cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15601486
title: Birch and Swinnerton-Dyer Conjecture proof

description: Title: Clay Institute Version: Proof of the Birch and Swinnerton-Dyer Conjecture

Description:This document presents a formal and complete proof of the Birch and Swinnerton-Dyer Conjecture, one of the seven Millennium Prize Problems. The conjecture asserts that the rank of the group of rational points on an elliptic curve E over ℚ equals the order of vanishing of its L-function L(E, s) at s = 1.

Using the modularity of elliptic curves, descent via Selmer groups, Galois cohomology, and the finiteness of the Tate–Shafarevich group, the paper proves the equality between analytic and algebraic ranks. The argument incorporates the Gross–Zagier formula and Kolyvagin's work on Heegner points to bound ranks from both directions, resolving the conjecture in full alignment with rigorous mathematical expectations.

All claims, notation, and structures conform to modern standards in arithmetic geometry and are presented in a format ready for peer-reviewed consideration.

Keywords: Birch and Swinnerton-Dyer, Elliptic Curves, Mordell–Weil Group, L-functions, Selmer Groups, Galois Cohomology, Modular Forms, Millennium Problems, Clay Mathematics Institute
DOI: 10.15468/dl.qnuc2n
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",
 "Year is greater than or equal to 1970",
 "Year is less than or equal to 2000",
 "Month is null",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Batrachoseps luciae Jockusch, Yanev & Wake, 2001"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022365-250525065834625/datasets/export for details.
DOI: 10.15468/dl.e2rtz2
title: Occurrence Download

description: A dataset containing 52557 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Didelphis virginiana Kerr, 1792"
 ]
}

 The dataset includes 52557 records from 228 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010549-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bqdayb
title: Occurrence Download

description: A dataset containing 226479 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Regulus regulus (Linnaeus, 1758), Remiz consobrinus (Swinhoe, 1870), Remiz coronatus (Severtzov, 1873), Remiz macronyx (Severtzov, 1873), Rhipidura albicollis (Vieillot, 1818), Rhipidura aureola Lesson, 1831, Rhipidura nigritorquis Vigors, 1831, Abroscopus albogularis (Moore, 1854), Abroscopus schisticeps (J.E.Gray & G.R.Gray, 1847), Abroscopus superciliaris (Blyth, 1859), Cettia brunnifrons (Hodgson, 1845), Cettia castaneocoronata (Burton, 1836), Cettia cetti (Temminck, 1820), Cettia major (Moore, 1854), Urosphena pallidipes (Blanford, 1872), Horornis acanthizoides (J.Verreaux, 1870), Horornis brunnescens (Hume, 1872), Horornis diphone (Kittlitz, 1830), Horornis diphone (Kittlitz, 1830), Horornis flavolivaceus (Blyth, 1845), Horornis fortipes Hodgson, 1845, Phyllergates cuculatus (Temminck, 1836), Tesia cyaniventer Hodgson, 1837, Tesia olivea (McClelland, 1840), Tickellia hodgsoni (Moore, 1854), Urosphena squameiceps (Swinhoe, 1863), Sitta cinnamoventris Blyth, 1842, Sitta europaea Linnaeus, 1758, Sitta formosa Blyth, 1843, Sitta frontalis Swainson, 1820, Sitta himalayensis Jardine & Selby, 1835, Sitta magna R.G.W.Ramsay, 1876, Sitta nagaensis Godwin-Austen, 1874, Sitta przewalskii Berezowski & Bianchi, 1891, Sitta solangiae (Delacour & Jabouille, 1930), Sitta villosa J.Verreaux, 1865, Sitta yunnanensis Ogilvie-Grant, 1900, Tichodroma muraria (Linnaeus, 1766), Chelidorhynx hypoxantha (Blyth, 1843), Culicicapa ceylonensis (Swainson, 1820))",
 "Geometry POLYGON((73.5208333 16.6625,135.0791667 16.6625,135.0791667 53.5541667,73.5208333 53.5541667,73.5208333 16.6625))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Country is one of (China, Hong Kong, Macao, Chinese Taipei)"
 ]
}

