cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5066/f71c1twp
title: Health-Based Screening Levels for evaluating water-quality data

description: Health-Based Screening Levels (HBSLs) are non-enforceable water-quality benchmarks that can be used to (1) supplement U.S. Environmental Protection Agency (USEPA) Maximum Contaminant Levels (MCLs) and Human Health Benchmarks for Pesticides (HHBPs), (2) determine whether contaminants found in surface-water or groundwater sources of drinking water may indicate a potential human-health concern, and (3) help prioritize monitoring efforts. HBSLs were developed by the U.S. Geological Survey (USGS) National Water-Quality Assessment (NAWQA) Program for contaminants that do not have USEPA MCLs or HHBPs.\r\n\r\nHBSLs were updated in June 2014 in order to:\r\n-Provide benchmarks, when possible, for 267 new contaminants analyzed by the NAWQA Program.\r\n-Remove HBSLs for contaminants that have new USEPA chronic HHBPs.\r\n-Be consistent with new USEPA policies, by calculating both Noncancer and Cancer HBSLs for some contaminants.
DOI: 10.5067/gpm/imerg/3b-month/07
title: GPM IMERG Final Precipitation L3 1 month 0.1 degree x 0.1 degree V07
DOI: 10.5067/gpm/imergdl/day/06
title: GPM IMERG Late Precipitation L3 1 day 0.1 degree x 0.1 degree V06
DOI: 10.5281/zenodo.14361128
title: Quantifying the orientation dependence of diffraction contrast on magnetic STEM-DPC imaging of freestanding oxide thin films

description: These files accompany the article"Quantifying the orientation dependence of diffraction contrast on magnetic STEM-DPC imaging of freestanding oxide thin-films" for a  Special edition of Physical Review Materials. They consist of low-magnification 4D-STEM data and Python notebooks to process these files. These allow other users to reproduce the results seen in the paper, as well as test their own processing routines on the datasets from the paper.

The files with the ".zspy" extension are the 4D-STEM datasets, whereas the files with the ".ipynb" extension are the processing scripts. After installing the environments, as detailed below, the scripts can be run in order.
description: Installing Python environments

This section instructs how to install the Python environments used in this paper. Example instructions are given in Anaconda, with conda version 24.9.1. The pyxem environment is used for all notebooks aside from `s002_perform-phase-correlation.ipynb`, where the fpd environment is used instead.

If these installations do not work, the full environments are available in `pyxem-environment.yml` and `fpd-environment.yml`.



pyxem environment
The working environment uses the Python version 3.12.8:



conda create -n pyxem-environment python=3.12.8

conda activate pyxem-environment

The required packages can then be installed with the requirements-pyxem.txt file:



pip install -r requirements-pyxem.txt

 





fpd environment
The working environment uses the Python version 3.7.16:



conda create -n fpd-environment python=3.7

conda activate fpd-environment

The required packages can then be installed with the requirements-fpd.txt file:



pip install -r requirements-fpd.txt



 

Common metadata

Here is the metadata that is shared within the different tilt series:

Azimuthal tilt series

mode=LMSTEMnavigation_size=256x256navigation_step=80x80rotation=0°exposure=5msflyback=400mstemperature=-150.0°C

Polar tilt series

mode=LMSTEMnavigation_size=256x256navigation_step=45x45rotation=0°exposure=5msflyback=200mstemperature=-150.0°C
DOI: 10.5281/zenodo.7069065
title: Model and input files for Iyer & Ou, et al. 2022 (Ratcheting of climate pledges needed to limit peak global warming )

description: The GCAM model (GCAMv5.3 NDC) and input files used to conduct Iyer & Ou, et al. 2022 (Ratcheting of climate pledges needed to limit peak global warming ) The model needs to be compiled using third-party libraries (see https://jgcri.github.io/gcam-doc/gcam-build.html). Source code has been included in the GCAMv5.3_NDC/csv Default GCAM input files have been included in GCAMv5.3_NDC/input/gcamdata/xml Additional input files for NDC scenarios have been included in GCAMv5.3_NDC/input/NDC_Ratchet_policy A sample configuration_NDC_sample.xml has been included in GCAMv5.3_NDC/exe with detailed setup instruction
description: Code will be Open Access upon formal publication.
DOI: 10.6084/m9.figshare.21542655
title: Valley networks and watershed reconstruction data for Alba Mons, Mars

