cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.11652411
title: 2,3:6,7‒Naphthalene bis(dicarboximide) Cyclophane: A Photo‒functional Host for Ambient Delayed Fluorescence in Solution

description: Additional data to report https://doi.org/10.1002/anie.202411102:

Harvesting triplet excitons of heavy atom-free purely organic chromophores under aerated conditions is challenging due to the quenching of long-lived triplet states by molecular oxygen and vibrational dissipation. Herein, we show a supramolecular approach of triplet harvesting via mitigating quenching pathways of a triplet harvester. Specifically, we used a host–guest system based on 2,3:6,7‒naphthalene bis(dicarboximide)-derived cyclophane (NBICy) and carbazole derivative (EtCz). Complexation studies and single-crystal X-ray analysis showed the formation of a rigid host–guest complex (K = ~104 M-1 in CCl4), resulting in triplet-exciton stabilization under aerated conditions via mitigating vibrational interference and oxygen quenching. Photophysical studies elucidate the delayed fluorescence emission from the charge-transfer state (1CT) with a quantum yield (QY) of 6-8% under ambient conditions which increased up to 36 % in an inert atmosphere.
description: Original data to report: https://doi.org/10.1002/anie.202411102
DOI: 10.17632/jmtpwdb6vv.1
title: Bicentric lesion of colon cancer with postoperative fever: a case report

description: The information of patient's whole genome sequencing in the report case.
DOI: 10.17632/bnvf9jdmyb.1
title: Data Set: Dynamic Ambulatory Care Scheduling Problem

description: This repository includes eight test instances, one real instance, and an InputReader Python file used in the "Dynamic ambulatory care scheduling problem." This data set can be used for future comparisons of the optimization algorithms developed for ambulatory care scheduling problems, especially for geographically distributed health centers.
DOI: 10.17632/bnvf9jdmyb.2
title: Data Set: Dynamic Ambulatory Care Scheduling Problem

description: This repository includes ten test instances, one real instance, and an InputReader Python file used in the "Dynamic ambulatory care scheduling problem." This data set can be used for future comparisons of the optimization algorithms developed for ambulatory care scheduling problems, especially for geographically distributed health centers.
DOI: 10.15468/dl.7hcfbx
title: Occurrence Download

description: A dataset containing 4265 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is one of (Brazil, Colombia, Ecuador, Peru, Venezuela (Bolivarian Republic of), Bolivia (Plurinational State of), Paraguay)",
 "DatasetKey is one of (Herbario Nacional Colombiano (COL), Tropicos Specimens Non-MO, Tropicos MO Specimen Data, The New York Botanical Garden Herbarium (NY), Primer censo de plantas leñosas de una Parcela Permanente de 25 hectáreas, ubicada en la Reserva Natural La Planada (Nariño, Colombia), Segundo censo de plantas leñosas de una Parcela Permanente de 25 hectáreas, ubicada en la Reserva Natural La Planada (Nariño, Colombia), RB - Rio de Janeiro Botanical Garden Herbarium Collection, NMNH Extant Specimen Records (USNM, US), NY herbarium - The New York Botanical Garden - Amostras Brasileiras Repatriadas - Herbário Virtual REFLORA, Field Museum of Natural History (Botany) Seed Plant Collection)",
 "GbifRegion is Latin America and the Caribbean",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Caprifoliaceae"
 ]
}

 The dataset includes 4265 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024770-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/wctcv34962.1
title: Dataset_ML-Exoplanet_2024

description: Data set and code from the articles presented in the links.
DOI: 10.17632/wctcv34962.2
title: Dataset_ML-Exoplanet_2024

description: Data set and code from the articles presented in the links.
DOI: 10.17632/wctcv34962.3
title: Dataset_Machine_Learning_Exoplanets_2024

