cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2gfn4q
title: CCDC 2277233: Experimental Crystal Structure Determination

description: Related Article: Ling-Qi Du, Zhao-Xu Chen, Qiao-Chang Wei, Zhi-Lin Chen, Yan Yang|2023|Inorg.Chem.Commun.|156|111238|doi:10.1016/j.inoche.2023.111238
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.cc2gp9t9
title: CCDC 2284601: Experimental Crystal Structure Determination

description: Related Article: Sara González, Dario Del Carratore, Ricardo J. Maza, Elena Fernández|2023|Tetrahedron Chem|8|100045|doi:10.1016/j.tchem.2023.100045
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: 10.21227/zhk5-td84
title: Source Characterisation

description: Quantum key distribution (QKD) theoretically offers unconditional security. Unfortunately, the gap between theory and practice threatens side-channel attacks on practical QKD systems. Many well-known QKD protocols use weak coherent laser pulses to encode the quantum information. These sources differ from ideal single photon sources and follow Poisson statistics. Many protocols, such as decoy state and coincidence detection protocols, rely on monitoring the photon statistics to detect any information leakage. The accurate measurement and characterization of photon statistics enable the detection of adversarial attacks and the estimation of secure key rates, strengthening the overall security of the QKD system. We have rigorously characterized our source to estimate the mean photon number employing multiple detectors for comparison against measurements made with a single detector. Furthermore, we have also studied intensity fluctuations to help identify and mitigate any potential information leakage due to state preparation flaws. We aim to bridge the gap between theory and practice to achieve information-theoretic security.
DOI: 10.5281/zenodo.8325615
title: CPCB data

description: Test upload.
DOI: 10.5281/zenodo.8325614
title: CPCB data

description: Test upload.
DOI: 10.17632/9755pyhckk.1
title: Source data

description: Rational design of loop dynamics for a barrel-shaped enzyme by introducing disulfide bonds——Source data
DOI: 10.5066/p9ma0lzg
title: Biocrust cover, vegetation, and climate data from a protected grassland within Canyonlands National Park, Utah (ver. 2.0, Sept. 2023)

description: These tabular data were compiled for/to monitor vegetation and biocrust cover in a never grazed grassland located in Canyonlands National Park. An objective, or objectives, of our study was to document potential changes in biocrust and vegetation cover and species composition as related to changes in land use and climate change. These data represent a timeseries of long-term vegetation and biocrust monitoring plots, dating from 1965 to 2021. These data were collected at/in Virginia Park, Needles District of Canyonlands National Park, Utah. These data were collected by the U.S. Geological Survey, Southwest Biological Research Center in coordination with the US National Park Service. Data were collected via field observations twice annually, once in the Spring (April-May) and once in fall (Sept.) starting in 1996. A weather station was established in 1998 which recorded hourly temperature and precipitation measurements on a portable data storage module which was switched out and downloaded approximately every 3 months. These data can be used to monitor long term trends and changes in vegetation in a rare, protected and never grazed grassland on the Colorado Plateau, and help with monitoring trends in similar dryland ecosystems.
DOI: 10.17632/wj9b7sp8tx.1
title: To remember or not to remember: EEG dataset

description: Alpha refers to TFR-data in a range from 8 to 12 Hz
Theta refers to TFR-data in a range from 4 to 7 Hz
ERP_Onset  refer to ERP (P300, LPP) during the Onset of the Stimuli
ERP_Offset refers to ERP (P300) during the Offset of the Stimuli
DOI: 10.17632/wj9b7sp8tx.2
title: To remember or not to remember: EEG dataset

description: Alpha refers to TFR-data in a range from 8 to 12 Hz
Theta refers to TFR-data in a range from 4 to 7 Hz
ERP_Onset  refer to ERP (P300, LPP) during the Onset of the Stimuli
ERP_Offset refers to ERP (P300) during the Offset of the Stimuli
DOI: 10.17632/2tyd7n3khs.1
title: Supplementary Table. Characteristics of AD-related message threads* (N= 408 threads).

