cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e184704v1
title: DATA AND CODE FOR: Sectoral Heterogeneity in Nominal Price Rigidity and the Origin of Aggregate Fluctuations

description: We study the role of heterogeneity in nominal price rigidity for aggregate fluctuations in a model with sectoral productivity shocks Theoretically, sectoral heterogeneity in the pricing friction has an ambiguous effect on GDP and aggregate price volatility. Quantitatively, (1) GDP volatility is amplified when the friction is heterogeneous rather than homogeneous; (2) sectoral shocks can jointly rationalize the volatility of sectoral prices, aggregate prices, and GDP, unlike aggregate shocks; (3) shocks to the largest or most central sectors may not matter in the aggregate as heterogeneous pricing frictions may alter the identity of the most important sectors for aggregate fluctuations.<br>
DOI: 10.6084/m9.figshare.19333214
title: Examining the role of trauma in alcohol interlock performance: A structural pathway analysis

description: Self-medication using alcohol is a common coping response among individuals dealing with trauma as is driving under the influence of alcohol (DUI). A common intervention for drivers convicted of DUI, is an alcohol ignition interlock device (IID)—which requires breath samples before starting the car. If the sample is above a predetermined limit (.025), the car will not start, thus preventing impaired driving. IIDs are an effective intervention to reduce rates of drinking and driving among high risk populations; however, limited research has examined how traumatic experiences may impact performance on IIDs. This study is an archival analysis of the Managing Heavy Drinking (MHD) study of drivers in New York state. The MHD is a comprehensive study of drivers convicted of a DUI from 2015–2020. Participants (N = 121) completed questionnaires and provided consent to retrieve information from interlock providers. Outcome variable included high BAC lockout ratios (number of high BAC lockouts [BAC&gt;.08]/number of clean blows [BAC ≤ .025]). Other variables included demographic variables, alcohol treatment history, trauma experiences, and prior DUI history. Variables were entered into a structural equation model. In the final structural model, pathways that demonstrated a <i>p</i>-value of greater than .10 were dropped from the model. This produced acceptable overall model fit statistics (χ2 = 27.059(10), <i>p</i>=.003; CFI = .900; NFI = .898; RMSEA = .063). A significant pathway was found from the trauma measure to alcohol use (<i>β</i> = .132), and from alcohol use to interlock performance (<i>β</i> = .636). However, no significant relationship was found between trauma and interlock performance other than through alcohol use. The current study provides a useful framework upon which to understand the role traumatic experiences have on alcohol IID performance. Traumatic experiences are in of themselves insufficient to impact IID performance directly, but it may indirectly impact IID performance through increasing alcohol use.
DOI: 10.6084/m9.figshare.19333214.v1
title: Examining the role of trauma in alcohol interlock performance: A structural pathway analysis

description: Self-medication using alcohol is a common coping response among individuals dealing with trauma as is driving under the influence of alcohol (DUI). A common intervention for drivers convicted of DUI, is an alcohol ignition interlock device (IID)—which requires breath samples before starting the car. If the sample is above a predetermined limit (.025), the car will not start, thus preventing impaired driving. IIDs are an effective intervention to reduce rates of drinking and driving among high risk populations; however, limited research has examined how traumatic experiences may impact performance on IIDs. This study is an archival analysis of the Managing Heavy Drinking (MHD) study of drivers in New York state. The MHD is a comprehensive study of drivers convicted of a DUI from 2015–2020. Participants (N = 121) completed questionnaires and provided consent to retrieve information from interlock providers. Outcome variable included high BAC lockout ratios (number of high BAC lockouts [BAC&gt;.08]/number of clean blows [BAC ≤ .025]). Other variables included demographic variables, alcohol treatment history, trauma experiences, and prior DUI history. Variables were entered into a structural equation model. In the final structural model, pathways that demonstrated a <i>p</i>-value of greater than .10 were dropped from the model. This produced acceptable overall model fit statistics (χ2 = 27.059(10), <i>p</i>=.003; CFI = .900; NFI = .898; RMSEA = .063). A significant pathway was found from the trauma measure to alcohol use (<i>β</i> = .132), and from alcohol use to interlock performance (<i>β</i> = .636). However, no significant relationship was found between trauma and interlock performance other than through alcohol use. The current study provides a useful framework upon which to understand the role traumatic experiences have on alcohol IID performance. Traumatic experiences are in of themselves insufficient to impact IID performance directly, but it may indirectly impact IID performance through increasing alcohol use.
DOI: 10.15468/fcdb87
title: Collection and database Filipp Kovalevsky

