cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6073/pasta/955165f17b3890d1c44ae3893ec4b9cb
title: Daily river metabolism using oxygen flux at 75 sites in Mongolia or the United States in steppe ecoregions

description: We obtained GIS data to indicate local geomorphology and watershed-scale values for land use, climate, slope, and elevation for each sampling site. We selected our sites using the GIS-based program RESonate (Williams et al., 2013) to represent replicates in multiple watersheds of different geomorphic patches or Functional Process Zones (FPZs). The FPZs are reoccurring longitudinal geomorphic patches that are hypothesized to control biocomplexity, including community composition and system productivity (Thorp et al., 2006). A detailed description of the FPZ delineation methodology we employed has been provided previously (Maasri et al., 2019a; Erdenee et al., 2021). We classified each study site hierarchically by country, ecoregion, river basin, upper (streams higher in the watershed) or lower (low slope rivers of lower elevations), and relatively constrained valley or wide valley. This approach allowed us to assess reach-scale properties that could directly influence the physiological controls most often collected alongside metabolism data. This provided a framework to evaluate how we may understand the determinants of metabolism at multiple scales. 
 
 We studied three large-scale temperate steppe ecoregions (Terminal Basin, TB; Montane Steppe, MS; and Grassland Steppe, GS) as characterized by Olson et al. (2001) and updated by Dinerstein et al. (2017) in two countries (Mongolia and the United States, Fig. 2). We aggregated our large-scale ecoregions for the US as follows: TB = Great Basin shrub steppe and Sierra Nevada forest, MS = South Central Rockies forest and Wyoming Basin shrub steppe, GS = Nebraska Sand Hills mixed grasslands and Northern Shortgrass prairie. We aggregated our large-scale ecoregions for Mongolia as follows: TB = Altai mountains forest and forest steppe, Gobi Lakes Valley desert steppe, Great Lakes Basin desert steppe, and Khangai Mountains alpine meadows, MS = Selenge-Orkhon forest steppe and Syan Mountains conifer forests, GS = Daurian Forest steppe and Mongolian-Manchurian grassland. We downloaded ecoregion data from https://www.geographyrealm.com/terrestrial-ecoregions-gis-data/ on 19 November 2025. Specific site descriptions are detailed in a separate online data publication (not submitted yet, will be before acceptance). We note that our large-scale ecoregions also included montane areas where some of the streams that fed the steppe rivers originated.
DOI: 10.15468/dl.szv5gw
title: Occurrence Download

description: A dataset containing 1085 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "MediaType is one of (Image, Video)",
 "TaxonKey is one of (Aurelia, Rhizostoma, Catostylus, Aequorea, Carybdea marsupialis, Chrysaora hysoscella, Cyanea, Discomedusa lobata, Gonionemus vertens, Olindias phosphorica, Nausithoe, Neotima lucullana, Tima bairdii, Cassiopea andromeda, Cotylorhiza tuberculata, Geryonia proboscidalis, Leuckartiara jianyinensis)",
 "Year 2020-2025"
 ]
}

 The dataset includes 1085 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003782-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18404219
title: Source data of "Observation of Resonance of Kagome Flat Band Doublet"

description: This dataset is the source data of the paper "Observation of Resonance of Kagome Flat Band Doublet"
DOI: 10.15468/dl.rw9byx
title: Occurrence Download

description: A dataset containing 13841 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chloroscombrus chrysurus",
 "HasCoordinate is true",
 "DecimalLatitude is greater than -90",
 "DecimalLatitude is less than 90",
 "DecimalLongitude is greater than -180",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1950",
 "Year is less than or equal to 2014"
 ]
}

