cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/p4624vngjc
title: Seasonal fluctuations in methane emissions from reservoirs: evidence from the methane metaboliccycle throughout the in situ sediment column profile.

description: Studying the issue of methane emissions from reservoirs, especially elucidating the mechanism of methane greenhouse gas production, revealing the seasonal flux changes of methane production, and providing scientific theories for China's low-carbon economic development strategy of optimizing energy structure and energy conservation and emission reduction. This paper combines geochemical and biological methods, with seasonal thermal stratification as the key entry point, to study the impact of methane production and oxidation processes in reservoir sediments under different thermal stratification conditions on the spatiotemporal dynamic changes of methane from the perspective of biological transformation. The ecological niche distribution of methane production/oxidation functional microorganisms in sedimentary column profiles is finely studied, revealing the ecological adaptation mechanism and production/oxidation efficiency of methane production/oxidation functional groups. Assuming that the methane dissolution in the sediment column profile of the reservoir has obvious seasonal characteristics, the seasonal thermal stratification of the Hongfeng Lake reservoir may be a key factor in the seasonal methane emission differences. The production and emission of methane from in-situ sedimentary columns may be influenced by other electron acceptors. The distribution data of methane dissolution on sedimentary columns indicate that the methane dissolution in the in-situ sedimentary column profile of the reservoir has obvious seasonal characteristics, and the methane metabolism heat zone in summer sediments shifts upward. The results of indoor cultivation experiments further verified the distribution changes of methane heat zones in sediments, proving that seasonal thermal stratification in the Hongfeng Lake reservoir may be a key factor for the seasonal differences in methane emissions. The enrichment of Methanosaeta, a specialized acetic acid trophic methanogenic archaea, was observed in the sedimentary columns during summer and winter. The fractionation coefficient results showed that the methane production pathway in the sedimentary columns of Hongfeng Lake Reservoir was mainly acetic acid trophic, and the methane production trend in this pathway was greater in summer than in winter. There is a very active methane anaerobic oxidation process in the sediment column of Hongfeng Lake reservoir in summer, and the methane production potential of Hongfeng Lake sediment in summer is lower than in winter, while the methane anaerobic oxidation potential in summer is slightly higher than in winter. Functional microbial abundance data indicate that coupled sulfate reduction AOM occurs in in-situ sedimentary columns during summer, and coupled metal iron reduction AOM occurs in shallow and deep layers during summer. In winter sedimentary columns, the iron reducing bacteria Bacillus, a participant in M-AOM, was significantly enriched in the bottom layer.
DOI: 10.17632/pdzr5cdzyf
title: LDHU3_09.0040

description: hypothetical protein - conserved
Leishmania donovani (HU3 strain)
DOI: 10.17632/t595kb8t25
title: Mobile Health Services in NWS

description: Data analysis documents, row data, and a link to unpublished presentation.
DOI: 10.17632/vcst8brtt6
title: LINF_350052000

description: protein kinase
Leishmania infantum (strain JPCM5)
DOI: 10.17632/ycgwgjfz3k
title: Metal-organic frameworks@silk composites as efficient levofloxacin carriers against nosocomial infections and pathogens

description: The deposit contains data for the paper "Metal-organic frameworks@silk composites as efficient levofloxacin carriers against nosocomial infections and pathogens" including SBET, FTIR, microscope, UV-VIS.
DOI: 10.17632/zsxrmvrxb8
title: CO2 adsorption on lizardite basal plane

description: Lizardite, a hydrated magnesium silicate of the serpentine family with the chemical formula Mg3Si2O5(OH)4. The data presented include structures of the most frequently occurring stable surfaces of Lizardite: (001) and (00-1). Models of these surfaces can be used to study comparative adsorption activity and stability of lizardite particle edges. Additionally, the dataset contains models of the most stable configurations of adsorbed CO2 molecules on these surfaces. These models include:
1. CO2 adsorbed parallel to the (001) lizardite surface above a Mg atom
2. CO2 adsorbed perpendicular to the (001) lizardite surface above a hydroxyl group
3. CO2 adsorbed at an angle to the (00-1) lizardite surface between Si atoms
These models allow for a detailed examination of the interaction mechanisms between CO2 and the lizardite surface, which is crucial for understanding mineral carbonation processes and the potential use of lizardite in carbon capture and storage technologies. The presented data can be used for comparative analysis of the adsorption capacity of different lizardite surfaces towards CO2, as well as for studying the influence of surface structure on the stability and orientation of adsorbed molecules.
DOI: 10.17632/8ky976zv3h
title: LDHU3_17.0150

description: Elongation factor 1-alpha; Leishmania donovani (HU3 strain)
DOI: 10.17632/hgpxpdmc95
title: Freeform optics design method for illumination and laser beam shaping enabled by least squares and surface optimization

description: The supplementary information supports and provides the reader with the necessary resources to reproduce the examples presented in the article “Freeform optics design method for illumination and laser beam shaping enabled by least squares and surface optimization”. 

