cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/nvj2ygmsg7.1
title: LINF_350034000

description: protein kinase
Leishmania infantum (strain JPCM5)
DOI: 10.17632/kfjkwzps79.1
title: Geothermal effect on the riverine Mo isotopes: implications for its riverine input to ocean

description: The tables present detailed data on Mo concentrations, δ98Mo values, major ions, and main hydrological parameters at four observation stations (Doxing, Wushi, Xiawannan, and Jianggao stations) from the Liuxihe River. They also include calculations of the contribution from different sources to the dissolved Mo budget, as well as elemental and Mo isotopic compositions of various endmembers.
DOI: 10.17632/3wfwh7j4gw.1
title: The Combined Effects of Temperature and Posture on Regional Blood Flow and Haemodynamics

description: Under simultaneous ambient temperature and postural stressors, integrated regional blood flow responses are required to maintain blood pressure homeostasis. The aim of the present study was to assess the effect of ambient temperature and body posture on regional regulation of microvascular blood flow, specifically in the arms and legs. 
Participants (N=11) attended two sessions in which they experienced transient ambient conditions, in a climatic chamber. During each 60-min trial, ambient temperature was varied between 15°C and 40°C and the participants were either standing or in a supine position; relative humidity in the chamber was maintained at 25.9 (6.6) %. Laser doppler flowmetry of the forearm (SkBFarm) and calf (SkBFcalf), and haemodynamic responses (heart rate, stroke volume, cardiac output, blood pressure), were measured continuously. Analyses of heart rate variability and wavelet transform were also conducted.
SkBFarm increased significantly at higher ambient temperatures (p=0.003), but not SkBFcalf. The standing posture caused lower overall SkBF in both regions throughout the protocol, regardless of temperature (p&lt;0.001). With the exception of cardiac output, all haemodynamic variables were significantly altered as a result of changes in the ambient temperature and postural condition (all p&lt;0.05), indicating that higher ambient temperatures and the standing condition elicited higher strain on the cardiovascular system. Mechanistic analyses identified greater sympathetic nerve activation, and higher calf myogenic activation at peak temperatures, in the standing condition.
Mechanistically and functionally, arm vasculature responds to modulation from both thermoregulation and baroreceptor activity. The legs, meanwhile, are more sensitive and strongly innervated by baroreflex regulatory mechanisms.
DOI: 10.17632/j3xzrtnc63.1
title: LDHU3_13.0630

description: 40S ribosomal protein S12 | eS12; Leishmania donovani (HU3 strain)
DOI: 10.15468/dl.hx63tt
title: Occurrence Download

description: A dataset containing 17767 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lithobates catesbeianus (Shaw, 1802)",
 "Country is Belgium",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 17767 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004367-250117142028555/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p8bvsy
title: Occurrence Download

description: A dataset containing 142862 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (South Africa, Lesotho, Eswatini)",
 "TaxonKey is one of (Upupa africana Bechstein, 1811)",
 "BasisOfRecord is one of (Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1950",
 "OccurrenceStatus is Present",
 "DistanceFromCentroidInMeters is greater than or equal to 2000"
 ]
}

 The dataset includes 142862 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004362-250117142028555/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/fhd9ym6css.1
title: Application of System Dynamics Approach to Determine Sustainable Plastic Waste Management Scenario of Khulna City in Bangladesh

description: The dataset has been generated through simulating a developed system dynamics model for sustainable plastic waste management of khulna city in Bangladesh from 2018 until 2040. The work has been done as a part of the German Govt. funded plastic mitigation project named, " Sustainable Capacity Building to Reduce Irreversible Pollution by Plastics (SCIP Plastics)". The funder for this project is the German Federal Ministry for the Environment, Nature Conservation, Nuclear Safety and Consumer Protection under grant no. 67MM0004 and the main implementing partner is Bauhaus University Weimar (BUW). It is the first part of the elaborate work that will be conducted in order to determine the point source for inland plastic waste flow to the nearby aquatic body, canals or rivers.
DOI: 10.17632/9k2p24f9p6.1
title: Data from Quantitative DNA metabarcoding reveals species composition of a macrocyclic lactone and pyrantel resistant cyathostomin population in the UK. Bull et al.