description: Private entomological collection and database, mainly Palaearctic Coleoptera & Lepidoptera, det. by F. Kovalevsky
DOI: 10.15468/bq3m99
title: Aphyllophoroid fungi (Basidiomycota) at deadwood of eight tree species in a mesic broad-leaved forest after a catastrophic windthrow in the Kaluzhskie Zaseki Reserve

description: The dataset includes results of basidiomata surveys carried out in August of 2020 and 2021 on lying trunks of trees fallen during the June 2006 windthrow. Trunks of the following eight tree species were observed: Acer platanoides, Betula pendula, Fraxinus excelsior, Picea abies, Populus tremula, Quercus robur, Tilia cordata, and Ulmus glabra. The dataset contains the following data: fungal species identity, tree species identity, id-number of the trunk corresponded to the tree number in the dataset (https://doi.org/10.15468/epgqxk), a surrogate abundance of fungal species on the trunk calculated as sum of its presence on 1-m trunk sections, trunk length and diameter at 1.3 m from the base. The data are published as part of the RSF Project No. 22-24-01063 https://rscf.ru/en/project/22-24-01063/).
DOI: 10.15468/8eckvg
title: Chronicle of Nature - Phenology of Mushrooms of Ilmensky State Nature Reserve, Russian Academy of Sciences, Urals Branch

description: Mushrooms Phenology dataset compiled in the context of Chronicle of Nature program in Ilmensky State Nature Reserve, Russian Academy of Sciences, Urals Branch (Russian Federation) consisting of 197 records collected during 44 years between 1971 and 2014.
DOI: 10.15468/aszj7a
title: Coleoptera of the Mordovia State Nature Reserve: study using fermental traps

description: A total of 6497 records on Coleoptera occurrence have been published from the territory of Mordovia State Nature Reserve (Russian Federation). A simple method of catching insects such as trapping with the help of fermental traps was used from 2018 to 2021. One thousand fifty-one traps of own design were carried installed. Dataset including data on 367 Coleoptera species from 52 families.
DOI: 10.5066/p14wiuuw
title: Daily Streamflow Data of Swift Reservoir Outflow and Selected Diversions from Birch Creek, Pondera County, Montana, January 2020 through December 2022

description: In 2019, the U.S. Geological Survey (USGS), in cooperation with the Blackfeet Water Department, initiated a multi-year hydrologic investigation of the Blackfeet Indian Reservation. The investigation was designed to increase understanding of the water resources of the Blackfeet Indian Reservation including Birch Creek which forms the southern boundary of the reservation. Streamflow is controlled in the headwaters of Birch Creek through the outflow from Swift Reservoir at Swift Dam. The data included in this data release was provided by the Pondera County Canal and Reservoir Company (PCCRC) and includes Swift Reservoir outflow daily streamflow values and daily streamflow values for three downstream diversions from Birch Creek including the B Canal Diversion, the Kingsbury Diversion, and the Ryan Lauffer Diversion for calendar years 2020-2022.
DOI: 10.15468/ssms3j
title: Oligochaeta (Annelidae) in hydrogen sulfide springs in the high North (Usa River catchment, Russia)

description: This dataset provides current data on Oligochaeta fauna of hydrogen sulfide springs in the high North (Usa River catchment, Russia). Data include 16 oligochaete species and forms. A total of 34 occurrences are included in the resource.
DOI: 10.15468/5a8ydf
title: Soil invertebrates occurrences in European North-East of Russia

description: The current project surveys 13 species of earthworms, 20 species of millipedes, 246 species of springtails, 446 species of rove beetles, 60 species of click beetles. A total of 5412 occurrences are included in the resource.
DOI: 10.5281/zenodo.10723906
title: Occurrences of Aristolochia hypoglauca
title: Ocorrências de Aristolochia hypoglauca
DOI: 10.5281/zenodo.10723907
title: Occurrences of Aristolochia hypoglauca
title: Ocorrências de Aristolochia hypoglauca
DOI: 10.15468/x84ejd
title: Bats from Ukraine in the collection of the Museum and Institute of Zoology of PAS