description: The dataset used in this study consists of light curves collected by the Kepler telescope, totaling 5302 light curves, each with approximately 60,000 data points. The data were sourced from NASA's Exoplanet Archive, focusing on Kepler Objects of Interest (KOIs). Relevant columns such as kepid, koi_disposition, koi_period, koi_time0bk, koi_duration, and koi_quarters were selected. The Lightkurve library was utilized to extract the light curves, resulting in SAP (Simple Aperture Photometry) and PDCSAP (Pre-search Data Conditioning Simple Aperture Photometry) fluxes. Due to its precision, PDCSAP flux was used for exoplanet detection. Normalization was performed to standardize the light curves, missing data were addressed through linear interpolation, and outliers were removed using a 2-standard deviation threshold. An extensive experimental evaluation involving 16 algorithms with different parameter settings determined that the LightGBM algorithm demonstrated the best performance, achieving an accuracy of 82.92%. The results highlight the effectiveness of LightGBM for exoplanet classification. For more details, refer to the article: Macedo, B. H. D., & Zalewski, W. (2024). Automated Light Curve Processing for Exoplanet Detection Using Machine Learning Algorithms. Rev. Bras. de Iniciação Científica (RBIC), IFSP Itapetininga, 11, e024021, 1-27. Access the code on Website: https://brunohdmacedo.engineer/project.html. "As a key result of the experimental evaluation, the LightGBM algorithm achieved the best performance with an accuracy rate of 82.92%".
DOI: 10.5281/zenodo.12659399
title: Data for 'Interlayer Interaction induced Plateau Phase Transition in Quantum Anomalous Hall Insulators'

description: The MS data file contains the data for the figures in the manuscript. The SI data file contains the data for the figures in the supplementary materials. The txt files are raw data, and the opj files are the processed Origin data.
DOI: 10.5281/zenodo.12659400
title: Data for 'Interlayer Interaction induced Plateau Phase Transition in Quantum Anomalous Hall Insulators'

description: The MS data file contains the data for the figures in the manuscript. The SI data file contains the data for the figures in the supplementary materials. The txt files are raw data, and the opj files are the processed Origin data.
DOI: 10.17632/3nk4vwxww7.1
title: Proactive Behaviour & Spirituality

description: Affective events theory states that employees are emotionally (positive and negative) affected by work events and situations that occur in the work environment; The focus is on how employees attitudes and behaviors are developed based on the emotions developed. In this process, decision processes based on intentions are examined (Weiss & Cropanzano, 1996). According to Peng and Wu (2021), there are few studies examining work attitudes that will affect proactive behavior based on employees' emotions (Peng & Wu, 2021: 316) (for example, Ashkanasy, 2021; Ohly & Venz, 2021). In this context, the fact that employees do not exhibit sufficient proactive behavior has revealed the need to conduct research on how the dissatisfaction of employers and managers in this regard can be resolved. The deficiencies in the literature and practice, in this study research in "what are the factors that affect employees' proactive behavior", and "how these factor affect the proactive behavior process".
. On the basis of affective events theory, the relationship of a negative emotion (work alienation) with proactive proactive behavior and the mediating role of the "thriving at work" attitude in this relationship were examined. As a positive work attitude, "spirituality at work (meaningfulness of work)", that is, the sense of meaning that employees attribute to their jobs and the positive thoughts they have towards their jobs, were also discussed. In this context, it has focused on the moderated moderation role of “work meaningfulness” (a positive emotion) in the effect of work alienation (a negative emotion) on proactive behavior through thriving at work. 
Within the scope of this research; It was based on (1) the observed and identified overlooked situations in the bussiness life , (2) the gap in the literature. While developing the affective events theory, the initial focus was on the job performance outcome variable. This study aims to develop the theory by focusing on the proactive behavior variable and revealing the relationship between the variables of work alienation, spirituality at work (meaningfulness of work) and thriving at at work. 


Hypothesis 1: There is a negative and significant relationship between work alienation and proactive behavior.
Hypothesis 2: There is a positive and significant relationship between thriving at work (H2a: learning; H2b: vitality) and proactive behavior.
Hypothesis 3: There is a negative and significant relationship between work alienation and thriving at work (H3a: learning; H3b: vitality).
Hypothesis 4: Thriving at work (H4a: learning; H4b: vitality) mediates the relationship between work alienation and proactive behavior.
Hypothesis 5: Meaningfulness of work has a moderated moderation effect on the indirect effect of work alienation on proactive behavior through thriving. It's like; The negative effect of work alienation on proactive behavior will be lower in employees with a high sense of work meaningfulness.
DOI: 10.17632/x76v7s9n8z.1
title: CHARLS

