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

description: A dataset containing 13241 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Caricinella scabra, Maukschia scabra, Psyllophora davalliana, Psyllophora sieberiana, Vignea davalliana, Carex ericetorum, Carex approximata, Carex approximata interrupta, Carex brachyphylla, Carex ciliata)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Machine Observation)"
 ]
 }
 },
 "Continent is Europe",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 13241 records from 242 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043038-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s5fqje
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Paradoxornis margaritae",
 "Country is China",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043040-250811113504898/datasets/export for details.
DOI: 10.15468/dl.52dfsq
title: Occurrence Download

description: A dataset containing 77 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Erodium cicutarium",
 "Country is Japan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 77 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043041-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4suh8h
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Tetracentrum caudovittatus)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043042-250811113504898/datasets/export for details.
DOI: 10.15485/2530791
title: Water quality data collected from the Muskegon River (MI, USA) using AquaBOT June-July 2024.

description: This dataset contains processed output from AquaBOT, which combines 30-second interval measurements of GPS location and YSI water quality parameters (temperature (degrees Celsius), dissolved oxygen (mg/l), specific conductance(microSiemens/cm at 25 degrees Celsius), and turbidity (NTU)), for 3 sections of the Muskegon River in Michigan, USA. The file aquabot2024_MuskegonRiver.csv has information on locations, dates and times, and observations. The data were processed by removing observations recorded before and after AquaBOT was in the water and observations where no data values were recorded. No other QA/QC was done. This research was performed as part of the DOE Research Development and Partnership Pilot award “Expanding Collaborative Capacity to Address Climate Resiliency in the Great Lakes Region”, which aims to expand collaborations between researchers at Central Michigan University and U.S. Department of Energy labs and projects focused on enhancing climate resilience in Great Lakes communities and ecosystems.
DOI: 10.21227/dtvy-5q25
title: "Enhancing Agile Development: A Comparative Analysis of LLMs for User Story Generation (Dataset)"

description: "The growing integration of Artificial Intelligence (AI) into software engineering is reshaping how requirements are captured, refined, and managed. In Agile development, user story creation and estimation remain among the most labor-intensive tasks, often marked by inefficiency and inconsistency, which in turn creates opportunities for automation using Large Language Models (LLMs). This study presents a systematic evaluation of 20 state-of-the-art LLMs in generating user stories and estimating story points for Agile Project Management. Unlike prior studies that focus narrowly on individual models or prompting strategies, we develop a comprehensive benchmarking framework that integrates Retrieval-Augmented Generation (RAG), Declarative Self-improving Python (DSPy) with MIPROv2 optimization, and fine-tuned agent-based methods. Our methodology introduces a novel composite scoring system that jointly assesses semantic accuracy, structural quality, estimation precision, readability, time efficiency, cost-effectiveness, and model stability. We conduct extensive experiments using the Neo dataset, a large-scale corpus of 40,014 user stories across 34 real-world projects, and complement them with stakeholder surveys to validate quantitative findings against expert human judgment. The models demonstrated varying strengths, with semantic accuracy, as measured by ROUGE-L Scores, ranging from 14.75\\% to 18.19\\% in alignment with human-authored titles. For estimation precision, Binary Points Scores varied significantly from 30\\% to 80\\% across the evaluated models, highlighting distinct, model-specific capabilities in story point estimation. Crucially, a subsequent stakeholder survey validated these quantitative findings, further revealing that a strategic combination of leading models outperforms any single-model approach. This work provides actionable insights into the performance characteristics of different LLMs when applied to fundamental Agile tasks, demonstrating that a Mixture of Multimodal Interaction Experts approach can effectively balance performance, cost, and practical applicability in the real-world environment."
DOI: 10.15468/dl.es4twq
title: Occurrence Download

description: A dataset containing 58 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Colombia",
 "OccurrenceStatus is Present",
 "TaxonKey is Mastigodryas pleii",
 "Year 2024-2025"
 ]
}

 The dataset includes 58 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043043-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15485/1362279
title: NGEE Arctic CO2, CH4 and Energy Eddy-Covariance (EC) Flux Tower Auxiliary Measurements, Utqiagvik (Barrow), Alaska, 2012 - 2019