 The dataset includes 226479 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021495-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15181396
title: KPoEM dataset for "Decoding the Poetic Language of Emotion in Korean Modern Poetry: Insights from a Human-Labeled Dataset and AI Modeling"

description: KPoEM (Korean Poetry Emotion Mapping) Dataset

 

We collected 487 poems from five prominent Korean modern poets: Kim So-wol (165 poems), Yun Dong-ju (113 poems), Im Hwa (44 poems), Yi Sang (47 poems), and Han Yong-un (118 poems). We scraped their major works from public domain sources, including "Azaleas" (Korean: 진달래꽃, Jindallaekkot), "Sky, Wind, Stars, and Poetry" (Korean: 하늘과 바람과 별과 시, Haneulgwa baramgwa byeolgwa si), "Hyunhaetan" (Korean: 현해탄, Hyeonhaetan; Hanja: 玄海灘) , "Silence of My Beloved" (Korean: 님의 침묵, Nimui chimmuk), In the case of Yi Sang, the dataset focuses on his Korean-language series poems such as "Crow's Eye View" (Korean: 오감도, Ogamdo; Hanja: 烏瞰圖), "Reverse" (Korean: 역단, Yeokdan; Hanja: 易斷), and "Critical Condition" (Korean: 위독, Widok; Hanja: 危篤).

In results, this dataset has a total of 7,008 emotion-annotated line-level text.

 



Please refer to the following presentation: LIM, I., Ji, H., & Kim, B. (2025). 한국 근현대시 감정 라벨링 데이터셋 구축: 문학 텍스트의 컴퓨터 기반 감정 분류와 생성형 AI 활용을 위한 기초 연구. 제2회 한국현대문학자대회 (KorLitConf), Seoul, Korea. Zenodo. https://doi.org/10.5281/zenodo.15055795

All source code used in this study has been made publicly available in the following repository. See the link for details. https://github.com/AKS-DHLAB/KPoEM
DOI: 10.5281/zenodo.15571991
title: KPoEM dataset for "Decoding the Poetic Language of Emotion in Korean Modern Poetry: Insights from a Human-Labeled Dataset and AI Modeling"

description: KPoEM (Korean Poetry Emotion Mapping) Dataset

 

We collected 483 poems from five prominent Korean modern poets: Kim So-wol (165 poems), Yun Dong-ju (113 poems), Im Hwa (44 poems), Yi Sang (47 poems), and Han Yong-un (118 poems). We scraped their major works from public domain sources, including "Azaleas" (Korean: 진달래꽃, Jindallaekkot), "Sky, Wind, Stars, and Poetry" (Korean: 하늘과 바람과 별과 시, Haneulgwa baramgwa byeolgwa si), "Hyunhaetan" (Korean: 현해탄, Hyeonhaetan; Hanja: 玄海灘) , "Silence of My Beloved" (Korean: 님의 침묵, Nimui chimmuk), In the case of Yi Sang, the dataset focuses on his Korean-language series poems such as "Crow's Eye View" (Korean: 오감도, Ogamdo; Hanja: 烏瞰圖), "Reverse" (Korean: 역단, Yeokdan; Hanja: 易斷), and "Critical Condition" (Korean: 위독, Widok; Hanja: 危篤).

In results, this dataset has a total of 7,007 emotion-annotated line-level text.

 



Please refer to the following presentation: LIM, I., Ji, H., & Kim, B. (2025). 한국 근현대시 감정 라벨링 데이터셋 구축: 문학 텍스트의 컴퓨터 기반 감정 분류와 생성형 AI 활용을 위한 기초 연구. 제2회 한국현대문학자대회 (KorLitConf), Seoul, Korea. Zenodo. https://doi.org/10.5281/zenodo.15055795

All source code used in this study has been made publicly available in the following repository. See the link for details. https://github.com/AKS-DHLAB/KPoEM
DOI: 10.5281/zenodo.15572285
title: KPoEM dataset for "Decoding the Poetic Language of Emotion in Korean Modern Poetry: Insights from a Human-Labeled Dataset and AI Modeling"

description: KPoEM (Korean Poetry Emotion Mapping) Dataset

 

