cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5880/fidgeo.2019.016
title: OSARIS Sentinel-1 InSAR processing results for the Ala-Archa Region, Kyrgyzstan, December 2015 to April 2019

description: All data in this archive were processed using the Open Source SAR Investigation System (OSARIS; https://github.com/cryotools/osaris) v. 0.7.2. Processing was conducted on the Cirrus Cluster at the Climate Geography department, Humboldt-Universität zu Berlin. Input data were ESA Sentinel-1 IW SLC files.
description: With the advent of the two Sentinel-1 (S1) satellites, Synthetic Aperture Radar (SAR) data with high temporal and spatial resolution are freely available. This provides a promising framework to facilitate detailed investigations of surface instabilities and movements on large scales with high temporal resolution, but also poses substantial processing challenges because of storage and computation requirements. Here we present OSARIS, the ‘Open Source SAR Investigation System’, as a framework to process large stacks of S1 data on High-Performance Computing (HPC) clusters. Based on GMTSAR, shell scripts, and the workload manager Slurm, OSARIS provides an open and modular framework combining parallelization of high-performance C programs, flexibility of processing schemes, convenient configuration, and generation of geocoded stacks of analysis-ready base data, including amplitude, phase, coherence, and unwrapped interferograms. Time series analyses can be conducted by applying automated modules to the data stacks.
      Here, a demonstration dataset is presented that was generated using OSARIS in a case study from the northwestern Tien Shan, Central Asia. After merging of slices, a total of 80 scene pairs were processed from 174 total S1 input scenes. This archive contains full time series in original resolution of ~31 m for selected OSARIS interferometric processing results, i.e. amplitude, coherence, connected components, interferometric phase, line-of-sight displacement, sums of forward plus reverse pair unwrapped interferograms, and 'Unstable Coherence Metric'. In addition, results from the coherence-based 'Stable Ground Point Identification' module and coherence statistics for time series of selected subregions and landforms discussed in the associated publication are included.
      Wall clock processing time for the case study (area ~9,000 km²) was ~12h:04m on a machine with 400 cores and two TB RAM. In total, ~12d:10h:44m were saved through parallelization. OSARIS thus facilitates efficient S1-based region-wide investigations of surface movement events over multiple years.
DOI: 10.5880/gfz.4.8.2019.003
title: Fiber-optic- and conventional logging data for integrity investigations in Well RN-34, Iceland

description: The data set contains conventional- as well as distributed fiber-optic logging data recorded during the drilling of Well RN-34, located in the Reykjanes geothermal filed, Iceland. Published as well is part of the source code used to produce the data based figures in the SPE Journal paper Raab et al., 2019. For detailed information regarding the measurement geometry, timing of the measurements, and applied processing steps the reader is referred to corresponding publication. The accompanying data description file is explaining the file structure and contents in detail. Licence statement: This data set and part of the source code is available under the Creative Commons Attribution 4.0 International License (CC BY 4.0), excluding the conventional logging data owned by HS Orka. The conventional logging data is contained in the \data\logs directory. As mandated by HS Orka, all data files contained in this directory are released under the Attribution-NonCommercial-NoDerivatives 4.0 International licence (CC BY-NC-ND 4.0). Part of the source code, i.e the old and new segy header structure (Line 1166 to 1314 in the WellFunc.py module), is adopted from the Obspy source code. The Obspy source code is released under the GNU Lesser General Public License (LGPL) v3.0. This code section remains under the LGPL v3.0 Licence. A copy of the LGP Licence is included as a separate text file.
description: AcknowledgementData were acquired within the framework of project IMAGE (Integrated Methods for Advanced Geothermal Exploration), funded by the EC Seventh Framework Programme under grant agreement No. 608553. This study has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreements No. 654497 (GeoWell) 676564 (EPOS IP), and 691728 (DESTRESS). We would like to thank our partners from the GeoWell project for the excellent collaboration, constant support during data acquisition and analysis as well as the fruitful discussions over the past years. We are especially grateful to Árni Ragnarsson, Ingólfur Örn Þorbjornsson and Gunnar Skúlason Kaldal and their colleagues from ÍSOR as well as Guðmundur Ómar Friðleifsson and Ómar Sigurðsson and their colleagues from HS ORKA. We would like to thank Andi Clarke and his colleagues from Silixa Ltd. for their effort during data acquisition and analysis. At GFZ, we would like to thank David Bruhn, Ernst Huenges, Philippe Jousset, Christian Cunow, Jörg Schrötter, and Ronny Giese as well as all colleagues in section 4.8 Geoenergy who contributed to this project in one form or the other.
DOI: 10.6084/m9.figshare.26981474.v1
title: Are operations backed by best practices in American problem-solving courts?

