cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.19749961.v1
title: Processed extended meta-analysis of hydraulic functional traits

description: This file includes the processed data from our extended meta-analysis of tropical tree and liana hydraulic functional traits. Other functionals traits were included if they were reported in the publications meeting the criteria of our extended meta-analysis for reporting hydraulic functional traits. Columns are as follows: Growth.form: Either tree or liana AccSpeciesName: Accepted species name from the TRY database HV (cm/cm2): Huber value in cm/cm<sup>2</sup> <sup></sup>Al/As (m2/cm2): Leaf area:sapwood area ratio in m<sup>2</sup>/cm<sup>2</sup> HV (10^4, m2/m2): Huber value in 10<sup>4</sup> m<sup>2</sup>/<sup></sup>m<sup>2</sup> N (g/kg): Mass-based leaf nitrogen content in g/kg WD (g/cm3): Wood density in g/cm<sup>3</sup> Dv (um): Vessel diameter in um Denisty (mm-2): Vessel density in mm<sup>-2</sup> Transpiration (mmol/m2/s): Transpiration rate in mmol/m<sup>2</sup>/s Annual psi min: Annual minimum leaf water potential in MPa Midday psi leaf (Mpa): Midday leaf water potential in MPa WUE (umol/mol): Water use efficiency in umol/mol Gs (mol/m2/s): Stomatal conductance in mol/m<sup>2</sup>/s Aarea (umol/m2/s): Area-based photosynthetic rate in umol/m<sup>2</sup>/s LDMC (g/g): Leaf dry matter content in g/g SLA (cm2/g): Specific leaf area in cm<sup>2</sup>/g MVL (cm): Maximum vessel length in cm MOR (N/mm2): Modulus of rupture in N/mm<sup>2</sup> BVD (um): 20 biggest vessel lumen diameter in um MVD (um): Mean vessel lumen diameter in um WLR (um/um): Wall-lumen ratio in um/um Vessel%: Vessel percentage in % Parenchyma%: Parenchyma percentage in % Fiber%: Fiber percentage in % Kl (mmol/m/s/Mpa): Maximum leaf-specific hydraulic conductivity in mmol/m/s/MPa Dh (um): Hydraullically weighted vessel diameter in um PLC (%): Percent loss of conductivity in % Midday K (kg/m/s/Mpa): Midday stem sapwood-specific conductivity in kg/m/s/MPa Osmotic potential at full turgor (Mpa): Osmotic potential at full turgor in MPa Leaf water potential at turgor loss point (Mpa): Leaf water potential at turgor loss point in MPa Bulk modulus of elasticity (Mpa): Bulk modulus of elasticity in MPa Absolute capacitance (mol/m2/Mpa): Absolute capacitance in mol/m<sup>2</sup>/MPa K: Stem-specific maximum hydraulic conductivity (units variable) Units_K: Units associated with value in the same row of the column K P50: Pressure at which 50% of hydraulic function is lost in MPa Units_P50: Units associated with value in the same row of the column P50 (always MPa) Slope: Slope of the PLC curve in %/MPa Units_Slope: Units associated with value in the same row of the column Slope (always %/MPa) Source: Abbreviated citations for manuscripts associated with the data. See Supplementary Table 5 of the associated manuscript for complete citations. Note that citations of all the references listed in Supplementary Table 5 of the associated manuscript (Willson et al.) should accompany any use of this dataset.
DOI: 10.17632/ndxkj565g6
title: Software FeaSepReg for Calculating the Feasible Separation Region for Ternary Mixtures

description: The FeaSepReg software calculates the Feasible Separation Region (FSR) for continuous distillation in trayed and packed columns with a single feed and products as either a saturated liquid or vapor. It takes into account the condenser and reboiler types as well as the feed quality. The software has been developed in Matlab, and its use is described in the manual. Excel files containing sample data are attached.
DOI: 10.17632/h2ptgh99p4
title: English Punjabi Aligned Nouns Dataset

description: Data-set consists of English-Punjabi Aligned data of Nouns.
DOI: 10.6084/m9.figshare.27322830.v1
title: Additional file 2 of Inclusion of unexposed clusters improves the precision of fixed effects analysis of stepped-wedge cluster randomized trials with binary and count outcomes

description: Additional File 2. R code for simulation, analysis, and plotting
DOI: 10.17632/4hchdd2vwh
title: Data for: The planktonic foraminiferal response to the Paleocene Eocene Thermal Maximum on the Atlantic Coastal Plain