 The dataset includes 13841 records from 97 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003783-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5061/dryad.t76hdr86j
title: Propagating Gottesman-Kitaev-Preskill states encoded in an optical oscillator

description: Gottesman-Kitaev-Preskill (GKP) qubit in a single Bosonic harmonic
 oscillator is an efficient logical qubit for mitigating errors in a
 quantum computer. The entangling gates and syndrome measurements for
 quantum error correction only require noise-robust linear operations, a
 toolbox that is naturally available and scalable in optical system. To
 date, however, GKP qubits have been only demonstrated at mechanical and
 microwave frequency in a highly nonlinear stationary system. In this work,
 we realize a GKP state in propagating light at the telecommunication
 wavelength and demonstrate homodyne measurements on the GKP states without
 loss corrections. Our states do not only show nonclassicality and
 non-Gaussianity at room temperature and atmospheric pressure, but the
 propagating wave property also permits large-scale quantum computation
 with strong compatibility to telecommunication technology.
description: This is the data of the quadrature values of the generated states
 which are obtained by postprocessing of the homodyne detector data
 collected via oscilloscope. 
description: # Propagating Gottesman-Kitaev-Preskill states encoded in an optical
 oscillator ## Description
 of the data and file structure The data are the processed quadrature
 values of the generated states. The Wigner function can be obtained by
 reconstructing the data via maximum likelihood method. The files in this
 submission are 1. quad_0deg.npy 2. quad_30deg.npy 3. quad_60deg.npy 4.
 quad_-30deg.npy 5. quad_-60deg.npy 6. quad_-90deg.npy The text **deg
 corresponds to the phase of the measured data. Note that for the
 quadrature distribution in the paper, we redefine the phase as the minus
 phase correspond to the same phase +180 deg with the quadrature values
 flipped. This process is done for making the figure simpler in the paper
 and does not affect the subsequent calculation. The file can be opened by
 standard Python library called Numpy using the Load command. Each file
 contains a single array and each element corresponds to an event of the
 measured quadrature of the generated states processed by integration of
 the homodyne measurement signals with the wave packet shape.
DOI: 10.5061/dryad.qrfj6q5nr
title: Alignments of ITS1 gene sequences from Harpacticella inopinata

description: Ancient lakes are hotspots of species diversity and pose challenges and
 opportunities for exploration of the dynamics of endemic diversification.
 Lake Baikal in Siberia, the oldest lake in the world, hosts a particularly
 rich crustacean fauna, including the largest known species flock of
 harpacticoid copepods with some 70 species. Here we focused on exploring
 the diversity and evolution within a single nominal species Harpacticella
 inopinata Sars, 1908 using molecular markers (mitochondrial COI, nuclear
 ITS1 and 28S rRNA) and a set of qualitative and quantitative morphological
 traits. Five major mitochondrial lineages were recognized, with
 model-corrected COI distances 0.20-0.37. A concordant pattern was seen in
 a nuclear data set, and qualitative morphological traits also distinguish
 a part of the lineages. All this suggests the presence of several hitherto
 unrecognized cryptic taxa within the baikalian H. inopinata, with long
 independent histories. The abundances, distributions, and inferred
 demographic histories were different among taxa. Two taxa, H. inopinata CE
 and H. inopinata CW, were widespread on the Eastern and Western coasts
 respectively, and largely allopatric. Patterns in mitochondrial variation,
 i. e. shallow star-like haplotype networks suggest these taxa have spread
 through the lake relatively recently. Three other taxa H. inopinata RE,
 RW, and RW2 instead were rare and had more localized distributions on
 either coast, but showed deeper intraspecies genealogies suggesting older
 regional presence. The rare taxa were often found in sympatry with the
 others, and on occasion introgressed by mtDNA from the common ones. The
 mitochondrial divergence between and within the H. inopinata lineages is
 still unexpectedly deep, suggesting an unusually high molecular rate. The
 recognition of true systematic diversity in evaluation and management of
 ecosystems is important in hotspots as everywhere else, while the
 translation of the diversity into a formal taxonomy remains a challenge.
description: Sanger sequencing of ITS1 rRNA gene. The detailed description of
 the methods are included in the published paper (https://doi.org/10.1002/ece3.11471)
description: # Alignments of ITS1 gene sequences from Harpacticella inopinata
 [https://doi.org/10.5061/dryad.qrfj6q5nr](https://doi.org/10.5061/dryad.qrfj6q5nr) This dataset includes alignments of ITS1 gene sequences from harpacticoid copepod *Harpacticella inopinata* sampled in Lake Baikal. ## Description of the data and file structure The alignments are submitted in .fasta format. The sequence name corresponds to the geographic location and number of specimens.
DOI: 10.5061/dryad.dv41ns253
title: Retrieval of Ar, N2, O, and CO in the Martian thermosphere using dayglow limb observations by EMM EMUS

