cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.25441669
title: Fingerprinting dissolved organic compounds: A potential tool for identifying the surface infiltration environments of meteoric groundwaters

description: Data Set S1. Peak alignment table generated using statistical compare function of ChromaTOF of aligned compounds present in 80% of samples. Values shown are the relative abundance of compounds in each individual sample. Compound identifications were tentative using matches to the NIST Library (Linstrom and Mallard 2018), all matches have a score greater than 70%, matches less than 70% are given as Unknowns.
DOI: 10.6084/m9.figshare.25441669.v1
title: Fingerprinting dissolved organic compounds: A potential tool for identifying the surface infiltration environments of meteoric groundwaters

description: Data Set S1. Peak alignment table generated using statistical compare function of ChromaTOF of aligned compounds present in 80% of samples. Values shown are the relative abundance of compounds in each individual sample. Compound identifications were tentative using matches to the NIST Library (Linstrom and Mallard 2018), all matches have a score greater than 70%, matches less than 70% are given as Unknowns.
DOI: 10.6084/m9.figshare.25441690
title: Figure S1 from Functionally mediated cranial allometry evidenced in a genus of rock-wallabies

description: Intraspecific allometry tests and shape predictions
DOI: 10.6084/m9.figshare.25441690.v1
title: Figure S1 from Functionally mediated cranial allometry evidenced in a genus of rock-wallabies

description: Intraspecific allometry tests and shape predictions
DOI: 10.5281/zenodo.7126680
title: Data for "Stratospheric Downward Wave Reflection Events Modulate North American Weather Regimes and Cold Spells"

description: Wave reflection index and regimes time series for DJFM 1979/80 - 2020/21 as used in Messori et al. (2022) "Stratospheric Downward Wave Reflection Events Modulate North American Weather Regimes and Cold Spells", <em>Weather and Climate Dynamics</em>.
DOI: 10.5281/zenodo.7521838
title: Much Ado About Gender (CHIIR 2023) Codebook and Data

description: The codebook and data spreadsheet accompanying our paper "Much Ado About Gender: Current Practices and Future Recommendations for Appropriate Gender-Aware Information Access", published in CHIIR 2023.
DOI: 10.6084/m9.figshare.25143857
title: Supplementary Material for: Weight stigma in Latin America, Asia, Middle East, and Africa: A scoping review

description: Background: Being stigmatized because of one’s weight can pose physical, mental, and social challenges. While weight stigma and its consequences are established throughout Europe, North America, and Australasia, less is known about weight stigma in other regions. Summary: The objective of this study was to identify the extent and focus of weight stigma research in Latin America, Asia, the Middle East, and Africa. A scoping review of weight stigma research in Latin America, Asia, the Middle East, and Africa was conducted. Results indicate that weight stigma has been investigated across populations and settings, mainly focusing on manifestations of weight stigma through experiences and practices and the drivers, and personal outcomes of these manifestations. Key Messages: Weight stigma is a developing global health concern not restricted to Europe, North America, and Australasia. The extent and focus of weight stigma research in Latin America, Asia, the Middle East, and Africa vary between countries and regions leaving several research gaps that require further investigation.
DOI: 10.6084/m9.figshare.25195718
title: Supplementary Material for: The relation between vascular risk factors and flow in cerebral perforating arteries. A 7 Tesla MRI study.

description: Introduction: Cerebral perforating arteries provide blood supply to the deep regions of the brain. Recently, it became possible to measure blood flow velocity and pulsatility in these small arteries. It is unknown if vascular risk factors are related to these measures. Methods: We measured perforating artery flow with 2D phase contrast 7 Tesla MRI at the level of the centrum semiovale (CSO) and the basal ganglia (BG) in seventy participants from the Heart Brain Connection study with carotid occlusive disease (COD), vascular cognitive impairment (VCI), or no actual cerebrovascular disease. Vascular risk factors included hypertension, diabetes, hyperlipidemia and smoking. 
Results: No consistent relations were found between any of the vascular risk factors and either flow velocity or flow pulsatility, although there was a relation between lower diastolic blood pressure and higher pulse pressure and higher cerebral perforator pulsatility (p=0,045 and p=0,044, respectively) at the BG level. Results were similar in stratified analyses for patients with and without a history of cardiovascular disease, or only COD or VCI. 
Conclusion: We conclude that, cross-sectionally, cerebral perforating artery flow velocity and pulsatility are largely independent of the presence of common vascular risk factors in a population with a mixed vascular burden.
DOI: 10.6084/m9.figshare.24288412.v1
title: Dataset

