cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17919738
title: THE IMPORTANT ROLE OF LASER LAND LEVELING IN THE EFFICIENT AND RATIONAL USE OF AGRICULTURAL CROPLANDS

description: The article highlights the technical aspects, advantages, and limitations of leveling agricultural lands and utilizing irrigation water efficiently under current global climate change conditions. It also describes the operating principles, benefits, and practical application processes of new, modern, and innovative technologies that use laser levelers for land leveling. One of the main factors for achieving high crop yields in irrigated agriculture is the uniform leveling of farmland. In this article, we present modern methods of agricultural land leveling, one of which is leveling crop fields using a laser-guided system. Laser-assisted land leveling ensures uniform distribution of water and nutrients across the field, creating favorable conditions for the growth of all types of crops. As a result, crop productivity increases by an average of 5–10 c/ha.
DOI: 10.5281/zenodo.17919753
title: code and data
DOI: 10.5281/zenodo.17919752
title: code and data
DOI: 10.15468/dl.mnxmms
title: Occurrence Download

description: A dataset containing 30238 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Coptis"
 ]
}

 The dataset includes 30238 records from 352 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050839-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8k9mce
title: Occurrence Download

description: A dataset containing 1245 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Emballonura monticola, Eoglaucomys fimbriatus, Eonycteris spelaea, Eospalax fontanierii, Eospalax rothschildi)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 1245 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050841-251120083545085/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.28573898
title: <b>A cold stress-activated endocrine </b><b>sentinel</b><b> </b><b>chemical hormone</b><b> promotes</b><b> insect survival via mitochondrial adaptations</b><b> through the adipokinetic hormone receptor</b>

description: Here, we identify the endogenous ascaroside C9 (asc-C9) acts as a chemical signal that markedly improves survival following acute cold exposure by coupling lipolysis to mitochondrial adaptation.
DOI: 10.6084/m9.figshare.28573898.v3
title: <b>A cold stress-activated endocrine </b><b>sentinel</b><b> </b><b>chemical hormone</b><b> promotes</b><b> insect survival via mitochondrial adaptations</b><b> through the adipokinetic hormone receptor</b>

description: Here, we identify the endogenous ascaroside C9 (asc-C9) acts as a chemical signal that markedly improves survival following acute cold exposure by coupling lipolysis to mitochondrial adaptation.
DOI: 10.6084/m9.figshare.28573898.v2
title: <b>A cold stress-activated endocrine </b><b>sentinel</b><b> </b><b>chemical hormone</b><b> promotes</b><b> insect survival via mitochondrial adaptations</b><b> through the adipokinetic hormone receptor</b>

description: Here, we identify the endogenous ascaroside C9 (asc-C9) acts as a chemical signal that markedly improves survival following acute cold exposure by coupling lipolysis to mitochondrial adaptation.
DOI: 10.15468/dl.m7epj2
title: Occurrence Download

description: A dataset containing 293968 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is Indonesia",
 "GadmGid is one of (IDN.1_1, IDN.31.14_1, IDN.30_1, IDN.31_1, IDN.32_1)",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 293968 records from 465 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050819-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17421110
title: Global mapping for the occurrence of all-sized microplastics in seafloor sediments

description:       Based on the longitude, latitude and depth of 2,024 sampling points recorded in the literature, combined with the sampling date, the submarine current state data set of the corresponding sampling points was extracted.

      Navigate to the folder on the five submarine current state data sets discussed in this section. Here you will find various steps on how to extract the required data on the state of submarine currents based on the latitude and longitude of the sampling point, sampling depth, and sampling date.The comments for each Python file are explained as follows:



`Literature Sampling Point.txt` - Screen and extract the basic data from ~150 valid literature sources related to the abundance of microplastics in marine sediments, including latitude and longitude, sampling depth, and sampling date.

`bottom_circirculation_otu_PHIBOT.py` - The relative pressure at the bottom of the sea floor at the sampling point is extracted.

`bottom_circirculation_otu_SALT.py` - The salinity of submarine currents at the sampling point is extracted.

`bottom_circirculation_otu_THETA.py` - Submarine current temperatures are extracted from the sampling points.

`bottom_circirculation_otu_UVEL.py` - The zonal velocity of the submarine current at the sampling point is extractd.

`bottom_circirculation_otu_VVEL.py` - The meridional velocity of the submarine current at the sampling point is extracted.