description: The dataset contains the biodata on bat specimens from Ukraine, kept in the Museum and Institute of Zoology of PAS. The dataset covers 65 specimens of two families: Vespertilionidae and Rhinolophidae. The time period: 1910–1940. Origin of the specimens: different regions of Ukraine (mostly); also Georgia, Turkmenistan and Russia. Most of the specimens were collected (and labelled) by the Ukrainian zoologist Borys Popov (1913–1942). In addition to its scientific importance, the collection is of historical value.
DOI: 10.6084/m9.figshare.9896078
title: Data from: Interspecific synchrony of seed rain shapes rodent-mediated indirect seed-seed interactions of sympatric tree species in a subtropical forest

description: <b>Abstract </b>

Animal-mediated
indirect interactions play a significant role in maintaining the biodiversity
of plant communities. Less known is whether interspecific synchrony of seed
rain can alter the indirect interactions of sympatric tree species. We
assessed the seed dispersal success by tracking the fates of 21,600 tagged seeds
from six paired sympatric tree species in both monospecific and mixed plots
across 4 successive years in a subtropical forest. We found that apparent mutualism was associated with the
interspecific synchrony of seed rain both seasonally and yearly, while apparent
competition or apparent
predation was associated with interspecific asynchrony
of seed rain either seasonally or yearly. We did not find consistent associations of indirect
interactions with seed traits. Our study suggests that the interspecific synchrony
of seed rain plays a key role in the formation of animal-mediated indirect
interactions, which in turn, may alter the seasonal
or yearly seed rain schedules of sympatric tree species.
DOI: 10.17632/ck49jyxcbt.1
title: Cyberbullying dataset for Kurdish Language

description: Cyberbullying has become an increasingly prevalent issue in the digital age, with the rise of social media and online communication. It can take many forms, including verbal attacks, harassment, and discrimination, and it can have serious consequences for victims, including depression, anxiety, and even suicide. While much research has been done on cyberbullying in languages such as English, Spanish, and Chinese, there has been little focus on languages spoken by smaller populations, such as Kurdish.
Kurdish is a language spoken by millions of people in the Middle East, including Turkey, Iran, Iraq, and Syria. It is an Indo-European language with several dialects, and it is considered an official language in Iraq and an official regional language in Iran. Despite its widespread use, there has been very little research on cyberbullying in Kurdish, and there are currently no datasets available that specifically focus on this issue.
To address this gap, we have created the first ever cyberbullying dataset for the Kurdish language. This dataset contains three classes: neutral, racism, and sexism. The neutral class includes messages that do not contain any form of cyberbullying, while the racism and sexism classes include messages that contain discriminatory language based on race or gender, respectively.
The dataset was created using a combination of manual and automated techniques. We collected a large number of messages from Twitter API, that were written in Kurdish. We then manually labeled these messages based on whether they contained cyberbullying or not, and further categorized them into the three classes.
The resulting dataset contains over 20,000 messages, with roughly equal distribution among the three classes. It is a valuable resource for researchers and practitioners who are interested in studying cyberbullying in the Kurdish language and developing strategies to combat it.
The dataset can be used for a variety of purposes, including training machine learning models to detect cyberbullying in Kurdish, analyzing the language used in cyberbullying messages to identify patterns and trends, and developing interventions to prevent and address cyberbullying in Kurdish-speaking communities.
DOI: 10.17632/ck49jyxcbt.2
title: Cyberbullying dataset for Kurdish Language