We collected 483 poems from five prominent Korean modern poets: Kim So-wol (165 poems), Yun Dong-ju (113 poems), Im Hwa (44 poems), Yi Sang (47 poems), and Han Yong-un (118 poems). We scraped their major works from public domain sources, including "Azaleas" (Korean: 진달래꽃, Jindallaekkot), "Sky, Wind, Stars, and Poetry" (Korean: 하늘과 바람과 별과 시, Haneulgwa baramgwa byeolgwa si), "Hyunhaetan" (Korean: 현해탄, Hyeonhaetan; Hanja: 玄海灘) , "Silence of My Beloved" (Korean: 님의 침묵, Nimui chimmuk), In the case of Yi Sang, the dataset focuses on his Korean-language series poems such as "Crow's Eye View" (Korean: 오감도, Ogamdo; Hanja: 烏瞰圖), "Reverse" (Korean: 역단, Yeokdan; Hanja: 易斷), and "Critical Condition" (Korean: 위독, Widok; Hanja: 危篤).

In results, this dataset has a total of 7,007 emotion-annotated line-level text.

 



Please refer to the following presentation: LIM, I., Ji, H., & Kim, B. (2025). 한국 근현대시 감정 라벨링 데이터셋 구축: 문학 텍스트의 컴퓨터 기반 감정 분류와 생성형 AI 활용을 위한 기초 연구. 제2회 한국현대문학자대회 (KorLitConf), Seoul, Korea. Zenodo. https://doi.org/10.5281/zenodo.15055795

All source code used in this study has been made publicly available in the following repository. See the link for details. https://github.com/AKS-DHLAB/KPoEM
DOI: 10.15468/dl.zrmh33
title: Occurrence Download

description: A dataset containing 214 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Trigonobalanus verticillata"
 ]
}

 The dataset includes 214 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025265-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x5amqp
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ricinus communis",
 "Country is Yemen",
 "HasCoordinate is true"
 ]
}

 The dataset includes 13 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025264-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/usctheses-ouc11399limj
title: Mechanics of Unconventional Networks
DOI: 10.25549/usctheses-ouc11399limc
title: Engineering Extracellular Vesicles for Atherosclerosis Therapy
DOI: 10.5281/zenodo.15597516
title: बौद्धकालीन  शिक्षा : शांति  शिक्षा  को  व्यापक  आधार  प्रदानकर्ता  के रूप मे
DOI: 10.5281/zenodo.15597517
title: बौद्धकालीन  शिक्षा : शांति  शिक्षा  को  व्यापक  आधार  प्रदानकर्ता  के रूप मे
DOI: 10.6084/m9.figshare.28508846
title: Appendix A. Descriptive overview of included studies

description: This appendix offers a structured descriptive profile of the 46 studies reviewed in this SLR. The matrix summarises essential bibliographic and contextual information to support understanding of the research landscape and the diversity of implementations observed. It includes:· Study identification and metadata (reference code, title, authors, publication year, journal, and source database).· Geographical and educational context (country, educational level, and setting).· Participant information (sample size and learner profile, including age, English proficiency, and digital competence when available).· Methodological characteristics (study design and type).· Virtual learning environment (VLE) description, where reported.This dataset aims to enhance transparency and replicability by providing structured information about the reviewed studies. It can be useful for researchers and educators exploring the intersection of educational technology, second language acquisition, and digital learning strategies.
DOI: 10.6084/m9.figshare.28508846.v2
title: Appendix A. Descriptive overview of included studies

description: This appendix offers a structured descriptive profile of the 46 studies reviewed in this SLR. The matrix summarises essential bibliographic and contextual information to support understanding of the research landscape and the diversity of implementations observed. It includes:· Study identification and metadata (reference code, title, authors, publication year, journal, and source database).· Geographical and educational context (country, educational level, and setting).· Participant information (sample size and learner profile, including age, English proficiency, and digital competence when available).· Methodological characteristics (study design and type).· Virtual learning environment (VLE) description, where reported.This dataset aims to enhance transparency and replicability by providing structured information about the reviewed studies. It can be useful for researchers and educators exploring the intersection of educational technology, second language acquisition, and digital learning strategies.
DOI: 10.5281/zenodo.4509097
title: Islamic Traditions [IO Bijapur 113] مشکاة [commentary on]

description: Tradition.

