cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6073/pasta/91cc79c2ccb4e3ffe5ca84e0b1c65320
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 13 meteorological station: Daily average soil volumetric water content data: 2013 - ongoing

description: Daily Average of 30-minute Soil Volumetric Water Content data at 10 cm at CSIS Block-13. Collection of soil water content data at Jornada LTER Cross-scale Interactions Study (CSIS) blocks, New Mexico, supports the environmental monitoring objectives of the Jornada LTER monitoring program that look at plant-soil water dynamics. Soil volumetric water content is measured every 30 minutes at 10 cm depth at 3 locations at each of the 4 plots per block and averaged for the daily value. The locations in each plot are under bare soil, under perennial grass, and under shrub. Volumetric water content, bulk electrical conductivity, soil temperature, and bulk dielectric permittivity are recorded at an automated meteorological station installed at Jornada LTER CSIS Block-13 site. This is an ONGOING dataset.
DOI: 10.6073/pasta/d72fd1fbb84682ef7324653100764a2c
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 13 meteorological station: Daily summary data: 2013 - ongoing

description: This data package contains hourly air temperature, relative humidity, wind speed, wind direction, and precipitation summary data from Jornada Basin LTER Cross Scale Interactions Study (CSIS) Block-13 met station. Air temperature, relative humidity, wind speed, wind direction, and precipitation are measured and calculated at an automated meteorological station connected to a 900 MHz spread spectrum wireless network. Wind speed is measured at 37cm, 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. Measurements are aggregated at intervals of 5, 30, 60 minutes and daily, with precipitation additionally provided with 1 second aggregation during precipitation events. The met station variables measured include air temperature, precipitation, relative humidity, wind direction, wind speed. Precipitation is not measured at Block 1 and Block 12 because of proximity to Block 2 and Block 13, respectively . This is an ONGOING dataset.
DOI: 10.6073/pasta/b41e0bbe7f7335e1ffe73fd3d1f8a3c0
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 13 meteorological station: 1-second summary precipitation data: 2017 - ongoing

description: 1-second summary precipitation data at CSIS Block-13 met station. Total precipitation per second is recorded only if there is measurable precipitation. This is recorded at an automated meteorological station installed at Jornada LTER CSIS Block-13 site.. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset. IMPORTANT: Rainfall is only recorded when a bucket tip occurs on the tipping bucket rain gauge. If there is missing data due to equipment or other problems, there will be no indication of this within this dataset. The user needs to review precipitation values in the 30 minute or hourly summary datasets to determine if there are missing data in this 1 second detailed precipitation dataset.
DOI: 10.5281/zenodo.7770297
title: Dados abertos do artigo intitulado Ações voltadas a pessoas com deficiência - uma análise de publicações das revistas científicas em extensão no Brasil

description: Planilha em formato XLSX contendo indicação de todas as revistas, link de acesso aos artigos, título, nomes dos autores, resumo, palavras-chave, ano de publicação, as relações dos trabalhos com a questão da deficiência expressão de busca, query, quantidade de artigos recuperados e selecionados.
DOI: 10.5281/zenodo.7770296
title: Dados abertos do artigo intitulado Ações voltadas a pessoas com deficiência - uma análise de publicações das revistas científicas em extensão no Brasil

description: Planilha em formato XLSX contendo indicação de todas as revistas, link de acesso aos artigos, título, nomes dos autores, resumo, palavras-chave, ano de publicação, as relações dos trabalhos com a questão da deficiência expressão de busca, query, quantidade de artigos recuperados e selecionados.
DOI: 10.6073/pasta/7f123f0d514de8c534b3c1065aed16b7
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 14 meteorological station: 30-minute summary data: 2017 - ongoing

description: This data package contains 30-minute air temperature, relative humidity, and wind summary data from Jornada Basin LTER Cross Scale Interactions Study (CSIS) Block-1 met station. Average air temperature, relative humidity, wind speed, wind direction, and precipitation are measured and calculated at an automated meteorological station connected to a 900 MHz spread spectrum wireless network. Wind speed is measured at 37cm, 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. Measurements are aggregated at intervals of 5, 30, 60 minutes and daily, with precipitation additionally provided with 1 second aggregation during precipitation events. The met station variables measured include air temperature, precipitation, relative humidity, wind direction, wind speed. Precipitation is not measured at Block 1 and Block 12 because of proximity to Block 2 and Block 13, respectively. This is an ONGOING dataset.
DOI: 10.34740/kaggle/dsv/5235475
title: Nigerian Presidential Election 2023 Tweets
DOI: 10.6084/m9.figshare.21779150
title: Urban birds, traits, and landscapes

