cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48597/8v7h-yt2m
title: Measurement of Nitrogen_dioxide at Birkenes II

description: Measurement of Nitrogen_dioxide at Birkenes II
DOI: 10.48597/gr8g-26cv
title: Nitrogen_dioxide at Birkenes II

description: Measurement of Nitrogen_dioxide at Birkenes II
DOI: 10.48597/p3ch-pzeg
title: Measurement of Nitrogen_dioxide at Birkenes II

description: Measurement of Nitrogen_dioxide at Birkenes II
DOI: 10.48597/rpts-mnfh
title: Measurement of Nitrogen_dioxide at Birkenes II

description: Measurement of Nitrogen_dioxide at Birkenes II
DOI: 10.48597/ykd6-52t8
title: Measurement of Nitrogen_dioxide at Birkenes II

description: Measurement of Nitrogen_dioxide at Birkenes II
DOI: 10.48597/zxy5-anzz
title: Measurement of Nitrogen_dioxide at Birkenes II

description: Measurement of Nitrogen_dioxide at Birkenes II
DOI: 10.48597/9wxn-x2p6
title: Measurement of Nitrogen_dioxide at Tustervatn

description: Measurement of Nitrogen_dioxide at Tustervatn
DOI: 10.48597/adgu-h4c8
title: Measurement of Nitrogen_dioxide at Tustervatn

description: Measurement of Nitrogen_dioxide at Tustervatn
DOI: 10.48597/aw29-p93x
title: Measurement of Nitrogen_dioxide at Tustervatn

description: Measurement of Nitrogen_dioxide at Tustervatn
DOI: 10.48597/cz8m-yhau
title: Measurement of Nitrogen_dioxide at Tustervatn

description: Measurement of Nitrogen_dioxide at Tustervatn
DOI: 10.48597/d78u-2n4d
title: Nitrogen_dioxide at Kårvatn

description: Measurement of Nitrogen_dioxide at Kårvatn
DOI: 10.48597/kpjw-paqr
title: Measurement of Nitrogen_dioxide at Kårvatn

description: Measurement of Nitrogen_dioxide at Kårvatn
DOI: 10.48597/r6mf-wsfg
title: Measurement of Nitrogen_dioxide at Tustervatn

description: Measurement of Nitrogen_dioxide at Tustervatn
DOI: 10.48597/ugx6-mpcb
title: Measurement of Nitrogen_dioxide at Tustervatn

description: Measurement of Nitrogen_dioxide at Tustervatn
DOI: 10.48597/xyev-ywms
title: Nitrogen_dioxide at Tustervatn

description: Measurement of Nitrogen_dioxide at Tustervatn
DOI: 10.48597/25bn-bbez
title: Measurement of Nitrogen_dioxide at Kårvatn

description: Measurement of Nitrogen_dioxide at Kårvatn
DOI: 10.48597/7x2v-zw65
title: Measurement of Nitrogen_dioxide at Kårvatn

description: Measurement of Nitrogen_dioxide at Kårvatn
DOI: 10.48597/abwb-q594
title: Measurement of Nitrogen_dioxide at Kårvatn

description: Measurement of Nitrogen_dioxide at Kårvatn
DOI: 10.48597/gysr-r77h
title: Measurement of Nitrogen_dioxide at Kårvatn

description: Measurement of Nitrogen_dioxide at Kårvatn
DOI: 10.48597/kt5p-ecy8
title: Measurement of Nitrogen_dioxide at Hurdal

description: Measurement of Nitrogen_dioxide at Hurdal
DOI: 10.48597/zckz-taca
title: Measurement of Nitrogen_dioxide at Kårvatn

description: Measurement of Nitrogen_dioxide at Kårvatn
DOI: 10.48597/25pu-nnc6
title: Measurement of Nitrogen_dioxide at Hurdal

description: Measurement of Nitrogen_dioxide at Hurdal
DOI: 10.48597/2czn-f6ez
title: Measurement of Nitrogen_dioxide at Hurdal

description: Measurement of Nitrogen_dioxide at Hurdal
DOI: 10.48597/6qdx-6g7w
title: Measurement of Nitrogen_dioxide at Hurdal

description: Measurement of Nitrogen_dioxide at Hurdal
DOI: 10.48597/ayt9-y6jd
title: Nitrogen_dioxide at Hurdal

description: Measurement of Nitrogen_dioxide at Hurdal
DOI: 10.48597/qp7b-xzev
title: Measurement of Nitrogen_dioxide at Hurdal

description: Measurement of Nitrogen_dioxide at Hurdal
DOI: 10.48597/ttrx-wetc
title: Measurement of Nitrogen_dioxide at Hurdal

