cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14458/utcc.the.2008.15
title: การศึกษาความสัมพันธ์ระหว่างการแลกเปลี่ยนเงินบาทต่อเงินดอลล์ลาร์สหรัฐฯกับมูลค่าการส่งออกเครื่องนุ่งห่มของประเทศไทย

description: การศึกษาวิจัยเรื่อง "การศึกษาความสัมพันธ์ระหว่างการแลกเปลี่ยนเงินบาทต่อเงินดอลล์ลาร์สหรัฐฯกับมูลค่าการส่งออกเครื่องนุ่งห่มของประเทศไทย " มีวิธีการดำเนินการศึกษา โดยเก็บข้อมูลทุติยภูมิเป็นรายเดือน จากแหล่งข้อมูลการทำงานของะนาคารแห่งประเทศไทย(ข้อมูลอัตตราการแลกเปลี่ยน)และเว็บไซต์กระทรวงพาณิชย์(ข้อมูลมูลค่าการส่งออก) ตั้งแต่เดือน มกราคม 2541 ถึง ธันวาคม 2550 รวมทั้งสิ้น 120 ข้อมูลเป็นระยะเวลา 10 ปี มีวัตถุประสงค์ เพื่อการรศึกษาความสัมพันธ์ระหว่างการแลกเปลี่ยนเงินบาทต่อเงินดอลล์ลาร์สหรัฐฯกับมูลค่าการส่งออกเครื่องนุ่งห่มของประเทศไทย โดยทดสอบจากความนิ่งของข้อมูลด้วยวิธีการ Unit Root Test และ โครีโลแกรม แล้วได้ผลว่าอัตราชุดแลกเปลี่ยนมีความนิ่งแตกต่างอับดับที่ 1 (1 different) และชุดข้อมูลการส่งออกสินค้าเครื่องนุ่งห่มนั้นมีระดับความนิ่งของข้อมูลที่ระดับปกติ จึงทำการหาตวามสัมพันธ์ของข้อมูลที่มีข้อมูลการทอสอบความนิ่งมาแล้วนั้น ด้วยวิธี Granger Causality จากการศึกษาพบว่า ในการทดสอบที่ LAGS 7 มูลค้าการส่งออกเครื่องนุ่งห่ม (VAL) มีความสัมพันธ์ระหว่างการแลกเปลี่ยนเงินบาทต่อเงินดอลล์ลาร์สหรัฐฯ (D(EXC)) จึงสรุปได้ว่า การเปลี่ยนแปลงของมูลค่าการส่งออกเครื่องนุ่งห่มของประเทศไทยเป็นปัจจัยหนึ่งในหลายปัจจัยที่มีผลทำให้การแลกเปลี่ยนเงินบาทต่อเงินดอลล์ลาร์สหรัฐฯมีการเปลี่ยนแปลง
DOI: 10.14458/utcc.the.2005.15
title: พฤติกรรมการใช้บัตรเครดิตที่มิใช่สถาบันการเงินในเขตกรุงเทพมหานคร [ซีดี-รอม]
DOI: 10.15468/dl.37xauu
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Macdonaldia longa"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034200-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.14458/utcc.the.2010.28
title: ปัจจัยที่มีผลต่อดัชนีราคาหลักทรัพย์หมวดพาณิชย์

