cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e137621v1-198225
title: Formative education online: Teaching the whole person during the global COVID-19 pandemic

description: The COVID-19 pandemic challenged higher education and threatened students’ well-being. This qualitative study investigates
the strategies of 37 college faculty who provided successful whole-person or formative
education online.
DOI: 10.25934/pr00012578.0
title: Available datapackage for study 'Rapid Manufacturing Scale-up for Compact Point-of-Care EUA SARS-CoV-2 RT-PCR Test'

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.6073/pasta/009198bd58dda468fd476aa833d1e27b
title: Florida Bay Braun Blanquet, Everglades National Park (FCE LTER), South Florida, USA, September 2000 - ongoing

description: Braun Blanquet surveys determining frequency, abundance, and density for seagrass and macroalgae made during visits to TS/Ph (7a, 8, 9, 10, and 11) and Rabbit Key. Our long term research program focuses on the following central objective: Regional processes mediated by water flow control population and ecosystem level dynamics at any location within the coastal Everglades landscape. This phenomenon is best exemplified in the dynamics of an estuarine oligohaline zone where fresh water draining phosphorus-limited Everglades marshes mixes with water from the more nitrogen-limited coastal ocean. Graphic representation of data can be located at https://seagrass.fiu.edu/data.htm.
DOI: 10.15468/w4ua87
title: Species observations of Lounais-Suomen elinvoimakeskus

description: Species observations of Lounais-Suomen elinvoimakeskus
DOI: 10.5281/zenodo.18436013
title: Dataset for publication: "Placenames at the Margins of the Landscape: Peripheral Settlements, Ontological Instability, and Escape Ecologies in Central Europe"
DOI: 10.5281/zenodo.18436012
title: Dataset for publication: "Placenames at the Margins of the Landscape: Peripheral Settlements, Ontological Instability, and Escape Ecologies in Central Europe"
DOI: 10.3886/e155161v96
title: Advance Layoff Notice Data from the WARN Act

description: We collect novel and timely data from advance layoff notices filed under the Worker Adjustment and Retraining Notification (WARN) Act. The act requires larger employers to notify affected workers at least 60 days before a potential mass layoff. We assemble WARN data from across the United States, and for many large states our data begin in the 1990s. We aggregate these data into an unbalanced, monthly panel of the state-level number of workers affected by WARN notices, and we update this panel twice a month. We also aggregate this panel to a national-level indicator of job loss (the "WARN factor") using a dynamic factor model.<br>

<b><br>Data Collection</b><br>We update the data twice a month by collecting WARN
notices from state websites. For many states, we have extended our historical
data by using digital archives of the internet and contacting state
officials.<br> <br><b>Citation</b><br>To learn more about
the data and the dynamic factor model, see:<br>Krolikowski, Pawel M. and Kurt G. Lunsford. 2022. “Advance Layoff Notices and Aggregate Job Loss.” Federal Reserve Bank of Cleveland, Working Paper no. 20-03R. https://doi.org/10.26509/frbc-wp-202003R.<br>Krolikowski, Pawel M., and Kurt G. Lunsford. 2024 “Advance Layoff Notices and Aggregate Job Loss.” Journal of Applied Econometrics. https://doi.org/10.1002/jae.3032.<b><br><br></b><b>File Description</b><br>The file labelled WARNFiles_YYYYMMDD.zip in the
main directory contains our most recent data. All data included in this zip
file were collected as of the date listed in the file name. Previous
vintages of our data appear in the `Archived_Vintages’ folder, with the same
naming convention.<br>
<br>The zip files contain three files:<br>
<br>


1. 
README.txt

<br>2. 
WARNData_NSA_YYYYMMDD.csv


 
 This .csv contains the number of workers affected by
 WARN notices by state and month. These data are not seasonally adjusted.
 These data are the input into the dynamic factor model.
 


3. 
WARNFactors_YYYYMMDD.csv


 
 This .csv contains the output of the dynamic factor
 model. The output is labeled as follows:
 
 WARN Factor: the estimates of the factor from the
 dynamic factor model.
 MSE: the estimated mean squared errors
 of the WARN factor.
 WARN_hat: the number of workers affected by
 WARN notices as implied by the WARN factor.
 WARN_sum: the sum of the number of
 workers affected by WARN notices from several states that form a
 balanced panel beginning in January 2006. These states can change every
 update.<b>Disclaimer</b><br>These data are
updated by the authors and are not an official product of the Federal Reserve Bank of Cleveland.<br>
description: Smallest Geographic Unit: State
DOI: 10.15468/dl.ep4dbt
title: Occurrence Download

description: A dataset containing 493 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.occurrencestatus = 'PRESENT'
 AND GBIF_STRINGARRAYCONTAINS(occurrence.classifications['d7dddbf4-2cf0-4f39-9b2a-bb099caae36c'], '2456077', TRUE)
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND (occurrence.classificationdetails['d7dddbf4-2cf0-4f39-9b2a-bb099caae36c']['specieskey'] &lt;&gt; '' AND occurrence."year" IS NOT NULL)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year"

