cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.13259742
title: Evaluation of hydrological models at gauged and ungauged basins using machine learning-based limits-of-acceptability and hydrological signatures - 4

description: This resource contains data corresponding to the study titled "Evaluation of hydrological models at gauged and ungauged basins using machine learning-based limits-of-acceptability and hydrological signatures"

A detailed description of the dataset is contained in a readme file contained in the resource. 

This is only a part of this resource, other parts are shared on zenodo with appropriate titles. This resource is for the case where 99.5th percentile was used as upper LoA and 5% outliers were allowed. Version-2 is up-to-date and contains the results discussed in the final vrsion of the manuscript:

Gupta, A., Hantush, M. M., Govindaraju, R. S., & Beven, K. (2024). Evaluation of hydrological models at gauged and ungauged basins using machine learning-based limits-of-acceptability and hydrological signatures. Journal of Hydrology, 131774.

For further information on this resource, please contact abhigupta.1611@gmail.com
DOI: 10.15468/dl.3ef4vp
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.917477 -32.840851, 148.917477 -32.843097, 148.921968 -32.843097, 148.921968 -32.840851, 148.917477 -32.840851))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056573-240626123714530/datasets/export for details.
DOI: 10.15468/dl.kyhsrd
title: Occurrence Download

description: A dataset containing 111 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Triturus karelinii (Strauch, 1870)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2011",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 111 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056574-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10530453
title: Evaluating a conceptual hydrological model at gauged and ungauged basins using machine learning-based limits-of-acceptability and hydrological signatures - 5

description: This resource contains data corresponding to the study titled "Evaluation of hydrological models at gauged and ungauged basins using machine learning-based limits-of-acceptability and hydrological signatures"

A detailed description of the dataset is contained in a readme file contained in the resource. 

This is only a part of this resource, other parts are shared on zenodo with appropriate titles. This resource is for the case where 99.5th percentile was used as upper LoA and 5% outliers were allowed. Version-2 is up-to-date and contains the results discussed in the final vrsion of the manuscript:

Gupta, A., Hantush, M. M., Govindaraju, R. S., & Beven, K. (2024). Evaluation of hydrological models at gauged and ungauged basins using machine learning-based limits-of-acceptability and hydrological signatures. Journal of Hydrology, 131774.

For further information on this resource, please contact abhigupta.1611@gmail.com
DOI: 10.5281/zenodo.10530454
title: Evaluating a conceptual hydrological model at gauged and ungauged basins using machine learning-based limits-of-acceptability and hydrological signatures - 5

description: This resource contains data corresponding to the study titled "Evaluating a conceptual hydrological model at gauged and ungauged basins using machine learning-based limits-of-acceptability and hydrological signatures"

A detailed description of the dataset is contained in a readme file contained in the resource. 

This is only a part of this resource, other parts are shared on zenodo with appropriate titles. This resource is for the case where 97.5th percentile was used as upper LoA and 5% outliers were allowed.

For further information on this resource, please contact abhigupta.1611@gmail.com
DOI: 10.5281/zenodo.13264366
title: Evaluating a conceptual hydrological model at gauged and ungauged basins using machine learning-based limits-of-acceptability and hydrological signatures - 5

description: This resource contains data corresponding to the study titled "Evaluation of hydrological models at gauged and ungauged basins using machine learning-based limits-of-acceptability and hydrological signatures"

A detailed description of the dataset is contained in a readme file contained in the resource. 

This is only a part of this resource, other parts are shared on zenodo with appropriate titles. This resource is for the case where 99.5th percentile was used as upper LoA and 5% outliers were allowed. Version-2 is up-to-date and contains the results discussed in the final vrsion of the manuscript:

Gupta, A., Hantush, M. M., Govindaraju, R. S., & Beven, K. (2024). Evaluation of hydrological models at gauged and ungauged basins using machine learning-based limits-of-acceptability and hydrological signatures. Journal of Hydrology, 131774.

For further information on this resource, please contact abhigupta.1611@gmail.com
DOI: 10.5281/zenodo.10515776
title: Evaluation of hydrological models at gauged and ungauged basins using machine learning-based limits-of-acceptability and hydrological signatures - 6

description: This resource contains data corresponding to the study titled "Evaluation of hydrological models at gauged and ungauged basins using machine learning-based limits-of-acceptability and hydrological signatures"

A detailed description of the dataset is contained in a readme file contained in the resource. 

This is only a part of this resource, other parts are shared on zenodo with appropriate titles. This resource is for the case where 99.5th percentile was used as upper LoA and 0% outliers were allowed. Version-2 is up-to-date and contains the results discussed in the final vrsion of the manuscript:

Gupta, A., Hantush, M. M., Govindaraju, R. S., & Beven, K. (2024). Evaluation of hydrological models at gauged and ungauged basins using machine learning-based limits-of-acceptability and hydrological signatures. Journal of Hydrology, 131774.

