cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0118612.10fu
title: SH0118612.10FU

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: 10.15468/dl.we3zmw
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rosa rubiginosa Webb ex Ball"
 ]
}

 The dataset includes 16 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042608-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3ksy7a
title: Occurrence Download

description: A dataset containing 65 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anser anser x indicus"
 ]
}

 The dataset includes 65 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042609-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uu554g
title: Occurrence Download

description: A dataset containing 1217 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "GadmGid is USA.12_1",
 "TaxonKey is Psidium cattleianum Afzel. ex Sabine"
 ]
}

 The dataset includes 1217 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042610-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t2cahf
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Scorpaena agassizii Goode & Bean, 1896",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900",
 "CoordinateUncertaintyInMeters is less than or equal to 10000"
 ]
}

 The dataset includes 11 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042611-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bnvun9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rosa rubiginosa Sm."
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042612-241126133413365/datasets/export for details.
DOI: 10.15468/dl.m9247p
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anser brachyrhynchus x indicus"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042613-241126133413365/datasets/export for details.
DOI: 10.6084/m9.figshare.28067777
title: PTV Visum dataset cities

description: PTV Visum file about the chosen cities for the simulation of people and cargo flows
DOI: 10.6084/m9.figshare.28067777.v1
title: PTV Visum dataset cities

description: PTV Visum file about the chosen cities for the simulation of people and cargo flows
DOI: 10.15468/dl.ycyr2e
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Scorpaena albifimbria Evermann & Marsh, 1900",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900",
 "CoordinateUncertaintyInMeters is less than or equal to 10000"
 ]
}

 The dataset includes 16 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042614-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6twnuc
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rosa rubiginosa Webb"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042615-241126133413365/datasets/export for details.
DOI: 10.15468/dl.g99vnq
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anser cygnoides x indicus"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042616-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cpk983
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Scorpaena brachyptera Eschmeyer, 1965",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900",
 "CoordinateUncertaintyInMeters is less than or equal to 10000"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042617-241126133413365/datasets/export for details.
DOI: 10.15468/dl.96tk9w
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rosa rubiginosa Coss."
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042618-241126133413365/datasets/export for details.
DOI: 10.15468/dl.yngkcs
title: Occurrence Download

description: A dataset containing 110965 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON((-95.71388 16.53336,-95.19159 16.01108,-94.67397 16.51004,-95.71388 16.53336))"
 ]
}

 The dataset includes 110965 records from 422 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042601-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jaq6f3
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Branta leucopsis x Anser indicus"
 ]
}

 The dataset includes 17 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042619-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6gzxxg
title: Occurrence Download

description: A dataset containing 177 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Scorpaena brasiliensis Cuvier, 1829",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900",
 "CoordinateUncertaintyInMeters is less than or equal to 10000"
 ]
}

 The dataset includes 177 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042620-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nrxf86
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rosa rubiginosa Britton & N.E.Br."
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042621-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jvakv3
title: Occurrence Download

description: A dataset containing 59 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bactrocera carambolae Drew & Hancock, 1994",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900",
 "CoordinateUncertaintyInMeters is less than 5000",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 59 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042622-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7yekt2
title: Occurrence Download

description: A dataset containing 249 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Scorpaena calcarata Goode & Bean, 1882",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900",
 "CoordinateUncertaintyInMeters is less than or equal to 10000"
 ]
}