description: Correlates of ART Attrition among Adults Under Antiretroviral Therapy
DOI: 10.6084/m9.figshare.25134038
title: Supplementary Material for: Sunitinib for metastatic renal cell carcinoma: Real world data from the STAR-TOR registry and detailed literature review

description: Introduction: We evaluated the effectiveness and safety profile of the tyrosine kinase inhibitor Sunitinib in patients with advanced or metastatic renal cell carcinoma (a/mRCC) in a real-world setting. 
Methods: We analyzed data of adult a/mRCC patients treated with Sunitinib. Data was derived from the German non-interventional post-approval multicenter STAR-TOR registry (NCT00700258). Progression-free survival (PFS), overall survival (OS), and adverse events (AEs) were evaluated using descriptive statistics and survival analyses for the entire cohort and patient subgroups.
Results: A total of 116 study sites recruited 702 patients treated with Sunitinib (73.1% male; median age 68.0 years; median Karnofsky Index 90%) between November 2010 and May 2020. The most frequent histological subtype was clear cell RCC (ccRCC) (81.6%). Sunitinib was administered as first-line treatment in 83.5%, as second line in 11.7%, and as third line or beyond in 4.8% of the patients. Drug related AEs and serious AEs were reported in 66.3% and 13.9% of the patients, respectively (most common AE: gastrointestinal disorders; 39.7% of all patients). 
Conclusions: This study adds further real-world evidence of the persisting relevance of Sunitinib for patients with a/mRCC who cannot receive or tolerate immune checkpoint inhibitors. The study population includes a high proportion of patients with unfavorable MSKCC poor-risk score, but shows still good PFS and OS results, while the drug demonstrates a favorable safety profile.
DOI: 10.57745/eq7tvb
title: data.mat

description: :unav
DOI: 10.57745/ftohzk
title: video.mkv

description: :unav
DOI: 10.57745/h56jyg
title: figure.m

description: :unav
DOI: 10.57745/wmmbsv
title: images.zip

description: :unav
DOI: 10.48612/msupe/2355-25ah-t9m4
title: Опросник «Сильные стороны и трудности» (ССТ) Р. Гудмана (база для апробации)

description: Представлены данные подростков 10-17 лет из разных регионов РФ (N=1374) по методикам: Многомерная шкала удовлетворенности жизнью (ШУДЖИ); Фрайбургский многофакторный опросник FPI; «Сильные стороны и трудности» Р. Гудмана в интерпретации Е.Р. Слободской и др.
DOI: 10.21227/62gr-xy20
title: LTE mobile phone PRACH signal

description: This dataset contains LTE access signals (PRACH) emitted by 7 mobile phones and 1 USRP B205 software defined radio platform equipment. Files are stored in MAT form that can be read by MATLAB. The dataset of the mobile phone includes data from 3 different locations (\dif_loc), 3 different test times (\dif_date), and 3 different power-on times (\dif_working). The software defined radio platform equipment dataset consists of 3 datasets at different locations and 3 different test times. The dataset was completed for the paper Hybrid RFF Identification for LTE Using Wavelet Coefficient Graph and Differential Spectrum.
DOI: 10.5281/zenodo.10839030
title: Repository: Rayleigh-wave attenuation and phase velocity maps of the greater Alpine region from ambient noise

description: Repository organized by Henrique Berger Roisenberg for the paper Roisenberg et al. (2024). The files are organized as follows:

Folders:

-dispersion_curves:inside this folder there is a .zip file that contains all the dispersion curves calculated;

-attenuation:comprising three files with the results of attenuation calculations, i.e., the attenuation values, the grid, and the periods;

-c:comprising three files with the results of phase velocity calculations, i.e., the phase velocity values, the grid, and the periods;

-scripts: contains two python scripts, one called 'figures' to plot the figure 1, 4, and 6 of the paper, and another called 'alparray_computations' to perform the computations with the original alparray data, using seislib, resulting on the figures 2, 3, and 5 of the paper.