For further information on this resource, please contact abhigupta.1611@gmail.com
DOI: 10.5281/zenodo.10515777
title: Evaluating a conceptual hydrological model at gauged and ungauged basins using machine learning-based limits-of-acceptability and hydrological signatures - 6

description: This resource contains data corresponding to the study titled "Evaluating a conceptual hydrological model at gauged and ungauged basins using machine learning-based limits-of-acceptability and hydrological signatures"

A detailed description of the dataset is contained in a readme file contained in the resource. 

This is only a part of this resource, other parts are shared on zenodo with appropriate titles. This resource is for the case where 99.5th percentile was used as upper LoA and 0% outliers were allowed.

For further information on this resource, please contact abhigupta.1611@gmail.com
DOI: 10.5281/zenodo.13270550
title: Evaluation of hydrological models at gauged and ungauged basins using machine learning-based limits-of-acceptability and hydrological signatures - 6

description: This resource contains data corresponding to the study titled "Evaluation of hydrological models at gauged and ungauged basins using machine learning-based limits-of-acceptability and hydrological signatures"

A detailed description of the dataset is contained in a readme file contained in the resource. 

This is only a part of this resource, other parts are shared on zenodo with appropriate titles. This resource is for the case where 99.5th percentile was used as upper LoA and 0% outliers were allowed. Version-2 is up-to-date and contains the results discussed in the final vrsion of the manuscript:

Gupta, A., Hantush, M. M., Govindaraju, R. S., & Beven, K. (2024). Evaluation of hydrological models at gauged and ungauged basins using machine learning-based limits-of-acceptability and hydrological signatures. Journal of Hydrology, 131774.

For further information on this resource, please contact abhigupta.1611@gmail.com
DOI: 10.15468/dl.qr43wp
title: Occurrence Download

description: A dataset containing 339 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Material sample, Specimen, Fossil, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is one of (Salix koriyanagi Kimura ex Goerz, Salix purpurea var. japonica Nakai)"
 ]
}

 The dataset includes 339 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056575-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3pr4tk
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((149.040996 -32.840851, 149.040996 -32.843097, 149.043241 -32.843097, 149.043241 -32.840851, 149.040996 -32.840851))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056576-240626123714530/datasets/export for details.
DOI: 10.15468/dl.3mdcsz
title: Occurrence Download

description: A dataset containing 139 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pelobates syriacus Boettger, 1889",
 "HasCoordinate is true",
 "Year is greater than or equal to 2011",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 139 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056577-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ybyavc
title: Occurrence Download

description: A dataset containing 1016 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Material sample, Specimen, Fossil, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is one of (Salix chaenomeloides Kimura, Salix glandulosa Raf., Pleiarina glandulosa (Seemen) N.Chao & G.T.Gong)"
 ]
}

 The dataset includes 1016 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056578-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wveqa9
title: Occurrence Download

description: A dataset listing the 71 species recorded in GBIF matching the query:
{
 "and" : [
 "GadmGid is USA.45_1",
 "TaxonKey is Lomatium Raf."
 ]
}

