cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/pm3dvn8nyt.1
title: LDHU3_09.1890

description: Protein of unknown function - conserved; Leishmania donovani (HU3 strain)
DOI: 10.17632/2jd9f7jcz9.1
title: LDHU3_09.1870

description: Protein of unknown function - conserved; Leishmania donovani (HU3 strain)
DOI: 10.17632/yzg8xghj9w.1
title: LDHU3_18.0260

description: RNA-binding protein 29 | RBP29; Leishmania donovani (HU3 strain)
DOI: 10.17632/mdbg4gwwpn.1
title: Pupae for Central Queensland Data set

description: Full data set for Helicoverpa pupae sampling crops in central Queensland and associated ANOVA
DOI: 10.17632/xwd4try2y3.1
title: Boletim epidemiológico: SITUAÇÃO EPIDEMIOLÓGICA DA ESPOROTRICOSE NO AMAZONAS 2020 - 2023

description: Boletim epidemiológico: SITUAÇÃO EPIDEMIOLÓGICA DA ESPOROTRICOSE NO AMAZONAS 2020 - 2023
DOI: 10.17632/vywyyks4r6.1
title: Using Monitoring and Mechanistic Modeling to Improve Understanding of Eutrophication in a Shallow New England Estuary

description: This data repository has been created to support Cashel et al. 2023 publication titled “Using Monitoring and Mechanistic Modeling to Understanding of Eutrophication in a Shallow New England Estuary”. This research served to explore the applicability of observed data and a dynamic, mechanistic fate and transport water quality model to assess eutrophication and hypoxia in the Pawcatuck River Estuary (New England, USA). Associated files include inputs from the Wood-Pawcatuck Watershed HSPF model, atmospheric forcing functions, continuous and discrete observed data in the Pawcatuck River Estuary, and additional information used to support this research. Refer to Section 6 of the Supplementary Materials associated with this research paper for a description of the contents of each file.
DOI: 10.17632/vywyyks4r6.2
title: Using Monitoring and Mechanistic Modeling to Improve Understanding of Eutrophication in a Shallow New England Estuary

description: This data repository has been created to support Cashel et al. 2024 publication titled “Using Monitoring and Mechanistic Modeling to Improve Understanding of Eutrophication in a Shallow New England Estuary”. This research served to explore the applicability of observed data and a dynamic, mechanistic fate and transport water quality model to assess eutrophication and hypoxia in the Pawcatuck River Estuary (New England, USA). Associated files include outputs from the Wood-Pawcatuck Watershed HSPF model, atmospheric forcing functions, continuous and discrete observed data in the Pawcatuck River Estuary, and additional information used to support this research. Refer to Section 6 of the Supplementary Materials associated with this research paper for a description of the contents of each file.
DOI: 10.17632/sw4r4m66gk.1
title: Targeted brain metabolomics in a 7 month-old GBE1-deficient adult polyglucosan body disease mouse model

description: Targeted metabolomic profiles (protein-normalized relative abundances of brain metabolites) were obtained in an adult polyglucosan body disease mouse model and littermate controls. Genotypes and biological replicates are as follows: WT (Gbe1+/+) n=12, Gbe1YS (Gbe1Y329S/Y329S) n=12
DOI: 10.17632/wb7mddr8sm.1
title: Thallium isotope cycling in a ferruginous Precambrian ocean analogue

description: Data associated with a manuscript submitted for review to Geochimica et Cosmochimica Acta.
DOI: 10.17632/rpgb99m5zy.2
title: Machine Learning and Fund Characteristics Help to Select Mutual Funds with Positive Alpha

description: %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
Replication files to ``Machine Learning and Fund Characteristics Help to Select Mutual Funds with Positive Alpha''
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

Each folder contains files to replicate one table or figure of the paper. The folders also contain a readme file to help users to run the codes. The replication_file.tex file generates a PDF file with the replicated tables and figures. 

Notice that the replicated tables and figures are not always identical to those reported in the paper. The reason is that in order to protect the proprietary nature of the data, in some cases we have added noise to mutual fund characteristics and returns.

The data files that are required to run the codes are stored in the /data_sets/ folder. Some tables and figures require the output from the codes stored in folders /code_for_ML_methods/ , /code_for_AW_method/ and /code_for_EW_method/. It is recommended to run the codes in those folders before running the codes that generate tables and figures. 

