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

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Puto laticribellum McKenzie, 1961",
 {
 "not" : {
 "DatasetKey" : [
 "is Global database of alien macrofungi"
 ]
 }
 },
 {
 "or" : [
 "Country is Poland",
 "Country is Poland"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0385180-210914110416597/datasets/export for details.
DOI: 10.15468/dl.m4tfk2
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Akermes scrobiculatus (Maskell, 1893)",
 {
 "not" : {
 "DatasetKey" : [
 "is Global database of alien macrofungi"
 ]
 }
 },
 {
 "or" : [
 "Country is United States of America",
 "Country is United States",
 "Country is United States of America",
 "Country is Canada",
 "Continent is North America"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0368894-210914110416597/datasets/export for details.
DOI: 10.15468/dl.q8q4nu
title: Occurrence Download

description: A dataset containing 3894 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aponogeton abyssinicus Hochst. ex A.Rich., Aponogeton afroviolaceus Lye, Aponogeton angustifolius Aiton, Aponogeton appendiculatus H.Bruggen, Aponogeton azureus H.Bruggen, Aponogeton bernierianus (Decne.) Hook.f., Aponogeton bogneri H.Bruggen, Aponogeton boivinianus Baill. ex Jum., Aponogeton bruggenii S.R.Yadav & Govekar, Aponogeton bullosus H.Bruggen, Aponogeton capuronii H.Bruggen, Aponogeton cordatus Jum., Aponogeton crispus Thunb., Aponogeton cuneatus S.W.L.Jacobs, Aponogeton dassanayakei Manaw. & Yakand., Aponogeton decaryi Jum. ex Humbert, Aponogeton desertorum Zeyh. ex Spreng., Aponogeton dioecus Bosser, Aponogeton distachyos L.f., Aponogeton eggersii Bogner & H.Bruggen, Aponogeton elongatus F.Muell. ex Benth., Aponogeton euryspermus Hellq. & S.W.L.Jacobs, Aponogeton fotianus J.Raynal, Aponogeton fugax J.C.Manning & Goldblatt, Aponogeton gottlebei Kasselm. & Bogner, Aponogeton hexatepalus H.Bruggen, Aponogeton jacobsenii de Wit, Aponogeton junceus Lehm., Aponogeton kannangarae M.A.Silva, Deshaprema & Manamperi, Aponogeton kimberleyensis Hellq. & S.W.L.Jacobs, Aponogeton lakhonensis A.Camus, Aponogeton lancesmithii Hellq. & S.W.L.Jacobs, Aponogeton longiplumulosus H.Bruggen, Aponogeton loriae Martelli, Aponogeton madagascariensis (Mirb.) H.Bruggen, Aponogeton masoalaensis Bogner, Aponogeton natalensis Oliv., Aponogeton natans (L.) Engl. & K.Krause, Aponogeton nateshii S.R.Yadav, Aponogeton nudiflorus Peter, Aponogeton prolifer Hellq. & S.W.L.Jacobs, Aponogeton queenslandicus H.Bruggen, Aponogeton ranunculiflorus Jacot Guill. & Marais, Aponogeton rehmannii Oliv., Aponogeton rigidifolius H.Bruggen, Aponogeton robinsonii A.Camus, Aponogeton satarensis Sundararagh., A.R.Kulk. & S.R.Yadav, Aponogeton schatzianus Bogner & H.Bruggen, Aponogeton stuhlmannii Engl., Aponogeton subconjugatus Schumach. & Thonn., Aponogeton tenuispicatus H.Bruggen, Aponogeton tofus S.W.L.Jacobs, Aponogeton troupinii J.Raynal, Aponogeton ulvaceus Baker, Aponogeton undulatus Roxb., Aponogeton vallisnerioides Baker, Aponogeton vanbruggenii Hellq. & S.W.L.Jacobs, Aponogeton viridis Jum., Aponogeton wolfgangianus S.R.Yadav, Aponogeton womersleyi H.Bruggen)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3894 records from 130 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007635-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vceu8v
title: Occurrence Download

description: A dataset containing 7907 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Entoloma rhodopolium (Fr.) P.Kumm.)",
 "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 7907 records from 129 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0239978-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xefpx8
title: Occurrence Download

description: A dataset containing 7225 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-45.66742 -19.23336,-44.77753 -19.23336,-44.77753 -18.68268,-45.66742 -18.68268,-45.66742 -19.23336))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 7225 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034926-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xies2q
title: Occurrence Download

description: A dataset containing 3418 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Andropogon leucostachyus Kunth"
 ]
}

