cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/nkpmdtdkfw.1
title: XRD & XRF raw data

description: In this data base you will find the original data used to construct the XRD patterns and the XRF spectra, both graphs were created in OriginPro 2019b software.
DOI: 10.17632/dvrscpc6vc.1
title: Javanese Gamelan Notation

description: This dataset is a collection of notations of several Javanese gamelan songs that are composed with several instruments in the gamelan, such as: saron, demung, slenthem, peking, bonang barung, bonang penerus, kenong, kethuk, kempyang, kempul, gong cilik, and gong gedhe instruments.
DOI: 10.17632/tv6w6yyfy8.1
title: Dataset assessing three samples of French university students to 5 personality tests: IPO, PDQ-4+, PANAS, AQ and HADS.

description: This dataset provides the results of three samples of French university students to 5 personality tests: IPO, PDQ-4+, PANAS, AQ and HADS.
The first part of this dataset (Study 1) comprise 602 first- and second-year psychology students (University of Angers, France): 112 men, 486 women, and 4 participants of unspecified gender. This gender ratio is typical of first- and second years psychology students in France. The mean age of the sample is 19.40 years (SD = 1.95). 
This first part of dataset is composed of two separate samples: 269 first-year students (Sample 1 = Study 1 Sample 1.xlsx) and 333 second-year (Sample 2 = Study 1 Sample 2.xlsx).
This first part of this dataset gives the scores obtained by this sample of students to the French version of the Inventory of Personality Organization (Kernberg). In IPO, the level of personality organization is established by assessing three main components of personality, namely primitive Psychological defenses (PD = 16 items), Reality testing (RT= 21 items), and identity diffusion (ID = 20 items). Personality disorders manifest themselves in high levels of one or more of these three dimensions (scales). This data set gives the results obtained by this group of students on these 57 items.
The second part of this dataset (Study 2 = Study 2.xlsx) is consisted of 305 students from different departments (Arts and humanities) at the University of Angers. It is composed of 63 men and 242 women, with a mean age of 19.83 years (SD = 2.12). 
The second part of this dataset offers the results of this sample of students to the three scales (PD/RT/ID) of the French version of the IPO and to the French versions of the following tests: Personality Diagnostic Questionnaire-4+ (PDQ-4+), Positive and Negative Affect Schedule (PANAS), Aggression Questionnaire (AQ), and Hospital Anxiety and Depression Scale (HADS).
These two studies were approved by the research ethics committee of Angers University (November 2021). Data were collected from 26 November 2021 to 19 February 2022. The studies were described to the prospective respondents: the purpose of the study, procedural instructions, and ethical considerations. Respondents then signed a free and informed consent form, in accordance with the French Code of Ethics for Psychologists. Students who agreed to participate provided basic demographic information (gender and age) and answered the questionnaire anonymously via a computer. All the tests were administered individually to each participant. Responses were collected anonymously.
DOI: 10.17632/w4hm5vymym.1
title: ELSEPA–Dirac partial-wave calculation of elastic scattering of electrons and positrons by atoms, positive ions and molecules (New Version Announcement)

description: A new version of the Fortran program ELSEPA, which calculates differential and integrated cross sections for elastic scattering of electrons and positrons, is presented. Details of the program and its applications are given in the original paper [Comput. Phys. Commun. 165 (2005) 157–190]. Dirac phase shifts are now calculated by using the recently published subroutine package RADIAL (Salvat and Fernández-Varea, 2019), which solves the radial wave equation for real or complex central potentials by means of a robust and accurate power-series method. In addition, elastic collisions with atoms in elemental solids are described by using the muffin-tin optical model potential proposed by Bote et al., (2009), which is somewhat more elaborate and flexible than that in the original ELSEPA code and allows adjusting the absorption potential to give inelastic cross sections in close agreement with empirical data. With the use of the RADIAL subroutines, the work of ELSEPA is reduced to (1) the definition of the interaction potential and (2) the summation of the partial-wave series of the scattering amplitudes. The structure of the new code has been simplified and stricter criteria for the convergence of the partial-wave series have been adopted. The distribution package includes GNUPLOT scripts for easy visualization of the calculation results. The previous version of this program (ADUS_v1_0) may be found at https://dx.doi.org/10.1016/j.cpc.2004.09.006.
DOI: 10.17632/fyybnjkw7v.1
title: Synthetic (DeepFake) Knee Osteoarthritis X-ray Images from Generative Adversarial Neural Networks

