cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18739/a2cf9j84m
title: Thermokarst-pond plant community characteristics and effects on ice-wedge degradation in the Prudhoe Bay region, Alaska (2021-2022)

description: This thesis was prepared by Emily Watson-Cook as part of a Master of Science degree in Biological Sciences at the University of Alaska Fairbanks. 
 Ice-wedge thermokarst ponds are forming in many areas of the Arctic as a result of climate warming and infrastructure development. Previous research suggests that the development of aquatic vegetation within these ponds may play a protective role in the process of ice-wedge degradation by reducing pond-bottom temperatures and seasonal thaw depths. To evaluate the potential insulative role of aquatic vegetation on sediment temperatures and thaw, plant communities were characterized in 39 vegetation plots located in 29 thermokarst ponds of varying sizes and ages at two adjacent research sites in the Prudhoe Bay region of Alaska.
 Analyses grouped vegetation plots into three broad types: moss-dominated, forb-dominated, and sparsely vegetated. Vegetation cover, moss thickness, and organic layer thickness were all negatively correlated with thaw depth. While sediment temperature was only monitored over a five-week period from mid-July to late-August, vegetation cover was found to be negatively correlated with temperature. Most notably, results indicate that aquatic plant communities with high moss biomass have a high capacity for insulation that potentially reduces permafrost thaw and ice-wedge degradation, leading to ice-wedge stabilization. The study provides descriptions of relatively understudied aquatic plant communities that play an important role in permafrost landscape change.
DOI: 10.18739/a2cj87n5z
title: eXpendable Conductivity Temperature Depth (XCTD) profiles of temperature and salinity from Sermilik Fjord, Southeast Greenland during July 2023

description: Twelve temperature and salinity profiles from Sermilik Fjord in Southeast Greenland. The profiles were collected using Sippican XCTD-1 eXpendable Conductivity Temperature Depth (XCTD) probes hand deployed from a helicopter. The profiles were collected on July 12, 2023 in the ice mélange of Helheim Glacier and in the northern portion of Sermilik Fjord, including Midgaard Fjord. The profiles were manually examined, quality controlled, and are provided as 2-meter (m) depth bin averaged profiles. These data were collected as part of a long-term project to monitor Sermilik Fjord to determine what water masses flow into and out of the fjord; in particular, if warm, Atlantic water from the Irminger Sea penetrates into the fjord and how freshwater from ice melt is diluted and transported out of the fjord. Observations have been collected in the fjord since 2008.
DOI: 10.18739/a2cr5nf36
title: Aerosol, trace gas and meteorological data measured at the University of Alaska Fairbanks Farm site in Fairbanks, Alaska during the Alaskan Layered Pollution And Chemical Analysis (ALPACA)-2022 field study

description: These measurements were made as part of the Alaskan Layered Pollution And Chemical Analysis (ALPACA)-2022 field study (https://alpaca.community.uaf.edu/alpaca-field-study/), which investigated air pollution under dark and cold conditions in Fairbanks, Alaska in January and February, 2022. This data set includes aerosol measurements (Number concentration above 7 nanometer (nm), number size distribution for mobility diameters between 8 and 1500 nm and optical diameters between 186 and 3370 nm, light absorption coefficients at wavelengths of 450, 525 and 624 nm), trace gas measurements (Carbon monoxide (CO) and ozone (O3)) and meteorological measurements (Barometric pressure, temperature, relative humidity, wind speed and direction and four-component radiation fluxes). Measurements were performed at the University of Alaska (UAF) Farm site, a suburban area of Fairbanks (64.853°N, 147.859°W, 138 meter above sea level). The UAF Farm site was the location of vertical measurements of the layered pollution. The current dataset represents a ground-based reference for the vertical measurements.
DOI: 10.18739/a2cv4bt4j
title: Arctic-boreal fire atlas: 12-hourly perimeters of individual fires in the Arctic-boreal domain from 2012 to 2023