description: Problem-solving courts (PSCs) are specialized courts offering evidence-based interventions for rehabilitating and diverting individuals from carceral institutions. PSCs allow participants to address problems influencing their behavior, such as mental health and/or substance use disorders, while remaining in the community under court supervision. PSCs are designed to serve as linkage sites to support services and research supports PSCs’ efficacy in doing so. Less is known about how PSC operations align with national best practices specified by All Rise (professional association of PSCs) in serving court participants. This study explores whether American PSCs adopt All Rise’s 10 best practice principles based on surveys from a larger study of PSC operations reported by local (<i>n</i> = 849) and state (<i>n</i> = 42) PSC coordinators. Of the All Rise principles captured in our study, only 4% of courts adopted eight EBPs whereas 56% of the courts adopted four to six EBPs. PSCs using EBPs employed diversified staff positions, collaborated with multiple treatment providers, participated in treatment trainings, offered peer navigators, used validated screening tools, used varied treatment modals, and had eligibility criteria for participants to enter PSC programs. PSCs’ operations were generally backed by some of All Rise’s best practices.
DOI: 10.6084/m9.figshare.27237726.v1
title: The effects of emotional expressivity and self-efficacy levels of individuals with substance addiction on treatment compliance

description: The present study was conducted to determine the effects of emotional expressivity and self-efficacy levels of individuals with substance addiction on treatment compliance. A total of 183 patients who were receiving substance addiction treatment were included in this cross-sectional study. The data were collected by using the Personal Information Form, EmotionalExpressivity Scale (EES), Self-Efficacy Scale (SES), and Treatment Compliance Scale (TCS). In the present study, the emotional expressivity total score average of the participants was found to be 26.53 ± 9.03, their self-efficacy/sufficiency total score average was 74.15 ± 14.84, and their treatment compliance total score average was 85.27 ± 17.25. A negative and significant relationship was detected between the TCS total score and the EES total score of the participants, and there was a positive and significant relationship with the SES total score average (<i>p</i> &lt; .05). When the total scores that were received from the scales were evaluated, the participants’ emotional expressivity scores, self-efficacy perceptions, and treatment compliance were at moderate levels. It was concluded that as the level of emotional expressivity decreased, the treatment motivation levels of the individuals increased and the increase in the self-efficacy levels was a factor that boosted individuals’ treatment compliance. Reducing emotional expression increases patients’ compliance with treatment.Patients with high self-efficacy levels also have high treatment compliance.Self-efficacy and treatment compliance levels of patients with substance addiction were found to be at moderate levels. Reducing emotional expression increases patients’ compliance with treatment. Patients with high self-efficacy levels also have high treatment compliance. Self-efficacy and treatment compliance levels of patients with substance addiction were found to be at moderate levels.
DOI: 10.6084/m9.figshare.26867087.v1
title: Investigation of prevalence of substance use disorders using direct and indirect methods and factors affecting initiation of substance use

description: Substance Use Disorders (SUDs) are among some of the major health problems in different societies, especially in Iran, resulting in devastating outcomes. This study was conducted to investigate the prevalence of SUDs using both direct and indirect (network scale-up (NUS) and cross-wise model (CM) methods and to identify the factors affecting initiation of substance use. The study was conducted among people aged 15–69 years in Kermanshah, Iran, with a total of 6127 people selected utilizing a stratified sampling method. The prevalence of SUDs was estimated at 3.85% by direct CM, 11.05% by indirect CM and 10.07% by NUS. The results of multivariate logistic regression revealed that the most important factors in increasing the chance of substance use were history of substance use in the family, mental diseases, poor economic status, and age group of 31–45 years. Regarding the almost three-fold prevalence of indirect methods for estimating the prevalence of SUDs compared to direct methods on the one hand and the high prevalence of substance use in the province on the other, special prevention health programs are required by considering the groups at risk.
DOI: 10.15468/dl.gdmqrd
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Apomotis cyanellus"
 ]
}

