cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14790680
title: Impacts of Riverine Heatwaves on Rates of Ecosystem Metabolism in the United States

description: These two time series are the main output of the manuscript entitled Impacts of Riverine Heatwaves on Rates of Ecosystem Metabolism that is in review with the journal Limnology and Oceanography Letters. The csv file "wtemp" is a daily mean water temperature (in degrees celcius) time series for 328 streams and rivers throughout the United States. The csv file "hw_metab" is a time series of riverine heatwaves and metabolism (GPP, ER, and NEP) metrics for 48 of the 328 sites that were ultimately utilized in this study. Version 2 has the metabolism estimates updated to remove GPP and ER if either were biologically unrealistic for a given site and day. 
description: Rivers produce and decompose large amounts of carbon globally due, in part, to high rates of Gross Primary Production (GPP) and Ecosystem Respiration (ER), collectively known as ecosystem metabolism. Water temperature is a major driver of ecosystem metabolism and in-stream temperatures are increasing globally, including extreme temperature events called heatwaves. This study used published estimates of daily GPP and ER from 48 stream and river locations in the United States to examine how ecosystem metabolism responds to riverine heatwaves. During low-severity heatwaves, GPP and ER increase proportionally resulting in no net difference. However, during severe and extreme heatwaves, GPP declined up to 84% while ER increased up to 39%, resulting in greater rates of heterotrophy (ER > GPP). While rivers were typically heterotrophic outside of heatwave conditions, these results suggest that during heatwaves, rivers become stronger sources of carbon dioxide.
DOI: 10.5281/zenodo.14790681
title: Impacts of Riverine Heatwaves on Rates of Ecosystem Metabolism in the United States

description: These two time series are the main output of the manuscript entitled Impacts of Riverine Heatwaves on Rates of Ecosystem Metabolism that is in review with the journal Limnology and Oceanography Letters. The csv file "wtemp" is a daily mean water temperature (in degrees celcius) time series for 328 streams and rivers throughout the United States. The csv file "hw_metab" is a time series of riverine heatwaves and metabolism (GPP, ER, and NEP) metrics for 48 of the 328 sites that were ultimately utilized in this study. 
description: Rivers produce and decompose large amounts of carbon globally due, in part, to high rates of Gross Primary Production (GPP) and Ecosystem Respiration (ER), collectively known as ecosystem metabolism. Water temperature is a major driver of ecosystem metabolism and in-stream temperatures are increasing globally, including extreme temperature events called heatwaves. This study used published estimates of daily GPP and ER from 48 stream and river locations in the United States to examine how ecosystem metabolism responds to riverine heatwaves. During low-severity heatwaves, GPP and ER increase proportionally resulting in no net difference. However, during severe and extreme heatwaves, GPP declined up to 84% while ER increased up to 39%, resulting in greater rates of heterotrophy (ER > GPP). While rivers were typically heterotrophic outside of heatwave conditions, these results suggest that during heatwaves, rivers become stronger sources of carbon dioxide.
DOI: 10.5281/zenodo.14884947
title: Impacts of Riverine Heatwaves on Rates of Ecosystem Metabolism in the United States

description: These two time series are the main output of the manuscript entitled Impacts of Riverine Heatwaves on Rates of Ecosystem Metabolism that is in review with the journal Limnology and Oceanography Letters. The csv file "wtemp" is a daily mean water temperature (in degrees celcius) time series for 328 streams and rivers throughout the United States. The csv file "hw_metab" is a time series of riverine heatwaves and metabolism (GPP, ER, and NEP) metrics for 48 of the 328 sites that were ultimately utilized in this study. 
description: Rivers produce and decompose large amounts of carbon globally due, in part, to high rates of Gross Primary Production (GPP) and Ecosystem Respiration (ER), collectively known as ecosystem metabolism. Water temperature is a major driver of ecosystem metabolism and in-stream temperatures are increasing globally, including extreme temperature events called heatwaves. This study used published estimates of daily GPP and ER from 48 stream and river locations in the United States to examine how ecosystem metabolism responds to riverine heatwaves. During low-severity heatwaves, GPP and ER increase proportionally resulting in no net difference. However, during severe and extreme heatwaves, GPP declined up to 84% while ER increased up to 39%, resulting in greater rates of heterotrophy (ER > GPP). While rivers were typically heterotrophic outside of heatwave conditions, these results suggest that during heatwaves, rivers become stronger sources of carbon dioxide.
DOI: 10.5281/zenodo.14884950
title: Impacts of Riverine Heatwaves on Rates of Ecosystem Metabolism in the United States