description: Measurement of Nitrogen_dioxide at Hurdal
DOI: 10.48597/wdpb-78w4
title: Measurement of Nitrogen_dioxide at Hurdal

description: Measurement of Nitrogen_dioxide at Hurdal
DOI: 10.48597/aj25-gh99
title: Measurement of Nitrogen_dioxide at Tustervatn

description: Measurement of Nitrogen_dioxide at Tustervatn
DOI: 10.48597/dv5r-pcth
title: Measurement of Nitrogen_dioxide at Birkenes II

description: Measurement of Nitrogen_dioxide at Birkenes II
DOI: 10.48597/qg6v-jjh9
title: Measurement of Nitrogen_dioxide at Kårvatn

description: Measurement of Nitrogen_dioxide at Kårvatn
DOI: 10.6084/m9.figshare.28667843
title: Dataset of Brand Image and Trust as Drivers of Brand Loyalty

description: In an era of globalization and advancing digitalization, the automotive industry faces intense competition, necessitating a strong focus on brand image and brand trust to secure customer loyalty. This study investigates the relationships between Brand Image, Brand Trust, and Brand Loyalty in Indonesia’s automotive industry, focusing on PT Toyota Astra Motor. Using Social Exchange Theory (SET) and Partial Least Squares Structural Equation Modeling (PLS-SEM), data from 126 respondents were analysed. Results show that Brand Trust strongly influences Brand Loyalty (β = 0.694, p = 0.000), while Brand Image affects Brand Loyalty (β = 0.276, p = 0.000), primarily through its impact on Brand Trust (β = 0.686, p = 0.000). These findings highlight that while a positive brand image attracts consumers, trust is key to sustaining loyalty. Managerially, Indonesian car manufacturers should enhance trust through product quality, transparency, and after-sales services, while strengthening brand image via CSR and digital engagement. Limitations include a cross-sectional design and a geographically limited sample (East Jakarta), affecting generalizability. Future research should expand sampling, adopt longitudinal methods, and integrate qualitative insights to explore evolving consumer-brand relationships
DOI: 10.15468/dl.e5enkn
title: Occurrence Download

description: A dataset containing 49266 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Calliergon (Sull.) Kindb."
 ]
}

 The dataset includes 49266 records from 359 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001831-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15041544
title: Towards a Typology of Endoclitics

description: This is a draft of my conference talk prepared for the 'Typology of Morphosyntactic Parameters 2016' conference (Moscow, 12-14 October 2016). I discuss the perspectives of developing a parametric theory of endoclitics and offer empiric generalizations made on the basis of Udi (two dialects), Degema, Gban, Pashto, Ossetic, Gothic, Archaic Latin, European Portuguese, Modern Russian, Old Czech. I also discuss Warlpiri converbs. The main claim is that endoclitics exist, but endoclisis is not triggered by any inherent features of clitics per se. Endoclisis is triggered by deviating behaviour of some morphological clitic bases in dedicated clausal positions where they are subject to reanalysis. In this case, insertion of endoclitics from the set {Cl-} is possible. With other clitic basis and in different syntactic positions the clitics from {Cl-} exhibit the features of ordinary proclitics vs enclitics in the same language. Endoclitic-only languages do not exist.
DOI: 10.5281/zenodo.15041543
title: Towards a Typology of Endoclitics

description: This is a draft of my conference talk prepared for the 'Typology of Morphosyntactic Parameters 2016' conference (Moscow, 12-14 October 2016). I discuss the perspectives of developing a parametric theory of endoclitics and offer empiric generalizations made on the basis of Udi (two dialects), Degema, Gban, Pashto, Ossetic, Gothic, Archaic Latin, European Portuguese, Modern Russian, Old Czech. I also discuss Warlpiri converbs. The main claim is that endoclitics exist, but endoclisis is not triggered by any inherent features of clitics per se. Endoclisis is triggered by deviating behaviour of some morphological clitic bases in dedicated clausal positions where they are subject to reanalysis. In this case, insertion of endoclitics from the set {Cl-} is possible. With other clitic basis and in different syntactic positions the clitics from {Cl-} exhibit the features of ordinary proclitics vs enclitics in the same language. Endoclitic-only languages do not exist.
DOI: 10.6084/m9.figshare.28667786
title: Beijing historical maps

description: Totally 10 historical maps of Beijing from 1861 to 1950. Maps have been georeferenced with Beijing OSM shapefile by the BCL student member HE Li in Nov. 17, 2013.Source of historical maps: The Library of Congress, U.S<br>Format: Tiff for spatial-matched maps and Jpeg for original maps<br>
DOI: 10.5281/zenodo.11080382
title: Additional data for "Settling velocities of tire and road wear particles: Analyzing finely graded density fractions of samples from a road simulator and a highway tunnel"

description: This repository provides additional files for the publication "Settling velocities of tire and road wear particles: Analyzing finely graded density fractions of samples from a road simulator and a highway tunnel" by Stefan Dittmar, Steffen Weyrauch, Thorsten Reemtsma, Paul Eisentraut, Korinna Altmann, Aki Sebastian Ruhl and Martin Jekel (DOI: tba).

