cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1285/i1825229xv7n2p62
title: Occurence of the alien species Caprella scaura (Amphipoda: Caprellidae) in three Tyrrhenian lagoons

description: 1 - Alien species represent a recognized worldwide threat to the integrity of the native communities, to the economy and even to human health; hence the understanding of invasive processes and their impact on the invaded ecosystems are essential to environmental conservation and management. 
2 - In this paper we have reported, for some Italian lagoons, the first record of the alien species Caprella scaura Templeton, 1836, an amphipod species native to the Indian Ocean and now recorded worldwide. 
3 - Specimens of C. scaura were collected in three Tyrrhenian lagoons (Santa Gilla, Caprolace and Fogliano), sorted into 5 categories (juveniles, males, immature females, mature females, breeding females) counted and measured for their total length. 
4 - In Caprolace and Fogliano lagoons very few specimens were collected, while in the Santa Gilla samples a considerable number of individuals were found, particularly juveniles and immature females. 
5 - Total length values of our specimens were lower than those reported from others Mediterranean areas. 
6 - The introduction of this species in Caprolace and Fogliano lagoons is clearly a recent event while in Santa Gilla lagoon it is undefined.
DOI: 10.13012/j8mw2f2q
title: Illinois Climate Network

description: The Illinois Climate Network (ICN) monitors weather and soil groundwater conditions at 19 stations throughout Illinois. Operating since 1989, the network provides hourly and daily data on numerous parameters, including air temperature, precipitation, and wind speed as well as soil temperature and moisture.  Data updated monthly.
DOI: 10.15156/bio/2483911
title: UNITE general FASTA release for Fungi

description: This release consists of a single FASTA file: the RepS/RefS of all SHs, adopting the dynamically use of clustering thresholds whenever available.
DOI: 10.15784/601235
title: CATS2008: Circum-Antarctic Tidal Simulation version 2008

description: CATS2008 is a regional inverse barotropic tide model for the circum-Antarctic ocean on a 4 km grid. The model domain includes ocean cavities under the floating ice shelves. The coastline is based on the MODIS MOA [Scambos et al., 2007; Remote Sensing of Environment] feature identification files, adjusted to match ICESat-derived grounding lines for the Ross and Filchner-Ronne ice shelves and Interferometric Synthetic Aperture Radar (InSAR) grounding lines. The water depth map for open water is based on the 2007 release update to Smith and Sandwell [1997; Science]. Adjustments to this map have been made in various regions, including the open continental shelf in front of the Larsen-C Ice Shelf which has been blended with GEBCO bathymetry. Model type: Tides only; Inverse (data assimilation); barotropic (no vertical variation of currents) Grid: 4-km uniform polar stereographic (centered at 71 degrees S, 70 degrees W) Constituents: M2, S2, N2, K2, K1, O1, P1, Q1, Mf, Mm Units: z (sea surface height; meters); u,v (currents; cm/s); U,V (transports; m2/s) Coordinates: Currents (u, v) and depth-integrated transports (U, V) are given as East (u, U) and North (v, V) components Citation: “… an update to the inverse model described by Padman et al. [2002].” See CATS2008_README.pdf for further details.
DOI: 10.1594/pangaea.792944
title: Physical oceanography and current meter data from mooring AWI205

description: Gear ID 1: RCM7/8, SN 8396; Gear ID 2: RCM7/8, SN 8367; Gear ID 3: RCM7/8, SN 8399; Gear ID 4: RCM7/8, SN 9182
DOI: 10.1594/pangaea.792972
title: Physical oceanography and current meter data from mooring AWI211-2

description: Gear ID 1: ATK, SN 110401; Gear ID 2: ATK, SN 110402; Gear ID 3: ATK, SN 110403; Gear ID 4: ATK, SN 110404; Gear ID 5: ATK, SN 110405; Gear ID 6: ATK, SN 110406; Gear ID 7: ATK, SN 110407; Gear ID 8: ATK, SN 110408; Gear ID 9: ATK, SN 110409; Gear ID 10: ATK, SN 110410; Gear ID 11: ATK, SN 110411; Gear ID 12: RCM7/8, SN 10004; Gear ID 13: RCM7/8, SN 8396
DOI: 10.17189/1520117
title: Juno SPICE Kernels V1.0
DOI: 10.17189/1520191
title: JUNO JUPITER JUNOCAM 2 EDR L0 V1.0
DOI: 10.17882/104709
title: Trajectory data for APEX floats AWI 9223 and AWI 9224 from acoustic tracking using artoa4argo, Mar 2022-Feb 2023

