cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25573/data.10042406.v23
title: Barro Colorado Island, Lutz tower 48m_Solar Radiation, Pyranometer

description: Barro Colorado Island (BCI), Lutz catchment tower 42m & 48m<br>Location 9°9'42.36"N, 79°50'15.67"W<br>Solar Radiation, Pyranometer, interval max/min/avg<br>Lutz catchment is a 9.73ha protected watershed on BCIThe Lutz tower was built in 1972 and was originally 42m. In 2002 it was increased to 48m<br>Data from 42m and 48m can be considered to be one series since the change from 42m to 48m should not have affected the measurements<br>
DOI: 10.25573/data.10042427.v23
title: Barro Colorado Island, Lutz tower 48m_Wind Speed

description: Barro Colorado Island (BCI), Lutz catchment towerLocation 9°9'42.36"N, 79°50'15.67"W<br>Wind speed, electronic sensor, interval max/min/avg<br>Lutz catchment is a 9.73ha protected watershed on BCIThe Lutz tower was built in 1972 and was originally 42m. In 2002 it was increased to 48m<br>The data from 48m should be considered a separate data series from the data at 42m. Wind speed is significantly higher at 48m due to the distance to the top of the canopy.<br>
DOI: 10.25573/data.10042388.v5
title: Bay of Panama Water Quality Monitoring Project_Turbidity and Todal Dissolved Solids (TDS), all stations

description: Bay of Panama water quality monitoring program. <br>Initiated July 2017<br><br>Turbidity data for all stations<br>Depth profiles at 7 locations. Approximately 5m depth intervals<br><br>Sampling Sites<br> 1 8° 38.743'N 79° 2.887'W<br> 2 8° 42.498'N 78° 57.855'W<br> 3 8° 41.894'N 79° 9.648'W<br> 4 8° 44.138'N 79° 15.955'W<br> 5 8° 45.670'N 79° 21.906'W<br> 6 8° 47.078'N 79° 27.968'W<br> 7 8° 51.308'N 79° 28.162'W<br> <br>Weekly depth profile (approximately 5m intervals) using YSI EXO 2 sonde.<br>
DOI: 10.15468/dl.cyy3k4
title: Occurrence Download

description: A dataset containing 774 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Tropaeolum speciosum Poepp. & Endl.)"
 ]
}

 The dataset includes 774 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020799-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15472/wtally
title: Actividad alelopática de Cucurbita ficifolia Bouché y Rubus bogotensis Kunth

description: La información fue generada en la investigación "“Evaluación de aspectos ecológicos y análisis del riesgo de invasión de Cucurbita ficifolia Bouché y Rubus bogotensis Kunth en un área en proceso de restauración ecológica en Bogotá D.C.” que está enmarcada en el contrato de prestación de servicios número 037-2021, cuyo objeto contractual es Prestar los servicios profesionales para realizar actividades con énfasis en aspectos ecológicos de las especies invasoras y/o colonizadoras agresivas priorizadas por la línea de restauración ecológica, en el Distrito Capital y la región.
description: El presente conjunto de datos contiene 224 registros biológicos recolectados en el Bosque Las Mercedes que hace parte de la Reserva Forestal Thomas Van Der Hammen y estas muestras fueron utilizadas en el Jardín Botánico de Bogotá José Celestino Mutis durante los periodos de mayo a septiembre del 2021, con el fin de realizar una evaluación del potencial alelopático de R. bogotensis y C. ficifolia mediante la aplicación de extractos acuosos de raíces y hojas y en función del % de cobertura en la expresión del banco de semillas en muestras de suelo y del % de germinación de semillas.
DOI: 10.15468/dl.mku3na
title: Occurrence Download

description: A dataset containing 110 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Streptocephalus woottoni Eng, Belk & Eriksen, 1990)"
 ]
}