The repository contains the mapping matrices mx, my calculated by following the method described in Section 2. In addition, subsets of these matrices, called ZM1, ZM2 and their corresponding entrance pupil coordinate positions (Px, Py) are provided. They were used to build the merit function.
DOI: 10.17632/ht4s2z5r6s
title: February 2023 Tweets containing Peter Obi

description: This repository contains tweets posted between February 1 to 24, 2023 mentioning the presidential candidate of the Labour Party (LP) in Nigeria.
These are expected to contain discussions concerning him and his presidential ambition.
DOI: 10.17632/rdcdsyfrb3
title: The Impact of Cues on Children's Response in Situations Involving Dangerous Complementary Actions

description: the data used in the study
DOI: 10.17632/ssgfp58jzs
title: LINF_190013600

description: ATG8/AUT7/APG8/PAZ2 | Autophagy-related protein; Leishmania infantum (strain JPCM5)
DOI: 10.17632/vkdycwpdjy
title: Binding and molecular basis of the bat coronavirus RaTG13 virus to ACE2 in humans and species, a study of K. Liu et al

description: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been spreading worldwide and causing a global pandemic. Bat-origin RaTG13 is currently the most phylogenetically related virus. Here, we obtained the complex structure of RaTG13 receptor binding domain (RBD) with human ACE2 (hACE2), and further evaluated the binding of RaTG13 RBD to 24 additional ACE2 orthologs. By substituting residues in RaTG13 RBD with their counterparts in SARS-CoV-2 RBD, we found that residue 501, the major position found in VOCs 501Y.V1/V2/V3, plays a key role in determining the potential host range of RaTG13. We also found that SARS-CoV-2 could induce strong cross-reactive antibodies to RaTG13 and identified a SARS-CoV-2 MAb, CB6, that could cross-neutralize RaTG13 pseudovirus. These results elucidate the receptor binding and host-adaption mechanisms of RaTG13 and emphasize the importance of continuous surveillance of coronaviruses (CoVs) carried by animal reservoirs to prevent another spill-over of CoVs. The following data are the supplementary tables of this study.
DOI: 10.17632/zhmk56xb8c
title: LINF_360057700

description: pre-mRNA splicing factor 46 | PRP46
Leishmania infantum (strain JPCM5)
DOI: 10.17632/4hprwfs7xk
title: Exploring the driver events of eccrine poromas and porocarcinomas: A retrospective, cross-institutional study of 90 cases

description: Additional data to accompany the study entitled: "Exploring the driver events of eccrine poromas and porocarcinomas: A retrospective, cross-institutional study of 90 cases".
DOI: 10.17632/4r22hy4hnr
title: Decarbonization of Urea Production in India and its Impact on Water Withdrawal and Costs: A Cost Optimization Approach

description: This dataset includes the Appendix for the manuscript along with supplementary information (urea plant data, analysis results, python script for plotting graphs)
DOI: 10.17632/k26vrn3mbn
title: Ashwin John

description: This data is related to my research article titled - Economic Policy Uncertainty Persistence and Impact on Exports
DOI: 10.17632/kzc8xsmf7c
title: LINF_050012500

description: protein of unknown function - conserved
Leishmania infantum (strain JPCM5)
DOI: 10.17632/sd7xt2khnc
title: RSEI_Geodetector_data

description: RSEI geodetector data for the Lanxi urban agglomeration for 2000, 2010, and 2019
DOI: 10.17632/twtny5fg68
title: LINF_240028200

description: mt-SAF27
Leishmania infantum (strain JPCM5)
DOI: 10.17632/w4tdfyyrzf
title: Drug Induced Cicatrising Conjunctivitis Supplementary Table 2

description: Summary of the Indian and UK data for 23 subjects (42 eyes) with Drug Induced Cicatrising Conjunctivitis (DICC)
DOI: 10.17632/y64dk5bmv7
title: Data for: A chalcogen-bonded complex (CH3)3N...S=C=O characterised by rotational spectroscopy

