cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.dm8qnv
title: Occurrence Download

description: A dataset containing 2081 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Scorpiurus vermiculatus L."
 ]
}

 The dataset includes 2081 records from 117 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0119889-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.825eyd
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Urophorus humeralis (Fabricius, 1798)",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 26 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0315126-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-05.2800207/2342814
title: Data for EMSL Project 51287 from May 2023
DOI: 10.15468/dl.sd5dbx
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Stelis xystophora Luer"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0142831-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qe5fwn
title: Occurrence Download

description: A dataset containing 76 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Carpophilus chalybaeus Murray, 1864",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 76 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0315142-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-05.2799778/2342815
title: Data for EMSL Project 51287 from May 2023
DOI: 10.15468/dl.555g85
title: Occurrence Download

description: A dataset containing 70288 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pomoxis nigromaculatus (Lesueur, 1829)"
 ]
}

 The dataset includes 70288 records from 90 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001485-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-05.2800388/2342816
title: Data for EMSL Project 51287 from May 2023
DOI: 10.25582/data.2023-04.2797317/2342817
title: Data for EMSL Project 51287 from April 2023
DOI: 10.15468/dl.5kxr62
title: Occurrence Download

description: A dataset containing 262455 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Chelidonium majus L., Chelostoma distinctum (Stoeckhert, 1929))",
 "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 262455 records from 655 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0315107-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57715/unr/bvwfgk/94ce62
title: 6_Diol_monotriflate_side_product.rar

description: Inside this file can be found the raw data of all NMR experiments performed for the compound “Diol monotriflate side product”, organized in folders with the following codes: NMR_1D_1H for the 1H NMR experiment; NMR_1D_13C for the 13C NMR experiment; NMR_2D_COSY for the 2D NMR experiment, COSY; NMR_2D_HSQC_DEPT for the 2D NMR experiment, HSQC-DEPT; NMR_2D_HMBC for the 2D NMR experiment, HMBC; and NMR_1D_19F for the 19F NMR experiment.
DOI: 10.57715/unr/bvwfgk/ccolmg
title: Chemical structure of Huajiaosimuline and Related Natural and Synthetic Pyranoquinolones.tif

description: Inside this image file can be observed the chemical structures of six compounds alkaloid type pyranoquinolone, studied in this dataset: Huajiaosimuline; Epoxyzantosimuline; Simulansine; Diol Side Product; Diol Side Product monoacetate; and Diol Side Product monotriflate.
DOI: 10.57715/unr/bvwfgk/fc0dm2
title: 3_Simulansine.rar

description: Inside this file can be found the raw data of all NMR experiments performed for the compound “Simulansine”, organized in folders with the following codes: NMR_1D_1H for the 1H NMR experiment; NMR_1D_13C for the 13C NMR experiment; NMR_2D_COSY for the 2D NMR experiment, COSY; NMR_2D_HSQC_DEPT for the 2D NMR experiment, HSQC-DEPT; and NMR_2D_HMBC for the 2D NMR experiment, HMBC.
DOI: 10.57715/unr/bvwfgk/hi3ehc
title: 4_Diol_side_product.rar

description: Inside this file can be found the raw data of all NMR experiments performed for the compound “Diol side product”, organized in folders with the following codes: NMR_1D_1H for the 1H NMR experiment; NMR_1D_13C for the 13C NMR experiment; NMR_2D_COSY for the 2D NMR experiment, COSY; NMR_2D_HSQC_DEPT for the 2D NMR experiment, HSQC-DEPT: and NMR_2D_HMBC for the 2D NMR experiment, HMBC.
DOI: 10.57715/unr/bvwfgk/jyuvcu
title: 5_Diol_monoacetate_side_product.rar

description: Inside this file can be found the raw data of all NMR experiments performed for the compound “Diol monoacetate side product”, organized in folders with the following codes: NMR_1D_1H for the 1H NMR experiment; NMR_1D_13C for the 13C NMR experiment; NMR_2D_COSY for the 2D NMR experiment, COSY; NMR_2D_HSQC_DEPT for the 2D NMR experiment, HSQC-DEPT; and NMR_2D_HMBC for the 2D NMR experiment, HMBC.
DOI: 10.57715/unr/bvwfgk/qmu4cl
title: 2_Epoxyzanthosimuline.rar

description: Inside this file can be found the raw data of all NMR experiments performed for the compound “Epoxyzanthosimuline”, organized in folders with the following codes: NMR_1D_1H for the 1H NMR experiment; NMR_1D_13C for the 13C NMR experiment; NMR_2D_COSY for the 2D NMR experiment, COSY; NMR_2D_HSQC_DEPT for the 2D NMR experiment, HSQC-DEPT; and NMR_2D_HMBC for the 2D NMR experiment, HMBC.
DOI: 10.57715/unr/bvwfgk/jjjpmv
title: Readme.txt