We include a file in both tex and pdf formats containing the full set of results.
DOI: 10.17632/hyd4rmy5fy.1
title: LINF_210026600

description: Pumilio protein 3 | PUF3; Leishmania infantum (strain JPCM5)
DOI: 10.17632/4kmh4rbhkm.1
title: LDHU3_14.1030

description: Fatty acid elongase | Ketoacyl-CoA synthase | ELO-4; Leishmania donovani (HU3 strain)
DOI: 10.17632/95g2kjk6f6.1
title: LDHU3_10.0190

description: Protein of unknown function - conserved; Leishmania donovani (HU3 strain)
DOI: 10.17632/d82cg4f4tm.1
title: LINF_210027200

description: poly(A) polymerase | KPAP2; Leishmania infantum (strain JPCM5)
DOI: 10.17632/868n2hkhfr.1
title: Quantitiative Data on Industrial Logistics' Decarbonization Progress in Austria

description: Results from a quantitative survey conducted in Austria during the summer of 2022
DOI: 10.17632/56r624b4v2.1
title: Defining the role of HIF-2alpha in the pathogenesis of acute myeloid leukemia and exploiting its inhibition as a new therapeutic approach to promote leukemia differentiation and exhaustion

description: This dataset represents findings obtained within a project supported by the Italian Ministry of Health (project code: RF-2019-12369841) and focused on investigating the mechanism of myeloid differentiation blockade by the transcription factor HIF-2alpha in acute myeloid leukemia (AML) and the consequences of its inhibition with novel targeted therapies.
We found that in AML HIF-2alpha regulates a specific set of target genes involved in transcriptional repression, leading to inhibition of entire gene clusters linked to myeloid difefrentiation. As a consequence, HIF-2alpha blockade via genetic or pharmacologic approaches leads to myeloid differentiation and leukemia debulking. Also, we positioned HIF-2alpha under direct transcriptional control by the prodifferentiation agent all-trans retinoic acid (ATRA) and demonstrated that HIF-2alpha blockade cooperates with ATRA to trigger AML cell differentiation.
Links related to this dataset contain: 1. A publication describing part of the results funded by this grant; 2. Source data linked to this publication and deposited in the BioStudies repository (accession number: S-SCDT-10_15252-EMMM_202317810); 3. Sequencing data deposited in the GEO repository.
DOI: 10.17632/psgcj7v5x9.1
title: LDHU3_10.0440

description: IDH-90 | Isocitrate dehydrogenase [NADP]; Leishmania donovani (HU3 strain)
DOI: 10.17632/hmdvg2r4fw.1
title: LINF_360018600

description: protein of unknown function - conserved
Leishmania infantum (strain JPCM5)
DOI: 10.17632/29wp6g7trr.1
title: Structural snapshots uncover a key phosphorylation motif in GPCRs driving β-arrestin activation

description: Raw data for the figures associated with this manuscript.
DOI: 10.17632/8424ky469w.1
title: Data and materials for "The race between education and technology in Chile and its impact on the skill premium"

description: This folder contains all necessary files to replicate the findings presented in the paper "Campos-González, J. and K. Balcombe.2024. The race between education and technology in Chile and its impact on the skill premium. ECONOMIC MODELLING". Ensure that you reference this data if it is used for other purposes.
DOI: 10.17632/g285w7jsb7.1
title: LDHU3_14.0470

description: trans-Golgi network protein; Leishmania donovani (HU3 strain)
DOI: 10.17632/c9zc4rgkxg.1
title: LINF_360019000

description: DnaJ domain-containing protein | JDP5 | J5
Leishmania infantum (strain JPCM5)
DOI: 10.17632/hb8czx2jxn.1
title: Micronucleus and Abnormality Nuclear in Birds of Seasonally Dry Tropical Forests

description: We are interested in understanding how the degradation of the dry forest in the Tumbesian region is related to an increase in genotoxic damage in birds. Our research hypothesis posited that the degradation of the dry forest would be associated with a higher frequency of micronuclei and nuclear abnormalities in the birds inhabiting these areas.