description: Data and code supporting Neate-Clegg et al., Trait-based predictions of urban tolerance for the world’s birds are modulated by latitude and human population density.
DOI: 10.6084/m9.figshare.21779150.v1
title: Urban birds, traits, and landscapes

description: Data and code supporting Neate-Clegg et al., Trait-based predictions of urban tolerance for the world’s birds are modulated by latitude and human population density.
DOI: 10.5281/zenodo.6599940
title: NILK

description: A dataset for the NIL-linking and NIL-disambiguation tasks. A shortened, incomplete version. For the full one, refer to version 2.
DOI: 10.5281/zenodo.6599939
title: NILK

description: A dataset for the NIL-detection and NIL-disambiguation tasks. The NILK dataset has two main features: 1) It marks NIL-mentions for NIL-detection by extracting mentions which belong to newly added entities in Wikipedia text. 2) It provides an entity label for NIL-disambiguation by marking NIL-mentions with WikiData IDs from the newer dump. Dataset files contain JSON objects of the following structure: <pre><code class="language-json">{"mention":"Walter Damrosch", "offset":348, "length":15, "context":"...the conductor Walter Damrosch. He scored the piece for the standard instruments of the symphony orchestra plus celesta, saxophone, and automobile horns...", "wikipedia_page_id":"309", "wikidata_id":"Q725579", "nil":false}</code></pre> The dataset contains both linked and not linked mentions, one can distinguish between them by checking "nil" flag. To obtain NIL-mentions, we compared two WikiData dumps: from 2017 and 2021. NIL-mentions have WikiData ID from WikiData 2021, one can use it to check whether these mentions refer to the same entity. The dataset was designed with the WikiData 2017 as the target knowledge base in mind: https://archive.org/download/wikibase-wikidatawiki-20170213/wikidata-20170213-all.json.gz nilk_03_2023.zip contains same data with longer contexts (unsplit)
DOI: 10.5281/zenodo.6607514
title: NILK

description: A dataset for the NIL-detection and NIL-disambiguation tasks. The NILK dataset has two main features: 1) It marks NIL-mentions for NIL-detection by extracting mentions which belong to newly added entities in Wikipedia text. 2) It provides an entity label for NIL-disambiguation by marking NIL-mentions with WikiData IDs from the newer dump. Dataset files contain JSON objects of the following structure: <pre><code class="language-json">{"mention":"Walter Damrosch", "offset":348, "length":15, "context":"...the conductor Walter Damrosch. He scored the piece for the standard instruments of the symphony orchestra plus celesta, saxophone, and automobile horns...", "wikipedia_page_id":"309", "wikidata_id":"Q725579", "nil":false}</code></pre> The dataset contains both linked and not linked mentions, one can distinguish between them by checking "nil" flag. To obtain NIL-mentions, we compared two WikiData dumps: from 2017 and 2021. NIL-mentions have WikiData ID from WikiData 2021, one can use it to check whether these mentions refer to the same entity. The dataset was designed with the WikiData 2017 as the target knowledge base in mind: https://archive.org/download/wikibase-wikidatawiki-20170213/wikidata-20170213-all.json.gz
DOI: 10.5281/zenodo.7708439
title: NILK