description: AD, atopic dermatitis; IQR, interquartile range
* AD-related message threads contain ≥1 message in content categories of: AD treatment access, AD treatment use, AD symptoms, logistics, results.
DOI: 10.57745/hthrxv
title: PGD_IEPL_V1_miseenforme_230830.pdf

description: :unav
DOI: 10.17632/w34ctjrnwt.1
title: Original data—Jinxin Oral Liquid mitigates respiratory syncytial virus-induced lung apoptosis by regulating AMPK-mediated lipid metabolism in mice

description: Original data—Jinxin Oral Liquid mitigates respiratory syncytial virus-induced lung apoptosis by regulating AMPK-mediated lipid metabolism in mice
DOI: 10.17632/dn2d4m6hgh.1
title: Quality Control Assessment Data

description: The data contains results that were gotten from a quality control assessment carried out at some hospitals in Kaduna Metropolis, Kaduna State, Nigeria. The data contains tables showing values and information of personnel from each facilities, specifications of the x-ray machines at the Facilities, Radiation protection measures carried out, radiation dose levels, leakage radiation test, half value layer test, beam alignment tests, peak tube voltage test, mA Linearity test, and the entrance skin dose (ESD).
DOI: 10.17632/bms88fv7zz.1
title: Provincial crop yield and meteorological data

description: The data contain Chinese provincial-level rice, wheat, maize, and cotton yield data from 1961-2017 compiled from "Chinese Agricultural Statistics (1949-2019)" and monthly meteorological data from 1961-2017 at the provincial level in China obtained statistically from meteorological station data.
DOI: 10.17632/cw7mnhyz47.1
title: Q method decentralized sanitation

description: Raw data used in the Q method aplication. Perspectives on decentralized sanitation in Salta
DOI: 10.17632/8cp96syc42.1
title: Supplemental table 1

description: Diagnosis and procedure codes used to identify cases of basal cell carcinoma, procedure codes used to categorize repairs, and procedure codes used to identify emergency department visits
DOI: 10.17632/p85m8xcjsg.1
title: AP-MS of alpha synuclein interacting proteins

description: AP-MS of hPSCs harboring either A53T or E46K mutations differentiated for 60 days.  Affinity capture with mouse anti synuclein, BD Cat# 610787 or isotype control. Homosapian samples:NCBITaxon:9606	Captured on Orbitrap Fusion Lumos (Thermo Scientific instrument model)	MS:1002732
DOI: 10.17632/bdy4m9r9xg.1
title: Doktor nöbet cetveli çizelgeleme problemi için ağırlıklı hedef programlama tabanlı genetik algoritma

description: The roster of the current situation and the roster of the proposed solution
(Mevcut durumun nöbet cetveli çizelgesi ve önerilen çözümün nöbet cetveli çizelgesi)
DOI: 10.17632/d6cf479msc.1
title: COVID-19 inpatient mortality in Brazil from 2020 to 2022

description: These data, and the SAS program developed by Margareth Crisóstomo Portela, were employed in the analyses presented in the paper "COVID-19 inpatient mortality in Brazil from 2020 to 2022: a cross-sectional overview study based on secondary data". 
The data were obtained form public sites of the Brazilian Ministry of Health and the Brazilian Institute of Geography and Statistics (IBGE). The main data source in the study is the SIVEP-Gripe, which comprises prospectively collected data on severe acute respiratory illness records. The SIVEP-Gripe data were accessed on the website https://opendatasus.saude.gov.br. The data for 2020 were downloaded on May 16, 2022, while the data for 2021 and 2022 were downloaded on January 24, 2023. 
The National Record of Health Establishments (CNES) provides comprehensive information about the healthcare units. The file "hospitais_SUS" was generated from the SUS Hospitalization Information System (SIH-SUS) to identify hospitals that had COVID-19 hospitalizations covered by the SUS (https://datasus.saude.gov.br/transferencia-de-arquivos/). The municipalities' IDH data came from IBGE (https://cidades.ibge.gov.br).
DOI: 10.17632/d6cf479msc.2
title: COVID-19 inpatient mortality in Brazil from 2020 to 2022