This manuscript is now IO Bijapur 113  in the India Office collections.

[metadata: Otto Loth, A Catalogue of the Arabic Manuscripts in the Library of the India Office, (volume 1), no. 157 here with further notations and hyperlinks].


157.

B 113, 114. Size 111/4 in. by 7 in.; foll. 323.

Twenty-seven lines in a page.

The final portion of a Commentary on the Mishkât, by Ḥusain3 b. Muḥammad ṬAIYIBÎ (d. A. H. 743), entitled الکاشف عن حقائق السنن. Cf. Ḥ. Kh. v. 567.

Begins with کتاب القصاص. The text of the Mishkât is not included. Written in a good Nasta’liḳ hand. Dated 3rd Ramaḍân, 888 [=10 October 1483]. Scribe, ‘Abdallah b. Mas’ûb b. سیدی Kâzarûnî. A defect after fol. 163.

 

3 Alias Ḥasan, and so originally in this MS.
DOI: 10.5281/zenodo.4509098
title: Islamic Traditions [IO Bijapur 113] مشکاة [commentary on]

description: Tradition.

This manuscript is now IO Bijapur 113  in the India Office collections.

[metadata: Otto Loth, A Catalogue of the Arabic Manuscripts in the Library of the India Office, (volume 1), no. 157 here with further notations and hyperlinks].


157.

B 113, 114. Size 111/4 in. by 7 in.; foll. 323.

Twenty-seven lines in a page.

The final portion of a Commentary on the Mishkât, by Ḥusain3 b. Muḥammad ṬAIYIBÎ (d. A. H. 743), entitled الکاشف عن حقائق السنن. Cf. Ḥ. Kh. v. 567.

Begins with کتاب القصاص. The text of the Mishkât is not included. Written in a good Nasta’liḳ hand. Dated 3rd Ramaḍân, 888 [=10 October 1483]. Scribe, ‘Abdallah b. Mas’ûb b. سیدی Kâzarûnî. A defect after fol. 163.

 

3 Alias Ḥasan, and so originally in this MS.
DOI: 10.15468/dl.v9vghz
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Nepal, Bhutan, Bangladesh, Pakistan, China, India, Myanmar, Afghanistan)",
 "TaxonKey is Hasora salanga Plötz, 1885"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022073-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fvd4vk
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cyprinus carpio Linnaeus, 1758",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((15.4784 -23.4046,15.4933 -24.0715,20.509 -24.0715,20.509 -24.0455,20.0952 -23.5072,19.9968 -23.017,19.7843 -22.5405,19.1988 -21.8785,18.5972 -21.5447,17.8859 -21.3993,17.1626 -21.4805,16.5332 -21.7596,16.1257 -22.0882,15.8234 -22.4662,15.606 -22.8993,15.4784 -23.4046))"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022074-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15236753
title: MagBac_Datensatz_LMU_2025

description: MagBacBayern ist ein Kooperationsprojekt der Ludwig-Maximilians-Universität München und Universität Bayreuth mit Schulen in München und Bayreuth. Es soll helfen mehr über magnetotaktischen Bakterien zu erfahren. Ziel ist es eine detaillierte Karte aller Fundorte zu erstellen.

Dieser Datensatz dient als Beispieldatensatz der LMU. Dabei wurden Gewässer in und um München beprobt und im Labor der Geophysik der LMU München auf magnetotaktische Bakterien untersucht.
DOI: 10.17632/fszmvyy8wt
title: Determinants of corporate bond default risk during crises: Quantile-based insights by recession type and phase

description: Testing data and commands.
DOI: 10.17632/fszmvyy8wt.1
title: Determinants of corporate bond default risk during crises: Quantile-based insights by recession type and phase

description: Testing data and commands.
DOI: 10.17632/vn2gxjcm5c.1
title: Dataset Supporting: From budget to benefits: Effects of gender budgeting on school infrastructure and girls' education in India

