cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.p2w3a7
title: Occurrence Download

description: A dataset containing 114995 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-113.26815 31.29019,-112.788 31.23649,-112.2296 30.77497,-112.28942 30.25956,-111.65125 29.86257,-111.10734 30.17183,-110.98768 30.89329,-111.56603 30.85905,-112.56319 31.42234,-112.90634 31.90846,-114.80991 32.49801,-114.91748 32.49283,-114.95757 32.44527,-114.97115 32.35354,-115.02208 32.3019,-115.04924 32.22726,-115.19862 32.18704,-115.19862 32.07491,-114.68936 31.76946,-114.57037 31.76752,-114.43587 31.65734,-114.18181 31.50881,-114.04862 31.50117,-114.00011 31.5563,-113.96508 31.66186,-113.76047 31.55485,-113.66927 31.51917,-113.6304 31.47583,-113.63051 31.42086,-113.60966 31.37877,-113.61424 31.33926,-113.6063 31.32611,-113.59383 31.32611,-113.5641 31.32037,-113.54636 31.31259,-113.54876 31.29866,-113.53207 31.29597,-113.48816 31.2912,-113.44734 31.31142,-113.40299 31.27503,-113.30896 31.25987,-113.26815 31.29019))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 114995 records from 392 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007168-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xev8vq
title: Occurrence Download

description: A dataset containing 81 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Stelis atra Lindl."
 ]
}

 The dataset includes 81 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007230-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qcvtcn
title: Occurrence Download

description: A dataset containing 63392 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Strix virgata (Cassin, 1849)"
 ]
}

 The dataset includes 63392 records from 190 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007224-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vt4guu
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Stelis batillacea (Luer) Pridgeon & M.W.Chase"
 ]
}

 The dataset includes 8 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007232-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f23s64
title: Occurrence Download

description: A dataset containing 9014 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Anacardium occidentale L."
 ]
}

 The dataset includes 9014 records from 380 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007175-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.8383203
title: Signature Informed Sampling for Transcriptomic Data

description: This repository contains the data and associated results of all experiments conducted in our work "Signature Informed Sampling for Transcriptomic Data". In this work we propose a simple, novel, non-parametric method for augmenting data inspired by the concept of chromosomal crossover. We benchmark our proposed methods against random oversampling, SMOTE, modified versions of gamma-Poisson and Poisson sapling, and the unbalanced data.  
The compressed file data_5x5stratified.zip contains all the data used for our experiments. This includes the original count data based off of which augmentation was performed, the cross validation split indices as a json file, the training and validation data (TCGA) augmented by the various augmentation methods mentioned in our study, a test set (containing only real samples from TCGA) and an external test set (CPTAC) standardised accordingly with respect to each augmentation method and training data per cv split. The compressed file 5x5_Results.zip contains all the results from all the experiments. This includes the parameter files used to train the various models, the metrics computed, the latent space of train, validation and test (if the model is a VAE), and the trained model itself for all 25 (5x5) splits.
DOI: 10.15468/dl.q42fuy
title: Occurrence Download

description: A dataset listing the 6 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Asparagopsis armata Harv."
 ]
}

 The dataset's 6 records were derived from 168 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007227-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ru9xf9
title: Occurrence Download

description: A dataset containing 673593 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Danaus plexippus (Linnaeus, 1758)"
 ]
}

 The dataset includes 673593 records from 361 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007171-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hyfuru
title: Occurrence Download

description: A dataset containing 105 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen, Living Specimen, Occurrence evidence, Observation, Machine Observation)",
 "Country is Colombia",
 "OccurrenceStatus is Present",
 "TaxonKey is Anolis huilae Williams, 1982"
 ]
}

 The dataset includes 105 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007234-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mkbjeg
title: Occurrence Download

description: A dataset containing 1075 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Camponotus nicobarensis Mayr, 1865"
 ]
}

 The dataset includes 1075 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007235-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nhvs9g
title: Occurrence Download

description: A dataset containing 5862 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is United States of America",
 "Geometry POLYGON((-98.00267 27.02198,-73.66916 27.06365,-73.79416 40.73042,-102.71104 41.02209,-98.00267 27.02198))",
 "License is one of (CC-BY-NC 4.0, CC-BY 4.0)",
 "OccurrenceStatus is Present",
 "TaxonKey is Pinus taeda L."
 ]
}

