cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.4bdux8
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hamamelis virginiana L.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Living Specimen"
 ]
}

 The dataset includes 20 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019147-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.apbsuw
title: Occurrence Download

description: A dataset containing 67 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Orcinus orca (Linnaeus, 1758)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 67 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019148-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8apztt
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Handroanthus impetiginosum (Mart. ex DC.) Mattos",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Living Specimen"
 ]
}

 The dataset includes 20 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019149-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qychgm
title: Occurrence Download

description: A dataset containing 1037 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Asaphes suspensus (Nees, 1834)"
 ]
}

 The dataset includes 1037 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019150-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r2wwbh
title: Occurrence Download

description: A dataset containing 148 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Takifugu snyderi (Abe, 1988)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 148 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019151-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e212521
title: Sample A

description: Sample A comes from Shaanxi
Normal University, which is a key university under the "211 Project"
directly managed by the Ministry of Education. It has extensive social
influence in the field of teacher education. The random sampling method is a straightforward
approach to forming a sample group and is a viable data collection strategy
that can be employed in research. This method ensures that all members of a
given population have an equal opportunity for selection.We adopted a random sampling method to conduct an
online scale survey among students from different majors and grades. In the
end, we obtained a total of 234 valid questionnaires. In the item analysis of Sample A, we utilized
the critical ratio (CR) to evaluate item appropriateness. For EFA, principal
component analysis (PCA) was employed to extract factors. We assessed the
suitability of the data for EFA using the KMO measure and Bartlett's test of
sphericity, followed by factor rotation and removal of inadequate items based
on factor loadings.
DOI: 10.3886/e212521v1
title: Sample A

description: Sample A comes from Shaanxi
Normal University, which is a key university under the "211 Project"
directly managed by the Ministry of Education. It has extensive social
influence in the field of teacher education. The random sampling method is a straightforward
approach to forming a sample group and is a viable data collection strategy
that can be employed in research. This method ensures that all members of a
given population have an equal opportunity for selection.We adopted a random sampling method to conduct an
online scale survey among students from different majors and grades. In the
end, we obtained a total of 234 valid questionnaires. In the item analysis of Sample A, we utilized
the critical ratio (CR) to evaluate item appropriateness. For EFA, principal
component analysis (PCA) was employed to extract factors. We assessed the
suitability of the data for EFA using the KMO measure and Bartlett's test of
sphericity, followed by factor rotation and removal of inadequate items based
on factor loadings.
DOI: 10.3886/e212522
title: Sample B

description: Sample B employed a
stratified random sampling method. The application of stratified random sampling
ensures that each subgroup of the population is adequately represented in the
sample, thereby providing a more comprehensive overall coverage.Firstly, we divided China into four primary sampling
units: Eastern, Central, Western, and Northeastern regions, based on the
division of economic regions by the National Bureau of Statistics of China.
Then, within each unit, two teacher education colleges or comprehensive
universities were selected as secondary sampling units. Finally, according to
the principle of random sampling, we distributed and collected at least 50
questionnaires in each selected institution, resulting in a total of 543 collected
questionnaires. CFA
of Sample B was conducted using the maximum likelihood method in AMOS 26.0
software, preceded by a test of normality. Convergent validity and discriminant
validity were analyzed, focusing on correlations among measurement items within
factors and between factors, respectively. Reliability testing employed
Cronbach's alpha coefficient. These methods systematically examined the
validity and reliability of the scale.
DOI: 10.3886/e212522v1
title: Sample B

description: Sample B employed a
stratified random sampling method. The application of stratified random sampling
ensures that each subgroup of the population is adequately represented in the
sample, thereby providing a more comprehensive overall coverage.Firstly, we divided China into four primary sampling
units: Eastern, Central, Western, and Northeastern regions, based on the
division of economic regions by the National Bureau of Statistics of China.
Then, within each unit, two teacher education colleges or comprehensive
universities were selected as secondary sampling units. Finally, according to
the principle of random sampling, we distributed and collected at least 50
questionnaires in each selected institution, resulting in a total of 543 collected
questionnaires. CFA
of Sample B was conducted using the maximum likelihood method in AMOS 26.0
software, preceded by a test of normality. Convergent validity and discriminant
validity were analyzed, focusing on correlations among measurement items within
factors and between factors, respectively. Reliability testing employed
Cronbach's alpha coefficient. These methods systematically examined the
validity and reliability of the scale.
DOI: 10.15468/dl.yks7r4
title: Occurrence Download

