cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14191602
title: CoUDlabs_TA_OTHU-SuDS-NBS-RECON: Correlating plant health with soil moisture in NBS

description: This repository contains the dataset ‘CoUDlabs_TA_OTHU-SuDS-NBS-RECON: Correlating plant health with soil moisture in NBS’ which is a result from the Transnational Access, within Co-UDlabs project, funded under the European Union’s Horizon 2020 research and innovation programme under grant agreement No 101008626. 

These experiments introduce a new approach which uses low-cost multi-spectral camera (Plant-o-Meter) to estimate plant health (through various parameters) to link with soil moisture of the bioretention systems (biofilters and green roof) as a common element of nature-based solutions (NBS). Soil moisture is used as a proxy for polluted water retention and pollutant removal within the system. The aim of this work is to provide a proof of concept for indirect measurement of urban polluted water treatment through different types of NBS. The experiments have been done on real stormwater biofilters, under controlled conditions (artificial irrigation). Data from the experimental campaign presented here will help to understand fundamental correlations between plant health parameters and the change in soil moisture, giving us a tool for quick assessment of the need for maintenance of various NBS as a crucial parts of UD systems.

The authors acknowledge financial support from the European Union under the Horizon 2020 program within a contract for Integrating Activities for Starting Communities (Ref. 101008626)

>>>For detailed description of the dataset, please see README_NBS-RECON_dataset.txt and CoUDlabsDataStorageReport_NBS-RECON.docx
DOI: 10.34740/kaggle/dsv/10010623
title: Mahanagar Yatayat Transport Dataset
DOI: 10.5281/zenodo.14216850
title: Processed Sentinel 1, Sentinel 2 and Copernicus Emergency Management Service data for fine tuning and predicting flood extent with IBM's granite-geospatial-uki-flood-detection model

description: This dataset contains processed Sentinel 1 Sentinel 2 imagery together with flood event labels extracted from the Copernicus Emergency Management Service. It has been assembled to demonstrate fine tuning and inference of flood event segmentation using granite geospatial foundation models developed by IBM Research. Please see https://huggingface.co/ibm-granite/granite-geospatial-uki-flooddetection for more information on models and use.

Sentinel-1

The European Space Agency. 2014. Sentinel-1 Mission. https://sentinel.esa.int/web/sentinel/missions/sentinel1. Accessed: 2024-11-25.

Sentinel-2

The European Space Agency. 2015. Sentinel-2 Mission. https://sentinel.esa.int/web/sentinel/missions/sentinel2. Accessed: 2024-11-25.

Copernicus Emergency Management Service

https://emergency.copernicus.eu/mapping/list-of-activations-rapid. Accessed: 2024-11-25. 

Attribution

Contains modified Copernicus Sentinel data [2019-2024]

Contains modified Copernicus Service information [2019-2023]
DOI: 10.5281/zenodo.14216851
title: Processed Sentinel 1, Sentinel 2 and Copernicus Emergency Management Service data for fine tuning and predicting flood extent with IBM's granite-geospatial-uki-flood-detection model

description: This dataset contains processed Sentinel 1 Sentinel 2 imagery together with flood event labels extracted from the Copernicus Emergency Management Service. It has been assembled to demonstrate fine tuning and inference of flood event segmentation using granite geospatial foundation models developed by IBM Research. Please see https://huggingface.co/ibm-granite/granite-geospatial-uki-flooddetection for more information on models and use.

Sentinel-1

The European Space Agency. 2014. Sentinel-1 Mission. https://sentinel.esa.int/web/sentinel/missions/sentinel1. Accessed: 2024-11-25.

Sentinel-2

The European Space Agency. 2015. Sentinel-2 Mission. https://sentinel.esa.int/web/sentinel/missions/sentinel2. Accessed: 2024-11-25.

Copernicus Emergency Management Service

https://emergency.copernicus.eu/mapping/list-of-activations-rapid. Accessed: 2024-11-25. 

Attribution

Contains modified Copernicus Sentinel data [2019-2024]

Contains modified Copernicus Service information [2019-2023]
DOI: 10.15468/dl.e7swsq
title: Occurrence Download

description: A dataset containing 16251 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-81.2626 49.41682,-93.25973 38.76203,-89.5683 29.53347,-73.37638 33.72827,-47.11693 49.08124,-56.1777 52.60487,-73.20858 52.0176,-81.2626 49.41682))",
 "TaxonKey is Betula alleghaniensis Britton",
 "Year 1950-2024"
 ]
}

 The dataset includes 16251 records from 100 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000162-241125135418005/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xyqpr2
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is one of (Primulina polycephala (Chun) Mich.Möller & A.Weber)"
 ]
}

 The dataset includes 8 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000163-241125135418005/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10256802
title: CUCO Database: A voice and speech corpus of patients who underwent upper airway surgery in pre- and post-operative states

description: The data set comprises 3,800 speech audio files of 3 types of upper respiratory tract surgeries and 1 control set. The dataset has an average of 35.51 +- 5.91 audio recordings per patient. It provides valuable resources to the scientific community to systematically investigate the objective effects of upper respiratory tract surgery on voice and speech.  

