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

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007313-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8wbfxf
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007263-171219132708484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.duefps
title: Occurrence Download

description: A dataset containing 702829879 species occurrences available in GBIF matching the query:
{ }

 The dataset includes 702829879 records from 14982 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046159-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.14457/tu.the.2025.105
title: The impact of federal fund rate changes on Thai stock market volatility: a time series based on clustering approach

description: As global financial markets become more connected, changes in U.S. monetary policy—particularly in the Federal Funds Rate—can have significant effects on economies like Thailand. This study explores how such policy changes influence volatility in the Thai stock market by applying a time-series clustering framework that integrates financial econometric modeling with unsupervised learning techniques. Focusing on 126 companies listed on the Stock Exchange of Thailand (SET), across 8 industry groups and 28 business sectors (excluding the suspended Mining sector), we aim to identify volatility patterns and sectoral sensitivities over different interest rate regimes. To overcome the limitations of traditional clustering on noisy, non-stationary financial data, we employ the ECCV (Enhanced Clustering using Conditional Volatility) framework. This approach extracts conditional volatility (CV) using a two-stage process: first, ARIMA models remove trends and seasonality; then, GARCH models estimate volatility from the residuals. These CV features serve as robust representations for clustering algorithms such as KMeans, Agglomerative, and neural network-based methods. For the real-world application, we utilize KDBA (K-means with DTW Barycenter Averaging) to account for temporal misalignments in financial time series. The research comprises two parts: (1) a benchmark study using 40 labeled datasets to assess the effectiveness of CV-based clustering across diverse scenarios, and (2) a real-world application analyzing how Thai stocks respond to changes in the U.S. Federal Funds Rate. Our results show that incorporating CV significantly enhances clustering performance, yielding clearer groupings and more interpretable insights than raw-data approaches. These findings underscore the value of volatility-aware techniques in understanding financial market dynamics and support more informed decision-making in the face of global monetary shifts.
DOI: 10.14457/tu.the.2025.107
title: การทำนายปริมาณการใช้หลอดบรรจุภัณฑ์พร้อมจุกของชิปไอซีด้วยเทคนิคการวิเคราะห์แบบอนุกรมเวลาแบบรายเดือน

description: งานวิจัยนี้จึงมีวัตถุประสงค์เพื่อพัฒนาและเปรียบเทียบประสิทธิภาพของเทคนิคการทำนายปริมาณการใช้งานวัสดุบรรจุภัณฑ์ โดยใช้เทคนิคอนุกรมเวลา (Time Series) ได้แก่ ARIMA, SMA, WMA และ SES ทดลองกับข้อมูลประวัติการเบิกใช้งานในช่วงปี 2562 - 2566 โดยผลการวิจัยพบว่า เทคนิคที่เหมาะสมที่สุดจะขึ้นอยู่กับลักษณะของข้อมูล กล่าวคือ กรณีที่ข้อมูลมีความสม่ำเสมอ ไม่ผันผวน และไม่มีแนวโน้มที่ชัดเจน เทคนิค SES ที่ใช้ค่า alpha ในระดับปานกลาง เช่น 0.4 จะให้ผลลัพธ์ที่แม่นยำและสมดุลที่สุด หากข้อมูลมีการเปลี่ยนแปลงช้าและค่อยเป็นค่อยไป ค่า alpha ที่ต่ำ เช่น 0.2 จะเหมาะสมกว่า เนื่องจากช่วยให้แบบจำลองไม่ตอบสนองต่อการเปลี่ยนแปลงเล็กน้อยมากเกินไป ขณะที่ข้อมูลที่มีแนวโน้มเปลี่ยนแปลงเร็ว หรือมีความผันผวนปานกลาง ค่า alpha ที่สูงขึ้น เช่น 0.6 จะทำให้โมเดลสามารถติดตามแนวโน้มล่าสุดได้อย่างแม่นยำยิ่งขึ้นในกรณีที่ข้อมูลไม่มีแนวโน้มแน่นอนและมีความผันผวนตามช่วงเวลา เทคนิค WMA โดยเฉพาะเมื่อใช้ช่วงเวลา 9 เดือนย้อนหลัง (WMA-9) ให้ผลลัพธ์ดีกว่า เนื่องจากสามารถให้น้ำหนักกับข้อมูลล่าสุดมากกว่า ลดอิทธิพลของข้อมูลเก่าที่อาจไม่สอดคล้องกับแนวโน้มปัจจุบันสรุปได้ว่า ลักษณะของข้อมูลเป็นปัจจัยสำคัญในการเลือกใช้เทคนิคการวิเคราะห์อนุกรมเวลา โดยไม่มีเทคนิคใดที่เหมาะสมกับข้อมูลทุกประเภท การเลือกใช้เทคนิคและการตั้งค่าพารามิเตอร์ให้สอดคล้องกับรูปแบบของข้อมูลจะช่วยเพิ่มความแม่นยำในการพยากรณ์ และสามารถนำไปใช้สนับสนุนการวางแผนคำสั่งซื้อวัสดุได้อย่างมีประสิทธิภาพ ลดความเสี่ยงจากการสั่งซื้อเกินความจำเป็นหรือขาดแคลนวัสดุในช่วงเวลาสำคัญ
DOI: 10.14457/tu.the.2025.108
title: การศึกษาอิทธิพลของต้นไม้ริมเส้นทางสัญจรในการลดปริมาณฝุ่นละอองขนาดเล็ก PM2.5: กรณีศึกษาชุมชนเมืองสมุทรปราการ

