cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/g2m644tnz3.1
title: Magnetic loop antennas data for the manuscript "A strong pulsing nature of negative intracloud dart leaders accompanied by regular trains of microsecond-scale pulses "

description: Data used in the analysis of sequences of magnetic field microsecond scale pulses occurring during the development of  extensive intracloud flashes. The antennas measure the time derivative of the magnetic field fluctuations. Measurements conducted by the Antenna 2 are used to analyze event C1. Measurements conducted by the Antenna 1 are used to analyze events C5, C9-1 and C9-2.
DOI: 10.5281/zenodo.7774767
title: Overwintering strategies and life-history traits of different populations of Aphidius platensis along a latitudinal gradient in Chile

description: The onset of an overwintering strategy to overcome cold temperatures of a species of ectotherms can include<br> remaining active or entering diapause. This in turn will depend on the relative costs of each strategy and therefore, could differ among populations along a latitudinal gradient. Thus, expecting higher levels of diapause in the coldest conditions and a higher incidence of individuals remaining active in the warmest conditions. We assessed the insect responses to photoperiod and temperature, in five Chilean populations of the aphid parasitoid Aphidius platensis. We analysed the variation in winter temperature along the latitudinal gradient and, under controlled conditions, examining the potential effects of three constant conditions of photoperiod/temperature: 8:16LD (Light: Dark, hours) at 10°C, 10:14LD at 14°C, and 16:8LD at 20°C, on diapause levels. Finally, we measured cold tolerance (CTMin), developmental time, fresh body mass and size, fat and water content, and egg load for the emerging parasitoids. Our results showed no clear latitudinal gradient in temperature but differences among sites were clear. None of the five populations of A. platensis expressed diapause at any tested condition, suggesting that the environmental thresholds for diapause induction are perhaps not reached in this species under the studied latitudes. Insects from the coldest point in the gradient (Pinto) showed the lowest CTMin suggesting local adaptation. Moreover, physiological and life-history traits seem to adjust rapidly through developmental thermal acclimation, showing that plasticity is involved in the parasitoid’s responses to the temperature differences found among localities. Consequently, both local adaptation and phenotypic plasticity contribute to this species remaining active during the whole<br> winter, being an effective strategy to diapause in relatively mild and stable thermal environments.
DOI: 10.5281/zenodo.7774766
title: Overwintering strategies and life-history traits of different populations of Aphidius platensis along a latitudinal gradient in Chile

description: The onset of an overwintering strategy to overcome cold temperatures of a species of ectotherms can include<br> remaining active or entering diapause. This in turn will depend on the relative costs of each strategy and therefore, could differ among populations along a latitudinal gradient. Thus, expecting higher levels of diapause in the coldest conditions and a higher incidence of individuals remaining active in the warmest conditions. We assessed the insect responses to photoperiod and temperature, in five Chilean populations of the aphid parasitoid Aphidius platensis. We analysed the variation in winter temperature along the latitudinal gradient and, under controlled conditions, examining the potential effects of three constant conditions of photoperiod/temperature: 8:16LD (Light: Dark, hours) at 10°C, 10:14LD at 14°C, and 16:8LD at 20°C, on diapause levels. Finally, we measured cold tolerance (CTMin), developmental time, fresh body mass and size, fat and water content, and egg load for the emerging parasitoids. Our results showed no clear latitudinal gradient in temperature but differences among sites were clear. None of the five populations of A. platensis expressed diapause at any tested condition, suggesting that the environmental thresholds for diapause induction are perhaps not reached in this species under the studied latitudes. Insects from the coldest point in the gradient (Pinto) showed the lowest CTMin suggesting local adaptation. Moreover, physiological and life-history traits seem to adjust rapidly through developmental thermal acclimation, showing that plasticity is involved in the parasitoid’s responses to the temperature differences found among localities. Consequently, both local adaptation and phenotypic plasticity contribute to this species remaining active during the whole<br> winter, being an effective strategy to diapause in relatively mild and stable thermal environments.
DOI: 10.5683/sp2/avfvmr
title: LAPOP: Mexico 2006