description: charls DATA
DOI: 10.17632/d7sdbdb3yk.1
title: Dataset of 313 metagenome-assemble genomes from streamer hot spring water

description: This data consists of fasta sequences and related information of 313 metagenome-assemble genomes from a hot spring stream in Malaysia. The data can also be accessed via NCBI BioProject PRJEB4990.
DOI: 10.17632/d7sdbdb3yk.2
title: Dataset of 313 metagenome-assemble genomes from streamer hot spring water

description: This data consists of fasta sequences and related information of 313 metagenome-assemble genomes from a hot spring stream in Malaysia. The data can also be accessed via NCBI BioProject PRJEB4990.
DOI: 10.17632/794ggrc6tt.1
title: Epidemiology of herpes simplex virus type 1 in the United States: Systematic review, meta-analyses, and meta-regressions

description: Statistical Analyses Codes
DOI: 10.15468/dl.ersw8f
title: Occurrence Download

description: A dataset containing 461 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((106.12994 -42.73817,159.87006 -42.73817,159.87006 -21.26183,106.12994 -21.26183,106.12994 -42.73817))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Eucalyptus decipiens Endl."
 ]
}

 The dataset includes 461 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024772-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/ncyjrvk2x3.1
title: raw data

description: Adopt the data collected in the article
DOI: 10.34740/kaggle/dsv/8959957
title: Full TMDB Movies Dataset 2024 (1M Movies)
DOI: 10.5281/zenodo.12744423
title: Synth-Yard-MCMOT-1 – A synthetic multi camera multi object dataset in the context of yard logistics

description: The dataset "Synth-Yard-MCMOT-1" is a novel image dataset for multi-camera multi-object tracking (MCMOT). It is the first of its kind to be generated in a virtual environment with the main focus on the tracking of trucks in yard logistics environments. The dataset consists of a total of 12,008 images generated by eight different cameras. The images contain 44,232 bounding boxes and segmentation masks and 52 individual tracks. Additionally, we provide a ninth camera, which is used to generate unified ground-truth information for the whole scene from an orthographic, top-down perspective comparable to a bird’s eye or map-view. The purpose of this dataset is to provide yard management systems with relevant data, which can be employed when aiming to determine the exact position of a truck and specifically identifying which gateway or designated parking spot it is located in. Additionally in this dataset we added the annotations in the COCO-style format as well as the raw image-data.Initial benchmarks for single-camera tracking demonstrate a mean IDF1 score of 0.96 and a mean MOTA score of 0.94, laying the baseline for computing world coordinates via MCMOT.This work is part of the project “Silicon Economy Logistics Ecosystem” which is funded by the German Federal Ministry of Transport and Digital Infrastructure. This research has partly been funded by the Federal Ministry of Education and Research of Germany and the state of North-Rhine Westphalia as part of the Lamarr-Institute  for Machine Learning and Artificial Intelligence. We would like to thank our colleagues Julian Hinxlage, Oleg Belov, Habib Kilic, Nicole Wagner-Hanl, Leona Cerimi, Antonia Ponikarov and Nico Lindemann for their support.

The code to create this dataset can be found here: https://git.openlogisticsfoundation.org/silicon-economy/base/ml-toolbox/synth-data-mcmot
DOI: 10.5281/zenodo.12744424
title: Synth-Yard-MCMOT-1 – A synthetic multi camera multi object dataset in the context of yard logistics

description: The dataset "Synth-Yard-MCMOT-1" is a novel image dataset for multi-camera multi-object tracking (MCMOT). It is the first of its kind to be generated in a virtual environment with the main focus on the tracking of trucks in yard logistics environments. The dataset consists of a total of 12,008 images generated by eight different cameras. The images contain 44,232 bounding boxes and segmentation masks and 52 individual tracks. Additionally, we provide a ninth camera, which is used to generate unified ground-truth information for the whole scene from an orthographic, top-down perspective comparable to a bird’s eye or map-view. The purpose of this dataset is to provide yard management systems with relevant data, which can be employed when aiming to determine the exact position of a truck and specifically identifying which gateway or designated parking spot it is located in. Additionally in this dataset we added the annotations in the COCO-style format as well as the raw image-data.Initial benchmarks for single-camera tracking demonstrate a mean IDF1 score of 0.96 and a mean MOTA score of 0.94, laying the baseline for computing world coordinates via MCMOT.This work is part of the project “Silicon Economy Logistics Ecosystem” which is funded by the German Federal Ministry of Transport and Digital Infrastructure. This research has partly been funded by the Federal Ministry of Education and Research of Germany and the state of North-Rhine Westphalia as part of the Lamarr-Institute  for Machine Learning and Artificial Intelligence. We would like to thank our colleagues Julian Hinxlage, Oleg Belov, Habib Kilic, Nicole Wagner-Hanl, Leona Cerimi, Antonia Ponikarov and Nico Lindemann for their support.

