cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10925351
title: 3DO Dataset | On the Generalization of WiFi-based Person-centric Sensing in Through-Wall Scenarios

description: On the Generalization of WiFi-based Person-centric Sensing in Through-Wall Scenarios

This repository contains the 3DO dataset proposed in [1].

PyTroch Dataloader

A minimal PyTorch dataloader for the 3DO dataset is provided at: https://github.com/StrohmayerJ/3DO

Dataset Description

The 3DO dataset comprises 42 five-minute recordings (~1.25M WiFi packets) of three human activities performed by a single person, captured in a WiFi through-wall sensing scenario over three consecutive days. Each WiFi packet is annotated with a 3D trajectory label and a class label for the activities: no person/background (0), walking (1), sitting (2), and lying (3). (Note: The labels returned in our dataloader example are walking (0), sitting (1), and lying (2), because background sequences are not used.)

The directories 3DO/d1/, 3DO/d2/, and 3DO/d3/ contain the sequences from days 1, 2, and 3, respectively. Furthermore, each sequence directory (e.g., 3DO/d1/w1/) contains a csiposreg.csv file storing the raw WiFi packet time series and a csiposreg_complex.npy cache file, which stores the complex Channel State Information (CSI) of the WiFi packet time series. (If missing, csiposreg_complex.npy is automatically generated by the provided dataloader.)

Dataset Structure:

/3DO

├── d1 <-- day 1 subdirectory

       └── w1  <-- sequence subdirectory

              └── csiposreg.csv <-- raw WiFi packet time series

              └── csiposreg_complex.npy <-- CSI time series cache

├── d2 <-- day 2 subdirectory

├── d3 <-- day 3 subdirectory

 

In [1], we use the following training, validation, and test split:




Subset
Day
Sequences 


Train
1
w1, w2, w3, s1, s2, s3, l1, l2, l3


Val
1
w4, s4, l4


Test
1
w5 , s5, l5


Test
2
w1, w2, w3, w4, w5, s1, s2, s3, s4, s5, l1, l2, l3, l4, l5


Test
3
w1, w2, w4, w5, s1, s2, s3, s4, s5, l1, l2, l4




w = walking, s = sitting and l= lying

Note: On each day, we additionally recorded three ten-minute background sequences (b1, b2, b3), which are provided as well.

 

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] Strohmayer, J., Kampel, M. (2025). On the Generalization of WiFi-Based Person-Centric Sensing in Through-Wall Scenarios. In: Pattern Recognition. ICPR 2024. Lecture Notes in Computer Science, vol 15315. Springer, Cham. https://doi.org/10.1007/978-3-031-78354-8_13

BibTeX citation:

@inproceedings{strohmayerOn2025,
   author="Strohmayer, Julian and Kampel, Martin",   title="On the Generalization of WiFi-Based Person-Centric Sensing in Through-Wall Scenarios",   booktitle="Pattern Recognition",   year="2025",   publisher="Springer Nature Switzerland",   address="Cham",   pages="194--211",   isbn="978-3-031-78354-8"
}
DOI: 10.15468/dl.34bjbq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Salmo truttasalar Lacépède, 1803"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019965-241126133413365/datasets/export for details.
DOI: 10.15468/dl.z7z2f7
title: Occurrence Download

description: A dataset containing 1441 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Trachurus japonicus (Temminck & Schlegel, 1844)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1441 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019966-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7mpqnj
title: Occurrence Download

description: A dataset containing 340 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Careproctus gilberti Burke, 1912",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 340 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019968-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fha7yf
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((38.4575 -3.28999, 38.45833 -3.289167, 38.4575 -3.289167, 38.4575 -3.28999))",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019967-241126133413365/datasets/export for details.
DOI: 10.15468/dl.jmda49
title: Occurrence Download

description: A dataset containing 61563 records in GBIF matching the query:

SELECT 
 GBIF_MGRSCode(
 100000, 
 decimalLatitude,
 decimalLongitude,
 0 
 ) AS mgrs,
 COUNT(DISTINCT speciesKey) AS unique_species_count
FROM
 occurrence
GROUP BY
 mgrs