description: This dataset is an individual fire event database spanning the circumpolar Arctic-boreal domain. The dataset provides ignition locations and 12-hourly fire perimeters and active fire lines for all Arctic-boreal fires between 2012 and 2023. Vector-based perimeters were retrieved from 375m Visible Infrared Imaging Radiometer Suite (VIIRS) active fire detections using an Arctic-boreal specific fire tracking algorithm. In particular, the algorithm was designed to handle very large fires with fragmented fire detections, very long smouldering times and deriving accurate fire perimeters in landscapes fragmented by many surface water bodies. Archive active fire data from VIIRS was used for 2012 to 2021, and near-real time VIIRS data for 2022 and 2023, when archive data was not available. This object-based fire event data allows for the characterization of fire types and fire regimes in the Arctic-boreal domain, and may be of use for validating and improving operational fire spread models used in fire management as well as global fire models.
DOI: 10.18739/a2cv4bt51
title: Biogeochemistry of streams draining to Kobbefjord, Greenland, 2019

description: We sampled streams draining to Kobbefjord, Greenland during two periods in July 2019. Sampled streams drain glacial meltwater and lake outlets, plus soil water sources that were collected from small seep-fed tributaries to the mainstream channels that lack any glacial meltwater. We utilized variations in water isotopes (d18O, dD) at the watershed outlet stream compared to putative water source end members (seep-fed streams draining soil water, lakes, glacial meltwater) to determine variations in the source of water to the watershed outlet between sampling periods. Period 1 was characterized by higher contributions from the glacial meltwater due to higher insolation and temperature than Period 2, which was characterized by higher contributions from soil water sources. The concentrations of greenhouse gases (CO2 and CH4), as well as products of mineral weathering reactions (as determined by a mass balance model utilizing major cation and anion concentrations in stream water) varied between sampling periods. Period 1 had greater export of mineral weathering products and lower exports of dissolved CH4, making the net carbon balance negative, while Period 2 had lower exports of mineral weathering products and high exports of CH4, making the net carbon balance positive. Our results indicate that weathering of fresh comminuted sediment dominates in glacial meltwater during glacial to interglacial transitions, resulting in net CO2 sinks, as exemplified by Period 1 sampling. In contrast, deglaciated landscapes that form OC rich soils are sites of biogeochemical reactions with more mature weathering that enhances CO2 and CH4 production and limits CO2 consumption.
DOI: 10.18739/a2cz3268r
title: Infrastructure Development and Ice Wedge Thermokarst Formation in Point Lay (Kali), Alaska between 1949 and 2019

description: This dataset documents changes in infrastructure development and associated ice wedge thermokarst formation in Point Lay (Kali), Alaska, between 1949 and 2020. The data include vector-based Geographic Information System (GIS) layers derived from high-resolution remote sensing imagery and historical aerial photographs for three key time points: 1949, 1974, and 2019/20. Infrastructure features (e.g., roads, runways, gravel pads, and buildings) were manually digitized, and the extent of ice wedge thermokarst was mapped using detailed image interpretation techniques at 1:500 scale. The dataset supports spatial analysis of thermokarst expansion in relation to anthropogenic disturbance and surface development. Findings reveal a near tenfold increase in ice wedge thermokarst extent in developed areas between 1974 and 2019, with minimal changes in adjacent undisturbed tundra, underscoring the synergistic impact of infrastructure and climate warming on permafrost degradation. These data provide a valuable baseline for tracking permafrost-related landscape changes and informing adaptation strategies in Arctic communities experiencing thaw-related infrastructure challenges.
DOI: 10.18739/a2d21rm23
title: MODIS/Terra Vegetation Indices 16-Day L3 Global 500m SIN Grid V061

description: The Terra Moderate Resolution Imaging Spectroradiometer (MODIS) Vegetation Indices 16-Day (MOD13A1) Version 6.1 product provides Vegetation Index (VI) values at a per pixel basis at 500 meter (m) spatial resolution. There are two primary vegetation layers. The first is the Normalized Difference Vegetation Index (NDVI), which is referred to as the continuity index to the existing National Oceanic and Atmospheric Administration-Advanced Very High Resolution Radiometer (NOAA-AVHRR) derived NDVI. The second vegetation layer is the Enhanced Vegetation Index (EVI), which has improved sensitivity over high biomass regions. The algorithm for this product chooses the best available pixel value from all the acquisitions from the 16 day period. The criteria used is low clouds, low view angle, and the highest NDVI/EVI value.
 Provided along with the vegetation layers and two quality assurance (QA) layers are reflectance bands 1 (red), 2 (near-infrared), 3 (blue), and 7 (mid-infrared), as well as four observation layers.
DOI: 10.18739/a2d50g02c
title: Discrete water samples collected from the Conductivity-Temperature-Depth rosette at specific depths, Canadian Coast Guard Service (CCGS) Sir Wilfrid Laurier, Northern Bering Sea to Chukchi Sea, 2023