description: The datasets used in this study provide information on school infrastructure, available resources, teachers, and educational participation variables. The data has been sourced from two major repositories to analyze the impact of gender budgeting policy changes on school infrastructure, specifically facilities for girls, such as separate toilets, and their influence on schooling participation in India. The first dataset, the District Information System for Education (DISE), is primarily derived from the National University of Educational Planning and Administration (NUEPA) state report cards. This dataset covers the period from 2004 to 2017 for all states in India and serves as the primary source of information on school infrastructure and facilities. The second dataset, the India Human Development Survey (IHDS), is available in two waves and provides data on various aspects of human development. This study focused on the primary school facility survey data from the IHDS. These datasets were instrumental in evaluating the impact of gender budgeting on school infrastructure and schooling outcomes for girls in India. Our findings indicate that gender budgeting has positively affected these outcomes.
DOI: 10.5281/zenodo.15586791
title: Dataset of 'Challenges and Perceptions of Coretax: A Sentiment Analysis Approach'
DOI: 10.15468/t0r3vt
title: Florida Keys Reef Visual Census 2001

description: In 1998, the Florida Fish and Wildlife Conservation Commission's (FWC) Fisheries Independent Monitoring (FIM) program began a long-term monitoring effort of key reef fish populations in the Florida Keys National Marine Sanctuary. This effort was aimed at evaluating the relative abundance, size structure, and habitat utilization of specific reef fish species that are targeted by commercial and recreational fisheries.
DOI: 10.7278/s5d-h2nc-qa57
title: Histone H4K20 Methylation and its Regulating Enzymes in the Heart
DOI: 10.5063/f1m043wf
title: Estimating Residual Dry Matter with Field Spectroscopy and UAV LiDAR at The Jack and Laura Dangermond Preserve

description: Residual Dry Matter (RDM) is the non-green/non-photosynthetic plant material left on the ground at the end of the growing season in rangelands across California. It is a landscape-scale estimate of aboveground biomass (lbs/acre or kgs/ha) used by agencies to guide grazing and fire fuel management across the Western United States. This dataset includes the spectral data (Dangermond Spectra) and analysis CSV (RDM weights, locations, spectral index values, and chm values) used to correlate RDM ground-reference measurements with co-located UAV LiDAR (UAV LiDAR Data can be found on OpenTopography: https://doi.org/10.5069/G9S180QV) and spectral data using random forest regression and linear regression models. This study was conducted on September 19-20, 2024 at the Jack and Laura Dangermond Preserve. UAV LiDAR predictors are canopy height model metrics, derived from gridded UAV LiDAR Point Cloud Data. These metrics are ‘zonal statistics’ for each RDM hoop and are: chm_max, chm_range, chm_mean, chm_std, chm_sum, chm_median, chm_90percentile. There are two files for each study area: a pre-clipping and post-clipping laz file. Pre-clip is the flight conducted before clipping the plot RDM to create a Digital Surface Model or DSM. The Post-clip flight is conducted after clipping the RDM plot to create a Digital Terrain Model or DTM of bare soil. The difference between the two datasets was used to create a canopy height model or nDSM. Spectral predictors are non-photosynthetic vegetation indices developed for monitoring crop residue cover (CAI, LCAI, NDLI) calculated from the spectra provided.
DOI: 10.15468/dl.n8mf9y
title: Occurrence Download

description: A dataset containing 100 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 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
 (occurrence.taxonkey = 2157949 OR occurrence.acceptedtaxonkey = 2157949 OR occurrence.kingdomkey = 2157949 OR occurrence.phylumkey = 2157949 OR occurrence.classkey = 2157949 OR occurrence.orderkey = 2157949 OR occurrence.familykey = 2157949 OR occurrence.genuskey = 2157949 OR occurrence.specieskey = 2157949)
 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.occurrencestatus = 'PRESENT'
 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 100 records were derived from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018281-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qmunsd
title: Occurrence Download

description: A dataset containing 36448 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Streptomyces Waksman & Henrici, 1943"
 ]
}

 The dataset includes 36448 records from 425 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018286-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.