cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17486076
title: Optimizing the design of pipelines for drinking water systems using deep neural networks in the Huancabamba District
title: Optimizar diseño de líneas de conducción para sistemas de agua potable usando redes neuronales profundas en el Distrito de Huancabamba

description: Note (Version 1.1): This updated version includes an additional Excel file containing extended hydraulic calibration data for rural pipeline systems in Huancabamba.

This dataset corresponds to the study titled « Optimización del diseño de tuberías para sistemas de agua potable mediante redes neuronales profundas en el distrito de Huancabamba» . The data were collected from 75 rural water supply projects located in the Huancabamba District, Piura Region, Peru. Each project includes hydraulic, topographic, and design parameters such as flow rate, pipe diameter, velocity, pressure, and elevation profiles, which were used to train and validate a deep neural network model developed in Python and TensorFlow.

The dataset includes structured files in CSV and Excel formats containing:





General project data: geographic coordinates of intake and reservoir points, elevations, and pipe material information.




Topographic profiles: surveyed elevation points along the transmission lines.




Hydraulic design parameters: flow, pressure, velocity, and diameter for each section of the pipeline.




Predicted outputs: optimized pipeline alignment and design parameters generated by the trained deep learning model.



Access to these data is provided to the reviewers of the Journal of Water Resources Planning and Management (ASCE) for evaluation purposes. The dataset supports the reproducibility of the proposed deep learning model and facilitates the verification of results reported in the manuscript.

File formats: .csv , .xlsx, .pdf, .png, .Ry .RmdSoftware used: Python 3.10, TensorFlow, Pandas, NumPy, and AutoCAD Civil 3D for spatial validation.
DOI: 10.15468/dl.b4as69
title: Occurrence Download

description: A dataset containing 31 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "Geometry POLYGON((31.25702 46.63605,32.07733 46.66534,32.2934 47.67242,31.51337 48.24738,30.8432 48.04596,31.12518 46.94733,31.25702 46.63605))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lacerta agilis Linnaeus, 1758",
 "Year 1000-2019"
 ]
}

 The dataset includes 31 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0281772-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pfrykv
title: Occurrence Download

description: A dataset containing 17314 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-37.35351 -4.79906,-51.88476 1.99179,-58.33008 -0.11719,-60.9082 1.1718,-67.35351 -0.93746,-70.40039 -5.61599,-68.75977 -8.40717,-65.47852 -7.36247,-60.32226 -12.78323,-37.35351 -4.79906))",
 "HasGeospatialIssue is false",
 "TaxonKey is Plantae",
 "Year 2018-2021"
 ]
}

 The dataset includes 17314 records from 62 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0312398-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ewenrr
title: Occurrence Download

description: A dataset containing 414081 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phragmites australis (Cav.) Trin. ex Steud."
 ]
}

 The dataset includes 414081 records from 852 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009694-180730143533302/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nzqkpn
title: Occurrence Download

description: A dataset containing 190627 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Human Observation"
 ]
 },
 "Geometry POLYGON((-120.74414 35.17822,-118.63476 27.93603,-109.59961 21.88916,-110.75977 33.84229,-120.74414 35.17822))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Hymenoptera"
 ]
}

 The dataset includes 190627 records from 91 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0228718-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2knvcp
title: Occurrence Download

description: A dataset containing 46486 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Specimen"
 ]
 },
 "Geometry POLYGON((21.31531 67.67029,24.54529 67.71423,27.0575 67.67029,27.03552 69.38416,21.31531 69.34021,21.31531 67.67029))",
 "Month is July",
 "OccurrenceStatus is Present",
 "Year 2010-2021"
 ]
}

 The dataset includes 46486 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034072-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3k7hr3
title: Occurrence Download

description: A dataset containing 183 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lepidium aucheri Boiss."
 ]
}

 The dataset includes 183 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040748-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g7vz9h
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Saxifraga engleriana Harry Sm.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 7 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0321349-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3xe7am
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Puccinellia svalbardensis Rønning",
 "MediaType is Image",
 "BasisOfRecord is Human Observation"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001832-210914110416597/datasets/export for details.
DOI: 10.15468/dl.bsn42b
title: Occurrence Download

description: A dataset containing 6500 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Malaysia",
 "OccurrenceStatus is Present",
 "TaxonKey is Corvus splendens Vieillot, 1817"
 ]
}

