cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15868840
title: A satellite based machine learning approach for estimating high resolution daily average air temperature in a megacity in Brazil

description: This dataset was generated using a Random Forest model as described in the study entitled "A satellite-based machine learning approach to estimate high resolution daily air temperature in São Paulo, Brazil". We developed a generalizable tree-based machine learning approach (Random Forest) to estimate daily mean temperatures at 500 x 500 metres resolution for São Paulo, Brazil.

Methods

We trained a Random Forest model using open-access remote sensing data, along with derived products, and temperature measurements from 43 ground stations. To prevent overfitting and select relevant features, we employed a forward feature selection algorithm with target-oriented (spatial) cross-validation. Hyperparameter tuning was performed using grid search approach. The model was validated through ten-fold spatial cross-validation and an external hold-out dataset. The model demonstrated strong performance (RMSERF = 0.80; R²RF = 0.95), with slightly reduced accuracy in rural areas (R²rural = 0.91; R²urban = 0.95). Compared to traditional multilinear approaches (RMSEMLR = 1.02; R²MLR = 0.92), the Random Forest model outperformed, likely due to its ability to better capture microclimates and complex relationships between data sources. This 500 x 500 metres daily temperature dataset is the first of its kind in South America, with the São Paulo pipeline and data freely accessible. The approach is adaptable to other regions with appropriate retraining and validation, enabling high-resolution exposure assessments

Why is this important?

Spatiotemporally resolved ambient temperature data is essential for environmental epidemiological studies, particularly in densely populated and urbanized areas where temperature can vary significantly over short distances. Spatially continuous temporal records at high spatial resolution are, however, often lacking, especially in low- and middle-income countries. This 500 x 500 metres daily temperature dataset is the first of its kind in South America, with the São Paulo pipeline and data freely accessible. The approach is adaptable to other regions with appropriate retraining and validation, enabling high-resolution exposure assessments

 

Metadata: 




Temporal Resolution
Daily, Monthly, Annually, All period


Temporal Coverage
2015-2019


Spatial Resolution
500m x 500m


Spatial Coverage


São Paulo municipality - bounding box  (lonmin: -46.9559; latmin: -24.0854; lonmax: -46.2226; latmax: -23.2839, coordinate reference system: WGS84)



Format
TIFF


Dataset upload
12.07.2025
DOI: 10.5281/zenodo.15868839
title: A satellite based machine learning approach for estimating high resolution daily average air temperature in a megacity in Brazil

description: This dataset was generated using a Random Forest model as described in the study entitled "A satellite-based machine learning approach to estimate high resolution daily air temperature in São Paulo, Brazil". We developed a generalizable tree-based machine learning approach (Random Forest) to estimate daily mean temperatures at 500 x 500 metres resolution for São Paulo, Brazil.

Methods

We trained a Random Forest model using open-access remote sensing data, along with derived products, and temperature measurements from 43 ground stations. To prevent overfitting and select relevant features, we employed a forward feature selection algorithm with target-oriented (spatial) cross-validation. Hyperparameter tuning was performed using grid search approach. The model was validated through ten-fold spatial cross-validation and an external hold-out dataset. The model demonstrated strong performance (RMSERF = 0.80; R²RF = 0.95), with slightly reduced accuracy in rural areas (R²rural = 0.91; R²urban = 0.95). Compared to traditional multilinear approaches (RMSEMLR = 1.02; R²MLR = 0.92), the Random Forest model outperformed, likely due to its ability to better capture microclimates and complex relationships between data sources. This 500 x 500 metres daily temperature dataset is the first of its kind in South America, with the São Paulo pipeline and data freely accessible. The approach is adaptable to other regions with appropriate retraining and validation, enabling high-resolution exposure assessments

Why is this important?

Spatiotemporally resolved ambient temperature data is essential for environmental epidemiological studies, particularly in densely populated and urbanized areas where temperature can vary significantly over short distances. Spatially continuous temporal records at high spatial resolution are, however, often lacking, especially in low- and middle-income countries. This 500 x 500 metres daily temperature dataset is the first of its kind in South America, with the São Paulo pipeline and data freely accessible. The approach is adaptable to other regions with appropriate retraining and validation, enabling high-resolution exposure assessments

 

Metadata: 




Temporal Resolution
Daily, Monthly, Annually, All period


Temporal Coverage
2015-2019


Spatial Resolution
500m x 500m


Spatial Coverage


São Paulo municipality - bounding box  (lonmin: -46.9559; latmin: -24.0854; lonmax: -46.2226; latmax: -23.2839, coordinate reference system: WGS84)



Format
TIFF


Dataset upload
12.07.2025
DOI: 10.17026/ar/9nqpkb
title: PAN-00128116 - coin/coin-related, ?, dupondius/as