 The dataset's 493 records were derived from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002552-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25934/pr00012579.0
title: Available datapackage for study 'Accurate, Sensitive and Affordable POC and At Home Testing Device'

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.15468/dl.pvv4kz
title: Occurrence Download

description: A dataset containing 68 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation)",
 "Country is Uruguay",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Leopardus geoffroyi"
 ]
}

 The dataset includes 68 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002574-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6073/pasta/be138bef49e2040db4ce4e23b9cbced3
title: Climate warming and drought modify galling effects on tall goldenrod

description: These data and R scripts are from a study of climate change impacts on galling in goldenrod (Solidago altissima), at Kellogg Biological Station Long-Term Ecological Research (KBS LTER) site, Hickory Corners, Michigan, USA during the summers of 2021-2022 (REX 2024). This study set is part of the KBS LTER Rainfall Exclusion eXperiment (REX). Goldenrod plants with and without galls caused by Rhopalomyia solidaginis were exposed to warmed, drought, and warmed x drought treatments, and ambient (no treatment) and irrigated control conditions. Warming was achieved by use of open-top chambers for tall-stature plant communities (Welshofer et al. 2018 MEE) and a 6-week drought was implemented by use of rain-out shelters (Kahmark et al. 2024 Zenodo).
 L0 data are available upon request; they include the raw data from the KBS LTER REX project. The scripts that are used to clean L0 data and produce L1 data are also available upon request. The L1 data are the result of merged L0 data and are cleaned for typos and use standardized names. L1 data contain plant and gall traits from all treatments. The L2 scripts use the L1 data for statistical analyses and to create figures.
 
 Literature cited:
 Kahmark, K., Jones, M., Bohm, S., Baker, N., & Robertson, G. P. (2024). Rainfall manipulation shelters for agricultural research. Zenodo. https://doi.org/10.5281/zenodo.10607631. 
 
 Rain Exclusion eXperiment (REX). (2024). https://lter.kbs.msu.edu/research/rainfall-exclusion-experiment/. https://lter.kbs.msu.edu/research/rainfall-exclusion-experiment/.
 
 Welshofer KB, Zarnetske PL, Lany NK, Thompson LAE (2018) Open-top chambers for temperature manipulation in taller-stature plant communities. Methods Ecol Evol 9:254–259. https://doi.org/10.1111/2041-210X.12863.
DOI: 10.15468/dl.2xa3pu
title: Occurrence Download

description: A dataset containing 6633911 records in GBIF matching the query:
SELECT "gbifid", "taxonkey", "phylum", "class", "order", "eventdate" FROM occurrence WHERE ("hasgeospatialissues" = 'false') AND ("hascoordinate" = 'true') AND ("occurrencestatus" = 'PRESENT') AND ("decimallatitude" &gt;= 41) AND ("decimallatitude" &lt; 42) AND ("decimallongitude" &gt;= -71) AND "decimallongitude" &lt; -70 AND ("year" &lt;= 2025)

 The dataset's 6633911 records were derived from 606 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002571-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pryarc
title: Occurrence Download

description: A dataset containing 447178 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-119.77454 42.75147,-119.83517 38.68917,-119.71391 37.3856,-116.77329 35.65761,-115.19687 32.26225,-111.01331 31.01931,-101.73671 30.68584,-102.2824 42.84242,-119.77454 42.75147))",
 "OccurrenceStatus is Present",
 "TaxonKey is Squamata"
 ]
}

 The dataset includes 447178 records from 116 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002567-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7rfpf7
title: Occurrence Download

description: A dataset containing 393 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation)",
 "Country is Korea, Republic of",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Prionailurus bengalensis"
 ]
}

 The dataset includes 393 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002576-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25934/pr00012580.0
title: Available datapackage for study 'Ultra-Sensitive Immunoassay Test for Quantitation of SARS-CoV-2 Antigen'

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.15468/dl.erg7df
title: Occurrence Download

description: A dataset containing 867102 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is BRA.14_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 867102 records from 813 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002568-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qrbq8w
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sagamichthys Parr, 1953",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((40.877 -22.4563,40.8172 -22.0642,40.48 -21.825,40.0801 -21.8881,39.8467 -22.172,39.8612 -22.5315,40.2159 -22.8442,40.6757 -22.7649,40.877 -22.4563))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012185-250525065834625/datasets/export for details.
DOI: 10.25934/pr00011439
title: Demonstration and Testing Request (Stan's)

description: 
The ultimate vision of Vivli is to advance human health through clinical research data sharing, to respect and honor the contributions of clinical research participants.