description: The Latin American Public Opinion Project (LAPOP) is an academic institution hosted by Vanderbilt University that began with the study of democratic values in Costa Rica, but today carries out surveys in much of Latin America, Canada, the United States, and the Caribbean. In 2004, LAPOP established the AmericasBarometer as multi-country, regularly conducted survey of democratic values and behaviors in the Americas, and the first round included voting-age respondents from 11 countries. LAPOP collected opinions on major problems facing the country and community, threats to security, attitudes towards the country's political system, and trust in government institutions. Also measured were respondents' participation in community organizations, attitudes towards government critics, voting behavior, confidence in local government, and the prevalence of crime. Demographic information collected includes nationality, ethnicity, native language, age, gender, education level, occupation, religion, and whether the respondent lives in an urban or rural area.
DOI: 10.6084/m9.figshare.22340578
title: Sequences-rawData-submitted.zip

description: The sequence raw data of KD patients from Putian City, China.
DOI: 10.17632/8x4bdjc572.1
title: Data for "Instagram in the Modest Fashion Market: Analysis by Perspective of  Sociotechnical Structure" published by RAC - Revista de Administração Contemporânea

description: In this research, we aim to understand the sociotechnical role of Instagram in the modest fashion market in Brazil, proposing a theoretical-empirical model for the analysis of this social media as a market-thinking infrastructure. Therefore, we used two techniques for data collection: (a) semi-structured and in-depth interviews with 27 agents of the modest fashion market and (b) non-participant observation on Instagram. The data collected were analyzed by thematic content analysis.  The results demonstrate that Instagram offers an infrastructure that mediates and standardizes interactions between market actors, allowing the construction of the modest fashion market, once seen as stigmatized. Instagram's infrastructure establishes rules that will dictate the success (or exercised power) of users (market actors) in the network and, consequently, in the market.
DOI: 10.17632/4jmj4dsfjz.1
title: ACP role in primary care

description: ACP primary care
DOI: 10.17632/j3z5bmvmnd.2
title: GC-EI-MS datasets of trimethylsilyl (TMS) and tert-butyl dimethylsilyl (TBDMS) derivatives for development of machine learning-based compound identification approaches

description: In the field of environment and health studies, recent trends have focused on the identification of contaminants of emerging concern (CECs). This is a complex, challenging task, as compound databases (DBs) and mass spectral libraries (MSLs) resources concerning these compounds, i.e. resources are very poor. This is particularly true for semipolar organic contaminants that have to be derivatized prior to gas chromatography-mass spectrometry (GC-MS) analysis with electron impact ionization (EI), for which it is barely possible to find any records. In particular, there is a severe lack of datasets of GC-EI-MS spectra generated and made publicly available for the purpose of development, validation and performance evaluation of cheminformatics-assisted compound structure identification (CSI) approaches, including novel cutting-edge machine learning (ML)-based approaches.
In order to fill in this gap, we have generated four datasets of GC-EI-MS spectra of trimethylsilyl (TMS) and tert-butyldimethylsilyl (TBDMS) derivatives, in order to support machine learning-assisted compound identification and to aid in cheminformatics-assisted identification of silylated derivatives in GC-MS laboratories working in the field of environment and health. The datasets include raw (RAW) and processed (BS) datasets of GC-EI-MS spectra of TMS and TBDMS derivatives of CECs, along with their corresponding metadata, which contain the IUPAC name, exact mass, molecular formula, InChI, InChIKey, SMILES and PubChemID of each CEC and the corresponding CEC-TMS or CEC-TBDMS derivative, where available.
DOI: 10.17632/j3z5bmvmnd.4
title: GC-EI-MS datasets of trimethylsilyl (TMS) and tert-butyl dimethylsilyl (TBDMS) derivatives for development of machine learning-based compound identification approaches

