cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/t6pmbvkvtd.1
title: The effects of implantable collamer lens ICL implantation in high myopia patients’ mental health

description: A total of 43 patients (n=43) underwent Visian ICL V4 implantation surgery at the Second People's Hospital of Foshan between 2021 and 2022. All patients underwent mental state assessments using the Self-Rating Anxiety Scale (SAS) and Self-Rating Depression Scale (SDS) before surgery, one week after surgery, and one month after surgery. Additionally, ophthalmology-related examinations were conducted after surgery. ICL_survey_results.xls: patients' responses to each question. ICL_eye_examination.xlsx: eye examination of patients after surgery survey_scoring_method.docs: how SDS and SAS score are calculated survey_questions.docs: questions have been asked to patients to collect their SDS, and SAS scores to evaluate their mental health
DOI: 10.17632/t6pmbvkvtd.2
title: The effects of implantable collamer lens ICL implantation in high myopia patients’ mental health

description: A total of 43 patients (n=43) underwent Visian ICL V4 implantation surgery at the Second People's Hospital of Foshan between 2021 and 2022. All patients underwent mental state assessments using the Self-Rating Anxiety Scale (SAS) and Self-Rating Depression Scale (SDS) before surgery, one week after surgery, and one month after surgery. Additionally, ophthalmology-related examinations were conducted after surgery.
ICL_survey_results.xls: patients' responses to each question.
ICL_eye_examination.xlsx: eye examination of patients after surgery
survey_scoring_method.docs: how SDS and SAS score are calculated
survey_questions.docs: questions have been asked to patients to collect their SDS, and SAS scores to evaluate their mental health
DOI: 10.17632/ypswzv57bp.1
title: Communications Biology SD data

description: Numerical source data for graphs and charts
DOI: 10.6084/m9.figshare.24864525
title: <b>Health promoting lifestyle and its determinants among religious officials in Turkey</b>

description: This cross-sectional study was conducted on 414 religious officials in the provinces of the Lakes Region of Turkey. Health-promoting lifestyle profile II assessment (HPLP-II) and demographic characteristics form was used to assess health behaviors and participants’ profiles.
DOI: 10.6084/m9.figshare.24864525.v1
title: <b>Health promoting lifestyle and its determinants among religious officials in Turkey</b>

description: This cross-sectional study was conducted on 414 religious officials in the provinces of the Lakes Region of Turkey. Health-promoting lifestyle profile II assessment (HPLP-II) and demographic characteristics form was used to assess health behaviors and participants’ profiles.
DOI: 10.17632/6rn72xyv7f.1
title: Prediction of energy consumption in Mexico by integrating environmental, economic, and energy data using artificial neural network models

description: Preventing energy consumption in emergencies such as the last COVID-19 pandemic can ensure the continued operation of hospitals and food supply centres. In addition, considering the relationship of energy consumption with various factors generates points of attention. This work is focused on presenting the prediction of energy consumption in Mexico using data related to environmental, economic and energy aspects recorded from 1965 to 2021. The input variables were: year, carbon dioxide emissions, Gross Domestic Product per capita, number of power plants, increase in temperature in the world and oil production. The models of Artificial Neural Networks (ANN’s) based on a single layer and hidden multilayer obtained a good correlation between the real values and the simulated ones with a coefficient of determination (R2) of 0.9999 and Mean Absolute Percentage Error (MAPE) of 0.37%. For prediction, the Recurrent Neural Network-Long Short-Term Memory (RNN-LSTM) model generated a correlation with an R2 of 0.8910 between the real and forecast data. The data demonstrated that ANN-based models are a tool capable of predicting energy consumption to support decision-making on the distribution and consumption of energy resources in the face of future emergencies.
DOI: 10.17632/gg6swrj5mz.1
title: Evaluation of the essential oil components in modified Gramineae plants and a comparative study of their whitening and antioxidant activities

