cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/r9bhpv6vx9.2
title: Data for "Best Thermoelectric Efficiency of Ever-Explored Materials" by Ryu et al., using Starrydata2

description: Rawdata and post-processed datasets are provided for "Best Thermoelectric Efficiency of Ever-Explored Materials," which is published in an iScience article (https://doi.org/10.1016/j.isci.2023.106494). The dataset includes thermoelectric samples, related publication information, thermoelectric properties (TEPs) data with filter information, and the best thermoelectric materials and device efficiencies. Note that the material samples data were extracted from Starrydata2.org, with the rawdata version dated 2021-Nov-24th, and were then extensively investigated for material and device efficiencies. The materials' TEPs data have been filtered and cleaned. Using the TEPs in the cleaned dataset, the best efficiencies of material samples were calculated within one-dimensional thermoelectric leg models. In total, 100 million efficiencies were calculated for P-N leg pair devices across approximately 13 thousand ever-explored materials. Further details can be found in the related publication.
DOI: 10.17632/grt4htck9k.1
title: Nanopore sequencing of anti-FASII-adapted versus non-treated Staphylococcus aureus

description: Antibiotics that target the fatty acid synthesis (FASII) pathway block FASII synthesis, but do not prevent multiplication of the major Gram-positive pathogen Staphylococcus aureus. Bacteria can bypass inhibition by using exogenous fatty acids as present in animal hosts and food, making the anti-FASII an ineffective single-treatment method. The presence of serum favors adaptation to anti-FASII. We previous determined that no point mutation occurs during the adaptation period, which ranges from 6 - 8 hours according to conditions (https://doi.org/10.1016/j.celrep.2019.11.071). Here we performed genome sequencing by the nanopore method (realized by Eurofins Genomics Europe Sequencing GmbH, Germany) to determine whether genomic rearrangements occur during the adaptation event. Experiments were done using the USA300-FPR3757 strain called JE2. DNA was extracted from i- a control culture grown in 10% mouse serum (MS_col_1), and a second control culture grown in 10% newborn calf serum containing free fatty acids (170 µM each of C14:0, C16:0, C18:1) (SFA_col_1), and from ii- 2 independent anti-FASII-adapted cultures grown in 10% mouse serum + AFN-1252 (0.5 µg/ml) (MS A_col_1B and MS A_col_2), and 2 independent anti-FASII-adapted cultures grown in 10% newborn calf serum containing free fatty acids (170 µM each of C14:0, C16:0, C18:1) + AFN-1252 (0.5 µg/ml) (SFA_A_col_1 and SFA_A_col_2). Our results indicate that no genomic rearrangements are responsible for anti-FASII adaptation in the tested Staphylococcus aureus strain and conditions.
DOI: 10.17632/ypym6smhn2.1
title: Data of Chinese designer- entrepreneur’s digital storytelling and audiences’ engagement

description: These Data have been collected from Jicheng fashion designer entrepreneur’s (FDE’s) Weibo where she posted (e.g. text, photo) and interacted with her audiences. The author initially identified which item of cultural content is embedded in her each post with ten categories and have added up them at the same time, and next in importance measured statistically her audiences’ engagement activity to each post corresponds, finally calculated the percent to six cultural items and the average to three engagement activity items.
DOI: 10.17632/5b2fstwvsc.1
title: LINF_330010100

description: Protein with WD-40 repeats; Leishmania infantum (strain JPCM5)
DOI: 10.17632/kctkfvdt54.1
title: LINF_330007100

description: Zinc carboxypeptidase; Leishmania infantum (strain JPCM5)
DOI: 10.17632/23z6vg7mt7
title: Dynamics of linear erosion processes in São Paulo State urban areas

description: Dataset Description
This dataset contains geospatial data used to investigate the dynamics of linear erosion processes in urban areas of São Paulo State, Brazil. The dataset includes spatial information on various factors influencing erosion, such as geomorphology, geology, pedology (soil types), land use, rainfall erosivity, and geomorphometric variables (elevation, slope, aspect, and curvature).

1. Data Sources:

Geospatial Data: The erosion features (ravines and gullies) were mapped by the Technological Research Institute (IPT) in 2012, based on primary cartographic material, satellite imagery (CBERS-2B), and field visits. The dataset includes 1,398 erosion spots identified within urban areas of São Paulo State.
Land Use Data: Land use data were obtained from the IPT (2012) and the MapBiomas Project (2010), which provides land cover classifications for Brazil.
Rainfall Erosivity Data: Rainfall erosivity data were derived from Ricardi and Lima (2022), based on spatial extrapolations from rain gauge stations across São Paulo State.
Geomorphometric Data: Digital Elevation Models (DEMs) from the Brazilian Farming Information Center (CATI, 2016), based on NASA’s Shuttle Radar Topography Mission (SRTM) and ASTER GDEM V2, were used to extract variables like elevation, slope, aspect, profile curvature, and plan curvature.