description: Table S1. Table of samples and full species counts for all BR and CD samples (including the dissolution zone). Counts are number of individuals counted in each sample. For totals &lt;200, one full picking tray was counted. Separation of tables denote location of CIE based on bulk carbonate δ13C. Table S2. Summary of diversity, % fragmentation, and P/B ratios (presented in %) based on counts at CamDor and Bass River. Pre-CIE and CIE samples noted. Table S3. Table of samples and species groups for Bass River and CamDor samples that were included in the multivariate analysis. Counts are number of individuals from each species group counted in each sample. Table S4. Table of sample depths that correspond to the sample numbers in Figure 9 for CamDor, Bass River, and Site 1209. Depths are in meters.
DOI: 10.17632/kbjz4k5649
title: Data for: The Extraction of Campbell Diagrams from the Dynamical System Representation of a Foil-Air Bearing Rotor Model

description: First file: matrices used in rotor equations 2(e) for section 4 case study; H_VP is the modal matrix in eq. (4) augmented over 20 points that have z coordinates defined in the 20 by 1 vector z. Second file: matrices used in the FFSMM equations (10(a)) for section 5 case study; the names of the Matlab variables follow the nomenclature of reference [30] (Bin Hassan, Bonello (2017) "A new modal-based approach...", Journal of Sound and Vibration). Third file: matrices used in rotor equations 2(e) for section 6 case study; H_VP is the modal matrix in eq. (4) augmented over 20 points that have z coordinates defined in the 20 by 1 vector z.
DOI: 10.6084/m9.figshare.25397761.v1
title: Explicit Dynamics analysis of Vessel Fender

description: This is an Explicit Dynamics analysis of vessel fender performance under impacted Vessel.also, different geometry designs are included which can be executed.Software version ANSYS 2024 R1
DOI: 10.15468/dl.yxdrw8
title: Occurrence Download

description: A dataset listing the 3872 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((149.678 -37.506,150.038 -37.506,150.038 -37.146,149.678 -37.146,149.678 -37.506))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year 2000-2025"
 ]
}

 The dataset's 3872 records were derived from 81 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009287-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/rzfd64432m
title: Taxation Digital Economy

description: Evolution of the taxation value of digital economy.
DOI: 10.17632/t6w796prvt
title: Supplemental Table 1: Types of treatment for primary, non-metastatic cutaneous squamous cell carcinomas that developed poor outcomes

description: This table details the types of curative therapy used to treat each primary, non-metastatic cutaneous squamous cell carcinoma that led to poor outcomes (n=782) in this multi-center, multinational dataset of over 23,000 CSCCs from 12 institutions within the United States, Spain, and Brazil.
DOI: 10.5281/zenodo.15204587
title: HAD-FCDR25: Multi-Source Flood, Crop Damage, and Recovery Dataset for Hadejia, Nigeria

description: Dataset for the research article "Improved Integrated Framework for Flooded Crop Damage and Recovery Assessment: A Multi-Source Earth Observation and Participatory Mapping in Hadejia, Nigeria". It contains detailed geospatial data dervied from multi-source Earth Observation (EO) data and participatory data used to assess the extent of flooding, crop damage, and recovery during the 2020 and 2022 flood events in Hadejia, Nigeria. 
description: DATA STRUCTURE / FOLDER ARRANGEMENT

 

+ Crop_Recovery_Layers

    • Crop recovery layers in Geotiff and shapefile formats.

 

+ Crop_Recovery_Training_Validation

    • Labelled sample points for crop recovery classification in shapefile format.

    • Composite images for crop recovery classification in Geotiff format. 

 

+ Flood_Accuracy_Assessment

    • Sample points for flood extent accuracy assessment.

    • Flood extent derived from Sentinel-2(S-2) satellite image using MNDWI for accuracy assessment in Geotiff format.

 

+ Flood_Extent_Layers_RF_S1_and_PS

    • Flood extent and progression layers derived from the PlanetScope(PS) and Sentinel-1(S-1) satellite images using Machine           Learning(ML) in Geotiff and shapefile formats.

 

+ Flood_Frequency_Layers

    • Flood frequency layers in Geotiff format.

 

+ Flood_Training_Validation_Samples

    • Labelled datasets used for the Machine Learning(ML) flood extent classification in shapefile format. 