description: The data suggests that post-modification, the chemical composition of essential oils derived from Gramineae plants undergoes alteration, resulting in an augmentation of their whitening and antioxidant properties.
DOI: 10.17632/jykwv4f2xc.1
title: Data on Integrating fertility inputs enhance soil microbial biomass, nitrogen mineralization, and concentration in maize crops in the nitisols of Upper Eastern Kenya

description: Integrated soil fertility inputs are pivotal in managing soil microbial biomass nutrients and nitrogen mineralization in croplands. The dataset shows the influence of various integrated soil fertility inputs on soil microbial carbon (MBC), microbial nitrogen (MBN) and microbial phosphorus (MBP), nitrogen mineralization, and nitrogen use efficiency indicators, in Humic Nitisols of Upper Eastern, Kenya. The study was an on-station experiment laid-out in a randomized complete block design with four replications. Conventional (CT) and minimum (MT) tillage methods and soil fertility inputs were integrated and considered as combined treatments which were then replicated four times. In addition to CT (control) and MT without fertility inputs, sole inorganic fertilizer (F), combined maize residue (Cr) with; inorganic fertilizer (CrF), goat manure and inorganic fertilizer (CrGF), Tithonia diversifolia and rock phosphate (CrTiR), goat manure and Dolichos lablab as a legume intercrop (CrGL), and Tithonia diversifolia and goat manure (CrTiG) were executed in the two tillage systems. Maize (Zea mays L.) H516 variety, grown as a test crop, was planted on plots measuring 6 m x 4.5 m. The data was collected during short and long rains in 2020 (SR20) and 2021 (LR21) seasons. The dataset in this study is quantitative which met the normal distribution assumption thus was a good candidate for the analysis of variance (ANOVA). The data was analyzed using R software and means separated using Tukey at p&lt;0.05. The various combinations of inorganic and organic inputs – conventional tillage + maize residue + goat manure + Dolichos lablab intercrop (CTCrGL); minimum tillage + maize residue + Tithonia diversifolia + goat manure (MTCrTiG); and minimum tillage + maize residue + goat manure + Dolichos lablab (MTCrGL) intercrop – increased microbial C, N, and P by 78%, 48%, and 41%, respectively. The integrated fertility inputs technologies also significantly influenced the mineralization of N. The CTCrGL had higher apparent nitrogen recovery and partial factor productivity, than any other treatment. Also, MTCrGL greatly enhanced apparent nitrogen recovery compared to the control.
DOI: 10.17632/fngbxjwgx2.1
title: Paleomagnetic samples - Plio-Pleistocene volcanics in the northern sector of the Antiñir-Copahue fault system (Neuquén Cordillera, Argentina)

description: Zijderveld diagrams from paleomagnetic samples and interpreted directions, ready to be opened in Remasoft (AGICO) program.

The first number of the name of the Bella Vista (BV) section samples corresponds to the name of the site. For example, sample BV1-1.2 corresponds to site BV1.
In the case of the Río Huaraco section (NH), samples NH1, 2 and 3 correspond to site NH1; NH4, 5 and 6 to site NH2; NH7, 8 and 9 to site NH3; NH10, 11 and 12 to site NH4; NH13, 14 and 15 to site NH5; NH 16 and 17 to site 6; NH18 and 19 to site 7; and NH20 and 21 to site NH 8.

