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

description: A dataset containing 215207 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is United States of America",
 "DatasetKey is one of (SJSU - Carl W. Sharsmith Herbarium, San Jose State University, Natural History Museum (London) Collection Specimens, University of Alaska, Anchorage Herbarium Vascular Plants, Whitman College Herbarium Vascular Plants, Rocky Mountain Research Station (Boise, Idaho, USA), USDA Forest Service Herbarium Vascular Plants, University of Alberta Vascular Plant Herbarium (ALTA-VP), Herbarium SUNY Oswego, Botanical Database of Southern Africa (BODATSA): Botanical Collections, National Herbarium of Victoria (MEL) AVH data, University of Puget Sound, Slater Museum Herbarium Vascular Plants, Rocky Mountain Biological Laboratory, Indiana University of Pennsylvania, A.G. Shields Herbarium, University of Wisconsin-LaCrosse, Montana State University Billings, CHAS Botany Collection (Arctos), Eastern Washington University Herbarium Vascular Plants., University of Cincinnati, Margaret H. Fulford Herbarium - Vascular Plants, UCSC Herbarium - Kenneth S. Norris Center for Natural History, University of California Santa Cruz)",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 215207 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0203400-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qgvmxf
title: Occurrence Download

description: A dataset containing 164 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Steccherinum oreophilum Lindsey & Gilb.)",
 "Geometry POLYGON((-9.36035 44.71551,-10.59082 42.81152,-11.82129 36.80928,-7.69043 36.17336,-3.38379 35.88905,3.12012 38.13456,9.18457 38.20366,11.7334 37.16032,12.78809 34.74161,17.09473 33.79741, 23.15918 34.23451,30.10254 32.62087,33.2666 32.99024,35.72754 35.03,33.00293 35.53223,28.69629 35.17381,28.34473 36.31513,25.7959 37.50973,24.91699 39.90974,28.78418 40.6473,30.71777 41.17865,36.87012 45.213,38.18848 46.98025,38.71582 47.7541,39.94629 47.93107,40.20996 49.61071,37.0459 50.34546,35.72754 50.40152,33.79395 52.26816,31.68457 51.94426,31.4209 53.27835,32.56348 53.43572,30.98145 54.77535,30.89355 55.52863,28.43262 56.02295,27.20215 57.65716,27.37793 58.30949,27.90527 59.17593,29.66309 59.88894,27.6416 60.58697,31.50879 62.75473,28.78418 69.83962,30.89355 70.28912,29.22363 71.55274,21.75293 71.30079,14.28223 70.14036,11.38184 67.47492,4.87793 63.66576,-5.53711 71.52491,-10.63477 71.69129,-21.5332 67.74276,-28.56445 65.36684,-24.3457 61.35461,-9.36035 44.71551))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2021"
 ]
}

 The dataset includes 164 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0254025-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kszy9p
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Oscaecilia koepckeorum Wake, 1984)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060491-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q6ph7q
title: Occurrence Download

description: A dataset containing 50292 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Belgium",
 "TaxonKey is one of (Procambarus fallax f. virginalis Martin, Dorn, Kawai, van der Heiden & Scholtz, 2010, Orconectes virilis (Hagen, 1870), Ludwigia peploides (Kunth) P.H.Raven, Heracleum sosnowskyi Manden., Heracleum persicum Desf. ex Fisch., C.A.Mey. & Avé-Lall., Cabomba caroliniana A.Gray, Procambarus clarkii (Girard, 1852), Myriophyllum heterophyllum Michx., Lysichiton americanus Hultén & H.St.John, Lagarosiphon major (Ridl.) Moss, Pacifastacus leniusculus (Dana, 1852), Orconectes limosus (Rafinesque, 1817), Myriophyllum aquaticum (Vell.) Verdc., Impatiens glandulifera Royle, Ludwigia grandiflora (Michx.) Greuter & Burdet, Hydrocotyle ranunculoides L.fil., Heracleum mantegazzianum Sommier & Levier, Elodea nuttallii (Planch.) H.St.John)",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 50292 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0158639-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cc28fc
title: Occurrence Download

description: A dataset containing 757 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is JPN.28_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Asteraceae",
 "Year 2000-2022"
 ]
}

 The dataset includes 757 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0384124-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e5d9nb
title: Occurrence Download

description: A dataset containing 101419 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "Country is one of (United States of America, Mexico, Canada)",
 "Year is greater than 1978",
 "Year is less than 2014",
 "HasGeospatialIssue is false",
 "TaxonKey is Contopus cooperi (Nuttall, 1831)"
 ]
}