description: The data archived here include specific results from geologic mapping and hydrological modeling of surface run-off at the Martian volcano Alba Mons associated with the publication "<b>Mapping fluvial valleys on the flanks of Alba Mons: Implications for Amazonian watershed development in northern Tharsis, Mars" </b>submitted to the Earth and Space Science. These results were generated from analyses of imaging and topographic datasets acquired from spacecraft orbiting Mars, and were used to provide descriptions and quantitative characteristics of hydrological systems on Alba Mons. Data here include: Figure 4 (three cross-sectional profiles of valleys, CSV text data file), Figure 5 (valley mapping from THEMIS and CTX, ESRI shapefile and an interpolation of drainage density based on the manually mapped valleys, geotiff), Figure 11 (comparison of regional slope and drainage density at a 50 km grid, ASCII grid), and Figure 13 (watershed reconstructions described in the paper, ESRI shapefile). More details of the study can be found in the publication.<b>Citation</b><br>When using these data, please cite the following with the appropriate version number:<br><i>Scheidt, S.P., </i><i>Crown, D.A., </i><i>and Berman, D.C. (2025). </i><i>Valley networks and watershed reconstruction data for Alba Mons, Mars</i><i> (Version 1). figshare, </i><i>doi.org/0.6084/m9.figshare.21542655</i>and <i>Scheidt, S.P., </i><i>Crown, D.A., </i><i>and Berman, D.C. (202</i><i>5). </i><i>Mapping fluvial valleys on the flanks of Alba Mons: Implications for Amazonian watershed development in northern Tharsis, Mars</i>.<i> </i><i>Earth and Space Science</i><i>, [in review].</i><br>
DOI: 10.6084/m9.figshare.28741103
title: Supplementary Material for: Trigeminal neuralgia as a rare complication of idiopathic intracranial hypertension

description: Introduction: Idiopathic intracranial hypertension (IIH) is a rare cause of chronic headaches. Usually, patients with IIH present headaches and papilledema with no focal neurological signs. Classical MRI findings feature characteristic signs ie dilated peri optic nerves sheath and empty sella turcica. Rarely, cranial nerve palsies existed, especially abducens nerve palsy. 
Case presentation: We reported herein another rare clinical feature of IIH: trigeminal neuralgia in association with meningocele. This 35-year-old obese woman initially presented with chronic headaches and papilledema. Cerebral MRI showed classical IIH findings. The CSF opening pressure was increased. A treatment coupling acetazolamide and iterative lumbar punctures led to the regression of papilledema, but headaches were difficult to control. Ten years later, while she was lost to follow up and treated with acetazolamide by her general practitioner, she developed extremely painful neuropathic pain in the left trigeminal nerve territory, in association with a recurrence of the chronic headaches. A new MRI showed new bilateral cavum trigeminal meningoceles, predominantly on the left side, associated with an atrophy of the cisternal segment of the left trigeminal nerve. Angio-CT showed transverse sinus stenosis, treated by stenting. After this treatment, IIH symptoms disappeared while trigeminal neuralgia amplified: a surgical procedure led to its complete disappearance. Conclusion: To our knowledge, this is the first case reported of trigeminal neuralgia associated with meningocele formation in IIH. Our case illustrates the great efficacy of venous stenting in IIH, and one may wonder whether earlier stenting could have avoided the subsequent development of meningoceles and subsequent neuralgia.
DOI: 10.6084/m9.figshare.28742903
title: Supplementary Material for: Quality of life (QoL) of cancer patients in routine clinical care using the example of checkpoint inhibition therapy - A Delphi Consensus

description: Introduction: The introduction of immune checkpoint inhibitors (CPIs) in oncology has improved the long-term perspectives of many patients and is bringing the quality of life (QoL) into focus as a treatment-relevant variable. In clinical routine, standardized and reliable tools for collecting, understanding, and utilizing QoL information are needed. In the current work, an interdisciplinary consensus on aspects of QoL in standard clinical practice has been put forth.