description: Trajectory data for APEX floats 9223 and 9224 along Dronning Maud Land and Coats Land in the southern Weddell Sea from Mar 2022 - Feb 2023. The APEX floats were deployed during the Hybrid Antarctic Float Observing System (HAFOS) in the Weddell Sea on expedition PS129 with POLARSTERN. The attached archive contains trajectory data obtained through acoustic tracking using artoa4argo V4.355 (temporal sampling interval: daily).
DOI: 10.18112/openneuro.ds004504.v1.0.2
title: A dataset of 88 EEG recordings from: Alzheimer's disease, Frontotemporal dementia and Healthy subjects
DOI: 10.24381/cds.dd7c6d66
title: Complete UERRA regional reanalysis for Europe from 1961 to 2019
DOI: 10.24381/cds.e9c9c792
title: ERA5-Land post-processed daily statistics from 1950 to present
DOI: 10.24432/c5hc70
title: Multiple Features
DOI: 10.25392/leicester.data.28143227.v1
title: SOPHIE-M substorm list

description: This is the SOPHIE-M substorm list generated using the method outlined in Asymmetry in the ring current during geomagnetic disturbances by G.E. Bower, S. Imber, S.E. Milan, A. Schillings, A.L. Fleetham, C. Beggan and J. W. Gjerloev. Using the SOPHIE 90 EPT substorm list from Forsyth et al. 2015Data is presented in the format: year, month, day, hour, minute, phase and flag.Phase number: 0: Quite, 1: Growth, 2: Recovery, 3: Expansion and 4: Multiple intensification Flag from SOPHIE 90 EPT list indicating that the rate of change of SMU is similar to that of SML in the expansion phase (0 for no flag, 1 for flag).<br><br>
DOI: 10.48364/isimip.721480
title: ISIMIP2a Simulation Data from the Global Biomes Sector

description: This dataset contains ISIMIP2a (https://www.isimip.org, Schewe et al. 2019) simulation data from 8 biomes models: CARAIB (Dury et al. 2011), DLEM (Tian et al. 2014, Tian et al. 2015, Pan et al. 2014, Yang et al. 2015), JULES-B1 (Clark et al. 2013, Best et al. 2013, Harper et al. 2016), LPJ-GUESS (Smith et al. 2014), LPJmL (Sitch et al. 2003, Schaphoff et al. 2013, Bondeau et al. 2007), ORCHIDEE, VEGAS (Zeng et al. 2013, Zeng et al. 2005), and VISIT (Ito et al. 2002, Ito et al. 2012).<br>With version 2.0 of this dataset, the DOI page has been moved to the new ISIMIP repository.
description: The ISIMIP2a biomes outputs are based on simulations from biomes models according to the ISIMIP2a protocol (https://www.isimip.org/protocol/2a/). A more detailed description of the models and model-specific amendments of the protocol are available at https://www.isimip.org/impactmodels.
DOI: 10.48670/mds-00327
title: Global Total (COPERNICUS-GLOBCURRENT), Ekman and Geostrophic currents at the Surface and 15m
DOI: 10.48690/1524213
title: LandScan Global 2018

description: Using an innovative approach that combines Geographic Information Science, remote sensing technology, and machine learning algorithms, ORNL's LandScan is the community standard for global population distribution. At 30 arc-second (approximately 1 km) resolution, LandScan is the finest resolution global population distribution data available representing an 'ambient population' (average over 24 hours). The LandScan algorithm, an R&D 100 Award Winner, uses spatial data, high-resolution imagery exploitation, and a multi-variable dasymetric modeling approach to disaggregate census counts within an administrative boundary. LandScan population data are spatially explicit - unlike tabular Census data. Since no single population distribution model can account for the differences in spatial data availability, quality, scale, and accuracy as well as the differences in cultural settlement practices, LandScan population distribution models are tailored to match the data conditions and geographical nature of each individual country and region. By modeling an ambient population, LandScan Global captures the full potential activity space of people throughout the course of the day and night rather than just a residential location.
DOI: 10.5066/p9fw7klh
title: Climate, Landscape, and Water-Quality Metrics for Selected Watersheds in Fairfax County, Virginia, 2007-2018