description: :unav
DOI: 10.57715/unr/bvwfgk/nbmjrc
title: 1_Huajiaosimuline.rar

description: Inside this file can be found the raw data of all NMR experiments performed for the compound “Huajiaosimuline”, organized in folders with the following codes: NMR_1D_1H for the 1H NMR experiment; NMR_1D_13C for the 13C NMR experiment; NMR_2D_COSY for the 2D NMR experiment, COSY; NMR_2D_HSQC_DEPT for the 2D NMR experiment, HSQC-DEPT; and NMR_2D_HMBC for the 2D NMR experiment, HMBC.
DOI: 10.15468/dl.q4r47r
title: Occurrence Download

description: A dataset containing 48 records in GBIF matching the query:
SELECT datasetKey, license, COUNT(*) AS n FROM occurrence WHERE iucnRedListCategory IN ('NT','VU','EN','CR','EW','EX','LC') AND occurrenceStatus = 'PRESENT' AND countryCode = 'ES' AND "year" &gt;= 1980 AND classKey IN (11592253) AND hasCoordinate = TRUE AND (coordinateUncertaintyInMeters &lt;= 1000 OR coordinateUncertaintyInMeters IS NULL) AND speciesKey IS NOT NULL AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE') AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE') AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID') AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH') AND "month" IS NOT NULL GROUP BY datasetKey, license

 The dataset's 48 records were derived from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036004-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.263ydz
title: Occurrence Download

description: A dataset containing 29152 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-70.44132 -23.71506, -70.3651 -23.71506, -70.3651 -23.53108, -70.44132 -23.53108, -70.44132 -23.71506))",
 "Year is greater than or equal to 2010",
 "HasGeospatialIssue is false",
 "TaxonKey is Aves",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 29152 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036015-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22003/xfel.eu-data-008456-00
title: In-house THz commissioning
DOI: 10.15468/dl.3ma69t
title: Occurrence Download

description: A dataset containing 420604 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-75.65661 5.73893,-75.12202 5.57779,-74.95899 6.12565,-75.50388 6.28492,-75.65661 5.73893))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 420604 records from 336 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036012-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.94pbhq
title: Occurrence Download

description: A dataset containing 21142 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Nymphaea L."
 ]
}

 The dataset includes 21142 records from 550 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036016-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13863870
title: Factors that determine entrepreneurial success: proposal of a conceptual model based on a systematic literature review
DOI: 10.5281/zenodo.13863871
title: Factors that determine entrepreneurial success: proposal of a conceptual model based on a systematic literature review
DOI: 10.6084/m9.figshare.27138828.v2
title: WDCG minute level data processed

description: WDCG minute level data processed (detrended)
DOI: 10.25422/azu.data.19027415
title: Archived Accumulated Growing Degree Average and Anomaly Products (1981-2010 climate normal)

description: Heat accumulation is commonly used as a way of predicting the timing of phenological transitions in plants and animals. The USA National Phenology Network (USA-NPN) hosts a suite of accumulated growing degree day products to serve a number of audiences. In 2022, the USA NPN updated all long-term average and anomaly products in this suite to use the more recent climate normal period (1991-2020).This record contains the archived layers that use the prior normal (1981-2010). The data consists of geotiff rasters with daily accumulated growing degree day values. The "average" files show the daily GDD value averaged across 1981-2010. The "anomaly" files show for each day 2016-2021, the difference between that day's accumulation and the long term average. These products begin accumulation on January 1 and use either a 32F or 50F base temperature.The products using updated normals can be accessed here: Accumulated Growing Degree Days, Continental United States, 2016 - Current Year<i>For inquiries regarding the contents of this dataset, please contact the Corresponding Author listed in the README.txt file. Administrative inquiries (e.g., removal requests, trouble downloading, etc.) can be directed to data-management@arizona.edu</i>
DOI: 10.15468/dl.95q2ca
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Epicharis minima (Friese, 1904)"
 ]
}