2. Data Processing: The dataset includes processed variables that were used to model and analyze linear erosion processes through machine learning techniques, specifically the Classification and Regression Trees (CART) algorithm. The data were preprocessed in the ArcGIS Pro 2.8.3 environment, where they were reclassified and integrated for use in erosion susceptibility analysis.

3. Variables Included in the Dataset:

Erosion Features: Spatial locations of ravines and gullies in urban areas of São Paulo State.
Material of Origin: Geomorphology, geology, and pedology information for each erosion feature.
Land Use: Categories for upstream and downstream land use, as well as land cover data.
Rainfall Erosivity: Spatial distribution of rainfall erosivity values across São Paulo State.
Geomorphometric Variables: Elevation, slope, aspect, profile curvature, and plan curvature data extracted from the DEM.

4. Purpose and Application: This dataset was created to support the analysis of urban erosion processes and their driving factors. It can be used by researchers and practitioners in urban planning, environmental management, and landscape ecology to assess erosion susceptibility, plan for soil conservation, and inform sustainable urban development practices. The dataset also provides valuable insights into the application of GIS and machine learning techniques for spatial data analysis.
DOI: 10.17632/7n9c6x57hk.1
title: LINF_050007600

description: protein of unknown function - conserved
Leishmania infantum (strain JPCM5)
DOI: 10.17632/23z6vg7mt7.1
title: Dynamics of linear erosion processes in São Paulo State urban areas

description: Dataset Description
This dataset contains geospatial data used to investigate the dynamics of linear erosion processes in urban areas of São Paulo State, Brazil. The dataset includes spatial information on various factors influencing erosion, such as geomorphology, geology, pedology (soil types), land use, rainfall erosivity, and geomorphometric variables (elevation, slope, aspect, and curvature).

1. Data Sources:

Geospatial Data: The erosion features (ravines and gullies) were mapped by the Technological Research Institute (IPT) in 2012, based on primary cartographic material, satellite imagery (CBERS-2B), and field visits. The dataset includes 1,398 erosion spots identified within urban areas of São Paulo State.
Land Use Data: Land use data were obtained from the IPT (2012) and the MapBiomas Project (2010), which provides land cover classifications for Brazil.
Rainfall Erosivity Data: Rainfall erosivity data were derived from Ricardi and Lima (2022), based on spatial extrapolations from rain gauge stations across São Paulo State.
Geomorphometric Data: Digital Elevation Models (DEMs) from the Brazilian Farming Information Center (CATI, 2016), based on NASA’s Shuttle Radar Topography Mission (SRTM) and ASTER GDEM V2, were used to extract variables like elevation, slope, aspect, profile curvature, and plan curvature.

2. Data Processing: The dataset includes processed variables that were used to model and analyze linear erosion processes through machine learning techniques, specifically the Classification and Regression Trees (CART) algorithm. The data were preprocessed in the ArcGIS Pro 2.8.3 environment, where they were reclassified and integrated for use in erosion susceptibility analysis.

3. Variables Included in the Dataset:

Erosion Features: Spatial locations of ravines and gullies in urban areas of São Paulo State.
Material of Origin: Geomorphology, geology, and pedology information for each erosion feature.
Land Use: Categories for upstream and downstream land use, as well as land cover data.
Rainfall Erosivity: Spatial distribution of rainfall erosivity values across São Paulo State.
Geomorphometric Variables: Elevation, slope, aspect, profile curvature, and plan curvature data extracted from the DEM.