description: Fits of rotational spectra to give spectroscopic constants, as executed by using the program PGOPHER
DOI: 10.17632/4g4p9rnrfh
title: LINF_260028200

description: nitrilase
Leishmania infantum (strain JPCM5)
DOI: 10.17632/7d63nm2nrm
title: IMMUNOMETABOLISM COVID-19

description: We accurately quantified 110 metabolites using targeted metabolomics, and 13 cytokines/chemokines in plasma samples of 121 COVID-19 patients with different levels of severity, and 37 non-COVID-19 individuals. Analyses revealed an integrated host-dependent dysregulation of inflammatory cytokines, neutrophil activation chemokines, glycolysis, mitochondrial metabolism, amino acid metabolism, polyamine synthesis, and lipid metabolism typical of sepsis processes distinctive of a mild disease. Dysregulated metabolites and cytokines/chemokines showed differential correlation patterns in mild and critically ill patients, indicating a crosstalk between metabolism and hyperinflammation.
DOI: 10.17632/fc2kscztmv
title: Goosander_vs_Fishermen

description: Marchowski D., Flis A., Gwiazda R., Kavetska K.M., Wysocki D. 2021. The dominant species of piscivorous bird does not adversely affect fishery in the lagoons of the southern Baltic Sea. Data set.
DOI: 10.17632/md2bnfc5cw
title: Problem solving flexibility across early development
DOI: 10.17632/pbfgjn46bp
title: Mount Woods Domain: Ar biotite geochronology dataset

description: - Ar biotite geochronology data - Collected from drill core (DDHARP001) - Used in Tiddy et al. (in review)
DOI: 10.17632/tb9ck6h2h2
title: Three-dimentional  computed tomography mapping of 136 tongue-type calcaneal fracture from a single centre

description: Raw data of Three-dimentional  computed tomography mapping of 136 tongue-type calcaneal fracture from a single centre
DOI: 10.17632/2kdd4m8nvy
title: Correlation between Nutritional Deficit and the Presence of Depressive Symptoms: Comparative study between elderly Brazilians and Portuguese in primary health care

description: Our research showed that the risk of malnutrition or the presence of malnutrition was associated with the presence of depressive symptoms in the sample studied. In the intergroup comparison, among Brazilians, those at risk of malnutrition were more likely to have changes associated with depression, while for the participants from Portugal, the odds ratio tended to show no changes, as the majority were individuals without nutritional or depressive demands. In general, most participants were at risk of malnutrition/malnourishment, which was strongly associated with low income and low education. These findings allowed us to indicate our research hypothesis.
DOI: 10.17632/3684w663kc
title: LINF_310034800

description: hypothetical protein
Leishmania infantum (strain JPCM5)
DOI: 10.17632/484t7hf6m6
title: raw image data for "Resilient anatomy and local plasticity of naïve and stress hematopoiesis "_Figure ED 1-10_part_23

description: Extended Data Figure 10.f saline tibia confetti
DOI: 10.17632/6n9pswt7vk
title: Data for: Prediction and Quantification of Bacterial Biofilm Detachment Using Glazier-Graner-Hogeweg Method Based Model Simulations

description: Biofilm shear-stress simulation code
DOI: 10.17632/6yc9y42zm2
title: Data of manuscript Mo on birnessite

description: Frequency of all cluster used to calculate theoretical isotopic fractionation; Initial coordinate of cluster in AIMD; EXAFS data
DOI: 10.17632/73yxkscwkz
title: LINF_310040000

description: autophagy protein 10 | ATG10
Leishmania infantum (strain JPCM5)
DOI: 10.17632/9bj4hnjtw6
title: Belief in Divine Intervention vs Psychological Resilience

description: import pandas as pd
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt

# Step 1: Simulate data
np.random.seed(42)
n_samples = 120
belief_in_divine = np.random.uniform(1, 10, n_samples)
psychological_resilience = belief_in_divine + np.random.normal(0, 1, n_samples) # Adding noise

# Create DataFrame
experiment_df = pd.DataFrame({'Belief_in_Divine': belief_in_divine,
 'Psychological_Resilience': psychological_resilience})

# Step 2: Visualize the relationship with a scatter plot
plt.figure(figsize=(8, 6))
sns.scatterplot(x='Belief_in_Divine', y='Psychological_Resilience', data=experiment_df)
plt.title('Belief in Divine Intervention vs. Psychological Resilience')
plt.xlabel('Belief in Divine Intervention')
plt.ylabel('Psychological Resilience')

