cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/47ydz8v6nd.6
title: Dataset of a composite drought index based on remote sensing data for Niger

description: The present dataset was created for agricultural drought characterization in the Sahelian climate zone of Niger. The dataset comprises the seasonal time series of a composite drought index (CDI) and the corresponding drought classes at a spatial resolution of 1 km2 for the period 2000-2020. The CDI was computed from remotely sensed data, namely precipitation of the CHIRPS (Climate Hazards Group InfraRed Precipitation with Stations), normalized difference vegetation index (NDVI) and land surface temperature (LST) data from MODIS (Moderate Resolution Imaging Spectroradiometer).

The files in the present dataset are:
- A netcdf file containing drought intensities and drought classes
- A netcdf of the accumulated seasonal CHIRPS rainfall data
- A netcdf file of the mean seasonal NDVI data
- A netcdf file of the mean day time LST data
- A shapefile of the map of Niger
- A jpeg file describing the study area
- Three png file of the figure used in the data in brief article
DOI: 10.17632/ggjxnx26dk.1
title: ASRI-95014

description: In this article, we wanted to show that if management decision-making methods are used based on the available information on the parameters related to the production status and animal health, it is possible to make the best choice in cases where there is a slight difference between nutritional treatments. We uploaded Sas analysis data here.
DOI: 10.17632/ggjxnx26dk.2
title: ASRI-95014

description: In this article, we wanted to show that if management decision-making methods are used based on the available information on the parameters related to the production status and animal health, it is possible to make the best choice in cases where there is a slight difference between nutritional treatments.
DOI: 10.17632/rfyhc4xzn3.1
title: An Eccentric-structured Hybrid Triboelectric-Electromagnetic Nanogenerator for Low-frequency Mechanical Energy Harvesting

description: There is a compressed package containing four EXCEL files. Each EXCEL file contains the experimental data of corresponding pictures in the article.
DOI: 10.17632/fd2sr9mdyh.1
title: Vol. 15(4), 2023

description: To visit webpage containing full articles (in Persian), please visit: https://escs.birjand.ac.ir/issue_294_331.html?lang=en
DOI: 10.17632/w9jtszpmst.2
title: Associated data on the physicochemical properties of pedosediments, climatic and dendrochronological indicators for palaeogeographic reconstructions

description: Determination of the gross composition of soils in general and particles <1 mm, the values of geochemical ratios and coefficients, as well as their distribution along the profile of pedosediments, a system of most information-rich pedogenetic indicators for palaeogeographic reconstruction. Data on the annual amount of precipitation and tree-ring growth of the oak-tree that were used for climate reconstruction are presented.
DOI: 10.17632/cvkdzr8tv3.2
title: Global Innovation Index: panel data (2011-2022)

description: The aim of this work is to provide a panel data file with all pillars of the Global Innovation Index from 2011 until 2022.
DOI: 10.17632/cvkdzr8tv3.3
title: Global Innovation Index: panel data (2011-2022)

description: The aim of this work is to provide a panel data file with all pillars of the Global Innovation Index from 2011 until 2022, covering all available economies (149 in total) by income level.
DOI: 10.17632/cvkdzr8tv3.1
title: Global Innovation Index: panel data (2011-2022)

description: The aim of this work is to provide a panel data file with all pillars of the Global Innovation Index from 2011 until 2022.
DOI: 10.17632/ym5h3prdmp.1
title: lumbar disc herniation

description: The files are supplementary data for outcomes of in-patient physiotherapy setup among patients with Lumbar Disc Herniation
DOI: 10.17632/g87g823bcn.1
title: Data for research paper "Do Remittances Mitigate the Impact of Climate Change on Migration? Evidence from Mexico"

description: This is the dataset used in the research paper "Do Remittances Mitigate the Impact of Climate Change on Migration? Evidence from Mexico". Based on the EMIF survey of Mexico-U.S. migration, this dataset includes information on outmigration from the 32 Mexican federal states to the U.S for the period 2003-2017. In addition, the dataset contains information on climatic variables taken from the CRU climate dataset of the University of East Anglia and the EM-DAT natural disasters database. Finally, the dataset contains state-level information on a number of economic control variables including GDP per capita, the unemployment rate as well as the homicide rate per 100,000 inhabitants.