 The dataset includes 3418 records from 138 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005943-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mk5uu6
title: Occurrence Download

description: A dataset containing 125 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ethiopia",
 "OccurrenceStatus is Present",
 "TaxonKey is Chlorocebus pygerythrus (F.Cuvier, 1821)"
 ]
}

 The dataset includes 125 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071988-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.94nxdy
title: Occurrence Download

description: A dataset containing 13325 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Herbier du Bénin"
 ]
}

 The dataset includes 13325 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034930-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wx4a68
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((20.647240629908573 -72.55844867899678,24.647240629908573 -72.55844867899678,24.647240629908573 -68.55844867899678,20.647240629908573 -68.55844867899678,20.647240629908573 -72.55844867899678))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Bugula neritina (Linnaeus, 1758)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0113922-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nywwsy
title: Occurrence Download

description: A dataset containing 40529 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rana dalmatina Fitzinger, 1838"
 ]
}

 The dataset includes 40529 records from 418 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072025-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9rxt58
title: Occurrence Download

description: A dataset containing 2833 species occurrences available in GBIF matching the query:
{
 "or" : [
 "TaxonKey is Vanilla costaricensis Soto Arenas",
 "TaxonKey is Vanilla guianensis Splitg.",
 "TaxonKey is Vanilla inodora Schiede",
 "TaxonKey is Vanilla martinezii Soto Arenas",
 "TaxonKey is Vanilla methonica Rchb.f. & Warsz.",
 "TaxonKey is Vanilla mexicana Mill.",
 "TaxonKey is Vanilla oroana Dodson",
 "TaxonKey is Vanilla ovata Rolfe",
 "TaxonKey is Vanilla angustifolia Willd.",
 "TaxonKey is Vanilla parvifolia Barb.Rodr.",
 "TaxonKey is Vanilla verrucosa Hauman",
 "TaxonKey is Vanilla bertoniensis Bertoni",
 "TaxonKey is Vanilla bradei Schltr. ex Mansf.",
 "TaxonKey is Vanilla edwallii Hoehne",
 "TaxonKey is Vanilla organensis Rolfe",
 "TaxonKey is Vanilla bicolor Lindl.",
 "TaxonKey is Vanilla palmarum (Salzm. ex Lindl.) Lindl.",
 "TaxonKey is Vanilla savannarum Britton",
 "TaxonKey is Vanilla espondae Soto Arenas",
 "TaxonKey is Vanilla hartii Rolfe",
 "TaxonKey is Vanilla sprucei Rolfe",
 "TaxonKey is Vanilla trigonocarpa Hoehne",
 "TaxonKey is Vanilla appendiculata Rolfe",
 "TaxonKey is Vanilla bahiana Hoehne",
 "TaxonKey is Vanilla cristagalli Hoehne",
 "TaxonKey is Vanilla denticulata Pabst",
 "TaxonKey is Vanilla dubia Hoehne",
 "TaxonKey is Vanilla dungsii Pabst",
 "TaxonKey is Vanilla fimbriata Rolfe",
 "TaxonKey is Vanilla helleri A.D.Hawkes",
 "TaxonKey is Vanilla insignis Ames",
 "TaxonKey is Vanilla odorata C.Presl",
 "TaxonKey is Vanilla phaeantha Rchb.f.",
 "TaxonKey is Vanilla ribeiroi Hoehne",
 "TaxonKey is Vanilla schwackeana Hoehne",
 "TaxonKey is Vanilla ×tahitensis J.W.Moore",
 "TaxonKey is Vanilla uncinata Huber ex Hoehne",
 "TaxonKey is Vanilla penicillata Garay & Dunst.",
 "TaxonKey is Vanilla cribbiana Soto Arenas",
 "TaxonKey is Vanilla dressleri Soto Arenas",
 "TaxonKey is Vanilla gardneri Rolfe",
 "TaxonKey is Vanilla hostmannii Rolfe",
 "TaxonKey is Vanilla calyculata Schltr.",
 "TaxonKey is Vanilla columbiana Rolfe",
 "TaxonKey is Vanilla grandiflora Lindl.",
 "TaxonKey is Vanilla pompona Schiede",
 "TaxonKey is Vanilla vellozoi Rolfe"
 ]
}