description: Raw ITS-2 sequences used in the manuscript of Quantitative DNA metabarcoding reveals species composition of a macrocyclic lactone and pyrantel resistant cyathostomin population in the UK. Bull et al.
DOI: 10.17632/9thbm625hk.1
title: MODELOS COMPARADOS DE SERVICIO CIVIL EN 5 PAISES: ALEMANIA, FRANCIA, GRAN BRETAÑA, ESPAÑA E ITALIA.

description: We have carried out a Comparative Study of the Civil Service Models in five (5) countries, which are characterized by the robustness of their Public Administration, based on the legal framework of each nation: its Principal Law that supports the Political Constitution, Law of Public Administration, among other substantive laws.
Special consideration has been given in our Study to the legislation that enshrines social rights and achievements in each of the reference nations.
DOI: 10.17632/d6vfcm9shz.1
title: Data for: Subjective risk belief function in the field: Evidence from cooking fuel choices and health in India

description: These files can be used to replicate the analysis of "Subjective risk belief function in the field: Evidence from cooking fuel choices and health in India."
DOI: 10.17632/ygprhc3hvt.1
title: Cytoplasmic binding partners of the Integrator endonuclease INTS11 and its paralog CPSF73 are required for their nuclear function

description: The deposited raw data shows all aspects of Western blots that were used in Lin et al. The red-boxed regions denote which portions of blots were used in the actual figures.
DOI: 10.17632/r4hgs982vs.2
title: ML training data for 'Machine Learning Based Approach to Predict Ductile Damage Model Parameters for Polycrystalline Metals'

description: This dataset contains training data for the machine learning model described in ‘Machine Learning Based Approach to Predict Ductile Damage Model Parameters for Polycrystalline Metals’ by the same authors. The included data were generated using FLAG simulations of a flyer plate impact scenario with the ductile damage model TEPLA for three materials: half-hard copper, annealed copper, and aluminum 6061. For each of these materials, we include the postprocessed results for the free surface velocity as a function of time as well as porosity as a function of position in the target material, and finally a derived ‘reduced’ dataset containing only characteristic features of the former; details are described in the above mentioned paper, see
https://doi.org/10.1016/j.commatsci.2023.112382
or
https://arxiv.org/abs/2301.07790
The code to reproduce the postprocessed data from the included raw data as well as to train the ML model is published here:
https://github.com/dblaschke-LANL/LEAD/
DOI: 10.17632/4jhwhhnt93.2
title: Atopic dermatitis in childhood and pubertal development: A nationwide cohort study

description: Supplementary

Supplemental Table 1: Age difference in months in pubertal development according to atopic dermatitis (AD) using a diagnostic algorithm (according to Benn C.S. et al.1) among 6,516 girls and 6,178 boys in the Puberty Cohort, Danish National Birth Cohort, Denmark, 2012-2021.

Supplemental Table 2: Age difference in months in pubertal development according to persistent or recurrent atopic dermatitis at seven years among 5,776 girls and 5,663 boys in the Puberty Cohort, Danish National Birth Cohort, Denmark, 2012-2021. 

Supplemental Figure 1: Directed Acyclic Graph
DOI: 10.6084/m9.figshare.28233989
title: potato leaf disease.rar

description: This is the Potato leaf dataset used in the paper “A dual-branch model combining convolution and Vision Trans-former for crop disease classification”.This dataset is derived from the paper:Rashid J, Khan I, Ali G, Almotiri SH, AlGhamdi MA, Masood K. Multi-Level Deep Learn-ing Model for Potato Leaf Disease Recognition. electronics. . 2021;10: 2064. doi:10.3390/electronics10172064.The original dataset can be found at https:// drive.google.com/drive/folders/1FpcQA66pEg0XR8y5uEzWU__REPpqSAPD?usp=sharing.
DOI: 10.17632/bb7jphgfdx.1
title: Flow and sediment data on vertical profiles of the ZC, SS, and JL gauges in the Yangtze River

description: The datasets include the concentration and size gradation of suspended sediment, corresponding water depths and flow velocities on vertical profiles of the ZC, SS, and JL gauges. The duration of the measured data includes 1998–2021 and a few years before the impoundment of the Three Gorges Dam. Most data were recorded in the flood seasons, and the observation frequency varies considerably, with a maximum of 18 times per year, according to peak discharges and their duration in the year. There are 7–13 vertical profiles in each gauging section and 5 or 7 observation points on each vertical profile.
DOI: 10.17632/spcvbphfdn.2
title: Fatigue test data of S355 steel and 7075-T651 aluminum alloy subjected to in-phase multiaxial cyclic loading with superposed static components