description: These data, and the SAS program developed by Margareth Crisóstomo Portela, were employed in the analyses presented in the paper "COVID-19 inpatient mortality in Brazil from 2020 to 2022: a cross-sectional overview study based on secondary data". 
The data were obtained form public sites of the Brazilian Ministry of Health and the Brazilian Institute of Geography and Statistics (IBGE). The main data source in the study is the SIVEP-Gripe, which comprises prospectively collected data on severe acute respiratory illness records. The SIVEP-Gripe data were accessed on the website https://opendatasus.saude.gov.br. The data for 2020 were downloaded on May 16, 2022, while the data for 2021 and 2022 were downloaded on January 24, 2023. 
The National Record of Health Establishments (CNES) provides comprehensive information about the healthcare units. The file "hospitais_SUS" was generated from the SUS Hospitalization Information System (SIH-SUS) to identify hospitals that had COVID-19 hospitalizations covered by the SUS (https://datasus.saude.gov.br/transferencia-de-arquivos/). The municipalities' IDH data came from IBGE (https://cidades.ibge.gov.br).
DOI: 10.17632/d6cf479msc.3
title: COVID-19 inpatient mortality in Brazil from 2020 to 2022

description: These data, and the SAS program developed by Margareth Crisóstomo Portela, were employed in the analyses presented in the paper "COVID-19 inpatient mortality in Brazil from 2020 to 2022: a cross-sectional overview study based on secondary data". 
The data were obtained form public sites of the Brazilian Ministry of Health and the Brazilian Institute of Geography and Statistics (IBGE). The main data source in the study is the SIVEP-Gripe, which comprises prospectively collected data on severe acute respiratory illness records. The SIVEP-Gripe data were accessed on the website https://opendatasus.saude.gov.br. The data for 2020 were downloaded on May 16, 2022, while the data for 2021 and 2022 were downloaded on January 24, 2023. 
The National Record of Health Establishments (CNES) provides comprehensive information about the healthcare units. The file "hospitais_SUS" was generated from the SUS Hospitalization Information System (SIH-SUS) to identify hospitals that had COVID-19 hospitalizations covered by the SUS (https://datasus.saude.gov.br/transferencia-de-arquivos/). The municipalities' IDH data came from IBGE (https://cidades.ibge.gov.br).
DOI: 10.17632/3t6479xfj5.1
title: Survey Data on the Correlates of Substance Use among IDPs in Maiduguri, Nigeria

description: Background: Internally displaced persons (IDPs) are frequently subjected to traumatic events, making them vulnerable to using substances. This study explores predictors and types of substances used by IDPs, the prevalence of substance dependence, and reasons for substance use.
Methods: Cross-sectional survey data were obtained from 520 IDPs living in camps located in Borno State, Nigeria. The Drug Use Disorders Identification Test (DUDIT) was adapted and administered to the participants. IBM SPSS was used to conduct univariate and multivariate linear regression analyses.
Results: More than half (66.2%, n = 344) of the survey participants used at least one substance, while a third of them (31.2%, n = 162) used more than one substance. About one in ten respondents met the instrument cutoff for dependence. The most popular substance used was Kolanut (46.5%, n = 242). 
Popular reasons for substance use were the availability of substances, influence from others, and having a disease condition. Education, marital status, employment, and the number of substances used were significantly associated with substance dependence.
Conclusions: A high prevalence of substance use was found among the IDPs. The study highlights the need for intervention in the substance use problem affecting this vulnerable population
DOI: 10.17632/zxkczgkphx.1
title: small molecule bleomycin conjugate targeting miR-372

description: This is a supplemental dataset for our manuscript under review. Please refer to our manuscript, once published, for the details explaining the dataset.
DOI: 10.17632/m59zdjpm9h.1
title: Dual credit assignment processes underlie dopamine signals in a complex spatial environment. Krausz et al

description: This dataset was collected to test how expectations of future reward are updated through experience. By measuring nucleus accumbens dopamine (dLight fiber photometry) while rats foraged for reward in a complex decision-making task, we found that dopamine scaled with the values of maze locations. We then identified two distinct algorithms used to update these place values: progressive propagation over space, and inference using maze knowledge.

We are sharing four tabular datasets from our photometry recordings. 

The first, “photLevelDf,” is a dataframe where each row consists of a photometry measurement sampled at 250Hz (processed using isosbestic correction and z-scoring) along with the associated relevant behavioral and task variables (i.e., the rat’s location, speed, etc.). 