It contains:- single particle raw data from settling experiments (1_settling_data.zip)- cumulative distributions of settling velocity and particle size for each investigated density fraction of both samples (2_measured_distributions.zip)- composed cumulative distributions of settling velocity and particle size for incorporated tire material/TRWP from both samples (3_composed_distributions.zip)- Python script to compute composed distributions (similar to 3) corrected for water properties differing from the experimental conditions (T=15 °C, salinity=0 g/kg)(4_correct_temperature_salinity.zip)

Please consider the included readme files (0_README{...}.txt) and revisit main publication and supplement information for further context on this data set, especially when you want to implement the data (e.g. from 3_composed_distributions) or generate corrected composed distributions via the Python script 4_correct_temperature_salinity.py yourself to be used in future studies.

Please contact Stefan Dittmar (stefan.dittmar@tu-berlin.de), if you have questions in that regard.
DOI: 10.5281/zenodo.11080383
title: Additional data for "Settling velocities of tire and road wear particles: Analyzing finely graded density fractions of samples from a road simulator and a highway tunnel"

description: This repository provides additional files for the publication "Settling velocities of tire and road wear particles: Analyzing finely graded density fractions of samples from a road simulator and a highway tunnel" by Stefan Dittmar, Steffen Weyrauch, Thorsten Reemtsma, Paul Eisentraut, Korinna Altmann, Aki Sebastian Ruhl and Martin Jekel (DOI: tba).

It contains:- single particle raw data from settling experiments (1_settling_data.zip)- cumulative distributions of settling velocity and particle size for each investigated density fraction of both samples (2_measured_distributions.zip)- composed cumulative distributions of settling velocity and particle size for incorporated tire material/TRWP from both samples (3_composed_distributions.zip)- Python script to compute composed distributions (similar to 3) corrected for water properties differing from the experimental conditions (T=15 °C, salinity=0 g/kg)(4_correct_temperature_salinity.zip)

Please consider the included readme files (0_README{...}.txt) and revisit main publication and supplement information for further context on this data set, especially when you want to implement the data (e.g. from 3_composed_distributions) or generate corrected composed distributions via the Python script 4_correct_temperature_salinity.py yourself to be used in future studies.

Please contact Stefan Dittmar (stefan.dittmar@tu-berlin.de), if you have questions in that regard.
DOI: 10.5281/zenodo.15088149
title: Additional data for "Settling velocities of tire and road wear particles: Analyzing finely graded density fractions of samples from a road simulator and a highway tunnel"

description: This repository provides additional files for the publication "Settling velocities of tire and road wear particles: Analyzing finely graded density fractions of samples from a road simulator and a highway tunnel" by Stefan Dittmar, Steffen Weyrauch, Thorsten Reemtsma, Paul Eisentraut, Korinna Altmann, Aki Sebastian Ruhl and Martin Jekel (DOI: tba).

It contains:- single particle raw data from settling experiments (1_settling_data.zip)- cumulative distributions of settling velocity and particle size for each investigated density fraction of both samples (2_measured_distributions.zip)- composed cumulative distributions of settling velocity and particle size for incorporated tire material/TRWP from both samples (3_composed_distributions.zip)- Python script to compute composed distributions (similar to 3) corrected for water properties differing from the experimental conditions (T=15 °C, salinity=0 g/kg)(4_correct_temperature_salinity.zip)

Please consider the included readme files (0_README{...}.txt) and revisit main publication and supplement information for further context on this data set, especially when you want to implement the data (e.g. from 3_composed_distributions) or generate corrected composed distributions via the Python script 4_correct_temperature_salinity.py yourself to be used in future studies.

