cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.4uhf37
title: Occurrence Download

description: A dataset containing 3738 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (iNaturalist Research-grade Observations)",
 "Geometry POLYGON(( -105.601802164238 35.5325227840993 , -105.2372292897 35.5325227840993 , -105.2372292897 36.1779250141282 , -105.601802164238 36.1779250141282 , -105.601802164238 35.5325227840993 ))",
 "Year is greater than or equal to 2016"
 ]
}

 The dataset includes 3738 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004402-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p6vqcy
title: Occurrence Download

description: A dataset containing 22927 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is North America",
 "CoordinateUncertaintyInMeters 0.0-980.0",
 "TaxonKey is Reynoutria japonica"
 ]
}

 The dataset includes 22927 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004403-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.464nq6
title: Occurrence Download

description: A dataset containing 182 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Enriquebeltrania crenatifolia"
 ]
}

 The dataset includes 182 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004404-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gyn8xd
title: Occurrence Download

description: A dataset containing 10881 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lonicera canadensis"
 ]
}

 The dataset includes 10881 records from 202 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004405-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ks323f
title: Occurrence Download

description: A dataset containing 2745 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Penelope barbata"
 ]
}

 The dataset includes 2745 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004406-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7aevvj
title: Occurrence Download

description: A dataset containing 125 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Trichopeltheca",
 "HasCoordinate is true"
 ]
}

 The dataset includes 125 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004407-251120083545085/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.30141910
title: scPairing tutorial data

description: Tutorial data for scPairing
DOI: 10.6084/m9.figshare.30141910.v3
title: scPairing tutorial data

description: Tutorial data for scPairing
DOI: 10.6084/m9.figshare.30141910.v2
title: scPairing tutorial data

description: Tutorial data for scPairing
DOI: 10.15468/dl.vn7ujm
title: Occurrence Download

description: A dataset containing 72 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Bathytoshia lata"
 ]
}

 The dataset includes 72 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004408-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mk7wg5
title: Occurrence Download

description: A dataset containing 365 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Entada polystachya"
 ]
}

 The dataset includes 365 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004409-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17650506
title: Dataset for detecting large woody debris

description: This dataset supports the study of large woody debris (LWD) detection in braided river systems using UAV-based remote sensing, deep learning (DL), and machine learning (ML) methods. It contains multi-temporal RGB UAV imagery acquired in March 2024 and July 2024, a high-resolution Digital Surface Model (DSM) used for texture and morphological feature engineering, manually annotated training samples, and a pre-trained deep learning segmentation model. These data form the core of the analytical framework used to assess the performance, accuracy, and transferability of different LWD detection strategies. Braided rivers are highly dynamic environments where sediment mobility and channel migration create complex geomorphological and ecological conditions. Disturbance of riparian vegetation contributes to the formation and transport of LWD, which plays a critical role in maintaining habitat heterogeneity and ecosystem functioning. However, LWD detection remains challenging due to its heterogeneous shapes, spectral similarity to surrounding materials, and the rapidly changing geomorphic context. The provided dataset enables systematic comparison of (i) deep learning and traditional machine learning methods, (ii) pixel-based versus object-based image analysis, and (iii) binary (LWD vs. non-LWD) versus multi-class classification strategies. The included DSM and derived feature layers (e.g., vegetation indices, texture metrics, edge features) support advanced feature engineering, while the pre-trained model allows transfer learning and cross-site validation. The dataset underpins the conclusion that DL approaches achieve superior performance in mapping the true spatial distribution of LWD and exhibit strong transferability to new areas.
DOI: 10.5281/zenodo.17650507
title: Dataset for detecting large woody debris