# Step 3: Add regression line equation to the plot
plt.text(3, 15, r'$Y = MX + C$', fontsize=12)

# Step 4: Generate individual plots for each regression line
for i in range(5):
 # Create a new figure for each line
 plt.figure(figsize=(8, 6))
 
 # Randomly select slope and intercept values
 slope = np.random.uniform(0.5, 1.5)
 intercept = np.random.uniform(-1, 2)
 
 # Plot regression line
 x_values = np.linspace(min(belief_in_divine), max(belief_in_divine), 100)
 y_values = slope * x_values + intercept
 plt.plot(x_values, y_values, label=f'Line {i+1}: Y = {slope:.2f}X + {intercept:.2f}')
 
 # Add scatter plot on top
 sns.scatterplot(x='Belief_in_Divine', y='Psychological_Resilience', data=experiment_df)
 
 plt.title(f'Regression Line {i+1}: Belief in Divine Intervention vs. Psychological Resilience')
 plt.xlabel('Belief in Divine Intervention')
 plt.ylabel('Psychological Resilience')
 plt.legend()
 plt.grid(True)
 plt.show()

# Step 5: Correlation Analysis
correlation_coefficient = np.corrcoef(experiment_df['Belief_in_Divine'], experiment_df['Psychological_Resilience'])[0, 1]
print("Correlation Coefficient:", correlation_coefficient)

# Step 6: Perform Linear Regression
X = experiment_df['Belief_in_Divine'].values.reshape(-1, 1)
y = experiment_df['Psychological_Resilience'].values

# Calculate coefficients
X = np.column_stack((np.ones_like(X), X)) # Add intercept term
coefficients = np.linalg.lstsq(X, y, rcond=None)[0]
slope = coefficients[1]
intercept = coefficients[0]
print("Slope (m):", slope)
print("Intercept (c):", intercept)

# Step 7: Plot regression line
plt.figure(figsize=(8, 6))
plt.scatter(experiment_df['Belief_in_Divine'], experiment_df['Psychological_Resilience'])
x_values = experiment_df['Belief_in_Divine'].values # Convert to numpy array
plt.plot(x_values, slope * x_values + intercept, color='red', label='Regression Line')
plt.title('Regression Analysis: Belief in Divine Intervention vs. Psychological Resilience')
plt.xlabel('Belief in Divine Intervention')
plt.ylabel('Psychological Resilience')
plt.legend()
plt.grid(True)
plt.show()
DOI: 10.17632/dvpp48vhxy
title: Protein language models-assisted engineering of a Uracil-N glycosylase variant enables programmable T-to-G and T-to-C base editing

description: Original images of western blot for TSBE3, related to Figure 4E
DOI: 10.17632/hsp9xs2hxc
title: Interactive Immersive Experience: Digital Technologies for Reconstruction and Experiencing Temple of Bel using Crowdsourced Images and 3D Photogrammetric Processes

description: Crowdsourced images collected from social media platforms and the web
3D photogrammetric models for some parts of the destroyed Temple of Bel
DOI: 10.17632/kcdwxprjwb
title: LINF_290006200

description: IQ motif-containing protein; Leishmania infantum (strain JPCM5)
DOI: 10.17632/npr33n3rd9
title: LDHU3_18.1170

description: ARPC1 | Actin-related protein 2/3 complex subunit 1; Leishmania donovani (HU3 strain)
DOI: 10.17632/rkcxrmsx56
title: Supplementary Tables S7-S9

description: Supplementary Table S7 - Porcine plasma proteins submitted for further analysis.
Supplementary Table S8 - Proteins significantly altered in response to the T1 diet.
Supplementary Table S9 - Proteins significantly altered in response to the T2 diet.
DOI: 10.17632/w3gckpk2gz
title: S-OpenBot Academic Autonomous Robot

description: S-OpenBot Academic Autonomous Car is a low-cost systems for research and learning of autonomous robotics and V-SLAM in a practical way, so the main contribution of this proposal is the generation of a system consisting of hardware, software and accompanying documentation to facilitate prototyping in mobile robotics. As a result, a platform has been developed with an approximate cost of US$200 that allows robotics practices at low and high level, as validation examples of the use of control of a mobile robot in differential model configuration using wheel odometry and more complex tasks such as the generation of 3D maps and estimation of trajectories and robot pose using a V-SLAM algorithm such as ORB-SLAM3
DOI: 10.17632/xr2pc9dss7
title: LDHU3_15.0030

