cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.sb3eg6
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Continent is North America",
 "Continent is South America"
 ]
 },
 "CoordinateUncertaintyInMeters 17.0-3529.0",
 "HasCoordinate is false",
 "TaxonKey is Desmodus rotundus (E.Geoffroy, 1810)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038035-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cmwn54
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cuscuta choisiana Yunck."
 ]
}

 The dataset includes 15 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0241872-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f8takm
title: Occurrence Download

description: A dataset containing 12175 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 {
 "or" : [
 "Country is United States of America",
 "Country is Canada"
 ]
 },
 "TaxonKey is Bubo virginianus (J.F.Gmelin, 1788)"
 ]
}

 The dataset includes 12175 records from 95 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0226987-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cmaccb
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-90.45376 -54.27817,-51.54624 -54.27817,-51.54624 -38.72183,-90.45376 -38.72183,-90.45376 -54.27817))",
 "HasCoordinate is true",
 "TaxonKey is Hippocamelus bisulcus (Molina, 1782)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 25 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010896-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.854vzd
title: Occurrence Download

description: A dataset containing 42875 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bufo spinosus Daudin, 1803",
 "HasCoordinate is true",
 "Year is greater than or equal to 2011",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 42875 records from 998 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050733-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/o1l6fpaq
title: Image COCO

description: The Image COCO 3 dataset’s image caption annotations, where we sample 4 10,000 sentences as training set and another 10,000 as test set.
DOI: 10.57702/g9bnyrbq
title: Binary Bits Dataset

description: The dataset used in this paper is a collection of binary bits, turbo encoded and decoded using the proposed RNN architecture.
DOI: 10.57702/3o53y8if
title: ZDT3

description: The dataset used in the paper is a ZDT3 dataset, which is a classic benchmark problem in multi-objective optimization.
DOI: 10.57702/fh0fva6p
title: MIMIC-IV

description: The dataset used in the paper is a healthcare dataset containing patient information, including vital signs, lab values, and medication administration. The dataset is used to train and evaluate the proposed temporal point process approach for abnormal event explanation.
DOI: 10.57702/sarcsb51
title: DrawTextExt

description: The dataset is used to train the GlyphDraw model for visual text generation. It contains 792k images with 3.3M characters in images and more than 4.8k common unique Chinese characters.
DOI: 10.57702/ko6qea8b
title: Deep polynomial regression

description: Polynomial regression problem with naturally strong outliers. In such a setting a polynomial motion model for a moving scene is interpreted as the dominant scene motion stemming from camera motion.
DOI: 10.57702/lswgk78g
title: 3DMatch Benchmark

description: The 3DMatch dataset is a benchmark for 3D matching tasks. It contains 62 different real-world scenes retrieved from various datasets.
DOI: 10.57702/99xr46p0
title: ATIS Intent Classification dataset

description: The dataset used in this paper is a noisy annotated dataset obtained from a zero-shot learner based module.
DOI: 10.57702/2ozzw8uo
title: Underwater Caves Sonar Dataset

description: An underwater caves sonar dataset.
DOI: 10.57702/nys3bq6y
title: MultiDex

description: The dataset used in the paper is the MultiDex dataset.
DOI: 10.57702/f0e5pjrm
title: Heart Failure

description: The dataset is used for digital pathology and contains histology data from various sources.
DOI: 10.57702/myfo9lpg
title: Yeast dataset

description: The Yeast dataset is a graph dataset constructed based on the interactions between proteins. Each node represents a gene. The gene code information is set as the feature of nodes. The task is to predict the function of these genes.
DOI: 10.57702/s6nmhjvl
title: DBLP co-authorship network

description: DBLP co-authorship network
DOI: 10.57702/9pc07me1
title: MIMIC-II Dataset

description: The MIMIC-II dataset is a filtered and processed version of the Multi-Parameter Intelligent Monitoring in Intensive Care II (MIMIC-II) Waveform database containing records of continuous high-resolution physiologic waveforms and minute-by-minute numeric trends of physiologic measurements.
DOI: 10.57702/d59lmk74
title: Gaussian Graphical Models

description: The dataset used in the paper is a collection of n independent samples from a multivariate normal distribution defined on a graph G = (V, E) with |V| = p and bounded maximum degree d.
DOI: 10.57702/a814422p
title: XDAWN dataset

description: The dataset used for the experiments on the XDAWN algorithm
DOI: 10.57702/ws9hp2ns
title: CenterNet 3D