Inside the folder 'inputs' there are three folders that serve as input for the figures of the paper, to be used in the scripts. These are:

-raster: contains the topography raster used to plot the map of the study area;

-shapefiles:contains the shapefiles used in the regionalization analysis;

-station locations: contains the latitudes and longitudes of the stations used in this study.
DOI: 10.5281/zenodo.10839031
title: Repository: Rayleigh-wave attenuation and phase velocity maps of the greater Alpine region from ambient noise

description: Repository organized by Henrique Berger Roisenberg for the paper Roisenberg et al. (2024). The files are organized as follows:

Folders:

-dispersion_curves:inside this folder there is a .zip file that contains all the dispersion curves calculated;

-attenuation:comprising three files with the results of attenuation calculations, i.e., the attenuation values, the grid, and the periods;

-c:comprising three files with the results of phase velocity calculations, i.e., the phase velocity values, the grid, and the periods;

-scripts: contains two python scripts, one called 'figures' to plot the figure 1, 4, and 6 of the paper, and another called 'alparray_computations' to perform the computations with the original alparray data, using seislib, resulting on the figures 2, 3, and 5 of the paper.

Inside the folder 'inputs' there are three folders that serve as input for the figures of the paper, to be used in the scripts. These are:

-raster: contains the topography raster used to plot the map of the study area;

-shapefiles:contains the shapefiles used in the regionalization analysis;

-station locations: contains the latitudes and longitudes of the stations used in this study.
DOI: 10.5281/zenodo.10421762
title: Countries' Agri-Environmental Policies Database

description: A new database of 6124 policies at the intersection of agriculture and the environment. Implemented between 1960 and 2022 in over 200 countries. Comprises a wide range of types of policies (e.g., ranging from legislative changes to payments for ecosystem services), as well as a wide range of goals (e.g., from pesticide regulations to forest conservation). It allows to e.g. count such policies per country, filter to select specific policies, and to create policy indices, e.g. weighting countries' policies with contextual factors that enhance to hinder policy performance (e.g. policy budgets, enforcement, stringency, corruption).

The main database comes in the formats CSV, EXCEL, and DTA, country averages are provided in CSV and DTA.
DOI: 10.5281/zenodo.10421761
title: Countries' Agri-Environmental Policies Database

description: A new database of 6124 policies at the intersection of agriculture and the environment. Implemented between 1960 and 2022 in over 200 countries. Comprises a wide range of types of policies (e.g., ranging from legislative changes to payments for ecosystem services), as well as a wide range of goals (e.g., from pesticide regulations to forest conservation). It allows to e.g. count such policies per country, filter to select specific policies, and to create policy indices, e.g. weighting countries' policies with contextual factors that enhance to hinder policy performance (e.g. policy budgets, enforcement, stringency, corruption).

The main database comes in the formats CSV, EXCEL, and DTA, country averages are provided in CSV and DTA, the dataset for the soil erosion policy analysis is provided in DTA and the code for the analysis is a DO-file.
DOI: 10.5281/zenodo.10422463
title: Countries' Agri-Environmental Policies Database

description: A new database of 6124 policies at the intersection of agriculture and the environment. Implemented between 1960 and 2022 in over 200 countries. Comprises a wide range of types of policies (e.g., ranging from legislative changes to payments for ecosystem services), as well as a wide range of goals (e.g., from pesticide regulations to forest conservation). It allows to e.g. count such policies per country, filter to select specific policies, and to create policy indices, e.g. weighting countries' policies with contextual factors that enhance to hinder policy performance (e.g. policy budgets, enforcement, stringency, corruption).

The main database comes in the formats CSV, EXCEL, and DTA, country averages are provided in CSV and DTA, the dataset for the soil erosion policy analysis is provided in DTA and the code for the analysis is a DO-file.
DOI: 10.5281/zenodo.10842614
title: Countries' Agri-Environmental Policies Database

description: A new database of 6124 policies at the intersection of agriculture and the environment. Implemented between 1960 and 2022 in over 200 countries. Comprises a wide range of types of policies (e.g., ranging from legislative changes to payments for ecosystem services), as well as a wide range of goals (e.g., from pesticide regulations to forest conservation). It allows to e.g. count such policies per country, filter to select specific policies, and to create policy indices, e.g. weighting countries' policies with contextual factors that enhance to hinder policy performance (e.g. policy budgets, enforcement, stringency, corruption).