description: Measurements began in September 2012 and are generally made throughout the snow-free growing season starting from April (pre-thawing) until November (freeze-up) when the instrumentation is taken down for maintenance and instrument calibration. CO2, CH4 and energy fluxes using the Eddy Covariance (EC) technique (Baldocchi 2003) and meteorological measurements are reported as 30-minute averages. The tower site is registered with AmeriFlux as US-NGB. See http://ameriflux.lbl.gov/sites/siteinfo/US-NGB for more information. Reported data include: (1) additional/extra meteorological and eddy covariance CO2, CH4 and energy flux data, (2) binned spectra for the three wind components, the sonic temperature and gas densities together with the binned cospectra for covariances of w (vertical wind component) and gas densities, (3) binned ogives (cumulative (co)spectra) for the three wind components, the sonic temperature and gas densities, and (4) tower site footprint matrices. Meteorological and eddy covariance CO2, CH4 and energy flux data (AmeriFlux BASE data product) are available from AmeriFlux https://doi.org/10.17190/AMF/1436326. The tower site is adjacent to the NGEE Arctic Tram system with several complementary time-series measurements https://doi.org/10.5440/1558782.This dataset supersedes the previously released dataset "Eddy-Covariance and auxiliary measurements, NGEE-Barrow, 2012-2013" DOI:10.5440/1124200 as this new product includes data for the longer time period processed using consistent methods for the entire record. The Next-Generation Ecosystem Experiments: Arctic (NGEE Arctic), was a research effort to reduce uncertainty in Earth System Models by developing a predictive understanding of carbon-rich Arctic ecosystems and feedbacks to climate. NGEE Arctic was supported by the Department of Energy's Office of Biological and Environmental Research. The NGEE Arctic project had two field research sites: 1) located within the Arctic polygonal tundra coastal region on the Barrow Environmental Observatory (BEO) near Utqiagvik (Barrow), Alaska and 2) multiple areas in the discontinuous permafrost region of the Seward Peninsula north of Nome, Alaska. Through observations, experiments, and synthesis with existing datasets, NGEE Arctic provided an enhanced knowledge base for multi-scale modeling and contributed to improved process representation at global pan-Arctic scales within the Department of Energy's Earth system Model (the Energy Exascale Earth System Model, or E3SM), and specifically within the E3SM Land Model component (ELM).
DOI: 10.15485/1866618
title: Vegetation Warming Experiment: Chamber and ambient plot digital camera imagery for vegetation phenology, Utqiagvik (Barrow), Alaska, 2021

description: Time lapse photography of experimental plots within five warming chambers (ZPWs) and paired control plots located on the Barrow Environmental Observatory (BEO), Utqiagvik, Alaska. Images were recorded from 17 June to 19 September, 2021 to capture vegetation dynamics during the growing season. Vegetation phenology, including green up and senescence were captured. Images were recorded daily at 30 minute intervals, from 09:00 - 16:30 Alaska daylight time (AKDT, UTC-8), using Wingscapes TimelapseCam Pro cameras. The target species was Carex aquatilis. Individual jpg images from each camera have been combined in zip format. The data package includes a metadata document with example fields of view from each camera (*.pdf). The Next-Generation Ecosystem Experiments: Arctic (NGEE Arctic), was a research effort to reduce uncertainty in Earth System Models by developing a predictive understanding of carbon-rich Arctic ecosystems and feedbacks to climate. NGEE Arctic was supported by the Department of Energy's Office of Biological and Environmental Research. The NGEE Arctic project had two field research sites: 1) located within the Arctic polygonal tundra coastal region on the Barrow Environmental Observatory (BEO) and the North Slope near Utqiagvik (Barrow), Alaska and 2) multiple areas on the discontinuous permafrost region of the Seward Peninsula north of Nome, Alaska. Through observations, experiments, and synthesis with existing datasets, NGEE Arctic provided an enhanced knowledge base for multi-scale modeling and contributed to improved process representation at global pan-Arctic scales within the Department of Energy's Earth system Model (the Energy Exascale Earth System Model, or E3SM), and specifically within the E3SM Land Model component (ELM).
DOI: 10.15468/dl.t7cx27
title: Occurrence Download

description: A dataset containing 48 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Erodium cicutarium",
 "Country is Peru",
 "HasCoordinate is true"
 ]
}

 The dataset includes 48 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043045-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6rdb2j
title: Occurrence Download

description: A dataset containing 104 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Costa Rica",
 "TaxonKey is Macropsychanthus comosus"
 ]
}

 The dataset includes 104 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043046-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vkrtz7
title: Occurrence Download

description: A dataset containing 1807 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Erodium cicutarium",
 "Country is Mexico",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1807 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043044-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3wuaug
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Carex ericetorum elongata, Carex ericetorum membranacea, Carex ericetorum nigra, Carex ericetorum nigra, Carex ericetorum pallescens, Carex ericetorum tenella, Carex ericetorum approximata, Carex ericetorum baicalensis, Carex ericetorum baicalensis, Carex ericetorum alpicola)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Machine Observation)"
 ]
 }
 },
 "Continent is Europe",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 11 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043047-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3f8eag
title: Occurrence Download

description: A dataset containing 1305 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lemur catta"
 ]
}

