cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.6sxam3
title: Occurrence Download

description: A dataset containing 113 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Peru",
 "TaxonKey is Puma concolor (Linnaeus, 1771)"
 ]
}

 The dataset includes 113 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022516-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kdtsxd
title: Occurrence Download

description: A dataset containing 118944 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Vulpes vulpes (Linnaeus, 1758)",
 "Country is Australia",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 118944 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022509-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zmnzf5
title: Occurrence Download

description: A dataset containing 45 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Peru",
 "TaxonKey is Hippocamelus antisensis (d'Orbigny, 1834)"
 ]
}

 The dataset includes 45 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022517-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y8vqjx
title: Occurrence Download

description: A dataset containing 96 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Pleurothallis crocodiliceps Rchb.f."
 ]
}

 The dataset includes 96 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022518-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48366/r756762
title: Multicriteria-based Soil Suitability Assessment

description: This comparison features the use of multicriteria approach in the assessing soil suitability.
DOI: 10.15468/dl.7n8w5y
title: Occurrence Download

description: A dataset containing 712070 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is one of (Canada, Mexico, United States of America)",
 "EventDate is greater than or equal to 2024-09-24",
 "EventDate is less than or equal to 2024-10-24",
 {
 "not" : {
 "Issue" : [
 "is one of (Basis of record invalid, Coordinate reprojection failed, Coordinate reprojection suspicious, Coordinate precision invalid, Coordinate uncertainty meters invalid, Country mismatch, Country invalid, Geodetic datum invalid, Presumed swapped coordinate, Presumed negated longitude, Presumed negated latitude, Country coordinate mismatch)"
 ]
 }
 }
 ]
}

 The dataset includes 712070 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022433-241107131044228/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.27179920
title: Adaptive Learning of the Latent Space of Wasserstein Generative Adversarial Networks

description: Generative models based on latent variables, such as generative adversarial networks (GANs) and variational auto-encoders (VAEs), have gained lots of interests due to their impressive performance in many fields. However, many data such as natural images usually do not populate the ambient Euclidean space but instead reside in a lower-dimensional manifold. Thus an inappropriate choice of the latent dimension fails to uncover the structure of the data, possibly resulting in mismatch of latent representations and poor generative qualities. Toward addressing these problems, we propose a novel framework called the latent Wasserstein GAN (LWGAN) that fuses the Wasserstein auto-encoder and the Wasserstein GAN so that the intrinsic dimension of the data manifold can be adaptively learned by a modified informative latent distribution. We prove that there exist an encoder network and a generator network in such a way that the intrinsic dimension of the learned encoding distribution is equal to the dimension of the data manifold. We theoretically establish that our estimated intrinsic dimension is a consistent estimate of the true dimension of the data manifold. Meanwhile, we provide an upper bound on the generalization error of LWGAN, implying that we force the synthetic data distribution to be similar to the real data distribution from a population perspective. Comprehensive empirical experiments verify our framework and show that LWGAN is able to identify the correct intrinsic dimension under several scenarios, and simultaneously generate high-quality synthetic data by sampling from the learned latent distribution. Supplementary materials for this article are available online, including a standardized description of the materials available for reproducing the work.
DOI: 10.6084/m9.figshare.27179920.v1
title: Adaptive Learning of the Latent Space of Wasserstein Generative Adversarial Networks

description: Generative models based on latent variables, such as generative adversarial networks (GANs) and variational auto-encoders (VAEs), have gained lots of interests due to their impressive performance in many fields. However, many data such as natural images usually do not populate the ambient Euclidean space but instead reside in a lower-dimensional manifold. Thus an inappropriate choice of the latent dimension fails to uncover the structure of the data, possibly resulting in mismatch of latent representations and poor generative qualities. Toward addressing these problems, we propose a novel framework called the latent Wasserstein GAN (LWGAN) that fuses the Wasserstein auto-encoder and the Wasserstein GAN so that the intrinsic dimension of the data manifold can be adaptively learned by a modified informative latent distribution. We prove that there exist an encoder network and a generator network in such a way that the intrinsic dimension of the learned encoding distribution is equal to the dimension of the data manifold. We theoretically establish that our estimated intrinsic dimension is a consistent estimate of the true dimension of the data manifold. Meanwhile, we provide an upper bound on the generalization error of LWGAN, implying that we force the synthetic data distribution to be similar to the real data distribution from a population perspective. Comprehensive empirical experiments verify our framework and show that LWGAN is able to identify the correct intrinsic dimension under several scenarios, and simultaneously generate high-quality synthetic data by sampling from the learned latent distribution. Supplementary materials for this article are available online, including a standardized description of the materials available for reproducing the work.
DOI: 10.15468/dl.k8tj6p
title: Occurrence Download

description: A dataset containing 260 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Argentina, Chile, Uruguay, Brazil, Bolivia (Plurinational State of))",
 "OccurrenceStatus is Present",
 "TaxonKey is Amauropelta argentina (Hieron.) Salino & T.E.Almeida"
 ]
}