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00128116&lt;/p&gt;
description: Modified: 2025-09-30T08:22:53+02:00
DOI: 10.15468/vh8kn7
title: Three new species of Gelechiinae (Lepidoptera: Gelechiidae) from India

description: This dataset contains the digitized treatments in Plazi based on the original journal article Nandhini, D., Shashank, P. R. (2025): Three new species of Gelechiinae (Lepidoptera: Gelechiidae) from India. Zootaxa 5728 (1): 163-172, DOI: 10.11646/zootaxa.5728.1.6, URL: https://doi.org/10.11646/zootaxa.5728.1.6AbstractThis study describes and illustrates three new species, Gelechia adi sp. nov., G. bilobuncusa sp. nov. and Istrianis ladakhensis sp. nov. (Lepidoptera: Gelechiidae: Gelechiinae) from India based on the characters of external morphology and the male and female genitalia. Diagnostic characters are provided and compared to similar species. All the specimens were collected during a recent faunistic survey in three Indian states, thereby expanding the knowledge of Indian Gelechiidae.
DOI: 10.34740/kaggle/ds/9062748
title: FMCW Radar KSL Dataset
DOI: 10.15468/dl.b28e63
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((70.740298 30.300623, 70.658992 30.295045, 70.579714 30.27845, 70.504442 30.251253, 70.435047 30.214131, 70.373251 30.168008, 70.320578 30.114032, 70.278322 30.053544, 70.247511 29.988042, 70.228882 29.919149, 70.222872 29.848564, 70.229601 29.778029, 70.248878 29.709277, 70.280204 29.643996, 70.32279 29.583786, 70.37557700000001 29.530119, 70.437259 29.484305, 70.50632299999999 29.447461, 70.581081 29.420484, 70.65971 29.404031, 70.740298 29.398502, 70.820886 29.404031, 70.89951499999999 29.420484, 70.974273 29.447461, 71.04333699999999 29.484305, 71.105019 29.530119, 71.15780599999999 29.583786, 71.20039199999999 29.643996, 71.231718 29.709277, 71.250995 29.778029, 71.257724 29.848564, 71.25171400000001 29.919149, 71.233085 29.988042, 71.202274 30.053544, 71.16001799999999 30.114032, 71.107345 30.168008, 71.04554899999999 30.214131, 70.97615399999999 30.251253, 70.900882 30.27845, 70.82160399999999 30.295045, 70.740298 30.300623))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058055-251120083545085/datasets/export for details.
DOI: 10.60707/w5k7-pm30
title: SEM-EDS images
DOI: 10.17026/ar/jm1t3u
title: PAN-00142554 - terra sigillata plate type Drag. 18/31

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00142554&lt;/p&gt;
description: Modified: 2025-10-19T11:12:50+02:00
DOI: 10.15468/dl.jq54ty
title: Occurrence Download

description: A dataset containing 247 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((9.67494 52.36668,15.65124 52.36668,15.65124 54.75617,9.67494 54.75617,9.67494 52.36668))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Chelidurella acanthopygia"
 ]
}

 The dataset includes 247 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058056-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.byne4k
title: Occurrence Download

description: A dataset containing 75892 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cota tinctoria",
 "HasCoordinate is true"
 ]
}

 The dataset includes 75892 records from 604 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058030-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.538b4x
title: Occurrence Download

description: A dataset containing 538097 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Centaurea jacea"
 ]
}

 The dataset includes 538097 records from 2108 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058250-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.spjjb2
title: Occurrence Download

description: A dataset containing 646 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Lindera angustifolia W.C.Cheng"
 ]
}

 The dataset includes 646 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015151-230828120925497/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qxrqct
title: Occurrence Download

description: A dataset containing 3183 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Numenius phaeopus (Linnaeus, 1758)",
 "Year 2011-2018"
 ]
}

 The dataset includes 3183 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0170695-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.urh4m4
title: Occurrence Download

description: A dataset containing 4778 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Macrotus waterhousii Gray, 1843"
 ]
}

 The dataset includes 4778 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0350098-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ntbgrm
title: Occurrence Download

description: A dataset containing 7236 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Silene dichotoma Ehrh."
 ]
}

 The dataset includes 7236 records from 314 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017621-230828120925497/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.36qgr7
title: Occurrence Download

