cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29991574.v1
title: <i>Bipolaris</i> species associated with foliar diseases on invasive and weedy grasses in Florida

description: Invasive and weedy plants proliferate in disturbed areas, including the margins of agricultural fields where they can be alternative hosts and reservoirs of crop pathogens. Research on plant pathogens focuses on economically important plants, whereas pathogens of weedy and invasive grasses are generally less well characterized. <i>Bipolaris</i> species have the potential to cause disease on many plant species and are common pathogens of grasses and crops in the family Poaceae. This study aimed to identify <i>Bipolaris</i> species causing foliar lesions on common weedy and invasive grasses in disturbed and natural areas in four counties in Florida. Isolation of characteristic <i>Bipolaris</i> conidia from sampled grasses resulted in 22 isolates. Maximum likelihood phylogenetic analysis of internal transcribed spacer (ITS) and glyceraldehyde-3-phosphate dehydrogenase (<i>GPDH</i>) gene sequences from these isolates identified four <i>Bipolaris</i> and one <i>Curvularia</i> species. <i>B. yamadae</i> was the most common species recovered, followed by <i>B. sorokiniana, B. cynodontis</i>, and <i>B. zeae</i>. To determine whether the <i>Bipolaris</i> isolates were potential crop pathogens, we tested their pathogenicity on seedlings of wheat cultivar “Jamestown.” All <i>Bipolaris</i> isolates tested caused moderate to severe disease. Our results indicate that invasive and weedy grasses support populations of <i>Bipolaris</i> pathogens of crops. Knowledge of pathogen natural history can inform management of existing and emerging crop diseases.
DOI: 10.6084/m9.figshare.30333664
title: <i>Piromyces struthionis</i>, sp. nov., a new anaerobic gut fungus from the feces of ostriches

description: Anaerobic gut fungi (AGF; <i>Neocallimastigomycota</i>) are a clade of basal, zoospore-producing fungi within the subkingdom Chytridiomyceta and known inhabitants of the alimentary tract of animal hosts. To date, 22 genera and 38 species have been described, most originating from herbivorous mammals. Here, we report on the isolation and characterization of a novel species of <i>Neocallimastigomycota</i> from an avian host. Multiple AGF strains were isolated from ostrich feces obtained from a local farm in Oklahoma (USA). All strains formed small, irregular-shaped white colonies with darker centers, displayed a filamentous rhizoidal structure with monocentric thallus developmental patterns, and produced mostly monoflagellated zoospores. The type strain produced terminal sporangia that were predominantly globose, often exhibiting cup-shaped and occasionally elongated sporangiophores. Sporangiophores characteristically exhibited constrictions at irregular intervals, giving them a beads-on-a-string-like appearance. Phylogenetic analysis using the partial nuc 28S rDNA D1–D2 regions (D1–D2 28S), ribosomal internal transcribed spacer 1 (ITS1), and RNA polymerase II large subunit (RPB1) grouped all isolates as a separate species within the genus <i>Piromyces</i>. Transcriptomic analysis indicated an average amino acid identity (AAI) of 80.34% (± 3.27%) between the type species and members of the genus <i>Piromyces</i> and 62.93–76.05% between the type species and all other AGF taxa outside <i>Piromyces</i>. Based on the morphology, phylogenetic analysis, and AAI values, we propose accommodating these strains as a novel species of <i>Piromyces</i>, for which the name <i>Piromyces struthionis</i> is proposed. The type strain for this species is Ost1.
DOI: 10.6084/m9.figshare.30333664.v1
title: <i>Piromyces struthionis</i>, sp. nov., a new anaerobic gut fungus from the feces of ostriches

description: Anaerobic gut fungi (AGF; <i>Neocallimastigomycota</i>) are a clade of basal, zoospore-producing fungi within the subkingdom Chytridiomyceta and known inhabitants of the alimentary tract of animal hosts. To date, 22 genera and 38 species have been described, most originating from herbivorous mammals. Here, we report on the isolation and characterization of a novel species of <i>Neocallimastigomycota</i> from an avian host. Multiple AGF strains were isolated from ostrich feces obtained from a local farm in Oklahoma (USA). All strains formed small, irregular-shaped white colonies with darker centers, displayed a filamentous rhizoidal structure with monocentric thallus developmental patterns, and produced mostly monoflagellated zoospores. The type strain produced terminal sporangia that were predominantly globose, often exhibiting cup-shaped and occasionally elongated sporangiophores. Sporangiophores characteristically exhibited constrictions at irregular intervals, giving them a beads-on-a-string-like appearance. Phylogenetic analysis using the partial nuc 28S rDNA D1–D2 regions (D1–D2 28S), ribosomal internal transcribed spacer 1 (ITS1), and RNA polymerase II large subunit (RPB1) grouped all isolates as a separate species within the genus <i>Piromyces</i>. Transcriptomic analysis indicated an average amino acid identity (AAI) of 80.34% (± 3.27%) between the type species and members of the genus <i>Piromyces</i> and 62.93–76.05% between the type species and all other AGF taxa outside <i>Piromyces</i>. Based on the morphology, phylogenetic analysis, and AAI values, we propose accommodating these strains as a novel species of <i>Piromyces</i>, for which the name <i>Piromyces struthionis</i> is proposed. The type strain for this species is Ost1.
DOI: 10.5281/zenodo.15499620
title: Generation of knock-in Cre and FlpO mouse lines for basal ganglia and dopamine neuron investigation (SOURCE DATA)

