cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8333888
title: A Construction Waste Landfill Dataset of Two Districts in Beijing, China from High Resolution Satellite Images

description: CWLD constructs and forms a construction waste landfill dataset in Changping and Daxing districts of Beijing using Gaofen-2 remote sensing satellite as the data source. The dataset contains samples of the original image area and provides mask labeled images in the semantic segmentation domain.Each pixel inside a construction waste landfill is categorized in detail according to the image background area, the open space area, the engineering facility area and the waste dumping area. It contains 237,115,531 pixels of construction waste and 49,724,513 pixels of engineering facilities.


The dataset consists of three folders: Original Dataset, Construction Waste Landfill Dataset, and Deep Learning Datasets.



	
Original Dataset. Remote sensing images and labelled images are stored separately according to Changping and Daxing districts in the Original Dataset folder.
	
The Construction Waste Landfill Dataset folder contains the raw data enriched with data enhancement techniques.
	
Deep Learning Datasets. The input layer of the neural network model usually needs to have a fixed input size, so it is necessary to preprocess the data before training by adjusting the input data to 512×512px, which is divided into the training set and the validation set in accordance with 8:2.



Visit the GitHub page for scripts and instructions on how to use this dataset for visualizing and plotting basic statistics. The models and the code to execute them are released on https://github.com/huangleinxidimejd/CWLD_Model.
DOI: 10.5281/zenodo.10911481
title: Landmarks associated with the paper, "On the wing: Morphological variation in the osteology of Mediterranean Anatidae (excluding Anserinae)"

description: TPS files of landmarks for five datasets of duck bone elements from the wing- dorsal and ventral views of the coracoid, anterior and posterior views of the humerus and the medial view of the carpometacarpus. All TPS files are accompanied by metadata files in excel format that describe the specimen and given relevant linear measurements taken by calipers according to von den Driesch 1976.
DOI: 10.5281/zenodo.10911482
title: Landmarks associated with the paper, "On the wing: Morphological variation in the osteology of Mediterranean Anatidae (excluding Anserinae)"

description: TPS files of landmarks for five datasets of duck bone elements from the wing- dorsal and ventral views of the coracoid, anterior and posterior views of the humerus and the medial view of the carpometacarpus. All TPS files are accompanied by metadata files in excel format that describe the specimen and given relevant linear measurements taken by calipers according to von den Driesch 1976.
DOI: 10.15468/dl.yzgwb7
title: Occurrence Download

description: A dataset containing 435 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-4.47996 36.6587,-4.4433 36.6587,-4.4433 36.68785,-4.47996 36.68785,-4.47996 36.6587))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 435 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0090856-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10907609
title: WESN-emulated motor execution EEG data

description: This dataset contains EEG measured during a motor execution task and processed as to emulate EEG originating from a wireless EEG sensor network composed of mini-EEG devices, as presented in [1]. It is a processed version of the original High Gamma dataset of  [2].

In mini-EEG devices, we cannot measure the potential between a given electrode and a distant reference (e.g. the mastoid or Cz electrode) , as we would in traditional EEG caps. Instead, we can only record the local potential between two nearby electrodes belonging to the same sensor device. To emulate this setting using a standard cap-EEG recording, we we can considers= each pair of electrodes within a certain maximum distance as a candidate electrode pair or node. By subtracting one channel from the other, we remove the common far-distance reference and obtain a signal that emulates the local potential of the node.

We applied this method to the High Gamma dataset as follows. First, the 44 channels covering the motor cortex were selected. These channels are indicated in the channel_labels.json file. Then, the rereferencing between channels with a distance threshold of 3 cm was applied, yielding a set of 286 candidate electrode pairs or nodes. The nodes.json file indicates the specific pair of channels composing each of these nodes. These have an average inter-electrode distance of 1.98 cm and a standard deviation of 0.59 cm. Finally, we applied the preprocessing described in [2], i.e., resampling at 250 Hz, highpass filtering above 4 Hz, standardizing the per-node mean and variance to 0 and 1 respectively, and extracting a window of 4.5 seconds for each trial.

[1] Strypsteen, Thomas, and Alexander Bertrand. "A distributed neural network architecture for dynamic sensor selection with application to bandwidth-constrained body-sensor networks." arXiv preprint arXiv:2308.08379 (2023).