description: การวิจัยครั้งนี้มีวัตถุประสงค์เพื่อศึกษาอิทธิพลของต้นไม้ริมถนน (Urban Street Tree) ต่อปริมาณฝุ่นละอองขนาดเล็ก PM2.5 และ PM10 และเพื่อศึกษาประสิทธิภาพการดักจับฝุ่นละอองของไม้ยืนต้น บริเวณริมทางสัญจร โดยทำการเก็บรวบรวมข้อมูลภาคสนามบนถนนสายหลัก 2 เส้นทางในเขตเมืองนครสมุทรปราการ ได้แก่ ถนนสุขุมวิท และถนนสายลวด ซึ่งแต่ละเส้นทางประกอบด้วยบริเวณที่มีต้นไม้ ริมทางและบริเวณที่ไม่มีต้นไม้ ผลการวิจัย พบว่า ต้นไม้ริมถนน มีบทบาทสำคัญในการปรับปรุงคุณภาพอากาศในเขตเมือง โดยการลดความเข้มข้นของฝุ่นละออง PM2.5 และ PM10 ความเข้มข้นของฝุ่นละอองโดยรวมต่ำที่สุดบริเวณใต้ต้นไม้ (BTC) และแนวโน้มความเข้มข้นของฝุ่นละออง PM2.5 และ PM10 สูงสุดในช่วงเวลาเร่งด่วนยามเช้า (07.00-09.00 น.) ในทุกจุดเก็บตัวอย่าง จากการวิเคราะห์ความแปรปรวน (One-way ANOVA) และการทดสอบ LSD พบว่าอิทธิพลต่อฝุ่นละอองและสภาพภูมิอากาศ: ต้นไม้มีอิทธิพลอย่างมีนัยสำคัญต่อความเข้มข้นของฝุ่นละอองถนนสุขุมวิท พบความเข้มข้นของ PM2.5 และ PM10 มีความแตกต่างกันอย่างมีนัยสำคัญทางสถิติระหว่างบริเวณใต้ต้นไม้กับพื้นที่ที่ไม่มีต้นไม้ ถนนสายลวดพบความเข้มข้นของ PM2.5 และ PM10 มีความแตกต่างกันอย่างมีนัยสำคัญทางสถิติ ระหว่างบริเวณใต้ต้นไม้กับพื้นที่ที่ไม่มีต้นไม้ทั้งสองเส้นทาง ต้นไม้สามารถลดอุณหภูมิอากาศและความเร็วลมได้อย่างมีนัยสำคัญทางสถิติ (p &lt; 0.001) เมื่อเทียบกับบริเวณที่ไม่มีต้นไม้ โดยความเร็วลมลดลงถึงร้อยละ 17.7 ใต้ต้นไม้ ต้นไม้มีประสิทธิภาพในการลดฝุ่น PM10 ได้ดีกว่า PM2.5 โดยสามารถลดความเข้มข้นของฝุ่นละอองขนาดเล็กลงได้ถึง 11% ในช่วงบางเวลาประสิทธิภาพการดักจับฝุ่นของพันธุ์ไม้: ผลการวิเคราะห์แสดงให้เห็นว่าปริมาณฝุ่นละอองที่สะสมบนผิวใบมีความแตกต่างกันอย่างมีนัยสำคัญทางสถิติ (p &lt; 0.001) ต้นหมาก (Areca catechu) สามารถดักจับฝุ่นละอองได้ค่าเฉลี่ยสูงสุด 145 µg/cm² โดยค่าการสะสมฝุ่นบนใบสูงกว่าพันธุ์ไม้อื่นอย่างมีนัยสำคัญทางสถิติ
DOI: 10.14457/tu.the.2025.109
title: A data-oriented ontology generation using Thai semi-structured data