 

+ Flooded_Cropland_Layers

    • Flooded cropland extents in Geotiff and shapefile formats.

 

+ Land_Cover_Layers

    • Land cover layer derived from the PlanetScope(PS) satellite image in Geotiff and shapefile formats.

 

+ Perm_Water_Layer

   • Extent of the permanent water in shapefile format.

 

+ QGIS_Layer_Styles

   • Style for the layers in QGIS QML format.

 

+ Study_Area_Shp

   • Study area extent in shapefile format.

 

+ Survey_Data

   • Participatory mapping/survey data in CSV and shapefile formats.
DOI: 10.5281/zenodo.15204588
title: HAD-FCDR25: Multi-Source Flood, Crop Damage, and Recovery Dataset for Hadejia, Nigeria

description: Dataset for the research article "Improved Integrated Framework for Flooded Crop Damage and Recovery Assessment: A Multi-Source Earth Observation and Participatory Mapping in Hadejia, Nigeria". It contains detailed geospatial data dervied from multi-source Earth Observation (EO) data and participatory data used to assess the extent of flooding, crop damage, and recovery during the 2020 and 2022 flood events in Hadejia, Nigeria. 
description: DATA STRUCTURE / FOLDER ARRANGEMENT

 

+ Crop_Recovery_Layers

    • Crop recovery layers in Geotiff and shapefile formats.

 

+ Crop_Recovery_Training_Validation

    • Labelled sample points for crop recovery classification in shapefile format.

    • Composite images for crop recovery classification in Geotiff format. 

 

+ Flood_Accuracy_Assessment

    • Sample points for flood extent accuracy assessment.

    • Flood extent derived from Sentinel-2(S-2) satellite image using MNDWI for accuracy assessment in Geotiff format.

 

+ Flood_Extent_Layers_RF_S1_and_PS

    • Flood extent and progression layers derived from the PlanetScope(PS) and Sentinel-1(S-1) satellite images using Machine           Learning(ML) in Geotiff and shapefile formats.

 

+ Flood_Frequency_Layers

    • Flood frequency layers in Geotiff format.

 

+ Flood_Training_Validation_Samples

    • Labelled datasets used for the Machine Learning(ML) flood extent classification in shapefile format. 

 

+ Flooded_Cropland_Layers

    • Flooded cropland extents in Geotiff and shapefile formats.

 

+ Land_Cover_Layers

    • Land cover layer derived from the PlanetScope(PS) satellite image in Geotiff and shapefile formats.

 

+ Perm_Water_Layer

   • Extent of the permanent water in shapefile format.

 

+ QGIS_Layer_Styles

   • Style for the layers in QGIS QML format.

 

+ Study_Area_Shp

   • Study area extent in shapefile format.

 

+ Survey_Data

   • Participatory mapping/survey data in CSV and shapefile formats.
DOI: 10.17632/9wgnrz73vd
title: A Study on Customer Perception Regarding Marketing Strategies Adopted by HDFC Life Insurance

description: Life insurance is one of the most difficult products to sell. Though one might debate its long-term benefits, in today's materialistic society, customers are becoming increasingly careful about their investments and the returns they receive. Customers were made aware of several features of a life insurance product and their individual opinions regarding the policy in this study. The different features of a life insurance plan might be explained in terms of their relevance to policyholders. The study aims to understand the view point of customers regarding marketing strategies so as to know its effectiveness for devising the appropriate one in days to come. Keywords: Marketing Strategies, Insurance, Customer
DOI: 10.17632/fsj4hpv4bp
title: DISTRIBUCIÓN Y ESTIMACIÓN DEL TAMAÑO DE LA POBLACIÓN A PARTIR DE LA DENSIDAD

description: To study the spatial distribution of individuals in a population, it is necessary to keep in mind the space conditions habitable by the organisms, since according to this two behaviors can be observed: a) When organisms are confined to specific habitable sites, for example, caterpillars on a plant stem, ectoparasitic mites on the body of a host, terrestrial isopods under stones or fallen logs, etc., the space is said to be habitable is DISCONTINUOUS or DISCRETE (Maciel-Mata et al., 2015). b) When the entire habitat offers appropriate conditions for the presence of organisms, for example, edaphic micro arthropods, plankton in fresh water, rodents in a grassland, etc., the habitable space is considered CONTINUOUS (Maciel-Mata et al., 2015). This data set helps to know the type of distribution by estimating the size of two simulated populations, uses quadrants, statistical tests, and extrapolation of results to determine the distribution of organisms and evaluate the estimation of population size as an analysis tool in ecological restoration.
DOI: 10.17632/mcdw3sp5vw
title: Data for: An Orbital Comparison of a Late Mantling Unit on Aeolis Mons with Other Erosion-Resistant Strata Explored by MSL in Gale Crater, Mars