description: In the field of environment and health studies, recent trends have focused on the identification of contaminants of emerging concern (CECs). This is a complex, challenging task, as compound databases (DBs) and mass spectral libraries (MSLs) concerning these compounds are very poor. This is particularly true for semi-polar organic contaminants that have to be derivatized prior to gas chromatography-mass spectrometry (GC-MS) analysis with electron impact ionization (EI), for which it is barely possible to find any records. In particular, there is a severe lack of datasets of GC-EI-MS spectra generated and made publicly available for the purpose of development, validation and performance evaluation of cheminformatics-assisted compound structure identification (CSI) approaches, including novel cutting-edge machine learning (ML) approaches.
In order to fill in this gap, we have generated 12 datasets of GC-EI-MS spectra of trimethylsilyl (TMS) and tert-butyldimethylsilyl (TBDMS) derivatives, which can be used to support machine learning-assisted CSI and to aid in cheminformatics-assisted identification of silylated derivatives in GC-MS laboratories working in the field of environment and health. The dataset includes:
- Four test datasets of raw (RAW) and processed (BS) GC-EI-MS spectra of TMS and TBDMS derivatives of CECs, given as .txt, .mgf and .msp files;
- Two sets of corresponding metadata (for TMS and TBDMS derivatives), which contain the IUPAC name, exact mass, molecular formula, InChI, InChIKey, SMILES and PubChemID of each CEC and the corresponding CEC-TMS or CEC-TBDMS derivative, where available;
- Metadata for four datasets of GC-EI-MS spectra of TMS derivatives derived from the NIST 17 Mass Spectral Library, including an initial dataset selected from the library and three datasets generated by applying consecutive filtering approaches. These metadata files contain common name, InChIKey, molecular formula, CAS number, exact mass, molecular weight, NIST number and ID of the GC-EI-MS spectra. TMS derivatives_0.1 refers to the original dataset derived from the NIST 17 Mass Spectral Library, TMS derivatives_1.1 to the dataset resulting after a first filtering step, TMS derivatives_2.1 after second and TMS derivatives_3.1 after third and final filtering step; and
- Metadata for four datasets of GC-EI-MS spectra of TBDMS derivatives derived from the NIST 17 Mass Spectral Library, including an initial dataset selected from the library and three datasets generated by applying three consecutive filtering steps. These metadata files contain the name, InChIKey, molecular formula, CAS number, exact mass, molecular weight, the NIST number and the ID of the GC-EI-MS spectra. TBDMS derivatives_0.1 refers to the original dataset derived from the NIST 17 Mass Spectral Library, TBDMS derivative_1.1 to the dataset resulting after a first filtering step, TBDMS derivative_2.1 after second and TBDMS_3.1 after third and final filtering step.
DOI: 10.17632/j3z5bmvmnd.5
title: GC-EI-MS datasets of trimethylsilyl (TMS) and tert-butyl dimethylsilyl (TBDMS) derivatives for development of machine learning-based compound identification approaches

description: In the field of environment and health studies, recent trends have focused on the identification of contaminants of emerging concern (CECs). This is a complex, challenging task, as compound databases (DBs) and mass spectral libraries (MSLs) concerning these compounds are very poor. This is particularly true for semi-polar organic contaminants that have to be derivatized prior to gas chromatography-mass spectrometry (GC-MS) analysis with electron impact ionization (EI), for which it is barely possible to find any records. In particular, there is a severe lack of datasets of GC-EI-MS spectra generated and made publicly available for the purpose of development, validation and performance evaluation of cheminformatics-assisted compound structure identification (CSI) approaches, including novel cutting-edge machine learning (ML) approaches.
In order to fill in this gap, we have generated 12 datasets of GC-EI-MS spectra of trimethylsilyl (TMS) and tert-butyldimethylsilyl (TBDMS) derivatives, which can be used to support machine learning-assisted CSI and to aid in cheminformatics-assisted identification of silylated derivatives in GC-MS laboratories working in the field of environment and health. The dataset includes:
- Four test datasets of raw (RAW) and processed (BS) GC-EI-MS spectra of TMS and TBDMS derivatives of CECs, given as .txt, .mgf and .msp files;
- Two sets of corresponding metadata (for TMS and TBDMS derivatives), which contain the IUPAC name, exact mass, molecular formula, InChI, InChIKey, SMILES and PubChemID of each CEC and the corresponding CEC-TMS or CEC-TBDMS derivative, where available;
- Metadata for four datasets of GC-EI-MS spectra of TMS derivatives derived from the NIST 17 Mass Spectral Library, including an initial dataset selected from the library and three datasets generated by applying consecutive filtering approaches. These metadata files contain common name, InChIKey, molecular formula, CAS number, exact mass, molecular weight, NIST number and ID of the GC-EI-MS spectra. TMS derivatives_0.1 refers to the original dataset derived from the NIST 17 Mass Spectral Library, TMS derivatives_1.1 to the dataset resulting after a first filtering step, TMS derivatives_2.1 after second and TMS derivatives_3.1 after third and final filtering step; and
- Metadata for four datasets of GC-EI-MS spectra of TBDMS derivatives derived from the NIST 17 Mass Spectral Library, including an initial dataset selected from the library and three datasets generated by applying three consecutive filtering steps. These metadata files contain the name, InChIKey, molecular formula, CAS number, exact mass, molecular weight, the NIST number and the ID of the GC-EI-MS spectra. TBDMS derivatives_0.1 refers to the original dataset derived from the NIST 17 Mass Spectral Library, TBDMS derivative_1.1 to the dataset resulting after a first filtering step, TBDMS derivative_2.1 after second and TBDMS_3.1 after third and final filtering step.
DOI: 10.17632/j3z5bmvmnd.1
title: GC-EI-MS datasets of trimethylsilyl (TMS) and tert-butyl dimethylsilyl (TBDMS) derivatives for development of machine learning-based compound identification approaches