description: A dataset for the NIL-detection and NIL-disambiguation tasks. The NILK dataset has two main features: 1) It marks NIL-mentions for NIL-detection by extracting mentions which belong to newly added entities in Wikipedia text. 2) It provides an entity label for NIL-disambiguation by marking NIL-mentions with WikiData IDs from the newer dump. Dataset files contain JSON objects of the following structure: <pre><code class="language-json">{"mention":"Walter Damrosch", "offset":348, "length":15, "context":"...the conductor Walter Damrosch. He scored the piece for the standard instruments of the symphony orchestra plus celesta, saxophone, and automobile horns...", "wikipedia_page_id":"309", "wikidata_id":"Q725579", "nil":false}</code></pre> The dataset contains both linked and not linked mentions, one can distinguish between them by checking "nil" flag. To obtain NIL-mentions, we compared two WikiData dumps: from 2017 and 2021. NIL-mentions have WikiData ID from WikiData 2021, one can use it to check whether these mentions refer to the same entity. The dataset was designed with the WikiData 2017 as the target knowledge base in mind: https://archive.org/download/wikibase-wikidatawiki-20170213/wikidata-20170213-all.json.gz nilk_03_2023.zip contains same data with longer contexts (unsplit)
DOI: 10.5281/zenodo.7769864
title: NILK

description: A dataset for the NIL-detection and NIL-disambiguation tasks. The NILK dataset has two main features: 1) It marks NIL-mentions for NIL-detection by extracting mentions which belong to newly added entities in Wikipedia text. 2) It provides an entity label for NIL-disambiguation by marking NIL-mentions with WikiData IDs from the newer dump. Dataset files contain JSON objects of the following structure: <pre><code class="language-json">{"mention":"Walter Damrosch", "offset":348, "length":15, "context":"...the conductor Walter Damrosch. He scored the piece for the standard instruments of the symphony orchestra plus celesta, saxophone, and automobile horns...", "wikipedia_page_id":"309", "wikidata_id":"Q725579", "nil":false}</code></pre> The dataset contains both linked and not linked mentions, one can distinguish between them by checking "nil" flag. To obtain NIL-mentions, we compared two WikiData dumps: from 2017 and 2021. NIL-mentions have WikiData ID from WikiData 2021, one can use it to check whether these mentions refer to the same entity. The dataset was designed with the WikiData 2017 as the target knowledge base in mind: https://archive.org/download/wikibase-wikidatawiki-20170213/wikidata-20170213-all.json.gz nilk_03_2023.zip contains same data with longer contexts (unsplit)
DOI: 10.5281/zenodo.7770325
title: cephus_fumipennis_decontaminated_gx.fasta.gz

description: .
DOI: 10.5281/zenodo.7770324
title: cephus_fumipennis_decontaminated_gx.fasta.gz

description: .
DOI: 10.6073/pasta/078b5f747660d3afdc2f55020d05788c
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 14 meteorological station: 5-minute summary wind and air temperature data: 2013 - ongoing

description: This data package contains 5-minute air temperature and wind summary data from Jornada Basin LTER Cross Scale Interactions Study (CSIS) Block-14 met station. Average air temperature, wind speed, and wind direction are measured and calculated at an automated meteorological station connected to a 900 MHz spread spectrum wireless network. Wind speed is measured at 37cm, 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. This is a subset of baseline weather data collected at the 15 Jornada Basin LTER CSIS study blocks, New Mexico. Measurements are aggregated at intervals of 5, 30, 60 minutes and daily, with precipitation additionally provided with 1 second aggregation during precipitation events. The met station variables measured include air temperature, precipitation, relative humidity, wind direction, wind speed. Precipitation is not measured at Block 1 and Block 12 because of proximity to Block 2 and Block 13, respectively . This is an ONGOING dataset.
DOI: 10.6073/pasta/d2af83bcf607ec985aad8dc4861d13d9
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 14 meteorological station: 1-hour summary data: 2017 - ongoing

description: This data package contains hourly air temperature, relative humidity, wind speed, wind direction, and precipitation summary data from Jornada Basin LTER Cross Scale Interactions Study (CSIS) Block-14 met station. Air temperature, relative humidity, wind speed, wind direction, and precipitation are measured and calculated at an automated meteorological station connected to a 900 MHz spread spectrum wireless network. Wind speed is measured at 37cm, 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. Measurements are aggregated at intervals of 5, 30, 60 minutes and daily, with precipitation additionally provided with 1 second aggregation during precipitation events. Precipitation is not measured at Block 1 and Block 12 because of proximity to Block 2 and Block 13, respectively . This is an ONGOING dataset.
DOI: 10.6073/pasta/8a86710f25adeae3a2540b6cb14d7546
title: Bathymetric data for Lake Sunapee, NH, USA