description: The provided data set includes the applied nominal stress amplitudes and mean values of cyclic loading, and the number of cycles to failure defined as a 20% drop in specimen stiffness. The hourglass-shaped specimens were subjected to cyclic uniaxial plane bending, torsion, and their in-phase combination. The data were collected to verify the multiaxial fatigue life prediction models of parametric form (standard models) and the recently developed model based on the Gaussian process (Karolczuk, A.; Słoński, M. Application of the Gaussian process for fatigue life prediction under multiaxial loading. Mech. Syst. Signal Process. 2022, 167, 108599). The full description of experimental tests can be found in Kluger, K.; Karolczuk, A.; Derda, S. Application of life-dependent material parameters to fatigue life prediction under multiaxial and non - zero mean loading. Materials (Basel). 2020, 13.
DOI: 10.17632/spcvbphfdn.1
title: Fatigue test data of S355 steel and 7075-T651 aluminum alloy subjected to in-phase multiaxial cyclic loading with superposed static components

description: The provided data set includes the applied nominal stress amplitudes and mean values of cyclic loading, and the number of cycles to failure defined as a 20% drop in specimen stiffness. The hourglass-shaped specimens were subjected to cyclic uniaxial plane bending, torsion, and their in-phase combination. The data were collected to verify the multiaxial fatigue life prediction models of parametric form (standard models) and the recently developed model based on the Gaussian process (Karolczuk, A.; Słoński, M. Application of the Gaussian process for fatigue life prediction under multiaxial loading. Mech. Syst. Signal Process. 2022, 167, 108599). The full description of experimental tests can be found in Kluger, K.; Karolczuk, A.; Derda, S. Application of life-dependent material parameters to fatigue life prediction under multiaxial and non - zero mean loading. Materials (Basel). 2020, 13.
DOI: 10.17632/spjsbgwbm4.1
title: LINF_350034800

description: Kinetoplast polyadenylation factor 3 | KPAF3
Leishmania infantum (strain JPCM5)
DOI: 10.15468/dl.t2f279
title: Occurrence Download

description: A dataset containing 1668609 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Données naturalistes opportunistes Faune-France-Données Naturalistes Faune-France 2021 Communes"
 ]
}

 The dataset includes 1668609 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004365-250117142028555/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/p85pt8bc65.1
title: LINF_350034700

description: Leucine carboxyl methyltransferase | LCM1
Leishmania infantum (strain JPCM5)
DOI: 10.17632/6whtvfg3ds.1
title: Macrofaunal communities abundances, biomass and traits in relation to their environment between 2003 and 2022 in Åland Islands, Baltic Sea

description: Macrofaunal communities descriptors (abundances, biomass and traits) and environmental variables sampled in stations located in Åland Islands (Baltic Sea), between 2003 and 2022, after Marenzelleria spp. establishment.
DOI: 10.17632/65ng86msnw.1
title: LINF_350034300

description: hypothetical protein - conserved
Leishmania infantum (strain JPCM5)
DOI: 10.17632/v7smh33bst.1
title: Portuguese Public Procurement Data (PPPData)

description: PPPData comprises 5214 records (public procurement contracts with unique properties), each characterised by 37 fields. This data was collected throughout 2022 from the websites: Portal Base, the Portuguese national repository of public procurement procedures; and Diário da Républica Eléctronico, the official national gazette of Portugal. The gathered data was restricted to public project contracts with a closing date between 2015 and 2022. The resulting dataset was stored in an Microsoft Excel file (.xlsx). 
It provides filterable and queryable data to support the development of statistical analysis techniques and AI-based applications for the construction procurement phase.
Researchers, construction analysts, bidders, and clients can benefit from this structured and systematised procurement information.
ML and/or NLP researchers may utilise this data to train and test new models for both supervised and unsupervised learning problems, allowing, for instance, to gain insights into the procurement factors that affect a project’s performance and assess the procurement’s success at its early stages.
DOI: 10.5281/zenodo.14699325
title: Third Pole 3km runoff depth and evapotranspiration dataset by an observation-constrained cryosphere-hydrology model