 The dataset's 71 records were derived from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056569-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6478wg
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((149.16676 -32.843097, 149.16676 -32.845342, 149.171252 -32.845342, 149.171252 -32.843097, 149.16676 -32.843097))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056579-240626123714530/datasets/export for details.
DOI: 10.25345/c5cc0v528
title: MassIVE MSV000095557 - Transfer RNA acetylation regulates in vivo mammalian stress signaling
title: Transfer RNA (tRNA) modifications are crucial for protein synthesis, but their physiological roles remain poorly understood. Here we investigate the impact of N4-acetylcytidine (ac4C), a highly conserved tRNA modification, using a Thumpd1 knockout mouse model. We find that loss of Thumpd1-dependent tRNA acetylation leads to reduced levels of tRNALeu, increased ribosome stalling, and activation of eIF2-alpha phosphorylation. Thumpd1 knockout mice exhibit growth defects and sterility. Remarkably, concurrent knockout of Thumpd1 and the stress-sensing kinase Gcn2 causes penetrant postnatal lethality, revealing a critical genetic interaction. Our findings demonstrate that a modification restricted to a single position within type II cytosolic tRNAs can regulate ribosome-mediated signaling in mammalian organisms. Insights into how tRNA modifications shape phenotype and signaling in response to stress provide a foundation for novel strategies for therapeutic intervention and translational control.
DOI: 10.15468/dl.we9xtd
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((148.749042 -32.829622, 148.749042 -32.834113, 148.751288 -32.834113, 148.751288 -32.829622, 148.749042 -32.829622)), ((148.749042 -32.829622, 148.749042 -32.827376, 148.742304 -32.827376, 148.742304 -32.820639, 148.72883 -32.820639, 148.72883 -32.82513, 148.733321 -32.82513, 148.733321 -32.829622, 148.749042 -32.829622)), ((148.751288 -32.834113, 148.751288 -32.845342, 148.755779 -32.845342, 148.755779 -32.847588, 148.758025 -32.847588, 148.758025 -32.836359, 148.764762 -32.836359, 148.764762 -32.834113, 148.7715 -32.834113, 148.7715 -32.829622, 148.773746 -32.829622, 148.773746 -32.82513, 148.767008 -32.82513, 148.767008 -32.827376, 148.764762 -32.827376, 148.764762 -32.829622, 148.760271 -32.829622, 148.760271 -32.834113, 148.758025 -32.834113, 148.758025 -32.829622, 148.753533 -32.829622, 148.753533 -32.834113, 148.751288 -32.834113)), ((148.749042 -32.827376, 148.753533 -32.827376, 148.753533 -32.820639, 148.764762 -32.820639, 148.764762 -32.818393, 148.767008 -32.818393, 148.767008 -32.813901, 148.7715 -32.813901, 148.7715 -32.818393, 148.773746 -32.818393, 148.773746 -32.820639, 148.775991 -32.820639, 148.775991 -32.813901, 148.773746 -32.813901, 148.773746 -32.807164, 148.775991 -32.807164, 148.775991 -32.811655, 148.782729 -32.811655, 148.782729 -32.804918, 148.767008 -32.804918, 148.767008 -32.811655, 148.758025 -32.811655, 148.758025 -32.807164, 148.753533 -32.807164, 148.753533 -32.813901, 148.751288 -32.813901, 148.751288 -32.82513, 148.749042 -32.82513, 148.749042 -32.827376)))"
 ]
}

 The dataset includes 35 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056580-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5hcrhz
title: Occurrence Download

description: A dataset containing 444 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rana graeca Boulenger, 1891",
 "HasCoordinate is true",
 "Year is greater than or equal to 2011",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 444 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056581-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8pad4q
title: Occurrence Download

description: A dataset containing 2578 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Material sample, Specimen, Fossil, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is one of (Salix babylonica L., Salix cantoniensis Hance, Salix chinensis Burm.fil., Salix babylonica f. villosa C.F.Fang, Salix babylonica var. szechuanica Goerz)"
 ]
}

 The dataset includes 2578 records from 241 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056583-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5519/qd.0d3f6v37
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (35 records)
DOI: 10.15468/dl.awk56h
title: Occurrence Download

description: A dataset containing 54 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((149.040996 -32.820639, 149.040996 -32.836359, 149.043241 -32.836359, 149.043241 -32.834113, 149.052225 -32.834113, 149.052225 -32.840851, 149.058962 -32.840851, 149.058962 -32.836359, 149.063454 -32.836359, 149.063454 -32.843097, 149.079174 -32.843097, 149.079174 -32.840851, 149.08142 -32.840851, 149.08142 -32.843097, 149.085912 -32.843097, 149.085912 -32.845342, 149.088157 -32.845342, 149.088157 -32.849834, 149.094895 -32.849834, 149.094895 -32.843097, 149.090403 -32.843097, 149.090403 -32.840851, 149.094895 -32.840851, 149.094895 -32.836359, 149.090403 -32.836359, 149.090403 -32.834113, 149.088157 -32.834113, 149.088157 -32.829622, 149.085912 -32.829622, 149.085912 -32.827376, 149.08142 -32.827376, 149.08142 -32.829622, 149.067945 -32.829622, 149.067945 -32.834113, 149.065699 -32.834113, 149.065699 -32.829622, 149.063454 -32.829622, 149.063454 -32.82513, 149.058962 -32.82513, 149.058962 -32.820639, 149.056716 -32.820639, 149.056716 -32.82513, 149.052225 -32.82513, 149.052225 -32.820639, 149.040996 -32.820639))"
 ]
}