In the paper, we conduct dynamic system-GMM estimations in order to address the potential endogeneity of remittances. Our findings suggest that remittances mitigate the impact of natural disasters on migration. However, we observe negative effects of climatic anomalies on migration, which are not moderated by remittances. Thus, it appears that remittances serve as an informal insurance strategy but may not facilitate long-term adaptation to climate change.
DOI: 10.17632/g87g823bcn.2
title: Data for: Do Remittances Mitigate the Impact of Climate Change on Migration? Evidence from Mexico

description: This is the dataset used in the research paper "Do Remittances Mitigate the Impact of Climate Change on Migration? Evidence from Mexico". Based on the EMIF survey of Mexico-U.S. migration, this dataset includes information on outmigration from the 32 Mexican federal states to the U.S for the period 2003-2017. In addition, the dataset contains information on climatic variables taken from the CRU climate dataset of the University of East Anglia and the EM-DAT natural disasters database. Finally, the dataset contains state-level information on a number of economic control variables including GDP per capita, the unemployment rate as well as the homicide rate per 100,000 inhabitants.

In the paper, we conduct dynamic system-GMM estimations in order to address the potential endogeneity of remittances. Our findings suggest that remittances mitigate the impact of natural disasters on migration. However, we observe negative effects of climatic anomalies on migration, which are not moderated by remittances. Thus, it appears that remittances serve as an informal insurance strategy but may not facilitate long-term adaptation to climate change.
DOI: 10.17632/7f5mmwxcpm.2
title: Data for: A Real-Options Analysis of Climate Change and International Migration

description: The potential impact of climate change on international migration patterns has recently received considerable attention, yet much of the empirical literature fails to find increases in international migration due to climate change. This paper attempts to resolve this ``immobility paradox'' by applying a real-options framework to the relationship between climate change and international migration. This framework suggests that individuals may postpone their migration response to climate change in the face of uncertainty and only migrate once impacts of climate change have exceeded certain thresholds. We test this prediction using semiparametric regression methods which allow us to empirically identify the threshold effects implied by the real-options framework. However, the findings are generally inconsistent with such threshold effects. Rather, the results suggest that in low-income countries, individuals' migration response is hampered by the existence of liquidity constraints. These are likely to become more binding due to climate change-induced decreases in agricultural productivity.

Drawing on the migration flow database compiled by Abel and Sander (2014), this dataset contains information on bilateral rates of migration from 138 non-OECD countries for the period 1990 to 2010. In addition, information on temperature and precipitation anomalies based on version 4.05 of the gridded climate dataset created by the Climatic Research Unit of the University of East Anglia is included (Harris et al. 2020). Finally, the dataset includes data on origin countries' GDP per capita as well as agricultural value added as a share of GDP, which were obtained from the World Development Indicators (World Bank 2021).
DOI: 10.17632/7b67ynzr6k.1
title: LOCBEEF:  BEEF Quality Image dataset for Deep Learning Models

description: The LOCBEEF dataset contains 3268 images of local Aceh beef collected from 07:00 a.m - 22:00 p.m, more information about the clock is shown in Figure. The dataset contains two categories of directories, namely train, and test. Furthermore, each subdirectory consists of fresh and rotten.  The image directory for train contains 2228 images each subdirectory contains 1114 images, and the test directory contains 980 images for each subdirectory containing 490 images. For images have a resolution of 176 x 144 pixel, 320 x 240 pixel, 640 x 480 pixel, 720 x 480 pixel, 720 x 720 pixel, 1280 x 720 pixel, 1920 x 1080 pixel, 2560 x 1920 pixel, 3120 x 3120 pixel, 3264 x 2248 pixel, and  4160 x 3120 pixel.

The meat image is placed on a plate with a beef size of ± 10x10 cm, then taken using a smartphone that has an open camera application installed to get a different resolution. The smartphone uses a tripod with a distance to the meat of 20 cm at room temperature between 28-30 °Celsius and lighting using lamps.