 The dataset includes 5862 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007236-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21963/13080
title: Understanding and Predicting Mercury in Dehcho Lakes, Northwest Territories

description: Samples/data collected by joint University-community monitor team during on the land camps in 2018-2024. Data Collection: a. Fish (15-20 individuals/species, up to 4 food fish species/lake: captured with gill nets and dissected); Mercury concentration in fish flesh, stable isotopes of carbon and nitrogen in fish flesh, fish age. b. Benthic Invertebrates and sediments (min. 3 samples/taxa at 5 sites/lake); Profundal and littoral invertebrates collected with Ekman dredges and kick nets; Samples coarsely sorted in the field to Order, divided in half, and: i) preserved in ethanol for taxonomic identification; ii) frozen for stable isotope and total and methyl Hg analysis; Sediments collected with an Ekman dredge, frozen for analysis of Hg and MeHg. c. Zooplankton (min. 3 sample/size fraction at 3 sites/lake); Collected with vertical tows, size-fractioned in the field; Half of each size fraction preserved in ethanol for community composition analysis, other half frozen for stable isotope and total and methyl Hg analysis. d. Water (min. 3 sites/lake – top and bottom); Filtered and unfiltered water samples collected from each lake, and from influent streams and wetlands. Ultra-trace sampling methods used for mercury. e. Abiotic; Catchment size and slope, lake area and volume, % wetlands and hydrology in catchment, underlying geology determined using GIS. Laboratory Analysis: Standard water chemistry: University of Alberta (ions, nutrients, chlorophyll-a); Total and methyl mercury analyses: Western University (ISO-accredited); Stable isotope ratios of carbon and nitrogen: University of Waterloo; Fish age: AAE Tech (Manitoba).
description: In this project, we are aiming to understand how landscape, lake, and fish ecology explain variation in fish mercury (Hg levels). Our results are identifying critical variables for future cumulative impact monitoring, and will enable more informed predictions of how fish Hg levels in the Dehcho region will respond to continued environmental change. Decision-makers will use our results to develop long-term monitoring strategies, identify lakes that are most vulnerable to future increases in fish Hg levels, refine consumption advisories, and identify lakes with the safest and healthiest sources of food fish. This data set is collected to support several projects supported by Northern Contaminants Program, CIMP 154 (GNWT), and the project titled “Northern Water Futures, Objective 2". Northern Water Futures is a Pillar 3 project under the Global Water Futures Program funded by Canada First Research Excellence Fund
DOI: 10.15468/dl.68csce
title: Occurrence Download

description: A dataset containing 81302 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is 2015_PHD_VERHELST_EEL - Acoustic telemetry data for European eel (Anguilla anguilla) in the Scheldt estuary and southern North Sea (Belgium)"
 ]
}

 The dataset includes 81302 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007233-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3wq7d6
title: Occurrence Download

description: A dataset containing 3754 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Salvelinus namaycush (Walbaum, 1792))",
 "Geometry POLYGON((-9.36035 44.71551,-10.59082 42.81152,-11.82129 36.80928,-7.69043 36.17336,-3.38379 35.88905,3.12012 38.13456,9.18457 38.20366,11.7334 37.16032,12.78809 34.74161,17.09473 33.79741, 23.15918 34.23451,30.10254 32.62087,33.2666 32.99024,35.72754 35.03,33.00293 35.53223,28.69629 35.17381,28.34473 36.31513,25.7959 37.50973,24.91699 39.90974,28.78418 40.6473,30.71777 41.17865,36.87012 45.213,38.18848 46.98025,38.71582 47.7541,39.94629 47.93107,40.20996 49.61071,37.0459 50.34546,35.72754 50.40152,33.79395 52.26816,31.68457 51.94426,31.4209 53.27835,32.56348 53.43572,30.98145 54.77535,30.89355 55.52863,28.43262 56.02295,27.20215 57.65716,27.37793 58.30949,27.90527 59.17593,29.66309 59.88894,27.6416 60.58697,31.50879 62.75473,28.78418 69.83962,30.89355 70.28912,29.22363 71.55274,21.75293 71.30079,14.28223 70.14036,11.38184 67.47492,4.87793 63.66576,-5.53711 71.52491,-10.63477 71.69129,-21.5332 67.74276,-28.56445 65.36684,-24.3457 61.35461,-9.36035 44.71551))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2021"
 ]
}

 The dataset includes 3754 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0163575-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-1118
title: Maiak = [Lighthouse], vol. 13, no. 5 (1935)

description: [description english/roman)] Monthly
DOI: 10.15468/dl.bxbxrw
title: Occurrence Download

description: A dataset containing 475240 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON((-98.78 15.39, -96.11 15.39, -96.11 16.53, -98.78 16.53, -98.78 15.39))"
 ]
}