description: ATP diphosphohydrolase | NTPD1; Leishmania donovani (HU3 strain)
DOI: 10.17632/y97yw4kfnn
title: LDHU3_16.0130

description: APH domain-containing protein; Leishmania donovani (HU3 strain)
DOI: 10.17632/yxgf7jtnnn
title: LINF_340026700

description: eukaryotic translation initiation factor 2-alpha kinase | eIF2alpha kinase | PERK | EIF2AK2
Leishmania infantum (strain JPCM5)
DOI: 10.17632/5rmrxkybbz
title: Saved RStudio Workspaces

description: Saved RStudio workspaces containing raw simulation results.
DOI: 10.17632/5zvndrhnzk
title: LDHU3_06.0690

description: 60S ribosomal protein L23a
Leishmania donovani (HU3 strain)
DOI: 10.17632/7m2tnpc32v
title: LDHU3_13.1250

description: Protein of unknown function - conserved; Leishmania donovani (HU3 strain)
DOI: 10.17632/bngkd3s5vp
title: LINF_280028900

description: protein of unknown function - conserved
Leishmania infantum (strain JPCM5)
DOI: 10.17632/kxtfyrkmyt
title: Landsat NDVI timeseries data for nTabamhlophe fire exclusion site 2000 - 2023

description: Manuscript Title: Through to bush and back to grass in 84yrs: the effect of reintroducing fire and grazing after 56years of exclusion at nTabamhlophe (White Mountain) Research Station
------------------------------------------------------------
The data was developed to examine the hypothesis that the fire exclusion plot at nTabamhlophe continued to progress towards characteristics of a pure grassy landscape after the year 2000. The goal was to show a downward trajectory in NDVI, indicating a shift from values typical of a wooded landscape—rich in trees and woody vegetation—to values more representative of grassland.

Data diction
---------------------
Year: This column represents the year when the data was recorded. It contains integer values (e.g., 2000).

Month_Number: This column corresponds to the numerical representation of the month (1 for January, 2 for February, and so on). It also contains integer values.

Month_Name: Here, the column contains the full name of the month (e.g., “February” or “March”). The data type for this column is typically a string (text).

Day: This column represents the day of the month when the NDVI (Normalized Difference Vegetation Index) measurement was taken. It contains integer values (e.g., 18).

NDVI: The NDVI is a vegetation index that quantifies the greenness or health of vegetation. It ranges from -1 to 1, with higher values indicating healthier vegetation. The data type for this column is typically a floating-point number (decimal).
DOI: 10.17632/mh9ghpfvx3
title: Data for: E-learning communication skills training for Physiotherapy students; a two phased sequential mixed methods study

description: Qualitative data to support phase 2 of the research.
DOI: 10.17632/nz789jbbxc
title: A regulatory loop involving the cytochrome P450-soluble epoxide hydrolase axis and TGF-beta signaling

description: Uncropped Western blots relating to the role of sEH in macrophages
DOI: 10.17632/szh48gt56s
title: LDHU3_18.1410

description: Protein with ankyrin repeats; Leishmania donovani (HU3 strain)
DOI: 10.17632/vch5d2ksjp
title: The reason behind clapping hands during Kirtan: An Interdisciplinary Exploration

description: This article delves into the therapeutic benefits of clapping hands during Kirtan, a form of devotional service. Drawing on insights from neuroscience, psychology, traditional medicine, and spiritual discourse, we explore the intricate sensorimotor connection underlying haptic perception. Additionally, we elucidate the physiological and psychological effects of clapping, while examining its role in fostering spiritual connection and overall well-being. Through a synthesis of empirical research, ancient wisdom, and cultural practices, we shed light on the profound implications of this age-old tradition in promoting holistic health and spiritual growth.
DOI: 10.17632/yh6mryrb7g
title: Lake Montcortès (Bronze Age to Middle Ages)

description: This file contains the raw counts of palynolomorphs (pollen, fern spores, fungi spores, algae, charcoal) from a varved sediment sequence of Lake Montcortès (southern-central Pyrenees), embracing from the late Bronze Age (ca. 3000 yr BP) to the early Medieval Period (ca. 1200 yr BP).
DOI: 10.17632/5cyv9gprm7
title: LINF_360069000

description: Haloacid dehalogenase-like hydrolase
Leishmania infantum (strain JPCM5)
DOI: 10.17632/77gsm2wkgs
title: LDHU3_12.1340

description: Surface antigen protein 2; Leishmania donovani (HU3 strain)