cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.d4whxy
title: Occurrence Download

description: A dataset containing 520 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((-73.36499999999999 4.390161, -73.435468 4.384591, -73.504198 4.368018, -73.56949400000001 4.340852, -73.62974800000001 4.303763, -73.683474 4.257664, -73.729349 4.203692, -73.766243 4.143179, -73.793251 4.077614, -73.809708 4.008614, -73.815213 3.937878, -73.80963300000001 3.867148, -73.793108 3.798165, -73.766047 3.732626, -73.729117 3.672146, -73.68323100000001 3.618212, -73.62951700000001 3.57215, -73.569298 3.535093, -73.50405499999999 3.507954, -73.435393 3.491398, -73.36499999999999 3.485834, -73.294607 3.491398, -73.225945 3.507954, -73.160702 3.535093, -73.100483 3.57215, -73.046769 3.618212, -73.000883 3.672146, -72.963953 3.732626, -72.936892 3.798165, -72.920367 3.867148, -72.914787 3.937878, -72.920292 4.008614, -72.93674900000001 4.077614, -72.963757 4.143179, -73.000651 4.203692, -73.046526 4.257664, -73.100252 4.303763, -73.160506 4.340852, -73.225802 4.368018, -73.294532 4.384591, -73.36499999999999 4.390161))"},{"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 520 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000874-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m5nqza
title: Occurrence Download

description: A dataset containing 1608 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Homogyne alpina)",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "Year is greater than or equal to 2010",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 50",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 1608 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000875-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18306244
title: Saccharum holcoides var. brevipilum Hack. 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 16:53
DOI: 10.5281/zenodo.18306245
title: Saccharum holcoides var. brevipilum Hack. 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 16:53
DOI: 10.5281/zenodo.18306227
title: Liostenogaster flavolineata genome annotation

description: Annotation gene file for Liostenogaster flavolineata
DOI: 10.5281/zenodo.18306226
title: Liostenogaster flavolineata genome annotation

description: Annotation gene file for Liostenogaster flavolineata
DOI: 10.5281/zenodo.18306246
title: Saccharum holcoides var. penicillare Hack. 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 16:53
DOI: 10.5281/zenodo.18306247
title: Saccharum holcoides var. penicillare Hack. 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 16:53
DOI: 10.15468/dl.jf9snj
title: Occurrence Download

description: A dataset containing 716 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((-73.627 4.413161, -73.69747 4.407591, -73.76620200000001 4.391018, -73.831501 4.363852, -73.891756 4.326762, -73.945483 4.280663, -73.991359 4.226692, -74.028255 4.166178, -74.055263 4.100614, -74.071721 4.031613, -74.077226 3.960877, -74.071645 3.890147, -74.055119 3.821164, -74.028057 3.755626, -73.99112700000001 3.695146, -73.945239 3.641212, -73.891524 3.59515, -73.83130300000001 3.558093, -73.766058 3.530954, -73.697395 3.514399, -73.627 3.508835, -73.556605 3.514399, -73.487942 3.530954, -73.422697 3.558093, -73.362476 3.59515, -73.308761 3.641212, -73.262873 3.695146, -73.225943 3.755626, -73.198881 3.821164, -73.182355 3.890147, -73.17677399999999 3.960877, -73.18227899999999 4.031613, -73.19873699999999 4.100614, -73.225745 4.166178, -73.262641 4.226692, -73.30851699999999 4.280663, -73.362244 4.326762, -73.422499 4.363852, -73.487798 4.391018, -73.55653 4.407591, -73.627 4.413161))"},{"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 716 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000877-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wbnd9s
title: Occurrence Download

description: A dataset containing 8419 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation)",
 "Country is Guatemala",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Megascops barbarus, Setophaga chrysoparia, Plectrohyla teuchestes, Cardellina versicolor)",
 "Year 2005-2026"
 ]
}

 The dataset includes 8419 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000878-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ub5acm
title: Occurrence Download

description: A dataset containing 5594 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (USA.13_1, CAN.2_1, USA.48_1, USA.38_1, USA.27_1)",
 "OccurrenceStatus is Present",
 "TaxonKey is Lestidae"
 ]
}