description: Data for the publication "An Orbital Comparison of a Late Mantling Unit on Aeolis Mons with Other Erosion-Resistant Strata Explored by MSL in Gale Crater, Mars" by Amanda Rudolph et al., submitted to the Journal of Geophysical Research.
(1) ArcGIS shapefiles of marker band package and mantling unit tracings that were conducted manually using HiRISE and CTX images
(2) Calculated band parameters from CRISM spectra
(3) Ratioed MTRDR cubes used for collecting spectra anywhere within a single MTRDR cube
(4) Ratioed TRDR spectra used for select ROIs in TRDR cubes
(5) Regions-of-interest for all spectra used in manuscript used on projected MTRDR and TRDR CRISM cubes in ENVI
DOI: 10.6084/m9.figshare.25598484.v1
title: Universal Rapid Weather Prediction Model (Sonagi Model) Forecast Current Result

description: Universal Rapid Weather Prediction Model (Sonagi Model) Forecast

(Based on the data starting 264 hours before the current date, predicting 10 days after current day)

https://github.com/flyingtext/sonagi-model

somehowme@gmail.com;flyingtext@nate.com
DOI: 10.17632/7b3jndz8ht
title: A generalized regularization method for nonlinear ill-posed problems enhanced for nonlinear regularization terms ☆ ☆ This program can be downloaded from the CPC Program Library under catalogue identifier: http://cpc.cs.qub.ac.uk/summaries/ADOQ

description: Abstract In many fields of science one is interested in functions which are not directly accessible by experiment but have to inferred from an experimentally measurable quantity by solving an inverse problem. In general, this constitutes an ill-posed problem. Therefore so-called regularization methods are necessary: Besides the constraint from the experimental data these methods impose additional information on the solution, denoted as prior information and modeled by the so-called regularization term... Title of program: GENEREG Catalogue Id: ACGH_v3_0 [ADOQ] Nature of problem Many physically interesting functions are not directly accessible by experiments. However, they often can be inferred from an experimentally measurable quantity by solving an inverse problem. If the inverse problem is ill-posed, so-called regularization methods are necessary which impose prior information upon the solution. This prior information is modeled by the regularization term which may be nonlinear. Versions of this program held in the CPC repository in Mendeley Data ACGH_v1_0; FTIKREG; 10.1016/0010-4655(92)90132-I ACGH_v2_0; NLREG; 10.1016/0010-4655(93)90187-H ACGH_v3_0; GENEREG; 10.1016/S0010-4655(01)00217-X This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
DOI: 10.17632/j35fzdj7nw
title: Data from The outcome of fluocinolone acetonide intravitreal implant is predicted by the response to dexamethasone implant in diabetic macular oedema.

description: The outcome of fluocinolone acetonide intravitreal implant is predicted by the response to dexamethasone implant in diabetic macular oedema.
DOI: 10.1038/s41433-020-01373-1
DOI: 10.17632/xvmmp75xvd
title: Sustainable Coastal Tourism 2

description: Special economic zone established in Tanjung Kelayang aims at the development of coastal tourism. We conducted a survey to assess how sustainably this development is managed.
DOI: 10.17632/3tsx8x3kc8
title: A Decision Model for Programming Language Ecosystem Selection

description: In this page, we report the captured knowledge from experts interviews and document analysis.
DOI: 10.15468/dl.86z44f
title: Occurrence Download

description: A dataset containing 2171 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Observation, Human Observation, Machine Observation, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Tachinus rufipes (Linnaeus, 1758)"
 ]
}