 The dataset includes 6500 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0238290-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9bruqe
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eptesicus nilssonii parvus Kishida, 1932"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0186294-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fzdxzs
title: Occurrence Download

description: A dataset containing 158871 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-79.46191 -8.65723,-76.19238 -8.48145,-75.48926 -6.93457,-75.66504 -4.71973,-75.03223 -2.50488,-74.08301 -0.71191,-71.79785 2.83887,-70.18945 5.25586,-68.36133 6.24023,-65.83008 7.36523,-64.2832 8.41992,-62.73633 10.31836,-62.66601 12.2168,-62.94727 13.97461,-64.49414 15.09961,-67.16602 15.09961,-68.87988 15.53027,-70.14551 15.53027,-71.34082 15.4248,-72.99316 15.49512,-74.15332 15.56543,-76.40332 15.45996,-78.2666 15.45996,-79.77832 15.60059,-81.11426 15.70605,-82.45019 15.81152,-84.80566 16.40918,-86.38769 16.62012,-87.8291 16.26855,-89.02441 15.84668,-90.29004 14.5459,-90.95801 13.38574,-89.34082 10.53809,-87.2666 9.20215,-85.26269 8.00684,-83.78613 6.77637,-81.67676 6.35449,-80.37597 5.79199,-80.45508 4.41211,-81.7207 2.51367,-82.63476 -1.21289,-83.54883 -3.46289,-83.57519 -6.33691,-82.30957 -7.77832,-81.04395 -8.23535,-79.46191 -8.65723))",
 "HasCoordinate is true",
 "TaxonKey is Mammalia",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 158871 records from 182 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009695-180412121330197/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jtbx3f
title: Occurrence Download

description: A dataset containing 10802 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-2000.0",
 "Country is Australia",
 "TaxonKey is Sus scrofa Linnaeus, 1758",
 "Year 1960-2021"
 ]
}

 The dataset includes 10802 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0301173-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vktpp3
title: Occurrence Download

description: A dataset containing 935 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Occurrence records of mammal species in Tana River Basin, Kenya"
 ]
}

 The dataset includes 935 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0238301-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f2rfbq
title: Occurrence Download

description: A dataset containing 6079 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "TaxonKey is Osmia bicornis (Linnaeus, 1758)",
 "Year 1980-2021"
 ]
}

 The dataset includes 6079 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005557-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.brbl6p
title: Occurrence Download

description: A dataset containing 729 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Zygophyllum fabago L.",
 "TaxonKey is Zygophyllum fabago L.",
 "TaxonKey is Zygophyllum fabago L.",
 "TaxonKey is Zygophyllum fabago L.",
 "TaxonKey is Zygophyllum fabago L."
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 729 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009695-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hzswhc
title: Occurrence Download

description: A dataset containing 28652 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-2000.0",
 "Country is Australia",
 "TaxonKey is Tachyglossus aculeatus (Shaw, 1792)",
 "Year 1960-2021"
 ]
}

 The dataset includes 28652 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0301179-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.spssbf
title: Occurrence Download

description: A dataset containing 150 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Cremanthodium rhodocephalum Diels"
 ]
}

 The dataset includes 150 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0268036-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dfwdms
title: Occurrence Download

description: A dataset containing 2565 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dipteris conjugata Reinw."
 ]
}

 The dataset includes 2565 records from 91 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0297040-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.epafkh
title: Occurrence Download

description: A dataset containing 271434 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Hungary"
 ]
}

 The dataset includes 271434 records from 666 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009695-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0163931.10fu
title: SH0163931.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0163932.10fu
title: SH0163932.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0163933.10fu
title: SH0163933.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0163934.10fu
title: SH0163934.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0163935.10fu
title: SH0163935.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0163936.10fu
title: SH0163936.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0163937.10fu
title: SH0163937.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0163938.10fu
title: SH0163938.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0163939.10fu
title: SH0163939.10FU

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.