description: Cyberbullying has become an increasingly prevalent issue in the digital age, with the rise of social media and online communication. It can take many forms, including verbal attacks, harassment, and discrimination, and it can have serious consequences for victims, including depression, anxiety, and even suicide. While much research has been done on cyberbullying in languages such as English, Spanish, and Chinese, there has been little focus on languages spoken by smaller populations, such as Kurdish.
Kurdish is a language spoken by millions of people in the Middle East, including Turkey, Iran, Iraq, and Syria. It is an Indo-European language with several dialects, and it is considered an official language in Iraq and an official regional language in Iran. Despite its widespread use, there has been very little research on cyberbullying in Kurdish, and there are currently no datasets available that specifically focus on this issue.
To address this gap, we have created the first ever cyberbullying dataset for the Kurdish language. This dataset contains three classes: neutral, racism, and sexism. The neutral class includes messages that do not contain any form of cyberbullying, while the racism and sexism classes include messages that contain discriminatory language based on race or gender, respectively.
The dataset was created using a combination of manual and automated techniques. We collected a large number of messages from Twitter API, that were written in Kurdish. We then manually labeled these messages based on whether they contained cyberbullying or not, and further categorized them into the three classes.
The resulting dataset contains over 30,000 messages, with roughly equal distribution among the three classes. It is a valuable resource for researchers and practitioners who are interested in studying cyberbullying in the Kurdish language and developing strategies to combat it.
The dataset can be used for a variety of purposes, including training machine learning models to detect cyberbullying in Kurdish, analyzing the language used in cyberbullying messages to identify patterns and trends, and developing interventions to prevent and address cyberbullying in Kurdish-speaking communities.
DOI: 10.17632/ck49jyxcbt.3
title: Cyberbullying dataset for Kurdish Language

description: Cyberbullying has become an increasingly prevalent issue in the digital age, with the rise of social media and online communication. It can take many forms, including verbal attacks, harassment, and discrimination, and it can have serious consequences for victims, including depression, anxiety, and even suicide. While much research has been done on cyberbullying in languages such as English, Spanish, and Chinese, there has been little focus on languages spoken by smaller populations, such as Kurdish.
Kurdish is a language spoken by millions of people in the Middle East, including Turkey, Iran, Iraq, and Syria. It is an Indo-European language with several dialects, and it is considered an official language in Iraq and an official regional language in Iran. Despite its widespread use, there has been very little research on cyberbullying in Kurdish, and there are currently no datasets available that specifically focus on this issue.
To address this gap, we have created the first ever cyberbullying dataset for the Kurdish language. This dataset contains three classes: neutral, racism, and sexism. The neutral class includes messages that do not contain any form of cyberbullying, while the racism and sexism classes include messages that contain discriminatory language based on race or gender, respectively.
The dataset was created using a combination of manual and automated techniques. We collected a large number of messages from Twitter API, that were written in Kurdish. We then manually labeled these messages based on whether they contained cyberbullying or not, and further categorized them into the three classes.
The resulting dataset contains over 30,000 messages, with roughly equal distribution among the three classes. It is a valuable resource for researchers and practitioners who are interested in studying cyberbullying in the Kurdish language and developing strategies to combat it.
The dataset can be used for a variety of purposes, including training machine learning models to detect cyberbullying in Kurdish, analyzing the language used in cyberbullying messages to identify patterns and trends, and developing interventions to prevent and address cyberbullying in Kurdish-speaking communities.
DOI: 10.15468/eas584
title: Platanthera bifolia (L.) Rich. (Orchidaceae) in the Komi Republic

description: Platanthera bifolia (L.) Rich. (Lesser butterfly orchid, Orchidaceae) is a Eurasian boreal species. In the Komi Republic, it is located on the northern border of its range, found mainly in the south of the region. It grows in damp or excessively moist places: in blueberry birch forests, sod-sedge, grass aspens, in spruce forests of green moss, blueberry, long-moss, lingonberry pine forests, grass-sphagnum and sphagnum, as well as in damp mixed forests, swamps, sometimes in wet meadows. Propagated by seed. It is pollinated by moths, which are attracted by the smell of nectar contained in the spur. The data set contains data on the distribution of Platanthera bifolia (L.) Rich. in the Komi Republic, located in the European North-East Russia. In total, 159 localities of P. bifolia have been found within the borders of the Komi Republic, including 105 herbarium specimens and 54 occurrence records. The herbarium specimens are stored in the Herbarium of the Institute of Biology of Komi Scientific Centre of the Ural Branch RAS (SYKO). The dataset includes 159 records. The point set was prepared with data obtained as a result of field studies of the authors and acquired from vascular plant collection of SYKO herbaria. Most of the occurrences’ descriptions included the following fields: "occurrenceID", "institutionCode", "basisOfRecord", "DatasetName", "eventDate", "year", "month", "day", "scientificName", "higherClassification", "kingdom", "phylum", "class", "order", "family", "genus", "specificEpithet", "scientificNameAuthorship", "taxonRank", "identifiedBy", "dateIdentified", "decimalLatitude", "decimalLongitude", "geodeticDatum", "coordinateUncertaintyInMeters", "verbatimCoordinateSystem", "georeferencedBy", "georeferencedDate", "continent", "country", "countryCode", "stateProvince", "county", "verbatimLocality", "language", "license", "collectionCode", "catalogNumber", "recordedBy", "otherCatalogNumbers", "associatedMedia". The work was carried out with the financial support of the project «Herbarium funds of the biological diversity of plants and fungi of the Collection Fund of the Komarov Botanical Institute, Russian Academy of Sciences: modernization, development and networking as a basis for fundamental research and improvement of genetic technologies» (Agreement No. 075-15-2021-1056 dated 09/28/2021).
DOI: 10.15468/awptv2
title: Terrestrial snails and slugs of Voronezhsky State Nature Biosphere Reserve Named After V. Peskov