 The dataset includes 249 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042623-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rxuax7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Branta canadensis x Anser indicus"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042624-241126133413365/datasets/export for details.
DOI: 10.25345/c5416tb37
title: MassIVE MSV000096708 - Intersecting impact of CAG repeat and Huntingtin knockout in stem cell-derived cortical neurons: Pluripotent stage
title: Huntington Disease (HD) is caused by a CAG repeat expansion in the gene encoding Huntingtin (HTT). While normal HTT function appears impacted by the mutation, the specific pathways unique to CAG repeat expansion versus loss of normal function are unclear. To understand the impact of the CAG repeat expansion, we evaluated biological signatures of HTT knockout (HTT KO) versus those that occur from the CAG repeat expansion by applying multi-omics, live cell imaging, survival analysis and a novel feature-based pipeline to study cortical neurons (eCNs) derived from an isogenic human embryonic stem cell series (RUES2). HTT KO and the CAG repeat expansion influence developmental trajectories of eCNs, with opposing effects on the growth. Network analyses of differentially expressed genes and proteins associated with enriched epigenetic motifs identified subnetworks common to CAG repeat expansion and HTT KO that include neuronal differentiation, cell cycle regulation, and mechanisms related to transcriptional repression and may represent gain-of-function mechanisms that cannot be explained by HTT loss of function alone. A combination of dominant and loss-of-function mechanisms are likely involved in the aberrant neurodevelopmental and neurodegenerative features of HD that can help inform therapeutic strategies.
DOI: 10.15468/dl.mq4r6a
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rosa rubiginosa M.Bieb."
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042625-241126133413365/datasets/export for details.
DOI: 10.15468/dl.3b4xbe
title: Occurrence Download

description: A dataset containing 48 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Scorpaena dispar Longley & Hildebrand, 1940",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900",
 "CoordinateUncertaintyInMeters is less than or equal to 10000"
 ]
}

 The dataset includes 48 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042626-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bd78sx
title: Occurrence Download

description: A dataset containing 110 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Platanus hispanica Ten."
 ]
}

 The dataset includes 110 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042627-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14532761
title: Peripheral vascular models

description: Image-based computer models of the peripheral vasculature, specifically the iliac and connecting arteries.
DOI: 10.5281/zenodo.14532762
title: Peripheral vascular models

description: Image-based computer models of the peripheral vasculature, specifically the iliac and connecting arteries.
DOI: 10.15468/dl.47fef7
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rosa mollis × rubiginosa"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042629-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uewf73
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Scorpaena elachys Eschmeyer, 1965",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900",
 "CoordinateUncertaintyInMeters is less than or equal to 10000"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042630-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nbxrrh
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rosa rubiginosa × vosagiaca agg."
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042632-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zqytq7
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Scorpaena grandicornis Cuvier, 1829",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900",
 "CoordinateUncertaintyInMeters is less than or equal to 10000"
 ]
}

 The dataset includes 51 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042633-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9gku5t
title: Occurrence Download

description: A dataset containing 589 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Scorpaena guttata Girard, 1854",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900",
 "CoordinateUncertaintyInMeters is less than or equal to 10000"
 ]
}

 The dataset includes 589 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042635-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.chfnem
title: Occurrence Download

description: A dataset containing 53773 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Felis silvestris Schreber, 1777"
 ]
}

 The dataset includes 53773 records from 486 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042634-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ffqhee
title: Occurrence Download

description: A dataset containing 68 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Scorpaena inermis Cuvier, 1829",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900",
 "CoordinateUncertaintyInMeters is less than or equal to 10000"
 ]
}

 The dataset includes 68 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042636-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14532710
title: JAWRA 2025 - LSTM attributes analysis

description: These are LSTM predictions coming from different sets of static attributes. The "PC" indicates the principal component of the HydroAtlas (Linke et al., 2019). The number after PC indicates the number of PCs used in the LSTM model. For instance, PC1 is the first principal component, PC2 is the first two principal components, etc. Also included here are LSTM runs with randomly selected HydroAtlas attributes (HA_10randomAttributes_[a through i]). We also have LSTM runs that use NOAH-MP parameters as static attributes. Results from these data will be included in an upcoming peer reviewed publication in the Journal of the American Water Resources Association, a posted with preiliminary results is available online (Frame et al., 2024). LSTM training and testing was done with NeuralHydrology (Kratzert et al., 2022).

Included are zip files with ensemble mean predictions, which are used in the published figures and analasis, but we also include the individual model runs (individual_runs.zip).