 The dataset includes 24 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036018-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25422/azu.data.14270531
title: Accumulated Growing Degree Days, Continental United States, 2016 - Current Year

description: The USA National Phenology Network has available a series of gridded products enabling researchers to analyze daily Accumulated Growing Degree Days (AGDD) from 2016 through the current year, and compare these values to long term averages using the 1991-2020 climate normal period. Heat accumulation is commonly used as a way of predicting the timing of phenological transitions in plants and animals. Products generated by the USA-NPN begin accumulation on January 1 and use either a 32F or 50F base temperature.The data are accessible via the USA-NPN Visualization Tool (https://www.usanpn.org/data/visualizations) and the USA-NPN Geoserver (user access facilitated by the Geoserver Request Builder: https://www.usanpn.org/geoserver-request-builder).<i>For all inquiries regarding this dataset, please contact the USA-NPN. This data is subject to the USA-NPN's </i><i>Data Use Policy.</i>
DOI: 10.25422/azu.data.19027415.v1
title: Archived Accumulated Growing Degree Average and Anomaly Products (1981-2010 climate normal)

description: Heat accumulation is commonly used as a way of predicting the timing of phenological transitions in plants and animals. The USA National Phenology Network (USA-NPN) hosts a suite of accumulated growing degree day products to serve a number of audiences. In 2022, the USA NPN updated all long-term average and anomaly products in this suite to use the more recent climate normal period (1991-2020).This record contains the archived layers that use the prior normal (1981-2010). The data consists of geotiff rasters with daily accumulated growing degree day values. The "average" files show the daily GDD value averaged across 1981-2010. The "anomaly" files show for each day 2016-2021, the difference between that day's accumulation and the long term average. These products begin accumulation on January 1 and use either a 32F or 50F base temperature.The products using updated normals can be accessed here: Accumulated Growing Degree Days, Continental United States, 2016 - Current Year<i>For inquiries regarding the contents of this dataset, please contact the Corresponding Author listed in the README.txt file. Administrative inquiries (e.g., removal requests, trouble downloading, etc.) can be directed to data-management@arizona.edu</i>
DOI: 10.15468/dl.tj8yxh
title: Occurrence Download

description: A dataset containing 2023 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-73.20701 11.33932,-73.2106 11.33342,-73.20283 11.33168,-73.19326 11.33866,-73.19784 11.34483,-73.20701 11.33932))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 2023 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036019-240906103802322/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.27138873
title: Clarion S arrays HBMEC Co vs Monoculture

description: Submitted as "<b>Unraveling the Influence of Astrocytes on Endothelial Cell Transcription: Towards Understanding blood-brain barrier in vitro models’ dynamics</b>"
DOI: 10.15468/dl.7wcc5m
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Epicharis minima (Friese, 1904)"
 ]
}

 The dataset includes 24 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036020-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ngn7ku
title: Occurrence Download

description: A dataset containing 40 records in GBIF matching the query:
SELECT datasetKey, license, COUNT(*) AS n FROM occurrence WHERE iucnRedListCategory IN ('NT','VU','EN','CR','EW','EX','LC') AND occurrenceStatus = 'PRESENT' AND countryCode = 'ES' AND "year" &gt;= 1980 AND classKey IN (11418114) AND hasCoordinate = TRUE AND (coordinateUncertaintyInMeters &lt;= 1000 OR coordinateUncertaintyInMeters IS NULL) AND speciesKey IS NOT NULL AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE') AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE') AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID') AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH') AND "month" IS NOT NULL GROUP BY datasetKey, license

 The dataset's 40 records were derived from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036017-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17608/k6.auckland.27138723
title: Wilson et al 2024 Donor Supplementary data set 1

description: Identifying suitable donors for faecal microbiota transplantation (FMT) is complex, costly, and time-consuming. Here, we present the donor data set for the gut bugs trial. This is published as part of Donor screening outcomes for faecal microbiota transplantation: from recruitment to encapsulation.<br>Brooke C. Wilsona,b,#, Ry Y. Tweedie-Cullena,#, Taygen Edwardsa, Karen S. W. Leonga, Christine Creagha, Marysia Depczynskia, Benjamin B. Alberta,c, José G. B. Derraikd,e, Justin M. O’Sullivana,b,f,g*, & Wayne S. Cutfielda,c,*<br><sup>a</sup> Liggins Institute, University of Auckland, Auckland, New Zealand.<br><sup>b</sup> The Maurice Wilkins Centre, University of Auckland, Auckland, New Zealand.<sup>c</sup> A Better Start – National Science Challenge, University of Auckland, Auckland, New Zealand.<br><sup>d</sup> Department of Paediatrics: Child & Youth Health, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand<sup>e</sup> Environmental-Occupational Health Sciences and Non-Communicable Diseases Research Group, Research Institute for Health Sciences, Chiang Mai University, Chiang Mai, Thailand<sup>f</sup> MRC Lifecourse Epidemiology Unit, University of Southampton, University Road, Southampton, UK<sup>g </sup>Singapore Institute for Clinical Sciences, Agency for Science Technology and Research, Singapore<br><br><sup>#</sup>These authors contributed equally (co-primary).<br><br>
DOI: 10.17608/k6.auckland.27138723.v1
title: Wilson et al 2024 Donor Supplementary data set 1