 The dataset's 61563 records were derived from 69545 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019938-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.whepuk
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pinus patula Schiede ex Schltdl. & Cham.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Living Specimen"
 ]
}

 The dataset includes 6 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019969-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25377/sussex.27049630
title: Data for "Flow synthesis and multidimensional parameter screening enables exploration and optimization of copper oxide nanoparticle synthesis"

description: Here we present the raw data associated with the publication <i>Flow synthesis and multidimensional parameter screening enables exploration and optimization of copper oxide nanoparticle synthesis</i> (Nanoscale Advances, Dec 2024)<i>. </i>The raw data is labelled with reference to the figures in the papers, and is provided in it's most accessable form.Copper-based nanoparticles (NPs) are highly valued for their wide-ranging applications, with particular significance in CO<sub>2</sub> reduction. However current synthesis methods encounter challenges in scalability, batch-to-batch variation, and high energy costs. In this work, we describe a novel continuous flow synthesis approach performed at room temperature to help address these issues, producing spherical, colloidally stable copper (II) oxide (CuO) NPs. This approach leverages stabilizing ligands like oleic acid, oleylamine, and soy-lecithin, a novel choice for CuO NPs. The automated flow platform facilitates facile, real-time parameter screening of Cu-based nanomaterials using optical spectroscopy, achieving rapid optimization of NP properties including size, size dispersity, and colloidal stability through tuning of reaction parameters. This study highlights the potential of continuous flow synthesis for efficient parameter exploration to accelerate understanding, optimization, and eventually enable scale-up of copper-based NPs. This promises significant benefits for various sectors, including energy, healthcare, and environmental conservation, by enabling reliable production with reduced energy and cost requirements.
DOI: 10.25377/sussex.27049630.v1
title: Data for "Flow synthesis and multidimensional parameter screening enables exploration and optimization of copper oxide nanoparticle synthesis"

description: Here we present the raw data associated with the publication <i>Flow synthesis and multidimensional parameter screening enables exploration and optimization of copper oxide nanoparticle synthesis</i> (Nanoscale Advances, Dec 2024)<i>. </i>The raw data is labelled with reference to the figures in the papers, and is provided in it's most accessable form.Copper-based nanoparticles (NPs) are highly valued for their wide-ranging applications, with particular significance in CO<sub>2</sub> reduction. However current synthesis methods encounter challenges in scalability, batch-to-batch variation, and high energy costs. In this work, we describe a novel continuous flow synthesis approach performed at room temperature to help address these issues, producing spherical, colloidally stable copper (II) oxide (CuO) NPs. This approach leverages stabilizing ligands like oleic acid, oleylamine, and soy-lecithin, a novel choice for CuO NPs. The automated flow platform facilitates facile, real-time parameter screening of Cu-based nanomaterials using optical spectroscopy, achieving rapid optimization of NP properties including size, size dispersity, and colloidal stability through tuning of reaction parameters. This study highlights the potential of continuous flow synthesis for efficient parameter exploration to accelerate understanding, optimization, and eventually enable scale-up of copper-based NPs. This promises significant benefits for various sectors, including energy, healthcare, and environmental conservation, by enabling reliable production with reduced energy and cost requirements.
DOI: 10.15468/dl.28xngn
title: Occurrence Download

description: A dataset containing 15835 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-65.16062 33.83891,-96.63909 33.42289,-100.51144 20.66894,-92.26708 16.40654,-83.77289 8.23765,-64.91079 8.73185,-65.16062 33.83891))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Caretta caretta (Linnaeus, 1758)",
 "Year 1990-2024"
 ]
}

