cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.12708652
title: Data Repository: Land surface modelling activities at Weierbach catchment.

description: The data in this repository comes from the modelling activities with the Community Land Model version 5.0 (CLM5) carried out at the Weierbach catchment, Luxembourg. The repository contains:



A list of matric potentials of Fagus sylvatica at which it experiences a specific loss of conductivity (i.e., 12%, 50%, 88%) obtained from published data [File: additional_PHT_Fagus_sylvatica_Europe.csv].

The hourly atmospheric forcing used during the simulations with CLM 5.0 in a NetCDF format [File: atmospheric_forcing.zip].

All model results per experiment [model_results.zip].

The R scripts for processing the model results for obtaining the information required for each figure [Files: manuscript_figure_#.R].

A daily summary of the tree water deficit calculated per PFT, individual tree species, and the whole ecosystem [File: twd.csv].

A daily summary of tree transpiration scaled at the catchment level per PFT, individual tree species, and the whole ecosystem [File: et_mm_wei.csv]. This daily summary is based on the hourly data available on: Klaus, J., Fabiani, G., Schoppach, R., Chun, K. P., Iffly, J. F., Penna, D., & Juilleret, J. (2024). Detailed sap flow monitoring data at Weierbach catchment, Luxembourg (Version v01) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.11381618
DOI: 10.5281/zenodo.13147420
title: Raw data from histological sections of hypoxic exposed mice

description: The file contains all histological images of uncropped versions of hypoxic exposed mice
DOI: 10.5281/zenodo.7965416
title: An Integrated Precipitation Product for the Arid and Semi-arid Regions of China

description: We integrate various reanalysis, meteorological observation, and satellite precipitation datasets, including CRU (Climate Research Unit), MERRA2 (Modern-Eta Retrospective Analysis for Research and Applications version2), CMAP (Climate Prediction Center (CPC) integrated analysis of monthly precipitation), GPCP (Global Precipitation Climatology Project) and GPM (Global Precipitation Measurement), to create a new monthly precipitation product with a spatial resolution approximately 0.2° × 0.2° (latitude × longitude) during the period from 1980 to 2019 in ASRC. The new product was validated with observations at different temporal scales (e.g., monthly to yearly variability and trends). The results show that the new product improves the accuracy of precipitation with the lower bias of -1.1 mm month<sup>-1</sup>. The annual trend of integrated precipitation is 0.09 mm/year which is consistent with the trend of observation.
DOI: 10.6084/m9.figshare.25374556
title: SBAS-InSAR inversion results for the study 'Surface time series response under extreme weather and deformation cause analysis in Zhengzhou, China, combined with InSAR and GRACE'

description: This dataset includes the SBAS-InSAR inversion results for the study 'Surface time series response under extreme weather and deformation cause analysis in Zhengzhou, China, combined with InSAR and GRACE'
DOI: 10.6084/m9.figshare.25961581.v2
title: Additional file: Exploring the relationship between ESG, financial performance, and corporate reputation using ANOVA: The case of Colombian companies

description: Additional file. Input data.Article: Exploring the relationship between ESG, financial performance, and corporate reputation using ANOVA: The case of Colombian companies.
DOI: 10.1285/i20356609v15i3p507
title: Politics During and After Covid-19: Science, Health and Social Protest