This data set is a complete corpus comprising data from 107 Spanish Castilian speakers. This corpus encompasses voice and speech recordings from both control speakers and patients who underwent upper airway surgical procedures in pre- and post-operative stages. The surgeries in focus include Tonsillectomy, Functional Endoscopic Sinus Surgery, and Septoplasty, all consistently performed by a single surgeon.

This corpus has been the basis for different previous studies to evaluate changes in voice and its quality due to surgery. The results do not suggest significant changes in the most relevant acoustic parameters studied for the voice, which is consistent with the initial hypothesis. However, the analysis of speech recordings remains open, with a special focus on the nasalised segments, which are expected to change due to surgical intervention.

This data set also opens the way to study the effect of upper airway surgery on the performance of speaker recognition and identification methods, as well as to be used to test anti-spoofing methodologies to make them more robust. 

Please, if you use this database, cite this open-access paper where the data acquisition is explained and detailed:

Hernández-García, E., Guerrero-López, A., Arias-Londoño, J. D., & Godino-Llorente, J. I. (2024). A voice and speech corpus of patients who underwent upper airway surgery in pre-and post-operative states. Scientific Data, 11(1), 746.
DOI: 10.5281/zenodo.10256803
title: CUCO Database: A voice and speech corpus of patients who underwent upper airway surgery in pre- and post-operative states

description: The data set comprises 3,800 speech audio files of 3 types of upper respiratory tract surgeries and 1 control set. The dataset has an average of 35.51 +- 5.91 audio recordings per patient. It provides valuable resources to the scientific community to systematically investigate the objective effects of upper respiratory tract surgery on voice and speech.  
This data set is a complete corpus comprising data from 107 Spanish Castilian speakers. This corpus encompasses voice and speech recordings from both control speakers and patients who underwent upper airway surgical procedures in pre- and post-operative stages. The surgeries in focus include Tonsillectomy, Functional Endoscopic Sinus Surgery, and Septoplasty, all consistently performed by a single surgeon.
This corpus has been the basis for different previous studies to evaluate changes in voice and its quality due to surgery. The results do not suggest significant changes in the most relevant acoustic parameters studied for the voice, which is consistent with the initial hypothesis. However, the analysis of speech recordings remains open, with a special focus on the nasalised segments, which are expected to change due to surgical intervention.
This data set also opens the way to study the effect of upper airway surgery on the performance of speaker recognition and identification methods, as well as to be used to test anti-spoofing methodologies to make them more robust.
DOI: 10.5281/zenodo.11654546
title: CUCO Database: A voice and speech corpus of patients who underwent upper airway surgery in pre- and post-operative states

description: The data set comprises 3,800 speech audio files of 3 types of upper respiratory tract surgeries and 1 control set. The dataset has an average of 35.51 +- 5.91 audio recordings per patient. It provides valuable resources to the scientific community to systematically investigate the objective effects of upper respiratory tract surgery on voice and speech.  

This data set is a complete corpus comprising data from 107 Spanish Castilian speakers. This corpus encompasses voice and speech recordings from both control speakers and patients who underwent upper airway surgical procedures in pre- and post-operative stages. The surgeries in focus include Tonsillectomy, Functional Endoscopic Sinus Surgery, and Septoplasty, all consistently performed by a single surgeon.

This corpus has been the basis for different previous studies to evaluate changes in voice and its quality due to surgery. The results do not suggest significant changes in the most relevant acoustic parameters studied for the voice, which is consistent with the initial hypothesis. However, the analysis of speech recordings remains open, with a special focus on the nasalised segments, which are expected to change due to surgical intervention.

This data set also opens the way to study the effect of upper airway surgery on the performance of speaker recognition and identification methods, as well as to be used to test anti-spoofing methodologies to make them more robust. 

