cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.3rbtgb
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Portugal",
 {
 "or" : [
 "DatasetKey is Catálogo Florístico Histórico de Navarra. Gobierno de Navarra",
 "DatasetKey is Base de datos de plantas vasculares del País Vasco: ARAN-EH",
 "DatasetKey is Sistema de Información de la vegetación Ibérica y Macaronésica",
 "DatasetKey is Colección de plantas vasculares del Herbario \"Jaime Andrés Rodríguez\". LEB",
 "DatasetKey is Universidad de Oviedo. Departamento de Biología de Organismos y Sistemas: FCO-Briof",
 "DatasetKey is Universidad de Oviedo. Departamento de Biología de Organismos y Sistemas: FCO",
 "DatasetKey is Norwegian Species Observation Service",
 "DatasetKey is VIT Herbarium - Vascular Plants (The Natural History Museum of Alava)",
 "DatasetKey is Vascular Plant Herbarium, Oslo (O) UiO",
 "DatasetKey is iNaturalist Research-grade Observations"
 ]
 },
 "HasCoordinate is true",
 "TaxonKey is Narcissus asturiensis (Jord.) Pugsley",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010458-180824113759888/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jsz35p
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Julbernardia gossweileri (Baker f.) Torre & Hillc."
 ]
}

 The dataset includes 25 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035249-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nbrsx8
title: Occurrence Download

description: A dataset containing 5366 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Coccinella hieroglyphica Linnaeus, 1758"
 ]
}

 The dataset includes 5366 records from 129 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0092968-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a8felr
title: Occurrence Download

description: A dataset containing 5432713 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Colombia"
 ]
}

 The dataset includes 5432713 records from 1718 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010458-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11488380
title: Artifacts of the "Open Science in Software Engineering Research: Review, Recommendations, and Research Agenda" article

description: In this repository, there are:



a CSV-format file with the 15 analyzed studies' information;

a CSV-format file containing the rejected studies from the automatic search and respective information upon rejection;

a CSV-format file with the rejected studies from the snowballing procedures; and

a PDF-format file with the high-resolution image of the FOSTER taxonomy with open science practices, challenges, recommendations, and research agenda items.


This study is funded by:



CAPES (Coordenação de Aperfeiçoamento de Pessoal de Nível Superior) (PROAP/CAPES, Brazil) code 001

CNPq/Brazil Grant 311503/2022-5
DOI: 10.5281/zenodo.11488379
title: Artifacts of the "Open Science in Software Engineering Research: Review, Recommendations, and Research Agenda" article

description: In this repository, there are:



a CSV-format file with the 15 analyzed studies' information;

a CSV-format file containing the rejected studies from the automatic search and respective information upon rejection;

a CSV-format file with the rejected studies from the snowballing procedures;

a PDF-format file with a high-resolution image of the FOSTER taxonomy with open science practices, challenges, recommendations, and research agenda items;

a PDF containing additional information on the open science practices, challenges, observations, and research agenda items.


This study is funded by:



CAPES (Coordenação de Aperfeiçoamento de Pessoal de Nível Superior) (PROAP/CAPES, Brazil) code 001

CNPq/Brazil Grant 311503/2022-5
DOI: 10.5281/zenodo.13838567
title: Artifacts of the "Open Science in Software Engineering Research: Review, Recommendations, and Research Agenda" article

description: In this repository, there are:



a CSV-format file with the 15 analyzed studies' information;

a CSV-format file containing the rejected studies from the automatic search and respective information upon rejection;

a CSV-format file with the rejected studies from the snowballing procedures;

a PDF-format file with a high-resolution image of the FOSTER taxonomy with open science practices, challenges, recommendations, and research agenda items;

a PDF containing additional information on the open science practices, challenges, observations, and research agenda items.


This study is funded by:



CAPES (Coordenação de Aperfeiçoamento de Pessoal de Nível Superior) (PROAP/CAPES, Brazil) code 001