description: This data release documents spatiotemporal water-quality, landscape, and climatic conditions in Fairfax County, Virginia from 2007 through 2018. These data were used to evaluate the water-quality and ecological condition of 20 Fairfax County watersheds monitored since 2007. Data include measures of water-quality, precipitation, air temperature, land use, land cover, wastewater and stormwater infrastructure, soil properties, geologic setting, and stream networks. Annual values from 2007 through 2018 are reported for data expected to change over time. Watershed-specific values are reported for data that differ across the landscape. Annual values for the 20 study watersheds and Fairfax County are reported in the file &quot;Spatiotemporal Predictors.csv&quot;. [...]
DOI: 10.5067/aura/mls/data2507
title: MLS/Aura Level 2 Geopotential Height V005
DOI: 10.5067/aura/mls/data2508
title: MLS/Aura Level 2 Water Vapor (H2O) Mixing Ratio V005
DOI: 10.5067/aura/mls/data2520
title: MLS/Aura Level 2 Temperature V005
DOI: 10.5067/d7gk8f5j8m8r
title: MEaSUREs InSAR-Based Antarctica Ice Velocity Map, Version 2
DOI: 10.5067/ei5hglm2nnhn
title: MODIS/Terra Snow Cover Daily L3 Global 0.05Deg CMG, Version 5
DOI: 10.5067/gpm/dpr/gpm/2a/07
title: GPM DPR Precipitation Profile L2A 1.5 hours 5 km V07
DOI: 10.5281/zenodo.12812047
title: CESM2 data for "Internal Wind Driven Ocean Circulation Variability Delays the Time of Emergence of Externally Forced Sea Surface Temperature Trends" - submitted to GRL

description: CESM2 Experiment names:



MDM = mechanically decoupled model (referred to as MDM in paper)

FCM = fully coupled model (referred to as FCM in paper)


Details for files cesm2.[experiment name].SST.noise.nc



These files include the unfiltered time-varying SST noise 

"noise" refers to ensemble standard deviation (no 10-yr running mean has been applied) 

"SST" is the annual mean SST

Time period is 1900-2014


For the ensemble mean SST, see previously created Zenodo repository by Fu et al: https://zenodo.org/records/10484207

For other ensemble mean variables, see previously created Zenodo repository by McMonigal et al: https://zenodo.org/records/7154374
DOI: 10.5281/zenodo.14625201
title: Detrended TEC data in 2022 (January to February)

description: This dataset is the remaining total electron contents subtracted from the contents smoothed with a 15-minute window. We used the dataset for Kogure et al. (2025) to investigate concentric traveling ionospheric disturbances. This link has the remaining total electron contents in January to February.

This data repository can be cited as follows.

Kogure, M. & Otsuka, (2025), Detrended TEC data in 2022 (January to February), [Dataset], https://zenodo.org/records/14625201, Zenodo, V2.
DOI: 10.5281/zenodo.14625750
title: Deterened TEC data in 2022 (July to August)

description: This dataset is the remaining total electron contents subtracted from the contents smoothed with a 15-minute window. We used the dataset for Kogure et al. (2025) to investigate concentric traveling ionospheric disturbances. This link has the remaining total electron contents in July to August.

This data repository can be cited as follows.

Kogure, M. & Otsuka, (2025), Detrended TEC data in 2022 (July and August), [Dataset], https://zenodo.org/records/14625750, Zenodo, V1.
DOI: 10.5281/zenodo.14887998
title: Raw data of Mix_et_al_2025

description: Raw experimental data of Mix_et_al (2025) Nature Microbiology
DOI: 10.5281/zenodo.14902906
title: Most bacterial gene families are biased toward specific chromosomal positions

description: The arrangement of genes along bacterial chromosomes influences their expression through growth rate-dependent gene copy number changes during DNA replication. While translation and transcription genes often cluster near the origin of replication, the extent of positional biases across gene families remains unclear. We hypothesized that natural selection broadly favors specific chromosomal positions to optimize growth rate-dependent expression. Analyzing 910 bacterial species and proteomics data from Escherichia coli and Bacillus subtilis, we find that about two-thirds of bacterial gene families are positionally biased, mainly near the origin or terminus of replication, with the strongest natural selection in fast-growing species. Our findings reveal chromosomal positioning as a fundamental mechanism for coordinating gene expression with growth rate, highlighting evolutionary constraints on bacterial genome architecture.
DOI: 10.5522/04/27014701.v1
title: Substorm onsets and phases (SOPHIE), 2010-2022, EPT 90