Please, if you use this database, cite this open-access paper where the data acquisition is explained and detailed:

Hernández-García, E., Guerrero-López, A., Arias-Londoño, J. D., & Godino-Llorente, J. I. (2024). A voice and speech corpus of patients who underwent upper airway surgery in pre-and post-operative states. Scientific Data, 11(1), 746.
DOI: 10.5281/zenodo.14042892
title: Data and code for "Preconfigured cortico-thalamic neural dynamics constrain movement-associated thalamic activity"

description: Data and code for "Preconfigured cortico-thalamic neural dynamics constrain movement-associated thalamic activity"

Nature Communications; 2024 Nov 24;15(1):10185.  doi: 10.1038/s41467-024-54742-9.
DOI: 10.5281/zenodo.14042893
title: Data and code for "Preconfigured cortico-thalamic neural dynamics constrain movement-associated thalamic activity"

description: Data and code for "Preconfigured cortico-thalamic neural dynamics constrain movement-associated thalamic activity"

Nature Communications; 2024 Nov 24;15(1):10185.  doi: 10.1038/s41467-024-54742-9.
DOI: 10.21227/qad4-6310
title: MetroIndoorLoc

description: Dataset information:The data was collected from two metro staƟon plaƞorms; one is at-grade level station, another is underground level station. MetroIndoorLoc dataset is divided into four parts: a) At-grade level metro station Training data – 2424 samplesb) At-grade level metro station Test data – 607 samplesc) Underground level metro station Training data – 1280d) Underground level metro station Test data – 320 On the at-grade level metro station, RSSI values are collected from 77 access points.On the underground metro station, RSSI values are collected from 63 access points.In all datasets, missing RSSI values was replaced by a dummy value -110 dBm.
DOI: 10.15468/dl.5b2qt5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is one of (Primulina porphyrea X.L.Yu & Ming Li)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000164-241125135418005/datasets/export for details.
DOI: 10.15468/dl.gs4wrw
title: Occurrence Download

description: A dataset containing 7476 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Tokudaia muenninki (Johnson, 1946), Tokudaia osimensis (Abe, 1933), Tokudaia tokunoshimensis Endo & Tsuchiya, 2006, Tympanoctomys barrerae (Lawrence, 1941), Typhlomys cinereus Milne-Edwards, 1877, Urocitellus parryii (Richardson, 1825), Xerus inauris (Zimmermann, 1780), Xerus rutilus (Cretzschmar, 1828))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 7476 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000165-241125135418005/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jwj7sc
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is one of (Primulina pseudoeburnea (D.Fang & W.T.Wang) Mich.Möller & A.Weber)"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000166-241125135418005/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.665pxx
title: Occurrence Download

description: A dataset listing the 155 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is National Invasive Species Database"
 ]
}

 The dataset's 155 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000154-241125135418005/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vunmd6
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is one of (Primulina pseudoglandulosa W.B.Xu & K.F.Chung)"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000167-241125135418005/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.26166400
title: Donelan et al. - Biological Invasions

description: Data from manipulative experiment described in Donelan et al. "Environmental conditions of vessel routes and arrival ports can alter propagule supply by reproduction in a common biofouling species" in Biological Invasions.
DOI: 10.6084/m9.figshare.26166400.v1
title: Donelan et al. - Biological Invasions

description: Data from manipulative experiment described in Donelan et al. "Environmental conditions of vessel routes and arrival ports can alter propagule supply by reproduction in a common biofouling species" in Biological Invasions.
DOI: 10.15468/dl.x8fj7f
title: Occurrence Download

description: A dataset containing 3372 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Parambassis siamensis (Fowler, 1937), Pristolepis fasciata (Bleeker, 1851), Esomus metallicus Ahl, 1923)",
 "Year is not null",
 {
 "not" : {
 "Issue" : [
 "is one of (Recorded date invalid, Taxon match fuzzy, Taxon match higher rank)"
 ]
 }
 }
 ]
}

 The dataset includes 3372 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000168-241125135418005/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r6menv
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is one of (Primulina pseudoheterotricha (T.J.Zhou, B.Pan & W.B.Xu) Mich.Möller & A.Weber)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000169-241125135418005/datasets/export for details.
DOI: 10.5284/1124411
title: Images from a Historic Building Recording at 66 & 68 Bank Parade and 4 & 6 Bankhouse Street, Burnley, Lancashire, August 2023

description: This collection comprises of images from a historic building recording at 66 & 68 Bank Parade and 4 & 6 Bankhouse Street, Burnley, Lancashire. The historic building recording was undertaken by Stephen Haigh Buildings Archaeologist, on the 8th August 2023. The buildings date from the 1820s, and were built by Anthony Buck, a local lawyer who is also believed to have lived on the street; 68 Bank Parade was later the home of James Mckenzie, a famous cardiologist.
DOI: 10.6084/m9.figshare.27901968
title: ERAD TF meanRank

description: ERAD TF meanRank
DOI: 10.6084/m9.figshare.27901968.v1
title: ERAD TF meanRank

