cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5066/p145dv8t
title: Detecting trajectories of regime shifts and loss of resilience in coastal wetlands using remote sensing

description: Raster data shows landscape scale trajectories of change as four potential scenarios based on Normalized Difference Vegetation Index (NDVI) trends and standard deviation trends using full time series (Scenarios_All_FULL_TS.tif) as well as time series up to LandTrendr breakpoint if detected (Scenarios_All_LT_TS.tif). Time series analysis for trend use Landsat surface reflectance imagery from 1985 to 2021. Scenarios: 1) Abrupt Transition – ecosystem is unstable and transitioning to alternate state (regime shift, exhibiting EWS); 2) Slowly Transitioning – ecosystem is transitioning slowly to alternate state (no EWS detected); 3) Recovering ecosystem – ecosystem is unstable but also becoming re-vegetated over the years; 4) Stable – becoming “greener” and more stable over time.
DOI: 10.5066/p90yq9tw
title: Geospatial Database of the Study Boundaries, Sampled Sites, Watersheds, and Riparian Zones for the U.S. Geological Survey Regional Stream Quality Assessment

description: In 2013, the Regional Stream Quality Assessment (RSQA) study was started as part of the U.S. Geological Survey (USGS) National Water Quality Assessment (NAWQA) project. One of the objectives of the RSQA is to characterize the relationships between water-quality stressors and stream ecology and subsequently determine the relative effects of these stressors on aquatic biota within the streams (Garrett and others, 2017; Journey and others, 2015; Coles and others, 2019; Sheibley and others, 2017; May and others, 2020). The study was implemented in five regions across the U.S.; the Midwest (MSQA) in 2013, the southeast (SESQA) in 2014, the Pacific Northwest (PNSQA) in 2015, the northeast (NESQA) in 2016, and California (CSQA) in 2017. To meet this objective, a framework of fundamental geospatial data was required to develop physical and anthropogenic characteristics for each study region. This data release provides shape files of the four fundamental geospatial data layers developed for the RSQA and includes the regional study-area boundaries, the sampled sites, and their associated watersheds and riparian zones.
DOI: 10.5066/p9yawr0n
title: Adirondack New York soil chemistry data, 1992-2017 (ver. 1.1, December 2020)

description: This dataset contains measurements of chemical concentrations of soil samples representing 28 headwater drainage basins completely within the Adirondack Park of New York State (ADK Park), one basin partially in the ADK Park, and one watershed 2 kilometers from the ADK Park boundary. Seven of these watersheds have been sampled 2 or 3 times over periods of 12 to 22 years. Soil samples were collected from pit faces exposed by shoveling. Total mass of organic matter, carbon and nitrogen in the forest floor are also presented for 16 headwater drainage basins in the ADK Park. Forest floor mass data were determined from samples collected with soil corers. The presented data are organized by six projects: the Adirondack Soil Monitoring Study (ADK), (2) the Adirondack Sugar Maple Project (ASM), (3) the Buck Creek and Boreas long-term monitoring watersheds (Buck-Boreas), (4) the Honnedaga Watershed Liming Project (HON), (5) the northeastern Red Spruce Study (Spruce), and (6) the Western Adirondack Stream Survey (WASS). All data are included in a Microsoft Office 365 .xlsx file with a Table of Contents tab that describes all data tabs and a tab that details the field sampling designs of each project. Each tab in the .xlsx file has also been saved as an individual comma-delimited (CSV) file. The meta-data includes references to seven files that include locational data for the sites included in the data release. These data are provided in the service definition file Adirondack_New_York_Soild_Chemistry_Data_1992_2017.sd. Descriptions of soil profiles and photos of profiles and locales surrounding pits are included for some projects. First posted April 1, 2020, ver. 1.0 Revised December 7, 2020, ver. 1.1 Version 1.1: This version of the dataset is identical to version 1.0 except for revisions to the dates in the column labeled "Date_Collected" in the worksheet labeled "Soil_Chemistry_All_Projects". Version 1.0: This version contains measurements of chemical concentrations of soil samples that were originally published in April 2020. Version 1.0 data are available upon request.
DOI: 10.5281/zenodo.12818855
title: A Comparative Analysis of Machine Learning Approaches to Gap Filling Meteorological Datasets (Results Only)