description: These two time series are the main output of the manuscript entitled Impacts of Riverine Heatwaves on Rates of Ecosystem Metabolism that is in review with the journal Limnology and Oceanography Letters. The csv file "wtemp" is a daily mean water temperature (in degrees celcius) time series for 328 streams and rivers throughout the United States. The csv file "hw_metab" is a time series of riverine heatwaves and metabolism (GPP, ER, and NEP) metrics for 48 of the 328 sites that were ultimately utilized in this study. Version 2 has the metabolism estimates updated to remove GPP and ER if either were biologically unrealistic for a given site and day. 
description: Rivers produce and decompose large amounts of carbon globally due, in part, to high rates of Gross Primary Production (GPP) and Ecosystem Respiration (ER), collectively known as ecosystem metabolism. Water temperature is a major driver of ecosystem metabolism and in-stream temperatures are increasing globally, including extreme temperature events called heatwaves. This study used published estimates of daily GPP and ER from 48 stream and river locations in the United States to examine how ecosystem metabolism responds to riverine heatwaves. During low-severity heatwaves, GPP and ER increase proportionally resulting in no net difference. However, during severe and extreme heatwaves, GPP declined up to 84% while ER increased up to 39%, resulting in greater rates of heterotrophy (ER > GPP). While rivers were typically heterotrophic outside of heatwave conditions, these results suggest that during heatwaves, rivers become stronger sources of carbon dioxide.
DOI: 10.15468/dl.xfdz9p
title: Occurrence Download

description: A dataset containing 5963 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "MediaType is Image",
 "ScientificName is Menyanthes trifoliata L."
 ]
}

 The dataset includes 5963 records from 167 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003869-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.63epp5
title: Occurrence Download

description: A dataset containing 8789 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((8.96111 44.59313,11.44102 45.11809,12.89164 46.00287,12.86434 48.15815,11.87959 49.05964,9.99147 49.7399,7.32945 49.73865,3.95581 49.01796,2.90154 47.40225,3.22908 44.9824,5.93132 44.49495,8.96111 44.59313))",
 "HasGeospatialIssue is false",
 "TaxonKey is Adscita Retzius, 1783"
 ]
}

 The dataset includes 8789 records from 100 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003870-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3vp7n8
title: Occurrence Download

description: A dataset containing 1522 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "MediaType is Image",
 "ScientificName is Pulsatilla vulgaris Mill."
 ]
}

 The dataset includes 1522 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003871-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14880355
title: Evaluating LLM-based Communicative Agents for Verilog Design - Experiment Log Artifacts

description: Contained in this archive is a zip file, which contains the output of running the experiment several times, as reported on in the ISQED 2025 paper.

The experiment's code is located in the following GitHub repository: https://github.com/parker-research/LLM-Hardware-Experiments/

Note: Redundant parquet files were removed from this archive. The parquet table files were redundant copies of the JSONL files.
DOI: 10.5281/zenodo.14880356
title: Evaluating LLM-based Communicative Agents for Verilog Design - Experiment Log Artifacts

description: Contained in this archive is a zip file, which contains the output of running the experiment several times, as reported on in the ISQED 2025 paper.