Vivli increases the overall global capacity for effective data sharing, aggregation, re­-use & analysis of valuable clinical research data towards the ultimate goal of advancing science and improving human health.
DOI: 10.15468/dl.x4dmnf
title: Occurrence Download

description: A dataset containing 9681 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Diodia virginiana L.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 9681 records from 127 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012186-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rdstjn
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sagamichthys Parr, 1953",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((43.4313 -17.5054,43.9059 -19.9421,43.0686 -21.0649,42.7023 -21.9969,43.1619 -23.5254,43.213 -24.5373,43.6164 -25.1504,44.9648 -25.1504,44.9648 -16.1504,43.978 -16.1504,43.9239 -16.5407,43.4313 -17.5054))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012188-250525065834625/datasets/export for details.
DOI: 10.6084/m9.figshare.26994352
title: Replication Package for SmartNote: An LLM-powered, Personalised Release Note Generator That Just Works

description: The release note is a crucial document outlining changes in new software versions. It plays a key role in helping stakeholders recognise important changes and understand the implications behind them. Despite this fact, many developers view the process of writing software release notes as a tedious and dreadful task. Consequently, numerous tools (e.g., DeepRelease and Conventional Changelog) have been developed by researchers and practitioners to automate the generation of software release notes. However, these tools fail to consider project domain and target audience for personalisation, limiting their relevance and conciseness. Additionally, they suffer from limited applicability, often necessitating significant workflow adjustments and adoption efforts, hindering practical use and stressing developers. Despite recent advancements in natural language processing and the proven capabilities of large language models (LLMs) in various code and text-related tasks, there are no existing studies investigating the integration and utilisation of LLMs in automated release note generation. Therefore, we propose SmartNote, a novel and widely applicable release note generation approach that produces high-quality, contextually personalised release notes by leveraging LLM capabilities to aggregate, describe, and summarise changes based on code, commit, and pull request details. It categorises and scores (for significance) commits to generate structured and concise release notes of prioritised changes. We conduct human and automatic evaluations that reveal SmartNote outperforms or achieves comparable performance to DeepRelease (state-of-the-art), Conventional Changelog (off-the-shelf), and the projects' original release note across four quality metrics: completeness, clarity, conciseness, and organisation. In both evaluations, SmartNote ranked first for completeness and organisation, while clarity ranked first in the human evaluation. Furthermore, our controlled study reveals the significance of contextual awareness, while our applicability analysis confirms SmartNote's effectiveness across diverse projects.
DOI: 10.6084/m9.figshare.26994352.v3
title: Replication Package for SmartNote: An LLM-powered, Personalised Release Note Generator That Just Works

description: The release note is a crucial document outlining changes in new software versions. It plays a key role in helping stakeholders recognise important changes and understand the implications behind them. Despite this fact, many developers view the process of writing software release notes as a tedious and dreadful task. Consequently, numerous tools (e.g., DeepRelease and Conventional Changelog) have been developed by researchers and practitioners to automate the generation of software release notes. However, these tools fail to consider project domain and target audience for personalisation, limiting their relevance and conciseness. Additionally, they suffer from limited applicability, often necessitating significant workflow adjustments and adoption efforts, hindering practical use and stressing developers. Despite recent advancements in natural language processing and the proven capabilities of large language models (LLMs) in various code and text-related tasks, there are no existing studies investigating the integration and utilisation of LLMs in automated release note generation. Therefore, we propose SmartNote, a novel and widely applicable release note generation approach that produces high-quality, contextually personalised release notes by leveraging LLM capabilities to aggregate, describe, and summarise changes based on code, commit, and pull request details. It categorises and scores (for significance) commits to generate structured and concise release notes of prioritised changes. We conduct human and automatic evaluations that reveal SmartNote outperforms or achieves comparable performance to DeepRelease (state-of-the-art), Conventional Changelog (off-the-shelf), and the projects' original release note across four quality metrics: completeness, clarity, conciseness, and organisation. In both evaluations, SmartNote ranked first for completeness and organisation, while clarity ranked first in the human evaluation. Furthermore, our controlled study reveals the significance of contextual awareness, while our applicability analysis confirms SmartNote's effectiveness across diverse projects.
DOI: 10.15468/dl.67gdqk
title: Occurrence Download

description: A dataset containing 3273 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Brachiaria mutica (Forssk.) Stapf"
 ]
}

 The dataset includes 3273 records from 184 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012187-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xn52dw
title: Occurrence Download

description: A dataset containing 9831 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Dioscorea bulbifera L.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 9831 records from 286 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012189-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.up3kyq
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "OccurrenceStatus is Present",
 "TaxonKey is Tetramesa romana (Walker, 1873)"
 ]
}

 The dataset includes 10 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012190-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nsg4dd
title: Occurrence Download

description: A dataset containing 184723 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Festuca rubra L.",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 184723 records from 394 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012179-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.