The classification of LOCBEEF datasets has been carried out using the deep learning method of Convolutional Neural Networks with an image composition of 70% training data and 30% test data. Images with the mentioned dimensions are included in the LOCBEEF dataset to apply to the ResNet-50.
DOI: 10.17632/d742ccty5f.1
title: Data regarding the AlMo0.5NbTa0.5TiZr refractory high entropy superalloy 

description: The following data contains the raw data used to describe the AlMo0.5NbTa0.5TiZr refractory supealloy, in the as-cast and annealed (1400 °C, 24 h) states using XRD, SEM, TEM, and EDX analysis. This data is used for determination of the present phases and their volume fraction, grain size, phase size and chemical composition of the individual phases, for both states. This data is used to compare CALPHAD equilibrium and Scheil calculations.  The XRD data is presented in Excel files, and the simulated patterns for identification of the phases are presented in .cel files produced using the PowderCell program. The TEM micrographs are divided in as-cast and annealed, and the mode used for the analysis is in the name of the archive, as well as the conditions used for taken the image. The phase size of each specimen was determine using ImgaeJ and it is presented in Excel files. The SEM micrographs are presented as BSE (Backscattered Electron) images used to determine the grain size and the volume fraction of one of the phases in both states and the EDX data is presented as .docx, .pptx and the EDX maps are presented as raw data.
DOI: 10.17632/d742ccty5f.2
title: Data regarding the AlMo0.5NbTa0.5TiZr refractory high entropy superalloy 

description: The following data contains the raw data used to describe the AlMo0.5NbTa0.5TiZr refractory supealloy, in the as-cast and annealed (1400 °C, 24 h) states using XRD, SEM, TEM, and EDX analysis. This data is used for determination of the present phases and their volume fraction, grain size, phase size and chemical composition of the individual phases, for both states. This data is used to compare CALPHAD equilibrium and Scheil calculations.  The XRD data is presented in Excel files, and the simulated patterns for identification of the phases are presented in .cel files produced using the PowderCell program. The TEM micrographs are divided in as-cast and annealed, and the mode used for the analysis is in the name of the archive, as well as the conditions used for taken the image. The phase size of each specimen was determine using ImgaeJ and it is presented in Excel files. The SEM micrographs are presented as BSE (Backscattered Electron) images used to determine the grain size and the volume fraction of one of the phases in both states and the EDX data is presented as .docx, .pptx and the EDX maps are presented as raw data.
DOI: 10.17632/d742ccty5f.3
title: Data regarding the AlMo0.5NbTa0.5TiZr refractory high entropy superalloy 

description: The following data contains the raw data used to describe the AlMo0.5NbTa0.5TiZr refractory supealloy, in the as-cast and annealed (1400 °C, 24 h) states using XRD, SEM, TEM and EDX analysis. This data is used for determination of the present phases and their volume fraction, grain size, phase size and chemical composition of the individual phases, for both states. This data is used to compare CALPHAD equilibrium and Scheil calculations.  The XRD data is presented in Excel files, and the simulated patterns for identification of the phases are presented in .cel files produced using the PowderCell program. The TEM micrographs are divided in as-cast and annealed, and the mode used for the analysis is in the name of the archive, as well as the conditions used for taken the image. The phase size of each specimen was determine using ImgaeJ and it is presented in Excel files. The SEM micrographs are presented as BSE (Backscattered Electron) images used to determine the grain size and the volume fraction of one of the phases in both states and the EDX data is presented as .docx, .pptx and the EDX maps are presented as raw data.
DOI: 10.17632/d742ccty5f.4
title: Data regarding the AlMo0.5NbTa0.5TiZr refractory high entropy superalloy 

description: The following data contains the raw data used to describe the AlMo0.5NbTa0.5TiZr refractory supealloy, in the as-cast and annealed (1400 °C, 24 h) states using XRD, SEM, TEM and EDX analysis. This data is used for determination of the present phases and their volume fraction, grain size, phase size and chemical composition of the individual phases, for both states. This data is used to compare CALPHAD equilibrium and Scheil calculations.  The XRD data is presented in Excel files, and the simulated patterns for identification of the phases are presented in .cel files produced using the PowderCell program. The TEM micrographs are divided in as-cast and annealed, and the mode used for the analysis is in the name of the archive, as well as the conditions used for taken the image. The phase size of each specimen was determine using ImgaeJ and it is presented in Excel files. The SEM micrographs are presented as BSE (Backscattered Electron) images used to determine the grain size and the volume fraction of one of the phases in both states and the EDX data is presented as .docx, .pptx and the EDX maps are presented as raw data.
DOI: 10.17632/xm7skmn6tn.1
title: Data on the impact of The-Optimal-Lymph-Flow program on lymphedema symptoms in breast cancer survivors