The experiment's code is located in the following GitHub repository: https://github.com/parker-research/LLM-Hardware-Experiments/

Note: Redundant parquet files were removed from this archive. The parquet table files were redundant copies of the JSONL files.
DOI: 10.15468/dl.vafvxq
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "MediaType is Image",
 "ScientificName is Stachys officinalis (L.) Franch., 1885"
 ]
}

 The dataset includes 17 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003872-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mr73g8
title: Occurrence Download

description: A dataset containing 1112 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-94.69236 3.05256,-63.25725 3.05256,-63.25725 15.62661,-94.69236 15.62661,-94.69236 3.05256))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Saguinus leucopus (Günther, 1877)"
 ]
}

 The dataset includes 1112 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003873-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.amjrd7
title: Occurrence Download

description: A dataset containing 5627 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "MediaType is Image",
 "ScientificName is Tanacetum vulgare L."
 ]
}

 The dataset includes 5627 records from 194 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003874-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.twkwjd
title: Occurrence Download

description: A dataset containing 6459 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "MediaType is Image",
 "ScientificName is Tussilago farfara L."
 ]
}

 The dataset includes 6459 records from 162 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003875-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.79pg3r
title: Occurrence Download

description: A dataset containing 8496 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Spheniscus mendiculus Sundevall, 1871"
 ]
}

 The dataset includes 8496 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003876-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gesaaa
title: Occurrence Download

description: A dataset containing 2917 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "MediaType is Image",
 "ScientificName is Vincetoxicum hirundinaria Medik."
 ]
}

 The dataset includes 2917 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003878-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3ra33s
title: Occurrence Download

description: A dataset containing 58 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is China",
 "TaxonKey is Rhinopithecus bieti A.Milne-Edwards, 1897",
 "Year 2000-2025"
 ]
}

 The dataset includes 58 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003880-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cwdjnn
title: Occurrence Download

description: A dataset containing 9327 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Schinus terebinthifolia Raddi"
 ]
}

 The dataset includes 9327 records from 76 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003879-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p8v69c
title: Occurrence Download

description: A dataset containing 9778 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "MediaType is Image",
 "ScientificName is Caltha palustris L."
 ]
}

 The dataset includes 9778 records from 186 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003881-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wjus6k
title: Occurrence Download

description: A dataset containing 241 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Callophrys hesseli (Rawson & Ziegler, 1950)"
 ]
}

 The dataset includes 241 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003882-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14884974
title: Dataset: Task lighting and circadian stimulation optimization in hospital environments: Pediatric Intensive Care Unit application
DOI: 10.5281/zenodo.14884975
title: Dataset: Task lighting and circadian stimulation optimization in hospital environments: Pediatric Intensive Care Unit application
DOI: 10.15468/dl.vktmrt
title: Occurrence Download

description: A dataset containing 1535 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "MediaType is Image",
 "ScientificName is Clematis recta L."
 ]
}

 The dataset includes 1535 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003883-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w6amem
title: Occurrence Download

description: A dataset containing 567 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-42.17358 -15.9166,-41.74303 -15.9166,-41.74303 -15.62343,-42.17358 -15.62343,-42.17358 -15.9166))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 567 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003885-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u3bpg3
title: Occurrence Download

description: A dataset containing 21742 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((4.45614 42.55953,11.07225 42.20411,16.84631 42.73649,22.25949 46.41906,20.4551 51.91697,13.95928 54.71823,6.62141 54.01745,-4.56583 48.69167,-1.6788 43.35187,4.45614 42.55953))",
 "HasGeospatialIssue is false",
 "TaxonKey is Adscita Retzius, 1783"
 ]
}

 The dataset includes 21742 records from 439 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003884-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0202930.10fu
title: SH0202930.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0202931.10fu
title: SH0202931.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0202932.10fu
title: SH0202932.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0202933.10fu
title: SH0202933.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0202934.10fu
title: SH0202934.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.