description: This dataset contains the results from our evaluation of methodologies for filling gaps in meterological data. Variables were chosen to represent a standard set of measurements for purposes typically performed using Weather Stations installed in urban and rural areas. There are 4 dimensions by which we measure and validate each of the gap filling models across a large set of experimental configurations: meteorological variables TargetVar (dewpoint, humidity, leaf wetness, temp); feature_set (AWS, AWS-ERA5, ERA5, ERA5_Debias, Spatial); 3 types of machine learning algorithms ML (linear regression, random forests, LightGBM) combined with 2 non-ML algorithms; and gap_length: 1, 4, 36 and 288.  A total of 1,720 experiments were conducted: 1,440 machine learning experiments; 160 using a spatial algorithm and 120 experiments using ERA5. For the 3 machine learning experiments, the average result was selected for each of 10 sites for 4 gap  sizes (40 results) with the 3 ML models using 3 different feature sets (120 results).

Data is provided in both CSV format and as a MySQL dump.

Resultsets are accompanied with the SQL expression used to generate the result.
DOI: 10.5281/zenodo.13350180
title: Generalization of a density-dependent ecosystem function in dominant aquatic macroinvertebrates

description: This Zenodo record contains the supporting data and code for the publication 'Generalization of a density-dependent ecosystem function in dominant aquatic macroinvertebrates', published in Oikos (https://doi.org/10.1111/oik.10774). The data are described in detail in the corresponding publication. The data archive contains a ReadMe file, two text files with the empirical data, and a corresponding R script for analysis. All required data to reproduce the full analysis from the original publication are provided.

In order to reproduce the analysis and figures, run DensityDependenceAnalysis20240319.R. Make sure that your working directory is the actual folder containing the data files Data_Field.txt and Data_Lab.txt. If run in Rstudio, this should happen automatically. Else this is easily achieved by (re)starting R (or R Studio) by double-clicking the R script file from the folder. The script will produce all the figures from the paper, organized in a folder AnalysisYYYYMMDD and two subfolders CheckFigs and SuppFigs. Figures are prepared as pixel graphics (PNG).
DOI: 10.5281/zenodo.3474285
title: 3D Microphone Array Recording Comparison (3D-MARCo)

description: 3D-MARCo is an open-access database of 3D sound recordings of musical performances and room impulse responses. The recordings were made in the St. Paul’s concert hall in Huddersfield, UK using a total of 71 microphones simultaneously. The main microphone arrays included in the database comprise PCMA-3D, OCT-3D, 2L-Cube, Decca Cubioid, First-order Ambisonics (FOA), Higher-order Ambisonics (HOA) and Hamasaki Square with height. In addition, ORTF, side/height, Voice of God and floor channels as well as a dummy head and spot microphones are included. The sound sources recorded are string quartet, piano trio, piano solo, organ, a cappella group, various single sources and room impulse responses of a virtual ensemble with 13 source positions captured by all of the microphones. 3D-MARCo would be useful for spatial audio research, recording education, critical ear training, etc.
description: Sign up for future updates on 3D-MARCo and news on related topics. --&gt; https://forms.gle/92ydYfsvzjiMM2ny5
description: {"references": ["Lee, H. and Johnson, D. (2019) \"An Open-Access Database of 3D Microphone Array Recordings\", 147th Audio Engineering Society Convention, Engineering Brief 543"]}
DOI: 10.5281/zenodo.6965866
title: seNorge/TG: daily mean temperature over Norway

description: seNorge_2018 is a collection of observational gridded datasets for the Norwegian mainland. This dataset contains the daily mean temperature (TG) fields for the 65-year time period 1957-2021. TG is the mean temperature between 06:00 UTC of the day in the timestamp and 06:00 UTC of the previous day. The grid spacing is 1 km. The data sources are: the Norwegian Meteorological Institute Climate Database, the Swedish Meteorological and Hydrological Institute Open Data API, the Finnish Meteorological Institute open data API and the European Climate Assessment & Dataset (www.ecad.eu). See also: https://github.com/metno/seNorge_docs/wiki/seNorge_2018
description: MET Norway open data are licensed under Norwegian Licence for Open Government Data (NLOD) or a Creative Commons Attribution 4.0 International License at your preference. Credit should be given to The Norwegian Meteorological institute, shortened "MET Norway", as the source of data. License https://www.met.no/en/free-meteorological-data/Licensing-and-crediting
DOI: 10.5281/zenodo.6965906
title: seNorge/RR: daily total precipitation amounts over Norway