description: A dataset containing 542 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nautichthys oculofasciatus (Girard, 1858)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 542 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019152-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yvku4n
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Heritiera littoralis Dryand. ex Aiton",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Living Specimen"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019153-241126133413365/datasets/export for details.
DOI: 10.4121/6162a9b6-2a20-4600-8207-e9dcd53a264a
title: Cracks in Steel Bridges (CSB) dataset: data underlying the publication: Loss function inversion for improved crack segmentation in steel bridges using a CNN framework

description: The presented dataset used for the experiments is described in the article "Loss function inversion for improved crack segmentation in steel bridges using a CNN framework" (doi:https://doi.org/10.1016/j.autcon.2024.105896). The dataset consists of images of steel bridge structures and pixel-wise fatigue crack annotations. Some of the images contain bridge structures with cracks or corrosion, while others capture structures without any defect. The images are provided by bridge infrastructure owners "Rijkswatersaat" and "ProRail" and by "Nebest" engineering company. The annotation of images was made using a semi-automatic annotation tool described in the article "Segmentation Tool for Images of Cracks" (doi:https://doi.org/10.1007/978-3-031-35399-4_8) and which implementation is available at https://github.com/akomp22/crack-segmentation-tool.The dataset consists of high-resolution images and is stored in the folder "entire images". The images are divided into test and train sets. Images that capture cracks are stored in the folder "crack_train" and "crack_test". Images capturing structure without a crack are stored in folders "nocrack_train" and "nocrack_test". For each image, a .json file is stored in the same folder and under the same name as the corresponding image. The .json file stores the position (x,y) of pixels on the image, which lie in a crack region. An example of a code to generate a binary segmentation map from the .json files is given in the "read_json_annotation.py" file.Additional patch datasets were generated from the entire images. The patch datasets are stored in the “patch dataset” folder. The multiple patch datasets differ by the patch size, number of patches, and fraction of patches that do not contain cracks among all patches of the particular dataset. Furthermore, we provide segmentation maps in file "predictions.rar" for entire test images which are given by the method proposed in our research article.For more explanations, please refer to the article: https://doi.org/10.1016/j.autcon.2024.105896
DOI: 10.4121/6162a9b6-2a20-4600-8207-e9dcd53a264a.v3
title: Cracks in Steel Bridges (CSB) dataset: data underlying the publication: Loss function inversion for improved crack segmentation in steel bridges using a CNN framework

description: The presented dataset used for the experiments is described in the article "Loss function inversion for improved crack segmentation in steel bridges using a CNN framework" (doi:https://doi.org/10.1016/j.autcon.2024.105896). The dataset consists of images of steel bridge structures and pixel-wise fatigue crack annotations. Some of the images contain bridge structures with cracks or corrosion, while others capture structures without any defect. The images are provided by bridge infrastructure owners "Rijkswatersaat" and "ProRail" and by "Nebest" engineering company. The annotation of images was made using a semi-automatic annotation tool described in the article "Segmentation Tool for Images of Cracks" (doi:https://doi.org/10.1007/978-3-031-35399-4_8) and which implementation is available at https://github.com/akomp22/crack-segmentation-tool.The dataset consists of high-resolution images and is stored in the folder "entire images". The images are divided into test and train sets. Images that capture cracks are stored in the folder "crack_train" and "crack_test". Images capturing structure without a crack are stored in folders "nocrack_train" and "nocrack_test". For each image, a .json file is stored in the same folder and under the same name as the corresponding image. The .json file stores the position (x,y) of pixels on the image, which lie in a crack region. An example of a code to generate a binary segmentation map from the .json files is given in the "read_json_annotation.py" file.Additional patch datasets were generated from the entire images. The patch datasets are stored in the “patch dataset” folder. The multiple patch datasets differ by the patch size, number of patches, and fraction of patches that do not contain cracks among all patches of the particular dataset. Furthermore, we provide segmentation maps in file "predictions.rar" for entire test images which are given by the method proposed in our research article.For more explanations, please refer to the article: https://doi.org/10.1016/j.autcon.2024.105896
DOI: 10.15468/dl.zs7t8w
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fugu vermicularis (Temminck & Schlegel, 1850)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019155-241126133413365/datasets/export for details.
DOI: 10.15468/dl.z7uwgq
title: Occurrence Download

description: A dataset containing 2296 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((16.42944 48.30794,16.55472 48.30794,16.55472 48.389,16.42944 48.389,16.42944 48.30794))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 2296 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019154-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bunvyn
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Heteromeles arbutifolia (Lindl.) M.Roem.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Living Specimen"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019156-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cjysca
title: Occurrence Download

description: A dataset containing 76 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Buccinum isaotakii Kira, 1959",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 76 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019158-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9a3j2n
title: Occurrence Download

description: A dataset containing 18588 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "OccurrenceStatus is Present",
 "TaxonKey is Trollius L."
 ]
}