description: การศึกษาปัจจัยที่มีผลต่อดัชนีราคาหลักทรัพย์หมวดพาณิชย์ มีวัตถุประสงค์เพื่อศึกษาปัจจัยที่มีผลต่อดัชนีราคาหลักทรัพย์หมวดพาณิชย์ โดยปัจจัยที่นามาศึกษา คือ ดัชนีราคาหุ้นตลาดหลักทรัพย์แห่งประเทศไทย ดัชนีมูลค่าค้าปลีกทั่วประเทศ อัตราเงินเฟ้อ อัตราดอกเบี้ยเงินฝากประจา 3 เดือน และดัชนีความเชื่อมั่นผู้บริโภค ซึ่งใช้ข้อมูลแบบทุติยภูมิ (Secondary Data) รายเดือนตั้งแต่เดือนมกราคม พ.ศ. 2548 ถึงเดือนมิถุนายน พ.ศ. 2553 โดยวิธีการสร้างสมการถดถอยเชิงซ้อน (Multiple Linear Regression)จากการศึกษาพบว่า ปัจจัยที่มีผลต่อดัชนีราคาหลักทรัพย์หมวดพาณิชย์ ณ ระดับความเชื่อมั่นร้อยละ 99 ได้แก่ ดัชนีราคาหุ้นตลาดหลักทรัพย์แห่งประเทศไทย และดัชนีมูลค่าค้าปลีกทั่วประเทศ และมีทิศทางความสัมพันธ์เป็นไปตามสมมติฐานที่ตั้งไว้ ส่วนปัจจัยที่ไม่ส่งผลต่อดัชนีราคาหลักทรัพย์หมวดพาณิชย์ คือ อัตราเงินเฟ้อ อัตราดอกเบี้ยเงินฝากประจำ 3 เดือน และดัชนีความเชื่อมั่นผู้บริโภค
DOI: 10.14458/utcc.the.2000.4
title: การวิเคราะห์พฤติกรรมผู้บริโภคในการเช่าวีดีโอซีดีของคนในเขตกรุงเทพมหานคร กรณีศึกษาร้านโชว์ไทม์
DOI: 10.15468/dl.j68wpx
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Gliciphila melanops)",
 "Country is one of (Algeria, Angola, Benin, Botswana, British Indian Ocean Territory, Burkina Faso, Burundi, Cabo Verde, Cameroon, Central African Republic, Chad, Comoros, Congo, Congo, Democratic Republic of the, Côte d’Ivoire, Djibouti, Egypt, Equatorial Guinea, Eritrea, Eswatini, Ethiopia, French Southern Territories, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia, Libya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mayotte, Morocco, Mozambique, Namibia, Niger, Nigeria, Réunion, Rwanda, Saint Helena, Ascension and Tristan da Cunha, Sao Tome and Principe, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, South Sudan, Sudan, Tanzania, United Republic of, Togo, Tunisia, Uganda, Western Sahara, Zambia, Zimbabwe)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034203-250802193616735/datasets/export for details.
DOI: 10.15468/dl.ddpke9
title: Occurrence Download

description: A dataset containing 27675 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Gliciphila melanops)",
 "Country is one of (American Samoa, Australia, Christmas Island, Cocos (Keeling) Islands, Cook Islands, Fiji, French Polynesia, Guam, Heard Island and McDonald Islands, Kiribati, Marshall Islands, Micronesia (Federated States of), Nauru, New Caledonia, New Zealand, Niue, Norfolk Island, Northern Mariana Islands, Palau, Papua New Guinea, Pitcairn, Samoa, Solomon Islands, Tokelau, Tonga, Tuvalu, United States Minor Outlying Islands, Vanuatu, Wallis and Futuna)"
 ]
}

 The dataset includes 27675 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034202-250802193616735/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.29875586
title: Phytosterols ameliorate high-fat diet-induced sarcopenic obesity via intestinal microbiota reshaping

description: This dataset contains the raw 16S rRNA sequencing data from our study investigating the effects of phytosterols (PS) on high-fat diet-induced sarcopenic obesity in a rat model. The experiment involved treating rats with oral PS administration for 12 weeks, with comprehensive analysis of gut microbiota composition as a key component of the research.<br>The sequencing data includes all raw reads from fecal samples collected from control rats, high-fat diet (HFD) fed rats, and HFD+PS treated rats. The gut microbiota profiles were analyzed to identify taxonomic composition and relative abundance at phylum, family, and genus levels.<br>
DOI: 10.6084/m9.figshare.29875586.v1
title: Phytosterols ameliorate high-fat diet-induced sarcopenic obesity via intestinal microbiota reshaping

description: This dataset contains the raw 16S rRNA sequencing data from our study investigating the effects of phytosterols (PS) on high-fat diet-induced sarcopenic obesity in a rat model. The experiment involved treating rats with oral PS administration for 12 weeks, with comprehensive analysis of gut microbiota composition as a key component of the research.<br>The sequencing data includes all raw reads from fecal samples collected from control rats, high-fat diet (HFD) fed rats, and HFD+PS treated rats. The gut microbiota profiles were analyzed to identify taxonomic composition and relative abundance at phylum, family, and genus levels.<br>
DOI: 10.15468/dl.ear3ne
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Gliciphila melanops)",
 "Country is one of (Åland Islands, Albania, Andorra, Austria, Belarus, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Czechia, Denmark, Estonia, Faroe Islands, Finland, France, Germany, Gibraltar, Greece, Guernsey, Holy See, Hungary, Iceland, Ireland, Isle of Man, Italy, Jersey, Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Moldova, Republic of, Monaco, Montenegro, Netherlands, North Macedonia, Norway, Poland, Portugal, Romania, Russian Federation, San Marino, Serbia, Slovakia, Slovenia, Spain, Svalbard and Jan Mayen, Sweden, Switzerland, Ukraine, United Kingdom of Great Britain and Northern Ireland)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034204-250802193616735/datasets/export for details.
DOI: 10.15468/dl.vj36gq
title: Occurrence Download

description: A dataset listing the 3 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aubregrinia taiensis"
 ]
}