 The dataset includes 101419 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060515-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-48097
title: Redemption tidings, vol. 25, nos. 1-26, 7 Jan. - 23 Dec. 1949

description: [description english/roman)] Issued fortnightly (every two weeks). "A full gospel magazine for all believers" -- subtitle. Includes Tidings from our missionaries (7 Jan. - 30 Sept. 1940) & We hold the lines (14 Oct. - 23 Dec. 1949) in each issue. Bound with vol. 24.
DOI: 10.15468/dl.wumkwk
title: Occurrence Download

description: A dataset containing 319378 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Asteroidea)",
 "BasisOfRecord is one of (Human Observation, Literature Occurrence, Living Specimen, Observation, Specimen, Occurrence evidence)",
 "Year is greater than or equal to 1979",
 "Year is less than or equal to 2020",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 319378 records from 542 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0342432-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.98qw3h
title: Occurrence Download

description: A dataset containing 52588 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aconitum lycoctonum L., Aconitum volubile Pall., Aconitum variegatum L., Adenostyles alliariae (Gouan) A.Kern.)",
 "Geometry POLYGON((-9.36035 44.71551,-10.59082 42.81152,-11.82129 36.80928,-7.69043 36.17336,-3.38379 35.88905,3.12012 38.13456,9.18457 38.20366,11.7334 37.16032,12.78809 34.74161,17.09473 33.79741, 23.15918 34.23451,30.10254 32.62087,33.2666 32.99024,35.72754 35.03,33.00293 35.53223,28.69629 35.17381,28.34473 36.31513,25.7959 37.50973,24.91699 39.90974,28.78418 40.6473,30.71777 41.17865,36.87012 45.213,38.18848 46.98025,38.71582 47.7541,39.94629 47.93107,40.20996 49.61071,37.0459 50.34546,35.72754 50.40152,33.79395 52.26816,31.68457 51.94426,31.4209 53.27835,32.56348 53.43572,30.98145 54.77535,30.89355 55.52863,28.43262 56.02295,27.20215 57.65716,27.37793 58.30949,27.90527 59.17593,29.66309 59.88894,27.6416 60.58697,31.50879 62.75473,28.78418 69.83962,30.89355 70.28912,29.22363 71.55274,21.75293 71.30079,14.28223 70.14036,11.38184 67.47492,4.87793 63.66576,-5.53711 71.52491,-10.63477 71.69129,-21.5332 67.74276,-28.56445 65.36684,-24.3457 61.35461,-9.36035 44.71551))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2021"
 ]
}

 The dataset includes 52588 records from 218 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0159876-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6rvwc2
title: Occurrence Download

description: A dataset containing 36446 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Styphnolobium japonicum (L.) Schott",
 "HasCoordinate is true",
 "Year is greater than or equal to 1900",
 "BasisOfRecord is one of (Human Observation, Specimen, Unknown evidence)"
 ]
}

 The dataset includes 36446 records from 151 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060506-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9p6xk6
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Neblinichthys yaravi (Steindachner, 1915)"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0338590-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8hbg7w
title: Occurrence Download

description: A dataset containing 6330 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leopardus pardalis (Linnaeus, 1758)"
 ]
}

 The dataset includes 6330 records from 246 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0158640-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-47820
title: Redemption tidings, vol. 24, nos. 1-26, 2 Jan. - 17 Dec. 1948

description: [description english/roman)] Issued fortnightly (every two weeks). "A full gospel magazine for all believers" -- subtitle. Includes Tidings from our missionaries in each issue (2-16 Jan., 13 Feb. - 23 Apr., 21 May - 17 Dec. 1948) except vol. 24 nos. 3 & 10. Bound with vol. 25.
DOI: 10.15468/dl.jvrh56
title: Occurrence Download

description: A dataset containing 557 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Duellmanohyla rufioculis (Taylor, 1952))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 557 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060495-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gy6sn6
title: Occurrence Download

description: A dataset containing 734706 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Florideophyceae)",
 "BasisOfRecord is one of (Human Observation, Literature Occurrence, Living Specimen, Observation, Specimen, Occurrence evidence)",
 "Year is greater than or equal to 1979",
 "Year is less than or equal to 2020",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 734706 records from 509 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0342450-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30885701
title: <b>Multi-modal multi-task </b><b>internet sentiment recognition model based on mid-to-back fusion strategy</b>