      If you use these machine learning models for research applications and publish papers, please cite:

Jingchun Feng, Canrong Li, Xiaonan Wu. Global mapping for the occurrence of all-sized microplastics in seafloor sediments, DOI: XXX.
DOI: 10.5281/zenodo.17421111
title: Global mapping for the occurrence of all-sized microplastics in seafloor sediments

description:       Based on the longitude, latitude and depth of 2,024 sampling points recorded in the literature, combined with the sampling date, the submarine current state data set of the corresponding sampling points was extracted.

      Navigate to the folder on the five submarine current state data sets discussed in this section. Here you will find various steps on how to extract the required data on the state of submarine currents based on the latitude and longitude of the sampling point, sampling depth, and sampling date.The comments for each Python file are explained as follows:



`Literature Sampling Point.txt` - Screen and extract the basic data from ~150 valid literature sources related to the abundance of microplastics in marine sediments, including latitude and longitude, sampling depth, and sampling date.

`bottom_circirculation_otu_PHIBOT.py` - The relative pressure at the bottom of the sea floor at the sampling point is extracted.

`bottom_circirculation_otu_SALT.py` - The salinity of submarine currents at the sampling point is extracted.

`bottom_circirculation_otu_THETA.py` - Submarine current temperatures are extracted from the sampling points.

`bottom_circirculation_otu_UVEL.py` - The zonal velocity of the submarine current at the sampling point is extractd.

`bottom_circirculation_otu_VVEL.py` - The meridional velocity of the submarine current at the sampling point is extracted.


      If you use these machine learning models for research applications and publish papers, please cite:

Jingchun Feng, Canrong Li, Xiaonan Wu. Global mapping for the occurrence of all-sized microplastics in seafloor sediments, DOI: XXX.
DOI: 10.5281/zenodo.17919762
title: UPDATING MAPS AND CREATING ORTHOPHOTOS USING SATELLITE IMAGES

description: This article is devoted to updating cadastral maps using photogrammetric methods.
DOI: 10.5281/zenodo.17919763
title: UPDATING MAPS AND CREATING ORTHOPHOTOS USING SATELLITE IMAGES

description: This article is devoted to updating cadastral maps using photogrammetric methods.
DOI: 10.15468/dl.s3q4y6
title: Occurrence Download

description: A dataset containing 62 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Eospalax smithii, Eothenomys cachinus, Eothenomys chinensis, Eothenomys custos, Eothenomys melanogaster)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 62 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050843-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8wdxrd
title: Occurrence Download

description: A dataset containing 119286 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Erigeron sumatrensis"
 ]
}

 The dataset includes 119286 records from 1103 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050817-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.updoeq
title: Occurrence Download

description: A dataset containing 579 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dolichonyx oryzivorus (Linnaeus, 1758)",
 "Geometry POLYGON((-81.15 46.56,-81.15 49.49,-74.26 49.49,-74.26 46.56,-81.15 46.56))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 579 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057266-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kdv5jq
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lobelia subscaposa Rzed."
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0172463-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dywr9m
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Magnolia bankardiorum M.O.Dillon & Sánchez Vega"
 ]
}

 The dataset includes 46 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0172464-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x1jtaq
title: Occurrence Download

description: A dataset containing 183 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Elopiformes",
 "Geometry POLYGON((-84.375 5.965753,-87.1875 -3.513421,-82.617187 -19.311143,-76.992187 -25.482951,-79.101562 -39.368279,-80.507812 -51.179342,-80.15625 -57.136239,-67.5 -57.891497,-56.601562 -54.572061,-52.382812 -36.879620,-40.429687 -29.228890,-27.070312 -10.833305,-45 7.362466,-71.367187 14.264383,-77.343749 14.264383,-84.375 5.965753))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 183 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009282-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a2r4wt
title: Occurrence Download

description: A dataset containing 456 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Schizolobium parahyba (Vell.) S.F.Blake",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 456 records from 82 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057269-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uguydc
title: Occurrence Download

description: A dataset containing 11335 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Diversidad de ocho grupos de insecta (Odonata, Lycidae, Phengodidae, Lampyridae, Cantharidae, Cerambycidae, Syrphidae y Vespidae) en tres regiones con bosque tropical caducifolio en México"
 ]
}

 The dataset includes 11335 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033617-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.593rld
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "InstitutionCode is nhmuk",
 "TaxonKey is Phyllotis amicus Thomas, 1900"
 ]
}