 The dataset includes 2833 records from 160 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034930-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9ny4gw
title: Occurrence Download

description: A dataset containing 56 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Specimen"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Helarctos malayanus (Raffles, 1822)"
 ]
}

 The dataset includes 56 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019186-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.1nb25n
title: Occurrence Download

description: A dataset containing 84 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chrysophyllum argenteum subsp. ferrugineum (Ruiz & Pav.) T.D.Penn."
 ]
}

 The dataset includes 84 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008594-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wvx14c
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Populus alba var. alba",
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034941-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5pmpbf
title: Occurrence Download

description: A dataset containing 503239 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lythrum salicaria L."
 ]
}

 The dataset includes 503239 records from 971 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072021-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7uegs6
title: Occurrence Download

description: A dataset containing 21439 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is WCS Cambodia camera trap occurrence data"
 ]
}

 The dataset includes 21439 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059226-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dy43jn
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhabdonemataceae",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 34 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059227-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25946/21316992
title: CKC-R dataset

description: Dataset containing the revised CKC-R item pool along with scales used for verification including: anthropomorphism, cognitive style, absorption, word knowledge, BS sensitivity, gambling fallacies, and general health beliefs.
DOI: 10.25946/21316992.v1
title: CKC-R dataset

description: Dataset containing the revised CKC-R item pool along with scales used for verification including: anthropomorphism, cognitive style, absorption, word knowledge, BS sensitivity, gambling fallacies, and general health beliefs.
DOI: 10.25946/25439377
title: Investigating the relationship between the CKC-R and the effect of metaphor frames in problem solving

description: This project proposes to expand understanding of gambling related cognitive fallacies through their relationship to core knowledge confusions. The core knowledge confusion scale was revised and found to be a valid measure, predictive of paranormal belief. This dataset tests the association of the CKC-R to the influence of metaphors on decision making. The dataset includes responses to a crime vignette across three conditions: crime as a beast, virus, or no directed metaphoric association. The dataset also contains demographic information, and classification tasks checking the responses are aligned with their appropriate metaphor condition in scoring.
DOI: 10.15468/dl.gc95r9
title: Occurrence Download

description: A dataset containing 40971 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Occurrence evidence, Human Observation, Observation, Machine Observation)",
 "TaxonKey is Castanopsis (D.Don) Spach"
 ]
}

 The dataset includes 40971 records from 242 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059225-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p1n6p2ql
title: Data and model code in support of machine learning nitrate modeling study

description: We developed a suite of models using deep learning to make hindcast predictions of the 7-day average backward-looking nitrate concentration at 46 predominantly agricultural sites across the midwestern and eastern United States. The models used daily observations of discharge and meteorological variables and static watershed attributes describing anthropogenic modification to hydrology, nitrogen application, climate, groundwater, land use and land cover, watershed physical attributes, and soils. Across all sites, discharge and watershed soil and physiographic attributes show a particularly strong influence on model performance. An analysis of drivers across sites revealed considerable regional differences related to controlling processes such as groundwater contributions. We tested several ways to pool data across sites to develop accurate models and make the most effective use of available data. Single-site models, in which models are trained and tested at a single location, showed generally strong predictive performance (median Kling-Gupta Efficiency = 0.66), and accuracy at poorly performing sites could be improved by grouping sites with similar characteristics. Developing a single model for all sites reduced performance at several locations with distinct characteristics, suggesting that there is a threshold of dissimilarity beyond which more data does not improve the model. While many deep learning studies have shown that national or even global models can outperform local models, it is not clear that this is true for water quality constituents. This study demonstrates how existing data can be combined effectively, using deep learning to develop accurate and interpretable models of instream nitrate at sites where varying processes are responsible for changes in nitrate concentration. This release provides code and data for running a suite of machine learning model to predict in stream nitrate concentration and using explainable AI to analyze model outputs and compare among modeling approaches.
DOI: 10.5281/zenodo.12634375
title: 1600 years of modelled energy production and demand for European Countries (Norway, France, Italy, Spain, and Sweden)

description: Citation

When using this dataset, please cite the following paper: van der Most et al. Temporally compounding energy droughts in European electricity systems with hydropower, 10 January 2024, PREPRINT (Version 1) available at Research Square [https://doi.org/10.21203/rs.3.rs-3796061/v1].

