cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.2d7ury
title: Occurrence Download

description: A dataset containing 263 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (iNaturalist Research-grade Observations, Marie-Victorin Herbarium (MT) - Plantes vasculaires, North Carolina State University Vascular Plant Herbarium, Field Museum of Natural History (Botany) Seed Plant Collection, University of North Carolina at Chapel Hill Herbarium: Vascular Plants, East Tennessee State University, John C. Warden Herbarium, West Virginia University Herbarium, Carnegie Museum of Natural History Herbarium, Old Dominion University Herbarium, Mississippi Museum of Natural Science Herbarium)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Solidago curtisii Torr. & A.Gray"
 ]
}

 The dataset includes 263 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019665-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2wu7tf
title: Occurrence Download

description: A dataset containing 11577 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Asplenium trichomanes subsp. trichomanes"
 ]
}

 The dataset includes 11577 records from 388 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019663-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/wb3s-h174
title: Watermelon appearance and knock correlate data sets with sugar content

description: We are pleased to introduce the Qilin Watermelon Dataset, a unique collection of data aimed at investigating the relationship between a watermelon's appearance, tapping sound, and sweetness. This dataset is the result of our dedicated efforts to capture and record various aspects of Qilin watermelons, a special variety known for its exceptional taste and quality.Our dataset consists of two primary components: wav files and jpg files. The wav files contain audio recordings of the tapping sounds produced when striking the watermelons with varying degrees of force. These recordings capture the acoustic properties of the watermelons, which may provide insights into their internal structure and ripeness. Alongside the audio files, we have also included jpg files that showcase the external appearance of each watermelon. These images encompass various visual characteristics, such as color, texture, and shape, which may contribute to the overall assessment of the watermelon's quality.To ensure the accuracy and reliability of our dataset, we employed a rigorous data collection process. We used a sugar meter to measure the sweetness of each watermelon, providing a quantitative value that can be correlated with the tapping sounds and visual appearance. By recording the sweetness levels, we aim to establish a comprehensive understanding of how these factors interplay and potentially influence the watermelon's taste.麒麟西瓜数据集的主要目的是促进对西瓜外部因素与其内部品质之间关系的研究和分析。通过探索外观、敲击声和甜味之间的联系，我们希望发现有价值的见解，有助于对西瓜质量进行无损评估。该数据集有可能为农业、食品科学和机器学习等各个领域做出贡献，在这些领域中，用于水果质量评估的预测模型的开发引起了极大的兴趣。我们相信，麒麟西瓜数据集将成为研究人员、数据科学家和有兴趣探索西瓜品质评估复杂性的爱好者的宝贵资源。通过提供全面的音频、视频和甜味数据集合，我们旨在促进这一令人兴奋的研究领域的创新和合作。
DOI: 10.6084/m9.figshare.26235362
title: Raw Data used for the manuscript "Observation of the topological aberrations of twisted light"

description: Folder containing the raw off-axis holograms acquired in the experiment for constellations of orders 1,2 and 3 for both S and P polarizations, and other supporting data. Each file contains a sequence of 10 images for each angle of incidence, scanning through the all angles of incidence used in the experiment. A ReadMe file is contained, with a detailed description of each file.
DOI: 10.6084/m9.figshare.26235362.v1
title: Raw Data

description: Folder containing the raw off-axis holograms acquired in the experiment for constellations of orders 1,2 and 3 for both S and P polarizations, and other supporting data. Each file contains a sequence of 10 images for each angle of incidence, scanning through the all angles of incidence used in the experiment. A ReadMe file is contained, with a detailed description of each file.
DOI: 10.5281/zenodo.12707557
title: Supplementary Material 1 - Support material in relation to bibliometric research on the analysis of studies with marine litter on Atlantic beaches.
DOI: 10.5281/zenodo.12707558
title: Supplementary Material 1 - Support material in relation to bibliometric research on the analysis of studies with marine litter on Atlantic beaches.
DOI: 10.15468/dl.y8s6su
title: Occurrence Download

description: A dataset listing the 20 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-180 -47,180 -47,180 0,-180 0,-180 -47))",
 "TaxonKey is Hapigia Guenée, 1852"
 ]
}