 The dataset includes 110 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020800-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25573/data.10042544.v11
title: Barro Colorado Island, Clearing_Relative Humidity, manual

description: Barro Colorado Island (BCI), Clearing ('El Claro')Location: 9°9'47.21"N, 79°50'17.64"W<br>Wet and dry-bulb psychrometry, daily wet/dry temperatures/relative humidityRecorded approximately 3-5 times per week.<br>The
 Clearing is a small, open area surrounded by forest and some buildings.
 Station established in 1972. Consists of a Stevenson screen with 
max/min thermometers and air pressure sensor. Temperature/humidity 
sensor, rain gauge and evaporation sensors are located at various 
locations around the screen.<br>
DOI: 10.25500/edata.bham.00001109
title: Transcriptions of Greek manuscripts of the Epistle to the Ephesians

description: These transcriptions were all made in the Online Transcription Editor developed as part of the Workspace for Collaborative Editing. The XML encoding is a subset of TEI P5 Encoding described at https://doi.org/10.25500/EPAPERS.BHAM.00004301
DOI: 10.15468/ne6366
title: Global distribution of marine forests [literature records]

description: The dataset provides a fine-tuned dataset of marine ecosystem-structuring species of large brown algae and seagrasses compiled from literature, with dereplicated occurrence records, taxonomically standardized, and considering important physiological and biogeographical traits. <br> The dataset is documented in the peer reviewed article "Assis, J., Fragkopoulou, E., Frade, D. et al. A fine-tuned global distribution dataset of marine forests. Sci Data 7, 119 (2020). https://doi.org/10.1038/s41597-020-0459-x"
DOI: 10.15468/dl.5hrmmg
title: Occurrence Download

description: A dataset containing 23953 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Tsuga heterophylla (Raf.) Sarg.)"
 ]
}

 The dataset includes 23953 records from 310 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020801-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25573/data.10042463.v25
title: Barro Colorado Island, Clearing_Electronic Precipitation

description: Barro Colorado Island (BCI), Clearing ('El Claro')Location: 9°9'47.21"N, 79°50'17.64"W<br>Precipitation, electronic, Interval totals<br><br>The Clearing is a small, open area surrounded by forest and some buildings. Station established in 1972. Consists of a Stevenson screen with max/min thermometers and air pressure sensor. Temperature/humidity sensor, rain gauge and evaporation sensors are located at various locations around the screen.<br>
DOI: 10.25573/data.10042517.v10
title: Barro Colorado Island, Lutz catchment, Soil moisture, manual

description: Lutz catchment, gravimetric soil moisture<br>Lutz catchment is a 9.73ha protected watershed on BCI<br>Soil moisture recorded at two levels at 10 stations around the Lutz catchment.<br>Wet weight, dry weight, tarre, % moisture by wet weight, %moisture by dry weight<br>Data collected once a week between mid-December and end of May (wet season), and bi-weekly otherwise (dry season)<br>
DOI: 10.25573/data.10042445.v21
title: Barro Colorado Island, AVA tower_Wind speed

description: Barro Colorado Island, AVA tower.Wind speed, electronic sensor, interval max/min/avg<br>Established in Mar, 2011 as part of the ForestGEO Tropical Ecology, Assessment and Monitoring (TEAM) project.<br>The original tower was Located near the center of the island at the north west corner of the 50ha plot (9.1568°, -79.8486°).<br>In 2018 this tower was struck by a tree fall and rendered unusable.<br>In Feb. 2019 a new 45m tower was build close by (9.1568°, -79.8486°). <br>
DOI: 10.5281/zenodo.11204546
title: Dataset including raw dataset and analyses for the paper for PACIS conference, titled: Measuring Internal Validity in Mixed Methods User Feedback Survey by Finding Inconsistencies with sentimentR and ChatGPT-4
DOI: 10.5281/zenodo.11204297
title: Land Use and Land Cover Mapping of Katanino Forest Reserve, Zambia (2019–2023)

description: Overview

The land use and land cover maps encompass the Katanino Forest Reserve in the Copperbelt province, Zambia. These maps categorize the area into two classes: forest and non-forest. They were derived from NICFI, Sentinel-2, and Sentinel-1 mosaics, resulting in a spatial resolution of 4.77 meters, covering the period from 2019 to 2023. 

Maps Accuracy

The overall accuracy of the final annual maps (2019–2023) ranged from 0.90 to 0.94. The user’s and producer’s accuracies are detailed in Table 1.