 The dataset includes 475240 records from 605 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013416-230828120925497/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.24185637
title: Data and R codes

description: Data for the manuscript: Double trouble? Behaviour and health of pumpkinseed sunfish influence and are influenced by parasitic co-infectionDetailed information about the archived files is included in the "readme.txt" file.Abstract: Parasitism is increasingly seen as an ecological factor contributing to behavioural variation among individuals. Yet, the causal direction of the relationship between animal personality and parasites remains unclear. We measured behavioural traits (i.e. exploration, activity, boldness) in pumpkinseed sunfish (<i>Lepomis gibbosus</i>) before and after an experimental infection using cages in a lake where sunfish were naturally exposed to cestode and trematode infection for one month. Despite our initial assumptions (i.e. that all individuals have the same risk of infection within a cage), we found that initial behavioural traits strongly influenced infection susceptibility: initially bolder and less active fish acquired a higher density of trematode and cestode parasite during the infection period. Following infection, fish body condition decreased with increasing cestode density, suggesting that infection is costly to hosts. Body condition was positively correlated with distance moved, a measure of activity, regardless of individual infection status. The repeatability of exploration and activity behaviour and the strength of the activity-exploration correlation (i.e. behavioural syndrome) were reduced after experimental infection. Distance moved and trematode density were negatively correlated, suggesting that this infection decreases host activity levels. Since trematodes have a complex life cycle with piscivorous birds as a final host, a decrease in activity following infection may make infected fish more susceptible to bird predation, benefiting the parasite. Our results highlight the close links between behaviour and parasitism. We propose that two mechanisms may simultaneously operate: initial host behaviour influences their risk of infection, and infection can create variation in the behavioural traits of infected hosts.
DOI: 10.15468/dl.4szm5u
title: Occurrence Download

description: A dataset containing 481 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Salvelinus umbla (Linnaeus, 1758), Scardinius hesperidicus Bonaparte, 1845)",
 "Geometry POLYGON((-9.36035 44.71551,-10.59082 42.81152,-11.82129 36.80928,-7.69043 36.17336,-3.38379 35.88905,3.12012 38.13456,9.18457 38.20366,11.7334 37.16032,12.78809 34.74161,17.09473 33.79741, 23.15918 34.23451,30.10254 32.62087,33.2666 32.99024,35.72754 35.03,33.00293 35.53223,28.69629 35.17381,28.34473 36.31513,25.7959 37.50973,24.91699 39.90974,28.78418 40.6473,30.71777 41.17865,36.87012 45.213,38.18848 46.98025,38.71582 47.7541,39.94629 47.93107,40.20996 49.61071,37.0459 50.34546,35.72754 50.40152,33.79395 52.26816,31.68457 51.94426,31.4209 53.27835,32.56348 53.43572,30.98145 54.77535,30.89355 55.52863,28.43262 56.02295,27.20215 57.65716,27.37793 58.30949,27.90527 59.17593,29.66309 59.88894,27.6416 60.58697,31.50879 62.75473,28.78418 69.83962,30.89355 70.28912,29.22363 71.55274,21.75293 71.30079,14.28223 70.14036,11.38184 67.47492,4.87793 63.66576,-5.53711 71.52491,-10.63477 71.69129,-21.5332 67.74276,-28.56445 65.36684,-24.3457 61.35461,-9.36035 44.71551))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2021"
 ]
}

 The dataset includes 481 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0163623-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-1214
title: Maiak = [Lighthouse], vol. 13, no. 11-12 (1935)

description: [description english/roman)] Monthly
DOI: 10.15468/dl.gy7mke
title: Occurrence Download

description: A dataset containing 6168 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Rubus polyanthemus Lindeb."
 ]
}

 The dataset includes 6168 records from 99 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013412-230828120925497/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5c9vvf
title: Occurrence Download

description: A dataset containing 89034 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Sterna dougallii Montagu, 1813",
 "TaxonKey is Sterna dougallii bangsi Mathews, 1912",
 "TaxonKey is Sterna dougallii dougallii",
 "TaxonKey is Sterna dougallii arideensis Mathews, 1912",
 "TaxonKey is Sterna dougallii korustes (Hume, 1874)",
 "TaxonKey is Sterna dougallii gracilis Gould, 1845"
 ]
 },
 "Year 2000-2022"
 ]
}

 The dataset includes 89034 records from 104 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0163632-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-1255
title: Maiak = [Lighthouse], vol. 14, no. 3 (1936)

description: [description english/roman)] Monthly
DOI: 10.25549/pcra-c14-131441
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.8v6t5e
title: Occurrence Download

description: A dataset containing 251676411 species occurrences available in GBIF matching the query:
{
 "BasisOfRecord" : [
 "is one of (Specimen, Occurrence evidence)"
 ]
}

 The dataset includes 251676411 records from 9030 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015994-230828120925497/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1048595.10fu
title: SH1048595.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1048597.10fu
title: SH1048597.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1048598.10fu
title: SH1048598.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1048602.10fu
title: SH1048602.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.