CNPq/Brazil Grant 311503/2022-5
DOI: 10.15468/dl.mbgfmp
title: Occurrence Download

description: A dataset containing 668 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Squamata",
 "TaxonKey is Crocodylia",
 "TaxonKey is Testudines",
 "TaxonKey is Sphenodontia",
 "TaxonKey is Amphibia"
 ]
 },
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "and" : [
 "DecimalLongitude is greater than -64.8308334",
 "DecimalLongitude is less than -64.6916656",
 "DecimalLatitude is greater than 32.2475014",
 "DecimalLatitude is less than 32.3538895",
 "Country is Bermuda"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 668 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030150-240906103802322/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.27101503.v2
title: Do Developers Adopt Green Architectural Tactics for ML-Enabled Systems? A Mining Software Repository Study

description: This replication package contains all necessary data, scripts, and materials to reproduce the experiments and analyses conducted in the study “<b>Do Developers Adopt Green Architectural Tactics for ML-Enabled Systems? A Mining Software Repository Study</b>”. The package is organized into several directories, each containing specific types of files such as datasets, scripts, measurements, and analysis notebooks.
DOI: 10.15468/dl.9yvxz9
title: Occurrence Download

description: A dataset containing 5474 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "Geometry POLYGON((71.85341 -1.89935,74.55265 -1.89935,74.55265 7.30155,71.85341 7.30155,71.85341 -1.89935))"
 ]
}

 The dataset includes 5474 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030151-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.22w9ra
title: Occurrence Download

description: A dataset containing 1675 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Squamata",
 "TaxonKey is Crocodylia",
 "TaxonKey is Testudines",
 "TaxonKey is Sphenodontia",
 "TaxonKey is Amphibia"
 ]
 },
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "and" : [
 "DecimalLongitude is greater than 8.4140291",
 "DecimalLongitude is less than 8.9379158",
 "DecimalLatitude is greater than 3.2093902",
 "DecimalLatitude is less than 3.7884719",
 "Country is Equatorial Guinea"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 1675 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030152-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c4dpbm
title: Occurrence Download

description: A dataset containing 1864514 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "Geometry POLYGON((79.54106 5.30169,82.3976 5.30169,82.3976 9.93,79.54106 9.93,79.54106 5.30169))"
 ]
}

 The dataset includes 1864514 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030103-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.byzw86
title: Occurrence Download

description: A dataset containing 648 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Geometry POLYGON((36.27329 11.63528,33.72899 6.70571,31.18469 -8.7986,38.42004 -10.46829,44.78078 8.3754,41.28237 11.47627,36.27329 11.63528))",
 "OccurrenceStatus is Present",
 "TaxonKey is Equus grevyi Oustalet, 1882",
 "Year is greater than or equal to 1924"
 ]
}

 The dataset includes 648 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030154-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11083160
title: Pollination-related plant traits under environmental changes: seasonal and daily mismatches produce temporal constraints
DOI: 10.15468/dl.uvt2ea
title: Occurrence Download

description: A dataset containing 109 records in GBIF matching the query:
SELECT PRINTF('%04d-%02d', "year", "month") AS yearMonth, GBIF_EQDGCCode(3, decimalLatitude, decimalLongitude, COALESCE(coordinateUncertaintyInMeters, 10000)) AS eqdgcCellCode, basisOfRecord, datasetKey, countryCode, speciesKey, species, family, class, order_, COUNT(*) AS occurrences FROM occurrence WHERE occurrenceStatus = 'PRESENT' AND "year" &lt;= 2024 AND countryCode in ('PE', 'BO') AND speciesKey IN (5203461, 5203465, 5203444, 5203423, 5203471, 5203437, 5203478, 5203479, 5203453, 5203450, 5203418, 5203477, 5203443) AND hasCoordinate = TRUE AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE') AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE') AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID') AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH') AND "month" IS NOT NULL GROUP BY yearMonth, eqdgcCellCode, basisOfRecord, datasetKey, countryCode, speciesKey, species, family, class, order_ ORDER BY yearMonth DESC, eqdgcCellCode ASC, countryCode ASC

 The dataset's 109 records were derived from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030131-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13806234
title: CLAP features for Audio Moment Retrieval

description: This page includes CLAP features of three datasets used in Language-based audio moment retrieval [1].



Clotho-Moment

UnAV100-subset

TUT Sound Events 2017


Raw wav files are also publicly available here.

[1] H. Munakata, T. Nishimura, S. Nakada, T. Komatsu, "Language-based Audio Moment Retrieval", 2024, under review.

How to Use

We can train/evaluate audio moment retrieval models using these features in Lighthouse.Please check the instructions of Lighthouse.