 The dataset's 20 records were derived from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019666-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.295egx
title: Occurrence Download

description: A dataset containing 79097 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Canis latrans Say, 1823"
 ]
}

 The dataset includes 79097 records from 218 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019667-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w7uvee
title: Occurrence Download

description: A dataset containing 1489 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bertholletia excelsa Bonpl."
 ]
}

 The dataset includes 1489 records from 138 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019669-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.20348/storedb/1194/1286
title: RadoNorm Subtask 6.1.3 - Understanding Radon Management in French Homes: Barriers and Facilitators from Two Regions - Supplementary materials
title: Supplementary materials

description: Supplementary materials of application of RadoNorm Subtask 6.1.3 in France.
description: Supplementary materials are inclusive of the questions addressed to each group, the link between the questions and the appropriate theoretical models, the characteristics of the participants and the detailed results.
DOI: 10.5281/zenodo.12707591
title: Quantifying the effects of background concentrations of crude oil pollution on sea ice albedo

description: * After publication, the authors noted the Y-axis for Figure 4 had the incorrect units. Therefore, a new version includes the corrected Y-axis labels from cm2 kg-1 to m2 g-1, and the updated Figure 4 is attached in the repository.

Wavelength-dependent mass absorption coefficient, and albedo data from Redmond Roche and King (2022).

The oil droplets in this study are considered to have a log-normal size distribution that is representative of weathered oil according to experimental measurements by Otremba (2007). The log-normal distribution is centred on a droplet radius size of 0.05 µm and spans a range of 0.05–5 µm, in line with Haule and Freda (2016).

Haule, K. and Freda, W.: The effect of dispersed Petrobaltic oil droplet sizeon photosynthetically active radiation in marine environment, 23, 6506–6516, https://doi.org/ 10.1007/s11356-015-5886-4, 2016.

Otremba, Z.: Oil droplets as light absorbents in seawater, J. Opt. Soc. Am., 15, 8592–8597, https://doi.org/10.1364/OE.15.008592, 2007.
DOI: 10.5281/zenodo.6583628
title: Quantifying the effects of background concentrations of crude oil pollution on sea ice albedo

description: * After publication, the authors noted the Y-axis for Figure 4 had the incorrect units. Therefore, a new version includes the corrected Y-axis labels from cm2 kg-1 to m2 g-1, and the updated Figure 4 is attached in the repository.

Wavelength-dependent mass absorption coefficient, and albedo data from Redmond Roche and King (2022).

The oil droplets in this study are considered to have a log-normal size distribution that is representative of weathered oil according to experimental measurements by Otremba (2007). The log-normal distribution is centred on a droplet radius size of 0.05 µm and spans a range of 0.05–5 µm, in line with Haule and Freda (2016).

Haule, K. and Freda, W.: The effect of dispersed Petrobaltic oil droplet sizeon photosynthetically active radiation in marine environment, 23, 6506–6516, https://doi.org/ 10.1007/s11356-015-5886-4, 2016.

Otremba, Z.: Oil droplets as light absorbents in seawater, J. Opt. Soc. Am., 15, 8592–8597, https://doi.org/10.1364/OE.15.008592, 2007.
DOI: 10.5281/zenodo.6583629
title: Quantifying the effects of background concentrations of crude oil pollution on sea ice albedo

description: Wavelength-dependent mass absorption coefficient, and albedo data from Redmond Roche and King (2022). The oil droplets in this study are considered to have a log-normal size distribution that is representative of weathered oil according to experimental measurements by Otremba (2007). The log-normal distribution is centred on a droplet radius size of 0.05 µm and spans a range of 0.05–5 µm, in line with Haule and Freda (2016). Haule, K. and Freda, W.: The effect of dispersed Petrobaltic oil droplet size<br> on photosynthetically active radiation in marine environment, 23, 6506–6516, https://doi.org/ 10.1007/s11356-015-5886-4, 2016. Otremba, Z.: Oil droplets as light absorbents in seawater, J. Opt. Soc. Am., 15, 8592–8597, https://doi.org/10.1364/OE.15.008592, 2007.
DOI: 10.20348/storedb/1194/1287
title: RadoNorm Subtask 6.1.3 - Understanding Radon Management in French Homes: Barriers and Facilitators from Two Regions - Supplementary materials
title: Supplementary materials