description: The Pacific sector of the Arctic Ocean is experiencing major reductions in seasonal sea ice extent and increases in sea surface temperatures. One of the key uncertainties in this region is how the marine ecosystem will respond to seasonal shifts in the timing of spring sea ice retreat and/or delays in fall sea ice formation. Variations in upper ocean water hydrography, planktonic production, pelagic-benthic coupling and sediment carbon cycling are all influenced by sea ice and temperature change. To more systematically track the broad biological response to sea ice retreat and associated environmental change, an international consortium of scientists have developed a coordinated Distributed Biological Observatory (DBO) that includes selected biological measurements at multiple trophic levels, along with satellite and mooring measurements. The DBO currently focuses on five regional biological "hotspot" locations along a latitudinal gradient that allows for consistent sampling and monitoring at five biologically productive locations across a latitudinal gradient: DBO 1 (SLIP) - south of St. Lawrence Island (SLI), DBO2 (Chirikov) - north of SLI, DBO3 (southern Chukchi Sea), DBO4 - NE Chukchi Sea, and DBO5 - Barrow Canyon.
DOI: 10.18739/a2d50g04b
title: Modeling changes in Siberian forests under climate change, 2020-2024

description: Boreal forests are found at high northern latitudes and form the largest terrestrial biome in the world. They comprise 30-50% of the world’s forest carbon stocks (vs. 14% in temperate forests. Temperatures are increasing rapidly in high northern latitudes (IPCC 2021), resulting in modified disturbance regimes and thawing of permafrost, and the socio-economic pressure to harvest timber is growing in currently unharvested areas. Attempts to predict how these changes will affect boreal forests must account for interactions among multiple disturbances (e.g., wind, insects, fire, harvest), seed dispersal, species growth and competition, and changing climate, and therefore uncertainty persists about how these changes will affect composition and function of this biome. Our objectives for this research were to 1) Use LANDIS-II to project forest dynamics under a range of climate and disturbance scenarios across a latitudinal gradient spanning the Siberian taiga from the arctic tundra to steppe ecotones, 2) Quantify the change in albedo and harvesting across bioclimatic zones and climates, 3) Identify the factor(s) that are the strongest drivers of these changes
DOI: 10.18739/a2d795c73
title: Turbulent flux measurements of carbon dioxide, methane, ozone and dimethylsulfide from the RV Polarstern bow tower during the 2019-2020 MOSAiC (Multidisciplinary drifting Observatory for the Study of Arctic Climate) expedition

description: These are the turbulent flux results for selected climate-active trace gas species measured from the bow tower on the icebreaker RV Polarstern during the MOSAiC expedition, from October 2019 to October 2020. Instrumentation on the bow tower included: a heated 3-D ultrasonic anemometer (Metek model USA-1) at a height of either 20m (Legs 1-3) or 18m (Legs 4-5); a Licor 7500DS open path water vapor sensor positioned 1.5 m below the transducer array of the Metek sonic; and an RM Young 2- D heated sonic anemometer positioned 0.5 m below the Licor. The 2-D sonic provided wind speed and wind direction for the gas sampling inlet control system, which limits air sampling to periods of favorable relative wind direction (typically ± 120° from the bow). Results are hourly means, filtered for optimal conditions. A full description of the flux calculations, filtering and averaging procedures, and variable definitions is provided in an associated readme document.
DOI: 10.18739/a2df6k53c
title: Heavy Metal and Nutrient Concentrations in West Greenland Lakes (Summer 2023)