4. Purpose and Application: This dataset was created to support the analysis of urban erosion processes and their driving factors. It can be used by researchers and practitioners in urban planning, environmental management, and landscape ecology to assess erosion susceptibility, plan for soil conservation, and inform sustainable urban development practices. The dataset also provides valuable insights into the application of GIS and machine learning techniques for spatial data analysis.
DOI: 10.17632/f8pnb3j74m.1
title: LINF_050006200

description: protein kinase
Leishmania infantum (strain JPCM5)
DOI: 10.17632/jfb9mbxm9j.1
title: Cross sectional Data for Economic effect of Covid 19 in Ethiopia

description: This is data for Research Article on Title: Economic effect of Covid-19 in Salale, Oromia Ethiopia
DOI: 10.17632/nbgp223f4s.1
title: LINF_050008100

description: monothiol glutaredoxin
Leishmania infantum (strain JPCM5)
DOI: 10.17632/m7h4gdvrcv.1
title: LINF_050007800

description: Arp2/3 complex subunit 5 | ARPC5
Leishmania infantum (strain JPCM5)
DOI: 10.17632/4mfr9btjtt.1
title: Inflammatory Disease Progression Shapes Nanoparticle Biomolecular Corona-Mediated Immune Activation Profiles

description: Polymeric nanoparticles (NPs) have emerged as promising tools for immunomodulation in various disease contexts. The interactions between the NP surface and plasma-resident biomolecules result in the formation of a biomolecular corona (BC), which varies patient-to-patient and as a function of disease state, resulting in the concept of the personalized NP-BC. This study investigates how the progression of systemic inflammatory disease influences the NP-BC composition and its corresponding effects on innate immune cell interactions and activation profiles. Employing a murine model of systemic inflammation, the dynamic changes in plasma biomolecule composition and their corresponding NP-BC fingerprints were elucidated. An integrated multi-omics approach was developed to reveal disease state-specific alterations in innate immune cell phenotypes and modulated signaling pathways to identify and confirm key circulating biomolecules that contribute to the dynamic immunostimulatory capabilities of BCs. In this dataset, high throughput targeted and quantitative metabolomic analysis was carried out using the Biocrates MxP Quant 500 kit (Biocrates, Life Science AG, Innsbruck, Austria). The MxP Quant 500 kit was prepared following the instructions of the manufacturer.
DOI: 10.17632/fy28t3jr89.1
title: Soil Organic Carbon and Total Nitrogen data of the heap

description: The study was conducted in southern Poland at the Sośnica hard coal post-mine spoil heap (50⁰ 16' 22" N, 18⁰ 44' 43" E) in Gliwice and Zabrze, Upper Silesian Coal Basin. Samples from the organic (Oi+Oe) and uppermost mineral horizons (0–10 cm depth, A horizon) were collected from each plot in October 2021. A composite soil sample for each plot was collected from five subsamples (4 points at the corners and one in the middle of each plot).
DOI: 10.17632/j7nt6pmfjw.1
title: Database on: Dialogical truncation between law, economics and organizations in Brazilian Higher Education Institutions

description: Data on the frequency with which key terms (economic analysis of law OR law and economics OR transaction costs OR new institutional economics) and authors (Coase OR North OR Williamson) of the economic analysis of law appear in syllabuses, teaching plans and other documents pedagogical courses of 40 undergraduate courses and 20 postgraduate courses, in the areas of administration, law and economics, from 70 Brazilian higher education institutions.

Index of dialogue between law, economics and administration calculated using data collected through ordered weighted averaging.
DOI: 10.17632/b83jmwkf3v.1
title: Evaluation of Sodium Acetate in HEK293 cells producing the ECD-HER1. Metabolomics

description: Our research was focused to the evaluation of Sodium Acetate (NaAc) in the HEK293 cell culture. HEK293 is employed for the stable production of the extracellular domain HER1 at the Center of Molecular Immunology, a glycoprotein that is one of the extracellular domains of the epidermal growth factor receptor.
We study the effect of NaAc over the glycoprotein production, but also we search its impact over metabolism.
The data presented correspond to the HEK293 cell culture in batch mode, using concentrations of NaAc from 0mM; 4mM; 6mM; 8mM; 10mM and 20 mM. Samples were taken daily from the culture, in order to measure cell density by using Trypan blue dye exclusion, protein concentration by a homemade ELISA sandwich, and metabolites by derivatization method and Liquid Chromatography-Mass Spectrometry. 
After obtaining the corresponding measurement of each variable, we calculate the external specific rates by using mass balance equations, such as specific growth rate, specific protein production rate and specific metabolites uptake/production rate. Also, it was represented the profiles of the measured variables across the culture time, with the aim of identifying the growing phases. On the other side, the use of Metabolic Flux Analysis (MFA) was employed to predict the internal metabolic flux of this modified HEK293, with and without NaAc. To carried out MFA method, it was created a Matrix containing the concentration of 19 metabolites including aminoacids, Glucose and Lactate. To do that, programming codes were created, and metabolic models were adapted considering reactions and metabolites that are presented not only in the Recon2 network, but also were added reactions and metabolites that are connected with the metabolism of acetate.
The data presented, and the obtaining results, show an increment in protein open a new paradigm for the scientific community, in particular for those who are interested in the metabolism of HEK293 cells.
DOI: 10.17632/j7nt6pmfjw.2
title: Database on: Dialogical truncation between law, economics and organizations in Brazilian Higher Education Institutions

description: Data on the frequency with which key terms (economic analysis of law OR law and economics OR transaction costs OR new institutional economics) and authors (Coase OR North OR Williamson) of the economic analysis of law appear in syllabuses, teaching plans and other documents pedagogical courses of 40 undergraduate courses and 20 postgraduate courses, in the areas of administration, law and economics, from 70 Brazilian higher education institutions.