description: Previous studies in multimodal emotion recognition have not adequately addressed the disparity between unimodal expression and multimodal perception in emotion labeling, nor have they optimized multimodal fusion strategies. This paper introduces an innovative multimodal multi-task emotion recognition model based on a mid-to-late fusion strategy. The model employs BERT, Wav2Vec2.0, and Clip for feature preprocessing of text, audio, and visual modalities, respectively. Features are further refined through convolutional layers and self-attention mechanisms. Independent unimodal emotion labeling trains unimodal models to optimize unimodal emotional representations. Multimodal representations are integrated using a multi-head attention mechanism, and disparities between unimodal and multimodal presentations are captured through a multi-task learning strategy. Experiments on the CH-SIMS Chinese dataset demonstrate that the proposed model significantly outperforms baseline models, with a 3% increase in accuracy and a 1.74% increase in F1 score.Despite significant advancements in emotion recognition, the model still has room for improvement in handling dataset diversity, complexity of real-world applications, non-standard language expressions, and cross-cultural emotion understanding. The proposed model not only effectively enhances the effect of multimodal fusion but also offers a new perspective for the development of multimodal emotion recognition technology.
DOI: 10.6084/m9.figshare.30885701.v1
title: <b>Multi-modal multi-task </b><b>internet sentiment recognition model based on mid-to-back fusion strategy</b>

description: Previous studies in multimodal emotion recognition have not adequately addressed the disparity between unimodal expression and multimodal perception in emotion labeling, nor have they optimized multimodal fusion strategies. This paper introduces an innovative multimodal multi-task emotion recognition model based on a mid-to-late fusion strategy. The model employs BERT, Wav2Vec2.0, and Clip for feature preprocessing of text, audio, and visual modalities, respectively. Features are further refined through convolutional layers and self-attention mechanisms. Independent unimodal emotion labeling trains unimodal models to optimize unimodal emotional representations. Multimodal representations are integrated using a multi-head attention mechanism, and disparities between unimodal and multimodal presentations are captured through a multi-task learning strategy. Experiments on the CH-SIMS Chinese dataset demonstrate that the proposed model significantly outperforms baseline models, with a 3% increase in accuracy and a 1.74% increase in F1 score.Despite significant advancements in emotion recognition, the model still has room for improvement in handling dataset diversity, complexity of real-world applications, non-standard language expressions, and cross-cultural emotion understanding. The proposed model not only effectively enhances the effect of multimodal fusion but also offers a new perspective for the development of multimodal emotion recognition technology.
DOI: 10.5281/zenodo.17942366
title: Manhattan plot from the Phase 1 referenced GWAS alpha acid

description: Data used to produce manhattan plot in figure 7b of the publication "Extensive variation between chromosomes of North American and European hop"
DOI: 10.5281/zenodo.17942365
title: Manhattan plot from the Phase 1 referenced GWAS alpha acid

description: Data used to produce manhattan plot in figure 7b of the publication "Extensive variation between chromosomes of North American and European hop"
DOI: 10.4211/hs.4901a0d654334c259f4ff9b49dc0a74e
title: Discrete wavelet transform coupled with the active subspace method

description: The provided Python code represents the coupled framework between the discrete wavelet transform and the active subspace method. It has the goal to perform temporal scale dependent model parameter sensitivity analysis. In the provided case, the methodology is coupled to an R code containing the LuKARS model.

The folder named 'as_dwt' contains the entire source code of the methodology as well as the required data
of the Kerschbaum spring case study.

The subfolder uq_tools contains supplementary python scripts that can be used for analyses that go beyond
the methodology proposed in the WRR article.

The subfolder examples contains a folder called 'as_wavelets', in which the relevant python scripts are stored.

The data and the LuKARS model (R. file) can be found from this directory in 'scens/scen_main'.

The LuKARS model is given by the file 'main_exe.R.'

The precipitation and discharge data is stored in 'kerschbaum.txt'.

The monthly mean temperatures (needed for Thornthwaite's ET method) are stored in 'monthly_mean_temp.csv'.