The main database comes in the formats CSV, EXCEL, and DTA, country averages are provided in CSV and DTA, the dataset for the soil erosion policy analysis is provided in DTA and the code for the analysis is a DO-file.
DOI: 10.60871/ingpan/ukichw
title: Potential fields analysis data from Western Carpathians

description: Transformations, derivatives and filters of gravity and magnetic datasets. Maps, grids, two-dimensional forward models from qualitative and quantitative analysis.
DOI: 10.18419/darus-2790/313
title: vp_B2_3d3vadd.dat

description: :unav
DOI: 10.18419/darus-2790/314
title: vp_B2_3d3vadd.dat

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DOI: 10.18419/darus-2790/315
title: vp_B2_3d3v.h5

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title: param.nml

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DOI: 10.18419/darus-2790/317
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DOI: 10.18419/darus-2790/318
title: vp_B2_3d3v.h5

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DOI: 10.18419/darus-2790/319
title: vp_B2_3d3vadd.dat

description: :unav
DOI: 10.18419/darus-2790/320
title: plot.dat_selalib_sg_1100_0.txt

description: :unav
DOI: 10.18419/darus-2790/321
title: vp_B2_3d3vadd.dat

description: :unav
DOI: 10.18419/darus-2790/322
title: plot.dat_selalib_sg_11300_0.txt

description: :unav
DOI: 10.18419/darus-2790/323
title: vp_B2_3d3v.dat

description: :unav
DOI: 10.18419/darus-2790/324
title: param.nml

description: :unav
DOI: 10.18419/darus-2790/325
title: vp_B2_3d3v.dat

description: :unav
DOI: 10.18419/darus-2790/326
title: vp_B2_3d3vadd.dat

description: :unav
DOI: 10.18419/darus-2790/327
title: plot.dat_selalib_sg_5100_0.txt

description: :unav
DOI: 10.18419/darus-2790/328
title: vp_B2_3d3v.h5

description: :unav
DOI: 10.18419/darus-2790/329
title: vp_B2_3d3v.h5

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DOI: 10.18419/darus-2790/330
title: plot.dat_selalib_sg_7100_0.txt

description: :unav
DOI: 10.18419/darus-2790/331
title: param.nml

description: :unav
DOI: 10.18419/darus-2790/332
title: plot.dat_selalib_sg_14600_0.txt

description: :unav
DOI: 10.18419/darus-2790/333
title: vp_B2_3d3v.dat

description: :unav
DOI: 10.18419/darus-2790/334
title: vp_B2_3d3v.dat

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DOI: 10.18419/darus-2790/335
title: param.nml

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DOI: 10.18419/darus-2790/336
title: vp_B2_3d3v.dat

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DOI: 10.18419/darus-2790/337
title: vp_B2_3d3v.dat

description: :unav
DOI: 10.18419/darus-2790/338
title: plot.dat_selalib_sg_10900_0.txt

description: :unav
DOI: 10.18419/darus-2790/339
title: param.nml

description: :unav
DOI: 10.18419/darus-2790/340
title: plot.dat_selalib_sg_5700_0.txt

description: :unav
DOI: 10.18419/darus-2790/341
title: vp_B2_3d3vadd.dat

description: :unav
DOI: 10.18419/darus-2790/342
title: param.nml

description: :unav
DOI: 10.18419/darus-2790/343
title: plot.dat_selalib_sg_15300_0.txt

