cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14734010
title: Indonesians Perception of Using Crypto for Shopping (Responses CLEAN)

description: Cryptocurrency is increasingly seen as more than just an investment tool, with interest growing in its use as a payment method for everyday transactions. In Indonesia, where digital finance and e-commerce are on the rise, exploring cryptocurrency as a shopping option could open new doors for consumers and businesses alike. This study investigates the factors that influence Indonesians’ interest in using cryptocurrency for shopping, using a model inspired by the Technology Acceptance Model (TAM). We examine variables such as perceived usefulness, ease of use, trust, risk, convenience, social influence, financial knowledge, openness to innovation, and technology awareness. By conducting a survey and analyzing the responses with structural equation modeling, we aim to understand which factors most strongly drive or deter the intention to use cryptocurrency in this context. The results will offer insights that could help guide businesses, developers, and policymakers in promoting cryptocurrency as a legitimate and appealing shopping option in Indonesia’s retail sector.
DOI: 10.5281/zenodo.14734011
title: Indonesians Perception of Using Crypto for Shopping (Responses CLEAN)

description: Cryptocurrency is increasingly seen as more than just an investment tool, with interest growing in its use as a payment method for everyday transactions. In Indonesia, where digital finance and e-commerce are on the rise, exploring cryptocurrency as a shopping option could open new doors for consumers and businesses alike. This study investigates the factors that influence Indonesians’ interest in using cryptocurrency for shopping, using a model inspired by the Technology Acceptance Model (TAM). We examine variables such as perceived usefulness, ease of use, trust, risk, convenience, social influence, financial knowledge, openness to innovation, and technology awareness. By conducting a survey and analyzing the responses with structural equation modeling, we aim to understand which factors most strongly drive or deter the intention to use cryptocurrency in this context. The results will offer insights that could help guide businesses, developers, and policymakers in promoting cryptocurrency as a legitimate and appealing shopping option in Indonesia’s retail sector.
DOI: 10.17632/6t5ks9rm4j.1
title: Creepy-Crawlies of the Arctic Deep Sea: Metazoan Meiobenthic Communities Along a Latitudinal and Bathymetric Transect in the Western Arctic Ocean

description: Sampling was conducted during the HLY2202 cruise (September 4th to October 24th, 2022) aboard the US-American icebreaker USCGC Healy (see cruise report by Ashjian and Grebmeier, 2024). This data set examines four stations along a latitudinal and water-depth transect in the western Arctic Ocean. Latitudes range from 77°N to 90°N and water depth ranges from 1720 m to 4237 m depth.

Deep-sea sediment samples were collected by a multiple corer (MUC). MUC cores were subsampled for meiofauna and an array of biogeochemical and physical environmental parameters: bacterial abundance and biomass, organic carbon (C-org), phospholipids (LIPID), chloroplastic pigment equivalents (CPE), and water content (%H2O). Subsampling was conducted by means of plastic syringes with cut-off ends. Depending on the parameters sampled, 1.2 cm (bacteria, organic carbon, chloroplastic pigment equivalents) and 2.0 cm (meiofauna, phospholipids, water content) diameter syringes were used to subsample the top 3 cm of sediment. Sediment samples were subsequently separated into 1 cm layers for analysis.

Meiofaunal data is shown as densities (individuals per 10 cm2). Mean densities were calculated from three (pseudo-)replicates (two at station 21).

Nematode biomass was calculated with the Andrássy (1956) formula: WW = (L*W2)/Cf, with:
WW [µg] = wet weight
L [µm] = nematode’s length
W [µm] = nematode’s width at widest point
Cf = conversion factor which equals 1.6 * 106.

The dry weight of the nematodes was calculated by using the dry- to wet-weight ratio of 0.25.