description: This dataset includes four raster layers of bathymetry data for the basin of Lake Sunapee, NH, USA. They are in ESRI grid format, UTM NAD83 (zone 19) with 1.3m grid cells. They were created in 2008 by Digital Bathymetrics (www.bathymetrics.com) for June Fichter of the Lake Sunapee Protective Association (LSPA) and Kathleen Weathers of the Cary Institute of Ecosystem Studies. All depths were adjusted to the mean summer pool elevation of Lake Sunapee which is 1093 feet above sea level.
DOI: 10.5517/ccdc.csd.cc284vhs
title: CCDC 2090035: Experimental Crystal Structure Determination

description: Related Article: I. Kammoun, M. Belhouchet, A. Ben Ahmed, J. Lhoste, M. Gargouri|2023|RSC Advances|13|8034|doi:10.1039/D3RA00561E
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6073/pasta/aa1689861932beb92449716877d20d97
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 14 meteorological station: 30-minute soil volumetric water content data: 2013 - ongoing

description: 30-minute Soil Moisture data at 10 cm at CSIS Block-14. Collection of soil volumetric water content data at Jornada LTER Cross-scale Interactions Study (CSIS) blocks, New Mexico, supports the environmental monitoring objectives of the Jornada LTER monitoring program that look at plant-soil water dynamics. Soil volumetric water content is measured at 10 cm depth at 3 locations at each of the 4 plots per block. The locations in each plot are under bare soil, under perennial grass, and under shrub. Volumetric water content, bulk electrical conductivity, soil temperature, and bulk dielectric permittivity are recorded every 30 minutes at an automated meteorological station installed at Jornada LTER CSIS Block-14 site. This is an ONGOING dataset.
DOI: 10.6073/pasta/63e75845ef9c8bac2b80bdaf34741890
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 14 meteorological station: Daily average soil volumetric water content data: 2013 - ongoing

description: Daily Average of 30-minute Soil Volumetric Water Content data at 10 cm at CSIS Block-14. Collection of soil water content data at Jornada LTER Cross-scale Interactions Study (CSIS) blocks, New Mexico, supports the environmental monitoring objectives of the Jornada LTER monitoring program that look at plant-soil water dynamics. Soil volumetric water content is measured every 30 minutes at 10 cm depth at 3 locations at each of the 4 plots per block and averaged for the daily value. The locations in each plot are under bare soil, under perennial grass, and under shrub. Volumetric water content, bulk electrical conductivity, soil temperature, and bulk dielectric permittivity are recorded at an automated meteorological station installed at Jornada LTER CSIS Block-14 site. This is an ONGOING dataset.
DOI: 10.6073/pasta/153a4d1a253bbae55e446670cb95fcad
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 14 meteorological station: Daily summary data: 2013 - ongoing

description: This data package contains hourly air temperature, relative humidity, wind speed, wind direction, and precipitation summary data from Jornada Basin LTER Cross Scale Interactions Study (CSIS) Block-14 met station. Air temperature, relative humidity, wind speed, wind direction, and precipitation are measured and calculated at an automated meteorological station connected to a 900 MHz spread spectrum wireless network. Wind speed is measured at 37cm, 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. Measurements are aggregated at intervals of 5, 30, 60 minutes and daily, with precipitation additionally provided with 1 second aggregation during precipitation events. The met station variables measured include air temperature, precipitation, relative humidity, wind direction, wind speed. Precipitation is not measured at Block 1 and Block 12 because of proximity to Block 2 and Block 13, respectively . This is an ONGOING dataset.
DOI: 10.6073/pasta/5622e1fac8aa63fddfbaeece0d064244
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 14 meteorological station: 1-second summary precipitation data: 2017 - ongoing

description: 1-second summary precipitation data at CSIS Block-14 met station. Total precipitation per second is recorded only if there is measurable precipitation. This is recorded at an automated meteorological station installed at Jornada LTER CSIS Block-14 site.. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset. IMPORTANT: Rainfall is only recorded when a bucket tip occurs on the tipping bucket rain gauge. If there is missing data due to equipment or other problems, there will be no indication of this within this dataset. The user needs to review precipitation values in the 30 minute or hourly summary datasets to determine if there are missing data in this 1 second detailed precipitation dataset.
DOI: 10.5281/zenodo.7770365
title: Characterizing ground and surface fuels across Sierra Nevada forests shortly after the 2012–2016 drought