[2] Schirrmeister, Robin Tibor, et al. "Deep learning with convolutional neural networks for EEG decoding and visualization." Human brain mapping 38.11 (2017): 5391-5420.
DOI: 10.5281/zenodo.10907610
title: WESN-emulated motor execution EEG data

description: This dataset contains EEG measured during a motor execution task and processed as to emulate EEG originating from a wireless EEG sensor network composed of mini-EEG devices, as presented in [1]. It is a processed version of the original High Gamma dataset of  [2].

In mini-EEG devices, we cannot measure the potential between a given electrode and a distant reference (e.g. the mastoid or Cz electrode) , as we would in traditional EEG caps. Instead, we can only record the local potential between two nearby electrodes belonging to the same sensor device. To emulate this setting using a standard cap-EEG recording, we we can considers= each pair of electrodes within a certain maximum distance as a candidate electrode pair or node. By subtracting one channel from the other, we remove the common far-distance reference and obtain a signal that emulates the local potential of the node.

We applied this method to the High Gamma dataset as follows. First, the 44 channels covering the motor cortex were selected. These channels are indicated in the channel_labels.json file. Then, the rereferencing between channels with a distance threshold of 3 cm was applied, yielding a set of 286 candidate electrode pairs or nodes. The nodes.json file indicates the specific pair of channels composing each of these nodes. These have an average inter-electrode distance of 1.98 cm and a standard deviation of 0.59 cm. Finally, we applied the preprocessing described in [2], i.e., resampling at 250 Hz, highpass filtering above 4 Hz, standardizing the per-node mean and variance to 0 and 1 respectively, and extracting a window of 4.5 seconds for each trial.

[1] Strypsteen, Thomas, and Alexander Bertrand. "A distributed neural network architecture for dynamic sensor selection with application to bandwidth-constrained body-sensor networks." arXiv preprint arXiv:2308.08379 (2023).

[2] Schirrmeister, Robin Tibor, et al. "Deep learning with convolutional neural networks for EEG decoding and visualization." Human brain mapping 38.11 (2017): 5391-5420.
DOI: 10.15468/dl.vumdsq
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ranunculus oinonenii (Valta) Ericsson"
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0090860-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bevnec
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pyrrosia laevis (J.Sm. ex Bedd.) Ching"
 ]
}

 The dataset includes 46 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0090859-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nw63j2
title: Occurrence Download

description: A dataset containing 2063 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-4.49115 36.66944,-4.47055 36.66281,-4.44739 36.66944,-4.44739 36.69108,-4.49115 36.69108,-4.49115 36.66944))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 2063 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0090857-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10892568
title: Kallaama: A Transcribed Speech Dataset about Agriculture in the Three Most Widely Spoken Languages in Senegal
title: Kallaama Wolof speech dataset
title: Kallaama Pulaar speech dataset
title: Kallaama Sereer speech dataset

description: This data is transcribed speech data, in Wolof, Pulaar and Sereer.

The recordings are about agriculture. The recorded consist of farmers, agricultural advisers, and agri-food business managers. Type of recordings comprise interactive radio programmes, focus groups, voice messages, push messages and interviews. Therefore, spontaneous speech is prevailing. Quality of audio may vary depending on the type of programme.

Content description :



speech_dataset_wol.tar.gz: Wolof (ISO Code 639-2: wol) speech dataset contains 55 hours of transcribed speech, including almost 13 hours of validated content check by an expert. It also contains a XSAMPA lexicon (49,132 phonetised entries) and a text corpus (1,140,508 words).

speech_dataset_fuc.tar.gz: Pulaar (ISO Code 639-2: fuc) speech dataset contains nearly 32 hours of transcribed speech, including around 11 hours of validated content check by an expert. It also contains a text corpus (742,024 words).

speech_dataset_srr.tar.gz: Sereer (ISO Code 639-2: srr) speech dataset contains 38 hours of transcribed speech, including nearly 11 hours of validated content check by an expert.In total, these resources provide 125 hours of transcribed speech in the 3 most widely spoken languages in Senegal, including 35 hours of checked transcriptions.


This work is a result of the Kallaama project, funded by Lacuna Fund for 1 year, in 2023. 

See the GitHub repository for more details about the dataset.
DOI: 10.5281/zenodo.10892569
title: Kallaama: A Transcribed Speech Dataset about Agriculture in the Three Most Widely Spoken Languages in Senegal
title: Kallaama Wolof speech dataset
title: Kallaama Pulaar speech dataset
title: Kallaama Sereer speech dataset

description: This data is transcribed speech data, in Wolof, Pulaar and Sereer.