Methods: After independent, structured individual interviews with members of an interdisciplinary expert panel (n=12), ten theses on QoL with particular consideration regarding CPI therapy were drafted. These formed the basis of a multi-stage, independent, anonymous, externally commented, qualitative Delphi process. During the period 05-12/2022, the panel developed interdisciplinary consensus recommendations for recording QoL and its role in decision-making in everyday care.

Results: Out of ten theses, five recommendations arranged into three subject areas were agreed upon. QoL is considered a multifactorial and dynamic parameter that goes far beyond treatment-associated side effects. Mindful communication with the patient is considered the basis for QoL assessment and QoL modification. In everyday clinical practice, QoL should be documented and assessed in a structured, regular, and individualized way, thereby providing a basis for decisions on treatment options.

Conclusion: The individual QoL of cancer patients should be assessed before and throughout therapy. Especially for long-term responders of CPI therapy and in the adjuvant setting, QoL appears to be treatment relevant. The recommendations based on the Delphi method provide practical assistance.
DOI: 10.7266/0y56trjr
title: Effects of small freshwater inflow volumes on water and sediment quality based on USGS gaged flows from 2015-09-30 to 2016-09-15
DOI: 10.7303/syn51032055.1
title: Integrated single cell and unsupervised spatial transcriptomic analysis defines molecular anatomy of the human dorsolateral prefrontal cortex
DOI: 10.14457/tu.the.2014.490
title: Beam-slab floor optimization using genetic and particle swarm optimization algorithms

description: In this study, genetic and particle swarm optimization algorithms for beam-slab floor optimization are proposed. In order to construct the algorithms, the heuristic beam and beam-column layout design tasks are converted into algorithmic design tasks in two different ways. In the first way, heuristic rules are created for the beam-column layout design task. In the second way, the beam layout design task is merged with detailed designs of slabs and beams in order to obtain one algorithmic beam-slab design task. In the first alternative, two genetic algorithms are created. The first one is used to perform beam layout design by using heuristic rules. The second one is used to perform column layout design by using the result obtained from the first algorithm and also another set of heuristic rules. From the example problems, the results obtained from the two genetic algorithms are found to be satisfactory. The obtained layouts are found to be practical layouts that can be used in real practice. In the second alternative where the beam layout design task is merged with detailed designs of slabs and beams, the scope of this study is limited to those cases where the positions of columns are prescribed. The main objective of the whole beam-slab design task obtained from merging is simply the cost of steel beams. The employed design constraints are taken from the design specifications for flexure and shear in the ANSI/AISC 360-10 specification. Beam sections are selected from TIS 1227-1996. In the cost-based floor optimization, two phases of optimization are used. The first phase is for beam layout design, and the second phase is for beam sizing design. The best beam layout obtained from the first phase is used as an input layout for the second phase. A multi-population genetic algorithm is developed for beam layout design. A multi-population genetic algorithm and a multi-population binary particle swarm optimization algorithm are developed for beam sizing design. From the example problems, the results obtained from the proposed algorithms are found to be satisfactory.
DOI: 10.5281/zenodo.13309711
title: Pyhon code and raw data for our proposed algorithm(GANMA)
title: Pseudo code and data for benchmark functions

description: Description of Source Code and Raw Data

Overview: The provided source code and raw data files are designed for evaluating the performance of a proposed algorithm using 15 widely recognized benchmark functions. These functions are critical for assessing the algorithm's efficiency, robustness, and effectiveness in optimization tasks. The evaluation is conducted across three different dimensions: 10, 20, and 30, providing a comprehensive analysis of the algorithm's capability to handle varying complexities.

Components:

1. Source Code:

The source code is implemented to execute the proposed algorithm on the benchmark functions. It includes modules for initializing populations, applying genetic operations (selection, crossover, mutation), and measuring performance metrics such as fitness value, convergence rate, and computational time.

The code is adaptable for different dimensional settings (10, 20, 30 dimensions) and can be easily modified to adjust parameters such as population size, iteration count, and genetic operators' specifics.

The algorithm is tested against a suite of 15 benchmark functions, each representing a unique challenge in the optimization landscape, including unimodal, multimodal, separable, and non-separable functions.