To test our hypothesis, we conducted safe captures of birds in three different types of forests: natural forests, semi-natural forests, and shrub-dominated forests in the Tumbesian region. We collected blood samples from the captured birds and conducted tests for micronuclei and nuclear abnormalities in the laboratory. These genotoxic markers are sensitive indicators of DNA damage and provide information about the genetic health of the birds. This dataset is the basis of our findings.
DOI: 10.17632/58ygnws4kg.1
title: LDHU3_10.0470

description: Protein transport protein SEC23; Leishmania donovani (HU3 strain)
DOI: 10.17632/fk692mcm64.1
title: LDHU3_10.0610

description: Dihydroxyacetone kinase 1-like protein; Leishmania donovani (HU3 strain)
DOI: 10.17632/m3y5mw5hwp.1
title: Honey Bibliometric

description: Honey Bibliometric
DOI: 10.17632/wrkp986xjp.1
title: Data_ AI applied in Smart Tourism

description: Four hundred twenty-nine available questionnaires were collected that meet the sample size to conduct structural equation modeling and the other multivariate analysis. The samples include 196 males (45.7%) and 233 females (54.3%). Most respondents have a bachelor’s degree (78.3%) and are aged from 19 to 40 (92.7%). Students account for the majority of occupations (39.4%), followed by workers/employees (33.8%), public institution staff (18.2%), and civil servants (3.3%). The sample distribution aligns with the visit distribution of general smart tourism attractions without bias.
There are two worksheets in the excel file. One is the questionnaire items, the other one is the data.
DOI: 10.17632/pz7s45j6ch.1
title: LDHU3_05.0850

description: kinesin-like protein
Leishmania donovani (HU3 strain)
DOI: 10.17632/pz7s45j6ch.2
title: LDHU3_05.0850

description: Kinesin-like protein; Leishmania donovani (HU3 strain)
DOI: 10.17632/pp73w2g349.1
title: Geochemical results of the studied authigenic seep carbonates

description: The supplementary material is a Table including the site information and geochemical results of the studied authigenic seep carbonates.
DOI: 10.17632/vxvg8xc64s.1
title: LDHU3_10.0870

description: Formin-like protein; Leishmania donovani (HU3 strain)
DOI: 10.17632/t84gh46jsk.1
title: Zhang_Cell2024_TMEM2OE TGFBR1KO_forward

description: RNA-seq datasets of BJ fibroblasts with indicated genetic modifications (TMEM2-OE, or
TMEM2-OE TGFBR1-KO) and/or pharmaceutical treatments (1 ng/mL TGF-β1 treatment for
24 hours). Four replicates per condition.
DOI: 10.17632/rm6vv3xwj9.1
title: Eye tracking data of South East Asian individuals' movements when looking at bowel cancer promotion messages

description: While promotional visual imagery can significantly increase CRC screening, the specific impact of messages and imagery among ethnic minorities and individuals from socioeconomically deprived communities needs further exploration. This study informed the development of optimized bowel cancer screening promotion images tailored at the wider audience, South Asian community in the UK, in which screening uptake is only 33% and in India where both awareness and organized screening programs from colorectal cancer is scarce. The research aims to bridge the gap between existing visual health communication methods and their effectiveness among diverse populations, ultimately working to reduce screening disparities and improve early detection rates.
DOI: 10.17632/7jjr7mbvc4.1
title: DEM models of UAV LiDAR automated point cloud classification from the DJI Zenmuse L1 sensor on the cliff coast.

description: A point cloud in LAS format performed in January 2023 using a DJI Matrice 300 with a Zenmuse L1 sensor was automatically classified to determine ground level using various algorithms in programs: Agisoft Metashape, LAStools, Global Mapper, CloudCompare and using Python scripts. The best models from each method are included in this repository in the "DEM files" folder. All models are in EPSG:2176 projection and at 10 cm/pix resolution. They were cropped to a mask and scaled from ellipsoidal height using QGIS software. These data are the result of comparison of automatic classification methods from the indicated software. They can be used for further analysis related to the coastal zone or the study of cliffs on the western coast of the southern Baltic Sea.
DOI: 10.17632/f5gd8tsgy9.1
title: M1-type polarized macrophage contributes to brain damage through CXCR3.2/CXCL11 pathways after RGNNV infection in grouper

