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

description: A dataset containing 18844 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is New Zealand",
 "SpeciesKey is one of (Amphilophium crucigerum, Drosera capensis, Geitonoplesium cymosum, Persicaria perfoliata, Cinnamomum camphora, Stipa caudata, Eomecon chionantha, Ochna serrulata, Sphaeropteris cooperi, Nassella tenuissima, Chimonobambusa quadrangularis, Equisetum hyemale, Lagunaria patersonia, Pueraria montana, Archontophoenix cunninghamiana, Bryonia dioica, Helichrysum petiolare, Pseudosasa hindsii, Solanum torvum, Austrostipa rudis, Banksia integrifolia, Cenchrus purpureus, Ficus macrophylla, Pinus mugo, Prunus campanulata, Clematis terniflora, Embothrium coccineum, Myricaria germanica, Coleus barbatus, Adiantum raddianum, Thunbergia alata, Toxicodendron succedaneum, Cotoneaster horizontalis, Cardiospermum grandiflorum, Passiflora rosea, Rhaphiolepis bibas, Rubus polyanthemus, Cotoneaster coriaceus, Cyrtomium falcatum, Selaginella moellendorffii, Acer negundo, Ailanthus altissima, Dryopteris affinis, Ficus rubiginosa, Lamium galeobdolon, Polypodium vulgare, Chondrilla juncea, Ficus pumila, Phoenix canariensis, Rubus cardiophyllus, Abutilon theophrasti, Celastrus orbiculatus, Fatsia japonica, Gazania linearis, Prunus serrulata, Dimorphotheca fruticosa, Psidium cattleianum, Syzygium australe, Andropogon virginicus, Asparagus aethiopicus, Laurus nobilis, Podranea ricasoliana, Artemisia arborescens, Baccharis halimifolia, Cenchrus setaceus, Maytenus boaria, Tussilago farfara, Bartlettina sordida, Nephrolepis cordifolia, Plectranthus ecklonii, Setaria palmifolia, Hydrangea macrophylla, Cardiocrinum giganteum, Eupatorium cannabinum, Fuchsia boliviana, Lilium formosanum, Phyllostachys nigra, Chlorophytum comosum, Clerodendrum trichotomum, Euonymus japonicus, Juglans ailantifolia, Passiflora pinnatistipula, Pittosporum undulatum, Yucca gloriosa, Ehrharta villosa, Homalanthus populifolius, Menyanthes trifoliata, Pandorea pandorana, Angelica pachycarpa, Heracleum mantegazzianum, Pseudosasa japonica, Salix purpurea, Thinopyrum acutum, Syzygium smithii, Passiflora mixta)",
 "Year 2010-2026"
 ]
}

 The dataset includes 18844 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009899-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17909/arsz-vs80
title: NGC2100 and NGC2004 WFPC2

description: F450W observations of NGC2100 and NGC2004 by Shara, Michael.
DOI: 10.25983/cbi/3012880
title: Calculation of monomer yields, verification of PG concentration approximation, catalyst comparison for neat aromatic RCF, SEM micrographs for postreaction pulps, yields of aqueous-phase sugar derivatives after PG-H2O RCF, reactor pressure transients, GPC comparing pre- and postreaction organic solvent composition, PG-H2O miscibility testing, GPC probing dimer/oligomer fractionation in PG-H2O mixtures for

description: Reductive catalytic fractionation (RCF) is an effective lignin-first biorefining method to extract lignin as a stabilized oil from lignocellulosic biomass. To realize RCF at scale, process modeling has shown that minimizing the use of exogenous organic solvents is critical. To this end, here we investigate the ability of lignin-derived monomers to act as either solvents or cosolvents for RCF. We begin by examining the influence of lignin-derived aromatic compounds (4-propylguaiacol, 4-propylphenol, and propylbenzene) on RCF monomer yields and subsequently extend our analysis to mixtures of 4-propylguaiacol and either methanol or water. We demonstrate that 4-propylguaiacol is an effective solvent for lignin extraction and depolymerization during RCF, especially when used in combination with water as a cosolvent. Cosolvent mixtures of 4-propylguaiacol and water enable up to 81% lignin extraction, monomer yields up to 25 wt %, and postreaction phase separation. However, unlike methanol, water as a cosolvent fails to inhibit aromatic ring hydrogenation when conducted over Ru/C as a catalyst, potentially leading to excess hydrogen consumption in a process utilizing this approach. Nonetheless, these results suggest a promising strategy for eliminating external organic solvents from RCF by utilizing mixtures of lignin-derived compounds and water as alternative extraction solvents.
DOI: 10.15468/dl.6ar7rf
title: Occurrence Download

description: A dataset containing 275 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Geomys bursarius missouriensis"
 ]
}