description: The dataset contained in this repository are the processed data and information used in all the quantifications, tables, and figures associated with the project "Generation of knock-in Cre and FlpO mouse lines for basal ganglia and dopamine neuron investigation" by Albarran et al.
DOI: 10.5281/zenodo.15499621
title: Generation of knock-in Cre and FlpO mouse lines for basal ganglia and dopamine neuron investigation (SOURCE DATA)

description: The dataset contained in this repository are the processed data and information used in all the quantifications, tables, and figures associated with the project "Generation of knock-in Cre and FlpO mouse lines for basal ganglia and dopamine neuron investigation" by Albarran et al.
DOI: 10.5281/zenodo.17603193
title: Brian Paul Kaess Family Documentation 2

description: 'Brian Paul Kaess Family Documentation 2' continues documenting Brian's life, family, ancestors in whatever format available.
DOI: 10.3886/e240254
title: Permafrost greenhouse gas and microbial data from the Alaska Peatland Experiment (APEX) 2017 to 2019

description: These data include permafrost gas concentration data from the Alaska Peatland Experiment at various depths, times, and locations<br>
DOI: 10.3886/e240254v1
title: Permafrost greenhouse gas and microbial data from the Alaska Peatland Experiment (APEX) 2017 to 2019

description: These data include permafrost gas concentration data from the Alaska Peatland Experiment at various depths, times, and locations<br>
DOI: 10.15468/dl.fuaekk
title: Occurrence Download

description: A dataset containing 398 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Coptotermes gestroi"
 ]
}

 The dataset includes 398 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031581-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e240252
title: Data used in projected air and water temperatures for selected regions of the upper San Francisco Estuary and Yolo Bypass under 20 scenarios of climate change

description: Understanding the effects of climate change is a substantial challenge in estuarine systems because the mixing of freshwater and ocean water adds complexity to climate change projections. Such climate change projections have been conducted in the San Francisco Estuary as part of the U.S. Geological Survey’s CASCaDE Project. In this project, we assessed downscaled air temperature data from 10 Global Climate Change models under 2 Representative Concentration Pathway (RCP) trajectories for greenhouse gas concentrations for three regions of the upper San Francisco Estuary: Suisun and Grizzly Bays, Suisun Marsh, and the legal Delta. We also utilized previously derived regression models to estimate future water temperatures at 16 locations within the upper estuary based on the projected air temperature data.<br><br>PurposeTo assess downscaled air temperature data from 10 Global Climate Change models under 2 Representative Concentration Pathway (RCP) trajectories for greenhouse gas concentrations for three regions of the upper San Francisco Estuary: Suisun and Grizzly Bays, Suisun Marsh, and the legal Delta. We also utilized previously derived regression models to estimate future water temperatures at 16 locations within the upper estuary based on the projected air temperature data.
DOI: 10.3886/e240252v1
title: Data used in projected air and water temperatures for selected regions of the upper San Francisco Estuary and Yolo Bypass under 20 scenarios of climate change

description: Understanding the effects of climate change is a substantial challenge in estuarine systems because the mixing of freshwater and ocean water adds complexity to climate change projections. Such climate change projections have been conducted in the San Francisco Estuary as part of the U.S. Geological Survey’s CASCaDE Project. In this project, we assessed downscaled air temperature data from 10 Global Climate Change models under 2 Representative Concentration Pathway (RCP) trajectories for greenhouse gas concentrations for three regions of the upper San Francisco Estuary: Suisun and Grizzly Bays, Suisun Marsh, and the legal Delta. We also utilized previously derived regression models to estimate future water temperatures at 16 locations within the upper estuary based on the projected air temperature data.<br><br>PurposeTo assess downscaled air temperature data from 10 Global Climate Change models under 2 Representative Concentration Pathway (RCP) trajectories for greenhouse gas concentrations for three regions of the upper San Francisco Estuary: Suisun and Grizzly Bays, Suisun Marsh, and the legal Delta. We also utilized previously derived regression models to estimate future water temperatures at 16 locations within the upper estuary based on the projected air temperature data.
DOI: 10.15468/dl.5sfjzg
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ameca splendens",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031582-251025141854904/datasets/export for details.
DOI: 10.34740/kaggle/dsv/13683373
title: Close-View-Flood-Dataset (CVFD)
DOI: 10.15468/dl.p9mn4d
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Phoebe motuonan, , , , , , , , )",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031584-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8ehaju
title: Occurrence Download

description: A dataset listing the 259 species recorded in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "StateProvince is Meta",
 "TaxonKey is Amphibia"
 ]
}