description: seNorge_2018 is a collection of observational gridded datasets for several near surface variables. This is the dataset of daily total precipitation amount (RR and RRa) for the 65-year period 1957-2021. RR is the daily total amount of precipitation (precipitation day definition: yesterday at 06 UTC / today at 06 UTC). RRa is the daily total amount of precipitation without adjustment for the wind undercatch. The grid spacing is 1 km. The data sources are: the Norwegian Meteorological Institute Climate Database, the Swedish Meteorological and Hydrological Institute Open Data API, the Finnish Meteorological Institute open data API and the European Climate Assessment & Dataset (www.ecad.eu). See also: https://github.com/metno/seNorge_docs/wiki/seNorge_2018
description: MET Norway open data are licensed under Norwegian Licence for Open Government Data (NLOD) or a Creative Commons Attribution 4.0 International License at your preference. Credit should be given to The Norwegian Meteorological institute, shortened "MET Norway", as the source of data. License https://www.met.no/en/free-meteorological-data/Licensing-and-crediting
DOI: 10.5281/zenodo.6965929
title: seNorge/TN: daily minimum temperature over Norway

description: seNorge_2018 is a collection of observational gridded datasets for the Norwegian mainland. This dataset contains the daily minimum temperature (TN) fields for the 65-year time period 1957-2021. TN is the minimum temperature consistent with TG/TX (yesterday at 18 UTC / today at 18 UTC). The grid spacing is 1 km. The data sources are: the Norwegian Meteorological Institute Climate Database, the Swedish Meteorological and Hydrological Institute Open Data API, the Finnish Meteorological Institute open data API and the European Climate Assessment & Dataset (www.ecad.eu). See also: https://github.com/metno/seNorge_docs/wiki/seNorge_2018
description: MET Norway open data are licensed under Norwegian Licence for Open Government Data (NLOD) or a Creative Commons Attribution 4.0 International License at your preference. Credit should be given to The Norwegian Meteorological institute, shortened "MET Norway", as the source of data. License https://www.met.no/en/free-meteorological-data/Licensing-and-crediting
DOI: 10.5281/zenodo.6965960
title: seNorge/TX: daily maximum temperature over Norway

description: seNorge_2018 is a collection of observational gridded datasets for the Norwegian mainland. This dataset contains the daily maximum temperature (TX) fields for the 65-year time period 1957-2021. TX is the maximum temperature consistent with TG/TN (yesterday at 18 UTC / today at 18 UTC). The grid spacing is 1 km. The data sources are: the Norwegian Meteorological Institute Climate Database, the Swedish Meteorological and Hydrological Institute Open Data API, the Finnish Meteorological Institute open data API and the European Climate Assessment & Dataset (www.ecad.eu). See also: https://github.com/metno/seNorge_docs/wiki/seNorge_2018
description: MET Norway open data are licensed under Norwegian Licence for Open Government Data (NLOD) or a Creative Commons Attribution 4.0 International License at your preference. Credit should be given to The Norwegian Meteorological institute, shortened "MET Norway", as the source of data. License https://www.met.no/en/free-meteorological-data/Licensing-and-crediting
DOI: 10.5281/zenodo.8298053
title: Stream discharge and groundwater level data for the USVI

description: .csv files containing 1) annual maximum stream discharge and corresponding cumulative precipitation data for three U.S. Virgin Islands (USVI) streams (one on St. Croix, St. Thomas, St. John) and 2) annual average groundwater levels for three monitoring wells in the USVI (one on St. Croix, St. Thomas, St. John). All of the data were collected by the U.S. Geological Survey and are available in government reports and online databases.
description: {"references": ["Colon-Dieppa, E., Diaz, P.L., Garcia., R. (1985). Water resources data, Puerto Rico and the U.S. Virgin Islands, water year 1985. Water Data Report PR-85-1. https://doi.org/10.3133/wdrPR851", "Curtis, R. E., Guzman-Rios, S., & Diaz, P. L. (1984). Water resources data, Puerto Rico and the U.S. Virgin Islands, water year 1984. Water Data Report PR-84-1. https://doi.org/10.3133/wdrPR841", "Robinson, T. M. (1973). Water records of U.S. Virgin Islands 1962-69. U.S. Geological Survey. https://doi.org/10.3133/70240216"]}
DOI: 10.60760/unibo/fiscus
title: Fiscus. Fiscal Estate in Medieval Italy: Continuity and Change (9th – 12th Centuries)