 The dataset includes 5594 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000879-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wtz3bc
title: Occurrence Download

description: A dataset containing 686 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Hornungia alpina, Pritzelago alpina, Hutchinsia alpina, Hutchinsia alpina)",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "Year is greater than or equal to 2010",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 50",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 686 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000880-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48667/j8qq-x032
title: ExOW_4_MicrobeMnlBONCAT

description: Research publication showing microbe-mineral interaction, linking anabolic activity via BONCAT with mineral identification at the microscale in salt marsh sediment.
DOI: 10.5281/zenodo.18306271
title: Saccharum villosum Steud. 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 16:53
DOI: 10.5281/zenodo.18306272
title: Saccharum villosum Steud. 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 16:53
DOI: 10.15468/dl.8bcxfu
title: Occurrence Download

description: A dataset containing 732 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((-73.581 4.44716, -73.651473 4.44159, -73.720208 4.425018, -73.78551 4.397851, -73.84576800000001 4.360762, -73.899497 4.314662, -73.945375 4.260691, -73.98227199999999 4.200177, -74.009281 4.134612, -74.025739 4.065612, -74.031244 3.994876, -74.02566299999999 3.924146, -74.009136 3.855163, -73.982073 3.789625, -73.94514100000001 3.729145, -73.89925100000001 3.675211, -73.845533 3.62915, -73.78531 3.592094, -73.720063 3.564954, -73.651397 3.548399, -73.581 3.542835, -73.510603 3.548399, -73.441937 3.564954, -73.37669 3.592094, -73.316467 3.62915, -73.262749 3.675211, -73.216859 3.729145, -73.17992700000001 3.789625, -73.15286399999999 3.855163, -73.136337 3.924146, -73.13075600000001 3.994876, -73.136261 4.065612, -73.152719 4.134612, -73.179728 4.200177, -73.21662499999999 4.260691, -73.262503 4.314662, -73.316232 4.360762, -73.37649 4.397851, -73.44179200000001 4.425018, -73.510527 4.44159, -73.581 4.44716))"},{"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 732 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000881-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25976/eaot-ke45
title: MPWA Redwillow Watershed Water Temperature

description: In 2015, MPWA completed a Watershed Restoration Plan for the Redwillow Watershed and has both completed some recommendations identified in the plan as well as engaged with other organizations and encouraged them to implement these recommendations. In order to understand current condition of the watershed as well to assess the effectiveness of restoration efforts, MPWA has undertaken follow-up monitoring including summer water temperature monitoring. This monitoring was completed by deploying Hobo temperature loggers at various locations throughout the Redwillow Watershed.
description: HOBO Tidbit MX Temperature Data Loggers were deployed at 13 different locations throughout the watershed that aligned with previous water temperature monitoring by other organizations. Loggers were attached to rebar embedded in the streambed and deployed to record temperature throughout the summer and autumn. Upon retrieval, notes were made as to the condition of the logger and the stream.
description: Data was cross-referenced with air temperature data from the nearest weather station. Data pulled from loggers that were no longer in the water column when they were retrieved were compared to the air temperature data.  All data points that showed higher than expected temperatures and great fluctuations were removed.
DOI: 10.5281/zenodo.18306280
title: Sacciolepis Nash. 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 16:53
DOI: 10.5281/zenodo.18306279
title: Sacciolepis Nash. 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 16:53
DOI: 10.15468/dl.3yvm2u
title: Occurrence Download

description: A dataset containing 344 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Hylotelephium maximum)",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "Year is greater than or equal to 2010",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 50",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 344 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000882-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e4j8hg
title: Occurrence Download

description: A dataset containing 716 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((-73.613 4.45016, -73.683474 4.44459, -73.75220899999999 4.428018, -73.817511 4.400851, -73.877769 4.363761, -73.931499 4.317662, -73.977377 4.263691, -74.014274 4.203177, -74.04128300000001 4.137612, -74.05774099999999 4.068612, -74.06324600000001 3.997876, -74.057665 3.927146, -74.041138 3.858163, -74.01407399999999 3.792625, -73.977142 3.732145, -73.931252 3.678211, -73.877534 3.63215, -73.817311 3.595094, -73.752064 3.567954, -73.683397 3.551399, -73.613 3.545835, -73.542603 3.551399, -73.47393599999999 3.567954, -73.408689 3.595094, -73.348466 3.63215, -73.294748 3.678211, -73.248858 3.732145, -73.21192600000001 3.792625, -73.184862 3.858163, -73.168335 3.927146, -73.16275400000001 3.997876, -73.16825900000001 4.068612, -73.18471700000001 4.137612, -73.211726 4.203177, -73.24862299999999 4.263691, -73.294501 4.317662, -73.348231 4.363761, -73.408489 4.400851, -73.47379100000001 4.428018, -73.542526 4.44459, -73.613 4.45016))"},{"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 716 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000883-260119153935675/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/14552574
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.cq3w66
title: Occurrence Download

description: A dataset containing 109 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Craspedocephalus borneensis"
 ]
}