 The dataset includes 20 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052618-250827131500795/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.26839792.v1
title: Integrating substance use disorder screening in primary healthcare in Georgia: online survey of providers’ attitudes, knowledge, practice, and perceived barriers

description: The study aimed to explore the attitudes, knowledge, and practices of primary healthcare providers in Georgia regarding screening and management of patients with substance use disorders (SUD). An online survey of primary healthcare providers, descriptive statistics, bivariate analysis, and odds ratio calculations were used. The final sample consisted of 96 providers, vastly females, from 19 primary healthcare clinics in 7 cities. About one in five believed that family doctors need not systematically screen patients for risky or problematic use of any psychoactive substances. Only 1%–4% reported feeling fully ready to identify patients with illicit substance use concerns. Attitudes and practices varied depending on the type of substance being assessed, with the majority of respondents stating that illicit substance use is not a priority area and falls outside of their responsibilities. The most cited barrier for SUD screening was providers’ belief that patients do not truthfully disclose their substance use. Almost a third believed that people who use drugs were criminals. Our study highlights the urgent need for targeted interventions to improve provider knowledge, attitudes, and practices related to SUD screening and management, with a focus on addressing stigma and implementing evidence-based screening protocols in primary healthcare settings.
DOI: 10.6084/m9.figshare.27092468.v1
title: Symbolic self completion as mediator between nicotine dependence and quit intention: a nationally representative survey

description: This study aims to investigate the relationship between nicotine dependence and quit intentions, and the degree to which symbolic completion of the self through smoking mediates this relationship. Symbolic self-completion theory assumes that a person seeks to display symbols in relation to how society would respond. A survey was conducted among a population-based sample of smokers in Turkiye to measure nicotine dependence, intention to quit, and the absence of symbolic self-completion. Mediation analysis was conducted using the Hayes model #4 to investigate the degree to which (symbolic) smoking was linked to dependence and quit intention. Based on regression analyses, nicotine dependence was found to decrease the intention to quit (coeff = −.039**), while an absence of symbolic self-completion was found to increase quit intention (coeff = .6118**). Symbolic self-completion was found to be a significant (partial) mediator between dependence and quit intentions. Although the regression approach is utilized in the analysis, this study still relies on cross-sectional data, so further inquiry is needed to establish casual relationships. Smoking is an activity that is publicly noticeable, thereby serving as a symbol of the self within a socio-cultural context. The symbolic power of smoking should be considered along with physical dependence.
DOI: 10.6084/m9.figshare.27107209.v1
title: Prevalence of anxio-depressive disorders, insomnia and self-esteem in a Moroccan population addicted to cannabis and/or alcohol: a cross-sectional study

description: Addiction to cannabis and alcohol is a global public health concern, linked to significant mental health impairments such as anxiety, depression, insomnia, and low self-esteem. This study, conducted in Marrakech’s addiction treatment centers, aims to assess the prevalence of mental health disorders, insomnia, and self-esteem among individuals seeking treatment for alcohol and/or cannabis addiction. This cross-sectional study was conducted from January 1 2023 to January 1 2024. Depression, anxiety, insomnia, and self-esteem were assessed using the HADS, ISI, and Rosenberg scale. Anxiety prevalence for cannabis, alcohol, and both substances was 57.9%, 55.2%, and 59.2%, respectively. Depression prevalence was 71.7% (cannabis), 73.1% (alcohol), and 75% (both substances). Sub-clinical insomnia (mild) prevalence for the three groups was 65.4%, 71.6%, and 77.6%. Low self-esteem was observed at 59.1%, 64.2%, and 60.5% for cannabis, alcohol, and both substances, respectively. No significant association has been found between the type of product consumed (cannabis, alcohol, cannabis and alcohol) and anxiety, depression, insomnia and self-esteem. These findings highlight prevalent mental health disorders in cannabis and alcohol addiction, underscoring the need for comprehensive, multidisciplinary treatments, including regular mental health screenings, quarterly follow-ups, and family involvement in group therapies at Moroccan addiction centers.
DOI: 10.15468/dl.eqcxaa
title: Occurrence Download

description: A dataset containing 646 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tragus berteronianus",
 "Country is South Africa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 646 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052620-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5ma347
title: Occurrence Download

description: A dataset containing 281 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tricholaena monachne",
 "Country is South Africa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 281 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052621-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xg9jrr
title: Occurrence Download

description: A dataset containing 2976 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Themeda triandra",
 "Country is South Africa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2976 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052619-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q5bxhq
title: Occurrence Download

description: A dataset containing 744875 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Australia)",
 "HasCoordinate is true",
 "Year is greater than or equal to 1977",
 "Year is less than or equal to 1977"
 ]
}

