cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.rv2gja
title: Occurrence Download

description: A dataset containing 70 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"USA.44.147_1","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 70 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010817-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.veb73x
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Torenia fournieri",
 "Year 1950-2020"
 ]
}

 The dataset includes 29 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010818-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18212596
title: Dataset used in publication "Estimating tectonic coastal uplift requires accounting for sea-level variations caused by rapid sediment redistribution"

description: Here we provide the datasets comprising the compiled rates of sediment redistribution used to reconstruct the sediment transfer history, as well as the information of paleo–sea-level indicators used to evaluate tectonic coastal uplift rates.
DOI: 10.5281/zenodo.18212597
title: Dataset used in publication "Estimating tectonic coastal uplift requires accounting for sea-level variations caused by rapid sediment redistribution"

description: Here we provide the datasets comprising the compiled rates of sediment redistribution used to reconstruct the sediment transfer history, as well as the information of paleo–sea-level indicators used to evaluate tectonic coastal uplift rates.
DOI: 10.5281/zenodo.18252323
title: Cenchrus spinifex Cav. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:44
DOI: 10.5281/zenodo.18252322
title: Cenchrus spinifex Cav. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:44
DOI: 10.15468/dl.3awgx8
title: Occurrence Download

description: A dataset containing 57 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"USA.44.149_1","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 57 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010819-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18252331
title: Centaurea benedicta (L.) L. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:44
DOI: 10.5281/zenodo.18252330
title: Centaurea benedicta (L.) L. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:44
DOI: 10.5281/zenodo.18252332
title: Centaurea calcitrapa L. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:44
DOI: 10.5281/zenodo.18252333
title: Centaurea calcitrapa L. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:44
DOI: 10.5281/zenodo.18252334
title: Centaurea debeauxii Godr. & Gren. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:44
DOI: 10.5281/zenodo.18252335
title: Centaurea debeauxii Godr. & Gren. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:44
DOI: 10.15468/dl.p863p9
title: Occurrence Download

description: A dataset containing 3045 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"USA.44.152_1","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 3045 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010820-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18252338
title: Centaurea melitensis L. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:44
DOI: 10.5281/zenodo.18252339
title: Centaurea melitensis L. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:44
DOI: 10.15468/dl.d8ktc2
title: Occurrence Download

description: A dataset containing 55 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Torenia violacea",
 "Year 1970-2000"
 ]
}

 The dataset includes 55 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010821-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/11540238
title: Red chilli Powder Adulteration (Khammam Teja)
DOI: 10.5281/zenodo.18245455
title: Smart Manufacturing IIoT Anomaly Dataset (SMIAD25)

description: This dataset represents a large-scale Industrial IoT (IIoT) multivariate time-series collection obtained from smart manufacturing environments operating under Industry 4.0 principles. The data span a continuous period from 17 January 2021 to 30 October 2025, recorded at 15-minute intervals, and capture machine-level operational behavior across multiple production lines, stations, and process stages. Each record corresponds to a unique (timestamp, machine_id) pair and reflects real operational dynamics observed in interconnected industrial systems. TThe acronym of dataset is Smart Manufacturing IIoT Anomaly Dataset (SMIAD25).

The dataset contains heterogeneous feature groups commonly generated in modern manufacturing plants. These include mechanical and vibration-related measurements, acoustic indicators, electrical and drive characteristics, thermal and environmental readings, and process-level operational metrics. In addition, inspection- and vision-derived quality indicators are included to represent downstream quality assessment and surface inspection activities. Temporal evolution is characterized through change-based features, rolling statistics, and trend descriptors that reflect gradual degradation and long-term behavioral shifts.

To account for inter-machine interactions, the dataset is accompanied by a machine relationship graph encoding proximity, material flow, and control dependencies among assets. This enables the study of relational effects and collective anomaly propagation in distributed manufacturing systems.

The primary prediction target, anomaly_label, identifies abnormal versus normal operating conditions and exhibits strong class imbalance, consistent with real industrial fault occurrence patterns. Two auxiliary labels, anomaly_type and anomaly_severity, provide fault categorization and progressive intensity information, supporting advanced diagnostic and prognostic analysis. The dataset is suitable for temporal, graph-aware, and imbalance-robust learning approaches and supports realistic evaluation under deployment-oriented experimental settings.
DOI: 10.5281/zenodo.18245454
title: Smart Manufacturing IIoT Anomaly Dataset (SMIAD25)

description: This dataset represents a large-scale Industrial IoT (IIoT) multivariate time-series collection obtained from smart manufacturing environments operating under Industry 4.0 principles. The data span a continuous period from 17 January 2021 to 30 October 2025, recorded at 15-minute intervals, and capture machine-level operational behavior across multiple production lines, stations, and process stages. Each record corresponds to a unique (timestamp, machine_id) pair and reflects real operational dynamics observed in interconnected industrial systems. TThe acronym of dataset is Smart Manufacturing IIoT Anomaly Dataset (SMIAD25).

The dataset contains heterogeneous feature groups commonly generated in modern manufacturing plants. These include mechanical and vibration-related measurements, acoustic indicators, electrical and drive characteristics, thermal and environmental readings, and process-level operational metrics. In addition, inspection- and vision-derived quality indicators are included to represent downstream quality assessment and surface inspection activities. Temporal evolution is characterized through change-based features, rolling statistics, and trend descriptors that reflect gradual degradation and long-term behavioral shifts.

To account for inter-machine interactions, the dataset is accompanied by a machine relationship graph encoding proximity, material flow, and control dependencies among assets. This enables the study of relational effects and collective anomaly propagation in distributed manufacturing systems.