description: The vertebrate central nervous system (CNS) is the most complex system of the body. The CNS, especially the brain, is generally regarded as immune-privileged. However, the specialized immune strategies in the brain and how immune cells, specifically macrophages in the brain, respond to virus invasion remain poorly understood. Therefore, this study aimed to examine the potential immune response of macrophages in the brain of orange-spotted groupers (Epinephelus coioides) following red-spotted grouper nervous necrosis virus (RGNNV) infection. We observed that RGNNV induced macrophages to produce an inflammatory response in the brain of orange-spotted grouper, and the macrophages exhibited M1-type polarization after RGNNV infection. In addition, we found RGNNV-induced macrophage M1 polarization via the CXCR3.2- CXCL11 pathway. Furthermore, we observed that RGNNV triggered M1 polarization in macrophages, resulting in substantial proinflammatory cytokine production and subsequent damage to brain tissue. These findings reveal a unique mechanism for brain macrophage polarization, emphasizing their role in contributing to nervous tissue damage following viral infection in the CNS.
DOI: 10.17632/4j5rv7rzn7.1
title: Techno-economic analysis of a small-capacity microalgae cultivation plant for co-production of nutritional products and biofuel precursors: A case study from Greece

description: These data represent the Process Flow Diagrams (PFDs) of three business models (Nominal Business Model, Alternative Business Model I, and Alternative Business Model II), the mass flows of the streams and the equipment cost of each PFD regarding a small-capacity microalgae cultivation plant for co-production of nutritional products and biofuel precursors.
DOI: 10.17632/943d7w2g73.1
title: LDHU3_10.0900

description: Protein of unknown function - conserved; Leishmania donovani (HU3 strain)
DOI: 10.17632/ypzswhhzh9.3
title: Pneumatic Pressure and Electrical Current Time Series in Manufacturing

description: Obtained at a real-world discrete manufacturing shopfloor, the dataset contains measurements of pneumatic pressure and electrical current. The dataset contains 7 days of operation, spanning roughly 150 processed pieces. The dataset contains time series pre-segmented at points in time where the internal state-machine of the observed process changes, i.e. at points in time when the machine transitions from one operation to the next. The labels contained within the dataset enable the application of supervised learning algorithms such as time series classification, as well as validation of unsupervised approaches such as time series clustering.

The observed process is an end-of-line testing machine for consumer-grade small electric drive assembly (device under test – DUT). The machine takes several actions to evaluate each DUT, the measurements present in this dataset observe the pneumatic pressure powering actuators and the electrical current activating them. The data is pre-segmented using the testing machines internal state machine. Each segment corresponds to single action performed by the testing station in the process of manipulating the piece under observation.

The segments contained in the dataset indicate characteristic pressure and current signatures for each action performed. This enables the dataset to be used in the design of time series algorithms aimed at non-invasive monitoring of (discrete) industrial processes.
DOI: 10.17632/ypzswhhzh9.1
title: Pneumatic Pressure and Electrical Current Time Series in Manufacturing

description: Obtained at a real-world discrete manufacturing shopfloor, the dataset contains measurements of pneumatic pressure and electrical current. The dataset contains 7 days of operation, spanning roughly 150 processed pieces. The dataset contains time series pre-segmented at points in time where the internal state-machine of the observed process changes, i.e. at points in time when the machine transitions from one operation to the next. The labels contained within the dataset enable the application of supervised learning algorithms such as time series classification, as well as validation of unsupervised approaches such as time series clustering.

The observed process is an end-of-line testing machine for consumer-grade small electric drive assembly (device under test – DUT). The machine takes several actions to evaluate each DUT, the measurements present in this dataset observe the pneumatic pressure powering actuators and the electrical current activating them. The data is pre-segmented using the testing machines internal state machine. Each segment corresponds to single action performed by the testing station in the process of manipulating the piece under observation.

The segments contained in the dataset indicate characteristic pressure and current signatures for each action performed. This enables the dataset to be used in the design of time series algorithms aimed at non-invasive monitoring of (discrete) industrial processes.
DOI: 10.17632/4kmt4wwcrm.1
title: LDHU3_10.0970

description: ABC1 domain-containing protein; Leishmania donovani (HU3 strain)
DOI: 10.17632/w6pj5fytbr.1
title: LDHU3_10.0940

description: Zinc binding dehydrogenase-like protein; Leishmania donovani (HU3 strain)
DOI: 10.17632/dxb9fx8b49.1
title: LINF_340018000

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/gf2s8jkdjf.1
title: Dataset for Quantum Double-field Model and Application

description: Online mathematical tools from Ref. [94] in the paper were used to conduct computations to validate the data generated from the QDF model and evaluate the fmv (four main variables) equations. In addition, the method paper Ref. [7] for MethodsX J, implements and further validates the QDF model proving its universality for a set of CPTs and QPTs observed in a thermodynamic system.  This includes the summary of the design and quantum thermodynamic aspects to implement and validate the "Quantum Field Lens Coding and Thermodynamic Metrics" algorithm (model) as a supplementary file to this paper. The method article as the quantum algorithm code evaluates the entanglement entropy of this model.  