The code to create this dataset can be found here: https://git.openlogisticsfoundation.org/silicon-economy/base/ml-toolbox/synth-data-mcmot
DOI: 10.15468/dl.6ns4eh
title: Occurrence Download

description: A dataset containing 10159 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Eucalyptus delegatensis F.Muell. ex R.T.Baker"
 ]
}

 The dataset includes 10159 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024773-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/nskmtr4h9y.1
title: NOVA_dataset

description: NOVA_dataset_CRMethods
DOI: 10.17632/4xv99r8c7n.1
title: The proofs of some corollaries and some calculations of "The research focuses on the regulatory and punitive effects of regulatory agencies in enhancing the quality of carbon information disclosure in enterprises, based on a dynamic game model"

description: proofs and calculations
DOI: 10.17632/5ycc5gs9rs.1
title: CLOs_KOOL_SHIB_in_AMMs_and_IDP_Noguchi

description: Source data of Figs. 5a, 5b, 6a, 6b, 6c, 6d, 7a, 7b, 8, 9, 12e, 13a, 13b, 13c, 13e, 13d, 13f, 14, 15, S2, S4a, S4b, S4c, S5, S6a, S6b, S6c, S7, S8, and S9.
DOI: 10.17632/5ycc5gs9rs.2
title: CLOs_KOOL_SHIB_in_AMMs_and_IDP_Noguchi

description: Source data of Figs. 5a, b, 6a, b, c, d, 7a, b, 8, 9, 12a, b, c, d, e, f, 13, 14, S2, S4, S5e, S6a, b, c, d, S7a, b, S8a, b, c, d.
DOI: 10.17632/n5mcd9hchp.1
title: Self-care in the person with chronic disease

description: Most aging populations report chronic illnesses, which are usually permanent or recurrent, significantly affect well-being and quality of life, require daily and consistent healthcare management, and last more than three months. Improved health outcomes and reduced healthcare costs are associated with self-care in treating chronic illnesses. This database describes a protocol for a self-care intervention in a person with a chronic disease. The outcome measures will be compared with measures after the intervention in three different chronologic times. The present study is expected to generate significant information about the role of self-care intervention in persons with chronic disease.
DOI: 10.17632/n5mcd9hchp.2
title: Self-care in the person with chronic disease

description: Most aging populations report chronic illnesses, which are usually permanent or recurrent, significantly affect well-being and quality of life, require daily and consistent healthcare management, and last more than three months. Improved health outcomes and reduced healthcare costs are associated with self-care in treating chronic illnesses. This database describes a protocol for a self-care intervention in a person with a chronic disease. The outcome measures will be compared with measures after the intervention in three different chronologic times. The present study is expected to generate significant information about the role of self-care intervention in persons with chronic disease.
DOI: 10.17632/gft65z43hs.3
title: A Comprehensive Central Kurdish Sound Dataset for Robust Speech-to-Text Transformation

description: Exploring the intricacies of Speech Recognition Technology (SRT), our dataset encompasses a wide range of age demographics, spanning from adolescents to individuals in their fifties. This diverse dataset comprises a substantial collection of raw data, amounting to 1,739,089 entries. Within this dataset, a meticulous curation process has yielded a total of 1,683 hours of data, providing a thorough examination of language acquisition patterns across different age cohorts within the Central Kurdish linguistic domain.
DOI: 10.17632/gft65z43hs.1
title: A Comprehensive Central Kurdish Sound Dataset for Robust Speech-to-Text Transformation