 The dataset includes 15835 records from 139 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019970-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r4umew
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((38.445 -4.53, 38.44417 -4.53, 38.44417 -4.530833, 38.445 -4.530833, 38.445 -4.53))",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019972-241126133413365/datasets/export for details.
DOI: 10.15468/dl.ct5fb6
title: Occurrence Download

description: A dataset containing 1278 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sporobolus neglectus Nash",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1278 records from 104 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019973-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fvaqwg
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Caranx trachurus (Linnaeus, 1758)",
 "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/0019974-241126133413365/datasets/export for details.
DOI: 10.6084/m9.figshare.27958413
title: Supplementary data associated with Brigham et al. "Discovery and biosynthesis of biffamycin – a novel glycotetrapeptide antibiotic"

description: This entry contains underpinning data from the supplementary information section of Brigham et al. "Discovery and biosynthesis of biffamycin – a novel glycotetrapeptide antibiotic". Files include: pBiff.gbk, protein sequences their alignment for epimerise domains and α-ketoglutarate-dependent hydroxylases, and a phylogenetic tree of α-ketoglutarate-dependent hydroxylases.
DOI: 10.6084/m9.figshare.27958413.v1
title: Protein sequences for epimerase domains and α-ketoglutarate-dependent hydroxylases.

description: This entry contains underpinning data from the supplementary information section of Brigham et al. "Discovery and biosynthesis of biffamycin – a novel glycotetrapeptide antibiotic", including protein sequences of epimerise domains and α-ketoglutarate-dependent hydroxylases and their analysis.
DOI: 10.15468/dl.3p2g3s
title: Occurrence Download

description: A dataset containing 1278 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sporobolus neglectus Nash",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1278 records from 104 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019975-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8w7rtx
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pinus pinaster Aiton",
 "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/0019976-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2jb6pg
title: Occurrence Download

description: A dataset containing 248 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cryptacanthodes giganteus (Kittlitz, 1858)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 248 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019977-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4rpmfg
title: Occurrence Download

description: A dataset containing 2138 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((11.6339809526661 44.9099746893629, 11.6339809526661 44.8849357354001, 11.6872646440724 44.8849357354001, 11.6872646440724 44.9099746893629, 11.6339809526661 44.9099746893629))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 2138 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019979-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tum79r
title: Occurrence Download

description: A dataset containing 464 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Conger myriaster (Brevoort, 1856)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 464 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019978-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17638/datacat.liverpool.ac.uk/2862
title: Data from Cross et al., Exploring the Accuracy of Palaeobiological Modelling Procedures in Forward-Dynamics Simulations of Maximum-Effort Vertical Jumping

description: The data included herein contains the model input files, output files, as well as the 3D segment geometries needed to repeat the simulations described in the study of Cross et al., Palaeobiological Simulations of Vertical Jumping.
DOI: 10.5281/zenodo.14281888
title: RT1
DOI: 10.5281/zenodo.14281889
title: RT1
DOI: 10.15468/dl.3hnapa
title: Occurrence Download

description: A dataset containing 1219246 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Magnoliopsida, Liliopsida, Gnetopsida, Cycadopsida, Cycadopsis Debey, 1848, Pinopsida, Ginkgoopsida)",
 "BasisOfRecord is one of (Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000",
 "Continent is Asia"
 ]
}

 The dataset includes 1219246 records from 400 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019952-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.py6j9e
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pisodonophis sangjuensis Ji & Kim, 2011",
 "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/0019980-241126133413365/datasets/export for details.
DOI: 10.5281/zenodo.13320997
title: Safran-MNIST-D

description: This dataset contains images of serial numbers extracted from diverse avionic parts manufactured by SAFRAN, the international high-technology group and world leader operating in the aviation (propulsion, equipment and interiors), defense and space markets. This dataset resembles the well-known MNIST dataset, but with a focus to industrial contexts, encompassing variations in lighting conditions, orientations, writing styles and surface textures. 

The dataset contains 10 classes depicting numbers, from 0 to 9

August 14th, 2024 : Validation dataset containing 421 images without labels is released

Test set will be released at the end of the ICPR24 DAGECC Competition
DOI: 10.5281/zenodo.13320996
title: Safran-MNIST-D

description: This dataset contains images of serial numbers extracted from diverse avionic parts manufactured by SAFRAN, the international high-technology group and world leader operating in the aviation (propulsion, equipment and interiors), defense and space markets. This dataset resembles the well-known MNIST dataset, but with a focus to industrial contexts, encompassing variations in lighting conditions, orientations, writing styles and surface textures. 