 The dataset includes 275 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009901-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15031354
title: On the Need to Rethink Trust in AI Assistants for Software Development: A Critical Review (Supplementary Material)

description: Trust is a fundamental concept in human decision-making and collaboration that has long been studied in philosophy and psychology. However, software engineering (SE) articles often use the term trust informally; providing an explicit definition or embedding results in established trust models is rare. In SE research on AI assistants, this practice culminates in equating trust with the likelihood of accepting generated content, which, in isolation, does not capture the full conceptual complexity of trust. Without a common definition, true secondary research on trust is impossible. The objectives of our research were: (1) to present the psychological and philosophical foundations of human trust, (2) to systematically study how trust is conceptualized in SE and the related disciplines human-computer interaction and information systems, and (3) to discuss limitations of equating trust with content acceptance, outlining how SE research can adopt existing trust models to overcome the widespread informal use of the term trust. We conducted a literature review across disciplines and a critical review of recent SE articles with a focus on trust conceptualizations. We found that trust is rarely defined or conceptualized in SE articles. Related disciplines commonly embed their methodology and results in established trust models, clearly distinguishing, for example, between initial trust and trust formation and between appropriate and inappropriate trust. On a meta-scientific level, other disciplines even discuss whether and when trust can be applied to AI assistants at all. Our study reveals a significant maturity gap of trust research in SE compared to other disciplines. We provide concrete recommendations on how SE researchers can adopt established trust models and instruments to study trust in AI assistants beyond the acceptance of generated software artifacts.
DOI: 10.5281/zenodo.18249363
title: On the Need to Rethink Trust in AI Assistants for Software Development: A Critical Review (Supplementary Material)

description: Trust is a fundamental concept in human decision-making and collaboration that has long been studied in philosophy and psychology. However, software engineering (SE) articles often use the term trust informally; providing an explicit definition or embedding results in established trust models is rare. In SE research on AI assistants, this practice culminates in equating trust with the likelihood of accepting generated content, which, in isolation, does not capture the full conceptual complexity of trust. Without a common definition, true secondary research on trust is impossible. The objectives of our research were: (1) to present the psychological and philosophical foundations of human trust, (2) to systematically study how trust is conceptualized in SE and the related disciplines human-computer interaction and information systems, and (3) to discuss limitations of equating trust with content acceptance, outlining how SE research can adopt existing trust models to overcome the widespread informal use of the term trust. We conducted a literature review across disciplines and a critical review of recent SE articles with a focus on trust conceptualizations. We found that trust is rarely defined or conceptualized in SE articles. Related disciplines commonly embed their methodology and results in established trust models, clearly distinguishing, for example, between initial trust and trust formation and between appropriate and inappropriate trust. On a meta-scientific level, other disciplines even discuss whether and when trust can be applied to AI assistants at all. Our study reveals a significant maturity gap of trust research in SE compared to other disciplines. We provide concrete recommendations on how SE researchers can adopt established trust models and instruments to study trust in AI assistants beyond the acceptance of generated software artifacts.
DOI: 10.25444/nhlbi.28557116
title: Raw data for "The functionally conserved human lncRNA motif GULF lowers glucose and lipid levels in obese mice"

