cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.gwc7fm
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Bactrocera gnetum Drew & Hancock, 1995"
 ]
}

 The dataset includes 7 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006025-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u5f3k9
title: Occurrence Download

description: A dataset containing 1450166 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is Brazil",
 "Country is Costa Rica",
 "Country is Australia",
 "Country is New Zealand"
 ]
 },
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1450166 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0088099-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pcf9ak
title: Occurrence Download

description: A dataset containing 739 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chile",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Psilopsiagon aurifrons (Lesson, 1830)"
 ]
}

 The dataset includes 739 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0271691-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cvwqcs
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "TaxonKey is Oreobates machiguenga Padial, Chaparro, Castroviejo-Fisher, Guayasamin, Lehr, Delgado, Vaira, Teixeira et al., 2012"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037606-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pbzkgk
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lestidiops cadenati (Maul, 1962)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 12 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002291-160623103540712/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yp4zen
title: Occurrence Download

description: A dataset containing 2446 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Elaeocarpus sylvestris (Lour.) Poir."
 ]
}

 The dataset includes 2446 records from 87 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059656-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8pq67s
title: Occurrence Download

description: A dataset containing 12022315 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aves)",
 "Country is one of (Mexico)",
 "HasCoordinate is one of (true)"
 ]
}

 The dataset includes 12022315 records from 208 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037603-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wh7unh
title: Occurrence Download

description: A dataset containing 95 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Guatteria cryandra Erkens & Maas"
 ]
}

 The dataset includes 95 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0134652-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4olc5g
title: Occurrence Download

description: A dataset containing 3471 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Observation",
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Machine Observation",
 "BasisOfRecord is Literature Occurrence"
 ]
 },
 "TaxonKey is Artemisia annua L."
 ]
}

 The dataset includes 3471 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002291-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.urhijf
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Homonota uruguayensis (Vaz-Ferreira & Sierra De Soriano, 1961)"
 ]
}

 The dataset includes 36 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007096-180730143533302/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.moa09d
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lampropeltis triangulum smithi Williams, 1978"
 ]
}

 The dataset includes 34 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004353-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.oiyg3p
title: Occurrence Download

description: A dataset containing 1519 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "Geometry POLYGON((-98.23 19.69,-98.23 19.95,-97.80 19.95,-97.80 19.69,-98.23 19.69))"
 ]
}

 The dataset includes 1519 records from 74 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002292-160311141623029/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.96sn6k
title: Occurrence Download

description: A dataset containing 6102 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Norway, Sweden, Finland, Denmark, Germany, Russian Federation)",
 "IucnRedListCategory is LC",
 "TaxonKey is Canis lupus Linnaeus, 1758"
 ]
}

 The dataset includes 6102 records from 74 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021945-250402121839773/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.22828001
title: HapMapIII_NCBI36 Plink Files

description: HapMap III NCBI36 PLINK Files in .bed, .bim and .fam format.
DOI: 10.6084/m9.figshare.22828001.v1
title: HapMapIII_NCBI36 Plink Files

description: HapMap III NCBI36 PLINK Files in .bed, .bim and .fam format.
DOI: 10.5281/zenodo.7929898
title: Upload scientific video contributions

description: This document aims to explain the legal framework for video uploads to publicly accessible video portals covering video recordings with scientific content. For the detailed data protection section, you will find a flowchart on data protection for video uploads here for your orientation.
description: Funded by the German Research Foundation (DFG) – 441958017 (NFDI4Culture)
DOI: 10.5281/zenodo.7929897
title: Upload scientific video contributions

description: This document aims to explain the legal framework for video uploads to publicly accessible video portals covering video recordings with scientific content. For the detailed data protection section, you will find a flowchart on data protection for video uploads here for your orientation.
description: Funded by the German Research Foundation (DFG) – 441958017 (NFDI4Culture)
DOI: 10.6084/m9.figshare.22022540
title: Annotated dataset for deep-learning-based bacterial colony detection