description: 3D object detection using center points
DOI: 10.57702/4bqbt6wx
title: UKBench dataset

description: The UKBench dataset contains images of people from different cultures and countries.
DOI: 10.57702/lnsfjahn
title: Millionsong

description: The dataset used in the paper is a ridge regression problem (Millionsong) and a support vector machine (RCV1) and a matrix completion problem (Netﬂix) on a large-scale optimization problems.
DOI: 10.57702/9pg3xtth
title: Multi-Modality Whole-Heart Segmentation

description: The dataset used in the paper for whole heart segmentation.
DOI: 10.57702/z2sasqge
title: SBU Dataset

description: The SBU dataset, a widely used benchmark for shadow detection, consisting of 4,089 pairs of shadow images and shadow masks.
DOI: 10.5281/zenodo.15138361
title: TABLE 5 in Small naviculoid species of Kobayasiella Lange-Bertalot, Adlafia Moser, Lange-Bertalot & Metzeltin, Nupela Vyverman & Compère and Sellaphora Mereschowsky from Tursujuq National Park, Hudson Bay region, Nunavik, Québec

description: TABLE 5. — Comparison of distinct morphological traits among the genera Kobayasiella Lange-Bertalot, Adlafia Moser, Lange-Bertalot & Metzeltin, Nupela Vyverman & Compère, and Sellaphora Mereschkowski.
KobayasiellaAdlafiaNupelaSellaphoraFrustuleLight to moderately silicified ––––ShapeLinear-elliptic, linear- lanceolate–––RapheStraight and filiformLinear to weakly curved–Slightly deflected and curvedUmbilicusKink-like irregularity closer to valve apices along the raphe fissureAbsent––Terminal raphe fissureHooks on the valve face, does not continue onto the mantleBends in the same direction and extends to the mantle–Terminates in a long helictoglossaAreolae–Large and round, covered externally by a multiseriate hymen and a silica layer at the outer periphery of each areolaElliptical in outline, externally covered with a hymenPresence of hymen that obscures small areolae detailsStriaeAlveolae-like apertures with – recessed pores, arranged radially at the mid-valve changing to convergent at the Voigt fault and then extending to the apices–––Internal structureNarrow raised sternum, – straight or T-shaped proximal ends of the raphe, small raised helictoglossa at the distal end––Central raphe ends deflected, terminal raphe fissure terminates in a long helictoglossaGenetic affiliation–Distant from Kobayasiella, aligned with Geissleria and PlaconeisChloroplast genetic affinity to Pinnularia and StauroneisGenetically associated with Eolimna
description: Published as part of Alibert, Marie, Hamilton, Paul B., Pienitz, Reinhard & Antoniades, Dermot, 2023, Small naviculoid species of Kobayasiella Lange-Bertalot, Adlafia Moser, Lange-Bertalot & Metzeltin, Nupela Vyverman & Compère and Sellaphora Mereschowsky from Tursujuq National Park, Hudson Bay region, Nunavik, Québec, pp. 182 in Cryptogamie, Algologie 20 (9) on page 182, DOI: 10.5252/cryptogamie-algologie2023v44a9, http://zenodo.org/record/10376356
DOI: 10.6084/m9.figshare.30040564
title: MorphoGenie- Generalizable Morphological Profiling of Cells by Interpretable Unsupervised Learning

description: The intersection of advanced microscopy and machine learning is transforming the field of cell biology, enabling a more quantitative and data-driven approach. Traditional methods of morphological profiling, which rely on manual feature extraction, are often time-consuming, labor-intensive, and susceptible to human bias. Deep learning offers a promising alternative, but its effectiveness is hindered by its "black-box" operation and its dependence on extensive labeled data. MorphoGenie addresses these challenges by introducing an unsupervised deep-learning framework for single-cell morphological profiling. By integrating high-fidelity image reconstructions with disentangled representation learning, MorphoGenie facilitates discovery of a compact, interpretable latent space. This allows for the extraction of biologically meaningful features without human annotation, overcoming the "curse of dimensionality" inherent in manual methods. MorphoGenie stands out in three key attributes: High-fidelity Image Reconstruction: MorphoGenie utilizes a hybrid architecture that capitalizes on the unparalleled strengths of the variant of variational Autoencoders (VAEs) and generative Adversarial Networks (GANs) to achieve interpretable, high-quality cell image generation. Interpretability: MorphoGenie adopts a VAE-based method to learn a compact, interpretable, and transferable disentangled representation for single-cell morphological analysis. In contrast to the prior work, we propose a novel technique for interpreting the learned representation by extracting handcrafted features from reconstructed images produced by latent traversals, facilitating the discovery of biologically meaningful inferences, especially the heterogeneities of cell types and lineages. Generalizability: MorphoGenie is widely adaptable across various imaging modalities and experimental conditions, promoting cross-study comparisons and reusable morphological profiling results. The model generalizes to unseen single-cell datasets and different imaging modalities while providing explanations for its predictions. Overall, MorphoGenie could spearhead new strategies for conducting comprehensive morphological profiling and make biologically meaningful discoveries across a wide range of imaging modality.
DOI: 10.6084/m9.figshare.30040564.v1
title: MorphoGenie- Generalizable Morphological Profiling of Cells by Interpretable Unsupervised Learning