description: We used the latest long-term, high-resolution (3 km, hourly) meteorological dataset for the Third Pole region (a high-resolution near-surface meteorological forcing dataset for the Third Pole region, TPMFD) to drive the WEB-DHM model (Water and Energy Budget-based Distributed Hydrological Model), which couples cryospheric hydrological processes such as snow, permafrost, and glaciers. The WEB-DHM model was validated by observed runoff data and reliable remotely sensed snow cover and glacier area data. Then we used the validated model to quantitatively analyze the spatiotemporal dynamics and driving mechanisms of water resources in the source regions of seven major rivers on the Third Pole: the Yellow, Yangtze, Mekong, Salween, Brahmaputra, Ganges (including three major sub-basins: Karnali, Gandaki, and Koshi), and Indus rivers. The simulation produced 3 km, monthly water resource data products (including runoff and evapotranspiration) for these basins from 1993 to 2022, collectively referred to as TPRED_3km.
DOI: 10.5281/zenodo.14699326
title: Third Pole 3km runoff depth and evapotranspiration dataset by an observation-constrained cryosphere-hydrology model

description: We used the latest long-term, high-resolution (3 km, hourly) meteorological dataset for the Third Pole region (a high-resolution near-surface meteorological forcing dataset for the Third Pole region, TPMFD) to drive the WEB-DHM model (Water and Energy Budget-based Distributed Hydrological Model), which couples cryospheric hydrological processes such as snow, permafrost, and glaciers. The WEB-DHM model was validated by observed runoff data and reliable remotely sensed snow cover and glacier area data. Then we used the validated model to quantitatively analyze the spatiotemporal dynamics and driving mechanisms of water resources in the source regions of seven major rivers on the Third Pole: the Yellow, Yangtze, Mekong, Salween, Brahmaputra, Ganges (including three major sub-basins: Karnali, Gandaki, and Koshi), and Indus rivers. The simulation produced 3 km, monthly water resource data products (including runoff and evapotranspiration) for these basins from 1993 to 2022, collectively referred to as TPRED_3km.
DOI: 10.17632/rx6vmrww32.1
title: Borderland Minho industries

description: Information about financial data in industries in the borderlands of the Minho River in Spain
DOI: 10.17632/rx6vmrww32.3
title: Borderland Minho industries

description: Information about financial data in industries in the borderlands of the Minho River in Spain
DOI: 10.17632/rx6vmrww32.2
title: Borderland Minho industries

description: Information about financial data in industries in the borderlands of the Minho River in Spain
DOI: 10.60656/61d6b51c409946a9
title: Custom collection of categorize, classification, drizzle, droplet effective radius, ice effective radius, and 2 other products from Lindenberg on 13 Jan 2025
DOI: 10.17632/627vt5gbc3.1
title: FENG used to predict Angular Velocity Work

description: Here is presented the data used for the paper titled "Assessment of Head Dynamics using a Flexible Self-Powered Sensor and Machine Learning, capable of predicting probability of Brain Injury". Authors: Gerardo L. Morales-Torres*, Ian González-Afanador, Luis A. Colón-Santiago, Nelson Sepúlveda. Department of Electrical and Computer Engineering, Michigan State University, East
Lansing, 48824, Michigan, United States

https://doi.org/10.1016/j.nwnano.2025.100076

Abstract
 This work presents the application of a flexible, self-powered sensor designed to predict angular velocity and acceleration during head kinematics associated with concussions. This paper-thin, flexible device, which exhibits piezoelectric-like properties, is strategically placed on the back of a human head substitute to capture stress and strain in this region during whiplash events. The mechanical energy generated by varying magnitudes of whiplash is converted into electrical pulses, which are then integrated with multiple machine learning models. These models were tested and compared, demonstrating their ability to accurately predict angular velocity and acceleration of the head. This predictive capability can be utilized to assess the probability of brain injury. The findings demonstrate that this system not only enhances the understanding of head impact dynamics, but also opens avenues for developing more effective injury risk assessment tools. By combining innovative sensor technology with advanced machine learning techniques, this study contributes to improved safety monitoring in high-risk environments, such as high-contact and automotive sports.