description: Covid-19 represented a total social fact, especially for that part of the world (the so-called Global North and in particular its wealthier component) which is less used to face dramatic crises able to affect fundamental rights and provoke health threats on a daily basis. While acknowledging its enormous impact on individual biographies, political systems and socio-economic equilibria around the planet, however we contrast those interpretations that have tended to naturalize the pandemic event, reading it as unpredictable, unique, disconnected from the dynamics that guide the (mainstream) Western lifestyle and mode of production. On the contrary, the genesis and above all the management of Covid-19 are the result and the mirror of broader dynamics linked to modernity, colonialism, capitalism, in one word of the Capitalocene. For this reason, it is even more correct to speak of a syndemic, to underline the environmental determinants of health, and the social and economic inequalities (re)produced by Covid-19. We therefore consider that interpreting the pandemic/syndemic (and its governance) as a state of exception is at least partial, being instead more useful to identify its unveiling function, able to make some latent or less visible dynamics manifest. Based on such premises, we focus on some nodes of the syndemic governance, highlighting how this contributed to give continuity and accelerate typical dynamics of a neoliberal governance and worldvision. We deal in particular with four key issues: the treatment of "science" by the media; the political history of "public health" and its relationship to the modern state; the construction of legitimate dissent vs. the constructed irrationality of "conspiracy theory"; the outcomes of social protests and in particular their pathologization in the mediatic and public debate. These are also among the main topics which are critically discussed in the thirteen papers that compose this Special Issue, from a variety of disciplinary fields, and with diverse epistemological perspectives and methodological tools.
DOI: 10.24432/c5rp6w
title: Gas Sensor Array Drift Dataset
DOI: 10.6084/m9.figshare.26302213.v1
title: <i>Ideonella </i><i>margarita </i>sp. nov., <i>Ideonella lacteola </i>sp. nov., <i>Pseudaquabacterium inlustrecum</i><i> </i>sp. nov. and <i>Pseudaquabacterium rugosum</i><i> </i>sp. nov., isolated from streams in China and reexamining the taxonomic status of all the genera within the family <i>Sphaerotilaceae</i>

description: Supplementary Material for ‘<i>Ideonella </i><i>margarita </i>sp. nov., <i>Ideonella lacteola </i>sp. nov., <i>Pseudaquabacterium inlustrecum</i><i> </i>sp. nov. and <i>Pseudaquabacterium rugosum</i><i> </i>sp. nov., isolated from streams in China and reexamining the taxonomic status of all the genera within the family <i>Sphaerotilaceae</i>’, as published in <i>International Journal of Systematic and Evolutionary Microbiology</i>.
DOI: 10.15468/dl.24dv8c
title: Occurrence Download

description: A dataset containing 844 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Eleutherodactylus greyi Dunn, 1926, Eleutherodactylus gossei Dunn, 1926, Eleutherodactylus gryllus Schmidt, 1920, Eleutherodactylus daryi Ford & Savage, 1984, Eleutherodactylus greggi Bumzahem, 1955, Eleutherodactylus royi Morales, 2007)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 844 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004623-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.52r9jm
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pseudoeurycea anitae Bogert, 1967)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 51 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004624-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/ieda/314912
title: Ship-based Trackline Geophysical Data (MGD77) acquired during the Maurice Ewing expedition EW9509 (1995)

description: This data set was acquired with a ship-based Varian Inc. V75 Magnetometer, BellAerospace BGM-3 Gravimeter, and Atlas Hydrosweep DS Multibeam Sonar system during Maurice Ewing expedition EW9509 conducted in 1995 (Chief Scientist: Dr. Don Reed). These data files are of MGD77 format and include Gravity Field, Magnetic Field, and Singlebeam Bathymetry data and were processed after data collection. Data were acquired as part of the project(s): U.S.-ROC Deep Seismic Imaging Study of the Taiwan Arc-Continent Collision, and funding was provided by NSF grant(s): OCE94-16583, OCE94-17411, OCE94-17414, OCE94-17415, and OCE95-13945.
DOI: 10.17632/cp4jxphy27.1
title: RH200 Sounding Rocket Observations from Thumba

description: These files contain vertical profiles of zonal and meridional winds in the 25-65km height region over Thumba (8.5N,76.9E) obtained using Rohini 200 (RH200) sounding rocket observations during November 2002 to November 2007 at a vertical resolution of 1km.
DOI: 10.17632/gxwft86xvf.2
title: Datasets of the paper "Stochastic assessment of dissolution at fluid-mineral interfaces"

description: Reaction rate data evaluated from Atomic Force Microscopy topography images of a calcite sample subject to dissolution at far-from-equilibrium conditions under continuous flow.
DOI: 10.26022/ieda/113013
title: Major and trace element chemistry of volcanic tephra deposits at IODP Expedition 341 sites U1417 and U1418 (Gulf of Alaska)