description: In the field of environment and health studies, recent trends have focused on the identification of contaminants of emerging concern (CECs). This is a complex, challenging task, as compound databases (DBs) and mass spectral libraries (MSLs) resources concerning these compounds, i.e. resources are very poor. This is particularly true for semipolar organic contaminants that have to be derivatized prior to gas chromatography-mass spectrometry (GC-MS) analysis with electron impact ionization (EI), for which it is barely possible to find any records. In particular, there is a severe lack of datasets of GC-EI-MS spectra generated and made publicly available for the purpose of development, validation and performance evaluation of cheminformatics-assisted compound structure identification (CSI) approaches, including novel cutting-edge machine learning (ML)-based approaches.
In order to fill in this gap, we have generated four datasets of GC-EI-MS spectra of trimethylsilyl (TMS) and tert-butyldimethylsilyl (TBDMS) derivatives, in order to support machine learning-assisted compound identification and to aid in cheminformatics-assisted identification of silylated derivatives in GC-MS laboratories working in the field of environment and health. The datasets include raw (RAW) and processed (BS) datasets of GC-EI-MS spectra of TMS and TBDMS derivatives of CECs, along with their corresponding metadata, which contain the IUPAC name, exact mass, molecular formula, InChI, InChIKey, SMILES and PubChemID of each CEC and the corresponding CEC-TMS or CEC-TBDMS derivative, where available.
DOI: 10.17632/2htwb6pvhc.1
title: Acoustic monitoring of owls in Alps

description: The study was carried out in the Alps region. The study sites were located at an altitude of 630 – 1260 m a. s. l. Managed forests were selected from areas managed by the Bundesforste organization (N 47,792390°, E 15,003097° and N 47,788820°, E 14,873991° and one in N 47,271191°, E 12,790635°). Protected areas were localized in the Wildnisgebiet Durrenstein (WGD, N 47,762007°, E 15,021724°), Nature Reserve Kesselfall (N 47,213183°, E 12,722890°) and NP Gesause (N 47,586255°, E 14,640948°). 

This study compares the number of owl territories in managed and protected areas in the first goal. The second goal is aimed at the impact of the environment on owl assemblages.    

The data represent a table containing the results for the lines with the number of owl territories and information about environmental parameters in the 300 m buffer around the line.
DOI: 10.17632/2htwb6pvhc.2
title: Acoustic monitoring of owls in Alps

description: The study was carried out in the Alps region. The study sites were located at an altitude of 630 – 1260 m a. s. l. Managed forests were selected from areas managed by the Bundesforste organization (N 47,792390°, E 15,003097° and N 47,788820°, E 14,873991° and one in N 47,271191°, E 12,790635°). Protected areas were localized in the Wildnisgebiet Durrenstein (WGD, N 47,762007°, E 15,021724°), Nature Reserve Kesselfall (N 47,213183°, E 12,722890°) and NP Gesause (N 47,586255°, E 14,640948°). 

This study compares the number of owl territories in managed and protected areas in the first goal. The second goal is aimed at the impact of the environment on owl assemblages.    

The data represent a table containing the results for the lines with the number of owl territories and information about environmental parameters in the 300 m buffer around the line.
DOI: 10.17632/2htwb6pvhc.3
title: Acoustic monitoring of owls in Alps

description: The study was carried out in the Alps region. The study sites were located at an altitude of 630 – 1260 m a. s. l. Managed forests were selected from areas managed by the Bundesforste organization (N 47,792390°, E 15,003097° and N 47,788820°, E 14,873991° and one in N 47,271191°, E 12,790635°). Protected areas were localized in the Wildnisgebiet Durrenstein (WGD, N 47,762007°, E 15,021724°), Nature Reserve Kesselfall (N 47,213183°, E 12,722890°) and NP Gesause (N 47,586255°, E 14,640948°). 