 The dataset's 259 records were derived from 83 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031577-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.psbtbt
title: Occurrence Download

description: A dataset containing 2515 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ictidomys parvidens"
 ]
}

 The dataset includes 2515 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031585-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7m9x7r
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ameiurus brunneus",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031586-251025141854904/datasets/export for details.
DOI: 10.15468/dl.24vxdm
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Italy",
 "Geometry POLYGON((15.03482 40.05509,18.61796 40.05509,18.61796 42.05642,15.03482 42.05642,15.03482 40.05509))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Issue is Geodetic datum assumed WGS84",
 "IucnRedListCategory is one of (NT, LC)",
 "OccurrenceStatus is Present",
 "TaxonKey is Melanargia arge"
 ]
}

 The dataset includes 6 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031587-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17361809
title: Inlists and mod files for Procyon binary evolution

description: MESA 24.06.1 from August of last year

MESA SDK 24.7.1 from August of last year

Included are the inlists used for the study of the procyon system, as well as some example mod and history files for a particular model. The model grid was ran over a large space of varying parameters, including initial mass and metallicity to study their effects on the final mass of the WD. Additionally, we hope to put constraints on the temperature, luminosity, and white dwarf mass by comparing this simulation to HST data. Lastly, we use these models to calculate an initial to final mass relation for the system.
DOI: 10.5281/zenodo.17361808
title: Inlists and mod files for Procyon binary evolution

description: MESA 24.06.1 from August of last year

MESA SDK 24.7.1 from August of last year

Included are the inlists used for the study of the procyon system, as well as some example mod and history files for a particular model. The model grid was ran over a large space of varying parameters, including initial mass and metallicity to study their effects on the final mass of the WD. Additionally, we hope to put constraints on the temperature, luminosity, and white dwarf mass by comparing this simulation to HST data. Lastly, we use these models to calculate an initial to final mass relation for the system.
DOI: 10.5281/zenodo.17436948
title: CS Knowledge Graph Dataset Family (CS-KG)

description: This repository contains the Computer Science Knowledge Graph (CS-KG) dataset family, a large-scale collection of heterogeneous knowledge graphs constructed from OpenAlex and Semantic Scholar metadata. The dataset captures relational structures among four key entity types—Papers, Authors, Venues, and Concepts—with five principal relation types:





AUTHORED (Author → Paper, asymmetric)




CITES (Paper → Paper, asymmetric and temporal)




PUBLISHED_IN (Paper → Venue, functional)




BELONGS_TO (Paper → Concept, hierarchical)




COLLABORATES_WITH (Author ↔ Author, symmetric)



Together, these relations form a multi-relational scholarly network well-suited for evaluating knowledge graph embeddings, relational learning, and geometric deep learning models.

Each subgraph—CS-1K, CS-10K, CS-100K, CS-1M, and CS-10M—represents progressively larger scales (from thousands to millions of entities) and preserves real-world relational diversity across hierarchical, symmetric, and asymmetric patterns. All datasets have been preprocessed to remove duplicates and maintain temporal consistency by publication year.
DOI: 10.5281/zenodo.17436947
title: CS Knowledge Graph Dataset Family (CS-KG)

description: This repository contains the Computer Science Knowledge Graph (CS-KG) dataset family, a large-scale collection of heterogeneous knowledge graphs constructed from OpenAlex and Semantic Scholar metadata. The dataset captures relational structures among four key entity types—Papers, Authors, Venues, and Concepts—with five principal relation types:





AUTHORED (Author → Paper, asymmetric)




CITES (Paper → Paper, asymmetric and temporal)




PUBLISHED_IN (Paper → Venue, functional)




BELONGS_TO (Paper → Concept, hierarchical)




COLLABORATES_WITH (Author ↔ Author, symmetric)



Together, these relations form a multi-relational scholarly network well-suited for evaluating knowledge graph embeddings, relational learning, and geometric deep learning models.