 The dataset includes 260 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022520-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dscvnf
title: Occurrence Download

description: A dataset containing 205 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Argentina",
 "TaxonKey is Microgramma vaccinifolia (Langsd. & Fisch.) Copel."
 ]
}

 The dataset includes 205 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022523-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f5tw9f
title: Occurrence Download

description: A dataset containing 14628 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Honduras",
 "StateProvince is Francisco Morazan"
 ]
}

 The dataset includes 14628 records from 142 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022521-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7hgmku
title: Occurrence Download

description: A dataset containing 1430 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anoplophora chinensis (Forster, 1771)"
 ]
}

 The dataset includes 1430 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022524-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qw2g23
title: Occurrence Download

description: A dataset containing 1435 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hydrochoerus isthmius Goldman, 1912"
 ]
}

 The dataset includes 1435 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022525-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13887355
title: Experts fail to reliably detect AI-generated histological data

description: This repository contains material related to the paper "Experts fail to reliably detect AI-generated histological data":



Dreambooth parameters (dreambooth_parameters.zip)

Images displayed during the study (images.zip)

Data collected during the survey (results-survey.xlsx)

R Code to reproduce results and figures (analysis_code.zip)


Please find our associated work here:

Hartung, J., Reuter, S., Kulow, V.A., Fähling, M., Spreckelsen, C., and Mrowka, R. (2024). Experts fail to reliably detect AI-generated histological data. Sci Rep 14, 28677. https://doi.org/10.1038/s41598-024-73913-8.
DOI: 10.5281/zenodo.13887356
title: Experts fail to reliably detect AI-generated histological data

description: This repository contains material related to the paper "Experts fail to reliably detect AI-generated histological data":



Dreambooth parameters (dreambooth_parameters.zip)

Images displayed during the study (images.zip)

Data collected during the survey (results-survey.xlsx)

R Code to reproduce results and figures (analysis_code.zip)


Please find our associated work here:

Hartung, J., Reuter, S., Kulow, V.A., Fähling, M., Spreckelsen, C., and Mrowka, R. (2024). Experts fail to reliably detect AI-generated histological data. Sci Rep 14, 28677. https://doi.org/10.1038/s41598-024-73913-8.
DOI: 10.15468/dl.zjzh4v
title: Occurrence Download

description: A dataset containing 1435 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hydrochoerus isthmius Goldman, 1912"
 ]
}

 The dataset includes 1435 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022526-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14188205
title: 19144_2020_09_07_DownUpshift_2_0_2_glu_ura_mig1msn2_phluorin_secondRound_00 (part 1)

description: High throughput time lapse experiment. Details can be found on the 'txt' files inside.
DOI: 10.5281/zenodo.14188206
title: 19144_2020_09_07_DownUpshift_2_0_2_glu_ura_mig1msn2_phluorin_secondRound_00 (part 1)

description: High throughput time lapse experiment. Details can be found on the 'txt' files inside.
DOI: 10.5281/zenodo.10951130
title: Closing the stellar labels gap: Stellar label independent evidence for [alpha/M] information in Gaia BP/RP spectra
DOI: 10.5281/zenodo.10951129
title: Data associated with 'Closing the stellar labels gap: Stellar label independent evidence for [α/M] information in Gaia BP/RP spectra'

description: We present a stellar label independent model for Gaia BP/RP (XP) spectra, which does not rely on stellar labels to simulate XP spectra. Here, we provide all of the data required to reproduce our results. All of the data files should be placed in the data folder. Below we brieflty summarize the contents of each:

APOGEE/GAIA XP DATA:



xp_apogee_cat.h5: Contains all Gaia XP data and APOGEE stellar labels used in this work.

xp_corrs.npz: Contains Gaia XP covariance matrices for a subset of the test data to compute reconstruction errors.