 The dataset includes 54 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056584-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.teenvr
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((149.75516 -32.843097, 149.757406 -32.843097, 149.757406 -32.845342, 149.764143 -32.845342, 149.764143 -32.843097, 149.761897 -32.843097, 149.761897 -32.840851, 149.757406 -32.840851, 149.757406 -32.836359, 149.761897 -32.836359, 149.761897 -32.834113, 149.757406 -32.834113, 149.757406 -32.829622, 149.75516 -32.829622, 149.75516 -32.843097)), ((149.75516 -32.843097, 149.752914 -32.843097, 149.752914 -32.849834, 149.757406 -32.849834, 149.757406 -32.845342, 149.75516 -32.845342, 149.75516 -32.843097)), ((149.757406 -32.849834, 149.757406 -32.85208, 149.761897 -32.85208, 149.761897 -32.854326, 149.768635 -32.854326, 149.768635 -32.85208, 149.764143 -32.85208, 149.764143 -32.849834, 149.757406 -32.849834)), ((149.768635 -32.85208, 149.777618 -32.85208, 149.777618 -32.849834, 149.784355 -32.849834, 149.784355 -32.845342, 149.773126 -32.845342, 149.773126 -32.843097, 149.768635 -32.843097, 149.768635 -32.845342, 149.764143 -32.845342, 149.764143 -32.849834, 149.768635 -32.849834, 149.768635 -32.85208)), ((149.761897 -32.840851, 149.764143 -32.840851, 149.764143 -32.836359, 149.761897 -32.836359, 149.761897 -32.840851)), ((149.75516 -32.829622, 149.75516 -32.827376, 149.761897 -32.827376, 149.761897 -32.829622, 149.764143 -32.829622, 149.764143 -32.834113, 149.768635 -32.834113, 149.768635 -32.829622, 149.77088 -32.829622, 149.77088 -32.827376, 149.764143 -32.827376, 149.764143 -32.82513, 149.752914 -32.82513, 149.752914 -32.829622, 149.75516 -32.829622)), ((149.77088 -32.829622, 149.77088 -32.834113, 149.779864 -32.834113, 149.779864 -32.836359, 149.784355 -32.836359, 149.784355 -32.829622, 149.786601 -32.829622, 149.786601 -32.82513, 149.784355 -32.82513, 149.784355 -32.827376, 149.777618 -32.827376, 149.777618 -32.829622, 149.77088 -32.829622)), ((149.784355 -32.82513, 149.784355 -32.813901, 149.773126 -32.813901, 149.773126 -32.820639, 149.777618 -32.820639, 149.777618 -32.82513, 149.784355 -32.82513)))"
 ]
}

 The dataset includes 4 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056585-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uwz5df
title: Occurrence Download

description: A dataset containing 3643 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Podarcis erhardii (Bedriaga, 1882)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2011",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 3643 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056587-240626123714530/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.26521036
title: Using the Superformula to Model Quantum Effects - Student responses

description: This spreadsheet contains the assessment and responses used to evaluate students' experience of exploring the use of the Superformula to understand quantum phenomena.The assessment consists of 6 questions and was administered via email to the group of 9 students who had participated in the course activities. 8/9 student responses were received. Student responses are reported verbatim.
DOI: 10.6084/m9.figshare.26521036.v1
title: Using the Superformula to Model Quantum Effects - Student responses

description: This spreadsheet contains the assessment and responses used to evaluate students' experience of exploring the use of the Superformula to understand quantum phenomena.The assessment consists of 6 questions and was administered via email to the group of 9 students who had participated in the course activities. 8/9 student responses were received. Student responses are reported verbatim.
DOI: 10.15468/dl.99gpqm
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((149.896645 -32.829622, 149.896645 -32.831868, 149.887662 -32.831868, 149.887662 -32.836359, 149.885416 -32.836359, 149.885416 -32.840851, 149.88317 -32.840851, 149.88317 -32.843097, 149.898891 -32.843097, 149.898891 -32.849834, 149.903383 -32.849834, 149.903383 -32.85208, 149.907874 -32.85208, 149.907874 -32.858817, 149.914611 -32.858817, 149.914611 -32.856571, 149.91012 -32.856571, 149.91012 -32.849834, 149.907874 -32.849834, 149.907874 -32.843097, 149.903383 -32.843097, 149.903383 -32.840851, 149.898891 -32.840851, 149.898891 -32.829622, 149.896645 -32.829622))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056588-240626123714530/datasets/export for details.
DOI: 10.15468/dl.5uw982
title: Occurrence Download

description: A dataset containing 552198 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Material sample, Specimen, Fossil, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is one of (Salicaceae, Chosenia arbutifolia (Pall.) A.K.Skvortsov, Salix splendida Nakai, Salix bracteosa Turcz., Salix eucalyptoides F.N.Meijer ex C.K.Schneid., Salix macrolepis Turcz., Chosenia splendida (Nakai) Nakai, Chosenia macrolepis (Turcz.) Kom., Chosenia eucalyptoides (F.N.Meijer ex C.K.Schneid.) Nakai, Chosenia bracteosa (Turcz. ex Trautv. & C.A.Mey.) Nakai)"
 ]
}

 The dataset includes 552198 records from 1154 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056565-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sms5xs
title: Occurrence Download

description: A dataset containing 5955 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gonatodes vittatus (Lichtenstein & Martens, 1856)"
 ]
}

 The dataset includes 5955 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035027-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.