description: This dataset contains three archives of images; The archive named '320K DeepFake KOA Images' contains 320,000 DeepFake (synthetic) images generated with the method described in the reference article. The remaining archives, 'KNN Model Validation' and 'Survey Items' include the images used to perform the corresponding tasks in the reference article.
DOI: 10.17632/4w4btsjzpj.1
title: Tropical Forest Tree Names - Indigenous People versus Arborist

description: The tree names supplied by respondents - indigenous people (Jahai Tribe) are compared with tree name's given by professional arborist . The trees are drawn from forest species at Royal Belum Reserve Park - virgin forest at the Southest Asia - Perak Malaysia
DOI: 10.17632/8nr3pbdk5c.1
title: KVIS Thai OCR Dataset

description: Offline Thai Handwritten Character Dataset
DOI: 10.17632/sddggjrs36.1
title: Data for: Agricultural recommendation system for crop protection

description: These files contains the Pests in Crops and their Treatments Ontology (PCT-O) schema and the instances extracted from the Spanish Ministy of Agriculture guides for crop treatment. The instances are represented according to the PCT-O schema.
DOI: 10.17632/9b725x7mvb.1
title: Resting heart rate

description: Summary statistics of the GWAS on resting heart rate. Included in this folder are:

1. RHR_UKB.all.gz						: The GWAS of resting heart rate in the UK Biobank
2. RHR_ICRHR_all.top10000.gz			: The 10.000 SNPs with the lowest P-values of the GWAS meta-analysis of the 99 cohorts that contributed to the IC-RHR
3. RHR_ICRHR_without23andme.gz		: The GWAS meta-analysis of 98 cohorts that contributed to the IC-RHR, excluding 23andME (N=51.039)
4. RHR_UKBplusICRHR_all.top10000		: The 10.000 SNPs with the lowest P-values of the GWAS meta-analysis of the UK Biobank and IC-RHR
5. RHR_UKBplusICRHR.all.gz			: The GWAS meta-analysis of the UK Biobank and IC-RHR, excluding 23andME (N=51.039)
DOI: 10.17632/vfvw7g8s8h.2
title: SysCall Dataset: A Dataset for Context Modeling and Anomaly Detection using System Calls

description: Context modeling and anomaly detection use abstractions from the processes and applications to create state-transition graphs that verify system performance. However, this approach of model performance verification is limited as state explosion problem forces designers to use process abstraction which does not capture the intricate interactions amongst the processes, the hardware, and the kernel during execution. Also, the timing constraints of some process executions are challenging to model using the simple state-transition graphs. In this paper, we describe a dataset of system call events from an uncrewed aerial vehicle (UAV) which capture the order and type of system calls as well as the timestamp of the system call events as the UAV operates in a simulated platform. Since processes call the system call events, then an ingenious reverse engineering process of using the system call events generated by each process1 can be used to audit the behavior of the application. The system call events provide an in-depth view of the process interactions while the timestamp of the events helps in modeling timing requirements during process execution. The UAV application is modeled using state machines, and as the application operates from the start state to the end state, we record the system call events and the timestamp of the events using the process identifiers, and other IDs that show that the monitored process generated the system call event. We package the UAV application, the instrumentation script, and the Bochs CPU emulator into a Docker container for the ease of generating datasets (similar to field datasets) in the laboratory with minimal cost. Therefore, the dataset is useful for in-depth modern cyber-threat analysis.
DOI: 10.17632/bvf34f32t9.1
title: The nurse's role in preventing delirium in critically ill adult/elderly patients

description: Delirium is an acute brain dysfunction, associated with increased mortality and morbidity, which often affects critically ill adult/elderly patients. Nurses have a crucial role in the prevention/control of delirium, through the implementation of non-pharmacological interventions. The objective is to know the nursing interventions in the identification, prevention and control of delirium in adult/critical elderly patients.
13 studies were identified, which present nursing interventions, mostly non-pharmacological, for the prevention and control of delirium in adult/critical elderly patients. Of these, interventions related to the environment, sleep promotion, early therapeutic intervention, cognitive assessment and patient orientation, interventions systematized in protocols, as well as interventions aimed at the participation of family members, the training of nurses and the teaching of patients are evident. Risk factors for the development of delirium and assessment tools were also identified.
The prevention of delirium is important and imperative, since its occurrence in critically ill patients is associated with increased mortality, morbidity, length of stay and a high hospital cost. The identification of risk factors for the occurrence of delirium should be included in delirium management protocols.  
In conclusion, the evidence has shown that nurses are essential in the early identification, prevention and control of delirium, preventing the progression of the disease, contributing to the reduction of morbidity and mortality. The nursing intervention must include the identification of predisposing and/or precipitating factors to contribute to the reduction of the occurrence and/or resolution of delirium.
DOI: 10.17632/snmz587nvb.2
title: Acceleration time history data for experimental shear building model (Kumar Anjneya & Koushik Roy)