 The dataset includes 18588 records from 425 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019157-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5wsefp
title: Occurrence Download

description: A dataset containing 168 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((52.27863 4.54416,179.72137 4.54416,179.72137 55.45584,52.27863 55.45584,52.27863 4.54416))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Arachniodes cavaleriei (Christ) Ohwi"
 ]
}

 The dataset includes 168 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019159-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5gqcuv
title: Occurrence Download

description: A dataset containing 1794 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pyracantha crenulata (D.Don) M.Roem."
 ]
}

 The dataset includes 1794 records from 166 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019160-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7r64zy
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hibiscus mutabilis L.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Living Specimen"
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019161-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.exmdy8
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pasiphaea japonica Omori, 1976",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 32 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019162-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p3vk9d
title: Occurrence Download

description: A dataset containing 104 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((69.78912 7.23654,151.21088 7.23654,151.21088 39.76346,69.78912 39.76346,69.78912 7.23654))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Arachniodes cavalerii (Christ) Ohwi"
 ]
}

 The dataset includes 104 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019163-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48512/xcv8501009
title: Spatial analysis and neotaphonomy data from two landscape bone assemblages in the Ngorongoro

description: Two 100 m x 200 m survey blocks, located approximately one kilometer from each other and referred to as Olduvai Transect 1 (OT1) and Olduvai Transect 2 (OT2), were visited in 2015 (OT1) and 2018 (OT2) at the height of the dry season in mid-June or July. OT1 occurs in a treeless section of the plain , while OT2 contains a stand of trees surrounding a seasonal waterhole (Figure 2). A series of abandoned Maasai homesteads (bomas) were located to the south and to the west of OT2 at the time of data collection. The survey blocks’ borders lie along an arbitrary grid system established with a laser total station. Systematic pedestrian survey was carried out to document the spatial distribution of bone specimens within these borders. The survey team was arranged in a line and spaced one arm’s length apart (~65 cm). The survey line progressed back and forth in transects at a slow walk. Individuals at either end of the survey line used compasses and regularly checked and adjusted spacing to ensure that parallel, non-overlapping transects were maintained. Vegetation is sparse in both survey areas, so ground visibility was generally excellent. All specimens—whether fully exposed or partially buried—were marked with colored pin flags (in some cases, tight clusters of bone specimens were marked with a single pin flag). Partially buried bones were generally quite conspicuous in the soft, fine sand substrate. No attempt was made to identify or recover fully buried material through excavation. While most specimens were encountered during systematic transect survey, a handful were discovered ad hoc, either as the survey team roamed the block between transect runs or as previously flagged bones were being recorded. Each specimen was plotted to the nearest millimeter at its center point with the total station and then collected. Articulated remains were plotted separately. Given the close spacing and slow pace of the survey teams and the excellent visibility, we are confident that high recovery rates were attained for all fully exposed and partially buried remains. Our analysis focuses on all recovered specimens &gt; 2 cm in maximum dimension. To our knowledge, neither survey block experienced any systematic collection in the past, and the presence of bones in weathering stage 5 suggest that both faunal assemblages represent at least 12 years of deposition (Behrensmeyer, 1978). At OT2, all trees equal to or greater than three meters in height were also plotted with the total station by measuring three to five points around the circumference. The resulting points were imported into ArcGIS Pro (version 3.2.0) and connected to form individual polygons. The “Feature to Point” geoprocessing tool calculated the centroid of each polygon. These tree centroids were used for all distance-to-tree calculations (see below). Topographic points were recorded in UTM coordinates with a Trimble GeoXH 6000 and then converted into local total station coordinates. Elevations were recorded as meters above mean sea level.
DOI: 10.15468/dl.y2t9yd
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pasiphaea gracilis Hayashi, 1999",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019164-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ertmer
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hibiscus rosa-sinensis L.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Living Specimen"
 ]
}

 The dataset includes 15 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019165-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3kxfnk
title: Occurrence Download

description: A dataset containing 477 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Odontopyxis trispinosa Lockington, 1880",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 477 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019166-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.