Table 1:  Land use and land cover maps validation, including overall, producer (PA) and user (UA) accuracies values for each class.






 



2019



 



2020



 



2021



 



2022



 



2023



 





 



PA



UA



PA



UA



PA



UA



PA



UA



PA



UA





Forest



0.87



0.99



0.83



0.99



0.88



0.99



0.91



0.99



0.88



1





Non Forest



0.99



0.86



0.99



0.82



0.99



0.99



0.99



0.89



1



0.87





Overall Accuracy



0.92



 



0.90



 



0.93



 



0.94



 



0.93



 





Files descripion



KAT_2019.tif: 2019 land use and land cover map

KAT_2020.tif: 2020 land use and land cover map

KAT_2021.tif: 2021 land use and land cover map

KAT_2022.tif: 2022 land use and land cover map

KAT_2023.tif: 2023 land use and land cover map

qgis_style.qml: QGIS style file

KAT_training_samples(.shp, .shx, .dbf, .prj): training samples with class labels

KAT_validation_samples(.shp, .shx, .dbf, .prj): validation samples with class labels
DOI: 10.5281/zenodo.11204298
title: Land Use and Land Cover Mapping of Katanino Forest Reserve, Zambia (2019–2023)

description: Overview

The land use and land cover maps encompass the Katanino Forest Reserve in the Copperbelt province, Zambia. These maps categorize the area into two classes: forest and non-forest. They were derived from NICFI, Sentinel-2, and Sentinel-1 mosaics, resulting in a spatial resolution of 4.77 meters, covering the period from 2019 to 2023. 

Maps Accuracy

The overall accuracy of the final annual maps (2019–2023) ranged from 0.90 to 0.94. The user’s and producer’s accuracies are detailed in Table 1.

Table 1:  Land use and land cover maps validation, including overall, producer (PA) and user (UA) accuracies values for each class.






 



2019



 



2020



 



2021



 



2022



 



2023



 





 



PA



UA



PA



UA



PA



UA



PA



UA



PA



UA





Forest



0.87



0.99



0.83



0.99



0.88



0.99



0.91



0.99



0.88



1





Non Forest



0.99



0.86



0.99



0.82



0.99



0.99



0.99



0.89



1



0.87





Overall Accuracy



0.92



 



0.90



 



0.93



 



0.94



 



0.93



 





Files descripion



KAT_2019.tif: 2019 land use and land cover map

KAT_2020.tif: 2020 land use and land cover map

KAT_2021.tif: 2021 land use and land cover map

KAT_2022.tif: 2022 land use and land cover map

KAT_2023.tif: 2023 land use and land cover map

qgis_style.qml: QGIS style file

KAT_training_samples(.shp, .shx, .dbf, .prj): training samples with class labels

KAT_validation_samples(.shp, .shx, .dbf, .prj): validation samples with class labels
DOI: 10.15468/dl.kxzs3z
title: Occurrence Download

description: A dataset containing 2154 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Turbina corymbosa (L.) Raf.)"
 ]
}

 The dataset includes 2154 records from 147 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020802-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25573/data.10042454.v21
title: Barro Colorado Island, AVA tower_Wind direction

description: Barro Colorado Island, AVA tower.Mean vector, wind direction<br>Established in Mar, 2011 as part of the ForestGEO Tropical Ecology, Assessment and Monitoring (TEAM) project.<br>The original tower was Located near the center of the island at the north west corner of the 50ha plot (9.1568°, -79.8486°).<br>In 2018 this tower was struck by a tree fall and rendered unusable.<br>In Feb. 2019 a new 45m tower was build close by (9.1568°, -79.8486°). <br>
DOI: 10.25402/bio.16950883.v1
title: Supplementary table: Mass spectrometric conditions of duloxetine, 4HDG and fluoxetine

description: Supplementary Table <br>
DOI: 10.1184/r1/25723980.v1
title: Arkypallidal neurons in the external globus pallidus can mediate inhibitory control by altering competition in the striatum