All samples were obtained from Plio-Pleistocene basaltic lavas.
DOI: 10.17632/t4mj454jwy.1
title: Low rate of seroconversion in a retrospective study analyzing QuantiFERON TB-gold testing in psoriasis and hidradenitis suppurativa patients taking biologic therapy at an academic center in New York City

description: Low rate of seroconversion in a retrospective study analyzing QuantiFERON TB-gold testing in psoriasis and hidradenitis suppurativa patients taking biologic therapy at an academic center in New York City
DOI: 10.17632/3gdxnsnmph.1
title: Anti-inflammatory action of Cecropia pachystachya in the treatment of COPD and in silico study of the target enzymes of chronic respiratory diseases 5-LOX and α-1-antitrypsin

description: Cecropia pachystachya Tréc. is used by the ethnic population for the treatment of asthma, hypertension, inflammation, bronchodilator effect. This study aimed to identify the chemical compounds present in the ethanolic extract of the leaves of C. pachystachya and to verify its therapeutic action in the treatment of chronic pulmonary disease. The extract was prepared with 99% ethanol and the compounds were identified by HPLC. The phytochemical compounds were submitted to in silico tests of ADMET prediction and molecular docking with the target enzymes of chronic respiratory diseases (5-LOX and α-1-antitrypsin). The in vivo COPD induction test was carried out in wistar rats, exposed to cigarette smoke to induce inflammation and destruction of alveoli, being treated with ethanolic extract of C. pachystachya leaves and with a combination of beclomethasone dipropionate. By HPLC, the compounds chlorogenic acid (01), catechin (02) and coumaric acid (03) were identified. The ADMET properties were determined for each molecule, and all fall within the parameters of the rule of five and can be classified as drugs. Among the molecular docking calculations, the complexes with catechin showed better interaction energy values with the 5-LOX enzyme and α-1-antitrypsin. The ethanolic extract of C. pachystachya leaves was able to reduce lung inflammation and attenuate the destruction of lung alveoli, showing better results when used alone than when associated with beclomethasone dipropionate. It is evident that C. pachystachya has therapeutic action due to the presence of catechin. These results have scientific relevance and justify further studies to identify the mechanisms of action of this therapeutic activity.
DOI: 10.5281/zenodo.10404194
title: DESCRIPTION OF PATIENTS WITH VITILIGO INVOLVED IN RESEARCH
DOI: 10.5281/zenodo.10404195
title: DESCRIPTION OF PATIENTS WITH VITILIGO INVOLVED IN RESEARCH
DOI: 10.5281/zenodo.10404072
title: The reconstructed surface water area time series (2000-2019) dataset for lakes >1 km2 in China

description: This repository contains the revised version of the supplementary data for the paper: Reconstruction of long-term high-resolution lake variability: Algorithm improvement and applications in China  (https://www.sciencedirect.com/science/article/pii/S0034425723003267?via%3Dihub). 

Specifically, this dataset documents the reconstructed surface water area time series for all studied lakes in China during the period of 2000-2019. In the prior version of the dataset, there was an erroneous assignment of IDs to each lake. This issue has been rectified in the revised version, ensuring that the updated IDs now accurately correspond to the actual GLAKES_ID for each of the GLAKES lake polygons.

For more detailed information of the dataset, please refer to the README file.
DOI: 10.5281/zenodo.10404073
title: The reconstructed surface water area time series (2000-2019) dataset for lakes >1 km2 in China

description: This repository contains the revised version of the supplementary data for the paper: Reconstruction of long-term high-resolution lake variability: Algorithm improvement and applications in China  (https://www.sciencedirect.com/science/article/pii/S0034425723003267?via%3Dihub). 

Specifically, this dataset documents the reconstructed surface water area time series for all studied lakes in China during the period of 2000-2019. In the prior version of the dataset, there was an erroneous assignment of IDs to each lake. This issue has been rectified in the revised version, ensuring that the updated IDs now accurately correspond to the actual GLAKES_ID for each of the GLAKES lake polygons.