description: Supplementary materials of application of RadoNorm Subtask 6.1.3 in France.
description: Supplementary materials are inclusive of the questions addressed to each group, the link between the questions and the appropriate theoretical models, the characteristics of the participants and the detailed results.
DOI: 10.5066/p9yqlhhb
title: Imagery, sediment collection, photogrammetry, and meteorological data from April 2023 to July 2023, Grand Falls Dune Field, Arizona

description: Grand Falls dune field (GFDF) is located on the Navajo Nation, ~70 km NE of Flagstaff, AZ. This active dune field displays a range of morphologies, including barchans, smaller dunes, and ripples, and is bimodal in composition. The felsic component is likely derived from the Little Colorado River, and the mafic component (basaltic grains) is locally sourced from nearby cinder cones [1]. GFDF is an excellent analog site for both active dunes on Mars and other planetary bodies that have dune-like features (e.g., Venus and Titan). At this active site we have deployed a meteorological station (recording temperature, barometric pressure, relative humidity, wind direction, wind speed, solar radiation, and precipitation every 15 minutes during the windy season and every hour during the calmer months), three sets of five Big Spring Number Eight (BSNE) and two sets of six Modified Wilson and Cook (MWAC) passive sediment samplers, and three BlazeVideo cameras. Cameras were set up around an active ripple site, taking images every ten minutes to record sand movement close to the surface. Every visit to the field site we imaged active ripples using a NIKON D250 camera. These images were processed using the software Agisoft Metashope Professional to create digital elevation models of the ripple field. Passive sediment samplers were collected every ~2 weeks during the windy season to study saltation and quantify sediment flux. Data presented here span from April 2023 to July 2023. [1] Hayward, R. K. et al. (2010) 2nd Int. Plan. Dunes Wrkshp., Abstract #2004.

Fieldwork on the Navajo Nation was conducted under a permit from the Navajo Nation Minerals Department. Any persons wishing to conduct geologic investigations on the Navajo Nation must first apply for and receive a permit from the Navajo Nation Minerals Department, P.O. Box 1910, Window Rock, Arizona 86515, and telephone # (928) 871-6587.
DOI: 10.15468/dl.nbfxnz
title: Occurrence Download

description: A dataset containing 266609 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pistacia lentiscus L."
 ]
}

 The dataset includes 266609 records from 459 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019668-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7wgxn5
title: Occurrence Download

description: A dataset containing 1305 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Calidris canutus (Linnaeus, 1758)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Country is Chile",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 1305 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065522-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qk4vaw
title: Occurrence Download

description: A dataset containing 143142 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Iran (Islamic Republic of)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 143142 records from 275 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068015-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fy64u6
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oligoryzomys stramineus Bonvicino & Weksler, 1998"
 ]
}

 The dataset includes 35 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014573-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rvmg2e
title: Occurrence Download

description: A dataset containing 75200175 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations"
 ]
}

 The dataset includes 75200175 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016385-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2htzx4
title: Occurrence Download

description: A dataset containing 202 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mezoneuron benthamianum Baill.",
 "Geometry POLYGON((-15.468749 22.755920,-15.468749 4.214943,20.214843 4.214943,20.214843 22.755920,-15.468749 22.755920))"
 ]
}

 The dataset includes 202 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068019-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ah4b56
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Triatoma gerstaeckeri (Stål, 1859)"
 ]
}