description: The Emirates Ultraviolet Spectrometer (EMUS) onboard the Emirates Mars
 Mission (EMM) Hope probe images Mars at wavelengths extending from
 approximately 100 to 170 nm. EMUS observations began in February 2021 and
 cover over a full Mars year. We report the first limb scan observations at
 Mars of ultraviolet emissions Ar I 106.6 nm, N I 120 nm, and carbon
 monoxide (CO) Fourth Positive Group (A - X) band system excited by
 electron impact on CO. We use EMUS limb scan observations to retrieve
 number density profiles of argon, molecular nitrogen, atomic oxygen, and
 CO in the upper atmosphere of Mars from 130 to 160 km. CO is a sensitive
 tracer of the thermal profile and winds in Mars' middle atmosphere
 and the chemistry that balances CO2 in the atmosphere of Mars. EMUS
 insertion orbit special observations demonstrate that far ultraviolet limb
 measurements of the Martian thermosphere can be spectroscopically analyzed
 with a robust retrieval algorithm to further quantify variations of CO
 composition in the Martian upper atmosphere.
description: # Retrieval of Ar, N2, O, and CO in the Martian Thermosphere Using Dayglow
 Limb Observations by EMM EMUS
 [https://doi.org/10.5061/dryad.dv41ns253](https://doi.org/10.5061/dryad.dv41ns253) The data set contains altitude profiles of observed (kiloRayleighs) and retrieved intensities (Rayleighs) and number densities (cm-3) for Ar, N2, O, and CO for eight EMM insertion orbit observations. The density retrieval method is described by Evans et al. (2015; doi:10.1002/2015GL065489) and Evans et al. (2023; doi:10.1029/2022JE007325). ## Description of the data and file structure The observed intensities are stored in ASCII files contained within a compressed tar file (emus_data.tgz). Retrieved intensities and densities are stored in ASCII files contained within a separate compressed tar file (retrieval_data.tgz). The folder names provide the EMUS observation date and time. The content of each intensity file (Ar1066.txt, CO4PGfull.txt, NI1200.txt, OI1356.txt) is described within the file. The retrieval files (retrieve.out) contain the following information: na, ndat: Number of state vector elements (na-1 densities and one scale factor); number of EMUS data points xa: a priori densities (cm-3) and scale factor (unitless); floating point array with dimension [na] xhat: retrieved densities (cm-3) and forward model scale factor (unitless); floating point array with dimension [na] shat: covariance matrix for retrieved densities (cm-6) and forward model scale factor (unitless); floating point array with dimensions [na,na] lk: zenith angles (degrees) of the EMUS observation; floating point array with dimension [ndat] ya: a priori forward model intensities (R); floating point array with dimension [ndat] yhat: retrieved forward model intensities (R); floating point array with dimension [ndat]
DOI: 10.5281/zenodo.18074524
title: Dataset for the paper: Psychometric Properties of the Greek Version of the ASKAT: Assessing Teachers' Knowledge and Attitudes Toward ADHD

description: Datasets derived from online survey supporting the study descripted in the manuscript “Psychometric Properties of the Greek Version of the ASKAT: Assessing Teachers’ Knowledge and Attitudes Toward ADHD”, by ..... about study

The study was ethically approved by the Research and Ethics Committee (Approval number: 43508/20.11.2020) of the University of Ioannina, Ioannina, Greece. Datasets are not contain any sensitive information.
DOI: 10.5281/zenodo.18404066
title: Dataset for the paper: Psychometric Properties of the Greek Version of the ASKAT: Assessing Teachers' Knowledge and Attitudes Toward ADHD

description: Datasets derived from online survey supporting the study descripted in the manuscript “Psychometric Properties of the Greek Version of the ASKAT: Assessing Teachers’ Knowledge and Attitudes Toward ADHD”, by ..... about study