 The dataset includes 23 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008064-190320150433242/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7laiyj
title: Occurrence Download

description: A dataset containing 354 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Riparia riparia (Linnaeus, 1758)",
 "Geometry POLYGON((-80.32 46.21,-80.32 49.16,-73.43 49.16,-73.43 46.21,-80.32 46.21))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 354 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057270-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d6yx2k
title: Occurrence Download

description: A dataset containing 1765 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Taxodium mucronatum Ten.",
 "Year 2009-2023"
 ]
}

 The dataset includes 1765 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027605-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pugt6z
title: Occurrence Download

description: A dataset containing 8323348 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is USA.50_1",
 "OccurrenceStatus is Present",
 "Year 2017-2020"
 ]
}

 The dataset includes 8323348 records from 127 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0172431-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8ydvvq
title: Occurrence Download

description: A dataset containing 1574035 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhodophyta"
 ]
}

 The dataset includes 1574035 records from 644 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008064-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cx4egz
title: Occurrence Download

description: A dataset containing 3985 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Spain, Portugal)",
 "TaxonKey is Gypaetus barbatus (Linnaeus, 1758)",
 "Year 2021-2023"
 ]
}

 The dataset includes 3985 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033611-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yljlut
title: Occurrence Download

description: A dataset containing 675 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cardellina canadensis (Linnaeus, 1766)",
 "Geometry POLYGON((-79.85 46.10,-79.85 49.05,-72.96 49.05,-72.96 46.10,-79.85 46.10))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 675 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057272-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.i9mns8
title: Occurrence Download

description: A dataset containing 12003 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Poa chaixii Vill.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 12003 records from 109 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009283-151016162008034/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.1u8anu
title: Occurrence Download

description: A dataset containing 582 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chaetura pelagica (Linnaeus, 1758)",
 "Geometry POLYGON((-80.18 46.17,-80.18 49.12,-73.29 49.12,-73.29 46.17,-80.18 46.17))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 582 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057274-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cadhn8
title: Occurrence Download

description: A dataset containing 6616 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-22.90559 25.33147,37.90559 25.33147,37.90559 49.66853,-22.90559 49.66853,-22.90559 25.33147))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Paramuricea clavata (Risso, 1827)"
 ]
}

 The dataset includes 6616 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0172465-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e89vgw
title: Occurrence Download

description: A dataset containing 343 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "OccurrenceStatus is Present",
 "TaxonKey is Rattus norvegicus (Berkenhout, 1769)"
 ]
}

 The dataset includes 343 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026609-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nige9e
title: Occurrence Download

description: A dataset containing 20946 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Iriartea deltoidea Ruiz & Pav."
 ]
}

 The dataset includes 20946 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009285-160623103540712/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nx2iis
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bucephala islandica (J.F.Gmelin, 1789)",
 "Geometry POLYGON((-79.97 46.38,-79.97 49.33,-73.08 49.33,-73.08 46.38,-79.97 46.38))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 9 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057279-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.744gs6
title: Occurrence Download

description: A dataset containing 6451392 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is USA.50_1",
 "OccurrenceStatus is Present",
 "Year 2021-2024"
 ]
}

 The dataset includes 6451392 records from 84 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0172432-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7an7ux
title: Occurrence Download

description: A dataset containing 223 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hesperia colorado oregonia (W.H.Edwards, 1883)"
 ]
}

 The dataset includes 223 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025334-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ka78c3
title: Occurrence Download

description: A dataset containing 14959 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Trifolium scabrum L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 14959 records from 112 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009288-151016162008034/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fc0k6s
title: Occurrence Download

description: A dataset containing 70 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Contopus virens (Linnaeus, 1766)",
 "Geometry POLYGON((-79.98 46.71,-79.98 49.63,-73.09 49.63,-73.09 46.71,-79.98 46.71))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 70 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057282-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nqqpcv
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Myotis atacamensis (Lataste, 1892)",
 "Year 1974-2023"
 ]
}

 The dataset includes 29 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029189-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ftk6fj
title: Occurrence Download

description: A dataset containing 456 species occurrences available in GBIF matching the query:
{
 "or" : [
 "TaxonKey is Pinus brutia Ten.",
 "TaxonKey is Pinus brutia var. brutia"
 ]
}

 The dataset includes 456 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009288-160118175350007/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gwxt2y
title: Occurrence Download

description: A dataset containing 375 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pinus taeda L.",
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE"
 ]
}

 The dataset includes 375 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057284-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.