description: These files include the main processed data and R script used in the analysis for the publication <strong>Characterizing ground and surface fuels across Sierra Nevada forests </strong><strong>shortly after the 2012</strong>–<strong>2016 drought </strong>accepted in the journal Forest Ecology and Management. <strong>Abtract</strong> The 2012–2016 hotter drought in the Sierra Nevada, California, USA led to the mortality of millions of trees. This disruption to the disturbance regime is an example of how climate extremes can exacerbate current and future wildfire risks. In this study, we used data from an extensive network of forest plots across 13 different sites in the Sierra Nevada to characterize ground (i.e., duff) and surface fuels and their potential drivers shortly after the drought (2016–2018), but before snag (standing dead tree) fall associated with this massive tree mortality event occurred. Overall, we found high biomass of fuels for most sites (138.2 ± 21.7 Mg ha-1, Mean ± 95% CI), especially in areas lacking recent fire or active management, with values up to five times higher than estimates for pre-settlement conditions for mixed-conifer forests in the region. Four major groups of forest overstory structure were identified with some distinct fuel characteristics. These ranged from a cluster of ponderosa pine (Pinus ponderosa Douglas ex Lawson)-dominated plots with the highest density of snags, lowest live tree basal area, and lowest total ground and surface fuel biomass (mean = 90.1 Mg ha-1) to a group of giant sequoia (Sequoiadendron giganteum (Lindl.) J. Buchholz)-dominated plots with the highest live tree basal area and highest total fuel biomass (mean = 547.6 Mg ha-1). Although we found relatively weak relationships between forest characteristics and fuel loads, their inclusion in a model selection framework that also considered biophysical variables and disturbance history explained more than 80% of the observed variation in litter + fine woody debris loads. The baseline fuel conditions described here will not only inform the management of drought-impacted forests in the Sierra Nevada, but also help identify key drivers of fuel succession in a changing environment.
DOI: 10.5281/zenodo.7770364
title: Characterizing ground and surface fuels across Sierra Nevada forests shortly after the 2012–2016 drought

description: These files include the main processed data and R script used in the analysis for the publication <strong>Characterizing ground and surface fuels across Sierra Nevada forests </strong><strong>shortly after the 2012</strong>–<strong>2016 drought </strong>accepted in the journal Forest Ecology and Management. <strong>Abtract</strong> The 2012–2016 hotter drought in the Sierra Nevada, California, USA led to the mortality of millions of trees. This disruption to the disturbance regime is an example of how climate extremes can exacerbate current and future wildfire risks. In this study, we used data from an extensive network of forest plots across 13 different sites in the Sierra Nevada to characterize ground (i.e., duff) and surface fuels and their potential drivers shortly after the drought (2016–2018), but before snag (standing dead tree) fall associated with this massive tree mortality event occurred. Overall, we found high biomass of fuels for most sites (138.2 ± 21.7 Mg ha-1, Mean ± 95% CI), especially in areas lacking recent fire or active management, with values up to five times higher than estimates for pre-settlement conditions for mixed-conifer forests in the region. Four major groups of forest overstory structure were identified with some distinct fuel characteristics. These ranged from a cluster of ponderosa pine (Pinus ponderosa Douglas ex Lawson)-dominated plots with the highest density of snags, lowest live tree basal area, and lowest total ground and surface fuel biomass (mean = 90.1 Mg ha-1) to a group of giant sequoia (Sequoiadendron giganteum (Lindl.) J. Buchholz)-dominated plots with the highest live tree basal area and highest total fuel biomass (mean = 547.6 Mg ha-1). Although we found relatively weak relationships between forest characteristics and fuel loads, their inclusion in a model selection framework that also considered biophysical variables and disturbance history explained more than 80% of the observed variation in litter + fine woody debris loads. The baseline fuel conditions described here will not only inform the management of drought-impacted forests in the Sierra Nevada, but also help identify key drivers of fuel succession in a changing environment.