description: Growing evidence links human long non-coding RNAs (lncRNAs) to metabolic disease pathogenesis, yet no FDA-approved drugs target human lncRNAs. Most human lncRNAs lack conservation in other mammals, complicating efforts to define their roles and identify therapeutic targets. Here, we leveraged the novel concept of functionally conserved lncRNAs (FCLs)—lncRNAs that share function despite no sequence similarity—to develop a framework for identifying human lncRNAs as therapeutic targets for metabolic disorders. We used eQTL mapping and functional conservation analyses to pinpoint human lncRNAs influenced by disease-associated SNPs and with potential functionally conserved mouse equivalents. We identified human and mouse GULLs (GlUcose and Lipid Lowering), which regulate glucose and lipid metabolism by binding CRTC2, thereby modulating gluconeogenic genes via CREB and lipogenic genes via SREBP1. Despite their lack of sequence similarity, both lncRNAs demonstrated similar metabolic effects in obese mice, with more pronounced benefits from long-term activation. To identify druggable sites, we mapped GULLs' binding motifs to CRTC2 (termed GULFs). Standalone human GULF, an RNA oligomer resembling FDA-approved siRNAs, significantly improved glucose and lipid levels in obese mice. This framework highlights functionally conserved human lncRNAs as promising therapeutic targets, exemplified by GULLs' potential as a glucose and lipid-lowering therapeutic.
DOI: 10.25444/nhlbi.28557116.v1
title: Raw data for "The functionally conserved human lncRNA motif GULF lowers glucose and lipid levels in obese mice"

description: Growing evidence links human long non-coding RNAs (lncRNAs) to metabolic disease pathogenesis, yet no FDA-approved drugs target human lncRNAs. Most human lncRNAs lack conservation in other mammals, complicating efforts to define their roles and identify therapeutic targets. Here, we leveraged the novel concept of functionally conserved lncRNAs (FCLs)—lncRNAs that share function despite no sequence similarity—to develop a framework for identifying human lncRNAs as therapeutic targets for metabolic disorders. We used eQTL mapping and functional conservation analyses to pinpoint human lncRNAs influenced by disease-associated SNPs and with potential functionally conserved mouse equivalents. We identified human and mouse GULLs (GlUcose and Lipid Lowering), which regulate glucose and lipid metabolism by binding CRTC2, thereby modulating gluconeogenic genes via CREB and lipogenic genes via SREBP1. Despite their lack of sequence similarity, both lncRNAs demonstrated similar metabolic effects in obese mice, with more pronounced benefits from long-term activation. To identify druggable sites, we mapped GULLs' binding motifs to CRTC2 (termed GULFs). Standalone human GULF, an RNA oligomer resembling FDA-approved siRNAs, significantly improved glucose and lipid levels in obese mice. This framework highlights functionally conserved human lncRNAs as promising therapeutic targets, exemplified by GULLs' potential as a glucose and lipid-lowering therapeutic.
DOI: 10.15468/dl.wve7pn
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"USA.41.16_1","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 10 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009902-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25983/cbi/3012879
title: Tabulated data for Lignin-Derived Phenolic Compounds and Water Are Effective Cosolvents for Reductive Catalytic Fractionation

description: Reductive catalytic fractionation (RCF) is an effective lignin-first biorefining method to extract lignin as a stabilized oil from lignocellulosic biomass. To realize RCF at scale, process modeling has shown that minimizing the use of exogenous organic solvents is critical. To this end, here we investigate the ability of lignin-derived monomers to act as either solvents or cosolvents for RCF. We begin by examining the influence of lignin-derived aromatic compounds (4-propylguaiacol, 4-propylphenol, and propylbenzene) on RCF monomer yields and subsequently extend our analysis to mixtures of 4-propylguaiacol and either methanol or water. We demonstrate that 4-propylguaiacol is an effective solvent for lignin extraction and depolymerization during RCF, especially when used in combination with water as a cosolvent. Cosolvent mixtures of 4-propylguaiacol and water enable up to 81% lignin extraction, monomer yields up to 25 wt %, and postreaction phase separation. However, unlike methanol, water as a cosolvent fails to inhibit aromatic ring hydrogenation when conducted over Ru/C as a catalyst, potentially leading to excess hydrogen consumption in a process utilizing this approach. Nonetheless, these results suggest a promising strategy for eliminating external organic solvents from RCF by utilizing mixtures of lignin-derived compounds and water as alternative extraction solvents. This is the tabulated data for the paper
DOI: 10.5281/zenodo.17715982
title: Data to "Harnessing model ensembles to assess uncertainty and prospective characterization factors for AWARE2.0"

description: This repository contains the datasets corresponding to "Harnessing model ensembles to assess uncertainty and prospective characterization factors for AWARE2.0", submitted to the International Journal of Life Cycle Assessment. Until publication of the article and the corresponding update of the readme files, all data provided here must be considered as preliminary.