description: The project focused on the fiscal assets and the revenues of public powers in the early and high Middle Ages, by exploring the relationship between religious and political institutions on the hand, and the structures of the Kingdom of Italy in the post-Carolingian age on the other. In particular, the project investigated the relationship between the status of the fiscal estates granted to lay and ecclesiastical elites in the course of the tenth and eleventh centuries and the continuity of a public dimension associated with the ownership of those estates. Moreover, the project broadened the explorations of the economic foundations of public powers by adopting a long-term perspective – ninth to twelfth centuries – and by taking into account the entire Italian peninsula, focusing on three key issues: the problem of documentary evidence for the study of fiscal estates; the history of the fiscal patrimony and its development in the eleventh and twelfth centuries; and the legacy of early medieval fiscal estates in the eleventh and twelfth centuries.
DOI: 10.6084/m9.figshare.21739154.v3
title: Characterization and preclinical in silico safety assessment of three virulent bacteriophages targeting carbapenem-resistant uropathogenic Escherichia coli

description: Characterization and preclinical <em>in silico</em> safety assessment of three virulent bacteriophages targeting carbapenem-resistant uropathogenic <em>Escherichia coli</em>
DOI: 10.6084/m9.figshare.26198681
title: Dataset for "Survey of Whistler-mode Wave Amplitudes and Frequency Spectra in Jupiter’s Magnetosphere"

description: This is the dataset for paper "Survey of Whistler-mode Wave Amplitudes and Frequency Spectra in Jupiter’s Magnetosphere", which is submitted to Geophysical Research Letters.The dataset includes all the data in Figures 1-4 of the paper.We present the statistical distributions of whistler-mode chorus and hiss waves at frequencies from the local proton gyrofrequency to the equatorial electron gyrofrequency (fce,eq) in Jupiter’s magnetosphere based on Juno measurements. The chorus wave power spectral densities usually follow the fce,eq variation with major wave power concentrated in the 0.05fce,eq – fce,eq frequency range. The hiss wave frequencies are less dependent on fce,eq variation than chorus with major power concentrated below 0.05fce,eq, showing a separation from chorus at M&lt;10. Our survey indicates that whistler-mode waves are mainly observed at 5.5
DOI: 10.6084/m9.figshare.26356057
title: Supplementary Material for: Ubiquitin-specific protease 52 as a prognostic biomarker correlates with tumor microenvironment and therapy response in colorectal cancer

description: Introduction: As the primary members of the deubiquitinases (DUBs) family, ubiquitin-specific peptidases (USPs) can regulate the efficacy of immunotherapy and mediate immune evasion. However, further research is needed to explore the influence of USP52 on the prognosis of colorectal cancer (CRC), the tumor immune microenvironment, and therapeutic response.
Methods: The differential expression of USP52 between colorectal cancer and normal tissues was analyzed using multiple public databases. The relationship between USP52 with the prognosis and clinicopathological characteristics of CRC patients was evaluated, and a nomogram was constructed to predict patient survival based on USP52 expression. Subsequently, Gene set variation analysis (GSVA) was used to explore the potential biological functions of USP52 in CRC. The impact of USP52 on the tumor microenvironment (TME) was estimated. Moreover, the effect of USP52 on the response to immunotherapy and chemotherapeutic drugs in CRC was investigated. Finally, the correlation between tumor mutation burden (TMB)/microsatellite instability (MSI) status and USP52 was explored.
Results: The expression of USP52 was markedly upregulated in CRC, correlating with a poor prognosis in patients. GSVA uncovered a strong association between high USP52 and immune suppression. Furthermore, high USP52 was found to be correlated with a non-inflamed TME, resulting in reduced immune cell infiltration levels. Additionally, it was observed that patients with high USP52 exhibited low sensitivity to both immunotherapy and chemotherapeutic drugs. Lastly, high USP52 was negatively associated with high TMB and MSI.
Conclusion: This study revealed the significance of USP52 in TME, efficacy of therapy, and clinical prognosis in CRC, offering novel insights for the therapeutic advancements in CRC.
DOI: 10.15468/dl.tvs9ju
title: Occurrence Download