“hexLevelDf” is a dataframe where each row corresponds to the photometry signal along with relevant task variables binned by the occupancy of each distinct maze location (“hex”) on each run through the maze. 

“sessionTable” lists the experimental subject and recording information associated with each recording session, whose identifiers are identical to those in the other shared dataframes.

Finally, “trialLevelDf” contains a table where each row consists of aggregated information about each individual trial (i.e., which port the rat entered, whether it was leftward or rightward choice from the prior port, whether the rat received reward, etc.) to help with port-level choice analyses. 

Further information about each dataset, along with code to help analyze the data, can be found at https://github.com/Berke-lab/DA_maze
DOI: 10.17632/d5k3hh7tvn.1
title: Possible “silver-spoon” effect on adult terrestrial jumping in the mangrove rivulus fish (Kryptolebias marmoratus) (Cyprinodontiformes: Rivulidae) 

description: Jumping and egg density data for mangrove rivulus fish.
DOI: 10.17632/t54vpk3mkg.1
title: Early weaning of kits allows better reproductive responses in female rabbits

description: Rabbit farming is worldwide one of the most practical, fastest and cheapest ways to obtain very high-quality meat, considerably improving family nutrition. Leading researchers (Xiccato et al., 2004) have proposed early weaning of litters as a management method to reduce body energy losses in the doe rabbit; remembering that, among the rabbit management tasks, weaning is a key point. Since this period could be considered essential to get the best performance from the does.
The aim of this research was to analyze the effects of early weaning of kits with the use of milk replacer, on the productive response of weaned animals and the post-weaning recovery period of does.
To carry out the experiment, three treatments were used (kits weaned at 32, 18 and 22 days, treatment 1, 2 and 3 respectively) with five repetitions each, where each repetition had an average of six kits housed with their respective mothers; considering each litter as an experimental unit. The feeding of the animals included Mulberry grass (Morus alba), commercial concentrated food and substitute milk. The analysis of the productive and reproductive data was carried out through an analysis of variance and the economic parameters through an analysis of Marginal Cost. No differences (P > 0.05) were observed between the productive and reproductive parameters (weight gain, prolificacy, mortality rate, postpartum heat and calving interval).
DOI: 10.17632/4j983xhmhk.1
title: Diagnostic Analysis of Cognitive Sexual Schemas, Sexual Beliefs, and Guilt Sensations in Women Afflicted with Primary Vaginismus and Healthy Married Women, Considering the Mediating Role of Marital Satisfaction

description: This study aims to comparatively analyze cognitive sexual schemas, sexual beliefs, and perceptions of guilt within the context of vaginismus, a sexual disorder that introduces complexities to marital relationships. Using a descriptive cross-sectional approach, the research examines a sample of 206 married women from Tehran, comprising 63 women diagnosed with vaginismus and 143 healthy women. The research instruments encompass the Questionnaire of Cognitive Schema Activation in Unsuccessful Sexual Situations, Sexual Dysfunctional Beliefs Questionnaire, Mosher Sexual Guilt Questionnaire, Enrich Marital Satisfaction Questionnaire, and Female Sexual Function Index. Data analysis, conducted using SPSS-26 software, reveals noteworthy differences between the two groups in terms of cognitive sexual schemas, beliefs, and guilt perceptions. Of particular importance, marital satisfaction emerges as a mediating factor that mitigates substantial discrepancies between the groups. Consequently, the study underscores the imperative of comprehensive diagnostic assessments and recommends tailored interventions to effectively address vaginismus and its impact on marital dynamics.
DOI: 10.5517/ccdc.csd.cc2c3l8c
title: CCDC 2178192: Experimental Crystal Structure Determination

description: Related Article: Wei Chuen Chan, Min Phin Ng, Chee Wei Ang, Kae Shin Sim, Kong Wai Tan|2023|Inorg.Chim.Acta|557|121703|doi:10.1016/j.ica.2023.121703
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.cc2dgmgz
title: CCDC 2218591: Experimental Crystal Structure Determination