description: This dataset supports the study of large woody debris (LWD) detection in braided river systems using UAV-based remote sensing, deep learning (DL), and machine learning (ML) methods. It contains multi-temporal RGB UAV imagery acquired in March 2024 and July 2024, a high-resolution Digital Surface Model (DSM) used for texture and morphological feature engineering, manually annotated training samples, and a pre-trained deep learning segmentation model. These data form the core of the analytical framework used to assess the performance, accuracy, and transferability of different LWD detection strategies. Braided rivers are highly dynamic environments where sediment mobility and channel migration create complex geomorphological and ecological conditions. Disturbance of riparian vegetation contributes to the formation and transport of LWD, which plays a critical role in maintaining habitat heterogeneity and ecosystem functioning. However, LWD detection remains challenging due to its heterogeneous shapes, spectral similarity to surrounding materials, and the rapidly changing geomorphic context. The provided dataset enables systematic comparison of (i) deep learning and traditional machine learning methods, (ii) pixel-based versus object-based image analysis, and (iii) binary (LWD vs. non-LWD) versus multi-class classification strategies. The included DSM and derived feature layers (e.g., vegetation indices, texture metrics, edge features) support advanced feature engineering, while the pre-trained model allows transfer learning and cross-site validation. The dataset underpins the conclusion that DL approaches achieve superior performance in mapping the true spatial distribution of LWD and exhibit strong transferability to new areas.
DOI: 10.15468/dl.3r5yqm
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phaeotheca",
 "HasCoordinate is true"
 ]
}

 The dataset includes 35 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004410-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3xx9ww
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Dasyatis chrysonota"
 ]
}

 The dataset includes 25 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004412-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ag3j4n
title: Occurrence Download

description: A dataset containing 727 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Enterolobium cyclocarpum"
 ]
}

 The dataset includes 727 records from 81 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004413-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/vphz-k629
title: "Localization of Radio Frequency Sources based on Received Signal Power"

description: "Accurate estimation of the large-scale path-loss coefficient is essential for reliable localization of unknown radio frequency (RF) sources. Traditional empirical path-loss models use fixed coefficients but fail to capture spatial and environmental variability. This work presents a data-driven approach that learns the path-loss coefficient from real-world received power measurements using regression with transmission frequency, geolocation and automatically classified terrain features derived from public available satellite imagery. The predicted coefficients are converted into distance estimates and integrated into a robust 3D multilateration framework to determine RF transmitter\u2019s location. Experimental results show improved localization accuracy and generalization compared to fixed-coefficient models, demonstrating the method\u2019s practicality for field deployment using standard measurement logs."
DOI: 10.15468/dl.v25uq2
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Dasyatis hastata"
 ]
}

 The dataset includes 32 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004414-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.94brwk
title: Occurrence Download

description: A dataset containing 163 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Eremocarya micrantha"
 ]
}

 The dataset includes 163 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004416-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3a6atx
title: Occurrence Download

description: A dataset containing 2248 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Toxicocladosporium",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2248 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004415-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t3ybu9
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Dasyatis hypostigma"
 ]
}

 The dataset includes 23 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004417-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ztebhs
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Begonia chlorolepis"
 ]
}

 The dataset includes 44 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004418-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qckg5w
title: Occurrence Download

description: A dataset containing 54 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Eremosis barbinervis"
 ]
}

 The dataset includes 54 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004419-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.af8ky8
title: Occurrence Download

description: A dataset containing 37293 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Capsicum"
 ]
}

 The dataset includes 37293 records from 660 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004420-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4yawhk
title: Occurrence Download

description: A dataset containing 234 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-67.00003 -24.83835,-65.86412 -24.83835,-65.86412 -23.28784,-67.00003 -23.28784,-67.00003 -24.83835))",
 "TaxonKey is Oressochen melanopterus (Eyton, 1838)"
 ]
}

 The dataset includes 234 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015874-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.86g3p3
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((107.51461 -8.03074,108.2424 -8.03074,108.2424 -7.28873,107.51461 -7.28873,107.51461 -8.03074))",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is VU",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 24 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006880-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gsb9a9
title: Occurrence Download

description: A dataset containing 3056 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Spodoptera littoralis"
 ]
}