description: A dataset containing 3036 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Parkinsonia praecox (Ruiz & Pav.) Hawkins"
 ]
}

 The dataset includes 3036 records from 157 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014064-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.23668/psycharchives.13175
title: Dataset for: Demonstration of a ‘leapfrog’ randomized controlled trial as a method to accelerate the development and optimization of psychological interventions

description: This is the full dataset and accompanying codebook for the study "Demonstration of a ‘leapfrog’ randomized controlled trial as a method to accelerate the development and optimization of psychological interventions", published in Psychological Medicine (https://doi.org/10.1017/S0033291722003294). It supplements the partial dataset openly available on the Open Science Framework (https://osf.io/8mxda/) by also including further variables for which Sharing Level 1 was judged appropriate.
description: leapfrogdata2022-04-22.xlsx: Full dataset for the study; leapfrogdata2022-04-22.csv: .csv version of the database; Leapfrog Codebook 07.07.23.pdf: Codebook describing leapfrogdata
DOI: 10.23668/psycharchives.13176
title: Dataset for "A Question of Perspective: Perspective as a Feature in Stimulus-Response Binding"

description: Dataset for "A Question of Perspective: Perspective as a Feature in Stimulus-Response Binding" by Nicolas. D. Münster, Philip Schmalbrock & Christian Frings
DOI: 10.15468/dl.mrk3cv
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Swainsona formosa (G.Don) JoyThomps.)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014065-241126133413365/datasets/export for details.
DOI: 10.15468/dl.8x8qyr
title: Occurrence Download

description: A dataset containing 36870 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Styphnolobium japonicum (L.) Schott)"
 ]
}

 The dataset includes 36870 records from 223 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014066-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.28dkhf
title: Occurrence Download

description: A dataset containing 1261 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Quercus cerris L.",
 "HasCoordinate is true",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 1261 records from 125 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014067-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.23668/psycharchives.13196
title: Dataset for: Turning the light switch on binding: Prefrontal activity for binding and retrieval in action control

description: Dataset for the study "Turning the light switch on binding: Prefrontal activity for binding and retrieval in action control", to-be-published in Journal of Cognitive Neuroscience. For further information please refer to the aforementioned paper. The aggregated behavioral data file can be analyzed by using the SPSS-Syntax and the aggregated neuro data can be analyzed by using the pipeline; both are available under "Code for: Turning the light switch on binding: Prefrontal activity for binding and retrieval in action control".
DOI: 10.23668/psycharchives.13198
title: Dataset for: Exploring 'phasic' vs. 'tonic' accounts of the effect of switch probability on the auditory attention switch cost

description: Dataset for: Strivens, A., Koch, I., & Lavric, A. (2023). Exploring 'phasic' vs. 'tonic' accounts of the effect of switch probability on the auditory attention switch cost. [Manuscript submitted for publication].
DOI: 10.15468/dl.r2sk9d
title: Occurrence Download

description: A dataset containing 189 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Mozambique, South Africa)",
 "TaxonKey is Raphia australis Oberm. & Strey"
 ]
}

 The dataset includes 189 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014068-241126133413365/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.27951294
title: Figure&thematic analysis

description: Figure&thematic analysis
DOI: 10.6084/m9.figshare.27951294.v1
title: Figure&thematic analysis

description: Figure&thematic analysis
DOI: 10.18150/fubxpn
title: Plans of Kamieniec Podolski fortress

description: The collection contains digital copies of plans for the Kamianets-Podilskyi fortress. Detailed descriptions of the plans can be found in: L. Opyrchał, Plans of Kamianets-Podilkyi fortres until 1795, DIG, Warszawa 2021, ISBN 987-83-286-0175-8