 The dataset includes 1305 records from 86 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043049-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mvpkd4
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Paradoxornis ruficeps",
 "Country is China",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043050-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16943691
title: Data used in PanPep Reusaibility Report
DOI: 10.5281/zenodo.16943690
title: Data used in PanPep Reusaibility Report
DOI: 10.15468/dl.b72vxj
title: Occurrence Download

description: A dataset containing 5225 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Erodium cicutarium",
 "Country is Russian Federation",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5225 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043051-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nr6fs7
title: Occurrence Download

description: A dataset containing 99 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Jupiaba essequibensis)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 99 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043053-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yvgw75
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Erodium cicutarium",
 "Country is Yemen",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043055-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.trrm4z
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Carex ericetorum approximata, Carex ericetorum approximata, Carex ericetorum aproximata, Carex ericetorum membranacea, Carex ericetorum membranacea, Carex ericetorum mollior, Carex ericetorum strictifolia, Carex globularis, Carex membranacea, Carex membranacea)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Machine Observation)"
 ]
 }
 },
 "Continent is Europe",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 20 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043056-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.73j8jt
title: Occurrence Download

description: A dataset containing 37327 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Erodium cicutarium",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 37327 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043054-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bj7sfn
title: Occurrence Download

description: A dataset containing 114 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-75.72684 -18.43115,-69.3889 -18.43115,-69.3889 -14.469,-75.72684 -14.469,-75.72684 -18.43115))",
 "HasGeospatialIssue is false",
 "TaxonKey is Ardea cocoi",
 "Year 2020-2025"
 ]
}

 The dataset includes 114 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043057-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5885/45774ce-134b067ee2a54b11
title: Soil volumetric water content and temperature data, Tasiapik Valley, Nunavik, Canada (2014-2021)
title: Données de teneur en eau volumétrique et de température du sol, vallée Tasiapik, Nunavik, Canada (2014-2021)

description: This dataset includes soil volumetric water content and temperature data from a permafrost mound (i.e., lithalsa) located within the Tasiapik Valley, near the village of Umiujaq, Nunavik, Quebec, Canada. The data come from two different sample locations, one at the top and one at the side of the permafrost mound. The depth of investigation was 3.55 meters for the top of the permafrost mound, and 2 meters for the side of the permafrost mound. Data were collected from 4 July 2014 – 27 June 2021 using Decagon© 5TM volumetric water content and temperature probes. These data support the article Fortier et al. (2023).
description: Ces données sur la teneur en eau volumétrique et la température du sol ont été obtenues pour une butte de pergélisol (lithalse) située dans la vallée de Tasiapik, près du village d'Umiujaq, Nunavik, Québec, Canada. Les données proviennent de deux emplacements différents, soit le sommet et le côté de la butte de pergélisol. La profondeur maximale d'investigation est de 3,55 mètres pour le sommet de la butte de pergélisol, et de 2 mètres pour le côté de la butte de pergélisol. Les données ont été collectées du 4 juillet 2014 au 27 juin 2021 à l'aide de sondes de teneur en eau volumétrique et de température Decagon © 5TM. Ces données viennent en complément de l'article Fortier et al. (2023).
DOI: 10.5885/45777ce-6de973bf24044a75
title: Water level data, Tasiapik Valley, Nunavik, Canada (2014-2021)
title: Données de niveaux d'eau souterraine, vallée Tasiapik, Nunavik, Canada (2014-2021)

description: This dataset includes groundwater level data from four wells located on a permafrost mound (lithalsa) and its surroundings, within the Tasiapik Valley, near the village of Umiujaq, Nunavik, Quebec, Canada. The water levels are measured continuously within an unconfined sandy aquifer at the top (1 well; Sommet 1/TOP 1) and the side (2 wells; Côté 1/SIDE 1, Côté 2/SIDE 2) of the permafrost mound. Additionally, the water level is measured in a well (Silt 1/SILT 1) installed in a confining silt layer located below the superficial aquifer. Data were collected from 16 July 2014 – 28 June 2021 with Solinst Levelogger® water level dataloggers. Soils stratigraphy and well construction details are given below. These data support the article Fortier et al. (2023).
description: Cet ensemble de données comprend des données sur le niveau d'eau souterraine dans quatre puits situés sur une butte de pergélisol (lithalse) et ses alentours dans la vallée de Tasiapik, près du village d'Umiujaq, Nunavik, Québec, Canada. Les niveaux d'eau sont mesurés en continu dans un aquifère superficiel sur le sommet (1 puits; Sommet 1/TOP 1) et sur le côté (2 puits; Côté 1/SIDE 1, Côté 2/SIDE 2) de la butte de pergélisol. De plus, le niveau d'eau est mesuré dans un puits (Silt 1/SILT 1) installé dans une couche confinante de silt située sous l'aquifère superficiel. Les données ont été collectées du 16 juillet 2014 au 28 juin 2021 à l'aide de sondes à niveau d'eau Solinst Levelogger®. Ces données viennent en complément de l'article Fortier et al. (2023).
DOI: 10.15468/dl.bshgpp
title: Occurrence Download

description: A dataset containing 4535 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "OccurrenceStatus is Present",
 "TaxonKey is Adiantum pedatum"
 ]
}

 The dataset includes 4535 records from 100 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043058-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.