The study was ethically approved by the Research and Ethics Committee (Approval number: 43508/20.11.2020) of the University of Ioannina, Ioannina, Greece. Datasets are not contain any sensitive information.
DOI: 10.5061/dryad.1zcrjdg04
title: Biochemical and biophysical drivers of the hydrogen isotopic composition of carbohydrates and acetogenic lipids

description: The hydrogen isotopic composition (δ2H) of plant compounds is increasingly
 used as a hydro-climatic proxy, however, the interpretation of δ2H values
 is hampered by potential co-effecting biochemical and biophysical
 processes. Here, we studied δ2H values of water and carbohydrates in
 leaves and roots, and of leaf n-alkanes, in two distinct tobacco
 (Nicotiana sylvestris) experiments. Large differences in plant performance
 and biochemistry resulted from (a) soil fertilization with varying
 nitrogen (N) species ratios and (b) knockout-induced starch deficiency. We
 observed a strong 2H-enrichment in sugars and starch with a decreasing
 performance induced by increasing NO3-/NH4+ ratios and starch deficiency,
 and from leaves to roots. However, δ2H values of cellulose and n-alkanes
 were less affected. We show that relative concentrations of sugars and
 starch, interlinked with leaf gas-exchange, shape δ2H values of
 carbohydrates. We thus provide novel insights into drivers of hydrogen
 isotopic composition of plant compounds and the mechanistic modelling of
 plant cellulose δ2H values.
description: # Biochemical and biophysical drivers of the hydrogen isotopic composition
 of carbohydrates and acetogenic lipids
 The dataset holds all the
 data of this study, including published and unpublished data of a previous
 study (Ghiasi *et al*. 2021, ref #48,
 ). The data covers
 stable isotope data of water, carbohydrates, and n-alkanes, as well as
 biochemical and biophysical trait data from two tobacco experiments: (a)
 soil fertilization with varying nitrogen species ratios (NO3-/NH4+) and
 (b) knockout-induced starch deficiency. ## Description of the data and
 file structure The data file contains three sheets: "Metadata"
 describes each of the measured variables of both experiments (e.g.,
 abbreviation, tissue, unit) and gives the data source (e.g., unpublished
 or published); "N fertilization" covers the data of experiment
 (a); "Starch deficiency" covers the data of experiment (b).
DOI: 10.5281/zenodo.18404947
title: Waste dataset
DOI: 10.5281/zenodo.18404946
title: Waste dataset
DOI: 10.15468/dl.5vkfn6
title: Occurrence Download

description: A dataset containing 413 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Indigofera szechuensis",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 413 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003784-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7914/j0d1-t772
title: South Island Seismic Experiment

description: WE will record onshore southern South Island, New ZEaland, air gun blasts from the Langseth that will shooting offshore for a NSF funded experiment. The lead PI on that experiment is M Gurnis.
DOI: 10.5061/dryad.w0vt4b8zn
title: Kellet's whelk genome and transcriptome assembly