Each subgraph—CS-1K, CS-10K, CS-100K, CS-1M, and CS-10M—represents progressively larger scales (from thousands to millions of entities) and preserves real-world relational diversity across hierarchical, symmetric, and asymmetric patterns. All datasets have been preprocessed to remove duplicates and maintain temporal consistency by publication year.
DOI: 10.6084/m9.figshare.30611321
title: 16S rRNA amplicon sequences of total microbiota and intestinal microbiota from Caligus rogercresseyi

description: Sea lice (<i>Caligus rogercresseyi</i>) pose a significant sanitary threat to salmon aquaculture in Chile, yet their associated microbiota remains poorly understood. We used full‑length 16S rRNA amplicon sequencing and functional prediction to compare the total and intestinal microbiota of adult male and female sea lice.
DOI: 10.6084/m9.figshare.30611321.v1
title: 16S rRNA amplicon sequences of total microbiota and intestinal microbiota from Caligus rogercresseyi

description: Sea lice (<i>Caligus rogercresseyi</i>) pose a significant sanitary threat to salmon aquaculture in Chile, yet their associated microbiota remains poorly understood. We used full‑length 16S rRNA amplicon sequencing and functional prediction to compare the total and intestinal microbiota of adult male and female sea lice.
DOI: 10.3886/e240253
title: Climate Change Scenario Inundation Metrics along the Upper and Middle Mississippi and Lower Missouri Rivers

description: Within large-river ecosystems, floodplains serve a variety of important ecological functions. A recent survey of 80 managers of floodplain conservation lands along the Upper and Middle Mississippi and Lower Missouri Rivers in the central United States found that the most critical information needed to improve floodplain management centered on metrics for characterizing depth, extent, frequency, duration, and timing of inundation. These metrics can be delivered to managers efficiently through cloud-based interactive maps. To calculate these metrics, we interpolated an existing one-dimensional HEC-RAS hydraulic model for the Lower Missouri River, which simulated water surface elevations at cross sections spaced (&lt;1 kilometer) to sufficiently characterize water surface profiles along an approximately 800 kilometer stretch upstream from the confluence with the Mississippi River over an 80-year record at a daily time step. To translate these water surface elevations to inundation depths, we subtracted a merged terrain model consisting of floodplain LIDAR and bathymetric surveys of the river channel. We completed these calculations for an 800 kilometer stretch of the Missouri River, spanning from Rulo, Nebraska to the river's confluence with the Mississippi River. This approach resulted in a 29,000+ day time series of inundation depths across the floodplain using grid cells with 30 meter spatial resolution. This dataset presents 17 metrics for each of two scenarios, one using a baseline timeseries of stages from the HEC-RAS simulation and one using a timeseries of stages adjusted to account for changes in discharge under one possible climate change scenario. These metrics are calculated on a per pixel basis and encompass a variety of temporal criteria generally relevant to flora and fauna of interest to floodplain managers, including, for example, the average number of days inundated per year within a growing season. We also include a series of maps of water depths across the floodplain by return interval for each scenario, and the minimum return interval at which each pixel is inundated. Lastly, we include the base elevation layer that we generated to calculate depth of inundation from interpolated water-surface elevations.
DOI: 10.3886/e240253v1
title: Climate Change Scenario Inundation Metrics along the Upper and Middle Mississippi and Lower Missouri Rivers

description: Within large-river ecosystems, floodplains serve a variety of important ecological functions. A recent survey of 80 managers of floodplain conservation lands along the Upper and Middle Mississippi and Lower Missouri Rivers in the central United States found that the most critical information needed to improve floodplain management centered on metrics for characterizing depth, extent, frequency, duration, and timing of inundation. These metrics can be delivered to managers efficiently through cloud-based interactive maps. To calculate these metrics, we interpolated an existing one-dimensional HEC-RAS hydraulic model for the Lower Missouri River, which simulated water surface elevations at cross sections spaced (&lt;1 kilometer) to sufficiently characterize water surface profiles along an approximately 800 kilometer stretch upstream from the confluence with the Mississippi River over an 80-year record at a daily time step. To translate these water surface elevations to inundation depths, we subtracted a merged terrain model consisting of floodplain LIDAR and bathymetric surveys of the river channel. We completed these calculations for an 800 kilometer stretch of the Missouri River, spanning from Rulo, Nebraska to the river's confluence with the Mississippi River. This approach resulted in a 29,000+ day time series of inundation depths across the floodplain using grid cells with 30 meter spatial resolution. This dataset presents 17 metrics for each of two scenarios, one using a baseline timeseries of stages from the HEC-RAS simulation and one using a timeseries of stages adjusted to account for changes in discharge under one possible climate change scenario. These metrics are calculated on a per pixel basis and encompass a variety of temporal criteria generally relevant to flora and fauna of interest to floodplain managers, including, for example, the average number of days inundated per year within a growing season. We also include a series of maps of water depths across the floodplain by return interval for each scenario, and the minimum return interval at which each pixel is inundated. Lastly, we include the base elevation layer that we generated to calculate depth of inundation from interpolated water-surface elevations.
DOI: 10.15468/dl.nx8gtd
title: Occurrence Download

description: A dataset containing 415 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Carollia perspicillata perspicillata",
 "Year 1970-2025"
 ]
}

 The dataset includes 415 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031588-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.