2. Raw Data:

The raw data consists of the results generated by running the proposed algorithm on each benchmark function across the three dimensional settings (10, 20, and 30 dimensions).

Data includes multiple runs to ensure statistical significance, capturing metrics like the best and average fitness values, standard deviation, and convergence behavior over the iterations.

This data is crucial for performing comparative analysis, highlighting the strengths and weaknesses of the proposed algorithm relative to existing methods.

Benchmark Functions:

· The 15 benchmark functions include a mix of well-known test cases such as Sphere, Rosenbrock, Rastrigin, Ackley, and others. Each function is crafted to test different aspects of optimization algorithms, from dealing with high-dimensional search spaces to escaping local optima.

· The functions are provided in the standard mathematical form, and the source code includes implementation details for each.

Purpose:

· The primary goal of this package is to validate the effectiveness of the proposed algorithm against standard benchmarks in the field. The source code enables reproducibility of results, while the raw data serves as a baseline for further research and comparison with other optimization techniques.

Usage:

· Researchers can use the provided source code to replicate the experiments or adapt the algorithm for other benchmark functions or dimensional settings.

· The raw data can be analyzed using statistical tools to derive insights into the algorithm's performance across different scenarios.
DOI: 10.5281/zenodo.14843563
title: Tracking grid-level freshwater boundary exceedance along global supply chains from consumption to impact

description: Code and data for the paper Tracking grid-level freshwater boundary exceedance along global supply chains from consumption to impact
DOI: 10.5281/zenodo.14963665
title: Data for Provenance and Evolution of Lunar Regolith at the Chang'E-6 Sampling Site

description: This website contains the derived data in the manuscript of Provenance and Evolution of Lunar Regolith at the Chang’E-6 Sampling Site by Mingwei Zhang, Wenzhe Fa, and Bojun Jia, which has been accepted by Naure Astronomy.
DOI: 10.5281/zenodo.14989004
title: Replication data: Local fossil fuel ad ban as a catalyst for global change

description: Replication data and analytical code for "Local fossil fuel ad ban as a catalyst for global change" commentary paper by Thijs Bouman, Jan Willem Bolderdijk, and E. Keith Smith in Nature Climate Change : https://doi.org/10.1038/s41558-025-02267-4.

Also included is a partnering blog post "Fossil Fuel Advertising Bans Are Broadly Support Across Europe" which further explores this data, and is presented on the https://capableclimate.eu/ project website.
DOI: 10.24432/c5tw22
title: MHEALTH
DOI: 10.5281/zenodo.13229007
title: Extended data Integration of democratic values in natural sciences education
DOI: 10.5281/zenodo.14184221
title: The Data for Cloud Removal in Full-disk Solar Images Using Deep Learning

description: Cloud Removal in Full-disk Solar Images Using Deep Learning. For more information, please refer to README.md.

Please note that the data and model parameters zip is not available in github. Please download them in this file.

If you need help, feel free to contact me at szh@kust.edu.cn or dp24163@163.com.
DOI: 10.5281/zenodo.14936551
title: Synthetic district heating meter data

description: Synthetic utility meter data in four different versions

case1: No uncertainty in the data, all insulation levels and consumptions are equal. Constant temperature at the entrance of the main pipe

case4: Noisy data, uncertainties on position of service pipe lengths and positions, fluctuating temperature at entrance of the main pipe

case2-3: in between.

SoilTemp.mat contains the soil temperature from DMI.dk

relevante adresser contains x-location of the service pipes and lenght of service pipe

 
description: The project (22DIT02 FunSNM) has received funding from the European Partnership on Metrology, co-financed from the European Union’s Horizon Europe Research and Innovation Programme and by the Participating States

 