description: The dataset contains dynamic floor responses from a six-storey three-dimensional miniature model (scale 1:20) of shear building. The experimental setup is located at Structural health monitoring lab, Block VI, Department of Civil and Environmental engineering, Indian Institute of technology (IIT), Patna, Bihar, India. The experiment was conducted by Kumar Anjneya, currently a research Scholar at Indian Institute of technology (IIT), Kharagpur, India.
DOI: 10.17632/zsrk4cngtr.2
title: Dataset of signals acquired from MEMS accelerometers during seismic events in Central Italy

description: Dataset of acceleration signals acquired from a low-cost Wireless Sensor Network (WSN) during seismic events occurred in Central Italy. The WSN consists of 5 low-cost sensor nodes, each embedding an ADXL355 tri-axial MEMS accelerometer with a fixed sampling frequency of 250 Hz. Continuous data was acquired from February 2023 to the end of June 2023. 
The continuous data was then trimmed around the origin time of seismic events that occurred near the installation site, close to the city of Pollenza (MC), Italy, during the acquisition period. A total of 67 events were selected from the Italian Istituto Nazionale di Geofisica e Vulcanologia (INGV) Seismology data center. The waveform data was then further analyzed and annotated by analysts from INGV. Annotations include a pick time for the S and P wave, and an uncertainty level for the annotations.

The data consists of two datasets, one containing earthquake traces, the other containing noise-only traces. There are two folders: the dataset_earthquakes folder contains seismic traces; the dataset_noise folder contains noise-only traces.

The earthquake dataset consists of 328 3x25001 arrays, each related to a seismic event and with its own metadata. The dataset follows the Seisbench format, in which each trace follows the convention 'bucket0$trace_number;:n_dimensions;:n_samples', where 'bucket0' indicates the block to which the trace belongs; 'trace_number' indicates the trace' index within the block; 'n_dimensions' denotes the number of measurement axes; and 'n_samples' represents the number of samples in the trace. The waveforms are included in the the waveforms.hdf5 file of the earthquake_dataset folder, while the metadata is in the metadata.csv file in the folder. For each trace in the waveforms.hdf5 file there is an associated row in the metadata.csv file at the same index (indicated by 'trace_number' in the trace name). 

The original miniSEED files that were analyzed by the INGV analysts are made available. They are contained in the miniseed_files folder. Each file name follows the format '_eventID_originTime_WS.POZA.Sx.DNy.MSEED' where eventID is the ID of the event that is recorded in the trace, originTime is the origin of the event in UTC time (expressed with the YYYY-MM-DDThh:mm:ss.ssssss format), x is a number that is used to identify the sensor that recorded the trace, y indicates the measurement direction of that trace, named '1', '2', 'Z'. For each trace in the waveforms.hdf5 file, the name of the miniSEED files that comprise the trace are in the metadata row for that trace, under the ‘trace_name_original_1’, ‘trace_name_original_2’, and ‘trace_name_original_Z’ fields in the metadata.csv file.

The dataset_noise folder follows the same convention. It contains a waveforms.hdf5 file with waveforms without seismic activity. The metadata_csv file has the metadata associated to each noise trace. The miniSEED_files_noise folder contains the original miniSEED files of the noise traces.
DOI: 10.17632/p6tym3fghz.1
title: Dataset of intrusion detection alerts from a sharing platform

description: The dataset consists of the main file with the intrusion detection alerts and four auxiliary files with enriched data. The alerts were collected from the SABU alert sharing platform for one week and are stored in the IDEA format. Almost 12 million alerts were collected from 34 intrusion detection systems, honeypots, and other data sources deployed in 3 distinct organizations. The IP addresses, hostname, URLs, and other identifiers in the alerts are anonymized, but the information in the auxiliary files allow for the profiling of malicious actors. The auxiliary files contain information on over 1.7 million IP addresses contained in the alerts, the most frequent identifiers of attackers and victims of observed events. Reputation scores, geolocation, and data from PassiveDNS system are provided. The reputation scores include information on the presence of the IP addresses on publicly available blacklists or results of scans by Internet-wide scanners. The geolocation provides the approximate geographical locations of the IP addresses; a data layer for a common geographical information system is provided. The PassiveDNS data are in the form of a feature vector of domain names the IP addresses were translated to in the time of their involvement in malicious activities. The list of files goes as follow: dataset.idea.zip - compressed dataset.idea file with the alerts in IDEA format, one alert per line, Aux_1A_Geolocation-csv - CSV file with geolocation information, Aux_1B_GIS_data.zip - compressed archive of spatial data for use with a geographical information system ArcGIS, Aux_2_Passive_DNS - CSV file with characteristics of DNS records for the IP addresses in the data obtained via PassiveDNS system, Aux_3_Enrichment - compressed archive of various other enrichments of IP addresses, splitted per days, see README in the archive.
DOI: 10.15468/dl.yyeh2d
title: Occurrence Download

description: A dataset containing 3414 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Potamotrygonidae",
 "HasCoordinate is true",
 "BasisOfRecord is Specimen",
 "Continent is South America"
 ]
}