description: Here we include code, demonstration notebooks, and data from a set of simulations of the cortico-basal ganglia-thalamic loops in the brain during the execution of a reactive inhibitory control task. The goal of this project was to characterize the role of arkypallidal and subthalamic nuclei cell populations in fast, reactive stopping.
DOI: 10.1184/r1/25723980
title: Arkypallidal neurons in the external globus pallidus can mediate inhibitory control by altering competition in the striatum

description: Here we include code, demonstration notebooks, and data from a set of simulations of the cortico-basal ganglia-thalamic loops in the brain during the execution of a reactive inhibitory control task. The goal of this project was to characterize the role of arkypallidal and subthalamic nuclei cell populations in fast, reactive stopping.
DOI: 10.25402/bio.19208859.v1
title: Supplemental_EP Motion Stds QCs script: Comparison of three parallelism assessment methods in biomarker quantification by LC-MS/MS: case study of bioanalysis of creatinine in human urine samples

description: EP Motion Stds QCs
script and parallelism comparison raw data set
DOI: 10.6084/m9.figshare.25838239
title: Supplementary Material for: Mind the gap in kidney care: translating what we know into what we do

description: Medicine
DOI: 10.15468/dl.gftqsj
title: Occurrence Download

description: A dataset containing 4352 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Turnera subulata J.E.Sm.)"
 ]
}

 The dataset includes 4352 records from 169 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020803-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10063353
title: Replication Package for "Smarter Project Selection For Software Engineering Research"

description: This dataset represents the replication package for the paper:  Smarter Project Selection For Software Engineering Research, accepted at  PROMISE 2024 - 20th International Conference on Predictive Models and Data Analytics in Software Engineering. The README file contains the details of the dataset.
DOI: 10.5281/zenodo.10059431
title: Replication Package for "Smarter Project Selection For Software Engineering Research"

description: This dataset represents the replication package for the paper:  Smarter Project Selection For Software Engineering Research, accepted at  PROMISE 2024 - 20th International Conference on Predictive Models and Data Analytics in Software Engineering. The README file contains the details of the dataset.
DOI: 10.5281/zenodo.10059432
title: GH Project Categorization dataset
DOI: 10.15468/dl.rcb6uc
title: Occurrence Download

description: A dataset containing 6204 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Turnera ulmifolia L.)"
 ]
}

 The dataset includes 6204 records from 272 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020804-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.egejb8
title: Occurrence Download

description: A dataset containing 278281 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "TaxonKey is Apidae"
 ]
}

 The dataset includes 278281 records from 95 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020794-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/zy3r6p
title: e-Valley, le plus grand parc e-logistique d'Europe - Flore - Inventaire non standardisé

description: Liste des plantes observées dans le cadre des prospections de terrain réalisées au niveau de l'aire d'étude du projet de reconversion de la BA 103
DOI: 10.6084/m9.figshare.25838581
title: NbTaV_BCC_SolidSolution_128atoms_VASP6 - Part 2 - DOI: 10.13139/OLCF/2217644

description: Every chemical composition sampled across the composition range in the dataset has its own directory. The convention used to name the directories for ternary alloys is AXBYCZ, where A, B, and C refer to the constituents, and X, Y, and Z are positive integers that represent the number of atoms for each constituent and their values still sum up to 128. Each atomic structure associated with a specific chemical composition has its own sub-directory within the directory of the corresponding chemical composition. The sub-directories for each atomic structure for each chemical composition are named 'case-*', where * is a positive integer that spans all the values from 1 through 100, extremes included. The files contained in each sub-directory 'case-*' for each atomic structure are as follows:<br>1. INCAR: input file that contains various parameters and settings for controlling the behavior of the electronic structure calculations2. 0.POSCAR: input file that defines the atomic structure of a system3. 0.CONTCAR: output file that provides the atomic positions and cell parameters after the first geometry optimization has been run with the precision variable set to PREC=Low in the INCAR file4. 0.OUTCAR: output file that contains detailed information about the progress of a calculation after the first geometry optimization has been run with the precision variable set to PREC=Low in the INCAR file5. rlx1.out: file with diagnostic information about the execution of the first geometry optimization with precision variable set to PREC=Low in the INCAR file6. POSCAR: input file that defines the atomic structure of a system after the first geometry optimization has been run at low precision. This represents the input for the second geometry optimization run with the precision variable set to PREC=Normal in the INCAR file7. CONTCAR: output file that provides the atomic positions and cell parameters after the second geometry optimization has been run with the precision variable set to PREC=Normal in the INCAR file8. OUTCARL: output file that contains detailed information about the progress of a calculation after the second geometry optimization has been run with the precision variable set to PREC=Normal in the INCAR file9. rlx2.out: file with diagnostic information about the execution of the second geometry optimization with precision variable set to PREC=Normal in the INCAR file10. vaspout.h5: hierarchical HDF5 file containing the inputs and outputs of a VASP calculation. To analyze the data in this file we recommend using py4vasp. This file is only produced if the VASP version used is compiled with HDF5 support11. vasprun.xml: contains similar information to OUTCAR, but in an xml format.
DOI: 10.6084/m9.figshare.25838581.v1
title: NbTaV_BCC_SolidSolution_128atoms_VASP6 - Part 2 - DOI: 10.13139/OLCF/2217644