Bacteria were separated from the sediment by ultrasound and diluted to a concentration of 1:4000 with a 4% filtered-seawater/formaldehyde solution. Bacterial cells were counted by epifluorescence microscopy to determine the total bacterial number (TBN) (see Meyer-Reil, 1983). An eyepiece graticule was used to determine the biomass per cell (see Grossmann & Reichardt, 1991), which was estimated using a conversion factor of 3.0 x 10-13 g C µm-3 (Børsheim et al., 1990)

Total organic carbon content (C-org) of the sediments was determined with an Eltra CS 800 elemental analyzer. The phospholipid concentration was measured colorimetrically following a chloroform-methanol extraction of the lipids from the sediment (Greiser & Faubel, 1988). Chloroplastic pigments were extracted from the sediment with 90% acetone by homogenization in a Precellys homogenizer and subsequently measured with a Turner Fluorometer (Thiel, 1978). Hydrochloric acid (HCl) was used to differentiate between chlorophyll (CHLA) and its degraded products, phaeopigments (PHAEO). Water content (% H2O) was determined by measuring the difference in weight of wet sediment samples and sediment samples dried at 70°C.
DOI: 10.15468/dl.prtx32
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-110.01063 -45.49604,-81.93565 -45.49604,-81.93565 -25.18079,-110.01063 -25.18079,-110.01063 -45.49604))",
 "HasGeospatialIssue is false",
 "TaxonKey is Squalus mitsukurii Jordan & Snyder, 1903"
 ]
}

 The dataset includes 7 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001059-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/hjp6fchdtx.1
title: Methodology for soil quality assessment

description: This methodology has been used to calculate soil quality index. Minimum data set was identified after PCA. Then linear scoring was done to calculate the index.
DOI: 10.17632/kxwwfx7sr5.1
title: Data for “A universal design equation for assessing sediment control in vegetative filter strips”

description: The data for all figures in the manuscript of "A universal design equation for assessing sediment control in vegetative filter strips".
DOI: 10.17632/p35ww3cw82.1
title: Raw dataset for LRP1 Manuscript

description: The raw dataset for those figures in our original research manuscript entitled “LRP1 prevents high fat diet-induced insulin resistance through USP2 and FoxO1”
DOI: 10.17632/vcccx3k7mv.1
title: 20250124_TUM_BioSE_DR

description: *A novel approach utilizing electrically-conductive membranes (ECMs) for the electrosorptive separation of proteins (BSA and LYZ).
*We highlight the mechanisms of protein electrosorption on ECMs and demonstrate their potential in adsorptive applications.
*The study calculates interfacial force values and discusses the strength of electrostatic interactions using XDLVO calculations.
* We validate the calculations through static adsorption experiments under various degrees of double-layer screening, i.e. various pH and ionic strengths.
*The electrosorption of both proteins is reversible and closely linked to the surface charge.
*Separation factors can be modulated in favor of either protein (BSA or LYZ) by application of different electrical potentials.
DOI: 10.6084/m9.figshare.28151285
title: Code associated with the manuscript "High short tandem repeat mutation recurrence in heat-stressed Arabidopsis thaliana lines" by William B. Reinar, Anne Greulich, Vilde O. Lalun, Melinka A. Butenko, and Kjetill Jakobsen.

description: This repository contains a Python Notebook with code ('arabidopsisGenerationAnalysisBashNotesSubsampling-Copy1.ipynb' used to map, align and perform initial variant calling and quality control of raw reads resulting from the mutation accumulation experiment. The raw reads are available from NCBI Short Read Archive accession: PRJEB70284.The repository also contains:Variant calls from HipSTR (raw and filtered) and GATK4.0.A Python Notebook ('Gen_Pipeline_and_Figures-Copy1.ipynb' with the code used to identify accumulated variants, do statistics and produce figures.<br>
DOI: 10.15468/dl.98d2wr
title: Occurrence Download

description: A dataset containing 372 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-74.4303 -18.18482,-69.51796 -18.18482,-69.51796 -15.55255,-74.4303 -15.55255,-74.4303 -18.18482))",
 "HasGeospatialIssue is false",
 "TaxonKey is Aeronautes andecolus (d'Orbigny & Lafresnaye, 1837)",
 "Year 2021-2025"
 ]
}

 The dataset includes 372 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001061-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ryef5b
title: Occurrence Download

description: A dataset containing 1445 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "StateProvince is New Jersey",
 "TaxonKey is Vaccinium corymbosum L."
 ]
}