Funder name: European Partnership on Metrology

Funder ID: 10.13039/100019599 

Grant number: 22DIT02 FunSNM
DOI: 10.6084/m9.figshare.28600535
title: Data and code for the paper "Intensifying neighbouring tree competition suppresses tree growth at the eastern Tibetan treeline"

description: This dataset include the main data and the R code for the paper "Intensifying neighbouring tree competition suppresses tree growth at the eastern Tibetan treeline".
DOI: 10.15138/gmz7-2q16
title: Nitrous Oxide (N2O) hemispheric and global monthly means from the NOAA/GML halocarbons program.
DOI: 10.15138/wkgj-f215
title: Earth System Research Laboratory Carbon Cycle and Greenhouse Gases Group Flask-Air Sample Measurements of CO2 at Global and Regional Background Sites, 1967-Present

description: The CCGG cooperative air sampling network effort began in 1967 at Niwot Ridge, Colorado. Today, the network is an international effort which includes regular discrete samples from the NOAA ESRL/GML baseline observatories, cooperative fixed sites, and commercial ships. Air samples are collected approximately weekly from a globally distributed network of sites. Samples are analyzed for Carbon Dioxide (CO2), Methane (CH4), Carbon Monoxide (CO), Hydrogen Gas (H2), Nitrous Oxide (N2O), and Sulfur Hexafluoride (SF6); and by INSTAAR for the stable isotopes of CO2 and CH4 and for many volatile organic compounds (VOC) such as ethane (C2H6), ethylene (C2H4) and propane (C3H8). Measurement data are used to identify long-term trends, seasonal variability, and spatial distribution of carbon cycle gases.
DOI: 10.15783/c7qc7m
title: CRAWDAD dataset roma/taxi (v. 2014-07-17)

description: This dataset contains mobility traces of taxi cabs in Rome, Italy. It contains GPS coordinates of approximately 320 taxis collected over 30 days.
description: Changelog: the initial version
DOI: 10.17632/gwbz3fsgp8.2
title: ECG Images dataset of Cardiac Patients

description: ECG images dataset of Cardiac Patients created under the auspices of Ch. Pervaiz Elahi Institute of Cardiology Multan, Pakistan that aims to help the scientific community for conducting the research for Cardiovascular diseases.
DOI: 10.17909/3ha3-wt08
title: F207M HST image of Mon R2

description: F207M HST image of Mon R2
DOI: 10.17909/9s79-m291
title: Data from GO 1747 and GO 2624

description: Data taken as part of Cycle 1 programs GO 1747 (PI Roberts-Borsani) and GO 2624 (Pis Bagley & Rojas-Ruiz) and presented in Roberts-Borsani et al.
DOI: 10.17909/ew88-jt15
title: Physics at High Angular resolution in Nearby GalaxieS - JWST ("PHANGS-JWST")

description: The PHANGS program is building a panchromatic dataset to enable the multi-phase, multi-scale study of star formation across nearby spiral galaxies.  PHANGS combines Atacama Large Millimeter/submillimeter Array (ALMA) CO(2-1) mapping, Very Large Telescope/Multi Unit Spectroscopic Explorer (VLT/MUSE) optical spectroscopy, Hubble Space Telescope (HST) UV-optical imaging, and James Webb Space Telescope (JWST) infrared imaging among other supporting datasets.   PHANGS is using these data to study the star formation cycle and various phases of the interstellar medium.

Here, the team provides image products from their Cycle 1 Treasury survey for 19 galaxies. The dataset consists of 8 JWST bands from NIRCam and MIRI (F200W, F300M, F335M, F360M, F770W, F1000W, F1130W, F2100W) which trace star light, including deeply embedded clusters, as well as various polycyclic aromatic hydrocarbon (PAH) dust features and the underlying dust continuum.
DOI: 10.17909/xnek-md75
title: Data from Echoes in the Noise

description:     Examining the detailed structure of galaxy populations provides valuable insights into their formation and evolution mechanisms. Significant barriers to such analysis are the non-trivial noise properties of real astronomical images and the point spread function (PSF) which blurs structure. Here we present a framework which combines recent advances in score-based likelihood characterization and diffusion model priors to perform a Bayesian analysis of image deconvolution. The method, when applied to minimally processed HST data, recovers structures which have otherwise only become visible in next-generation JWST imaging.
DOI: 10.18112/openneuro.ds000212.v1.0.0
title: Moral judgments of intentional and accidental moral violations across Harm and Purity domains
DOI: 10.18112/openneuro.ds002748.v1.0.5
title: Resting state with closed eyes for patients with depression and healthy participants