description: During and after International Ocean Discovery Program (IODP) Expedition 341 to the Gulf of Alaska, &gt;100 macroscopic volcanic glass-rich tephra deposits were identified in the scientific marine drill cores recovered at Sites U1417 and U1418. After confirmation using smear slide optical analysis techniques, bulk sediment samples were collected, the glass shards were concentrated, and prepared as grain-mount thin sections for in situ geochemical characterization using electron probe microanalyzer (EPMA) and laser-ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) methods. This data release contains the following major element concentrations for 178 tephra layers from IODP Expedition 341 Sites U1417 and U1418: Na2O, MgO, Al2O3, SiO2, P2O5, Cl, K2O, CaO, TiO2, MnO, FeOt. It also contains the following trace element concentrations for 44 tephra layers: Li, P, Ca, Sc, Ti, V, Mn, Cu, Zn, Rb, Sr, Y, Zr, Nb, Cs, Ba, La, Ce, Pr, Nd, Sm, Eu, Gd, Dy, Er, Yb, Hf, Ta, Pb, Th, U. Major and trace element data can be linked to samples, and their metadata, using IGSN numbers. We also provide concentrations for standard reference materials analyzed during analytical sessions as well as tables reporting their overall accuracy and precision.
description: Lubbers, Jordan and Loewen Matthew and Wallace Kristi and Coombs Michelle and Addison, Jason (in review G-cubed) Probabilistic source classification of large tephra producing eruptions using supervised machine learning: An example from the Alaska-Aleutian arc
DOI: 10.3886/e195381v1
title: ChatGPT Bias Proof of Concept Study

description: This data was produced by running prompts in ChatGPT3.5 in September and October, 2023. <br><br>Data is divided into "tests". Each test includes 50 "chats," and each chat includes 2 prompts and responses.<br><br>Included is a summary of prompts run, full results of each test, and an SPSS file of score summaries and variables.
DOI: 10.48329/2qy5-xx60
title: CPRD Aurum HES A&E August 2021

description: HES Accident and Emergency (HES A&E) data consists of individual records of patient care administered in the accident and emergency setting in England. These data are a subset of national A&E data collected by NHS England to monitor the national standard that 95% of patients attending A&E should wait no longer than 4 hours from arrival to admission, transfer or discharge. A&E data are submitted by A&E providers of all types in England. Data collected includes details about patients’ attendance, outcomes of attendance, waiting times, referral source, A&E diagnosis, A&E treatment (drugs prescribed not recorded), A&E investigations and Health Resource Group. HES A&E may be used to clarify the health care pathway, to quantity health resource use and costs in the emergency setting, and to assess variations in the uptake of emergency services over time. Requests for HES A&E data access are subject to prior protocol approval. Further information is available at https://www.cprd.com/linked-data. Coverage from April 2003 to March 2020.
DOI: 10.48329/7hm3-gt75
title: CPRD Aurum HES OP August 2021

description: HES Outpatient (HES OP) data are a collection of individual records of outpatient appointments occurring in England only. The data includes information on the type of outpatient consultation appointment dates, the main specialty and treatment specialty under which the patient was treated, referral source, waiting times, clinical diagnosis and procedures performed. HES OP data can be used to support health resource utilisation studies, clarify clinical health care pathways and enable variations in the uptake of services to be evaluated, for example by gender and age. Requests for HES OP data access are subject to prior protocol approval. Further information is available at https://www.cprd.com/linked-data. Coverage from April 2003 to October 2020.
DOI: 10.5066/f7m61j42
title: Oxide and Cation Compositions of Olivine Grains from Drill Core in the Duluth Complex, Minnesota