 The dataset includes 1445 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001062-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zh826c
title: Occurrence Download

description: A dataset containing 77 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Lepidothrix vilasboasi (Sick, 1959)"
 ]
}

 The dataset includes 77 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001063-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9vyv43
title: Occurrence Download

description: A dataset containing 410 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Occurrence evidence, Human Observation, Living Specimen, Specimen, Material sample, Material citation)",
 "CoordinateUncertaintyInMeters 0.0-1000.0",
 "Geometry POLYGON((-26.47351 12.65591,-11.50675 12.65591,-11.50675 34.07289,-26.47351 34.07289,-26.47351 12.65591))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Dracaena draco (L.) L."
 ]
}

 The dataset includes 410 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0166085-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14734138
title: Dataset camel shade
DOI: 10.5281/zenodo.14734139
title: Dataset camel shade
DOI: 10.5281/zenodo.14733924
title: Automatic Reviews' Assignments through Answer Set Programming

description: For the experiments, we selected the IRCDL dataset available from the 20th anniversary in which all the (315) publications of the first twenty editions were available. Authors, titles and keywords were extracted from the dataset. As per reviewers, we opted for the Program Committee members of the 20th edition of IRCDL.

 

The problem of automatically assigning reviews is a crucial task in conference management. Not onlyis it a time-consuming and challenging task, but it is also one of the most important peculiarities thatcontribute to the good/bad organisation of the conference, not to mention the degree of satisfactionof the people involved. During review assignments, many constraints come into play: the maximumnumber of papers per reviewer, the minimum number of reviews per paper, conflict handling and, lastbut not least, the similarity between papers’ topics and reviews’ interests. In this paper, we propose astrategy to map topics using the ACM Computing taxonomy, and a modelization of the problem in aConstraint Satisfaction setting relying on the Answer Set Programming logical framework. This strategy,although performing worse than top solutions in the state-of-the-art, showed the capability of managingmany real situations that have not been captured so far. Experiments demonstrated the goodness ofperformances for small/medium numbers of papers.
DOI: 10.5281/zenodo.14733925
title: Automatic Reviews' Assignments through Answer Set Programming

description: For the experiments, we selected the IRCDL dataset available from the 20th anniversary in which all the (315) publications of the first twenty editions were available. Authors, titles and keywords were extracted from the dataset. As per reviewers, we opted for the Program Committee members of the 20th edition of IRCDL.

 

The problem of automatically assigning reviews is a crucial task in conference management. Not onlyis it a time-consuming and challenging task, but it is also one of the most important peculiarities thatcontribute to the good/bad organisation of the conference, not to mention the degree of satisfactionof the people involved. During review assignments, many constraints come into play: the maximumnumber of papers per reviewer, the minimum number of reviews per paper, conflict handling and, lastbut not least, the similarity between papers’ topics and reviews’ interests. In this paper, we propose astrategy to map topics using the ACM Computing taxonomy, and a modelization of the problem in aConstraint Satisfaction setting relying on the Answer Set Programming logical framework. This strategy,although performing worse than top solutions in the state-of-the-art, showed the capability of managingmany real situations that have not been captured so far. Experiments demonstrated the goodness ofperformances for small/medium numbers of papers.
DOI: 10.6084/m9.figshare.27276726.v3
title: Statistical distribution of chorus waves in Jupiter’s magnetosphere based on Galileo and Juno observations

description: The database are helpful, if anyone would like to reproduce our results in this work.
DOI: 10.15468/dl.sfj2fk
title: Occurrence Download

description: A dataset containing 109748141 species occurrences available in GBIF matching the query:
{
 "PublishingOrg" : [
 "is b8323864-602a-4a7d-9127-bb903054e97d"
 ]
}

 The dataset includes 109748141 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001023-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.95b73f
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chile",
 "TaxonKey is Chlamydoselachus anguineus Garman, 1884"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001066-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5mtv6k
title: Occurrence Download

description: A dataset containing 29872 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Trillium ovatum Pursh"
 ]
}