description: Outputs from the SOPHIE (Forsyth et al., 2015, 10.1002/2015JA021343) substorm onset and phase detection technique for SuperMAG data between 2010 and 2022 (inclusive).This version has been updated in to include the MLT and MLAT of the SuperMAG station providing the SML dataThis file provides the start times of growth/energy input, expansion and recovery phases determined by SOPHIE for an EPT of 90.Data generated for "Space Weather Forecasts of Ground Level Space Weather in the UK: Evaluating Performance and Limitations" by Smith et al., submitted to Space Weather.<br>The data is presented in 5 columns: -The date and time of the first data point in the given phase (YYYY/MM/DD-HH:MM:SS)The phase number (1 for growth/energy input, 2 for expansion, 3 for recovery)A flag indicating that the rate of change of SMU is similar to that of SML in the expansion phase (0 for no flag, 1 for flag)MLT of the active SML station at the shown timeMLAT of the active SML station at the shown time<br>The original SuperMAG indices can be downloaded from https://supermag.jhuapl.edu/
DOI: 10.5523/bris.3b8eg2be3ecw52vt38l7nq9kah
title: 'Sensing Spaces of Healthcare' interviews

description: Interviews on hospital arts, design, and architecture for the UKRI Future Leaders Fellowship 'Sensing Spaces of Healthcare: Rethinking the NHS Hospital' (MR/S033793/1) in 2022-23.
DOI: 10.6084/m9.figshare.28512044
title: A dataset of soil respiration and its basal rate across China

description: This dataset compiles related geographic, climatic, soil, and vegetation variables from each study, including latitude (<i>Lat</i>), longitude (<i>Lon</i>), altitude (<i>Alt</i>, m), <i>MAT</i> (°C), <i>T</i><sub><em>s</em></sub> (°C),<i> VWC </i>at 5-cm depth<sub> </sub>(m<sup>3 </sup>m<sup>-3</sup>), <i>MAP</i> (mm), potential evapotranspiration (<i>PET</i>, mm), aridity index (<i>AI</i>, i.e., the ratio of <i>MAP</i> to <i>PET</i>), <i>SOC</i> (g kg<sup>-1</sup>), <i>TN</i> (g kg<sup>-1</sup>), soil C:N, <i>LAI</i> (m<sup>2</sup> m<sup>-2</sup>), soil <i>BD</i> (g cm<sup>-3</sup>), soil pH, annual soil respiration, soil basal respiration and the ecosystem type.
DOI: 10.6084/m9.figshare.28714223
title: Supplementary Material for: Rare Association between Minimal Change Disease and Primary Biliary Cholangitis: Case report

description: Introduction: Primary biliary cholangitis (PBC) is a chronic and progressive cholestatic liver disease that is autoimmune in nature and characterized by circulating anti-mitochondrial antibodies (AMA). A wide range of autoimmune disorders have been concomitantly observed in patients with PBC, and although quite rare PBC has been associated with a wide variety of renal disorders. Glomerular diseases have a very rare association with PBC, and these include diffuse membranous glomerulonephritis and minimal change disease which have been sparsely described in prior literature. Presentation: Here we present a case of biopsy proven minimal change disease in a patient with PBC treated with a course of steroids and achieving complete recovery. Conclusion: Establishing the relationship between PBC and MCD has been limited in prior literature and should be kept in mind to bring forth this rare association which may help dictate future treatment courses.
DOI: 10.6084/m9.figshare.28770554
title: Supplementary Material for: Factors contributing to the efficacy of fecal microbiota transplantation for diarrhea-dominant functional bowel disorders