The dataset contains 10 classes depicting numbers, from 0 to 9

August 14th, 2024 : Validation dataset containing 421 images without labels is released.

December 5th, 2024 : Testing dataset released, ground-truth labels for validation and testing released.

This dataset has been proposed in the context of ICPR24 DAGECC Competition
DOI: 10.5281/zenodo.14282526
title: Safran-MNIST-D

description: This dataset contains images of serial numbers extracted from diverse avionic parts manufactured by SAFRAN, the international high-technology group and world leader operating in the aviation (propulsion, equipment and interiors), defense and space markets. This dataset resembles the well-known MNIST dataset, but with a focus to industrial contexts, encompassing variations in lighting conditions, orientations, writing styles and surface textures. 

The dataset contains 10 classes depicting numbers, from 0 to 9

August 14th, 2024 : Validation dataset containing 421 images without labels is released.

December 5th, 2024 : Testing dataset released, ground-truth labels for validation and testing released.

This dataset has been proposed in the context of ICPR24 DAGECC Competition
DOI: 10.15468/dl.hwjdv5
title: Occurrence Download

description: A dataset containing 169 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pinus pinea L.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Living Specimen"
 ]
}

 The dataset includes 169 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019982-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18746/bmth.data.00000423
title: Empirical papers on corporate reporting on the Sustainable Development Goals
DOI: 10.15468/dl.xkjn54
title: Occurrence Download

description: A dataset containing 5175 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Diaphus theta Eigenmann & Eigenmann, 1890",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 5175 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019983-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mdytb5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anguilla myriaster Brevoort, 1856",
 "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/0019984-241126133413365/datasets/export for details.
DOI: 10.18419/darus-4500
title: AFEM-by-Equilibration
title: Supplementary material to "Adaptive finite element methods based on flux and stress equilibration using FEniCSx"

description: This repository showcases how adaptive finite element solvers using equilibration based a posteriori error estimates can be build. Therefore, FEniCSx [1] alongside with &lt;a href="https://github.com/brodbeck-m/dolfinx_eqlb/tree/v1.2.0"&gt;dolfinx_eqlb&lt;/a&gt; [2], an extension for efficient flux equilibration are used. Classical benchmarks for the Poisson problem and linear elasticity are shown. The here presented code can be used to reproduce the results in the &lt;a href="https://arxiv.org/abs/2410.09764"&gt;related publication&lt;/a&gt;.

&lt;br&gt;
&lt;br&gt;

[1] Baratta, I. A. et al.: DOLFINx: The next generation FEniCS problem solving environment. preprint. (2023) doi: &lt;a href="https://doi.org/10.5281/zenodo.10447666"&gt;10.5281/zenodo.10447666&lt;/a&gt;&lt;br&gt;

[2] Brodbeck, M., Bertrand, F. and Ricken, T.: dolfinx_eqlb v1.2.0. DaRUS (2024) doi: &lt;a href="https://doi.org/10.18419/darus-4498"&gt;10.18419/darus-4498&lt;/a&gt;&lt;br&gt;
description: The installation is described on 
github. The easiest way is the creation of a Docker container. Alternatively, a copy of a docker image containing all examples, is provided in this data set. In order to use it, download the .tar.gz archive, navigate into the folder, where the download is located, and run
<pre>
$ docker load --input dockerimage-AFEMbyEqlb.tar.gz
</pre>
Execute followingly all provided calculations by
<pre>
$ docker run -ti brodbeck-m/afem-by-eqlb:release
$ ./execute_all.sh
</pre>
<br>
Use persistent identifiers from Software Heritage (
 
) to cite individual files or even lines of the source code.
DOI: 10.15468/dl.27ygkz
title: Occurrence Download

description: A dataset listing the 18780 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is FishBase Database"
 ]
}

 The dataset's 18780 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019958-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.