description: An ontology is a commonly used knowledge base for representation of domain knowledge. Developing a knowledge representing ontology is a tedious and difficult task since it requires expertise in both domain knowledge and knowledge engineering, but the developed ontologies are useful to provide ground-truth for an intelligent system to comprehend real-world knowledge in terms of schematized network of concepts in a domain and instances within the given schema. This work thus aims to assist an ontology development and instance extraction from Thai semi-structured data. The proposed method focuses on finding the pattern of collocated Thai text and generate a collocation tree of words in sequence. The patterns then are analysed for sharing words and unique words. The sharing word sequences are considered as templates while the unique words which are possibly varied from instances are kept as variables. For forming into an ontology, the obtained templates are transformed into ontological properties indicating attributive relations of concepts, and the variables are considered for the value of each relation to the given individuals. With the properties, triple forms of concept relations are converted into an RDF/OWL for ontology standard format usable in applications for a task of querying and reasoning. For testing, the medicine domain data about drug instruction are applied to generate the ontology and extract the instances. From the experimental results, the generated ontology and its instances obtained the acceptable evaluations from domain experts. The ontology as knowledge base for querying shows that it can provide high precision and recall, but some results show incorrect results due to ambiguity from the source data. Upon error analysis, it is recognised that text data play the crucial role for ontology quality as the natural text data cause the misleading and the data may not provide necessary domain knowledge for representing full knowledge in a domain. Last, the extracted instances from the method are well-received for reducing the burden of matching useful property details among text to the given schema.
DOI: 10.14457/tu.the.2025.110
title: Rational design and molecular dynamics study of LipL32-targeting DNA aptamers for diagnostic applications

description: Leptospirosis is an infectious disease caused by pathogenic Leptospira spp., to mitigate severe outcomes, early detection is needed. DNA aptamers (LepDapt) targeting LipL32, the most abundant outer membrane protein in pathogenic Leptospira, were developed to enable early detection. Among the identified candidates, LepDapt-5a exhibited the strongest binding affinity, attributed to its stable G-quadruplex (G4) structure, enhanced by adjacent double-helix regions that increase the interaction surface with LipL32. Molecular dynamics (MD) simulations, using AMBER ff14SB and OL15 force fields for protein and nucleic acids, respectively, show that LepDapt-5 aptamers family forms a stable G-quadruplex (G4) structure. Analysis of per-residue binding energy via MM/PBSA of LepDapt-5a…LipL32 complex highlights the significant roles of G7, T19, and G24 in target interaction. To assess the impact of these residues, we introduced single-point mutation at these positions to their complementary base pair and denoted them as G7C, T19A, and G24C, respectively. AlphaFold3-predicted 3D structure of these aptamers were then docked to LipL32 via HADDOCK2.4 webserver, followed by MD simulations. While the mutants preserved G-quadruplex structure integrity, they altered the binding mechanism of LepDapt-5a. G7C shifted the dominant interaction from G-quadruplex to the adjacent double helix, G24 mutation enhanced binding by disrupting the double helix structure into head and tail subunits, while T19A weakened affinity despite maintaining helical structure. The binding free energy (ΔG) of LepDapt-5a, computed via the MM/PBSA method, was estimated to be -14.99 ± 12.80 kcal/mol. This value is consistent with experimental data of dissociation constants (Kd) of 33.97 ± 5.30 nM. ELASA experiments confirmed the binding trend: G24C &gt; WT ≈ G7C &gt; T19A, validating the non-equilibrium alchemical predictions. These findings elucidate the structural basis of aptamer-LipL32 interactions, highlighting the role of not just G-quadruplex but also the adjacent units in optimizing binding affinity. This work informs the design of next-generation aptamers for rapid and specific Leptospira detection, addressing critical diagnostic challenges.
DOI: 10.15468/dl.xubv6c
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Stanleya amplexifolia Nutt."
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055451-220831081235567/datasets/export for details.
DOI: 10.15468/dl.3xnv7n
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Material citation, Specimen, Fossil, Living Specimen, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Rhodiola tangutica (Maxim.) S.H.Fu"
 ]
}

 The dataset includes 28 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035212-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tzpe7c
title: Occurrence Download

description: A dataset containing 210 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Continent is North America",
 "OccurrenceStatus is Present",
 "TaxonKey is Cephalanthera austiniae (A.Gray) A.Heller"
 ]
}