 The dataset's 3 records were derived from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034188-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r8avqy
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Notacanthus challengeri"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034205-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6yg87x
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Calyptorhynchus lathami)",
 "Country is one of (Anguilla, Antigua and Barbuda, Argentina, Aruba, Bahamas, Barbados, Belize, Bolivia (Plurinational State of), Bonaire, Sint Eustatius and Saba, Bouvet Island, Brazil, Cayman Islands, Chile, Colombia, Costa Rica, Cuba, Curaçao, Dominica, Dominican Republic, Ecuador, El Salvador, Falkland Islands (Malvinas), French Guiana, Grenada, Guadeloupe, Guatemala, Guyana, Haiti, Honduras, Jamaica, Martinique, Mexico, Montserrat, Nicaragua, Panama, Paraguay, Peru, Puerto Rico, Saint Barthélemy, Saint Kitts and Nevis, Saint Lucia, Saint Martin (French part), Saint Vincent and the Grenadines, Sint Maarten (Dutch part), South Georgia and the South Sandwich Islands, Suriname, Trinidad and Tobago, Turks and Caicos Islands, Uruguay, Venezuela (Bolivarian Republic of), Virgin Islands (British), Virgin Islands (U.S.))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034208-250802193616735/datasets/export for details.
DOI: 10.15468/dl.zbqe5j
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Calyptorhynchus lathami)",
 "Country is one of (Bermuda, Canada, Greenland, Saint Pierre and Miquelon, United States of America)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034206-250802193616735/datasets/export for details.
DOI: 10.15468/dl.hgdbg8
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Calyptorhynchus lathami)",
 "Country is one of (Afghanistan, Armenia, Azerbaijan, Bahrain, Bangladesh, Bhutan, Brunei Darussalam, Cambodia, China, Cyprus, Georgia, Hong Kong, India, Indonesia, Iran (Islamic Republic of), Iraq, Israel, Japan, Jordan, Kazakhstan, Korea (Democratic People’s Republic of), Korea, Republic of, Kuwait, Kyrgyzstan, Lao People’s Democratic Republic, Lebanon, Macao, Malaysia, Maldives, Mongolia, Myanmar, Nepal, Oman, Pakistan, Palestine, State of, Philippines, Qatar, Saudi Arabia, Singapore, Sri Lanka, Syrian Arab Republic, Tajikistan, Thailand, Timor-Leste, Türkiye, Turkmenistan, United Arab Emirates, Uzbekistan, Viet Nam, Yemen)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034207-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qfxxr6
title: Occurrence Download

description: A dataset containing 338 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Polyacanthonotus rissoanus"
 ]
}

 The dataset includes 338 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034209-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4ddavd
title: Occurrence Download

description: A dataset containing 13 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 (CAST(occurrence.taxonkey AS INTEGER) = 2886337 OR CAST(occurrence.acceptedtaxonkey AS INTEGER) = 2886337 OR CAST(occurrence.kingdomkey AS INTEGER) = 2886337 OR CAST(occurrence.phylumkey AS INTEGER) = 2886337 OR CAST(occurrence.classkey AS INTEGER) = 2886337 OR CAST(occurrence.orderkey AS INTEGER) = 2886337 OR CAST(occurrence.familykey AS INTEGER) = 2886337 OR CAST(occurrence.genuskey AS INTEGER) = 2886337 OR CAST(occurrence.specieskey AS INTEGER) = 2886337)
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year"

 The dataset's 13 records were derived from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034194-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fxmxw3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Calyptorhynchus lathami)",
 "Country is one of (Åland Islands, Albania, Andorra, Austria, Belarus, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Czechia, Denmark, Estonia, Faroe Islands, Finland, France, Germany, Gibraltar, Greece, Guernsey, Holy See, Hungary, Iceland, Ireland, Isle of Man, Italy, Jersey, Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Moldova, Republic of, Monaco, Montenegro, Netherlands, North Macedonia, Norway, Poland, Portugal, Romania, Russian Federation, San Marino, Serbia, Slovakia, Slovenia, Spain, Svalbard and Jan Mayen, Sweden, Switzerland, Ukraine, United Kingdom of Great Britain and Northern Ireland)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034211-250802193616735/datasets/export for details.
DOI: 10.15468/dl.uy5xfy
title: Occurrence Download

description: A dataset containing 75 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-1000.0",
 "TaxonKey is Callosobruchus maculatus",
 "Year 1980-2025"
 ]
}

