cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.wepab6
title: Occurrence Download

description: A dataset containing 294 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Isoetes malinverniana Ces. & De Not."
 ]
}

 The dataset includes 294 records from 62 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025144-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5ek4zg
title: Occurrence Download

description: A dataset containing 3153 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Syrphus torvus Osten Sacken, 1875",
 "PhylumKey is Arthropoda",
 "Year is greater than or equal to 1992",
 "Year is less than or equal to 2012",
 "Geometry POLYGON((-26 34, 42 34, 42 70, -26 70, -26 34))"
 ]
}

 The dataset includes 3153 records from 102 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025145-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11554279
title: WiFiCam Dataset | Through-Wall Imaging based on WiFi Channel State Information

description: Through-Wall Imaging based on WiFi Channel State Information

This repository contains the WiFiCam dataset for through-wall imaging based on WiFi channel state information proposed in [1]. The corresponding source code repository is located at: https://github.com/StrohmayerJ/wificam

The demo video (demo.mp4) showcases the through-wall imaging capabilities of our approach. 

 

Dataset Structure

/wificam

├── j3

       └── 320  <-- 320x240 resolution subset

              └── csi.csv <-- raw WiFi packet sequence recorded with the ESP32-S3

              └── csiComplex.npy <-- complex CSI sequence (cache)

              └── 92108.png <-- 320x240 RGB image

              └── 92112.png

              └── ...

       └── 640 <-- 640x480 resolution subset

              └── csi.csv <-- raw WiFi packet sequence recorded with the ESP32-S3

              └── csiComplex.npy <-- complex CSI sequence (cache)

              └── 154.png <-- 640x480 RGB image

              └── 155.png

              └── ...

├── statistics320.csv <-- per-channel means and standard deviations for 320x240 images

├── statistics640.csv <-- per-channel means and standard deviations for 640x480 images

 

Download and UseThis data may be used for non-commercial research purposes only. If you publish material based on this data, we request that you include a reference to our paper [1].

[1] J. Strohmayer, R. Sterzinger, C. Stippel and M. Kampel, "Through-Wall Imaging Based On WiFi Channel State Information," 2024 IEEE International Conference on Image Processing (ICIP), Abu Dhabi, United Arab Emirates, 2024, pp. 4000-4006, doi: 10.1109/ICIP51287.2024.10647775.

BibTeX:

@INPROCEEDINGS{10647775,
  author={Strohmayer, Julian and Sterzinger, Rafael and Stippel, Christian and Kampel, Martin},
  booktitle={2024 IEEE International Conference on Image Processing (ICIP)}, 
  title={Through-Wall Imaging Based On WiFi Channel State Information}, 
  year={2024},
  volume={},
  number={},
  pages={4000-4006},
  doi={10.1109/ICIP51287.2024.10647775}}
DOI: 10.5281/zenodo.11554280
title: WiFiCam Dataset | Through-Wall Imaging based on WiFi Channel State Information

description: Through-Wall Imaging based on WiFi Channel State Information

This repository contains the WiFiCam dataset for through-wall imaging based on WiFi channel state information proposed in [1]. The corresponding source code repository is located at: https://github.com/StrohmayerJ/wificam

The demo video (demo.mp4) showcases the through-wall imaging capabilities of our approach. 

 

Dataset Structure

/wificam

├── j3

       └── 320  <-- 320x240 resolution subset

              └── csi.csv <-- raw WiFi packet sequence recorded with the ESP32-S3

              └── csiComplex.npy <-- complex CSI sequence (cache)

              └── 92108.png <-- 320x240 RGB image

              └── 92112.png

              └── ...

       └── 640 <-- 640x480 resolution subset

              └── csi.csv <-- raw WiFi packet sequence recorded with the ESP32-S3

              └── csiComplex.npy <-- complex CSI sequence (cache)

              └── 154.png <-- 640x480 RGB image

              └── 155.png

              └── ...

├── statistics320.csv <-- per-channel means and standard deviations for 320x240 images

├── statistics640.csv <-- per-channel means and standard deviations for 640x480 images

 

Download and UseThis data may be used for non-commercial research purposes only. If you publish material based on this data, we request that you include a reference to our paper [1].

[1] J. Strohmayer, R. Sterzinger, C. Stippel and M. Kampel, "Through-Wall Imaging Based On WiFi Channel State Information," 2024 IEEE International Conference on Image Processing (ICIP), Abu Dhabi, United Arab Emirates, 2024, pp. 4000-4006, doi: 10.1109/ICIP51287.2024.10647775.