description: :unav
DOI: 10.18419/darus-2790/344
title: vp_B2_3d3v.h5

description: :unav
DOI: 10.18419/darus-2790/345
title: vp_B2_3d3vadd.dat

description: :unav
DOI: 10.18419/darus-2790/346
title: vp_B2_3d3v.dat

description: :unav
DOI: 10.18419/darus-2790/347
title: vp_B2_3d3v.dat

description: :unav
DOI: 10.18419/darus-2790/348
title: vp_B2_3d3v.dat

description: :unav
DOI: 10.18419/darus-2790/349
title: vp_B2_3d3v.dat

description: :unav
DOI: 10.18419/darus-2790/350
title: vp_B2_3d3v.h5

description: :unav
DOI: 10.18419/darus-2790/351
title: vp_B2_3d3v.h5

description: :unav
DOI: 10.18419/darus-2790/352
title: plot.dat_selalib_sg_16600_0.txt

description: :unav
DOI: 10.18419/darus-2790/353
title: vp_B2_3d3v.h5

description: :unav
DOI: 10.18419/darus-2790/354
title: param.nml

description: :unav
DOI: 10.18419/darus-2790/355
title: vp_B2_3d3vadd.dat

description: :unav
DOI: 10.18419/darus-2790/356
title: vp_B2_3d3v.h5

description: :unav
DOI: 10.18419/darus-2790/357
title: vp_B2_3d3v.dat

description: :unav
DOI: 10.18419/darus-2790/358
title: plot.dat_selalib_sg_2800_0.txt

description: :unav
DOI: 10.18419/darus-2790/359
title: plot.dat_selalib_sg_11600_0.txt

description: :unav
DOI: 10.18419/darus-2790/360
title: plot.dat_selalib_sg_11000_0.txt

description: :unav
DOI: 10.18419/darus-2790/361
title: vp_B2_3d3v.h5

description: :unav
DOI: 10.18419/darus-2790/362
title: param.nml

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DOI: 10.18419/darus-2790/363
title: param.nml

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DOI: 10.18419/darus-2790/364
title: vp_B2_3d3vadd.dat

description: :unav
DOI: 10.18419/darus-2790/365
title: vp_B2_3d3v.dat

description: :unav
DOI: 10.18419/darus-2790/366
title: vp_B2_3d3v.dat

description: :unav
DOI: 10.18419/darus-2790/367
title: plot.dat_selalib_sg_5000_0.txt

description: :unav
DOI: 10.18419/darus-2790/368
title: plot.dat_selalib_sg_8900_0.txt

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DOI: 10.18419/darus-2790/369
title: plot.dat_selalib_sg_16300_0.txt

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DOI: 10.18419/darus-2790/370
title: plot.dat_selalib_sg_3600_0.txt

description: :unav
DOI: 10.18419/darus-2790/371
title: param.nml

description: :unav
DOI: 10.18419/darus-2790/372
title: plot.dat_selalib_sg_7400_0.txt

description: :unav
DOI: 10.18419/darus-2790/373
title: vp_B2_3d3v.h5

description: :unav
DOI: 10.18419/darus-2790/374
title: vp_B2_3d3v.dat

description: :unav
DOI: 10.18419/darus-2790/375
title: vp_B2_3d3v.dat

description: :unav
DOI: 10.18419/darus-2790/376
title: vp_B2_3d3v.dat

description: :unav
DOI: 10.18419/darus-2790/377
title: plot.dat_selalib_sg_4500_0.txt

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DOI: 10.18419/darus-2790/378
title: plot.dat_selalib_sg_1700_0.txt

description: :unav
DOI: 10.18419/darus-2790/379
title: vp_B2_3d3v.dat

description: :unav
DOI: 10.18419/darus-2790/380
title: param.nml

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DOI: 10.18419/darus-2790/381
title: vp_B2_3d3v.dat

description: :unav
DOI: 10.18419/darus-2790/382
title: vp_B2_3d3v.h5

description: :unav
DOI: 10.18419/darus-2790/383
title: plot.dat_selalib_sg_14000_0.txt

description: :unav
DOI: 10.18419/darus-2790/384
title: vp_B2_3d3v.dat

description: :unav
DOI: 10.18419/darus-2790/385
title: plot.dat_selalib_sg_18500_0.txt

description: :unav
DOI: 10.18419/darus-2790/386
title: param.nml

description: :unav
DOI: 10.18419/darus-2790/387
title: plot.dat_selalib_sg_5900_0.txt