description: The table contains oxide and cation compositions of olivine grains from drill core of the Duluth Complex, Minnesota. The oxides were determined by electron probe microanalysis (EPMA) and are reported in weight percent (wt%). The cations were calculated based on the oxide compositions and are reported in mole percent (mol%). Olivine is a magnesium iron orthosilicate mineral with the formula (Mg2+, Fe2+)2SiO4. Olivine forms a solid solution series with magnesium (Mg) at one end and iron (Fe) at the other. Forsterite (Mg2SiO4) is the magnesium endmember and fayalite (Fe2SiO4) is the iron endmember. Minor elements can substitute into the crystal structure, such as manganese (Mn) and nickel (Ni). To better understand the chemical composition of the measured olivine grains, the percent forsterite (Fo), also known as the magnesium number (Mg#), and the percent fayalite (Fa) were calculated.
DOI: 10.5066/p9pieh9y
title: Metrics to Characterizing Periods of Anomalously Low Water Storage for Selected Reservoirs in the Conterminous U.S. from 1981 to 2020

description: This metadata record describes a series of tabular datasets containing metrics used to characterize periods of anomalously low storage for select large reservoirs across the Conterminous United States for the climate years (April 1 – March 31) from 1981 to 2020. These data support the associated Simeone and others (2024) publication. The reservoirs in this dataset are those included in the ResOpsUS dataset, with sufficient data during the period of interest. These metrics include reservoir storage percentiles, identified low-storage anomaly events, annual low storages, low-storage anomaly statistics for each event, and trends in reservoir metrics. This data release contains the following files:

One version of the following three files for variable threshold method low-storage anomaly (weibull_jd), fixed threshold method low-storage anomaly (weibull_site), and operating curve-based low-storage anomalies (operating curve). Substitute each of these strings in parentheses for the strings here between *.
1) percentiles_1981_2020.zip: Percentile zip files for the period of 1981-2020. This zip file contains the reservoir storage, inflow, and outflow percentiles as individual csv files for each reservoir (for example, res_ops_XXX.csv, where XXX is the ResOpsUS reservoir identification number) including percentiles from each different method. The metadata contains column details for an example version of these files.
2) reservoir_1981_2020_*weibull_jd*_drought_properties.csv: This is a csv file that contains summaries of each low-storage anomaly event for each reservoir for each threshold. One of these files exists for each of our three low-storage anomaly methods. The three files included have different labels for each of the three different methods of identifying low-storage anomalies.
3) reservoir_1981_2020_*weibull_jd*_complete_annual_stats.csv: This csv is a csv file that contains the annual low-storage anomaly statistics for each climate year, threshold, and reservoir. The three files included have different labels for each of the three different methods of identifying low-storage anomalies.
4) reservoir_1981_2020_*weibull_jd*_trends.csv: This csv contains data on trends in low-storage anomaly characteristics for selected reservoirs during our primary period of interest from 1981 to 2020.
5) reservoir_metadata.csv: This csv file contains metadata for each reservoir.

Simeone C.E., Hammond, J.C., Archfield, A.A., Broman, D., Condon, E.C., Eldardiry, H., Olson, C.G., & Steyaert, J.C. 2024, Declining Reservoir Reliability and Increasing Reservoir Vulnerability: Long-Term Observations Reveal Longer and More Severe Periods of Low Reservoir Storage for Major United States Reservoirs. Geophysical Research Letters.
DOI: 10.5281/zenodo.10245309
title: Dataset related to the publication "Sub-Doppler optical-optical double-resonance spectroscopy using a cavity-enhanced frequency comb probe"

description: The files contain 
1. Binary files with normalized and interleaved double-resonance spectra recorded with three different pump transitions and two different relative pump-probe polarizations, indicated in the file name. These spectra are the results of 5 measurements.
2. Binary file with 45 normalized and interleaved double-resonance spectra recorded with pump on the R(2, F2) transition and parallel relative pump-probe polarization.
2. Data for Figures 4, S1 and S3 in the paper.
DOI: 10.5281/zenodo.10287380
title: Reservoir operating rules to create effective fish migration passages in a reservoir [Dataset]
DOI: 10.5281/zenodo.10725695
title: A Mechanistic Study of Inverse Temperature Layer of1 Water Bodies
DOI: 10.5281/zenodo.11373409
title: Velocity of Greenland's Helheim Glacier controlled both by terminus effects and subglacial hydrology with distinct realms of influence

description: Description of files contained in this archive:

 

SHAKTI-ISSM model output

Winter spin-up

Helheim_SHAKTI_N_2_1yr_H10.mat





Winter base state spin-up simulation, final state serves as initial conditions for seasonal simulations



 

Seasonal hydrology-forced simulations

Helheim_big_seasonal_low.mat





Seasonal simulation



Helheim_big_seasonal_firn.mat





Seasonal + firn aquifer simulation



Helheim_big_seasonal_bigmelt.mat





Enhanced melt simulation



 

Seasonal terminus-forced simulations

Helheim_termforce_year2_v3.mat





Termforce simulation



Helheim_termforce_seasonal_v3.mat





Seasonal + termforce simulation



Helheim_termforce_seasonal_firn_v3.mat





Seasonal + firn aquifer + termforce simulation



Helheim_termforce_seasonal_bigmelt2_v3.mat





Enhanced melt + termforce simulation



 

Sensitivity simulations

MOLHO_365d.mat





Winter base state spin-up simulation using MOLHO instead of SSA



A15_365d.mat





Winter base state spin-up simulation with flow law parameter for -15 deg C instead of -10 deg C



Helheim_br1_lr100_1yr.mat





Winter base state spin-up simulation including opening by sliding, final state serves as initial conditions for seasonal simulations



Helheim_br1_lr100_bigmelt.mat





Enhanced melt simulation including opening by sliding





Model setup scripts (to be used with ISSM in MATLAB)

runme_Helheim_inversion.m





Script to perform stress balance inversion



Helheim_CG.exp





Model domain coordinates



Greenland_clean.par





Parameter file



merra2_runoff.mat





14-day smoothed meltwater input



runme_Helheim_shaktiissm_startfrominversion_clean.m





Script to perform coupled SHAKTI-ISSM simulation, beginning from a model set up in the inversion script



runme_Helheim_continue_shaktiissm_clean.m





Script to continue a coupled SHAKTI-ISSM simulation, beginning from the end state of a previous SHAKTI-ISSM simulation



runme_Helheim_continue_seasonal_clean.m





Script to run a transient seasonal coupled SHAKTI-ISSM simulation, beginning from the end state of a winter SHAKTI-ISSM spin-up simulation



 

Plotting scripts

load_models_Helheim_termforce.m





Load model output



plot_timeseries_coupled_point_paper_clean.m





Plot time series of effective pressure, velocity, and meltwater input. Also plots scatter plot of velocity vs. effective pressure



plot_pm_logscale.m





Plot difference in velocity compared to winter state with +/- log10 color scale



plot_pm_logscale_N.m





Plot difference in effective pressure compared to winter state with +/- log10 color scale
DOI: 10.5281/zenodo.11547653
title: Supporting Data for "Coccolithophore Assemblage Response to Indian Monsoon-ENSO Teleconnections During the Last Century" - AGU Paleoceanography and Paleoclimatology

description: Data (Tables S1-S3) supporting the manuscript "Coccolithophore Assemblage Response to Indian Monsoon-ENSO Teleconnections During the Last Century". Files are uploaded as .csv format. Below are descriptions of the data generated from this study. In Table S1, the thickness data of von Rad et al. (1999), publicly available in PANGAEA, were used to construct the revised core composite stratigraphy for Core SO90-39KG. Please refer to the manuscript for details of the referenced publication.

 




Table
Table Description


S1
Revised composite stratigraphy of core SO90-39KG.


S2
Raw count data of all coccolithophore species identified in sediment samples in core SO90-39KG.


S3
Relative abundance data of all coccolithophore species identified in sediment samples in core SO90-39KG.
DOI: 10.5281/zenodo.12634388
title: A quantitative model of temperature-dependent diapause progression

description: R-code and data for reproducing the results of von Schmalensee, Süess et al. 2024 PNAS

Scripts will run/load the models and save the raw figures in the figure folder.

Remember to install the required packages (see 'functions_packages.R' in the functions folder).

R version 4.3.3 and brms version 2.21.0 was used.