 The dataset includes 3414 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009208-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/cc14h8qm
title: CCDC 1057370: Experimental Crystal Structure Determination

description: Related Article: Claudia Wilfer, Patricia Liebhäuser, Alexander Hoffmann, Hannes Erdmann, Oleg Grossmann, Leander Runtsch, Eva Paffenholz, Rahel Schepper, Regina Dick, Matthias Bauer, Maximilian Dürr, Ivana Ivanović-Burmazović, Sonja Herres-Pawlis|2015|Chem.-Eur.J.|21|17639|doi:10.1002/chem.201501685
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc14h8tq
title: CCDC 1057373: Experimental Crystal Structure Determination

description: Related Article: Haijuan Du, Chaohai Wang, Yao Li, Yunyin Niu, Hongwei Hou|2015|RSC Advances|5|74065|doi:10.1039/C5RA13007G
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc14h8rn
title: CCDC 1057371: Experimental Crystal Structure Determination

description: Related Article: Claudia Wilfer, Patricia Liebhäuser, Alexander Hoffmann, Hannes Erdmann, Oleg Grossmann, Leander Runtsch, Eva Paffenholz, Rahel Schepper, Regina Dick, Matthias Bauer, Maximilian Dürr, Ivana Ivanović-Burmazović, Sonja Herres-Pawlis|2015|Chem.-Eur.J.|21|17639|doi:10.1002/chem.201501685
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc14h8vr
title: CCDC 1057374: Experimental Crystal Structure Determination

description: Related Article: Haijuan Du, Chaohai Wang, Yao Li, Yunyin Niu, Hongwei Hou|2015|RSC Advances|5|74065|doi:10.1039/C5RA13007G
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc14h8sp
title: CCDC 1057372: Experimental Crystal Structure Determination

description: Related Article: Claudia Wilfer, Patricia Liebhäuser, Alexander Hoffmann, Hannes Erdmann, Oleg Grossmann, Leander Runtsch, Eva Paffenholz, Rahel Schepper, Regina Dick, Matthias Bauer, Maximilian Dürr, Ivana Ivanović-Burmazović, Sonja Herres-Pawlis|2015|Chem.-Eur.J.|21|17639|doi:10.1002/chem.201501685
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc14h8ws
title: CCDC 1057375: Experimental Crystal Structure Determination

description: Related Article: Haijuan Du, Chaohai Wang, Yao Li, Yunyin Niu, Hongwei Hou|2015|RSC Advances|5|74065|doi:10.1039/C5RA13007G
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc137gzs
title: CCDC 1020085: Experimental Crystal Structure Determination

description: Related Article: Gregory D. Kortman ,  Meghan J. Orr ,  Kami L. Hull|2015|Organometallics|34|1013|doi:10.1021/om5008727
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc14h8xt
title: CCDC 1057376: Experimental Crystal Structure Determination

description: Related Article: Haijuan Du, Chaohai Wang, Yao Li, Yunyin Niu, Hongwei Hou|2015|RSC Advances|5|74065|doi:10.1039/C5RA13007G
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc12rb7d
title: CCDC 1005523: Experimental Crystal Structure Determination

description: Related Article: Qianqian Guo, Carina Merkens, Runze Si, Ulli Englert|2015|CrystEngComm|17|4383|doi:10.1039/C5CE00043B
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc13zb0f
title: CCDC 1042034: Experimental Crystal Structure Determination

description: Related Article: Michihiro Nishikawa, Yuri Wakita, Tatsuya Nishi, Takumi Miura, Taro Tsubomura|2015|Dalton Trans.|44|9170|doi:10.1039/C5DT00199D
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc11fzwb
title: CCDC 966762: Experimental Crystal Structure Determination

description: Related Article: Yafang Tan, Xiaohui Sun, Fuyue Dong, Haiyan Tian, Renwang Jiang|2015|Chin.J.Chem.|33|1084|doi:10.1002/cjoc.201500276
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.