 The dataset includes 75 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034212-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k4dy9x
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Calyptorhynchus lathami)",
 "Country is one of (Algeria, Angola, Benin, Botswana, British Indian Ocean Territory, Burkina Faso, Burundi, Cabo Verde, Cameroon, Central African Republic, Chad, Comoros, Congo, Congo, Democratic Republic of the, Côte d’Ivoire, Djibouti, Egypt, Equatorial Guinea, Eritrea, Eswatini, Ethiopia, French Southern Territories, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia, Libya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mayotte, Morocco, Mozambique, Namibia, Niger, Nigeria, Réunion, Rwanda, Saint Helena, Ascension and Tristan da Cunha, Sao Tome and Principe, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, South Sudan, Sudan, Tanzania, United Republic of, Togo, Tunisia, Uganda, Western Sahara, Zambia, Zimbabwe)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034210-250802193616735/datasets/export for details.
DOI: 10.15468/dl.ex8yhn
title: Occurrence Download

description: A dataset containing 25704 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is China",
 "DatasetKey is one of (iNaturalist Research-grade Observations, EOD – eBird Observation Dataset)",
 "GadmGid is CHN.8_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 25704 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034214-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w9yryc
title: Occurrence Download

description: A dataset containing 51836 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 "year",
 countrycode countrycode,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.continent = 'EUROPE'
 AND LOWER(occurrence.iucnredlistcategory) IN (LOWER('NT'), LOWER('VU'), LOWER('EN'), LOWER('CR'), LOWER('EW'), LOWER('EX'))
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (occurrence."year" &gt;= 2013 AND occurrence."year" &lt;= 2025)
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND (occurrence.genuskey IS NOT NULL AND occurrence."year" IS NOT NULL AND occurrence.hascoordinate = TRUE)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence."year",
 occurrence.countrycode

 The dataset's 51836 records were derived from 12329 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034192-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xx3csc
title: Occurrence Download

description: A dataset containing 18302 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Year is greater than or equal to 1981",
 "Year is less than or equal to 2010",
 "HasCoordinate is true",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "VerbatimScientificName is Oxalis acetosella",
 "BasisOfRecord is Human Observation",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 18302 records from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001468-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25375/uct.28925711
title: Code and data for "Emerging topics and new directions in statistical ecology"

description: The dataset and accompanying R code provided in the R Markdown file linked to the following manuscript submitted for review: Altwegg et al. <i>"Emerging topics and new directions in statistical ecology"</i><i>.</i><b>Abstract of linked material:</b>Ecological science relies on robust estimates of the abundance, diversity, and spatial distribution of individuals and species, but these quantities are notoriously difficult to observe directly. Data collected on these quantities not only reflect the ecological processes giving rise to them but also the observation process, which is often biased by factors such as uneven sampling effort or imperfect detection. Furthermore, collecting data according to standard sampling designs is often not possible. Statistical ecology as a research field specialises in developing statistical methods for analysing such complex ecological data. Here, we apply text analysis tools to the abstracts submitted to eight International Statistical Ecology Conferences between 2008 and 2022 to guide a review of recent topics in statistical ecology. Results show that estimating various aspects of demography (including survival, recruitment, abundance, density and movement) and spatial distribution remains a key area of research. The field has benefited from and embraced new data collection methods such as automated recorders and rapidly developing remote sensing techniques. How to integrate data from different sources is a central challenge that spans multiple areas of statistical ecology. The statistical ecology community strives to be inclusive. It also promotes robust data analysis strategies that underpin reproducible research and transparent conservation decisions. With the increasing pressure of human society on nature, we feel statistical ecology is becoming an ever more important research field. <b>Files:</b>Data_Altwegg_et_al_JSTP_2025.csvData_Altwegg_et_al_JSTP_2025.rmd
DOI: 10.15468/dl.rgfjn8
title: Occurrence Download

description: A dataset containing 39192 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (Asia, Europe)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Galinsoga parviflora Cav.",
 "Year 1980-2025"
 ]
}

 The dataset includes 39192 records from 425 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017454-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.