The videos show the dummy head drop for three different heights with the FENG voltage, derivative and the angular velocity of the head. The FENG csv files contain the data of the ferro-electret nano-generator voltage. The HEAD csv files contain the data of the angular velocity captured by sensors inside the dummy head. The python code is also presented , where all the processing and training was done.
DOI: 10.17632/krpz8m7kxf.1
title: LINF_350035900

description: ubiquitin-activating enzyme E1 | UBA1b
Leishmania infantum (strain JPCM5)
DOI: 10.17632/8jgryt8zjp.1
title: LINF_350035100

description: DnaJ domain-containing protein | JDP50 | J50
Leishmania infantum (strain JPCM5)
DOI: 10.17632/nghf59hf4s.1
title: Subbanna_et_al_2024_source_data

description: Source data for Subbanna et al (2024), "A quantitative intracellular peptide binding assay reveals recognition determinants and context dependence of short linear motifs".
Contents (folder): Source data and processed data from competitive growth assays and next generation sequencing.
Subfolders:
&gt; Figure_3_4_S2_TNKS2ARC4-motifs_full-DMS
&gt; Figure_5_MDM2-motifs_full-DMS
&gt; Figure_6_S3_WW-motifs_full-DMS
&gt; Figure_7_WW-motif_single-position-DMS
&gt; Figure_8_PSSM-sums_WW-motifs
DOI: 10.17632/7wbnsxn2y6.1
title: LINF_350035400

description: trypanothione-dependent glyoxalase I | GLO1
Leishmania infantum (strain JPCM5)
DOI: 10.17632/ry6g9cc5bw.2
title: Synthetic Degradation Dataset of 12 LG M50 Batteries

description: A synthetic degradation dataset of 12 LG M50 cells was generated using physics-based models. 

Battery models: Underlying battery states are simulated using a Doyle-Fuller-Newman (DFN) model, and four degradation mechanisms (i.e., solid electrolyte interphase growth, particle cracking, lithium plating, and stress-driven loss of active material) are coupled with the DFN model in Python Battery Mathematical Modeling (PyBaMM) library. 
Model parameters: The DFN model parameters (i.e., electrode parameters, electrolyte parameters, and separator parameters) are taken from Chen et al. [1] for a commercial NMC 811/graphite-SiOx cylindrical cell manufactured by LG Chem (INR21700 M50, 5 Ah). The parameters of the degradation models in PyBaMM are taken from multiple sources and can be found in the supplementary information of Ref. [2]. Three degradation parameters (i.e., cracking rate in Paris' law, decay rate for dead lithium formation, and loss of active anode material proportional term) were intentionally varied.
Cycling protocols: The cells are charged with a 1C constant current-constant voltage (CC-CV) step to 4.2 V and a current cut-off of C/100 (50 mA) followed by a rest for 5 minutes. Subsequently, the cells are discharged at 1C to 2.5 V with a current cut-off of C/100 (50 mA) and then at rest for 5 minutes. The ambient temperature is set to be constant at 25°C.

References
[1] Chen CH, Planella FB, O’regan K, Gastol D, Widanage WD, Kendrick E. Development of experimental techniques for parameterization of multi-scale lithium-ion battery models. Journal of The Electrochemical Society. 2020 May 15;167(8):080534.
[2] O'Kane SE, Ai W, Madabattula G, Alonso-Alvarez D, Timms R, Sulzer V, Edge JS, Wu B, Offer GJ, Marinescu M. Lithium-ion battery degradation: how to model it. Physical Chemistry Chemical Physics. 2022;24(13):7909-22.
DOI: 10.17632/b99r3tdcn3.1
title: Data for "Faithful interpretation of protein structures through weighted persistent homology improves evolutionary distance estimation"

description: The dataset contains: (1) The 18 Malate dehydrogenase sequences of Methanococcales, (2) The maximum-likelihood tree inferred with the 18 Malate dehydrogenase sequences of Methanococcales, and (3) the inferred ancestral sequences.
DOI: 10.17632/t43h8xp7zr.1
title: Spatial Patterns and Evolution of Urban Tourism and Leisure based on POI Data：A Case Study of Wuhan, China

description: This file contains all the data used in the empirical analysis of this article
DOI: 10.17632/z3yc9z84tk.4
title: Monitoring of structural performance of cracked reinforced concrete using DIC and CMfM

description: Complete information on data collection and the dataset can be found in the paper:
A. Sjölander, V. Belloni, V. Peterson, J. Ledin. Experimental dataset to assess the structural performance of cracked reinforced concrete using Digital Image Correlation techniques with fixed and moving cameras. Data in Brief. Volume 51, December 2023, 109703.

Version History.
v1. Upload of original data.
v2. Change of title of dataset to comply with new title of method, DfM changed to CMfM.
v3. Editorial changes of title.
v4. Added link to Paper