description: Identifying suitable donors for faecal microbiota transplantation (FMT) is complex, costly, and time-consuming. Here, we present the donor data set for the gut bugs trial. This is published as part of Donor screening outcomes for faecal microbiota transplantation: from recruitment to encapsulation.<br>Brooke C. Wilsona,b,#, Ry Y. Tweedie-Cullena,#, Taygen Edwardsa, Karen S. W. Leonga, Christine Creagha, Marysia Depczynskia, Benjamin B. Alberta,c, José G. B. Derraikd,e, Justin M. O’Sullivana,b,f,g*, & Wayne S. Cutfielda,c,*<br><sup>a</sup> Liggins Institute, University of Auckland, Auckland, New Zealand.<br><sup>b</sup> The Maurice Wilkins Centre, University of Auckland, Auckland, New Zealand.<sup>c</sup> A Better Start – National Science Challenge, University of Auckland, Auckland, New Zealand.<br><sup>d</sup> Department of Paediatrics: Child & Youth Health, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand<sup>e</sup> Environmental-Occupational Health Sciences and Non-Communicable Diseases Research Group, Research Institute for Health Sciences, Chiang Mai University, Chiang Mai, Thailand<sup>f</sup> MRC Lifecourse Epidemiology Unit, University of Southampton, University Road, Southampton, UK<sup>g </sup>Singapore Institute for Clinical Sciences, Agency for Science Technology and Research, Singapore<br><br><sup>#</sup>These authors contributed equally (co-primary).<br><br>
DOI: 10.17608/k6.auckland.27138795
title: Wilson et al 2024 Donor Supplementary data set 2

description: Identifying suitable donors for faecal microbiota transplantation (FMT) is complex, costly, and time-consuming. Here, we present the donor data set for the gut bugs trial. This is published as part of Donor screening outcomes for faecal microbiota transplantation: from recruitment to encapsulation.<br>Brooke C. Wilsona,b,#, Ry Y. Tweedie-Cullena,#, Taygen Edwardsa, Karen S. W. Leonga, Christine Creagha, Marysia Depczynskia, Benjamin B. Alberta,c, José G. B. Derraikd,e, Justin M. O’Sullivana,b,f,g*, & Wayne S. Cutfielda,c,*<br><sup>a</sup> Liggins Institute, University of Auckland, Auckland, New Zealand.<br><sup>b</sup> The Maurice Wilkins Centre, University of Auckland, Auckland, New Zealand.<sup>c</sup> A Better Start – National Science Challenge, University of Auckland, Auckland, New Zealand.<br><sup>d</sup> Department of Paediatrics: Child & Youth Health, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand<sup>e</sup> Environmental-Occupational Health Sciences and Non-Communicable Diseases Research Group, Research Institute for Health Sciences, Chiang Mai University, Chiang Mai, Thailand<sup>f</sup> MRC Lifecourse Epidemiology Unit, University of Southampton, University Road, Southampton, UK<sup>g </sup>Singapore Institute for Clinical Sciences, Agency for Science Technology and Research, Singapore<br><br><sup>#</sup>These authors contributed equally (co-primary).<br>
DOI: 10.17608/k6.auckland.27138795.v1
title: Wilson et al 2024 Donor Supplementary data set 2

description: Identifying suitable donors for faecal microbiota transplantation (FMT) is complex, costly, and time-consuming. Here, we present the donor data set for the gut bugs trial. This is published as part of Donor screening outcomes for faecal microbiota transplantation: from recruitment to encapsulation.<br>Brooke C. Wilsona,b,#, Ry Y. Tweedie-Cullena,#, Taygen Edwardsa, Karen S. W. Leonga, Christine Creagha, Marysia Depczynskia, Benjamin B. Alberta,c, José G. B. Derraikd,e, Justin M. O’Sullivana,b,f,g*, & Wayne S. Cutfielda,c,*<br><sup>a</sup> Liggins Institute, University of Auckland, Auckland, New Zealand.<br><sup>b</sup> The Maurice Wilkins Centre, University of Auckland, Auckland, New Zealand.<sup>c</sup> A Better Start – National Science Challenge, University of Auckland, Auckland, New Zealand.<br><sup>d</sup> Department of Paediatrics: Child & Youth Health, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand<sup>e</sup> Environmental-Occupational Health Sciences and Non-Communicable Diseases Research Group, Research Institute for Health Sciences, Chiang Mai University, Chiang Mai, Thailand<sup>f</sup> MRC Lifecourse Epidemiology Unit, University of Southampton, University Road, Southampton, UK<sup>g </sup>Singapore Institute for Clinical Sciences, Agency for Science Technology and Research, Singapore<br><br><sup>#</sup>These authors contributed equally (co-primary).<br>