 The dataset includes 3056 records from 92 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006884-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mrdpfp
title: Occurrence Download

description: A dataset containing 42 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((107.51461 -8.03074,108.2424 -8.03074,108.2424 -7.28873,107.51461 -7.28873,107.51461 -8.03074))",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is NT",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 42 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006883-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5a43s4
title: Occurrence Download

description: A dataset containing 2272 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((107.51461 -8.03074,108.2424 -8.03074,108.2424 -7.28873,107.51461 -7.28873,107.51461 -8.03074))",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is LC",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 2272 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006885-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yrqym5
title: Occurrence Download

description: A dataset containing 3268568 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Observation, Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is one of (CC0 1.0, CC-BY 4.0, CC-BY-NC 4.0)",
 "OccurrenceStatus is Present",
 "TaxonKey is Ranunculales",
 "Year 2020-2024"
 ]
}

 The dataset includes 3268568 records from 2401 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006815-251120083545085/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.29109217
title: Optimal condition-based maintenance of asphalt-concrete pavement systems

description: Maintenance is a necessary to keep assets, in this case, a pavement system, in good condition. Spending too much on maintenance is not efficient, while not spending enough may cause the condition to drop below a desired level. Therefore, in this paper, a conceptual approach, based on systems and control theory, is developed to improve the efficiency of maintenance of a pavement system, compared to the currently used maintenance approach where often only fixed bounds of the condition determine whether or not a maintenance action is required.  A state-space description of the condition of the pavement system is chosen for predicting the future evolution of the health condition. This allows the use of a moving-horizon optimisation approach, to determine optimal anticipative maintenance actions. Furthermore, in this approach, the maintenance cost and the condition of the pavement system are optimised. This model-based approach can be applied in practice as well-documented data, from which degradation models can be constructed, are often available. In this paper, we also show how degradation models from the literature can be converted for use in the proposed condition-based maintenance approach. Note that because of the general character of the proposed maintenance optimisation approach, the degradation model and the chosen optimisation method that are used as illustration in this paper can easily be replaced by another one, depending on the needs of the user. A case study is performed, where a representative situation is considered using the developed approach and the maintenance approach currently used in practice. This case study shows how the approach works and what the cost reduction can be assuming that the models are accurate. The paper ends with a discussion and recommendations.
DOI: 10.6084/m9.figshare.28868918
title: Manipulations with the wooden model of the <i>Pteronisculus</i> skull

description: In ray-finned fish, the symplectic together with the palatoquadrate ossification and the hyomandibula forms the suspensorium. However, in paleoniscoids, the suspensorium was not formed, and the symplectic was attached to the lower jaw behind the jaw joint. Modern hypotheses do not take into account certain symplectic morphofunctional features in paleoniscoids. Meanwhile, understanding the biomechanics of the paleoniscoid skull is important for hypothesizing about the evolution of ray-finned fish. Drawing on literature data about the structure of paleoniscoid heads, we conducted a graphical analysis of force distribution in the skull of a basal representative of the genus <i>Pteronisculus</i> during the hyoid retraction and tested it on a wooden skull model. We found previously unrecognized mechanical connection between the expansion of the oropharyngeal cavity and the opening of the mouth. This mechanism may serve as an alternative to the opercular mouth-opening mechanism in modern bony fishes.
DOI: 10.5281/zenodo.15471672
title: Dataset of "Role of Random Texture Scattering on the Absorptance Enhancement in Halide Perovskite Layers"

description: In this contribution, absorption enhancements due to nano-rough but also micro-rough substrates with or without additional gold coating are evaluated from the point of gains in photocurrent and from the point of view of valid optical models. We find that light trapping from nanotextured substrates follows mainly Yablonovitch model leading to an apparent shift of absorption edge. This contrasts with micro-rough substrates and also the remarkable efficient light trapping capabilities of bare layers due to their native surface roughness, where the path enhancement in this case is almost uniform, making the layer optically thicker by factor two or more.
DOI: 10.15468/dl.ttua65
title: Occurrence Download

description: A dataset containing 3799 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-28.87494 38.46758,-28.57511 38.46758,-28.57511 38.68707,-28.87494 38.68707,-28.87494 38.46758))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Araneae"
 ]
}

 The dataset includes 3799 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009567-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/12010045
title: Grape Leaf Diseases Plant Village Augmented Data