The recordings are about agriculture. The recorded consist of farmers, agricultural advisers, and agri-food business managers. Type of recordings comprise interactive radio programmes, focus groups, voice messages, push messages and interviews. Therefore, spontaneous speech is prevailing. Quality of audio may vary depending on the type of programme.

Content description :



speech_dataset_wol.tar.gz: Wolof (ISO Code 639-2: wol) speech dataset contains 55 hours of transcribed speech, including almost 13 hours of validated content check by an expert. It also contains a XSAMPA lexicon (49,132 phonetised entries) and a text corpus (1,140,508 words).

speech_dataset_fuc.tar.gz: Pulaar (ISO Code 639-2: fuc) speech dataset contains nearly 32 hours of transcribed speech, including around 11 hours of validated content check by an expert. It also contains a text corpus (742,024 words).

speech_dataset_srr.tar.gz: Sereer (ISO Code 639-2: srr) speech dataset contains 38 hours of transcribed speech, including nearly 11 hours of validated content check by an expert.In total, these resources provide 125 hours of transcribed speech in the 3 most widely spoken languages in Senegal, including 35 hours of checked transcriptions.


This work is a result of the Kallaama project, funded by Lacuna Fund for 1 year, in 2023. 

See the GitHub repository for more details about the dataset.
DOI: 10.5281/zenodo.10677950
title: CERN PS Radial and Phase Loop Gain Analysis

description: Dataset containing measurements and simulations of the PS radial and phase loop. These were used to determine the proportional gains, determining the conversion from measured radial or phase offset to frequency steering, of both loops.

Contents:

Kick_Data: Measurements of the phase and radial loops. 



20degkick_staticphaseloop_C948_05(-2/-3).npz: Measurements of the phase loop acting on a single bunch (normally sent to the East Area) around 948 ms cycle time. In these datasets, the RF phase is offset by 20 degrees without adjusting the target phase of the phase loop.

40degkick_followingPL_C948_05(1-/-2/-3/-4).npz: Measurements of the phase loop acting on a single bunch (normally sent to the East Area) around 948 ms cycle time. In these datasets, the RF phase is offset by 40 degrees while adjusting the target phase of the phase loop accordingly by 40 degrees.

radial_loop_response_C910(-2/-3).npz: Measurements of the radial loop acting on a single bunch (normally sent to the East Area) around 910 ms cycle time. In these datasets, the target radial offset is set from 13.6 mm to 0 at 910 ms cycle time


Kick_Simulations: Simulations reproducing the measurements for different values of the loop gains.



2023_11_17.2-LoopsKick_finePL: Simulations to reproduce the measurements in 20degkick_staticphaseloop_C948_05(-2/-3).npz with different phase loop gains. (See arguments.txt, line 36 of each subfolder for the gain in each simulation)

2023_11_17.2-LoopsKick_RL: Simulations to reproduce the measurements in radial_loop_response_C910(-2/-3).npz with different radial loop gains. (See arguments.txt, line 36 of each subfolder for the gain used in each simulation.


Plots: Figures produced in the course of the analysis

PSLoop_Technical_Info: Documentation of the phase and radial loops and their developed models.

PSLoop_GainDetermination.ipynb: Python Notebook where the analysis is performed.
DOI: 10.5281/zenodo.10677951
title: CERN PS Radial and Phase Loop Gain Analysis

description: Dataset containing measurements and simulations of the PS radial and phase loop. These were used to determine the proportional gains, determining the conversion from measured radial or phase offset to frequency steering, of both loops.

Contents:

Kick_Data: Measurements of the phase and radial loops. 



20degkick_staticphaseloop_C948_05(-2/-3).npz: Measurements of the phase loop acting on a single bunch (normally sent to the East Area) around 948 ms cycle time. In these datasets, the RF phase is offset by 20 degrees without adjusting the target phase of the phase loop.

40degkick_followingPL_C948_05(1-/-2/-3/-4).npz: Measurements of the phase loop acting on a single bunch (normally sent to the East Area) around 948 ms cycle time. In these datasets, the RF phase is offset by 40 degrees while adjusting the target phase of the phase loop accordingly by 40 degrees.

radial_loop_response_C910(-2/-3).npz: Measurements of the radial loop acting on a single bunch (normally sent to the East Area) around 910 ms cycle time. In these datasets, the target radial offset is set from 13.6 mm to 0 at 910 ms cycle time


Kick_Simulations: Simulations reproducing the measurements for different values of the loop gains.