INTERMEDIATE DATA PRODUCTS:

(All files below can be reproduced with our codebase. We simply include them to speed up runtime for reproducing our results.)



lb23_xp_est_labels.npy: Leung & Bovy (2023) XP coeffficient spectra reconstructions (stellar label dependent implementaton)

lb23_xp_est_no_labels.npy: Leung & Bovy (2023) XP coeffficient spectra reconstructions (stellar label independent implementaton)

xp_wavelength_space.npy: Observed Gaia XP spectra in wavelength space

err_wavelength_space.npy: Observed Gaia XP uncertainties in wavelength space

apogee_norm.npz: Means and standard deviations which are used to pre-process Gaia XP data before inputting into our model

zhang_stellar_params_xmatch.npz: Zhang, Green, Rix (2023) stellar parameter estimates for subset of XP spectra (to compute reconstructions)

vae_wavelength_space.npy: Our model XP coefficient reconstructions in wavelength space


If you have any questions please reach out via email: alex.laroche@mail.utoronto.ca
DOI: 10.5281/zenodo.10951393
title: Closing the stellar labels gap: Stellar label independent evidence for [alpha/M] information in Gaia BP/RP spectra

description: We present a stellar label independent model for Gaia BP/RP (XP) spectra, which does not rely on stellar labels to simulate XP spectra. Here, we provide all of the data required to reproduce our results. All of the data files should be placed in the data folder.
DOI: 10.5281/zenodo.14041773
title: Data associated with 'Closing the stellar labels gap: Stellar label independent evidence for [α/M] information in Gaia BP/RP spectra'

description: We present a stellar label independent model for Gaia BP/RP (XP) spectra, which does not rely on stellar labels to simulate XP spectra. Here, we provide all of the data required to reproduce our results. All of the data files should be placed in the data folder. Below we brieflty summarize the contents of each:

APOGEE/GAIA XP DATA:



xp_apogee_cat.h5: Contains all Gaia XP data and APOGEE stellar labels used in this work.

xp_corrs.npz: Contains Gaia XP covariance matrices for a subset of the test data to compute reconstruction errors.


INTERMEDIATE DATA PRODUCTS:

(All files below can be reproduced with our codebase. We simply include them to speed up runtime for reproducing our results.)



lb23_xp_est_labels.npy: Leung & Bovy (2023) XP coeffficient spectra reconstructions (stellar label dependent implementaton)

lb23_xp_est_no_labels.npy: Leung & Bovy (2023) XP coeffficient spectra reconstructions (stellar label independent implementaton)

xp_wavelength_space.npy: Observed Gaia XP spectra in wavelength space

err_wavelength_space.npy: Observed Gaia XP uncertainties in wavelength space

apogee_norm.npz: Means and standard deviations which are used to pre-process Gaia XP data before inputting into our model

zhang_stellar_params_xmatch.npz: Zhang, Green, Rix (2023) stellar parameter estimates for subset of XP spectra (to compute reconstructions)

vae_wavelength_space.npy: Our model XP coefficient reconstructions in wavelength space


If you have any questions please reach out via email: alex.laroche@mail.utoronto.ca
DOI: 10.5281/zenodo.13855071
title: River flow and catchment rainfall records for the River Garry at Invergarry (Inverness-shire), Scotland, 1913-1915

description: Daily mean flows for the River Garry at Invergarry (Inverness-shire), Gauge A1, spanning the period 1913-01-01 to 1915-12-31.

Data collected by Capt. W. N. McClean via his organisation River Flow Records, assisted by local observers.

We acknowledge the sponsorship of Scottish Hydro-Electric and the Scottish Environment Protection Agency in suporting the costs of creating digital time series.

Subsequent to the colletion of these records, the River Garry was developed by the construction of dams and hydro power stations below Loch Quoich and Loch Garry.