description: The data set contains information about the findings of land snails and slugs on the territory of the Voronezh Reserve. Data were obtained during field studies in May 2019.
DOI: 10.15468/59shfg
title: 2022_Anne-Lise RULLIERE_1

description: 2021_RULLIERE_FNE-Vaucluse:Anne-Lise RULLIERE
DOI: 10.15468/tpd927
title: Pôle de valorisation de déchets non dangereux à Mandelieu-la-Napoule (06) - Chauves-souris - Inventaire non protocolé

description: Listes des chauves-souris contactées dans le cadre des prospections de terrain réalisées au niveau de l'aire d'étude du projet d'aménagement d'une unité de gestion de déchets à Mandelieu-la-Napoule (06)
DOI: 10.15468/zebqn6
title: RN 580 - Transformation du carrefour en T existant en carrefour giratoire en sortie de l'autoroute A9 N°22 sur la commune de Roquemaure dans le département du Gard-Données Faune Roquemaure

description: Tables de données faune produites en 2021 pour le projet de Roquemaure
DOI: 10.15468/4rk4j6
title: 2022_Communauté de Communes des Alpes d'Azur_2

description: 2022_CCAA_exploracians:Communauté de Communes des Alpes d'Azur
DOI: 10.15468/f9fy4f
title: Centrale photovoltaïque du Pouzin II - PV Pouzin 2 Suivi chiro 2021

description: PV Pouzin 2 Suivi chiro 2021
DOI: 10.15468/gfwjwa
title: Pôle de valorisation de déchets non dangereux à Mandelieu-la-Napoule (06) - Insectes - Inventaire non protocolé

description: Listes des insectes contactés dans le cadre des prospections de terrain réalisées au niveau de l'aire d'étude du projet d'aménagement d'une unité de gestion de déchets à Mandelieu-la-Napoule (06)
DOI: 10.17632/k8vgpm7gcs.1
title: Nanostores’ Competitiveness and Sustainability Impact on Communities in Emerging Countries, An Interview with ChatGPT 3.5

description: This interview with ChatGPT 3.5 delves into the exploration of strategy alternatives for nanostores, as small independent grocery retailers, to enhance their economic competitiveness in retail landscapes while positively impacting the sustainability of their local communities in emerging countries.
DOI: 10.15468/2z55wz
title: CardObs : Observations naturalistes issues de l'outil CardObs-DREALGEÉtudeHelicettedeBohème2021

description: Recherche de l'Hélicette de Bohème sur les camps militaires de Champagne-Ardenne en 2021
DOI: 10.15468/r78j7h
title: [SUIVI] Inventaire annuel parc solaire Tavernes - [SUIVI_2021]_MAMMIFERES_Inventairenonstandardise_TAVERNES_ENGIE

description: Suivi annuel 2021 du parc photovoltaïque de Tavernes (Engie) - Liste des mammifères observés à l'échelle de l'aire d'étude en 2021.
DOI: 10.15468/89wzvr
title: PROJET DE CENTRALE SOLAIRE DE PREMERY-Inventaire Chiroptères

description: Listes des chiroptères contactées grâce à des points d'écoute au niveau de l'aire d'étude du projet de centrale solaire à Prémery