The files are organized into two groups, data linked to stochastic AWARE2.0 (Files with the prefix "UNC_") and data linked to prospective AWARE2.0 (prefix "PRO_").

Data related to stochastic AWARE2.0:



UNC_ensemble_data_for_input_uncertainty.xlsx



the data used to generate uncertainty parametrizations for AWARE2.0's discharge-related input variables



UNC_input_uncertainty_parametrization_stats_arrays.xlsx



the uncertainty parametrization used for stochastic AWARE2.0's input variables



UNC_Monte_Carlo_results.zip



CF, AMD, HWC and AMDworld_avg values of the 5000 Monte Carlo simulation iterations



UNC_CF_uncertainty_distribution_functions.xlsx



the uncertainty distributions of stochastic AWARE2.0, expressed as parametric uncertainty distribution functions




Data related to prospective AWARE2.0:



PRO_climateprospective_ensemblemeans.zip



The ensemble mean ActAvail and ensemble mean CFs of the 1GHM and 3GHM climate-prospective ensembles.

Spatiotemporally aggregated CFs of the 1GHM ensemble (ecoinvent, GLAM).

Basin-level weighting factors for the 1GHM ensemble.



PRO_fullyprospective_ensemblemeans.zip



The ensemble mean ActAvail and ensemble mean CFs of the fully prospectie ensemble.

Spatiotemporally aggregated CFs (ecoinvent, GLAM).

Basin-level weighting factors.



PRO_CF_climateprospective_modelspecific_basin_2019_2099.zip



CFs, separately calculated from each model combination of the climate-prospective ensemble.



PRO_CF_fullyprospective_modelspecific_basin_2019_2049.zip



CFs, separately calculated from each model combination of the fully prospective ensemble.



PRO_ActAvail_climateprospective_modelspecific_basin_2019_2099.zip



ActAvail, used to calculate the model-specific CFs of the climate-prospective ensemble



PRO_ActAvail_fullyprospective_modelspecific_basin_2019_2049.zip



ActAvail, used to calculate the model-specific CFs of the fully prospective ensemble




 

Notes and caveats



The file naming structure in the readme file of UNC_Monte_Carlo_results.zip differs from the actual file names (CSVs start with "Monte_Carlo_results", not "uncertainty_iteration_results"). This will be corrected in a follow-up version of this dataset.
DOI: 10.15472/gr1zja
title: Fototrampeo al interior de las áreas del Banco de Hábitat Bosque de Niebla - El Globo

description: Los Bancos de Hábitat se definen
como un área en la que se pueden realizar actividades de preservación,
restauración, rehabilitación, recuperación y/o uso sostenible para la
conservación de la biodiversidad. Así mismo se convierten en un mecanismo de
implementación de inversiones ambientales y compensaciones, ampliamente
utilizado en otros países, los cuales han demostrado generar resultados
permanentes y sostenibles en materia de conservación de ecosistemas,
contribuyendo en la implementación de las medidas compensatorias. En este conjunto de datos (2.047
registros biológicos) se presentan los resultados del fototrampeo en el Banco
de Hábitat Bosque de Niebla - El Globo, ubicado en el municipio Támesis, Antioquia-Colombia.
Estos registros pertenecen al reino Animalia. Se encuentran distribuidos en 2
clases, 17 órdenes, 38 familias, 73 géneros y 52 especies. Un 48,02% está
clasificado a nivel de especie, 31,61% a nivel de orden, 17,34% a nivel de
género, 2,83% a nivel de familia y 0,20% a nivel de clase.