BibTeX:

@INPROCEEDINGS{10647775,
  author={Strohmayer, Julian and Sterzinger, Rafael and Stippel, Christian and Kampel, Martin},
  booktitle={2024 IEEE International Conference on Image Processing (ICIP)}, 
  title={Through-Wall Imaging Based On WiFi Channel State Information}, 
  year={2024},
  volume={},
  number={},
  pages={4000-4006},
  doi={10.1109/ICIP51287.2024.10647775}}
DOI: 10.15468/dl.usm9cv
title: Occurrence Download

description: A dataset containing 280 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Xanthogramma citrofasciatum (De Geer, 1776)",
 "PhylumKey is Arthropoda",
 "Year is greater than or equal to 1992",
 "Year is less than or equal to 2012",
 "Geometry POLYGON((-26 34, 42 34, 42 70, -26 70, -26 34))"
 ]
}

 The dataset includes 280 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025147-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wfu8yq
title: Occurrence Download

description: A dataset containing 89 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Locality is Betânia do Piauí",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 1937-2024"
 ]
}

 The dataset includes 89 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025151-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uyxqm7
title: Occurrence Download

description: A dataset containing 1434 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Xylota sylvarum (Linnaeus, 1758)",
 "PhylumKey is Arthropoda",
 "Year is greater than or equal to 1992",
 "Year is less than or equal to 2012",
 "Geometry POLYGON((-26 34, 42 34, 42 70, -26 70, -26 34))"
 ]
}

 The dataset includes 1434 records from 100 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025152-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xfbx6n
title: Occurrence Download

description: A dataset containing 782 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Ilione albiseta (Scopoli, 1763)",
 "PhylumKey is Arthropoda",
 "Year is greater than or equal to 1992",
 "Year is less than or equal to 2012",
 "Geometry POLYGON((-26 34, 42 34, 42 70, -26 70, -26 34))"
 ]
}

 The dataset includes 782 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025154-241007104925546/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/9677361
title: Phone Information 2024
DOI: 10.15468/dl.g3fyvg
title: Occurrence Download

description: A dataset containing 1478 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Pherbina coryleti (Scopoli, 1763)",
 "PhylumKey is Arthropoda",
 "Year is greater than or equal to 1992",
 "Year is less than or equal to 2012",
 "Geometry POLYGON((-26 34, 42 34, 42 70, -26 70, -26 34))"
 ]
}

 The dataset includes 1478 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025155-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4ru2xz
title: Occurrence Download

description: A dataset containing 798 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Sepedon spinipes (Scopoli, 1763)",
 "PhylumKey is Arthropoda",
 "Year is greater than or equal to 1992",
 "Year is less than or equal to 2012",
 "Geometry POLYGON((-26 34, 42 34, 42 70, -26 70, -26 34))"
 ]
}

 The dataset includes 798 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025156-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mmebz7
title: Occurrence Download

description: A dataset containing 281 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Ilione lineata (Fallén, 1820)",
 "PhylumKey is Arthropoda",
 "Year is greater than or equal to 1992",
 "Year is less than or equal to 2012",
 "Geometry POLYGON((-26 34, 42 34, 42 70, -26 70, -26 34))"
 ]
}

 The dataset includes 281 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025158-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8ayzb2
title: Occurrence Download

description: A dataset containing 814 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Tetanocera arrogans Meigen, 1830",
 "PhylumKey is Arthropoda",
 "Year is greater than or equal to 1992",
 "Year is less than or equal to 2012",
 "Geometry POLYGON((-26 34, 42 34, 42 70, -26 70, -26 34))"
 ]
}

 The dataset includes 814 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025159-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h4mynu
title: Occurrence Download

description: A dataset containing 1743 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Tetanocera ferriginea Fallén, 1820",
 "PhylumKey is Arthropoda",
 "Year is greater than or equal to 1992",
 "Year is less than or equal to 2012",
 "Geometry POLYGON((-26 34, 42 34, 42 70, -26 70, -26 34))"
 ]
}

 The dataset includes 1743 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025160-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3v2n3n
title: Occurrence Download

description: A dataset containing 106 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Pherbellia nana (Fallén, 1820)",
 "PhylumKey is Arthropoda",
 "Year is greater than or equal to 1992",
 "Year is less than or equal to 2012",
 "Geometry POLYGON((-26 34, 42 34, 42 70, -26 70, -26 34))"
 ]
}

 The dataset includes 106 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025161-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13957334
title: Chair Manufacturing Frame Dataset