description: This dataset has been analyzed in a manuscript accepted to Science of the Total Environment titled: Glacially-fed lakes of West Greenland have elevated metal and nutrient concentrations and serve as regional repositories of these materials. This dataset provides information on heavy metal and nutrient concentrations in the water and sediment of four glacially-fed (GF) and four snow and groundwater-fed (SF) lakes near Kangerlussuaq, West Greenland during the summer of 2023.
 This data was used to investigate 1) the difference in nutrient and heavy metal concentrations between GF and SF lakes; 2) the ability of GF lakes to act as sinks of nutrients and heavy metals; and 3) the temporal trends in heavy metals in GF and SF lakes. The overall objective was to gain a better understanding of nutrient and heavy metal concentration in GF lakes and the role that GF lakes play in the movement and fate of these chemical elements in terms of the land to ocean aquatic continuum.
 The data showed that 1) GF lakes had higher concentrations of nutrients and most heavy metals in both the water and sediment compared to SF lakes; 2) GF lakes serve as sinks of nutrients and metals; and 3) mercury and lead have increased over time in SF lakes.
 Included below are five datasets of 1) nutrient and heavy metal concentrations in the surface water, 2) nutrient and heavy metal concentrations in sediment cores, 3) percent organic carbon from sediment cores, 4) delta-15 nitrogen (δ15N) from sediment cores, and 5) mercury concentrations in sediment cores from GF and SF lakes. A dataset with information on lake characteristics and coordinates is also included.
DOI: 10.20350/digitalcsic/17352
title: Corpus ACME

description: [Description of methods used for collection/generation of data] Source files (documents, web pages and images) were collected from publicly available sources, and plain text files were generated from them by using text extraction tools. Audio files were generated by interviewing people, and then transcribed by hand. Model files (.lla, .lly) were created by using LogosLink (www.iatml.org/logoslink) and then edited by hand by applying the IAT/ML methodology (www.iatml.org) guidelines (www.iatml.org/en/Resources). The .llc file was also created by using LogosLink.
description: [Methods for processing the data] The complete corpus was packaged into ACME.llp by using LogosLink.
description: [Controlled vocabularies/ontologies used] Ontologies in the corpus are derived from CHARM www.charminfo.org
description: Este corpus contiene los 516 documentos (324.090 palabras) analizados como parte del proyecto ACME "Patrimonio 3.0: Modelado Argumentativo y Conceptual para la Mejora de la Participación y las Políticas de Gestión en Patrimonio Cultural" financiado mediante la ayuda PID2020-114758RB-I00 de MCIN/AEI/10.13039/501100011033. El corpus contiene publicaciones, entrevistas y focus groups grabados en audio y transcritos a texto referidos a los cinco casos de estudio del proyecto: el municipio de Ames (A Coruña), Mansilla de la Sierra (La Rioja), el Pont del Diable (Martorell/Castellbisbal, Barcelona), el Pórtico de la Gloria (Santiago de Compostela, A Coruña) y la Fábrica de la Trinidad (Sevilla). Además de los documentos fuente y sus transcripciones a texto simple, el corpus también contiene los modelos confeccionados a partir de muchos de ellos, incluyendo modelos de contexto, ontológicos, argumentales y agenciales. El corpus se proporciona en forma de paquete de LogosLink. Para poder abrirlo y explorarlo, se debe descargar e instalar la herramienta LogosLink desde www.iatml.org/logoslink, y seguir las instrucciones para restituir el corpus a partir de un paquete que se pueden encontrar en http://www.iatml.org/LogosLinkDoc/UsersManual/en/HowTo/PackageAndUnpackageCorpus.aspx
description: ACME.llp
DOI: 10.18739/a2dr2pb3f
title: Cell Recoverability and Metabolism of Colwellia Psychrerythraea During Yearlong Incubations At Ultra-Cold Temperatures, 2020-2021

description: Liquid water is essential to life as we know it, yet most planets and moons in our solar system have surface temperatures well below the freezing point of pure water. As part of an effort to identify potential biosignatures and biosignature targets for upcoming space-exploration life detection missions, arctic strain Colwellia psychrerythraea 34H was incubated at a range of ultra-cold temperatures over the course of a year-long study. Samples were examined for cell abundance, recoverability, and metabolic activity over the course of the incubation period at -36, -70, and -196 degrees Celsius (°C). This is the compiled raw data from these experiments. This research was undertaken at the Applied Physics Laboratory at the University of Washington, Seattle between 2020 and 2021.
DOI: 10.15468/dl.ptwpj2
title: Occurrence Download

description: A dataset containing 23771 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Pseudonocardia Henssen, 1957"
 ]
}

 The dataset includes 23771 records from 347 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016840-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18445910
title: GoEmotions-RU: A Rehydratable Roman Urdu Emotion Dataset (ON/OFF Ablation)

description: GoEmotions Roman Urdu (Rehydratable) — Ablation ON/OFF is a Roman Urdu emotion classification dataset derived from the HuggingFace GoEmotions benchmark (simplified configuration).