 The dataset includes 744875 records from 319 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052580-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17097389
title: Database of existing policies in the AU countries of RE-INTEGRATE

description: A database created and curated by Université Catholique de Bukavu, with contributions from the AU partners in RE-INTEGRATE. It covers energy targets and climate targets in Ethiopia, Zambia, South Africa, Tunisia, Mauritius, Democratic Republic of the Congo, Kenya and Senegal, with deep dive into Zambia and Ethiopia. It also covers sub-national policies.
DOI: 10.5281/zenodo.17097390
title: Database of existing policies in the AU countries of RE-INTEGRATE

description: A database created and curated by Université Catholique de Bukavu, with contributions from the AU partners in RE-INTEGRATE. It covers energy targets and climate targets in Ethiopia, Zambia, South Africa, Tunisia, Mauritius, Democratic Republic of the Congo, Kenya and Senegal, with deep dive into Zambia and Ethiopia. It also covers sub-national policies.
DOI: 10.6084/m9.figshare.28950785
title: ENERGY DEFICIENCY SELECTS CROWDED LIVE EPITHELIAL CELLS FOR EXTRUSION

description: We find that reduced energy is the key predictor of which crowded epithelial cell will extrude. This is important as epithelial cell extrusion drives most cell death.
DOI: 10.6084/m9.figshare.28950785.v1
title: ENERGY DEFICIENCY SELECTS CROWDED LIVE EPITHELIAL CELLS FOR EXTRUSION

description: We find that reduced energy is the key predictor of which crowded epithelial cell will extrude. This is important as epithelial cell extrusion drives most cell death.
DOI: 10.15468/dl.t7cgj3
title: Occurrence Download

description: A dataset containing 8619 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Jatropha curcas",
 "HasCoordinate is true"
 ]
}

 The dataset includes 8619 records from 319 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052623-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9b7hjb
title: Occurrence Download

description: A dataset containing 95 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Datura wrightii",
 "Country is Australia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 95 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052624-250827131500795/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.28281509
title: Subvolt high-speed free-space modulator with electro-optic metasurface

description: This file contains the numerical data used to generate all plots in the paper titled "Subvolt high-speed free-space modulator with electro-optic metasurface."
DOI: 10.6084/m9.figshare.28281509.v1
title: Subvolt high-speed free-space modulator with electro-optic metasurface

description: This file contains the numerical data used to generate all plots in the paper titled "Subvolt high-speed free-space modulator with electro-optic metasurface."
DOI: 10.6084/m9.figshare.28792301
title: Long-term nitrogen and phosphorus fertilisation boost soil carbon sequestration: insights from 180-year study

description: This table shows the mean vlaue and standard deviation of soil physicochemical properties and 14C labelling experiment index of soil collected from Rothmasted Research
DOI: 10.6084/m9.figshare.28792301.v1
title: Long-term nitrogen and phosphorus fertilisation boost soil carbon sequestration: insights from 180-year study

description: This table shows the mean vlaue and standard deviation of soil physicochemical properties and 14C labelling experiment index of soil collected from Rothmasted Research
DOI: 10.15468/dl.v7hk4d
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Datura wrightii",
 "Country is Austria",
 "HasCoordinate is true"
 ]
}

 The dataset includes 13 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052625-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c5ndsn
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Datura wrightii",
 "Country is Canada",
 "HasCoordinate is true"
 ]
}

 The dataset includes 32 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052626-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17097446
title: ARE-Konsultationsinzidenz

description: Im Datensatz "ARE-Konsultationsinzidenz" des Robert Koch-Instituts werden wöchentliche Inzidenzen von ambulanten Konsultationen mit akuter respiratorischer Erkrankung (ARE) in Deutschland bereitgestellt. Die Daten stammen vom ARE-Praxis-Sentinel des RKI. Hier werden aus Sentinelpraxen Daten von gesetzlich versicherten Patientinnen und Patienten mit einer akuten Atemwegserkrankung entweder einzelfallbasiert anhand von ICD-10-Diagnosecodes mit dem SEED/ARE-Modul oder aggregiert nach Altersgruppen über eine Online-Eingabemaske erfasst. Die ARE-Konsultationsinzidenz wird pro 100.000 Einwohner und nach Altersgruppen und Bundesländern ausgewiesen. Ziel ist es, die Krankheitslast und den saisonalen Verlauf von Atemwegserkrankungen wie Influenza, COVID-19 und RSV-Erkrankungen zu bewerten sowie epidemiologische Entwicklungen frühzeitig zu erkennen
DOI: 10.15468/dl.cr4j72
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bryttus mineopas"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052628-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.