description: Understanding genomic characteristics of non-model organisms can help
 bridge gaps in ecology and evolutionary sciences, but lack of a reference
 genome and transcriptome for these species challenges their study. We
 advance this goal by conducting the first full genome and transcriptome
 sequence assembly and analysis of the non-model organism Kellet’s whelk,
 Kelletia kelletii, a marine gastropod and fisheries species exhibiting a
 northern range expansion along the US west coast that is potentially
 driven by climate change. We used a combination of Oxford Nanopore
 Technologies, PacBio, and Illumina platforms for sequencing, and
 integrated a set of bioinformatic pipelines to create a comprehensive and
 contiguous de novo genome assembly. Our results represent the most
 complete and continuous documented genome among the Buccinoidea
 superfamily to date. Genome validation revealed its relatively high
 completeness with low missing metazoan BUSCOs, and an average coverage of
 ~70x for all contigs, indicating a robust assembly. Characteristics of the
 K. kelletii genome showed that short-read data contributed significantly
 to genome coverage and accuracy; however, long-read data was imperative to
 the completeness and continuity of the genome assembly. Genome annotation
 identified a large number of protein-coding genes compared to other
 closely related species, suggesting the presence of a complex genome
 structure. We conducted the transcriptome assembly and analysis of
 individuals during their period of peak embryonic development, and
 revealed highly expressed genes associated with specific GO terms and
 metabolic pathways, most notably lipid, carbohydrate, glycan, and
 phospholipid metabolism. We also identified numerous heat shock proteins
 (HSPs) in the transcriptome and genome with a potential association
 between the transcriptional expansion of HSP families and the marine
 environment experienced by the sessile life history stage of the
 developing embryo. This study offers a valuable reference genome and
 transcriptome for conducting comprehensive bioinformatic analyses of the
 non-model organism K. kelletii. Such resources will enhance our
 understanding of its ecology and evolution, as well as that of other
 coastal marine species facing environmental changes.
description: # Kellet's whelk genome and transcriptome assembly
 ## Description of the data
 and file structure See
 for
 methods used for the assembly and analysis of the genome and
 transcriptome. **Files** Genome assembly: Scaffolds_pass1.fasta Genome
 annotation: transcripts.fasta.transdecoder.genome.gff3 Transcriptome
 assembly: final_transcriptome.fasta ## Sharing/Access information Data was
 derived from the following sources: * All raw sequence data, including the
 PacBio sequel 2, Nanopore MinION, and Illumina NovaSeq DNA sequencing, as
 well as the Illumina NovaSeq RNA sequencing, are deposited in NCBI
 Sequence Read Archive (SRA) under PRJNA999368:
 and PRJNA1000198:
 . ## Code/Software
 See methods and commands used at
DOI: 10.15468/dl.nyrp5s
title: Occurrence Download

description: A dataset containing 1269 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is USA.34_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Bombus pensylvanicus",
 "Year 2022-2026"
 ]
}

 The dataset includes 1269 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003786-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17871870
title: PSYCHED Adaptive Dataset and Supplementary Materials

description: This repository contains all datasets and supplementary materials used in the development and evaluation of the PSYCHED Adaptive diagnostic system. The Question Selection Survey (PDF + responses) captures the initial 88-item instrument and the 70 student responses used to refine the final 56 diagnostic questions. The training dataset includes both synthetic data generated using LLaMA Instruct and LLaMA Nemotron reward models, as well as cleaned real data from the DAIC-WOZ corpus. Validation materials include the PHQ-9 + MDI comparative survey (PDF), response dataset, and pilot-test performance results. A complete user manual for the PSYCHED Adaptive system is also included.



Question selection survey.pdf: Contains the original 88-item questionnaire administered to university students for initial item selection.

Question selection survey responses – Student Mental Health Assessment.xlsx: Includes 70 student responses to the 88-item questionnaire, used to statistically select the final 56 items.

Synthetic Dataset.csv: Contains the synthetic Likert-scale dataset generated using LLaMA Instruct + LLaMA Nemotron reward model for training the classifier.

DAIC WOZ cleaned.csv: Provides the cleaned subset of the DAIC-WOZ dataset used as real training data for the adaptive engine and Likert classifier.

Validation survey.pdf: The PHQ-9 + MDI + PSYCHED Adaptive comparative evaluation survey administered to real users during system validation.

Validation survey responses.xlsx: Contains participant responses comparing PSYCHED Adaptive with benchmark tools (PHQ-9 and MDI).

Validation – psyched adaptive results.csv: Reports outcome metrics from the pilot study where users interacted with the PSYCHED Adaptive system in real conditions.

PSYCHED Adaptive – usermanual.docx: Provides the end-user manual explaining how to operate the PSYCHED Adaptive system.

PSYCHED Adaptive- CODE.ipynb: Code to validate the questionnaire (item reduction from 78->56) and to train a likert classifier. And to validate the the PSYCHED Adaptive comparison with PHQ-9 and MDI.