This study compares the number of owl territories in managed and protected areas in the first goal. The second goal is aimed at the impact of the environment on owl assemblages.    

The data represent a table containing the results for the lines with the number of owl territories and information about environmental parameters in the 300 m buffer around the line.
DOI: 10.5522/04/22310011
title: Scanning electron micrographs: dorsal root ganglia

description: <strong>Scanning electron micrographs of dorsal root ganglia neurons associated with </strong><em><strong>Pocratsky et al 2023, Science Translational Medicine</strong></em> <br> <strong>SEM_DRG_metaData.xlsx</strong>: summary of raw images provided, included code for genotypes <br> Images were generated from postnatal day 18 littermate controls (Cdx2::wt;Tor1a-wt/frt) and spinal <em>Tor1a </em>d-cko mice (Cdx2::FlpO;Tor1a-frt/frt) that develop early onset generalised torsional dystonia. <br> Images were generated using the sense backscatter detector on a Gemini 300 SEM (Zeiss) and images at 10 nm resolution. <br> Full methodological details are provided with publication
DOI: 10.5522/04/22310011.v1
title: Scanning electron micrographs: dorsal root ganglia

description: <strong>Scanning electron micrographs of dorsal root ganglia neurons associated with </strong><em><strong>Pocratsky et al 2023, Science Translational Medicine</strong></em> <br> <strong>SEM_DRG_metaData.xlsx</strong>: summary of raw images provided, included code for genotypes <br> Images were generated from postnatal day 18 littermate controls (Cdx2::wt;Tor1a-wt/frt) and spinal <em>Tor1a </em>d-cko mice (Cdx2::FlpO;Tor1a-frt/frt) that develop early onset generalised torsional dystonia. <br> Images were generated using the sense backscatter detector on a Gemini 300 SEM (Zeiss) and images at 10 nm resolution. <br> Full methodological details are provided with publication
DOI: 10.17632/5vvd5fy6j7.1
title: New Valley Journal of Agricultural Science (NVJAS)

description: New Valley Journal of Agricultural Science (NVJAS) is an open-access peer-reviewed journal, publishing original, basic, and applied research articles in the areas of all disciplines in the field of agricultural sciences and related fields. NVJAS is published by the Faculty of Agriculture- New Valley University, Egypt. NVJAS publishes manuscripts of original research articles, short communications, reviews, editorial letters, and case reports in English. Publications include the following disciplines: Plant production, Animal and poultry production, Food and dairy industries, Plant protection and plant diseases, Agricultural chemistry and microbiology, Biotechnology, Land and agricultural engineering and Economic and socio-agricultural. Frequency: NVJAS journal is a quarterly online and print with seasonal issues in (January, April, July and October).
DOI: 10.5683/sp2/bfydei
title: LAPOP: Mexico 2008

description: The Latin American Public Opinion Project (LAPOP) is an academic institution hosted by Vanderbilt University that began with the study of democratic values in Costa Rica, but today carries out surveys in much of Latin America, Canada, the United States, and the Caribbean. In 2004, LAPOP established the AmericasBarometer as multi-country, regularly conducted survey of democratic values and behaviors in the Americas, and the first round included voting-age respondents from 11 countries. LAPOP collected opinions on major problems facing the country and community, threats to security, attitudes towards the country's political system, and trust in government institutions. Also measured were respondents' participation in community organizations, attitudes towards government critics, voting behavior, confidence in local government, and the prevalence of crime. Demographic information collected includes nationality, ethnicity, native language, age, gender, education level, occupation, religion, and whether the respondent lives in an urban or rural area.
DOI: 10.17632/bf8tw2s6tc.1
title: (Dataset) Accessibility in educational resources for respiratory therapies

description: Contains a data set on accessibility in educational resources for respiratory therapies.
DOI: 10.17632/tvh4vhvk45.1
title: Autoimmune Hepatitis and Cutaneous Malignancies

description: Autoimmune Hepatitis and Cutaneous Malignancies (March 26, 2023)