description: Every chemical composition sampled across the composition range in the dataset has its own directory. The convention used to name the directories for ternary alloys is AXBYCZ, where A, B, and C refer to the constituents, and X, Y, and Z are positive integers that represent the number of atoms for each constituent and their values still sum up to 128. Each atomic structure associated with a specific chemical composition has its own sub-directory within the directory of the corresponding chemical composition. The sub-directories for each atomic structure for each chemical composition are named 'case-*', where * is a positive integer that spans all the values from 1 through 100, extremes included. The files contained in each sub-directory 'case-*' for each atomic structure are as follows:<br>1. INCAR: input file that contains various parameters and settings for controlling the behavior of the electronic structure calculations2. 0.POSCAR: input file that defines the atomic structure of a system3. 0.CONTCAR: output file that provides the atomic positions and cell parameters after the first geometry optimization has been run with the precision variable set to PREC=Low in the INCAR file4. 0.OUTCAR: output file that contains detailed information about the progress of a calculation after the first geometry optimization has been run with the precision variable set to PREC=Low in the INCAR file5. rlx1.out: file with diagnostic information about the execution of the first geometry optimization with precision variable set to PREC=Low in the INCAR file6. POSCAR: input file that defines the atomic structure of a system after the first geometry optimization has been run at low precision. This represents the input for the second geometry optimization run with the precision variable set to PREC=Normal in the INCAR file7. CONTCAR: output file that provides the atomic positions and cell parameters after the second geometry optimization has been run with the precision variable set to PREC=Normal in the INCAR file8. OUTCARL: output file that contains detailed information about the progress of a calculation after the second geometry optimization has been run with the precision variable set to PREC=Normal in the INCAR file9. rlx2.out: file with diagnostic information about the execution of the second geometry optimization with precision variable set to PREC=Normal in the INCAR file10. vaspout.h5: hierarchical HDF5 file containing the inputs and outputs of a VASP calculation. To analyze the data in this file we recommend using py4vasp. This file is only produced if the VASP version used is compiled with HDF5 support11. vasprun.xml: contains similar information to OUTCAR, but in an xml format.
DOI: 10.15468/dl.4cgh84
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-92.75073 24.77907,-66.63215 24.77907,-66.63215 49.32407,-92.75073 49.32407,-92.75073 24.77907))",
 "TaxonKey is Helvella palustris Peck"
 ]
}

 The dataset includes 24 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020806-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25402/bio.19208862.v1
title: Supplemental_parallelism comparison raw data set: Comparison of three parallelism assessment methods in biomarker quantification by LC-MS/MS: case study of bioanalysis of creatinine in human urine samples

description: EP Motion Stds QCs
script and parallelism comparison raw data set
DOI: 10.15468/dl.9sh2ar
title: Occurrence Download

description: A dataset containing 244 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Aletris bracteata Northr.)"
 ]
}

 The dataset includes 244 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020809-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x7yntz
title: Occurrence Download

description: A dataset containing 679 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (ARG, CHL, PRY, URY, FLK, BRA.21_1, BRA.16_1, BRA.24_1)",
 "TaxonKey is Lucilia Cass."
 ]
}

 The dataset includes 679 records from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020810-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.