For more detailed information of the dataset, please refer to the README file.
DOI: 10.17632/25x46xjyr5.1
title: Python Jupyter Notebook to Perform Automatic Microscopic Image Analysis by Moving Window Local Fourier Transform and Machine Learning

description: Python Jupyter Notebook together with exemplary images to perform automatic microscopic image analysis using moving window local Fourier Transform and Machine Learning data decomposition using Non-Negative Matrix Factorization (NMF). The number of decomposition components is obtained from prior PCA Scree Plot analysis.
DOI: 10.17632/25x46xjyr5.3
title: Python Jupyter Notebook to Perform Automatic Microscopic Image Analysis by Moving Window Local Fourier Transform and Machine Learning

description: Python Jupyter Notebook together with exemplary images to perform automatic microscopic image analysis using moving window local Fourier Transform and Machine Learning data decomposition using Non-Negative Matrix Factorization (NMF). The number of decomposition components is obtained from prior PCA Scree Plot analysis.

fix for new scikit-learn version 1.1 or above (init of NMF changed)
tested with HyperSpy-bundle 2023.05.16
hyperspy &gt;=1.7.5
DOI: 10.5281/zenodo.10404202
title: THE ROLE OF INTESTINAL MICROFLORA AND PROBIOTICS IN THE DEVELOPMENT OF IMMUNITY IN INFANTS
DOI: 10.5281/zenodo.10404203
title: THE ROLE OF INTESTINAL MICROFLORA AND PROBIOTICS IN THE DEVELOPMENT OF IMMUNITY IN INFANTS
DOI: 10.17632/h9yxnkt8nj.1
title: Diver readings from the experimental ground-runoff harvesting Ibiza 2022 

description: Raw data from a ground-runoff haversting experiment in Ibiza. Please see the following manuscript for more details:

Roig-Palomeque et al. (under review) "Ground-runoff harvesting to increase water availability in isolated households of hilly Mediterranean islands: a case study in a micro-catchment of Ibiza (Spain)",  J. Environmental Management

Authors
Inés Roig-Palomeque 1, Daniele Pedretti 2*, Stefan Meier 3
1 Alianza por el Agua de Ibiza y Formentera, 07800, Eivissa (Spain)
2 Dipartimento di Scienze della Terra ‘Ardito Desio’, Università degli Studi di Milano, 20133, Milan (Italy) 
3 Naturaleza y Arte, 07830, Sant Josep de Sa Talaia (Spain) 
* Corresponding author: daniele.pedretti@unimi.it
DOI: 10.17632/h9yxnkt8nj.2
title: Diver readings from the experimental ground-runoff harvesting, Ibiza, 2022

description: Raw data from a ground-runoff haversting experiment in Ibiza. Please see the following manuscript for more details:

Pedretti et al. (2024) "Ground-runoff harvesting to increase water availability in isolated households of hilly Mediterranean islands: a case study in a micro-catchment of Ibiza (Spain)", accepted paper, Water.

Authors
Daniele Pedretti 1*, Inés Roig-Palomeque 2, Stefan Meier 3
1 Dipartimento di Scienze della Terra ‘Ardito Desio’, Università degli Studi di Milano, 20133, Milan (Italy) 
2 Alianza por el Agua de Ibiza y Formentera, 07800, Eivissa (Spain)
3 Naturaleza y Arte, 07830, Sant Josep de Sa Talaia (Spain) 
* Corresponding author: daniele.pedretti@unimi.it
DOI: 10.17632/bjpfmtt55k.1
title: FeynMG: A FeynRules extension for scalar-tensor theories of gravity