The primary prediction target, anomaly_label, identifies abnormal versus normal operating conditions and exhibits strong class imbalance, consistent with real industrial fault occurrence patterns. Two auxiliary labels, anomaly_type and anomaly_severity, provide fault categorization and progressive intensity information, supporting advanced diagnostic and prognostic analysis. The dataset is suitable for temporal, graph-aware, and imbalance-robust learning approaches and supports realistic evaluation under deployment-oriented experimental settings.
DOI: 10.15468/dl.cctvrd
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"USA.44.153_1","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 21 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010822-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ghcqej
title: Occurrence Download

description: A dataset containing 1473 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aiptasiidae, Actiniidae, Electridae, Mytilidae, Sabellidae)",
 "Geometry POLYGON ((33.925781 30.297018, 30.849609 30.221102, 36.738281 17.978733, 42.539063 11.867351, 46.054688 9.362353000000001, 53.613281 12.297068, 64.6875 21.616579, 66.269531 25.403585, 65.302734 29.993002, 50.976563 32.398516, 33.925781 30.297018))"
 ]
}

 The dataset includes 1473 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010823-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18252371
title: Centaurea solstitialis L. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:44
DOI: 10.5281/zenodo.18252372
title: Centaurea solstitialis L. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:44
DOI: 10.5281/zenodo.18252379
title: Centaurium Hill. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:44
DOI: 10.5281/zenodo.18252380
title: Centaurium Hill. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:44
DOI: 10.15468/dl.s7c5sv
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"USA.44.154_1","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010824-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aj6y6f
title: Occurrence Download

description: A dataset containing 55 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Jasminum nudiflorum",
 "Year 1970-2000"
 ]
}

 The dataset includes 55 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010825-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18252385
title: Centaurium pulchellum (Sw.) Hayek ex Hand.-Mazz.Stadlm., Janch. & Faltis. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:44
DOI: 10.5281/zenodo.18252386
title: Centaurium pulchellum (Sw.) Hayek ex Hand.-Mazz.Stadlm., Janch. & Faltis. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:44
DOI: 10.5281/zenodo.18252394
title: Centella L. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:44
DOI: 10.5281/zenodo.18252393
title: Centella L. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:44
DOI: 10.5281/zenodo.18252398
title: Centella asiatica (L.) Urb. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:44
DOI: 10.5281/zenodo.18252397
title: Centella asiatica (L.) Urb. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:44
DOI: 10.15468/dl.wg8gc4
title: Occurrence Download

description: A dataset containing 52 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"USA.44.155_1","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 52 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010826-260108223611665/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.30997330
title: <b>Misperceived Public Attitudes Undermine Support for Sexual and Gender Identity Disclosure in Japan</b>

description: <b>Abstract</b> Despite the well-documented negative consequences of concealing one’s sexual and gender identity for mental health, coming out remains a profoundly challenging experience for sexual and gender minorities (SGMs) globally. What deters them from disclosing their identities? The underlying barriers are not fully understood, and evidence is particularly scarce in non-Western contexts. Given the critical role of perceived social support in shaping coming-out decisions, this study examined the psychological mechanisms that underlie support for coming out. We surveyed heterosexual and cisgender individuals in Japan (<i>N</i> = 370), a developed country where SGMs often encounter greater difficulties in coming out relative to other nations. Specifically, we investigated whether and how supportive attitudes toward coming out are influenced by attitudes toward SGMs, with particular attention to the role of pluralistic ignorance. Participants reported both their private attitudes and their perceptions of societal attitudes toward SGMs. Analyses revealed a consistent pattern of pluralistic ignorance: participants believed that their own attitudes were more positive than those of the general public. Crucially, this misperception was associated with reduced support for SGMs’ willingness to come out. These findings shed light on how social support for SGMs is psychologically constructed and suggest that correcting the misperception of societal norms may be key to promoting more inclusive and supportive behaviors.
DOI: 10.6084/m9.figshare.30997330.v1
title: <b>Misperceived Public Attitudes Undermine Support for Sexual and Gender Identity Disclosure in Japan</b>

description: <b>Abstract</b> Despite the well-documented negative consequences of concealing one’s sexual and gender identity for mental health, coming out remains a profoundly challenging experience for sexual and gender minorities (SGMs) globally. What deters them from disclosing their identities? The underlying barriers are not fully understood, and evidence is particularly scarce in non-Western contexts. Given the critical role of perceived social support in shaping coming-out decisions, this study examined the psychological mechanisms that underlie support for coming out. We surveyed heterosexual and cisgender individuals in Japan (<i>N</i> = 370), a developed country where SGMs often encounter greater difficulties in coming out relative to other nations. Specifically, we investigated whether and how supportive attitudes toward coming out are influenced by attitudes toward SGMs, with particular attention to the role of pluralistic ignorance. Participants reported both their private attitudes and their perceptions of societal attitudes toward SGMs. Analyses revealed a consistent pattern of pluralistic ignorance: participants believed that their own attitudes were more positive than those of the general public. Crucially, this misperception was associated with reduced support for SGMs’ willingness to come out. These findings shed light on how social support for SGMs is psychologically constructed and suggest that correcting the misperception of societal norms may be key to promoting more inclusive and supportive behaviors.
DOI: 10.15468/dl.tkvnh2
title: Occurrence Download

description: A dataset containing 1505662 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Russian Federation",
 "OccurrenceStatus is Present",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 1505662 records from 411 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010814-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7yj4ru
title: Occurrence Download

description: A dataset containing 224 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Ligustrum quihoui",
 "Year 1970-2000"
 ]
}

 The dataset includes 224 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010827-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.