description: A dataset containing 1728 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Erysiphe berberidis DC., Erysiphe hedwigii (Lév.) U.Braun & S.Takam., Phyllactinia guttata (Wallr.) Lév.)",
 "Geometry POLYGON((-9.36035 44.71551,-10.59082 42.81152,-11.82129 36.80928,-7.69043 36.17336,-3.38379 35.88905,3.12012 38.13456,9.18457 38.20366,11.7334 37.16032,12.78809 34.74161,17.09473 33.79741, 23.15918 34.23451,30.10254 32.62087,33.2666 32.99024,35.72754 35.03,33.00293 35.53223,28.69629 35.17381,28.34473 36.31513,25.7959 37.50973,24.91699 39.90974,28.78418 40.6473,30.71777 41.17865,36.87012 45.213,38.18848 46.98025,38.71582 47.7541,39.94629 47.93107,40.20996 49.61071,37.0459 50.34546,35.72754 50.40152,33.79395 52.26816,31.68457 51.94426,31.4209 53.27835,32.56348 53.43572,30.98145 54.77535,30.89355 55.52863,28.43262 56.02295,27.20215 57.65716,27.37793 58.30949,27.90527 59.17593,29.66309 59.88894,27.6416 60.58697,31.50879 62.75473,28.78418 69.83962,30.89355 70.28912,29.22363 71.55274,21.75293 71.30079,14.28223 70.14036,11.38184 67.47492,4.87793 63.66576,-5.53711 71.52491,-10.63477 71.69129,-21.5332 67.74276,-28.56445 65.36684,-24.3457 61.35461,-9.36035 44.71551))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2021"
 ]
}

 The dataset includes 1728 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0164072-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xeqjf2
title: Occurrence Download

description: A dataset containing 60102 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhinolophus hipposideros (Bechstein, 1800)"
 ]
}

 The dataset includes 60102 records from 186 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0350099-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b2tnt7
title: Occurrence Download

description: A dataset containing 286 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cynanchica supina (M.Bieb.) P.Caputo & Del Guacchio"
 ]
}

 The dataset includes 286 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019553-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w33qjv
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ogilbichthys longimanus Møller, Schwarzhans & Nielsen, 2004"
 ]
}

 The dataset includes 6 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060797-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5k9upy
title: Occurrence Download

description: A dataset containing 3219 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Silene conoidea L."
 ]
}

 The dataset includes 3219 records from 207 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017612-230828120925497/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zpza33
title: Occurrence Download

description: A dataset containing 629971 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Andrena Fabricius, 1775"
 ]
}

 The dataset includes 629971 records from 563 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0350120-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ummamk
title: Occurrence Download

description: A dataset containing 804 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dasispermum suffruticosum (Bergius) B.L.Burtt"
 ]
}

 The dataset includes 804 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0203790-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g9s348
title: Occurrence Download

description: A dataset containing 28244 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Alternanthera philoxeroides (Mart.) Griseb."
 ]
}

 The dataset includes 28244 records from 305 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0353018-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6yrbsp
title: Occurrence Download

description: A dataset containing 9880458 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Ecuador"
 ]
}

 The dataset includes 9880458 records from 2101 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082430-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3za3xp
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Stenocranus tamagawanus Matsumura, 1935",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0225859-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s9ufs6
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Selaginella bisulcata Spring"
 ]
}

 The dataset includes 17 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050367-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aayyfv
title: Occurrence Download

description: A dataset containing 1583 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-122.6203545000000048 45.4795761999999968, -122.6203545000000048 45.4825199300000023, -122.6203545000000048 45.4847571700000017, -122.6203545000000048 45.4868766600000001, -122.6203545000000048 45.4881718999999975, -122.6203545000000048 45.4904091399999970, -122.6203545000000048 45.4921753799999991, -122.6203545000000048 45.4937061199999988, -122.6203545000000048 45.4955901100000020, -122.6203545000000048 45.4972386000000029, -122.6177557099999973 45.4972386000000029, -122.6142119000000008 45.4972386000000029, -122.6110224699999947 45.4972386000000029, -122.6085417999999976 45.4972386000000029, -122.6085417999999976 45.4944126199999985, -122.6085417999999976 45.4927641299999976, -122.6085417999999976 45.4906446399999993, -122.6085417999999976 45.4892316500000007, -122.6085417999999976 45.4871121600000023, -122.6085417999999976 45.4844039199999983, -122.6085417999999976 45.4824021800000011, -122.6085417999999976 45.4795761999999968, -122.6116130999999996 45.4795761999999968, -122.6132668799999976 45.4795761999999968, -122.6152750400000002 45.4795761999999968, -122.6169288199999983 45.4795761999999968, -122.6203545000000048 45.4795761999999968))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1932",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Observation, Specimen, Machine Observation)"
 ]
}

 The dataset includes 1583 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0097269-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xsse4d
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Czechia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Arum maculatum L.",
 "Year 1980-2020"
 ]
}

 The dataset includes 12 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065903-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2chb9h
title: Occurrence Download

description: A dataset containing 133 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eutelia geyeri Felder & Rogenhofer, 1874",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 133 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0188810-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3yazz2
title: Occurrence Download

description: A dataset containing 2910 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pedicularis resupinata L."
 ]
}

 The dataset includes 2910 records from 102 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060051-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x3wpg2
title: Occurrence Download

description: A dataset containing 441 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Saxipoa saxicola (R.Br.) Soreng, L.J.Gillespie & S.W.L.Jacobs"
 ]
}

 The dataset includes 441 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0088376-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g6ccg3
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Weinmannia abstrusa J.F.Morales"
 ]
}

 The dataset includes 14 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005700-240425142415019/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.