Description

This dataset contains daily renewable energy production and demand data used in the study "Temporally compounding energy droughts in European electricity systems with hydropower". The dataset includes production data for various renewable energy sources (offshore wind, onshore wind, solar photovoltaics, run-of-river, and hydropower reservoir inflow) and electricity demand. It was generated wit the use of 1600 years of climate model data and a daily renewable electricity production and demand modelling framework. The study focuses on five European countries with significant hydropower capacities: Norway, France, Italy, Spain, and Sweden.

Content





Energy Production Data:



Offshore and Onshore Wind Power: Derived from 10 m wind speed data extrapolated to hub height, using power law equations and cubic power curves.

Solar Photovoltaics (PV): Based on solar irradiance and temperature-dependent cell efficiency calculations.

Hydropower: Includes inflow data for run-of-river and reservoir hydropower systems modelled with routed runoff data

Hydropower dispatch is modelled at the national level using a linear optimization approach that aims to minimize the difference between demand and the sum of all renewable energy production over a year, directing the solution to following the load curves.





Energy Demand Data:



Daily load data from ENTSO-E tranparancy fitted using a logistic smooth transmission regression approach to national mean, population-weighted daily near-surface temperatures from ERA5 reanalysis data.

Demand curves account for weekdays and weekends but exclude cultural and socio-economic factors such as holidays.




Methodology

The dataset is generated using the KNMI Large Ensemble Time Slice (KNMI-LENTIS) dataset, which includes 160 sets of 10-year physical climate model simulations of present-day climate (2000-2009). The simulations are conducted with the EC-Earth3 global climate model. The energy production and demand data are modeled to assess the impact of meteorological drivers on energy systems, with a focus on identifying periods of high residual loads (energy droughts). The model set-up has been validated with the use of ERA5 data in previous work.  

Usage

This dataset is intended for researchers and policymakers interested in studying the impact of climate variability on renewable energy systems. It provides insights into how different meteorological conditions can lead to energy droughts and offers a basis for developing strategies to enhance the resilience of energy systems.
DOI: 10.5281/zenodo.13328432
title: Supplementary Tables for "A 3.3-Million-Year Record of Antarctic Iceberg Rafted Debris and Ice Sheet Evolution Quantified by Machine Learning"

description: Supplementary Tables for "A 3.3-Million-Year Record of Antarctic Iceberg Rafted Debris and Ice Sheet Evolution Quantified by Machine Learning"

 

Table Captions:

Table S1. Site U1537 Age Model Tie Points from Weber et al. (2022) and Reilly et al. (2021)

Table S2. Site U1537 Age Model used in this study, applying both the age tie points from Weber et al. (2022) and Reilly et al. (2021)

Table S3. Hole U1538A correlation to the Dove Basin Stack from Bailey et al. (2022), and the addition of the U1538 splice CCSF-A depth to the Dove Basin CCSF-A

Table S4. Site U1538 splice table used in this study, note the continuation down Hole A after Core 14H

Table S5. New top core section offsets for Site U1536 cores added to the Reilly et al. (2021) extended splice table

Table S6. New top core section offsets for Site U1537 cores added to Reilly et al. (2021) extended splice table

Table S7. Comparison of Convolutional Neural Network IRD counts to shipboard eye counts of IRD at Site U1536

Table S8.  Site U1537 CNN IRD Counts per 50 cm bins

Table S9. Site U1536 IRD Fluxes Per 5 kyr Quantified by a Convolutional Neural Network (0-3.3 Ma)

Table S10. Site U1537 IRD Fluxes Per 5 kyr Quantified by a Convolutional Neural Network (0-3.3 Ma)

Table S11. Site U1536 IRD Fluxes Per 1 kyr Quantified by a Convolutional Neural Network (0-1.2 Ma)

Table S12. Site U1537 IRD Fluxes Per 1 kyr Quantified by a Convolutional Neural Network (0-1.2 Ma)

Table S13. Site U1538 IRD Fluxes Per 1 kyr Quantified by a Convolutional Neural Network (0-1.2 Ma)