description: Many breast cancer survivors face long-term postoperative challenges as a result of developing lymphedema symptoms and chronic lymphedema. The-Optimal-Lymph-Flow (TOLF) program is an intervention based on physiological-cognitive-behavioral principles that teaches patients self-management strategies to activate lymphatic system and promote lymph flow to decrease lymphedema symptoms, reduce the risk and severity of lymphedema. This data article presents the data obtained from a randomized clinical trial aimed at evaluating the use of TOLF program as an early intervention for breast cancer survivors at risk for lymphedema on improving lymphedema symptom experience and optimizing lymph fluid levels.
Between January 2019 and June 2020, a total of 92 eligible patients were randomly assigned to either the TOLF intervention group or the control group. Data was collected in terms of patients’ baseline demographic and clinical characteristics, pre- and post-intervention lymphedema symptom experience (i.e., the number of symptoms, symptom severity, symptom distress, and the impact of symptoms on patients’ activities of daily living) and lymph fluid levels (indicated by the limb volume differences). The Breast Cancer and Lymphedema Symptom Experience Index was used to measure lymphedema symptom experience and circumferential arm measurement was used to estimate limb volume differences. The data comparison between intervention and control groups at baseline and study endpoint were provided in this publication. 
The data shared can be used as a comparative reference in clinical settings or experimental studies to help determine the optimal exercise modalities in breast cancer survivors to reduce lymphedema risk and symptom sufferings, and provide a basis for further research related to this topic.
DOI: 10.17632/9brrpc8zy8.1
title: Literary texts Ukrainian 100

description: These 100 Ukrainian literary prosaic texts containing 20,000 words each were compiled as part of the comparable corpus in my DSc thesis (2020)  Psycholinguistic Regularities of Reproducing Literary Text in Translation (English and Ukrainian Languages).
DOI: 10.17632/4s28xcr6n6.1
title: Goal-directed modulation of stretch reflex gains is reduced in the non-dominant upper limb 

description: The data was obtained from the left arm of 16 (8:8, female:male) right handed participants. Surface electromyography (EMG) signals were recorded from seven arm muscles: (1) m. brachioradialis, (2) m. biceps brachii, (3) m. triceps brachii caput laterale, (4) m. triceps brachii caput longum, (5) m. deltoideus pars anterior (6) m. deltoideus pars posterior, and (7) m. pectoralis major.
DOI: 10.17632/fh2gr3cxyw.1
title: ExpertAR - the Augmented Reality in logistic and production

description: Celem badania było sprawdzenie, czy technologia rozszerzonej rzeczywistości może być użyteczna do pracy w magazynie oraz zidentyfikowanie trudności wynikających z korzystania z tej technologii w tym kontekście. Ponadto testowano użyteczność oprogramowania dedykowanego na okulary do rozszerzonej rzeczywistości, opracowanego w ramach realizacji projektu ExpertAR. Testy zostały przeprowadzone w środowisku analogicznym do tego, w jakim gotowy produkt będzie wykorzystywany przez użytkowników/czki - tj. w środowisku magazynowym. Na cele badania przeznaczona została jedna aleja w funkcjonującym magazynie – Centrum Logistyczne 7R Logistic Kraków Kokotów. Aleja została specjalnie przygotowana do prowadzenia badań: oznaczona kodami Lokalizacji i Jednostek Logistycznych kompatybilnymi z systemem BoxAR. Dla zwiększenia trafności ekologicznej badania (tj. możliwie najbliższego zrekonstruowania warunków panujących w docelowym kontekście pracy z systemem BoxAR) aleja, w której przeprowadzono badania nie była wyłączona z pracy magazynowej aktualnie realizowanej w 7R Logistic.
Prezentowane dane stanowią zapis nagrań dźwiękowych badań prowadzonych w dniach 02/07/2018 - 06/07/2018 - plik "recordings.zip"; zapis zrealizowanych w ich trackie procesów magazynowych - plik "realizacje - nagłówki dokumentów.xls"; surowe dane pochodzące z wywiadu przeprowadzonego z osobami badanymi - plik " 20180707_ExpertAR_IVetap__wynki_ilosc.xlsx".