description: Quantifying bacteria per unit mass or volume is a common task in various fields of microbiology (e.g., infectiology, and food hygiene). Most bacteria can be grown on culture media. The unicellular bacteria reproduce by dividing into two cells, which increases the number of bacteria in the population. Methodologically, this can be followed by culture procedures, which mostly involve determining the number of bacterial colony-forming units on the solid culture media that are visible to the naked eye. However, it is a time-consuming and laborious professional activity. Addressing the automation of colony-forming unit counting by convolutional neural networks in our work, we have cultured 24 bacteria species of veterinary importance with different concentrations on solid media. A total of 56,865 colonies were annotated manually by bounding boxes on the 369 digital images of bacterial cultures. The published database will help developments that use artificial intelligence to automate the counting of bacterial colony-forming units.
DOI: 10.6069/xqez-ga40
title: PRM data for "Functional analysis of a common BAG3 allele associated with protection from heart failure"

description: Manuscript abstract:
"Multiple genetic association studies have correlated a common allelic block linked to the BAG3 gene with a decreased incidence of heart failure, but the molecular mechanism for such protection remains elusive. One of the variants in this allele block is coding, changing cysteine to arginine at position 151 of BAG3 (rs2234962-BAG3C151R). Here, we use induced pluripotent stem cells (iPSC) to test if the BAG3C151R variant alters protein and cellular function in human cardiac myocytes. Quantitative protein interaction network analysis identified specific changes in BAG3C151R protein interaction partners in cardiomyocytes but not in iPSCs or an immortalized cell line. Knockdown of BAG3 interacting factors in cardiomyocytes followed by myofibrillar analysis revealed that BAG3C151R associates more strongly with proteins involved in the maintenance of myofibrillar integrity. Finally, we demonstrate that cardiomyocytes expressing the BAG3C151R variant have improved response to proteotoxic stress in an allele dose-dependent manner. This study suggests that the BAG3C151R variant increases cardiomyocyte protection from stress by enhancing the recruitment of factors critical to the maintenance of myofibril integrity, hinting that this variant could be responsible for the cardioprotective effect of the haplotype block. By revealing specific changes in preferential binding partners of the BAG3C151R protein variant, we also identify potential targets for the development of novel cardioprotective therapies."
DOI: 10.34740/kaggle/dsv/5696017
title: Elon Musk Tweets
DOI: 10.6084/m9.figshare.22353472
title: Comparison of group 4 and thorium M(IV) substituted cyclopentadienyl silanide complexes

description: NMR and ATR-IR spectra and elemental anslyses.
DOI: 10.6084/m9.figshare.22353472.v1
title: Comparison of group 4 and thorium M(IV) substituted cyclopentadienyl silanide complexes

description: NMR and ATR-IR spectra and elemental anslyses.
DOI: 10.26182/w4fr-6f84
title: Description of the LC-MS/MS Method PathWest QEII Laboratory Nedlands WA
DOI: 10.5281/zenodo.7750016
title: Differences in Scattering Properties of the Shallow Crusts of Earth, Mars, and the Moon Revealed by P-Wave Receiver Functions - Dataset

description: This version includes the seismic data set of Earthquakes, Marsquakes, and Moonquakes used in "Differences in Scattering Properties of the Shallow Crusts of Earth, Mars, and the Moon Revealed by P-Wave Receiver Functions" by Shi et al. (2023). In the data set of Earthquakes and Marsquakes, the direct P wave starts after 120 s. In the data set of Moonquakes, the direct P wave starts after 50 s. In addition, this version also includes the velocity models for the Earth, Mars, and Moon used in the article.
DOI: 10.5281/zenodo.7750015
title: Differences in Scattering Properties of the Shallow Crusts of Earth, Mars, and the Moon Revealed by P-Wave Receiver Functions - Dataset

description: This version includes three parts. The first part is the seismic data set of Earthquakes, Marsquakes, and Moonquakes used in "Differences in Scattering Properties of the Shallow Crusts of Earth, Mars, and the Moon Revealed by P-Wave Receiver Functions" by Shi et al. (2023). In the data set of Earthquakes and Marsquakes, the direct P wave starts after 120 s. In the data set of Moonquakes, the direct P wave starts after 50 s. The second part is the velocity models used in the article for the Earth, Mars, and Moon. The third part is the code used to reproduce all the figures in the main text.
DOI: 10.5281/zenodo.7938794
title: Insights into Varroa mite (Varroa destructor) infestation levels in local honeybee (Apis mellifera) colonies of Ethiopia