 The dataset includes 26 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014576-151016162008034/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.55njjm
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Masdevallia rex Luer & Hirtz"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0173942-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h54smx
title: Occurrence Download

description: A dataset containing 265 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "TaxonKey is Lobesia botrana (Denis & Schiffermüller), 1775"
 ]
}

 The dataset includes 265 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016379-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nc4ldt
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Encyclia saltensis Hoehne"
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068029-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sls864
title: Occurrence Download

description: A dataset containing 223 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ilex guayusa Loes."
 ]
}

 The dataset includes 223 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014578-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xth3ve
title: Occurrence Download

description: A dataset containing 43 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bokermannohyla ibitiguara (Cardoso, 1983)"
 ]
}

 The dataset includes 43 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021003-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7dhpnj
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "MediaType is Image",
 "Geometry POLYGON((477.81738 8.05923,467.88574 2.1089,469.99512 -3.95194,476.74072 -4.43404,479.37744 0.96675,480.10254 6.5773,477.81738 8.05923))",
 "HasCoordinate is true",
 "TaxonKey is Phrynoidis juxtaspera (Inger, 1964)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 14 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014579-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10957160
title: Splam: a deep-learning-based splice site predictor that improves spliced alignments

description: The process of splicing messenger RNA to remove introns plays a central role in creating genes and gene variants. Here we describe Splam, a novel method for predicting splice junctions in DNA based on deep residual convolutional neural networks. Unlike some previous models, Splam looks at a relatively limited window of 400 base pairs flanking each splice site, motivated by the observation that the biological process of splicing relies primarily on signals within this window. Additionally, Splam introduces the idea of training the network on donor and acceptor pairs together, based on the principle that the splicing machinery recognizes both ends of each intron at once. We compare Splam’s accuracy to recent state-of-the-art splice site prediction methods, particularly SpliceAI, another method that uses deep neural networks. Our results show that Splam is consistently more accurate than SpliceAI, with an overall accuracy of 96% at predicting human splice junctions. Splam generalizes even to non-human species, including distant ones like the flowering plant Arabidopsis thaliana. Finally, we demonstrate the use of Splam on a novel application: processing the spliced alignments of RNA-seq data to identify and eliminate errors. We show that when used in this manner, Splam yields substantial improvements in the accuracy of downstream transcriptome analysis of both poly(A) and ribo-depleted RNA-seq libraries. Overall, Splam offers a faster and more accurate approach to detecting splice junctions, while also providing a reliable and efficient solution for cleaning up erroneous spliced alignments.
DOI: 10.5281/zenodo.10957161
title: Splam: a deep-learning-based splice site predictor that improves spliced alignments

description: The process of splicing messenger RNA to remove introns plays a central role in creating genes and gene variants. Here we describe Splam, a novel method for predicting splice junctions in DNA based on deep residual convolutional neural networks. Unlike some previous models, Splam looks at a relatively limited window of 400 base pairs flanking each splice site, motivated by the observation that the biological process of splicing relies primarily on signals within this window. Additionally, Splam introduces the idea of training the network on donor and acceptor pairs together, based on the principle that the splicing machinery recognizes both ends of each intron at once. We compare Splam’s accuracy to recent state-of-the-art splice site prediction methods, particularly SpliceAI, another method that uses deep neural networks. Our results show that Splam is consistently more accurate than SpliceAI, with an overall accuracy of 96% at predicting human splice junctions. Splam generalizes even to non-human species, including distant ones like the flowering plant Arabidopsis thaliana. Finally, we demonstrate the use of Splam on a novel application: processing the spliced alignments of RNA-seq data to identify and eliminate errors. We show that when used in this manner, Splam yields substantial improvements in the accuracy of downstream transcriptome analysis of both poly(A) and ribo-depleted RNA-seq libraries. Overall, Splam offers a faster and more accurate approach to detecting splice junctions, while also providing a reliable and efficient solution for cleaning up erroneous spliced alignments.
DOI: 10.15468/dl.ixpqnm
title: Occurrence Download

description: A dataset containing 43274 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Kazakhstan",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 43274 records from 173 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068026-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.