description: ERAD TF meanRank
DOI: 10.48577/jpl.y10pe8
title: Quantifying CO2 emissions from smaller anthropogenic point sources using OCO-2 Target and OCO-3 Snapshot Area Mapping mode observations

description: We quantify CO2 emissions from smaller anthropogenic point sources compared with earlier satellite studies, which have mostly focused on mid-sized (~10 MtCO2/year) and larger fossil fuel burning power plants. Two types of Orbiting Carbon Observatory (OCO) observation modes are used: OCO-2 Target mode and OCO-3 Snapshot Area Mapping (SAM) mode. Methods previously used with OCO-3 SAMs are adapted to quantify CO2 emissions with OCO-2 Targets for the first time, demonstrating a similar capability to track emission changes at the Bełchatów Power Station. SAMs and Targets are then applied to quantify emissions from smaller sources in Canada: the Boundary Dam and Poplar River Power Stations in Saskatchewan, and the Suncor and Syncrude Mildred Lake mined oil sands processing facilities in northern Alberta. We verify our method on the nearby Colstrip Power Station in Montana by comparison with hourly reported values. For Canadian sources, only annual emissions are reported, to which our emission estimates cannot be directly compared. Emissions derived from a single satellite overpass correspond to daily or finer temporal scales and thus do not account for source intermittency or variability, which requires multiple revisits to reliably estimate annual emissions. Finally, we average OCO-3 SAMs on repeated revisits to improve weak enhancement signals above background noise. Averaging SAMs yields mixed results, with improvements achieved only under certain conditions. These studies help to clarify the capabilities and limitations of CO2 point source emission quantification with current satellites in advance of plans for operational monitoring with future CO2 satellite missions.
DOI: 10.6084/m9.figshare.27901956
title: snRNAseq data_cellBender

description: List of cell barcodes and cell type annotations you use in the reference singe nuclei RNA-sequencing
DOI: 10.6084/m9.figshare.27901956.v1
title: snRNAseq data_cellBender

description: List of cell barcodes and cell type annotations you use in the reference singe nuclei RNA-sequencing
DOI: 10.15468/dl.u9jxp8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is one of (Primulina pseudolinearifolia W.B.Xu & K.F.Chung)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000170-241125135418005/datasets/export for details.
DOI: 10.24382/ce07577f-c55d-44aa-bdb7-0e06aeb72a5c
title: Numerical Modelling of Atoll Island Flooding and Implications for the Future: the 1 July 2022 Island Flooding Event, Southwest Huvadhoo Atoll, Maldives

description: Field data and numerical model data and model parameters
DOI: 10.5281/zenodo.10696806
title: Citizen Science group-related data set — Deep Sea Spy project

description: Group dataset output of buccinid Buccinum thermophilum and crab Segonzacia mesatlantica after identifying unique individuals — using {deeptools} package — among Deep Sea Spy citizen participants.

Data cleaning : annotated individuals in background removed*

*Any individual intesecting with the background have been removed in version 1, even the crabs!Please, use version 4 of this dataset where only buccinids in the background have been removed and deeptools package updated.
DOI: 10.5281/zenodo.10696805
title: Data from: Deep Sea Spy: an online citizen science annotation platform for science and ocean literacy
title: Group dataset
title: R script

description: Data sets of buccinid Buccinum thermophilum and crab Segonzacia mesatlantica after identifying unique groups (i.e. individuals) — using the updated version (v0.0.3) of the deeptools package — among Deep Sea Spy citizen participants and expert.

Data cleaning : annotated buccinids in background removed in CS_groups.csv

R script used to generate and analyse the dataset.

Please, use this version (v5).
DOI: 10.5281/zenodo.10722728
title: Citizen Science group dataset — Deep Sea Spy project

description: Group dataset output of buccinid Buccinum thermophilum and crab Segonzacia mesatlantica after identifying unique individuals — using {deeptools} package — among Deep Sea Spy citizen participants.

Data cleaning : annotated individuals in background removed*

*Version 1: any individual intesecting with the background have been removed, even the crabs!*Version 2: any buccinid intesecting with the background have been removed, even on zoom-in images!Please, use version 4 of this dataset where only buccinids in the background have been removed and deeptools package updated.
DOI: 10.5281/zenodo.10813788
title: Data from: Deep Sea Spy: an online citizen science annotation platform for science and ocean literacy
title: Group dataset

description: Group dataset output of buccinid Buccinum thermophilum and crab Segonzacia mesatlantica after identifying unique individuals — using deeptools package — among Deep Sea Spy citizen participants.

Data cleaning : annotated buccinids in background removed

Please, use version 4 of this dataset where deeptools package has been updated.