 The dataset includes 109 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000884-260119153935675/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.31094089
title: Key events associated with media-presence peaks for twelve European politicians in Russian-language media (2025)

description: This dataset documents prominent peaks in media presence for a sample of twelve European politicians covered in Russian-language media during 2025. The peaks were identified using the Context-Aware Media Presence Index (CMPI), introduced and discussed in the accompanying paper. Each observation corresponds to an episode of heightened media attention and links quantitative CMPI signals to concrete political events or statement-driven news triggers.For each politician, daily CMPI time series were examined and peak episodes were defined as values exceeding two standard deviations above the mean of that politician’s full time series. Consecutive days above this threshold were grouped into a single episode. Each episode is represented by a start date and an end date; for single-day peaks these dates coincide. The date on which CMPI reached its maximum within the episode is recorded separately as the peak date.Each peak was contextualised by examining the content of the dominant stories (contextual clusters) associated with the peak date. A short description of the event(s) driving the peak is provided, together with a coarse event-type classification distinguishing bounded political developments (e.g. meetings, summits, campaigns, crises) from statement-driven events based on widely amplified public remarks or announcements.Columns:<b>event_number</b>: Integer identifier of the peak episode (for reference and convenience).<b>politician</b>: Name of the politician whose CMPI time series contains the peak.<b>event_type</b>: Type of event associated with the peak; either <i>political development</i> (bounded political events such as meetings, summits, campaigns, or crises) or <i>statement</i> (media attention driven primarily by widely amplified public remarks or announcements).<b>start_date</b>: First date of the peak episode (first day exceeding the threshold).<b>end_date</b>: Last date of the peak episode (last day exceeding the threshold).<b>peak_date</b>: Date within the episode on which CMPI reached its maximum value.<b>event_context_on_peak_date</b>: Short textual description of the event associated with the peak, based on the dominant contextual cluster on the peak date.
DOI: 10.6084/m9.figshare.31094089.v1
title: Key events associated with media-presence peaks for twelve European politicians in Russian-language media (2025)

description: This dataset documents prominent peaks in media presence for a sample of twelve European politicians covered in Russian-language media during 2025. The peaks were identified using the Context-Aware Media Presence Index (CMPI), introduced and discussed in the accompanying paper. Each observation corresponds to an episode of heightened media attention and links quantitative CMPI signals to concrete political events or statement-driven news triggers.For each politician, daily CMPI time series were examined and peak episodes were defined as values exceeding two standard deviations above the mean of that politician’s full time series. Consecutive days above this threshold were grouped into a single episode. Each episode is represented by a start date and an end date; for single-day peaks these dates coincide. The date on which CMPI reached its maximum within the episode is recorded separately as the peak date.Each peak was contextualised by examining the content of the dominant stories (contextual clusters) associated with the peak date. A short description of the event(s) driving the peak is provided, together with a coarse event-type classification distinguishing bounded political developments (e.g. meetings, summits, campaigns, crises) from statement-driven events based on widely amplified public remarks or announcements.Columns:<b>event_number</b>: Integer identifier of the peak episode (for reference and convenience).<b>politician</b>: Name of the politician whose CMPI time series contains the peak.<b>event_type</b>: Type of event associated with the peak; either <i>political development</i> (bounded political events such as meetings, summits, campaigns, or crises) or <i>statement</i> (media attention driven primarily by widely amplified public remarks or announcements).<b>start_date</b>: First date of the peak episode (first day exceeding the threshold).<b>end_date</b>: Last date of the peak episode (last day exceeding the threshold).<b>peak_date</b>: Date within the episode on which CMPI reached its maximum value.<b>event_context_on_peak_date</b>: Short textual description of the event associated with the peak, based on the dominant contextual cluster on the peak date.
DOI: 10.5281/zenodo.17982096
title: Intermediate Wheatgrass TLI breeding C07, C10 Disease Evaluation and GWAS

description: Intermediate wheatgrass (IWG) [Thiniopyrum intermedium (Host) Barkworth & D. R. Dewey] is a promising perennial grain candidate that The Land Institute has been directly domesticating since 2001. Grain from improved IWG can be sold under the trademark Kernza. Resistance to Fusarium head blight (FHB) is a high priority trait to reduce toxin content of the grain and protect the value and seed supply of Kernza. We evaluated two breeding cycles of IWG from 2018-2022 with each cycle containing ~500 unique genets to evaluate disease response and identify chromosomal regions associated with disease resistance. Quantitative trait loci (QTL) were mapped for 19 different traits using 32,067 markers in 21 linkage groups with genome-wide association analysis. A total of 210 unique marker-trait associations (MTA) were detected across 15 different traits with five of these traits related to Fusarium head blight (FHB) resistance. We additionally used the BLAST Alignment Creation tool to identify homologies between the Fhb1 region of wheat and the IWG genome, including an IWG GDSL-like lipase/Acylhydrolase gene (Thintv31194873.m.g) with similarity (query = 89%) to the T. aestivum Sumai 3 Fhb1 genomic sequence. Other candidate genes outside of the Fhb1 region were identified for Fusarium resistance with functions associated with toxin reduction and defense hormones and metabolites. These results provide loci that can be used to develop genetic markers for selection through breeding to improve IWG’s genetic resistance to FHB.