description: The intersection of advanced microscopy and machine learning is transforming the field of cell biology, enabling a more quantitative and data-driven approach. Traditional methods of morphological profiling, which rely on manual feature extraction, are often time-consuming, labor-intensive, and susceptible to human bias. Deep learning offers a promising alternative, but its effectiveness is hindered by its "black-box" operation and its dependence on extensive labeled data. MorphoGenie addresses these challenges by introducing an unsupervised deep-learning framework for single-cell morphological profiling. By integrating high-fidelity image reconstructions with disentangled representation learning, MorphoGenie facilitates discovery of a compact, interpretable latent space. This allows for the extraction of biologically meaningful features without human annotation, overcoming the "curse of dimensionality" inherent in manual methods. MorphoGenie stands out in three key attributes: High-fidelity Image Reconstruction: MorphoGenie utilizes a hybrid architecture that capitalizes on the unparalleled strengths of the variant of variational Autoencoders (VAEs) and generative Adversarial Networks (GANs) to achieve interpretable, high-quality cell image generation. Interpretability: MorphoGenie adopts a VAE-based method to learn a compact, interpretable, and transferable disentangled representation for single-cell morphological analysis. In contrast to the prior work, we propose a novel technique for interpreting the learned representation by extracting handcrafted features from reconstructed images produced by latent traversals, facilitating the discovery of biologically meaningful inferences, especially the heterogeneities of cell types and lineages. Generalizability: MorphoGenie is widely adaptable across various imaging modalities and experimental conditions, promoting cross-study comparisons and reusable morphological profiling results. The model generalizes to unseen single-cell datasets and different imaging modalities while providing explanations for its predictions. Overall, MorphoGenie could spearhead new strategies for conducting comprehensive morphological profiling and make biologically meaningful discoveries across a wide range of imaging modality.
DOI: 10.15468/dl.bw4xt6
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Paralepetopsis floridensis J.H.McLean, 1990"
 ]
}

 The dataset includes 11 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0095112-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a3s56f
title: Occurrence Download

description: A dataset containing 16164 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "OccurrenceStatus is Present",
 "TaxonKey is Culicidae"
 ]
}

 The dataset includes 16164 records from 99 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0155213-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c3nb44
title: Occurrence Download

description: A dataset containing 305 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mazama pandora Merriam, 1901"
 ]
}

 The dataset includes 305 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0142922-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n2v9r8
title: Occurrence Download

description: A dataset containing 835 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-81.7314329999999956 30.3085033000000017, -81.7314329999999956 30.3112911300000007, -81.7314329999999956 30.3138931000000014, -81.7314329999999956 30.3166809199999996, -81.7314329999999956 30.3203980199999990, -81.7314329999999956 30.3224424299999988, -81.7314329999999956 30.3270887999999985, -81.7280961299999973 30.3270887999999985, -81.7227208599999955 30.3270887999999985, -81.7190137799999974 30.3270887999999985, -81.7136385200000035 30.3270887999999985, -81.7080779000000064 30.3270887999999985, -81.7056678000000005 30.3270887999999985, -81.7056678000000005 30.3243009800000003, -81.7056678000000005 30.3209555900000005, -81.7056678000000005 30.3159375000000004, -81.7056678000000005 30.3116628400000003, -81.7056678000000005 30.3085033000000017, -81.7091900300000020 30.3085033000000017, -81.7121556900000030 30.3085033000000017, -81.7156774099999978 30.3085033000000017, -81.7190137799999974 30.3085033000000017, -81.7229062199999987 30.3085033000000017, -81.7266132999999968 30.3085033000000017, -81.7314329999999956 30.3085033000000017))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1932",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Observation, Specimen, Machine Observation)"
 ]
}