Please contact Stefan Dittmar (stefan.dittmar@tu-berlin.de), if you have questions in that regard.
DOI: 10.15468/dl.duackw
title: Occurrence Download

description: A dataset containing 425 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Androsace tapete Maxim."
 ]
}

 The dataset includes 425 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001832-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jjakm2
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is Chinese Taipei",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Echinotriton andersoni (Boulenger, 1892)"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001833-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t827me
title: Occurrence Download

description: A dataset containing 353 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ethiopia",
 "TaxonKey is Opuntia ficus-indica (L.) Mill."
 ]
}

 The dataset includes 353 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001834-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18150/hszmhd
title: Research data for : Cubic elasticity of porous materials produced by additive manufacturing: experimental analyses, numerical and mean‑field modelling

description: This dataset contains research data used to prepare the publication:Kowalczyk-Gajewska K., Maj M., Bieniek K., Majewski M., Opiela K.C., Zieliński T.G. "Cubic elasticity of porous materials produced by additive manufacturing: experimental analyses, numerical and mean-field modeling". Archives of Civil and Mechanical Engineering, Vol.24 (2024), 34 (22 pages). DOI: 10.1007/s43452-023-00843-z.This research was supported by the National Science Centre (NCN), Poland, under grant agreement 2021/41/B/ST8/04492.All data are provided in columns in ASCII (.txt) files.Files with names starting with the word "ANALYTIC" contain analytical estimations of elastic constants (with respect to the porosity of the material) using Voigt, Mori-Tanaka, or custer method, as specified in the filename. These results were obtained using codes written in MATLAB.Files with names starting with the acronym "FEM" contain results of numercial calculations of elastic constants (with respect to the porosity of the material) using the Finite Element Method. These results were obtained using COMSOL Multiphysics.The acronyms "RC", "BCC", and "FCC" used in the file names stand for "regular cubic", "body-centered cubic", and "face-centered cubic", respectively. They refer to the arrangement of spherical pores in a cubic cell.In each file, the vales of elastic material constants ​​are given in columns in relation to the porosity of the material, which is related to the solid fraction. Porosity and solid fraction are related to the ratio of the pore diameter to the cell edge.Explanation of column names (labels):Dp/Lc = pore diameter to cell edge ratioPorosity = porositySolidFr = solid fractionK = bulk modulusE = Young modulus (isotropy)Ee = Young modulus (along the cell edge)Ed = Young modulus (along the cell diagonal)G = shear modulus (isotropy)Ge = shear modulus (along the cell edge)Ge = shear modulus (along the cell diagonal)nu = Poisson coefficient (isotropy)nue = Poisson coefficient (along the cell edge)nud = Poisson coefficient (along the cell diagonal)
DOI: 10.15468/dl.z7m9eq
title: Occurrence Download

description: A dataset containing 5453 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is Chaimarrornis leucocephalus (Vigors, 1831)"
 ]
}

 The dataset includes 5453 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001835-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cnnm6q
title: Occurrence Download

description: A dataset containing 1289 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Quasipaa boulengeri (Günther, 1889)"
 ]
}

 The dataset includes 1289 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001836-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.25adu7
title: Occurrence Download

description: A dataset containing 1140 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Adenomera marmorata Steindachner, 1867"
 ]
}

 The dataset includes 1140 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001837-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rs5nqq
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Quasipaa delacouri (Angel, 1928)"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001838-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.th2tp9
title: Occurrence Download

description: A dataset containing 1192 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (January, February, March, April, May, June, July, August, September, October, November, December)",
 "OccurrenceStatus is Present",
 "TaxonKey is Herpestes ichneumon (Linnaeus, 1758)",
 "Year 2020-2025"
 ]
}

 The dataset includes 1192 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001839-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5519/qd.06hzni0f
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1725 records)
DOI: 10.15468/dl.b5ysbx
title: Occurrence Download

description: A dataset containing 687 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Liotrigona mahafalya Brooks & Michener, 1988"
 ]
}

 The dataset includes 687 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001840-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nk9r9q
title: Occurrence Download

description: A dataset containing 275 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Quasipaa exilispinosa (Liu & Hu, 1975)"
 ]
}

 The dataset includes 275 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001841-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.33z299
title: Occurrence Download

description: A dataset containing 107174 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Vicia tetrasperma (L.) Schreb., Vicia tetrasperma (L.) Moench, Vicia tetrasperma Moris)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 107174 records from 1408 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001829-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ewrjqe
title: Occurrence Download

description: A dataset containing 908 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Urotriorchis macrourus (Hartlaub, 1855)"
 ]
}

 The dataset includes 908 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058302-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ugmgsq
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Argentina",
 "TaxonKey is Megalastrum crenulans (Fée) A.R.Sm. & R.C.Moran"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0097225-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8wburj
title: Occurrence Download

description: A dataset containing 68 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((107.11512 21.4626,108.49971 17.62836,115.63567 18.85319,122.77162 22.63418,122.77162 29.55712,108.07369 22.42116,107.11512 21.4626))",
 "TaxonKey is Siganus guttatus (Bloch, 1787)",
 "Year 1990-2020"
 ]
}

 The dataset includes 68 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045292-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.