Unzip the file with the following commandsClotho-moment: 



for file in clotho-moment_features.tar.part-*.gz; do gunzip "$file"; done

clotho-moment_features.tar.part-* > clotho-moment_features.tar

tar -xvf clotho-moment_features.tar

UnAV100-subset, TUT Sound Events 2017: 



tar -xvf tut2017_features.tar.gz

tar -xvf unav100-subset_features.tar.gz



Set symbolic links in Lighthouseln -s features/{dataset_name} {lighthouse_dir}/features

Train the modelpython training/train.py --model qd_detr --dataset clotho-moment --feature clap

Evaluate the model



model=qd_detr



dataset=unav100-subset

feature=clap

model_path={lighthouse_dir}/results/qd_detr/clotho-moment/clap/best.ckpt

eval_split_name=val

eval_path=data/unav100-subset/unav100-subset_test_release.jsonl
python training/evaluate.py \

--model $model \

--dataset $dataset \

--feature $feature \

--model_path $model_path \

--eval_split_name $eval_split_name \

--eval_path $eval_path
DOI: 10.6084/m9.figshare.27102322
title: Salix atrocinerea chorology

description: Distribution map of <i>Salix atrocinerea</i>.These maps were produced by combining numerous and heterogeneous data collected from atlas monographs providing complete species distribution maps, from national to regional atlases, occurrence geo-databases, scientific and grey literature. The maps were created using ESRI shapefiles (*.shp, *.shx, *.dbf, *.prj files) archived in the ZIP file. Species range is mapped with polygon features (name suffix "plg"), which define continuous areas of occupancy of the species, and with point features (name suffix "pnt"), which identify more fragmented and isolated populations. If synanthropic occurrences are reported outside the species natural range, additional point and/or polygon shapefiles are also present (suffix "syn"). Polygon borders delimiting species ranges are generalized across the mainland and sea boundaries. This offers the possibility to mask sea areas or to clip and extract the terrestrial range parts using GIS data layers of the users' choice. An additional version of polygon ranges are clipped with a coastline (name suffix "clip"), which have been derived from Natural Earth dataset "Admin 0 - Countries" 1:50M version 4.1.0 (https://www.naturalearthdata.com).Please cite as: Caudullo, G., Welk, E., San-Miguel-Ayanz, J., 2017. Chorological maps for the main European woody species. Data in Brief 12, 662-666. DOI: doi.org/10.1016/j.dib.2017.05.007Additional information and used references are on 'supplementary materials' document: https://doi.org/10.6084/m9.figshare.5091901Chorological maps are part of the "European Atlas of Forest Tree Species" project: https://w3id.org/mtv/FISE-Comm/v01
DOI: 10.15468/dl.3h4zsb
title: Occurrence Download

description: A dataset containing 340 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Psychotria lanceifolia K.Schum."
 ]
}

 The dataset includes 340 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030158-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pxfmmh
title: Occurrence Download

description: A dataset containing 79 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Abutilon dinteri Ulbr."
 ]
}

 The dataset includes 79 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030157-240906103802322/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.27102346
title: Table 01

description: Table 1
DOI: 10.6084/m9.figshare.27102346.v1
title: Table 01

description: Table 1
DOI: 10.5281/zenodo.13837681
title: Data from multi-sensor devices and reference station to monitoring urban air quality

description: Data from electrochemical and optical sensors.

Files names



ECT01, ECT02, ECT06, ECT07 = device name

ISSEP = reference station



"c" = calibration data

"v" = validation data




Variable description




Electrochemical sensor
Optical sensor
Probe
Reference




AE = auxiliary electrode (mV)

WE = working electrode (mV)

N = temperature correction 



ch0 = CO sensor

ch1 = OX sensor

ch2 = NO2 sensor

ch3 = NO sensor




PM1, PM2.5 and PM10 in µg/m³



Prs_mbar = pressure (mbar)

Temp = temperature (°C)

RH = relative humidity (%)



DV30 = wind direction @ 30m (°)

HR = relative humidity (%)

NO, NO2, O3, PM10 and PM2.5 (µg/m³)

Precipita = precipitation (mm)

TC3 = temperature @ 3m (°C)

VV30 = wind speed @ 30m (m/s)
DOI: 10.5281/zenodo.13837682
title: Data from multi-sensor devices and reference station to monitoring urban air quality

description: Data from electrochemical and optical sensors.