Index of dialogue between law, economics and administration calculated using data collected through ordered weighted averaging.

A detailed document of the process and partial results of data collection is available in the file: Database construction and analysis.
DOI: 10.17632/jxtf6fzjd2.1
title: LINF_050011300

description: Hook complex subunit
Leishmania infantum (strain JPCM5)
DOI: 10.17632/knhpf8swy3.1
title: LINF_050009000

description: SMC (Structural maintenance of chromosomes) protein
Leishmania infantum (strain JPCM5)
DOI: 10.17632/pb7kxry6xr.1
title: LINF_050010600

description: cdc2-related kinase | CRK2
Leishmania infantum (strain JPCM5)
DOI: 10.17632/dx59sr4sk5.1
title: LINF_050009100

description: Tetratricopeptide (TPR) domain-containing protein
Leishmania infantum (strain JPCM5)
DOI: 10.17632/7trckfddfs.1
title: Microplastic-induced shifts in meiofauna and macrofauna bioturbation and oxygen penetration depth in subtidal sediments

description: This dataset was collected to investigate how microplastics (MPs) at current and future concentrations in a typical subtidal estuary affect bioturbation and oxygen penetration depth (OPD) facilitated by macrofauna and meiofauna within a mesocosm experiment. Over thirteen days of microplastic exposure, bioturbation depth and OPD increased, while dissolved oxygen uptake (DOU) decreased across all treatments. However, with increasing MP contamination, bioturbation depth decreased, and OPD was slightly higher in MP-amended sediments compared to control sediments. The MP-induced reduction in bioturbation compared to controls was likely due to an overall meiofauna stress response to the pollutants. However, high MP contamination caused increased bioturbation depth compared to low and medium MP levels, likely owing to an increased evasion response of the infauna. Within the dataset is a metadata sheet with explanations of each variable within the experiment and how specific values were calculated, like bioturbation potential, along with references to the relevant literature used in this work.
DOI: 10.17632/xkpxdymjzp.1
title: Functional homology of tachykinin signalling: The influence of human substance P on the immune system of the mealworm beetle, Tenebrio molitor L. - comet assay raw dataset

description: Raw datasets related to the DNA integrity assay published in article “Functional homology of tachykinin signalling: The influence of human substance P on the immune system of the mealworm beetle, Tenebrio molitor L.” (https://doi.org/10.1016/j.dci.2023.104669).
DOI: 10.17632/syt2w6ds9v.1
title: LINF_050013400

description: Armadillo repeat-containing protein
Leishmania infantum (strain JPCM5)
DOI: 10.17632/tx567ttgyk.1
title: An algorithm to process, clean and aggregate the data from IVOG® electronic feeding stations

description: This combination of two RMarkdown reports describes a process of processing, cleaning and aggregating the data of IVOG® electronic feeding stations (Hokofarm group, the Netherlands). Along the way, the algorithms create visualisations and quantifications of the data, the choices made and their effects. In addition, different datasets are created and exported for future use. As all the code is provided and RMarkdown files can be easily reproduced, these algorithms can be used to clean your data, aggregate it to different levels, and gain more insight into your data's patterns and quality. In some cases and with some adaptations, the algorithm could also be applied to other types of feeding stations and sensors, for more information on this we refer to the README file.

The algorithm covers eight main parts, split across two reports: 1) Pre-processing to put the data in the right format; 2) Assessing data completeness and visualisation of its pre-cleaning quality; 3) Cleaning of the data using pre-set rules; 4) Visualisation and summary of the cleaning results; 5) Aggregation of the data to different time and subject levels; 6) Calculation of a meal criterion using a three-part probability density function; 7) Application of the meal criterion to aggregate the data further to the meal level; and 8) Visualisation of the meal-level data.