description: Exploring the intricacies of Speech Recognition Technology (SRT), our dataset encompasses a wide range of age demographics, spanning from adolescents to individuals in their fifties. This diverse dataset comprises a substantial collection of raw data, amounting to 1,739,089 entries. Within this dataset, a meticulous curation process has yielded a total of 1,683 hours of data, providing a thorough examination of language acquisition patterns across different age cohorts within the Central Kurdish linguistic domain.
DOI: 10.17632/gft65z43hs.2
title: A Comprehensive Central Kurdish Sound Dataset for Robust Speech-to-Text Transformation

description: Exploring the intricacies of Speech Recognition Technology (SRT), our dataset encompasses a wide range of age demographics, spanning from adolescents to individuals in their fifties. This diverse dataset comprises a substantial collection of raw data, amounting to 1,739,089 entries. Within this dataset, a meticulous curation process has yielded a total of 1,683 hours of data, providing a thorough examination of language acquisition patterns across different age cohorts within the Central Kurdish linguistic domain.
DOI: 10.17632/gft65z43hs.4
title: A Comprehensive Central Kurdish Sound Dataset for Robust Speech-to-Text Transformation

description: Exploring the intricacies of Speech Recognition Technology (SRT), our dataset encompasses a wide range of age demographics, spanning from adolescents to individuals in their fifties. This diverse dataset comprises a substantial collection of raw data, amounting to 1,739,089 entries. Within this dataset, a meticulous curation process has yielded a total of 1,683 hours of data, providing a thorough examination of language acquisition patterns across different age cohorts within the Central Kurdish linguistic domain.
DOI: 10.17632/2h8mn438sm.1
title: The Impact of Interactive Teaching Methods on Primary School Students' Engagement and Learning Outcomes in Zambia

description: The Impact of Interactive Teaching Methods on Primary School Students' Engagement and Learning Outcomes in Zambia
DOI: 10.6084/m9.figshare.26304718.v1
title: Datasets by figure

description: These are the source data corresponding to the preprint in the same project.
DOI: 10.17632/6dbk2m795z.1
title: Structural Design and Cryogenic Stability Analysis for Long-wave Infrared Spatial Heterodyne Spectrometers

description: original data of Structural Design and Cryogenic Stability Analysis for Long-wave Infrared Spatial Heterodyne Spectrometers
DOI: 10.17632/tzdyx3ymj6.1
title: DDI Link prediction

description: This data presents a GNN (graph neural network) model that has the ability to predict drug-drug, drug-protein and drug-target interactions. Combining such predictions can be particularly useful in combination therapy, as it allows for the consideration of other off-target interactions of the drugs in question. This problem is addressed using a Link Prediction approach based on the GraphSAGE framework and the topology of proteins and other target molecules related to the drugs for predicting DDI (Drug-Drug Interactions).
DOI: 10.17632/6dbk2m795z.2
title: Structural Design and Cryogenic Stability Analysis Data

description: Original data of Structural Design and Cryogenic Stability Analysis
DOI: 10.17632/hrmf2rvrt2.1
title: Clinical Study of 37 Cases of Orbital Melanoma

description: The clinical data of 37 cases of orbital melanoma patients
DOI: 10.17632/kmhvb4x5d8.1
title: LoveFraud02

description: The data is composed of a corpus of 83 chat conversations, recorded from January2021 until June 2024. The chats are between the author and various fraudsters posing as generals, oilriggers, doctors, engineers, contractors, businessmen and celebrities, who tried to presuade her to send them money. They are examples of realinteractions between fraudsters and their victim. Each file is identified by the scammer's fake name. In the conversation, he appears as a General (Gen), Doctor (Doc), Engineer,(Eng), Oilrigger (Oil), and Ship captain (Capt). He is also identified by a number. There is also one Unicef director (Unicef01), one Tire Company Owner (Tires01), and one Celebrity (Celeb01). In the conversations, PFB is the author who played out the scam with them and posed as a victim.
DOI: 10.17632/9mxk5thwm8.1
title: Simulated behavioural pattern dataset

description: The simulated behavioural pattern dataset file contains a dataset simulated for intervention purposes using Monte-Carlo simulation method.
DOI: 10.17632/dwpkjgf4fw.1
title: Replication data for: What do sexual orientation change efforts change?

description: This data file contains the responses to a 2011 online survey of 125 U.S. males who had undergone sexual orientation change efforts (SOCE).