Files names



ECT01, ECT02, ECT06, ECT07 = device name

ISSEP = reference station



"c" = calibration data

"v" = validation data




Variable description




Electrochemical sensor
Optical sensor
Probe
Reference




AE = auxiliary electrode (mV)

WE = working electrode (mV)

N = temperature correction 



ch0 = CO sensor

ch1 = OX sensor

ch2 = NO2 sensor

ch3 = NO sensor




PM1, PM2.5 and PM10 in µg/m³



Prs_mbar = pressure (mbar)

Temp = temperature (°C)

RH = relative humidity (%)



DV30 = wind direction @ 30m (°)

HR = relative humidity (%)

NO, NO2, O3, PM10 and PM2.5 (µg/m³)

Precipita = precipitation (mm)

TC3 = temperature @ 3m (°C)

VV30 = wind speed @ 30m (m/s)
DOI: 10.5281/zenodo.11072723
title: 5-Class Burst C-VEP with Dry EEG

description: Participants

The experiment was conducted with twenty four healthy volunteers (4 women, mean age = 29.3 years, SD = 7.5), all students and staff at ISAE-SUPAERO. None of the participants reported any of the exclusion criteria (neurological antecedents, being under psychoactive medication at the time of the study) and had normal or corrected-to-normal vision. The study was approved by the ethics committee of the University of Toulouse (CER approval number 2023-749) and was carried in accordance with the declaration of Helsinki. Participants gave informed written consent prior to the experiment

Experimental Protocol

Participants were comfortably seated and instructed to read and sign the informed consent. EEG data were recorded using the dry 8-electrodes Enobio system at a sample rate of 500Hz to record the surface brain activity. The 8 electrodes were positioned over the occipital and parieto-occipital sites: PO7, O1, O2, O3, PO8, PO3, POz, PO4. EEG data and markers were synchronized during recording using Lab Streaming Layer. Once equipped with the dry 8-electrode EEG system, volunteers were asked to focus on five targets that were cued sequentially in a random order for 0.5s, followed by a 2.2s stimulation phase, before a 0.7s inter-trial period. The cue sequence for each trial was pseudo-random and different for each block. After each block, a pause was observed and subjects had to press the space bar to continue. The participants were presented with fifteen blocks of five trials for each of the three conditions (Gabor-based textures, Ricker-based textures or Plain stimuli). The stimuli were presented on the following LCD 24.5'' monitor: Iiyama Gold Phoenix G-Master GB2590HSU-B1, 1920x1080 pixels, 400 cd/m², and the refresh rate has been set to 60Hz.

Preprocessing

No pre-processing was applied on these data, and they have been neither sliced or epoched, although it remains possible to do so with the help of the markers.
DOI: 10.5281/zenodo.13838406
title: 5-Class Burst C-VEP with Dry EEG

description: Participants

The experiment was conducted with twenty four healthy volunteers (4 women, mean age = 29.3 years, SD = 7.5), all students and staff at ISAE-SUPAERO. None of the participants reported any of the exclusion criteria (neurological antecedents, being under psychoactive medication at the time of the study) and had normal or corrected-to-normal vision. The study was approved by the ethics committee of the University of Toulouse (CER approval number 2023-749) and was carried in accordance with the declaration of Helsinki. Participants gave informed written consent prior to the experiment

Experimental Protocol

Participants were comfortably seated and instructed to read and sign the informed consent. EEG data were recorded using the dry 8-electrodes Enobio system at a sample rate of 500Hz to record the surface brain activity. The 8 electrodes were positioned over the occipital and parieto-occipital sites: PO7, O1, O2, O3, PO8, PO3, POz, PO4. EEG data and markers were synchronized during recording using Lab Streaming Layer. Once equipped with the dry 8-electrode EEG system, volunteers were asked to focus on five targets that were cued sequentially in a random order for 0.5s, followed by a 2.2s stimulation phase, before a 0.7s inter-trial period. The cue sequence for each trial was pseudo-random and different for each block. After each block, a pause was observed and subjects had to press the space bar to continue. The participants were presented with fifteen blocks of five trials for each of the three conditions (Gabor-based textures, Ricker-based textures or Plain stimuli). The stimuli were presented on the following LCD 24.5'' monitor: Iiyama Gold Phoenix G-Master GB2590HSU-B1, 1920x1080 pixels, 400 cd/m², and the refresh rate has been set to 60Hz.

Preprocessing and Lag Correction

No pre-processing was applied on these data, and they have been neither sliced or epoched, although it remains possible to do so with the help of the markers. However, note that the Enobio streaming system we used introduced a constant 80ms lag in its data. The data provided in the dataset has not been corrected as they we only present raw data without modifications. We advise users of this dataset to correct this by shifting the EEG data 80ms for precise timing.

Electrode Location and Naming

In the dataset files, electrodes are named EEG001, ..., EEG007, the generic naming of the electrodes with the Enobio system we used. We provide along the dataset files a .loc file to map these generic names to standard 10-20 naming scheme and their respective location.