The Scottish Environment Protection Agency (SEPA) subsequently opened a river flow gauging station on the River Garry at Craigard in 1997, approximately 3 km upstream of McClean's gauge, operated until May 2011.
DOI: 10.5281/zenodo.13942334
title: Hydrographic gridded data set for the South Brazil Bight and Southern Brazilian Shelf

description: This dataset includes climatological and seasonal maps, spanning data from 1972 to 2024, across 8 different depth levels: 5, 10, 25, 50, 100, 200, 500, and 1000 dBar, with a spatial resolution of 10 km. The maps were generated using the griddata function with triangulation-based natural neighbor interpolation. The variables included in this dataset are conservative temperature (°C), absolute salinity (g kg⁻¹), neutral density (kg m⁻³), dissolved oxygen (mL L⁻¹), total alkalinity (µmol kg⁻¹), total dissolved inorganic carbon (µmol kg⁻¹), pH (total scale), partial pressure of carbon dioxide (µatm), nitrate (µmol kg⁻¹), and phosphate (µmol kg⁻¹). The name description of each variable is provided in the readme_DatasetATLAS.txt. The dataset can be directly accessed using Ocean Data View (ODV) software. 

 
description: If you have any questions, please feel free to contact carbonteam@furg.br
DOI: 10.5281/zenodo.13942335
title: Hydrographic gridded data set for the South Brazil Bight and Southern Brazilian Shelf

description: This dataset includes climatological and seasonal maps, spanning data from 1972 to 2024, across 8 different depth levels: 5, 10, 25, 50, 100, 200, 500, and 1000 dBar, with a spatial resolution of 10 km. The maps were generated using the griddata function with triangulation-based natural neighbor interpolation. The variables included in this dataset are conservative temperature (°C), absolute salinity (g kg⁻¹), neutral density (kg m⁻³), dissolved oxygen (mL L⁻¹), total alkalinity (µmol kg⁻¹), total dissolved inorganic carbon (µmol kg⁻¹), pH (total scale), partial pressure of carbon dioxide (µatm), nitrate (µmol kg⁻¹), and phosphate (µmol kg⁻¹). The name description of each variable is provided in the readme_DatasetATLAS.txt. The dataset can be directly accessed using Ocean Data View (ODV) software. 

 
description: If you have any questions, please feel free to contact carbonteam@furg.br
DOI: 10.15468/dl.zrgq8b
title: Occurrence Download

description: A dataset containing 50227 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ursus arctos Linnaeus, 1758"
 ]
}

 The dataset includes 50227 records from 316 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022528-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h4rwhb
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Peru",
 "TaxonKey is Capra Linnaeus, 1758"
 ]
}

 The dataset includes 6 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022529-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/w2rupu
title: American Museum of Natural History (AMNH) Hymenoptera Meliponini Collection

description: This dataset represents a subset of Meliponini bees in the Division of Invertebrate Zoology at the American Museum of Natural History as part of a NSF TCN collaborative digitization project.
DOI: 10.15468/dl.nu86ca
title: Occurrence Download

description: A dataset containing 6657 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Maccullochella peelii (Mitchell, 1838)"
 ]
}

 The dataset includes 6657 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022530-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fbzj9u
title: Occurrence Download

description: A dataset containing 50227 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ursus arctos Linnaeus, 1758"
 ]
}

 The dataset includes 50227 records from 316 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022531-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10897034
title: 3-hourly water level records (selected high flow events) for the River Garry at Invergarry (Inverness-shire), Scotland

description: 3-hourly records of stage (water level) for the River Garry at Invergarry (Inverness-shire), Gauge A2, for selected high-flow events 1936-1940.  Extracts from a record spanning the period 1936-10-01 to 1944-09-30.

Data collected by Capt. W. N. McClean via his organisation River Flow Records and with the assistance of local observers.

We acknowledge the sponsorship of Scottish Hydro-Electric and the Scottish Environment Protection Agency in suporting the costs of creating digital time series.

Subsequent to the colletion of these records, the River Garry was developed by the construction of dams and hydro power stations below Loch Quoich and Loch Garry.

The Scottish Environment Protection Agency (SEPA) subsequently opened a river flow gauging station on the River Garry at Craigard in 1997, approximately 3 km upstream of McClean's gauge, operated until 2011.
DOI: 10.15468/dl.xr3zr5
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Peru",
 "TaxonKey is Ovis Linnaeus, 1758"
 ]
}

 The dataset includes 12 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022532-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pqjq97
title: Occurrence Download

description: A dataset containing 5131 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Honduras",
 "StateProvince is El Paraiso"
 ]
}

 The dataset includes 5131 records from 96 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022533-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yp8q9n
title: Occurrence Download

description: A dataset containing 2130 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Colombia, United States of America, South Africa, Brazil, Congo, Democratic Republic of the, China, India, Indonesia, Tanzania, United Republic of)",
 "TaxonKey is Eucalyptus grandis W.Hill ex Maiden"
 ]
}

 The dataset includes 2130 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022535-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.