description: Introduction: In cases of effective fecal microbiota transplantation (FMT) for irritable bowel syndrome (IBS), donor feces have been observed to be enriched in Bifidobacterium spp., and FMT for functional bowel disease improved psychiatric symptoms. Although intestinal dysbiosis has received attention as one of the pathophysiologies of IBS, the efficacy of FMT for IBS has not yet been established. In this study, we performed a post-hoc analysis of the efficacy of FMT, focusing on metabolites in donor feces.
Methods: FMT was performed in 12 patients, 8 with refractory diarrhea-predominant IBS and 4 with functional diarrhea (FDr), who were refractory to medical therapy. The donors were family members within the second degree of kinship and were different for each transplant. Fecal characteristics were evaluated before and 12 weeks after transplantation using the Bristol stool scale (BS). BS scores of 3–5 at 12 weeks after transplantation were considered indicative of responders, while BS scores of 6 and 7 were indicative of non-responders. Metagenomic and metabolomic analyses of all 12 donor fecal samples were performed to compare the responder and non-responder groups.
Results: Before transplantation, all 12 patients had BS scores of 6–7, but 12 weeks after transplantation, 6 were in the responder group and 6 were in the non-responder group. Metagenomic analysis showed that effective donor feces contained significantly higher levels of Prevotella than ineffective donor feces. Metabolomic analysis showed that effective donor feces contained significantly higher levels of propionate and butyrate and significantly lower lactate levels than ineffective donor feces.
Conclusion: Propionate-, butyrate-, or Prevotella-rich donor feces may contribute to successful FMT in patients with diarrhea-dominant functional gastrointestinal disorders.
DOI: 10.1285/i1825229xv8n1p73
title: The macrozoobenthic community of the Santa Gilla lagoon (Southern Sardinia, Italy)

description: 1 - Macrozoobenthos is one of the most significant communities of hydrobionts for assessing the ecological state of a water body. In spite of its importance, only few data concerning the macrobenthic community of Santa Gilla lagoon are available;
2 - Santa Gilla is one of the most important wetlands in Sardinia. The aim of this study is to give data on species composition of its macrozoobenthic community;
3 - Sampling has been carried out in 2010-2011 in July, October, January and April, in three stations located along a salinity gradient and the main environmental parameters were measured;
4 - A total of 13031 specimens belonging to 92 taxonomic groups and 5 main phyla (Anellida, Mollusca, Arthropoda, Cnidaria and Nemertea) were found. Among them, 52 different taxa were collected and pointed out for the first time in Santa Gilla lagoon in this work.
5 - Finally, seasonal and space differences were observed in the abundance values of the main taxonomic groups and in the diversity indices values.
DOI: 10.15121/1805737
title: SOLTHERM Thermodynamic Database for Geochemical Modeling

description: This data submission is a link to a thermodynamic database maintained by the University of Oregon. The data at this link are not 'data results' from sampling. The data at this link comprise a thermodynamic database for aqueous species, minerals, and gases, including data for stoichiometry, equilibrium constants log K(T,P), aqueous activity coefficients, fugacity coefficients, and water enthalpy. These data are derived from SOLTHERM as a reference for the user, showing balanced reactions and equilibrium constants log K(T,P) along the liquid-vapor saturation curve only, up to 350 degrees C, for aqueous species and minerals including REE, and gases. These data include REE aqueous species and minerals. These data are used by programs SOLVEQ-XPT, CHIM-XPT, and GEOCAL-XPT.
DOI: 10.15468/dl.anruv4
title: Occurrence Download

description: A dataset containing 140 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "TaxonKey is Cycas circinalis L."
 ]
}

 The dataset includes 140 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025513-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p9b1s3k8
title: Physiographic divisions of the conterminous U.S.

description: These data were released prior to the October 1, 2016 effective date for the USGS&rsquo;s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. This is a polygon coverage of Physiographic Divisions in the conterminous United States. It was automated from Fenneman's 1:7,000,000-scale map, &quot;Physical Divisions of the United States,&quot; which is based on eight major 1946 divisions, 25 provinces, and 86 sections representing distinctive areas having common topography, rock types and structure, and geologic and geomorphic history.
DOI: 10.5281/zenodo.13858655
title: Dataset for "Identifying The Growth Phase of Magnetic Reconnection using Pressure-Strain Interaction"

description: Simulation dataset for the "Identifying The Growth Phase of Magnetic Reconnection using Pressure-Strain Interaction"
DOI: 10.5281/zenodo.14591863
title: Debris Flow Activity in the Southern Carpathians: Regional Chronology and Hydrometeorological Drivers - research data

description: Original Data Used for the Research:





IMERG_all file: Raw hourly precipitation data from the IMERG v7 data repository (1998–2023) for the locations studied in the debris-flow research, analyzed for duration and intensity.




UERRA_1961_2019: Raw precipitation data from the Copernicus Climate Data Store for the research locations, with precipitation variables calculated for the study.




Reference Chronologies: Raw measured data from individual reference trees at the selected study sites.