Secondly, the QDF game demo and relevant data are available in this dataset. For instance, animating the data used in the communication steps 1-7 of the QDF system model in the article is presented via "QDFGTAnim.pptx" and "QDFGTAlgorithm.nb" files. 

Lastly, expert highlights of peer-reviewed QDF Game Theory aspects expanding to the universality of the model is part of this dataset as "Expert_Model Highlights (2022).pdf" document with discussion on how this model's universality was achieved in the current article's version throughout its QDF examples and proof of its theory.
DOI: 10.17632/gf2s8jkdjf.2
title: Dataset for Quantum Double-field Model and Application

description: Online mathematical tools from Ref. [94] in the paper entitled: "Quantum Double-field Model and Application" were used to conduct computations to validate the data generated from the QDF model and evaluate the fmv (four main variables) equations. In addition, the method paper Ref. [7] for MethodsX J, implements and further validates the QDF model proving its universality for a set of CPTs and QPTs observed in a thermodynamic system. This includes the summary of the design and quantum thermodynamic aspects to implement and validate the "Quantum Field Lens Coding and Thermodynamic Metrics" algorithm (model) as a supplementary file to this paper. The paper entitled: "A Double-field Computation Model to Simulate Physical Systems" introduces this algorithm and its application whereas the method article discusses its implementation and results. The method article as the quantum algorithm code evaluates the entanglement entropy of this model. 

Secondly, the QDF game demo and relevant data are available in this dataset. For instance, animating the data used in the communication steps 1-7 of the QDF system model in the article is presented via "QDFGTAnim.pptx" and "QDFGTAlgorithm.nb" files. 

Lastly, expert highlights of peer-reviewed QDF Game Theory aspects expanding to the universality of the model is part of this dataset as "Expert_Model Highlights (2023).pdf" document with discussion on how this model's universality was achieved in the current article's version throughout its QDF examples and proof of its theory.
DOI: 10.17632/nvfxbtkm2n.1
title: LINF_340016600

description: Calcium-binding protein; Leishmania infantum (strain JPCM5)
DOI: 10.17632/cvr77cr6ry.1
title: Adaptable Three-pin Skull Clamp for Large Animal Research

description: Design files for building an adjustable three-pin skull clamp surgical system for animal research. Files are available as PDFs for engineering drawings, Solidworks files (.SLDPRT,.SLDDRW,.SLDASM), and STEP files for general CAD use.

System was designed for neurobiological researchers using large animal models to practice surgical approaches identical to those performed in humans. The system is highly adjustable, also allowing researchers to attempt novel surgical approaches.
DOI: 10.17632/z2hxykvpjx.1
title: Forecasting the U.S. Dollar in the 21st Century

description: Replication file for Journal of International Economics paper titled "Forecasting the U.S. Dollar in the 21st Century".
DOI: 10.17632/cgp2vyrtnh.1
title: HYGROTHERMAL PROPERTIES OF HISTORIC BRICKS FROM VARIOUS SITES OF LATVIA

description: There are available hygrothermal simulation tools that allow to model possible scenarios for optimization of thermal transmittance of historic wall, creating complex insulation systems. The accuracy of the results depends on the conformity of the input data to the specific design of existing wall. The properties of materials selected in the simulation tool should reflect as close as possible the properties of the wall under investigation. 
For theses tools to be widely applicable the material library has to include various materials from various regions, thus allowing architects, planners, real estate developers and homeowners of Latvia to use the simulation tool with greater reliance on the accuracy of the simulation results.
In order to obtain a result in mathematical modelling software simulating the humidity transfer processes, which would reflect the situation as close to the real conditions as possible, the database built into the modelling software should be supplemented with materials specific to the Latvian construction periods and obtained in different locations.
Dataset Contains hygrothermal parameters of 40 different historic brick samples from Latvia (Density, Porosity, Water vapor resistance factor, etc.).
Standard measurement methods with some adjustments were used to determine hygrothermal parameters of brick samples. The material properties were determined for a specific reason, to be used as a input data for creation of hygrothermal simulation tool material file, in this case DELPHIN simulation tool. Therefore, some deviations from the testing standards were implemented. These deviation were developed by Dresden University of Technology (also the developers of DELPHIN simulation tool) and are described in file "description.docx".