joint, there were no significant differences in cartilage volume in relation to the housing system. In the shoulder and elbow joints, however, there were significant differences in cartilage volume at the time of scan 30 that could not be explained.In contrast, the results of the DXA study show that pigs in the OCB have significantly higher BMC values than pigs from the MPB from scan 60 onwards. These differences indicate that the housing system has an effect on bone mineralisation, but possibly not on the cartilage volume during pig fattening.
DOI: 10.17632/bvgnyjxgwm
title: A temporal single-nucleus atlas of the hippocampus in temporal lobe epilepsy mice unveils neuroprotective IGF1+ microglia

description: The original western blot images of this article.
DOI: 10.17632/bvgnyjxgwm.1
title: A temporal single-nucleus atlas of the hippocampus in temporal lobe epilepsy mice unveils neuroprotective IGF1+ microglia

description: The original western blot images of this article.
DOI: 10.17632/g4mdwmm6t9.1
title: Effect of zeolite amendment on soil aggregate stability and mean weight diameter: experimental data
DOI: 10.17632/cz2r6b4755.1
title: Superconducting Field Theory (the Unification Theory)

description: Unification theory with no extra dimensions. The first part unifies the strong nuclear force with the gravitational force in a mathematical way; the quantum vacuum is treated as a deformable system by the strong nuclear force. The second part unifies the nuclear force with the quantum vacuum in a hypothetical structure; the quantum vacuum is treated as a supersymmetric and metastable system with properties related to the different types of particles’ motion.
DOI: 10.5281/zenodo.10406101
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Patrick W. Sweeney, https://orcid.org/0000-0003-1239-189X. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.5281/zenodo.10431542
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Patrick W. Sweeney, https://orcid.org/0000-0003-1239-189X. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.5281/zenodo.10713784
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Patrick W. Sweeney, https://orcid.org/0000-0003-1239-189X. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.5281/zenodo.10976225
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Patrick W. Sweeney, https://orcid.org/0000-0003-1239-189X. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.5281/zenodo.11360735
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Patrick W. Sweeney, https://orcid.org/0000-0003-1239-189X. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.5281/zenodo.15258572
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Patrick W. Sweeney, https://orcid.org/0000-0003-1239-189X. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.17632/cz2r6b4755.2
title: Superconducting Field Theory (the Unification Theory)

description: Unification theory with no extra dimensions. The first part unifies the strong nuclear force with the gravitational force in a mathematical way; the quantum vacuum is treated as a deformable system by the strong nuclear force. The second part unifies the nuclear force with the quantum vacuum in a hypothetical structure; the quantum vacuum is treated as a supersymmetric and metastable system with properties related to the different types of particles’ motion.
DOI: 10.15468/dl.gqbpkn
title: Occurrence Download

description: A dataset containing 23685 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Pelecanoides urinatrix (Gmelin, 1789)"
 ]
}

 The dataset includes 23685 records from 81 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008702-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15258573
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Johannes Paulus Lotsy, http://www.wikidata.org/entity/Q2718138. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q2718138
DOI: 10.5281/zenodo.8053148
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Johannes Paulus Lotsy, http://www.wikidata.org/entity/Q2718138. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q2718138
DOI: 10.5281/zenodo.8053149
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Johannes Paulus Lotsy, http://www.wikidata.org/entity/Q2718138. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q2718138
DOI: 10.17632/ky425hmvh5
title: Quantum Wind Rose (Quantum Entanglement)

description: It shows how the use of probabilities has been something provisional that reflects a lack of knowledge about the values of certain parameters that determine the individual behavior of the particles. The violation of Bell’s inequality can be attributed to the conjunction of a predictive completeness which can be understood as an interference, the cause of this interference may be the origin of light diffraction or effects such as double-slit experiment.
DOI: 10.17632/ky425hmvh5.1
title: Quantum Wind Rose (Quantum Entanglement)

description: It shows how the use of probabilities has been something provisional that reflects a lack of knowledge about the values of certain parameters that determine the individual behavior of the particles. The violation of Bell’s inequality can be attributed to the conjunction of a predictive completeness which can be understood as an interference, the cause of this interference may be the origin of light diffraction or effects such as double-slit experiment.
DOI: 10.5281/zenodo.10553418
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Ferdinand Albin Pax, http://www.wikidata.org/entity/Q64244. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q64244
DOI: 10.5281/zenodo.14963328
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Ferdinand Albin Pax, http://www.wikidata.org/entity/Q64244. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q64244
DOI: 10.5281/zenodo.15080183
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Ferdinand Albin Pax, http://www.wikidata.org/entity/Q64244. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q64244
DOI: 10.5281/zenodo.15258575
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Ferdinand Albin Pax, http://www.wikidata.org/entity/Q64244. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q64244
DOI: 10.5281/zenodo.8041017
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Ferdinand Albin Pax, http://www.wikidata.org/entity/Q64244. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q64244
DOI: 10.5281/zenodo.8041018
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Ferdinand Albin Pax, http://www.wikidata.org/entity/Q64244. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q64244
DOI: 10.5281/zenodo.15253492
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Augustus Addison Gould, http://www.wikidata.org/entity/Q770126. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q770126
DOI: 10.5281/zenodo.15253491
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Augustus Addison Gould, http://www.wikidata.org/entity/Q770126. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q770126
DOI: 10.5281/zenodo.15258576
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Augustus Addison Gould, http://www.wikidata.org/entity/Q770126. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q770126
DOI: 10.17632/pp7pprrz95.1
title: Energy production: traditional vs. fast

description: Set of matlab files with the code to calculate the annual energy production of a wind farm where the turbines are uniformly distributed. It uses the Park model. It contains two "main" files: one with the traditional way of calculation that can be used also for non-uniformly distributed turbines; and one with the the fast method that exploit the uniform distribution of turbines in the offshore wind farm.