description: These data were collected from three geographic regions of Ethiopia from September, 2020 to June 2022 in order to determine the prevalence of<em> varroa destructor </em>in Ethiopian honeybee colonies. The data was analyzed to compare the <em>Varroa destructor</em> mite among the honeybee development stages (brood Vs Adult), by the hive types (Local traditional Vs Frame modern) and across the geographic regions (Oromia, Amhara and SNNPR). Both the raw and the partially processed data were available here.
DOI: 10.5281/zenodo.7938793
title: Insights into Varroa mite (Varroa destructor) infestation levels in local honeybee (Apis mellifera) colonies of Ethiopia

description: These data were collected from three geographic regions of Ethiopia from September, 2020 to June 2022 in order to determine the prevalence of<em> varroa destructor </em>in Ethiopian honeybee colonies. The data was analyzed to compare the <em>Varroa destructor</em> mite among the honeybee development stages (brood Vs Adult), by the hive types (Local traditional Vs Frame modern) and across the geographic regions (Oromia, Amhara and SNNPR). Both the raw and the partially processed data were available here.
DOI: 10.26182/yp0m-cd10
title: Statistics Supplementary Material
DOI: 10.15479/at:ista:12949
title: The infinitesimal model with dominance

description: The classical infinitesimal model is a simple and robust model for the inheritance of quantitative traits. In this model, a quantitative trait is expressed as the sum of a genetic and a non-genetic (environmental) component and the genetic component of offspring traits within a family follows a normal distribution around the average of the parents’ trait values, and has a variance that is independent of the trait values of the parents. Although the trait distribution across the whole population can be far from normal, the trait distributions within families are normally distributed with a variance-covariance matrix that is determined entirely by that in the ancestral population and the probabilities of identity determined by the pedigree. Moreover, conditioning on some of the trait values within the pedigree has predictable effects on the mean and variance within and between families. In previous work, Barton et al. (2017), we showed that when trait values are determined by the sum of a large number of Mendelian factors, each of small effect, one can justify the infinitesimal model as limit of Mendelian inheritance. It was also shown that under some forms of epistasis, trait values within a family are still normally distributed.
DOI: 10.6084/m9.figshare.22828121
title: Validation of automated measurements of soil tillage variables with laser and ultrasound sensors

description: ABSTRACT The quality of soil tillage can be measured with a specific device called profilometer, which provides information on roughness, mobilized area, blistering, and thickness in disturbed soils. However, it is an outdated device, requiring many hours of field and office work. Thus, the objective of the present work was to develop an electronic profilometer using laser triangulation and ultrasound sensors for measurement of digitally mobilized soil profile. The results obtained were compared to those acquired with a conventional sliding bar profilometer to evaluate the accuracy and efficiency of the sensors. The experiment was conducted in a completely randomized design under a controlled environment. The variables were measured seven times using the three profilometers (laser, ultrasound, and conventional) in the original, elevated, and mobilized soil profiles. The electronic profilometer with ultrasound differed in all the measurements when compared to the conventional profilometer, which differed from the laser sensor only in modified roughness.
DOI: 10.6084/m9.figshare.22828121.v1
title: Validation of automated measurements of soil tillage variables with laser and ultrasound sensors

description: ABSTRACT The quality of soil tillage can be measured with a specific device called profilometer, which provides information on roughness, mobilized area, blistering, and thickness in disturbed soils. However, it is an outdated device, requiring many hours of field and office work. Thus, the objective of the present work was to develop an electronic profilometer using laser triangulation and ultrasound sensors for measurement of digitally mobilized soil profile. The results obtained were compared to those acquired with a conventional sliding bar profilometer to evaluate the accuracy and efficiency of the sensors. The experiment was conducted in a completely randomized design under a controlled environment. The variables were measured seven times using the three profilometers (laser, ultrasound, and conventional) in the original, elevated, and mobilized soil profiles. The electronic profilometer with ultrasound differed in all the measurements when compared to the conventional profilometer, which differed from the laser sensor only in modified roughness.
DOI: 10.6084/m9.figshare.22124219.v7
title: Global Urban Network Dataset