More information on different parts of the algorithm and on preparatory steps to take before the algorithm can run can be found shortly in the first chunk of each RMarkdown file ('setup') and more elaborately in the README file. A description of all used variables can also be found in the README file. For the most effective use of the algorithm, we advice to start by reading the README file.
DOI: 10.17632/2f42pbg9zw.1
title: Supporting Information of “Live yeast (Saccharomyces cerevisiae) improves liver metabolic status and physiological functions of Hu sheep during lactation”

description: The composition and nutrient content of the diets, detailed primers information and primary antibodies information are included in the Supporting information.
DOI: 10.17632/jppc79whwx.1
title: Audio latency tests in the Windows platform

description: To examine the audio performance possible in the latest Microsoft Windows platform and the factors that affect the audio latency, we analyzed the timing of sound play and recording in Windows 10 and 11. We developed software tools that played/recorded sounds via audio application programming interfaces (APIs) currently supported in Windows and measured the delay for the sounds to be generated/captured after the play command was issued. Multiple tests were performed for different computers, operating system versions, sound cards, sound drivers and APIs. 

The uploaded files include the audio latency measures (latency_data.mat) and MATLAB scripts for generating figures and tables based on the measures. For a detailed explanation of the uploaded files and data structure, please refer to the readme.txt and latency_data.m files.
DOI: 10.17632/f42ftkch6g.1
title: Anti-apoptotic MCL-1 promotes long chain fatty acid oxidation through interaction with ACSL1

description: Source data for western blots, immunofluorescence imaging, bright field microscopy imaging, and transmission electron microscopy imaging.
DOI: 10.17632/246w2955sx
title: LDHU3_19.1980

description: Protein kinase; Leishmania donovani (HU3 strain)
DOI: 10.17632/246w2955sx.1
title: LDHU3_19.1980

description: Protein kinase; Leishmania donovani (HU3 strain)
DOI: 10.17632/59vdxk4c76
title: LDHU3_19.1960

description: ATP-dependent zinc metallopeptidase; Leishmania donovani (HU3 strain)
DOI: 10.17632/59vdxk4c76.1
title: LDHU3_19.1960

description: ATP-dependent zinc metallopeptidase; Leishmania donovani (HU3 strain)
DOI: 10.17632/vwtbys7t8f
title: LDHU3_19.1940

description: ELMO domain-containing protein; Leishmania donovani (HU3 strain)
DOI: 10.17632/vwtbys7t8f.1
title: LDHU3_19.1940

description: ELMO domain-containing protein; Leishmania donovani (HU3 strain)
DOI: 10.17632/t47sxzx9zg
title: LDHU3_19.1930

description: Inosine-5'-monophosphate dehydrogenase (IMPDH); Leishmania donovani (HU3 strain)
DOI: 10.17632/t47sxzx9zg.1
title: LDHU3_19.1930

description: Inosine-5'-monophosphate dehydrogenase (IMPDH); Leishmania donovani (HU3 strain)
DOI: 10.17632/xy8scynfh8
title: LDHU3_19.2000

description: ATG8 | AUT7 | APG8 | PAZ2; Leishmania donovani (HU3 strain)
DOI: 10.17632/xy8scynfh8.1
title: LDHU3_19.2000

description: ATG8 | AUT7 | APG8 | PAZ2; Leishmania donovani (HU3 strain)
DOI: 10.17632/5tks5zyyrt
title: Increase in CH4 emissions in Pantanal wetland lagoon due to extreme drought and sediment exposure

description: CH4 emissions from a Pantanal lagoon
DOI: 10.17632/sbhrm7kjdc.1
title: Microscopic Traffic Simulation outputs for "Evaluation of the potential of speed-limiting geofencing" (VTI rapport 1190A)

description: This data repository contains all outputs from the microscopic traffic simulation experiment of speed-limiting geofencing for a hospital zone in an urban corridor of Gothenburg, Sweden as a part of the research project entitled "Evaluation of the potential of speed-limiting geofencing" (VTI rapport 1190A). The outputs include speed distributions, 85th Percentile speeds, tailpipe emissions and energy use for interrupted (signalized pedestrian crossing) and uninterrupted road facility and for different market penetration rates of geofenced vehicles at different demand levels.
DOI: 10.17632/5tks5zyyrt.1
title: Increase in CH4 emissions in Pantanal wetland lagoon due to extreme drought and sediment exposure

description: CH4 emissions from a Pantanal lagoon
DOI: 10.17632/gjftgd4ymj
title: LDHU3_20.0040

description: Histone-lysine N-methyltransferase; H3 lysine-76 specific (DOT1B); Leishmania donovani (HU3 strain)