2023_11_17.2-LoopsKick_finePL: Simulations to reproduce the measurements in 20degkick_staticphaseloop_C948_05(-2/-3).npz with different phase loop gains. (See arguments.txt, line 36 of each subfolder for the gain in each simulation)

2023_11_17.2-LoopsKick_RL: Simulations to reproduce the measurements in radial_loop_response_C910(-2/-3).npz with different radial loop gains. (See arguments.txt, line 36 of each subfolder for the gain used in each simulation.


Plots: Figures produced in the course of the analysis

PSLoop_GainDetermination.ipynb: Python Notebook where the analysis is performed.
DOI: 10.5281/zenodo.10911499
title: CERN PS Radial and Phase Loop Gain Analysis

description: Dataset containing measurements and simulations of the PS radial and phase loop. These were used to determine the proportional gains, determining the conversion from measured radial or phase offset to frequency steering, of both loops.

Contents:

Kick_Data: Measurements of the phase and radial loops. 



20degkick_staticphaseloop_C948_05(-2/-3).npz: Measurements of the phase loop acting on a single bunch (normally sent to the East Area) around 948 ms cycle time. In these datasets, the RF phase is offset by 20 degrees without adjusting the target phase of the phase loop.

40degkick_followingPL_C948_05(1-/-2/-3/-4).npz: Measurements of the phase loop acting on a single bunch (normally sent to the East Area) around 948 ms cycle time. In these datasets, the RF phase is offset by 40 degrees while adjusting the target phase of the phase loop accordingly by 40 degrees.

radial_loop_response_C910(-2/-3).npz: Measurements of the radial loop acting on a single bunch (normally sent to the East Area) around 910 ms cycle time. In these datasets, the target radial offset is set from 13.6 mm to 0 at 910 ms cycle time


Kick_Simulations: Simulations reproducing the measurements for different values of the loop gains.



2023_11_17.2-LoopsKick_finePL: Simulations to reproduce the measurements in 20degkick_staticphaseloop_C948_05(-2/-3).npz with different phase loop gains. (See arguments.txt, line 36 of each subfolder for the gain in each simulation)

2023_11_17.2-LoopsKick_RL: Simulations to reproduce the measurements in radial_loop_response_C910(-2/-3).npz with different radial loop gains. (See arguments.txt, line 36 of each subfolder for the gain used in each simulation.


Plots: Figures produced in the course of the analysis

PSLoop_Technical_Info: Documentation of the phase and radial loops and their developed models.

PSLoop_GainDetermination.ipynb: Python Notebook where the analysis is performed.
DOI: 10.15468/dl.53p2w8
title: Occurrence Download

description: A dataset containing 3621 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Quercus glauca Thunb.",
 "Country is China",
 "Year is greater than or equal to 1900",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3621 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0090861-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wz6cbg
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhododendron cruttwellii Sleumer"
 ]
}

 The dataset includes 34 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0090863-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qdafve
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Restio uniflorus H.P.Linder"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0090862-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v4s7bf
title: Occurrence Download

description: A dataset containing 71 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Viola pekinensis (Regel) W.Becker",
 "Country is China",
 "Year is greater than or equal to 1900",
 "HasCoordinate is true"
 ]
}

 The dataset includes 71 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0090865-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8mvdqn
title: Occurrence Download

description: A dataset containing 72 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhynchosia cana (Willd.) DC."
 ]
}

 The dataset includes 72 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0090864-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u7kar8
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ranunculus oligandroides (Markl.) Ericsson"
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0090866-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fqdhcj
title: Occurrence Download

description: A dataset containing 594 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Persicaria chinensis (L.) H.Gross",
 "Country is China",
 "Year is greater than or equal to 1900",
 "HasCoordinate is true"
 ]
}

 The dataset includes 594 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0090869-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.phjamn
title: Occurrence Download

description: A dataset containing 3969 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pyrrosia lanceolata (L.) Farw."
 ]
}

 The dataset includes 3969 records from 113 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0090867-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zf2wf8
title: Occurrence Download

description: A dataset containing 56 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Restio unispicatus (H.P.Linder) H.P.Linder & C.R.Hardy"
 ]
}

 The dataset includes 56 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0090870-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.274wpf
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhododendron cuffeanum Craib ex Hutch."
 ]
}

 The dataset includes 5 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0090868-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.