description: The ability to represent perturbative expansions of interacting quantum field theories in terms of simple diagrammatic rules has revolutionized calculations in particle physics (and elsewhere). Moreover, these rules are readily automated, a process that has catalyzed the rise of symbolic algebra packages. However, in the case of extended theories of gravity, such as scalar-tensor theories, it is necessary to precondition the Lagrangian to apply this automation or, at the very least, to take advantage of existing software pipelines. We present a Mathematica code FeynMG, which works in conjunction with the well-known package FeynRules, to do just that: FeynMG takes as inputs the FeynRules model file for a non-gravitational theory and a user-supplied gravitational Lagrangian. FeynMG provides functionality that inserts the minimal gravitational couplings of the degrees of freedom specified in the model file, determines the couplings of the additional tensor and scalar degrees of freedom (the metric and the scalar field from the gravitational sector), and preconditions the resulting Lagrangian so that it can be passed to FeynRules, either directly or by outputting an updated FeynRules model file. The Feynman rules can then be determined and output through FeynRules, using existing universal output formats and interfaces to other analysis packages.
DOI: 10.5281/zenodo.10404206
title: ПРОФИЛАКТИКА ПОЧЕЧНОЙ ПАТОЛОГИИ У НОВОРОЖДЕННЫХ ДЕТЕЙ
DOI: 10.5281/zenodo.10404207
title: ПРОФИЛАКТИКА ПОЧЕЧНОЙ ПАТОЛОГИИ У НОВОРОЖДЕННЫХ ДЕТЕЙ
DOI: 10.17632/xf9kb7yfwr.1
title: Pythonic Black-box Electronic Structure Tool (PyBEST). An open-source Python platform for electronic structure calculations at the interface between chemistry and physics

description: Pythonic Black-box Electronic Structure Tool (PyBEST) represents a fully-fledged modern electronic structure software package developed at Nicolaus Copernicus University in Toruń. The package provides an efficient and reliable platform for electronic structure calculations at the interface between chemistry and physics using unique electronic structure methods, analysis tools, and visualization. Examples are the (orbital-optimized) pCCD-based models for ground- and excited-states electronic structure calculations as well as the quantum entanglement analysis framework based on the single-orbital entropy and orbital-pair mutual information. PyBEST is written primarily in the Python programming language with additional parts written in C＋＋, which are interfaced using Pybind11, a lightweight header-only library. By construction, PyBEST is easy to use, to code, and to interface with other software packages. Moreover, its modularity allows us to conveniently host additional Python packages and software libraries in future releases to enhance its performance. The electronic structure methods available in PyBEST are tested for the half-filled 1-D model Hamiltonian. The capability of PyBEST to perform large-scale electronic structure calculations is demonstrated for the model vitamin B_12 compound. The investigated molecule is composed of 190 electrons and 777 orbitals for which an orbital optimization within pCCD and an orbital entanglement and correlation analysis are performed for the first time.
DOI: 10.17632/xf9kb7yfwr.2
title: PyBEST: Improved functionality and enhanced performance

description: We present a methodological update to the Pythonic Black-box Electronic Structure Tool (PyBEST), a fully-fledged modern electronic structure software package. Among other things, these include the extensions to pair Coupled Cluster Doubles (pCCD) open-shell electronic structures via the ionization potential and double ionization potential equation of motion formalism (IP-EOM-pCCD and DIP-EOM-pCCD), tailored Coupled Cluster methods, EOM extensions on top of the linearized Coupled Cluster correction on top of pCCD, the configuration interaction correction on top of pCCD, and the static pCCD-in-DFT embedding. Furthermore, we have increased the performance of PyBEST by optimizing its underlying tensor contraction engine and providing GPU support via the CuPy library.
DOI: 10.5281/zenodo.10404006
title: Distinct Impacts of the Central and Eastern Atlantic Niño on the European Climate

description: Forcing and Output data of Linear Baroclinic Model (LBM).
DOI: 10.17632/7t5g3kdhgt.1
title: Crustal thickening and migration of arc magmatism around the inner hinge of the Mongolian Orocline as a consequence of large-scale bending of a supra-subduction zone

