cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/f94xs4hrtb.2
title: Forecast of Daily Reference Crop Evapotranspiration Using Universal Deep Learning Models in China

description: Evapotranspiration is a key process in ecosystems, and accurate prediction of short-term daily reference crop evapotranspiration (ETo) is crucial for real-time irrigation decision-making and regional water resource allocation. Due to the complex nonlinear relationship between meteorological factors and ETo, deep learning models are often trained using meteorological observation data from several to dozens of stations to estimate ETo at the station scale. These ETo estimation models are then driven by weather forecast data to achieve ETo prediction.
we first evaluated the accuracy of daily temperature forecasts for the next 15 days based on four years of weather forecast data collected from 2,381 stations. Subsequently, based on different input variables from this stations, we developed three ETo estimation cases and five ETo forecast cases. For each case, five time series DL models derived from improvements to RNNs were employed (i.e., LSTM, BiLSTM, GRU, CNN-BiLSTM, CNN-BiLSTM-Attention). The results can be concluded as below.
The results revealed that the differences in ETo estimating performance between the DL models were significantly smaller than the variations between different training strategies.With the average Root Mean Square Error (RMSE) of the five DL models decreasing from 0.55 mm d-1 to 0.48 mm d-1. Furthermore, when we directly use a larger volume of weather forecast data to train the models, the forecasting accuracy of ETo has been significantly improved, and among the five DL models, the GRU performed the best. Specifically, the RMSE values for the GRU model's future ETo forecasts on the 1st, 4th, 7th, and 15th days have decreased from 0.70, 0.87, 1.00, and 1.33 mm d-1 to 0.51, 0.56, 0.61, and 0.67 mm d-1, respectively. 
We have provided a portion of weather forecast data and historical meteorological data for your reference and use. These data cover multiple key meteorological indicators such as temperature, humidity, wind speed, and precipitation, with high accuracy and reliability. Additionally, we offer a pre-trained model based on deep learning algorithms, specifically designed for predicting short-term daily reference crop evapotranspiration (ETo). In the "research" folder, there are three main sections: the Estimating Model, the Forecasting Model, and the Data. The Data section includes a portion of the data we use for model training, comprising a complete set of meteorological data necessary for calculating reference evapotranspiration. The Estimating Model section contains models designed for estimating reference evapotranspiration, while the Forecasting Model section includes models used for forecasting reference evapotranspiration.
You can utilize this model free of charge to enhance your real-time irrigation decision-making and regional water resource allocation efforts. By providing these data and the model, we aim to facilitate and assist your related research and practices.
DOI: 10.15468/dl.b5u6dj
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "Geometry POLYGON((-52.13597 -20.67067,-52.07296 -20.99389,-51.77774 -21.04756,-51.61439 -20.77569,-52.13597 -20.67067))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Squamata"
 ]
}

 The dataset includes 10 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007384-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/tdkb5rpsch.1
title: Chronic Pain Audio Dataset

description: The Chronic Pain Audio Dataset comprises 256 audio recordings in Spanish from patients aged between 24 and 84 years who suffer from musculoskeletal pain. The purpose of this study is to contribute a dataset for the classification of pain levels into the following categories: None (Nada), Low (Bajo), Medium (Medio) and Strong (Fuerte).
The audio recordings were collected from diverse sources to ensure representativeness and diversity. They include interviews with individuals attending medical consultations and physiotherapy treatments, as well as voluntary contributions recorded during a knee prosthesis surgery campaign.
The recordings employ a verbal scale to describe the intensity of pain experienced by patients at the time of the interview. After being recorded, the audio data underwent processing to enhance its quality, involving stages of selection, trimming, and normalisation. During these procedures, it was determined that an optimal length for usability is between 1 and 5 seconds. Volume normalisation and the removal of silences were applied to produce high-quality audio, suitable for use in training machine learning models.
DOI: 10.15468/dl.2mchxa
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Limanda herzensteini Jordan & Snyder, 1901",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007385-241126133413365/datasets/export for details.
DOI: 10.17632/4zmwnrs7df.1
title: STROBE checklist UBRP

description: STROBE checklist UBRP for F1000
DOI: 10.17632/by2xmg7jvc.1
title: Neural Network for Predicting Soil Thermal Conductivity

description: The uploaded files are the referenced dataset for the article "Neural network prediction of thermal conductivity across full saturation for various soil types" submitted to Agricultural Forest and Meteorology. It comprises two folders:

1. “Model Prediction” Folder: This folder contains the complete dataset utilized in this study, along with the trained neural network (py and pth files). It enables users to reproduce the results presented in Figure 8 (training and testing outcomes) and facilitates the application of the model to additional soil datasets.
2. “Global Map of Model Parameters” Folder: This folder demonstrates an example application of the trained model, where the authors used SSCBD data from a global hydraulic properties dataset to generate and visualize the global distribution of the MLD model parameters.
DOI: 10.17632/by2xmg7jvc.2
title: Neural Network for Predicting Soil Thermal Conductivity

description: The uploaded files are the referenced dataset for the article "Neural network prediction of thermal conductivity across full saturation for various soil types" submitted to Agricultural Forest and Meteorology. It comprises two folders:

1. “Model Prediction” Folder: This folder contains the complete dataset utilized in this study, along with the trained neural network (py and pth files). It enables users to reproduce the results presented in Figure 8 (training and testing outcomes) and facilitates the application of the model to additional soil datasets.
2. “Global Map of Model Parameters” Folder: This folder demonstrates an example application of the trained model, where the authors used SSCBD data from a global hydraulic properties dataset to generate and visualize the global distribution of the MLD model parameters.
DOI: 10.17632/by2xmg7jvc.3
title: Neural Network for Predicting Soil Thermal Conductivity

description: The uploaded files are the referenced dataset for the article "Neural network prediction of thermal conductivity across full saturation for various soil types" submitted to Agricultural Forest and Meteorology. It comprises two folders:

1. “Model prediction” Folder: This folder contains the complete dataset utilized in this study, along with the trained neural network (py and pth files). It enables users to reproduce the results presented in Figure 8 (training and testing outcomes) and facilitates the application of the model to additional soil datasets.
2. “Parameters map” Folder: This folder demonstrates an example application of the trained model, where the authors used 14064 SSCBD data at surfacical horizons from WoSIS Soil Profile Database to generate and visualize the global distribution of the MLD model parameters (Sf, p, λdry and λsat).
DOI: 10.15468/dl.gektrc
title: Occurrence Download

description: A dataset containing 4866 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Murdannia keisak (Hassk.) Hand.-Mazz."
 ]
}

 The dataset includes 4866 records from 211 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007386-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/vf8yhfjwy5.1
title: Diffusion of potentially toxic elements from treated wood in soil

description: The planar source diffusion method was used to evaluate the leaching of As, Cu, and Cr ions from CCA-treated wood into soils. Treated pine and eucalyptus wood was investigated in clayey and sandy soils, whose diffusion coefficients of the order of 10−12 m2 s−1 were higher for Cr(VI), followed by As(V) and Cu(II) for both soils. In addition, a pilot experiment in plastic pots simulated multidirectional diffusion in the soil by CCA from wood. The mobility was higher for Cu(II), followed by Cr(III/VI) and As(V). An important finding was the pronounced leaching of CCA in clayey soils, which emphasizes the role of environmental features in the dynamics and mobility of contaminants. This study stands out for its emphasis on the potential for CCA- treated wood to pollute and the fundamental role of different conditions. The results allow us to warn about the environmental pollution of PTE in soils with CCA-treated wood constructions. Environmental regulations are expected to encourage the industry to make wood treatment more environmentally friendly.
DOI: 10.15468/dl.7pu6qr
title: Occurrence Download

description: A dataset containing 319 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pseudopleuronectes yokohamae (Günther, 1877)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 319 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007387-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gdecuk
title: Occurrence Download

description: A dataset containing 70 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pleuronectes yokohamae Günther, 1877",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 70 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007389-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uxwbeh
title: Occurrence Download

description: A dataset containing 55643 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Chile",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae",
 "Year 1998-2024"
 ]
}

 The dataset includes 55643 records from 166 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007388-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z23sqp
title: Occurrence Download

description: A dataset containing 645 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Scomber japonicus Houttuyn, 1782",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 645 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007390-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yqwd56
title: Occurrence Download

description: A dataset containing 252564 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Canis latrans Say, 1823, Lycalopex culpaeus (Molina, 1782), Nyctereutes procynoides, Nyctereutes procyonoides (Gray, 1834), Vombatus ursinus (Shaw, 1800))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is one of (Present)",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 "Year is greater than or equal to 1900",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 }
 ]
}

 The dataset includes 252564 records from 175 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007379-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sbf35x
title: Occurrence Download

description: A dataset containing 150 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Asclepias viridiflora Raf.",
 "Geometry POLYGON ((-110.0046 53.60524, -110.1944 53.6994, -110.3939 53.72009, -110.6345 53.85858, -110.937 53.85856, -111.2783 53.759, -111.4921 53.80273, -111.7162 53.79424, -111.7182 53.89368, -111.7881 53.92878, -112.028 53.93921, -112.203 54.05093, -112.258 54.06073, -112.5398 53.99898, -112.7881 54.06553, -112.8548 54.02931, -112.8548 53.95782, -113.049 53.87199, -113.3159 53.63662, -113.5614 53.50897, -113.6136 53.4916, -113.6392 53.44169, -113.655 53.38152, -113.9769 53.34162, -114.2559 53.37179, -114.293 53.39591, -114.2777 53.42577, -114.3358 53.43492, -114.3698 53.42719, -114.4398 53.35168, -114.5738 53.31588, -114.7942 53.32352, -114.8967 53.25145, -114.9941 53.11631, -115.888 52.6375, -118.5667 52.17635, -114.8778 50.27669, -114.7478 49.52898, -114.0634 48.99769, -110.005 48.99959, -110.0046 53.60524))"
 ]
}