description: This dataset consists of images of various chair frames, primarily metallic structures, captured from different angles and positions. The dataset is being developed for public access to facilitate research and development in pose estimation technologies in our further studies. The chairs present a unique challenge for pose detection algorithms due to their structural uniformity and repetitive patterns. To enhance the dataset’s utility, each image is captured under controlled lighting conditions, with attention to minimizing noise and occlusions that could affect the accuracy of pose estimation models. The dataset includes multiple instances of the same chair model with varying degrees of rotation and translation, providing a comprehensive basis for training convolutional neural networks (CNNs) and other machine learning algorithms commonly used in pose estimation tasks. The inherent symmetries in the chair frames create a demanding testbed for feature extraction and keypoint detection, as traditional algorithms may struggle to distinguish between similar geometric structures. In our studies, we aim to incorporate advanced techniques such as 3D point cloud generation and use of depth maps to improve the precision of pose detection, leveraging both monocular and stereo vision systems. Additionally, we plan to explore the use of synthetic data augmentation methods to increase the dataset's diversity and robustness, which is critical for developing generalizable models in real-world applications. This dataset will not only support pose estimation research but will also contribute to broader studies in object recognition, segmentation, and tracking in dynamic environments. The upcoming scientific research in out lab will focus on "Chair Pose Estimation," aiming to leverage machine learning and computer vision techniques to accurately detect and model the pose of chairs in different environments. This research has practical applications in automation, robotic interaction with furniture, and augmented reality. The dataset will be made publicly available, enabling the academic and industrial community to conduct further research and develop solutions in pose estimation and related fields.
DOI: 10.5281/zenodo.13957335
title: Chair Manufacturing Frame Dataset

description: This dataset consists of images of various chair frames, primarily metallic structures, captured from different angles and positions. The dataset is being developed for public access to facilitate research and development in pose estimation technologies in our further studies. The chairs present a unique challenge for pose detection algorithms due to their structural uniformity and repetitive patterns. To enhance the dataset’s utility, each image is captured under controlled lighting conditions, with attention to minimizing noise and occlusions that could affect the accuracy of pose estimation models. The dataset includes multiple instances of the same chair model with varying degrees of rotation and translation, providing a comprehensive basis for training convolutional neural networks (CNNs) and other machine learning algorithms commonly used in pose estimation tasks. The inherent symmetries in the chair frames create a demanding testbed for feature extraction and keypoint detection, as traditional algorithms may struggle to distinguish between similar geometric structures. In our studies, we aim to incorporate advanced techniques such as 3D point cloud generation and use of depth maps to improve the precision of pose detection, leveraging both monocular and stereo vision systems. Additionally, we plan to explore the use of synthetic data augmentation methods to increase the dataset's diversity and robustness, which is critical for developing generalizable models in real-world applications. This dataset will not only support pose estimation research but will also contribute to broader studies in object recognition, segmentation, and tracking in dynamic environments. The upcoming scientific research in out lab will focus on "Chair Pose Estimation," aiming to leverage machine learning and computer vision techniques to accurately detect and model the pose of chairs in different environments. This research has practical applications in automation, robotic interaction with furniture, and augmented reality. The dataset will be made publicly available, enabling the academic and industrial community to conduct further research and develop solutions in pose estimation and related fields.
DOI: 10.15468/dl.828hak
title: Occurrence Download

description: A dataset containing 988 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Hydromya dorsalis (Fabricius, 1775)",
 "PhylumKey is Arthropoda",
 "Year is greater than or equal to 1992",
 "Year is less than or equal to 2012",
 "Geometry POLYGON((-26 34, 42 34, 42 70, -26 70, -26 34))"
 ]
}

 The dataset includes 988 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025162-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6sjmhz
title: Occurrence Download

description: A dataset containing 233 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Rumex hastatus D.Don",
 "Year 1970-2024"
 ]
}

 The dataset includes 233 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025164-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2658cs
title: Occurrence Download

description: A dataset containing 4212 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "CoordinateUncertaintyInMeters 0.0-9959.0",
 "Geometry POLYGON((-124.30898 25.11417,-66.94034 25.11417,-66.94034 48.19704,-124.30898 48.19704,-124.30898 25.11417))",
 "TaxonKey is Bromus tectorum L."
 ]
}

 The dataset includes 4212 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025163-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.edt364
title: Occurrence Download

description: A dataset containing 1022 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Sepedon sphegea (Fabricius, 1775)",
 "PhylumKey is Arthropoda",
 "Year is greater than or equal to 1992",
 "Year is less than or equal to 2012",
 "Geometry POLYGON((-26 34, 42 34, 42 70, -26 70, -26 34))"
 ]
}

 The dataset includes 1022 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025165-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.stpduv
title: Occurrence Download

description: A dataset containing 64 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Pherbellia argyra Verbeke, 1967",
 "PhylumKey is Arthropoda",
 "Year is greater than or equal to 1992",
 "Year is less than or equal to 2012",
 "Geometry POLYGON((-26 34, 42 34, 42 70, -26 70, -26 34))"
 ]
}

 The dataset includes 64 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025166-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v538me
title: Occurrence Download

description: A dataset containing 68 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Pherbellia brunnipes (Meigen, 1838)",
 "PhylumKey is Arthropoda",
 "Year is greater than or equal to 1992",
 "Year is less than or equal to 2012",
 "Geometry POLYGON((-26 34, 42 34, 42 70, -26 70, -26 34))"
 ]
}

 The dataset includes 68 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025169-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vaumzq
title: Occurrence Download

description: A dataset containing 2666 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Fagopyrum Mill.",
 "Year 1970-2024"
 ]
}

 The dataset includes 2666 records from 102 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025168-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.