description: This dataset supports the submitted article "Crustal thickening and migration of arc magmatism around the inner hinge of the Mongolian Orocline as a consequence of large-scale bending of a supra-subduction zone". It includes a PDF file and an excel file. A PDF file (Date Set 01) show analytical methods, the detailed description of zircon U-Pb ages of samples, and petrographic descriptions of samples in this paper, as well as supplementary Figures (Figure S1-S6). An excel file (Date Set 02) show analytical results of sample in this paper (Table S1-S4), and contains locations, lithological characteristics and a summary of zircon U-Pb ages of samples (Table S1), zircon U-Pb data of samples (Table S2), whole-rock major and trace elements of samples in this paper (Table S3), and compiled geochemical and age data for igneous rocks of the Hangay Batholith from this paper and literature (Table S4).
DOI: 10.17632/kshjbrvwn7.1
title: Estudio prospectivo: evaluación de la eficacia y longevidad del ácido hialurónico reticulado en relleno de surcos nasolabiales

description: Introducción: la elección de métodos mínimamente invasivos posiciona a los rellenos de ácido hialurónico (AH) como técnica líder de rejuvenecimiento facial. Los rellenos inyectables de AH se han utilizado ampliamente en
el tratamiento clínico de las arrugas faciales. Sin embargo, la información adicional y la evidencia clínica sobre la longevidad del relleno de AH después de la inyección son limitadas.
Objetivos: demostrar la eficacia, seguridad y longevidad de AH reticulado (AHR) 30 mg/ml (Estrianon Hyaluronic Implant 30® Allanmar International Company S.R.L., Argentina) para el relleno de surcos nasolabiales (SNL).
Diseño: ensayo clínico multicéntrico, prospectivo y controlado de 12 meses de duración.
Materiales y métodos: se incluyeron 160 pacientes (132 mujeres y 28 hombres, repartidos en cohortes de 30, 30 y 100 cada una) y se les aplicó un gel inyectable de AHR 30 mg/ml en la corrección de los SNL para evaluar la seguridad, eficacia y longevidad del producto.
Resultados: se observó una corrección relevante de la depresión en los surcos que se mantuvo hasta el final del estudio. El nivel medio de mejora fue clínicamente significativo en el 94% de los casos. La gravedad de los SNL se redujo en aproximadamente 2 puntos hasta el rango de leve o apenas visible.
Conclusiones: Estrianon Hyaluronic Implant 30® demostró ser un relleno seguro, eficaz y de longevidad considerable. A los 12 meses aún se observó corrección significativa y el tratamiento fue bien tolerado por los pacientes.
DOI: 10.17632/7zzpr4d8tz.3
title: Mg-Ca /nHAC composites mediating macrophage polarization to promote bone repair

description: xiaojing, nie (2023), “Study on the Mechanism by which Macrophage Polarization Promotes Bone Repair Mediated by Magnesium-Calcium Alloy/Mineralized Collagen Composite Materials”, Mendeley Data, V1, doi: 10.17632/7zzpr4d8tz.1
DOI: 10.6084/m9.figshare.24862905
title: <b>Widespread cooling of topsoil under nitrogen enrichment and implication for soil carbon flux</b>

description: Here we provide a datasets of soil respiration from field N manipulative experiments studies obtained by integrating literature,including soil temperature,different sites or with diverse vegetation types, N levels, forms or frequencies.
DOI: 10.6084/m9.figshare.24862905.v3
title: <b>Widespread cooling of topsoil under nitrogen enrichment and implication for soil carbon flux</b>

description: Here we provide a datasets of soil respiration from field N manipulative experiments studies obtained by integrating literature,including soil temperature,different sites or with diverse vegetation types, N levels, forms or frequencies.
DOI: 10.6084/m9.figshare.24862905.v2
title: <b>Widespread cooling of topsoil under nitrogen enrichment and implication for soil carbon flux</b>

description: Here we provide a datasets of soil respiration from field N manipulative experiments studies obtained by integrating literature,including soil temperature,different sites or with diverse vegetation types, N levels, forms or frequencies.
DOI: 10.6084/m9.figshare.24623727
title: Expressway_NER

description: This project contains a location reference dataset for Chinese expressways. It also contains a deep learning method for simultaneously recognizing flat, nested and discontinuous location references. The code and data can be used for intelligent applications related to expressway locations.