 The dataset includes 835 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083293-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qqynzr
title: Occurrence Download

description: A dataset listing the 3 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Castanopsis fargesii Franch."
 ]
}

 The dataset's 3 records were derived from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0095098-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9tqbpz
title: Occurrence Download

description: A dataset containing 1826 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Planococcus minor (Maskell, 1897)"
 ]
}

 The dataset includes 1826 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066021-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uqg2qz
title: Occurrence Download

description: A dataset containing 183 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Mexico, United States of America)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Agave filifera Salm-Dyck"
 ]
}

 The dataset includes 183 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0118319-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rfd4bx
title: Occurrence Download

description: A dataset containing 604 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Megadontomys cryophilus (Musser, 1964)"
 ]
}

 The dataset includes 604 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0142924-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bsm6hy
title: Occurrence Download

description: A dataset containing 47 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-81.7172235999999970 30.2778723999999997, -81.7172235999999970 30.2782812099999994, -81.7172235999999970 30.2782948400000009, -81.7172235999999970 30.2788262900000014, -81.7172235999999970 30.2788399199999994, -81.7172235999999970 30.2788535400000001, -81.7172235999999970 30.2789761900000016, -81.7172235999999970 30.2789898099999988, -81.7172235999999970 30.2790034400000003, -81.7172235999999970 30.2790170699999983, -81.7172235999999970 30.2792351000000011, -81.7169235199999946 30.2792351000000011, -81.7165961399999929 30.2792351000000011, -81.7162823999999972 30.2792351000000011, -81.7159004500000066 30.2792351000000011, -81.7155048700000037 30.2792351000000011, -81.7150956400000013 30.2792351000000011, -81.7149728800000048 30.2792351000000011, -81.7145500099999964 30.2792351000000011, -81.7143317599999932 30.2792351000000011, -81.7138134000000065 30.2792351000000011, -81.7134587399999930 30.2792351000000011, -81.7130358800000067 30.2792351000000011, -81.7125584500000031 30.2792351000000011, -81.7122037999999975 30.2792351000000011, -81.7122037999999975 30.2790443200000006, -81.7122037999999975 30.2787036500000006, -81.7122037999999975 30.2785809999999991, -81.7122037999999975 30.2780222999999999, -81.7122037999999975 30.2780086699999984, -81.7122037999999975 30.2779814199999997, -81.7122037999999975 30.2779677900000017, -81.7122037999999975 30.2779269100000015, -81.7122037999999975 30.2778860300000012, -81.7122037999999975 30.2778723999999997, -81.7124493200000046 30.2778723999999997, -81.7127630600000003 30.2778723999999997, -81.7131177199999996 30.2778723999999997, -81.7134860200000048 30.2778723999999997, -81.7137042800000017 30.2778723999999997, -81.7140180199999975 30.2778723999999997, -81.7143726799999968 30.2778723999999997, -81.7146045700000059 30.2778723999999997, -81.7149319499999933 30.2778723999999997, -81.7153275400000041 30.2778723999999997, -81.7156412799999998 30.2778723999999997, -81.7159413800000038 30.2778723999999997, -81.7162960400000031 30.2778723999999997, -81.7164733700000028 30.2778723999999997, -81.7168143899999961 30.2778723999999997, -81.7172235999999970 30.2778723999999997))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1932",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Observation, Specimen, Machine Observation)"
 ]
}

 The dataset includes 47 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083304-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4cwmvx
title: Occurrence Download

description: A dataset containing 63 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Paramontana exilis (Pease, 1860)"
 ]
}

 The dataset includes 63 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0095115-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.88vf88
title: Occurrence Download

description: A dataset containing 2796 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Melanomys caliginosus (Tomes, 1860)"
 ]
}

 The dataset includes 2796 records from 78 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0142925-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zzzsds
title: Occurrence Download

description: A dataset containing 366 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Argentina",
 "TaxonKey is Anemia tomentosa (Savigny) Sw."
 ]
}

 The dataset includes 366 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083294-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d7uyvk
title: Occurrence Download

description: A dataset containing 30733 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Year is greater than or equal to 1970",
 "TaxonKey is Halyomorpha halys (Stål, 1855)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 30733 records from 95 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0095117-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.