description: The Global Urban Network (GUN) dataset provides pre-computed node and edge attribute features for various cities. Each layer is available in .geojson format and can easily be converted into NetworkX, igraph, PyG, and DGL graph formats. <br> For node attributes, we adopt a uniform Euclidean approach, as it provides a consistent, straightforward, and extensible basis for integrating heterogeneous data sources across different network locations. Accordingly, we construct 100 metres euclidean buffers for each network node and compute the spatial intersection with spatial targets (e.g., street view imagery points, points of interest, and building footprints). To ensure spatial consistency and accurate distance computation, we project spatial entities into local coordinate reference systems (CRS). Users can employ the Urbanity package to generate Euclidean buffers of arbitrary distance. <br> For edge attributes, we adopt a two-step approach: 1) compute the distance between each spatial point of interest and its proximate edges in the network, and 2) assign entities to the corresponding edge with lowest distance. To account for remote edges (e.g., peripheral routes that are not located close to any amenities), we specify a distance threshold of 50 metres. For buildings, we compute the distance between building centroids and their respective network edge. Accordingly, we compute spatial indicators based on the set of elements assigned to each network edge. <br> We also release aggregated subzone statistics for each city. Similarly, users can employ the Urbanity package to generate aggregate statistics for any arbitrary geographic boundary. <br> Urbanity Python package: https://github.com/winstonyym/urbanity. <br> <br> <br> <br> <br>
DOI: 10.4121/4c08e194-9715-4f5c-8515-55df53d2a3eb
title: Data underlying the PhD thesis "Precision nutrition for cardiometabolic health: insights from human dietary intervention studies"

description: This dataset contains the supplementary tables with fasting and postprandial plasma metabolomics data of chapters 5 and 7 from Anouk Gijbels' PhD thesis, "Precision nutrition for cardiometabolic health: insights from human dietary intervention studies". The research in this thesis aimed to contribute to a better understanding of the role of metabolic heterogeneity in response to diet, with a specific focus on tissue-specific insulin resistance. In addition, we aimed to contribute to a better understanding of the mechanisms by which diet affects metabolic health by investigating postprandial metabolism.
DOI: 10.4121/4c08e194-9715-4f5c-8515-55df53d2a3eb.v1
title: Data underlying the PhD thesis "Precision nutrition for cardiometabolic health: insights from human dietary intervention studies"

description: This dataset contains the supplementary tables with fasting and postprandial plasma metabolomics data of chapters 5 and 7 from Anouk Gijbels' PhD thesis, "Precision nutrition for cardiometabolic health: insights from human dietary intervention studies". The research in this thesis aimed to contribute to a better understanding of the role of metabolic heterogeneity in response to diet, with a specific focus on tissue-specific insulin resistance. In addition, we aimed to contribute to a better understanding of the mechanisms by which diet affects metabolic health by investigating postprandial metabolism.
DOI: 10.6084/m9.figshare.21165013
title: Ultra-fast Prediction of Somatic Structural Variations by Reduced Read Mapping via Pan-Genome <i>k</i>-mer Sets

description: The performances of ETCHING and other benchmarking SV callers in TCGA lung and prostate cancers (Figure2). The raw data of Figure 3, 4, and 5.
DOI: 10.6084/m9.figshare.21165013.v1
title: Ultra-fast Prediction of Somatic Structural Variations by Reduced Read Mapping via Pan-Genome <i>k</i>-mer Sets

description: The performances of ETCHING and other benchmarking SV callers in TCGA lung and prostate cancers (Figure2). The raw data of Figure 3, 4, and 5.
DOI: 10.21227/zrwm-wn29
title: Adaptive Shape Parameter RPIM for SP Log Analysis: Methods and Benchmarks

description: Radial basis function (RBF) is a basis function suitable for scattered data interpolation and high dimensional function interpolation, wherein the independent shape parameters have a direct impact on the accuracy of calculation results. Research in this field is mostly concerned with the shape parameter selection strategy based on the premise of global distribution or block regional distribution. In this paper, a shape parameter selection strategy is proposed, which is used for the local RBF collocation method (LRBF) for solving partial differential equations. It overcomes many limitations of the traditional methods applied to LRBF. In this strategy, a set of twin matrices similar to the interpolation matrix are constructed to evaluate the error of the model. In addition, the penalty term contained in the twin matrix is used to relax the influence of the far end region on the target node. Since the objective problem is nonlinear, a particle swarm optimization algorithm (PSO) is employed to minimize the training objective and adjust the shape parameters of the basis function at each iteration. Extensive numerical results showed the effectiveness of the error estimation strategy, by providing a good shape parameter and better solution accuracy. At the end of the paper, the generality of the shape parameter optimization framework based on this strategy is discussed through three examples.