description: :unav
DOI: 10.18419/darus-2790/388
title: vp_B2_3d3v.h5

description: :unav
DOI: 10.18419/darus-2790/389
title: vp_B2_3d3v.dat

description: :unav
DOI: 10.18419/darus-2790/390
title: plot.dat_selalib_sg_5300_0.txt

description: :unav
DOI: 10.18419/darus-2790/391
title: plot.dat_selalib_sg_10100_0.txt

description: :unav
DOI: 10.18419/darus-2790/392
title: param.nml

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title: param.nml

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DOI: 10.18419/darus-2790/395
title: vp_B2_3d3vadd.dat

description: :unav
DOI: 10.18419/darus-2790/396
title: plot.dat_selalib_sg_12500_0.txt

description: :unav
DOI: 10.18419/darus-2790/397
title: param.nml

description: :unav
DOI: 10.18419/darus-2790/398
title: plot.dat_selalib_sg_7200_0.txt

description: :unav
DOI: 10.18419/darus-2790/399
title: plot.dat_selalib_sg_12100_0.txt

description: :unav
DOI: 10.18419/darus-2790/400
title: param.nml

description: :unav
DOI: 10.18419/darus-2790/401
title: vp_B2_3d3v.h5

description: :unav
DOI: 10.18419/darus-2790/402
title: vp_B2_3d3v.dat

description: :unav
DOI: 10.18419/darus-2790/403
title: plot.dat_selalib_sg_10500_0.txt

description: :unav
DOI: 10.18419/darus-2790/404
title: vp_B2_3d3v.h5

description: :unav
DOI: 10.18419/darus-2790/405
title: vp_B2_3d3vadd.dat

description: :unav
DOI: 10.18419/darus-2790/406
title: vp_B2_3d3v.dat

description: :unav
DOI: 10.18419/darus-2790/407
title: plot.dat_selalib_sg_3200_0.txt

description: :unav
DOI: 10.18419/darus-2790/408
title: plot.dat_selalib_sg_16700_0.txt

description: :unav
DOI: 10.18419/darus-2790/409
title: vp_B2_3d3v.dat

description: :unav
DOI: 10.18419/darus-2790/410
title: plot.dat_selalib_sg_12900_0.txt

description: :unav
DOI: 10.18419/darus-2790/411
title: plot.dat_selalib_sg_700_0.txt

description: :unav
DOI: 10.18419/darus-2790/412
title: plot.dat_selalib_sg_19000_0.txt

description: :unav
DOI: 10.18419/darus-2790/413
title: vp_B2_3d3v.dat

description: :unav
DOI: 10.18419/darus-2790/414
title: plot.dat_selalib_sg_4600_0.txt

description: :unav
DOI: 10.18419/darus-2790/415
title: param.nml

description: :unav
DOI: 10.18419/darus-2790/416
title: plot.dat_selalib_sg_4300_0.txt

description: :unav
DOI: 10.18419/darus-2790/417
title: param.nml

description: :unav
DOI: 10.18419/darus-2790/418
title: vp_B2_3d3vadd.dat

description: :unav
DOI: 10.18419/darus-2790/419
title: vp_B2_3d3vadd.dat

description: :unav
DOI: 10.18419/darus-2790/420
title: vp_B2_3d3v.h5

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DOI: 10.18419/darus-2790/421
title: param.nml

description: :unav
DOI: 10.6084/m9.figshare.25303665
title: FileS2. from Mechanical and elemental characterization of ant mandibles: consequences for bite mechanics

description: Finite element mesh used in the simulations of the present manuscript.
DOI: 10.18419/darus-2790/422
title: vp_B2_3d3vadd.dat

description: :unav
DOI: 10.6084/m9.figshare.25303665.v1
title: FileS2. from Mechanical and elemental characterization of ant mandibles: consequences for bite mechanics

description: Finite element mesh used in the simulations of the present manuscript.
DOI: 10.18419/darus-2790/423
title: vp_B2_3d3vadd.dat

description: :unav
DOI: 10.6084/m9.figshare.25303715
title: FileS4. from Mechanical and elemental characterization of ant mandibles: consequences for bite mechanics

description: Text files containing element volume and stress values for each simulation, used to perform the intervals method (Fig.6) and test the differences in mean stress value between mandibular regions (Fig.S2 - Fig.S5).