 The dataset includes 210 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0097914-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ycqm26
title: Occurrence Download

description: A dataset containing 6469 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "TaxonKey is Ailanthus Desf."
 ]
}

 The dataset includes 6469 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0121717-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2m9pqz
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gaidropsarus capensis (Kaup, 1858)"
 ]
}

 The dataset includes 44 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035191-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jc3p3e
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sisymbrium spathulifolium A.Gray"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055464-220831081235567/datasets/export for details.
DOI: 10.15468/dl.pbrd3v
title: Occurrence Download

description: A dataset containing 73821 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "MediaType is Image",
 "HasCoordinate is false",
 "HasGeospatialIssue is false",
 "FamilyKey is Viburnaceae"
 ]
}

 The dataset includes 73821 records from 223 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065881-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n6gwpa
title: Occurrence Download

description: A dataset containing 263 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Geometry POLYGON((111.05 22.36,112.52 22.36,112.52 23.32,111.05 23.32,111.05 22.36))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 2000-2022"
 ]
}

 The dataset includes 263 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027080-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rrhtb8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Arabis petiolata M.Bieb."
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055469-220831081235567/datasets/export for details.
DOI: 10.15468/dl.kdqxs8
title: Occurrence Download

description: A dataset containing 501 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Asterorhombus intermedius (Bleeker, 1865)"
 ]
}

 The dataset includes 501 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035192-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wa6dwq
title: Occurrence Download

description: A dataset containing 6053 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gopherus agassizii (Cooper, 1861)"
 ]
}

 The dataset includes 6053 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055467-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5ytmuu
title: Occurrence Download

description: A dataset containing 36515 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Taxon occurrence data for the FungalRoot database"
 ]
}

 The dataset includes 36515 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027212-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.24m5cy
title: Occurrence Download

description: A dataset containing 69 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Takifugu exascurus (Jordan & Snyder, 1901)"
 ]
}

 The dataset includes 69 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035213-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8cqvqa
title: Occurrence Download

description: A dataset containing 153940 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dactylorhiza fuchsii (Druce) Soó",
 "HasCoordinate is true"
 ]
}

 The dataset includes 153940 records from 437 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075294-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g49322
title: Occurrence Download

description: A dataset containing 755 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-74.8003 -54.97865,-62.40859 -54.97865,-62.40859 -18.8877,-74.8003 -18.8877,-74.8003 -54.97865))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Leopardus guigna (Molina, 1782)",
 "Year 2000-2022"
 ]
}

 The dataset includes 755 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055474-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f96t8n
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Brachirus pan (Hamilton, 1822)"
 ]
}

 The dataset includes 13 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035216-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a2mp9r
title: Occurrence Download

description: A dataset containing 405 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-75.0212085999999942 40.1185023999999970, -75.0212085999999942 40.1224637999999985, -75.0212085999999942 40.1252933700000014, -75.0212085999999942 40.1298206800000017, -75.0212085999999942 40.1324616100000000, -75.0212085999999942 40.1347252699999970, -75.0212085999999942 40.1373662000000024, -75.0161204500000025 40.1373662000000024, -75.0121631399999984 40.1373662000000024, -75.0065098599999942 40.1373662000000024, -75.0017987800000014 40.1373662000000024, -74.9987835000000018 40.1373662000000024, -74.9987835000000018 40.1349139100000016, -74.9987835000000018 40.1305752299999980, -74.9987835000000018 40.1275570199999976, -74.9987835000000018 40.1230297099999973, -74.9987835000000018 40.1185023999999970, -75.0016103399999992 40.1185023999999970, -75.0061329699999959 40.1185023999999970, -75.0097133900000017 40.1185023999999970, -75.0144244600000007 40.1185023999999970, -75.0185701999999992 40.1185023999999970, -75.0212085999999942 40.1185023999999970))",
 "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 405 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075286-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3mv52b
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pierella incanescens Godman & Salvin, 1877"
 ]
}

 The dataset includes 34 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055477-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yxveju
title: Occurrence Download

description: A dataset containing 99 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Carapus dubius (Putnam, 1874)"
 ]
}

 The dataset includes 99 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035334-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sbaqn9
title: Occurrence Download

description: A dataset containing 150 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Allium eurotophilum Wiggins"
 ]
}

 The dataset includes 150 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055479-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.au6apn
title: Occurrence Download

description: A dataset containing 1165004 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Lepidoptera"
 ]
}

 The dataset includes 1165004 records from 190 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035195-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dq94t2
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cochlearia camelinae Ledeb."
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055486-220831081235567/datasets/export for details.