Code is available to analyze these runs, which is available at this GitHub repository: https://github.com/NWC-CUAHSI-Summer-Institute/attribute_pca

 

AKNOWLEDGEMENTS: NOAA NWC Innovators Program, Summer Institute. Administered by the CUAHSI andthe University of Alabama under the CIROH; NOAA Cooperative Agreement NA22NWS4320003. This research waspartially supported by NOAA cooperative agreement (grant number NA19NES4320002). The research resultspresented herein represent the personal opinion of the authors, and not official policy of the U.S. Department ofCommerce or the National Oceanic and Atmospheric Administration

References:

Frame, J. M., Araki, R., Bhuiyan, S. A., Bindas, T., Rapp, J., Bolotin, L., Deardorff, E., Liu, Q., Haces-Garcia, F., Liao, M., Frazier, N., & Ogden, F. L. (2024). Machine learning for a heterogeneous water modeling framework. ESS Open Archive. https://doi.org/10.22541/essoar.171690771.18409532/v1

Kratzert, F., Gauch, M., Nearing, G., & Klotz, D. (2022). NeuralHydrology---A Python library for Deep Learning research in hydrology. Journal of Open Source Software, 7(71), 4050.

Linke, S., Lehner, B., Ouellet Dallaire, C., Ariwi, J., Grill, G., Anand, M., Beames, P., Burchard-Levine, V., Maxwell, S., Moidu, H., Tan, F., Thieme, M. (2019). Global hydro-environmental sub-basin and river reach characteristics at high spatial resolution. Scientific Data 6: 283. doi: https://doi.org/10.1038/s41597-019-0300-6
DOI: 10.5281/zenodo.14532711
title: JAWRA 2025 - LSTM attributes analysis

description: These are LSTM predictions coming from different sets of static attributes. The "PC" indicates the principal component of the HydroAtlas (Linke et al., 2019). The number after PC indicates the number of PCs used in the LSTM model. For instance, PC1 is the first principal component, PC2 is the first two principal components, etc. Also included here are LSTM runs with randomly selected HydroAtlas attributes (HA_10randomAttributes_[a through i]). We also have LSTM runs that use NOAH-MP parameters as static attributes. Results from these data will be included in an upcoming peer reviewed publication in the Journal of the American Water Resources Association, a posted with preiliminary results is available online (Frame et al., 2024). LSTM training and testing was done with NeuralHydrology (Kratzert et al., 2022).

Included are zip files with ensemble mean predictions, which are used in the published figures and analasis, but we also include the individual model runs (individual_runs.zip).

Code is available to analyze these runs, which is available at this GitHub repository: https://github.com/NWC-CUAHSI-Summer-Institute/attribute_pca

 

AKNOWLEDGEMENTS: NOAA NWC Innovators Program, Summer Institute. Administered by the CUAHSI andthe University of Alabama under the CIROH; NOAA Cooperative Agreement NA22NWS4320003. This research waspartially supported by NOAA cooperative agreement (grant number NA19NES4320002). The research resultspresented herein represent the personal opinion of the authors, and not official policy of the U.S. Department ofCommerce or the National Oceanic and Atmospheric Administration

References:

Frame, J. M., Araki, R., Bhuiyan, S. A., Bindas, T., Rapp, J., Bolotin, L., Deardorff, E., Liu, Q., Haces-Garcia, F., Liao, M., Frazier, N., & Ogden, F. L. (2024). Machine learning for a heterogeneous water modeling framework. ESS Open Archive. https://doi.org/10.22541/essoar.171690771.18409532/v1

Kratzert, F., Gauch, M., Nearing, G., & Klotz, D. (2022). NeuralHydrology---A Python library for Deep Learning research in hydrology. Journal of Open Source Software, 7(71), 4050.

Linke, S., Lehner, B., Ouellet Dallaire, C., Ariwi, J., Grill, G., Anand, M., Beames, P., Burchard-Levine, V., Maxwell, S., Moidu, H., Tan, F., Thieme, M. (2019). Global hydro-environmental sub-basin and river reach characteristics at high spatial resolution. Scientific Data 6: 283. doi: https://doi.org/10.1038/s41597-019-0300-6