description: Related Article: Mohammed Dahmani, Abderrahim Titi, Abdelkader Et-Touhami, Abderrahmane Yahyi, Rachid Touzani, Mohamed Siaj, Abdelkader Zarrouk, Abeer A. AlObaid, Mohamed Saadi, Lahcen El Ammari, Ismail Warad|2023|Inorg.Chim.Acta|557|121695|doi:10.1016/j.ica.2023.121695
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: 10.5281/zenodo.8248829
title: "Revisiting evolutionary trajectories and the organization of the Pleolipoviridae family" Extended material

description: Extended data of "Revisiting evolutionary trajectories and the organization of the Pleolipoviridae family", including viral genomes, protein prediction, eggNOG functional annotation and selected structural predictions.
DOI: 10.5281/zenodo.8248828
title: "Revisiting evolutionary trajectories and the organization of the Pleolipoviridae family" Extended material

description: Extended data of "Revisiting evolutionary trajectories and the organization of the Pleolipoviridae family", including viral genomes, protein prediction, eggNOG functional annotation and selected structural predictions.
DOI: 10.6084/m9.figshare.24088284.v5
title: Raw bathymetric data from Sarmiento de Gamboa Antarctic expedition (2019)

description: The purpose of this study was to conduct a bathymetric survey in the Bransfield Strait as part of the BRAVOSEIS Project, specifically focusing on data collected during the Sarmiento de Gamboa Antarctic expedition in 2019.
DOI: 10.17632/tvvtbcvy5k.1
title: Supplemental Information - Characterization of the extracellular vesicles, ultrastructural morphology, and intercellular interactions of multiple clinical isolates of the brain-eating amoeba, Naegleria fowleri

description: This data set is provided for the manuscript: "Characterization of the extracellular vesicles, ultrastructural morphology, and intercellular interactions of multiple clinical isolates of the brain-eating amoeba, Naegleria fowleri" submitted to Scientific Reports and includes: scanning electron microscopy measurements and nanoparticle tracking analysis data, unedited SDS-PAGE gel image, ImageStream flow cytometry data, RealTime-Glo and CellTiter-Glo data, and R18 fusion data.
DOI: 10.17632/tvvtbcvy5k.2
title: Supplemental Information - Characterization of the extracellular vesicles, ultrastructural morphology, and intercellular interactions of multiple clinical isolates of the brain-eating amoeba, Naegleria fowleri

description: This data set is provided for the manuscript: "Characterization of the extracellular vesicles, ultrastructural morphology, and intercellular interactions of multiple clinical isolates of the brain-eating amoeba, Naegleria fowleri" submitted to Frontiers in Microbiology and includes: scanning electron microscopy measurements and nanoparticle tracking analysis data, unedited SDS-PAGE gel image, ImageStream flow cytometry data, RealTime-Glo and CellTiter-Glo data, and R18 fusion data.
DOI: 10.17632/bd25tf499w.1
title: A data set on the application of artificial intelligence technology in gastroenterology

description: Artificial intelligence (AI) has been widely used in the field of medicine. Thus, it can potentially be used is means that it could be utilized in the examination and diagnosis of gastrointestinal diseases. Herein, we summarized past research on AI and reviewed the challenges faced and future development opportunities associated with the application of AI in gastrointestinal diseases.Therefore, herein we collected 17,758 data on AI techniques to identify and diagnose 13 common digestive disorders.
DOI: 10.17632/bd25tf499w.2
title: A data set on the application of artificial intelligence technology in gastroenterology

description: Artificial intelligence (AI) has been widely used in the field of medicine. Thus, it can potentially be used is means that it could be utilized in the examination and diagnosis of gastrointestinal diseases. Herein, we summarized past research on AI and reviewed the challenges faced and future development opportunities associated with the application of AI in gastrointestinal diseases.Therefore, herein we collected 17,758 data on AI techniques to identify and diagnose 13 common digestive disorders.
DOI: 10.17632/bd25tf499w.3
title: A data set regarding the application of artificial intelligence technology in gastroenterology

description: Artificial intelligence (AI) has been widely used in the field of medicine. Therefore, it can potentially be used for the inspection and diagnosis of gastrointestinal diseases. Herein, we summarized past research on AI and reviewed the challenges faced and future development opportunities associated with the application of AI in gastrointestinal diseases.Therefore, we here collected 17,758 data on AI techniques to identify and diagnose 13 common digestive disorders.