Badania realizowane były w ramach projektu "ExpertAR – rozszerzona rzeczywistość w logistyce i produkcj." przez firmę Dataconsult S.A. w ramach Programu Operacyjnego Inteligentny Rozwój 2014-2020, Działanie 1.1: „Projekty B+R przedsiębiorstw”, Poddziałanie 1.1.1 „Badania przemysłowe i prace rozwojowe realizowane przez przedsiębiorstwa”

Zgodnie z wymogami RODO dane zostały zanonimizowane, w celu uniemożliwienia identyfikacji osób badanych.
DOI: 10.17632/rxkv6j7hrx.1
title: Data for Green Synthesis of Iron Nanoparticles Using Galinsoga parviflora, Conyza bonariensis and Bidens pilosa leaf extracts, and their Application in Degradation of Organic pollutants

description: This data was obtained from the green synthesis, and characterization of iron nanoparticles from aqueous leaf extracts of Conyza bonariensis, Bidens pilosa, and Galinsoga parviflora. The iron nanoparticles can be synthesized from the plant extracts using a 0.1 M iron III chloride solution. The iron nanoparticles can be characterized using spectroscopy and microscopy techniques (UV VIS and FTIR spectrophotometers, XRD, and SEM). The data is presented in the form of images, tables, and Microsoft Excel data sheets, among others. This data can be utilized by researchers in the green synthesis of iron nanoparticles, using leaf extracts of Conyza bonariensis, Bidens pilosa, Galinsoga parviflora, or any other plant. In addition, the data can be utilized to compare results from similar studies and even replicate research as presented herein.
DOI: 10.17632/rxkv6j7hrx.2
title: Data for Green Synthesis of Iron Nanoparticles Using Galinsoga parviflora, Conyza bonariensis and Bidens pilosa leaf extracts, and their Application in Degradation of Organic pollutants

description: This data was obtained from the green synthesis, and characterization of iron nanoparticles from aqueous leaf extracts of Conyza bonariensis, Bidens pilosa, and Galinsoga parviflora. The iron nanoparticles can be synthesized from the plant extracts using a 0.1 M iron III chloride solution. The iron nanoparticles can be characterized using spectroscopy and microscopy techniques (UV VIS and FTIR spectrophotometers, XRD, and SEM). The data is presented in the form of images, tables, and Microsoft Excel data sheets, among others. This data can be utilized by researchers in the green synthesis of iron nanoparticles, using leaf extracts of Conyza bonariensis, Bidens pilosa, Galinsoga parviflora, or any other plant. In addition, the data can be utilized to compare results from similar studies and even replicate research as presented herein.
DOI: 10.6084/m9.figshare.21650981
title: artificial barriers data sheet.xlsx

description: Results of the assessment of fish passability through artificial barriers using Rapid Barrier Passability and Hydropower Assessment Tool (https://amber.international/software/). <br> As per this protocol, the parameters of the barriers measured included: DH – drop head, the height difference between the upper and lower water table (used interchangeably with barrier height); H – water depth at the crest of the barrier; Hf – water depth below the barrier; Wt – width of the barrier head; Df – height difference between the lower water table and lower part of an inclined weir; slope – tilt of barrier surface. Measured parameters refer to the state of the barrier in the moment of measurement. Almost all parameters would change under different flow conditions and if the position of movable part of the barrier was altered. <br> The ICE protocol determines passability class basing on a decision-tree scheme, with six steps of various thresholds values. When a threshold for a DH is passed, the decision tree goes to the next threshold about H, etc. There are 20 ICE species groups based on different fish species abilities. Passability class was therefore scored for 47 fish species in 20 groups. The fish passability score was divided into 4 classes: 0 – no fish of the species is able to pass the barrier, 0.33 – only the strongest fish in good condition can pass the barrier with this causing delays in migration, 0.66 – over half of the species population is able to pass the barrier, although it causes delays, 1 – most fishes of a given species are able to pass the barrier, although it still can cause a delay in migration.