 The dataset includes 2171 records from 70 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009292-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.c.3606911_d7.v1
title: Additional file 7: Table S4. of Elucidating the molecular physiology of lantibiotic NAI-107 production in Microbispora ATCC-PTA-5024

description: Description, functional classification, abundance profile and mass spectrometry identification parameters of differentially represented proteins due to NAI-107 exposure in Microbispora ATCC-PTA-5024 RP0 strain. (XLSX 32 kb)
DOI: 10.6084/m9.figshare.28163432.v2
title: Supporting information for <i>Warming during different life stages has distinct impacts on host resistance ecology and evolution</i>

description: This are codes and data supporting the findings in paper <i>Warming during different life stages has distinct impacts on host resistance ecology and evolution</i>.
DOI: 10.6084/m9.figshare.27826518.v1
title: Dataset Lagu Indonesia 70 dan 80 Era.xlsx

description: is a dataset of Indonesian songs from the 70s and 80s consisting of songs. The music samples selected purposively are from the following categories:Pop: Chrisye, The Rollies, Fariz RM, Koes Plus,<br>Balada/Country: Ebiet G. Ade, Iwan Fals<br>Rock: Achmad Albar,<br>Dangdut/Melayu: Rhoma Irama
DOI: 10.6084/m9.figshare.5501332.v1
title: DWI MRI, T2 MRI, MMP hemodynamics MSOT in tMCAO mouse model

description: Data set for measurement in tMCAO mouse model and sham-operated model after occlusion and 48 h after reperfusion.1) in vivo DWI MRI,2) in vivo T2 MRI,3) in vivo MMP measurement by using MSOT4) in vivo oxygenation measurement by using MSOT4) Postmortem TTC staining5) Postmortem NIRF staining for MMP<br>Data set for phantom experiment MMPsense probe measurement using MSOT
DOI: 10.17632/ys8tmvcxs8
title: Evaluation of connectivity characteristics on the permeability 2 of two-dimensional fracture networks using geological entropy

description: two-dimensional fracture networks model Entropy Scale
DOI: 10.17632/zzm3ft89s5
title: Hani M. Abdelsalam

description: Solitary and Synergistic Influences of Eugenol And Curcumin Against Bronchial Asthma In Male Rats
DOI: 10.17632/8z29gzf6rd
title: Data for Printability Prediction in Projection Two-Photon Lithography via Machine Learning Based Surrogate Modeling of Photopolymerization

description: Data description 
This dataset presents the raw and augmented data that were used to train the machine learning (ML) models for classification of printing outcome in projection two-photon lithography (P-TPL). P-TPL is an additive manufacturing technique for the fabrication of cm-scale complex 3D structures with features smaller than 200 nm. The P-TPL process is further described in this article: “Saha, S. K., Wang, D., Nguyen, V. H., Chang, Y., Oakdale, J. S., and Chen, S.-C., 2019, "Scalable submicrometer additive manufacturing," Science, 366(6461), pp. 105-109.” This specific dataset refers to the case wherein a set of five line features were projected and the printing outcome was classified into three classes: ‘no printing’, ‘printing’, ‘overprinting’. 
 
Each datapoint comprises a set of ten inputs (i.e., attributes) and one output (i.e., target) corresponding to these inputs. The inputs are: optical power (P), polymerization rate constant at the beginning of polymer conversion (kp-0), radical quenching rate constant (kq), termination rate constant at the beginning of polymer conversion (kt-0), number of optical pulses, (N), kp exponential function shape parameter (A), kt exponential function shape parameter (B), quantum yield of photoinitiator (QY), initial photoinitiator concentration (PIo), and the threshold degree of conversion (DOCth). The output variable is ‘Class’ which can take these three values: -1 for the class ‘no printing’, 0 for the class ‘printing’, and 1 for the class ‘overprinting’. 

The raw data (i.e., the non-augmented data) refers to the data generated from finite element simulations of P-TPL. The augmented data was obtained from the raw data by (1) changing the DOCth and re-processing a solved finite element model or (2) by applying physics-based prior process knowledge. For example, it is known that if a given set of parameters failed to print, then decreasing the parameters that are positively correlated with printing (e.g. kp-0, power), while keeping the other parameters constant would also lead to no printing. Here, positive correlation means that individually increasing the input parameter will lead to an increase in the amount of printing. Similarly, increasing the parameters that are negatively correlated with printing (e.g. kq, kt-0), while keeping the other parameters constant would also lead to no printing. The converse is true for those datapoints that resulted in overprinting. 

The 'Raw.csv' file contains the datapoints generated from finite element simulations, the 'Augmented.csv' file contains the datapoints generated via augmentation, and the 'Combined.csv' file contains the datapoints from both files. The ML models were trained on the combined dataset that included both raw and augmented data.
DOI: 10.34740/kaggle/ds/7298852
title: Stock Market Analysis