The daily temperature values and snow depths are stored in 'snow_waidhofen.csv'.
DOI: 10.4211/hs.fa4c995da5924331906bc4607f5cc77b
title: Cain et al., (2022) Antecedent conditions control thresholds of tile-runoff generation and nitrogen export in intensively managed landscapes - Tabular Data

description: Tabular data used in support of the publication:
Cain, M. R., Woo, D. K., Kumar, P., Keefer, L., & Ward, A. S. (2022). Antecedent conditions control thresholds of tile-runoff generation and nitrogen export in intensively managed landscapes. Water Resources Research, 58, e2021WR030507. https://doi.org/10.1029/2021WR030507 

Data includes raw field observation time series, analyzed modeled output, and data used to recreate paper figures. The study site is the Allerton Trust Farm, which is part of the Intensively Managed Landscapes Critical Zone Observatory (IML-CZO) located near Monticello, Illinois.
DOI: 10.4211/hs.5c93128cb42b4343968afaf85259be0c
title: Greater rock moisture content on an equator-facing hillslope due to aspect-related variations in vegetation water use

description: Water stored in the subsurface plays a crucial role in the terrestrial water cycle by influencing vegetation growth, streamflow, and groundwater recharge. Past studies on the impact of aspect-driven differences in incoming solar radiation have largely focused on resulting vegetation and shallow soil moisture patterns. However, few studies have quantified moisture below soil, in weathered bedrock, limiting our understanding of hillslope-scale water cycling patterns and proper water resource management. In a Mediterranean California coast range catchment with a dry growing season and vegetation type differences between aspects, our study challenges the notion that equator-facing slopes are consistently drier than pole-facing slopes. In the 2023 water year, we quantified subsurface moisture using surface and downhole geophysical measurements. Despite greater incoming solar radiation, grass-dominated equator-facing slopes showed greater moisture content than pole-facing slopes with oak trees. These findings underscore the intricate link between vegetation type and subsurface moisture, which is crucial for understanding water resources in watersheds with clear aspect-driven ecosystem differences.
DOI: 10.4211/hs.7e0192daba5e4b5ebdc3619a867507f6
title: Codes and Results to Prioritize Wells for Groundwater Monitoring in the Arkansas River Headwaters Basin, Colorado, USA

description: This HydroShare resource provides supporting information for Fahrney, E.E.; Mays, D.C.; Newman, C.P. (2025), Systematic Approach to Prioritize Wells for Effective Groundwater Monitoring and Management in the Arkansas Headwaters Basin, Colorado, USA, Journal of Hydrology—Regional Studies, https://doi.org/TBD.
DOI: 10.4211/hs.72997c6533b14ee7b3f857c1edc60cec
title: Neutron Probe Data Processing: Calibration and Conversion to Water Content using Nuclear Magnetic Resonance, and Uncertainty Analysis

description: This data repository houses neutron probe data and processing information for projects at UC Berkeley's Blue Oak Ranch Reserve (BORR) investigating vadose zone moisture dynamics across hillslopes with opposing aspects. 

Throughout our field studies, we encountered several challenges with interpreting the neutron probe data. First, there were many dates where the neutron probe did not pass an in-field chi-squared test indicating that the probe was not producing accurate estimates of neutron counts. Second, in several instances, we encountered anomalous increases or decreases in neutron counts across surveys between time periods where there were no precipitation inputs or evapotranspiration, thus, no significant change in moisture content and neutron count was expected. This indicates that the instrument was likely experiencing drift which has been observed in several previous studies (e.g., Hoedlmoser et al. 2012; Vachaud, Royer, and Cooper 1977; Yao et al. 2004; Zhang 2017). To account for these issues, we eliminated survey dates that failed the chi-squared test or produced anomalous count values. We then quantified the amount of instrument drift by averaging measurements across multiple survey periods at depths in the borehole where no change in neutron count was expected to apply a drift correction. Data, scripts, and further explanation for neutron probe data processing is available as part of this Hydroshare resource.

This research was supported by the National Science Foundation CAREER Grant (Award 2046957), Mildred E. Mathias Graduate Student Research Grant by the University of California Natural Reserve System, and the Betty and Gordon Moore Foundation.
DOI: 10.5281/zenodo.17942392
title: TALABALARDA KONSTRUKTORLIK FIKRLASHNI RIVOJLANTIRIB, LOYIHALASH QOBILIYATINI SHAKLLANTIRISH
DOI: 10.5281/zenodo.17942393
title: TALABALARDA KONSTRUKTORLIK FIKRLASHNI RIVOJLANTIRIB, LOYIHALASH QOBILIYATINI SHAKLLANTIRISH
DOI: 10.15468/dl.j5sq35
title: Occurrence Download

description: A dataset containing 47 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ceodes artensis)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 47 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053865-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y5jn8r
title: Occurrence Download

description: A dataset containing 21498 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pseudonaja textilis"
 ]
}

 The dataset includes 21498 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053867-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.swsy7t
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((23.43604 35.39995,23.47802 35.12835,24.1262 35.0575,24.08684 35.36059,23.84804 35.60071,23.43604 35.39995))",
 "TaxonKey is Iris planifolia"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053869-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.