cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.a3k9t7
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.37.56_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/0009769-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.awzxt3
title: Occurrence Download

description: A dataset containing 57 species occurrences available in GBIF matching the query:
{
 "and" : [
 "KingdomKey is Plantae",
 "Geometry POLYGON ((15.23597 50.1453, 15.23593 50.1456, 15.23587 50.1459, 15.23579 50.1462, 15.23568 50.14649, 15.23554 50.14678, 15.23539 50.14706, 15.23521 50.14734, 15.235 50.14761, 15.23478 50.14788, 15.23453 50.14814, 15.23427 50.14838, 15.23398 50.14862, 15.23368 50.14885, 15.23335 50.14907, 15.23301 50.14928, 15.23265 50.14947, 15.23228 50.14966, 15.23189 50.14983, 15.23149 50.14999, 15.23108 50.15013, 15.23065 50.15026, 15.23022 50.15037, 15.22978 50.15047, 15.22932 50.15056, 15.22887 50.15063, 15.22841 50.15069, 15.22794 50.15072, 15.22747 50.15075, 15.227 50.15076, 15.22653 50.15075, 15.22606 50.15072, 15.22559 50.15069, 15.22513 50.15063, 15.22468 50.15056, 15.22422 50.15047, 15.22378 50.15037, 15.22335 50.15026, 15.22292 50.15013, 15.22251 50.14999, 15.22211 50.14983, 15.22172 50.14966, 15.22135 50.14947, 15.22099 50.14928, 15.22065 50.14907, 15.22032 50.14885, 15.22002 50.14862, 15.21973 50.14838, 15.21947 50.14814, 15.21922 50.14788, 15.219 50.14761, 15.21879 50.14734, 15.21861 50.14706, 15.21846 50.14678, 15.21832 50.14649, 15.21821 50.1462, 15.21813 50.1459, 15.21807 50.1456, 15.21803 50.1453, 15.21802 50.145, 15.21803 50.1447, 15.21807 50.1444, 15.21813 50.1441, 15.21821 50.1438, 15.21832 50.14351, 15.21846 50.14322, 15.21861 50.14294, 15.21879 50.14266, 15.219 50.14239, 15.21922 50.14212, 15.21947 50.14186, 15.21973 50.14162, 15.22002 50.14138, 15.22032 50.14115, 15.22065 50.14093, 15.22099 50.14072, 15.22135 50.14053, 15.22172 50.14034, 15.22211 50.14017, 15.22251 50.14001, 15.22292 50.13987, 15.22335 50.13974, 15.22378 50.13963, 15.22422 50.13952, 15.22468 50.13944, 15.22513 50.13937, 15.22559 50.13931, 15.22606 50.13927, 15.22653 50.13925, 15.227 50.13924, 15.22747 50.13925, 15.22794 50.13927, 15.22841 50.13931, 15.22887 50.13937, 15.22932 50.13944, 15.22978 50.13952, 15.23022 50.13963, 15.23065 50.13974, 15.23108 50.13987, 15.23149 50.14001, 15.23189 50.14017, 15.23228 50.14034, 15.23265 50.14053, 15.23301 50.14072, 15.23335 50.14093, 15.23368 50.14115, 15.23398 50.14138, 15.23427 50.14162, 15.23453 50.14186, 15.23478 50.14212, 15.235 50.14239, 15.23521 50.14266, 15.23539 50.14294, 15.23554 50.14322, 15.23568 50.14351, 15.23579 50.1438, 15.23587 50.1441, 15.23593 50.1444, 15.23597 50.1447, 15.23598 50.145, 15.23597 50.1453))",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2026"
 ]
}

 The dataset includes 57 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009770-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e244194
title: NNDSS - TABLE 1L. Ehrlichiosis and Anaplasmosis, Ehrlichia ewingii infection to Giardiasis

description: NNDSS - TABLE 1L. Ehrlichiosis and Anaplasmosis, Ehrlichia ewingii infection to Giardiasis - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Note:
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html.

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).
Read less
description: (Downloaded 1/12/2026)
DOI: 10.3886/e244194v1
title: NNDSS - TABLE 1L. Ehrlichiosis and Anaplasmosis, Ehrlichia ewingii infection to Giardiasis

description: NNDSS - TABLE 1L. Ehrlichiosis and Anaplasmosis, Ehrlichia ewingii infection to Giardiasis - 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Note:
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html.

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).
Read less
description: (Downloaded 1/12/2026)
DOI: 10.15468/dl.znt2xx
title: Occurrence Download

description: A dataset containing 542425 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chile",
 "DatasetKey is EOD – eBird Observation Dataset",
 "Geometry POLYGON((-72.93081 -32.39857,-66.55761 -32.39857,-66.55761 -19.06245,-72.93081 -19.06245,-72.93081 -32.39857))",
 "Year 2020-2026"
 ]
}

 The dataset includes 542425 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009725-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18248915
title: Bidens platensis Manganaro. 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 16:43
DOI: 10.5281/zenodo.18248916
title: Bidens platensis Manganaro. 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 16:43
DOI: 10.15468/dl.rq6tj6
title: Occurrence Download

description: A dataset containing 452 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alburnus alburnus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1935",
 "Year is less than or equal to 1939"
 ]
}