The release provides two ablation views: OFF, containing a single primary Roman Urdu translation per example, and ON, which expands each example with multiple Roman Urdu spelling variants to support robustness and ablation studies.

To comply with the licensing terms of the original dataset, this Zenodo release does not include the original English text. Instead, it follows a rehydratable release strategy: each record is identified by a stable global_id that allows users to locally download GoEmotions from HuggingFace and reconstruct aligned English–Roman Urdu pairs using the provided rehydration script.

The dataset preserves the original train/validation/test splits, includes normalized Roman Urdu text and emotion labels, and is intended for academic research in emotion analysis, low-resource NLP, and cross-lingual transfer. A quality-assurance report, checksum file, and reproducibility scripts are included to support transparent and verifiable use.
DOI: 10.5281/zenodo.18445909
title: GoEmotions-RU: A Rehydratable Roman Urdu Emotion Dataset (ON/OFF Ablation)

description: GoEmotions Roman Urdu (Rehydratable) — Ablation ON/OFF is a Roman Urdu emotion classification dataset derived from the HuggingFace GoEmotions benchmark (simplified configuration).

The release provides two ablation views: OFF, containing a single primary Roman Urdu translation per example, and ON, which expands each example with multiple Roman Urdu spelling variants to support robustness and ablation studies.

To comply with the licensing terms of the original dataset, this Zenodo release does not include the original English text. Instead, it follows a rehydratable release strategy: each record is identified by a stable global_id that allows users to locally download GoEmotions from HuggingFace and reconstruct aligned English–Roman Urdu pairs using the provided rehydration script.

The dataset preserves the original train/validation/test splits, includes normalized Roman Urdu text and emotion labels, and is intended for academic research in emotion analysis, low-resource NLP, and cross-lingual transfer. A quality-assurance report, checksum file, and reproducibility scripts are included to support transparent and verifiable use.
DOI: 10.15468/dl.8taq8u
title: Occurrence Download

description: A dataset containing 940 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mesophylla macconnelli",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 }
 ]
}

 The dataset includes 940 records from 109 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003858-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18445978
title: Dataset used in "How to win a match? Key Goal-Scoring Patterns in the 2024 Peruvian League"
DOI: 10.15468/dl.xwk7gb
title: Occurrence Download

description: A dataset containing 15363 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is United States of America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "PublishingOrg is 28eb1a3f-1c15-4a95-931a-4af90ecb574d",
 "TaxonKey is Anartia jatrophae"
 ]
}

 The dataset includes 15363 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003859-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18425370
title: Dataset used in "How to win a match? Key Goal-Scoring Patterns in the 2024 Peruvian League"
DOI: 10.6084/m9.figshare.31223155
title: Schooling for Turkey

description: Schooling for Turkey
DOI: 10.6084/m9.figshare.31223155.v1
title: Schooling for Turkey

description: Schooling for Turkey
DOI: 10.5281/zenodo.18440338
title: Data, code, and figures for SWV precipitation vertical structure analysis based on GPM/DPR

description: This dataset contains processed GPM/DPR precipitation data, FY-2 infrared brightness temperature data, southwest vortex event lists, figures, and analysis codes used in the study of vertical structure and macro–microphysical characteristics of southwest vortex precipitation over Sichuan, China.
DOI: 10.5281/zenodo.18440339
title: Data, code, and figures for SWV precipitation vertical structure analysis based on GPM/DPR

description: This dataset contains processed GPM/DPR precipitation data, FY-2 infrared brightness temperature data, southwest vortex event lists, figures, and analysis codes used in the study of vertical structure and macro–microphysical characteristics of southwest vortex precipitation over Sichuan, China.