 The dataset includes 150 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007391-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7mvv4f
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Scomber colias Gmelin, 1789",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007392-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8uvg9u
title: Occurrence Download

description: A dataset containing 741719 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Israel, Palestine, State of)",
 "DatasetKey is EOD – eBird Observation Dataset",
 "Month is one of (January, February, March, April, May, July, August, September, October, November, December)",
 "Year 2021-2021"
 ]
}

 The dataset includes 741719 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007349-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kt5p2z
title: Occurrence Download

description: A dataset containing 3267 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Serranus atricauda Günther, 1874"
 ]
}

 The dataset includes 3267 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007393-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zrmsa2
title: Occurrence Download

description: A dataset containing 469691 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Bromus hordeaceus L.)"
 ]
}

 The dataset includes 469691 records from 3024 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007376-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7dejnd
title: Occurrence Download

description: A dataset containing 1216 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dalbergia melanoxylon Guill. & Perr.",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1216 records from 70 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069431-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-131421
title: Annual Holy Convocation of the Church of God in Christ (97th: 2004)

description: [description english/roman)] The souvenir journal of the Holy Convocation of the Church of God in Christ. Annually.
DOI: 10.15468/dl.42u2nm
title: Occurrence Download

description: A dataset containing 5618 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation)",
 "Continent is North America",
 "CoordinateUncertaintyInMeters 0.0-1000.0",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Pyrus calleryana Decne."
 ]
}

 The dataset includes 5618 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016039-230828120925497/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-131345
title: Annual Holy Convocation of the Church of God in Christ (97th: 2004)

description: [description english/roman)] The souvenir journal of the Holy Convocation of the Church of God in Christ. Annually.
DOI: 10.15468/dl.k2v4ej
title: Occurrence Download

description: A dataset containing 4981658 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 4981658 records from 1267 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013459-230828120925497/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g6cr5j
title: Occurrence Download

description: A dataset containing 138 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cottiusculus nihonkaiensis Kai & Nakabo, 2009"
 ]
}

 The dataset includes 138 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069432-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-131033
title: Annual Holy Convocation of the Church of God in Christ (97th: 2004)

description: [description english/roman)] The souvenir journal of the Holy Convocation of the Church of God in Christ. Annually.
DOI: 10.15468/dl.bmzcu8
title: Occurrence Download

description: A dataset containing 14816 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Argentina",
 "Geometry POLYGON((-76.09287 -58.08081,-46.27531 -58.08081,-46.27531 -17.24417,-76.09287 -17.24417,-76.09287 -58.08081))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Vultur gryphus Linnaeus, 1758"
 ]
}

 The dataset includes 14816 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069460-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ygy23r
title: Occurrence Download

description: A dataset containing 262 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Registros de presencia de Cóndor andino en áreas naturales protegidas del SINANPE, Perú"
 ]
}

 The dataset includes 262 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013474-230828120925497/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6073/pasta/3488486071a5db188110f96d87535c79
title: National Phenology Network tree phenology at Crosby Farm Adaptive Silviculture for Climate Change study

description: Phenology is the study of relations between climate and periodic biological phenomena, such as bud break or leaf drop in deciduous trees. Phenology is a leading indicator of climate change, and the response of urban tree species to climate can help inform how to manage for a more resilient, and adaptive urban tree canopy. This dataset contains tree phenology data from the The Mississippi National River and Recreation Area (MNRRA) Urban Affiliate Adaptive Silviculture for Climate Change (ASCC) project located at Crosby Farm Regional Park. This dataset includes Individual Phenometrics, Site Phenomentrics, Status and Intensity, and Magnitude Phenometrics. This data was collected through mobile app submissions to Nature's Notebook and downloaded from the National Phenology Network Observation Portal, filtered by date range 01/01/2021 to 02/26/2024 and for Crosby Farm ASCC. 
 Data Attribution:
 USA National Phenology Network. 2024. Plant and Animal Phenology Data. Data type: Status & Intensity, Individual Phenometrics, Site Phenometrics, Magnitude Phenometricts. 01/01/2021-02/26/2024 for Region: 45.221627°, -92.554965° (UR); 44.599185°, -93.5712° (LL). USA-NPN, St. Paul, Minnesota, USA. Data set accessed 03/19/2024 at http://doi.org/10.5066/F78S4N1
DOI: 10.25549/pcra-c14-131353
title: Annual Holy Convocation of the Church of God in Christ (97th: 2004)

description: [description english/roman)] The souvenir journal of the Holy Convocation of the Church of God in Christ. Annually.
DOI: 10.15468/dl.99nep7
title: Occurrence Download

description: A dataset containing 112 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "TaxonKey is Dynastor darius (Fabricius, 1775)"
 ]
}

 The dataset includes 112 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009251-240425142415019/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.