 The dataset includes 452 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009771-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.31980.22407
title: Historic Davis Farm House Lost; But Significant History of Property Not Forgotten
DOI: 10.15468/dl.fabznr
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"USA.37.57_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 46 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009772-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18248931
title: Bidens quadrangularis DC. 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 16:43
DOI: 10.5281/zenodo.18248930
title: Bidens quadrangularis DC. 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 16:43
DOI: 10.3886/e244195
title: Undergraduate GPA Does Not Predict Success in PhD Programs

description: Master
of Science (MS) research training programs funded by organizations such as the
NIH, the NSF as well as private corporations represent the potential for
significant interventions for student success, especially for marginalized or
underrepresented and first-generation students, to bridge the gap between
undergraduate studies and doctoral programs. These students often face serious challenges
during their undergraduate years, such as navigating unfamiliar academic
systems, balancing demanding coursework with work responsibilities, and
fulfilling family obligations. These and other systemic pressures can impede
their academic progress and opportunities for research experience. We therefore
asked how their undergraduate GPA impacted success in the PhD in terms of (i)
acceptance, (ii) completion, and (iii) time to degree after participating in a
funded MS research training program. We examined data collected at San
Francisco State University and California State University, Los Angeles over a
30-year period because they (i) had similar student demographics, (ii) were
institutions with strong MS degrees, and (iii) had an infrastructure (established
offices) to coordinate various training programs. We found that high GPA did
not predict greater success in entering or completing the PhD, or in time to
degree. This study, therefore, demonstrates that undergraduates from diverse
groups with lower undergraduate GPA levels can benefit from a structured MS
research training program in reaching their goal of becoming a PhD scientist. Moreover,
it indicates that more holistic approaches in admissions are required,
including limiting the use of a GPA below 3.0 as an early filter to eliminate
applicants. These MS programs appear to play a crucial role as a bridge to PhD
studies and are instrumental in enhancing diversity within STEM fields. We
suggest that a strategy for success is to provide infrastructure in the form of
a coordinated office housing the training grants as a means of structuring
mentorship and professional development for under-represented and first generation
students.
DOI: 10.3886/e244195v1
title: Undergraduate GPA Does Not Predict Success in PhD Programs

description: Master
of Science (MS) research training programs funded by organizations such as the
NIH, the NSF as well as private corporations represent the potential for
significant interventions for student success, especially for marginalized or
underrepresented and first-generation students, to bridge the gap between
undergraduate studies and doctoral programs. These students often face serious challenges
during their undergraduate years, such as navigating unfamiliar academic
systems, balancing demanding coursework with work responsibilities, and
fulfilling family obligations. These and other systemic pressures can impede
their academic progress and opportunities for research experience. We therefore
asked how their undergraduate GPA impacted success in the PhD in terms of (i)
acceptance, (ii) completion, and (iii) time to degree after participating in a
funded MS research training program. We examined data collected at San
Francisco State University and California State University, Los Angeles over a
30-year period because they (i) had similar student demographics, (ii) were
institutions with strong MS degrees, and (iii) had an infrastructure (established
offices) to coordinate various training programs. We found that high GPA did
not predict greater success in entering or completing the PhD, or in time to
degree. This study, therefore, demonstrates that undergraduates from diverse
groups with lower undergraduate GPA levels can benefit from a structured MS
research training program in reaching their goal of becoming a PhD scientist. Moreover,
it indicates that more holistic approaches in admissions are required,
including limiting the use of a GPA below 3.0 as an early filter to eliminate
applicants. These MS programs appear to play a crucial role as a bridge to PhD
studies and are instrumental in enhancing diversity within STEM fields. We
suggest that a strategy for success is to provide infrastructure in the form of
a coordinated office housing the training grants as a means of structuring
mentorship and professional development for under-represented and first generation
students.
DOI: 10.15468/dl.7zes9a
title: Occurrence Download

description: A dataset containing 181 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alburnus alburnus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1940",
 "Year is less than or equal to 1944"
 ]
}

 The dataset includes 181 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009774-260108223611665/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/14500049
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.v5svqa
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.37.58_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/0009775-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h4ehdx
title: Occurrence Download

description: A dataset containing 80 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tapirus terrestris",
 "Country is Paraguay"
 ]
}

 The dataset includes 80 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009776-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j4fedc
title: Occurrence Download

description: A dataset containing 68 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alburnus alburnus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945",
 "Year is less than or equal to 1949"
 ]
}

 The dataset includes 68 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009777-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18248946
title: Bignonia 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 16:43
DOI: 10.5281/zenodo.18248945
title: Bignonia 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 16:43
DOI: 10.15468/dl.svgse9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"USA.37.59_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 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009778-260108223611665/datasets/export for details.
DOI: 10.15468/dl.vpbcv8
title: Occurrence Download

description: A dataset containing 14769626 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 14769626 records from 2690 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009730-260108223611665/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.27923556
title: <b>Mind wandering, working memory, and functional connectivity data.</b>

description: <b>Resting state functional connectivity underlining the association between working memory capacity and self-future mind wandering</b>
DOI: 10.6084/m9.figshare.27923556.v2
title: <b>Mind wandering, working memory, and functional connectivity data.</b>

description: <b>Resting state functional connectivity underlining the association between working memory capacity and self-future mind wandering</b>
DOI: 10.6084/m9.figshare.27923556.v1
title: <b>Mind wandering, working memory, and functional connectivity data.</b>

description: <b>Resting state functional connectivity underlining the association between working memory capacity and self-future mind wandering</b>
DOI: 10.15468/dl.yejjzu
title: Occurrence Download

description: A dataset listing the 220 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "Geometry POLYGON((-74.79631 5.78625,-74.78612 5.66509,-74.66099 5.69849,-74.70289 5.78398,-74.79631 5.78625))",
 "HasCoordinate is true",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset's 220 records were derived from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002244-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.