 The dataset includes 29872 records from 155 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001065-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w8bwnr
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chile",
 "TaxonKey is Echinorhinus Blainville, 1816"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001068-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rjvdzt
title: Occurrence Download

description: A dataset containing 723 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Mexico",
 "OccurrenceStatus is Present",
 "StateProvince is Tabasco",
 "TaxonKey is Pandion haliaetus (Linnaeus, 1758)"
 ]
}

 The dataset includes 723 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001069-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g7ym27
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "GadmGid is CHN.6_1",
 "TaxonKey is Chiroptera",
 "Year 2020-2025"
 ]
}

 The dataset includes 38 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001070-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u3wyqc
title: Occurrence Download

description: A dataset containing 1200 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tambourissa purpurea (Tul.) A.DC."
 ]
}

 The dataset includes 1200 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001071-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sezb7v
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "StateProvince is Tabasco",
 "TaxonKey is Panthera onca (Linnaeus, 1758)"
 ]
}

 The dataset includes 12 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001072-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48329/1h2w-y250
title: CPRD GOLD February 2025

description: The CPRD Gold database contains longitudinal routinely-collected electronic health records (EHR data) from UK primary care practices using Vision® general practice patient management software. The database captures information on demographic characteristics; diagnoses and symptoms; drug exposures; vaccination history; laboratory tests; and referrals to hospital and specialist care. Access to anonymised data from CPRD is subject to a full licence agreement containing detailed terms and conditions of use. Anonymised patient datasets can be extracted for researchers against specific study specifications, following protocol approval. Further information is available at https://www.cprd.com/data-access.
DOI: 10.15468/dl.eeypwy
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Etmopterus litvinovi Parin & Kotlyar, 1990"
 ]
}

 The dataset includes 15 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001073-250123221155621/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.28038406
title: Influence of statistical methods on lower limits of dose estimation in biological dosimetry

description: In cases of radiological or nuclear events, biological dosimetry enables decisions whether an individual was exposed to ionizing radiation and the estimation of the dose. Several statistical methods are used to assess uncertainties. The stringency of the applied method has an impact on the lowest dose that can be detected. To obtain reliable and comparable results, it is crucial to harmonize the applied statistical methods. The decision threshold and detection limit of the statistical methods were derived for variable cell numbers. The coverage of the 95% confidence intervals as well as the false-positive and false-negative rates of the methods were compared based on simulations. The evaluated methods included a graphical method, the propagation of errors and a Bayesian method. The minimum resolvable doses, the doses at the detection limit and the coverage were relatively variable between the compared methods. The Bayesian method showed the best coverage, lowest resolvable doses and had false-positive rates close to 5%. The graphical method with the combination of two 83% confidence intervals also showed promising results. The other methods were either too conservative or underestimated the uncertainties for some doses or cell numbers. The assessment of the lower dose limits is a central part of biological dosimetry and the applied statistical methods have a strong influence on the interpretation of the results. Simulations enable comparisons between methods and provide important information for the harmonization and standardization of the uncertainty assessment.
DOI: 10.6084/m9.figshare.28038406.v1
title: Influence of statistical methods on lower limits of dose estimation in biological dosimetry

description: In cases of radiological or nuclear events, biological dosimetry enables decisions whether an individual was exposed to ionizing radiation and the estimation of the dose. Several statistical methods are used to assess uncertainties. The stringency of the applied method has an impact on the lowest dose that can be detected. To obtain reliable and comparable results, it is crucial to harmonize the applied statistical methods. The decision threshold and detection limit of the statistical methods were derived for variable cell numbers. The coverage of the 95% confidence intervals as well as the false-positive and false-negative rates of the methods were compared based on simulations. The evaluated methods included a graphical method, the propagation of errors and a Bayesian method. The minimum resolvable doses, the doses at the detection limit and the coverage were relatively variable between the compared methods. The Bayesian method showed the best coverage, lowest resolvable doses and had false-positive rates close to 5%. The graphical method with the combination of two 83% confidence intervals also showed promising results. The other methods were either too conservative or underestimated the uncertainties for some doses or cell numbers. The assessment of the lower dose limits is a central part of biological dosimetry and the applied statistical methods have a strong influence on the interpretation of the results. Simulations enable comparisons between methods and provide important information for the harmonization and standardization of the uncertainty assessment.