Esta información corresponde al
monitoreo con el cual se podrá comparar y evaluar el estado y avance de las
acciones de preservación y restauración ecológica a implementar y a su vez,
analizar la permanencia y ganancia ecosistémica con base en cada uno de los
indicadores fijados en el plan de monitoreo de este Banco de Hábitat.
DOI: 10.7303/syn63358724.12
title: Clinical Dataset
DOI: 10.15468/dl.3v7dr7
title: Occurrence Download

description: A dataset containing 170 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cinchona mutisii"
 ]
}

 The dataset includes 170 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009906-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15139/s3/wlxtay
title: Data Management and Sharing Plan for: Concentration and single virion analysis of the virome

description: The Data Management and Sharing Plan describes the scientific data to be generated and/or used in the research and outlines a strategy for managing and sharing project data.
description: Data Management and Sharing Plan
DOI: 10.15468/dl.t8wd9z
title: Occurrence Download

description: A dataset containing 36519 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is New Zealand",
 "SpeciesKey is one of (Passiflora tarminiana, Rhaphiolepis umbellata, Cotoneaster glaucophyllus, Bomarea multiflora, Biancaea decapetala, Psidium guajava, Acacia baileyana, Actinidia chinensis, Jasminum polyanthum, Senecio glastifolius, Carex pendula, Cestrum nocturnum, Clematis flammula, Olea europaea, Leptospermum laevigatum, Eragrostis curvula, Lantana montevidensis, Pleioblastus viridistriatus, Trachycarpus fortunei, Ugni molinae, Cestrum fasciculatum, Dryopteris filix-mas, Gunnera tinctoria, Koenigia polystachya, Pomaderris aspera, Crassula multicava, Daphne laureola, Eucalyptus delegatensis, Ligustrum lucidum, Pinus contorta, Pinus patula, Pinus strobus, Tecoma capensis, Ehrharta calycina, Rhaphiolepis loquata, Furcraea foetida, Phyllostachys aurea, Prunus serotina, Senna septemtrionalis, Echium candicans, Euonymus europaeus, Pyracantha angustifolia, Acanthus mollis, Erica vagans, Sedum praealtum, Solanum laxum, Tetrapanax papyrifer, Agapanthus praecox, Cotyledon orbiculata, Ligustrum ovalifolium, Roldana petasitis, Spiraea japonica, Rhododendron ponticum, Brugmansia arborea, Cortaderia jubata, Cotoneaster simonsii, Impatiens sodenii, Ipomoea indica, Passiflora caerulea, Plectranthus ciliatus, Carex scoparia, Cestrum aurantiacum, Myoporum insulare, Prunus laurocerasus, Passiflora tripartita, Cotoneaster franchetii, Acacia verticillata, Arum italicum, Asparagus scandens, Berberis darwinii, Buddleja davidii, Buddleja madagascariensis, Carex lurida, Casuarina glauca, Cobaea scandens, Kennedia rubicunda, Ligustrum sinense, Lupinus polyphyllus, Dolichandra unguis-cati, Tropaeolum speciosum, Clinopodium nepeta, Cestrum elegans, Cuscuta campestris, Ehrharta erecta, Kalanchoe pinnata, Moraea flaccida, Persicaria capitata, Chrysojasminum humile, Hieracium levicaule, Rubus echinatus, Akebia quinata, Anredera cordifolia, Eccremocarpus scaber, Elaeagnus reflexa, Erica caffra)",
 "Year 2010-2026"
 ]
}

 The dataset includes 36519 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009905-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17968383
title: Credible sets from "Cross-cohort analysis of expression and splicing quantitative trait loci in TOPMed"

description: Expression and splicing quantitative trait locus credible sets from "Cross-cohort analysis of expression and splicing quantitative trait loci in TOPMed" (https://www.medrxiv.org/content/10.1101/2025.02.19.25322561v1)
DOI: 10.5281/zenodo.18249421
title: Credible sets from "Cross-cohort analysis of expression and splicing quantitative trait loci in TOPMed"

description: Expression and splicing quantitative trait locus credible sets from "Cross-cohort analysis of expression and splicing quantitative trait loci in TOPMed" (https://www.medrxiv.org/content/10.1101/2025.02.19.25322561v1)
DOI: 10.5281/zenodo.18249430
title: Blumenbachia latifolia Cambess. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:43
DOI: 10.5281/zenodo.18249431
title: Blumenbachia latifolia Cambess. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:43