cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.ch6cuv
title: Occurrence Download

description: A dataset containing 1709 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Rhinella marina (Linnaeus, 1758), Duttaphrynus melanostictus (Schneider, 1799), Lithobates catesbeianus (Shaw, 1802), Xenopus laevis (Daudin, 1802), Chrysemys picta (Schneider, 1783), Pantherophis guttatus (Linnaeus, 1766), Lampropeltis getula (Linnaeus, 1766), Pseudemys peninsularis Carr, 1938, Python regius (Shaw, 1802), Trachemys scripta (Thunberg In Schoepff, 1792), Varanus exanthematicus (Bosc, 1792))",
 "HasCoordinate is true",
 "Country is Spain",
 "EventDate is not null",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is MANAGED"
 ]
 }
 },
 {
 "not" : {
 "EstablishmentMeans" : [
 "is not null"
 ]
 }
 }
 ]
 },
 {
 "or" : [
 {
 "not" : {
 "BasisOfRecord" : [
 "is Living Specimen"
 ]
 }
 },
 {
 "not" : {
 "BasisOfRecord" : [
 "is not null"
 ]
 }
 }
 ]
 },
 {
 "or" : [
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "not" : {
 "BasisOfRecord" : [
 "is not null"
 ]
 }
 }
 ]
 },
 "Geometry POLYGON ((0.41748 40.446947, 1.043701 40.697299, 1.07666 41.004775, 2.219238 41.261291, 3.284912 41.836828, 3.240967 42.544987, 0.516357 42.932296, 0.527344 42.024814, 0.076904 40.971604, 0.131836 40.555548, 0.41748 40.446947))"
 ]
}

 The dataset includes 1709 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062056-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.td3sta
title: Occurrence Download

description: A dataset containing 2299 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Laminaria ochroleuca Bachelot de la Pylaie, 1824"
 ]
}

 The dataset includes 2299 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062057-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18709/perscido.2025.01.ds416
title: Thermochronology of the Maures-Tanneron crystalline basement: Insights for SW Europe Triassic to Miocene tectonic history.

description: Data used in the thermochronological modelling from the Paper Boschetti et al.,
DOI: 10.15468/dl.t6ezxr
title: Occurrence Download

description: A dataset containing 97 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Uncaria attenuata Korth."
 ]
}

 The dataset includes 97 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062059-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8fe3aj
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Astragalus membranaceus var. mongholicus (Bunge) P.K.Hsiao"
 ]
}

 The dataset includes 23 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062060-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28016792.v1
title: Perception of smart technology adoption 385_data.xlsx

description: This study assesses individuals' perceptions of smart technology adoption in preventive healthcare.
DOI: 10.5281/zenodo.14619952
title: Water Vapor Band SIF Retrieval Simulated Data and Chinaspec Spectral Data from the DM Station, China (2021)

description: 有关数据的详细说明,请参阅用户指南。
DOI: 10.5281/zenodo.14619953
title: Water Vapor Band SIF Retrieval Simulated Data and Chinaspec Spectral Data from the DM Station, China (2021)

description: 有关数据的详细说明,请参阅用户指南。
DOI: 10.5281/zenodo.14613781
title: Underlying Causes of Long-Term Environmental Pollution by Waste from an Abandoned Metal Mining District: When Legislative and Remediation Measures Are Ineffective

description: Data set associated with the published article entitled:  Underlying Causes of Long-Term Environmental Pollution by Waste from an Abandoned Metal Mining District: When Legislative and Remediation Measures Are Ineffective
DOI: 10.5281/zenodo.14613782
title: Underlying Causes of Long-Term Environmental Pollution by Waste from an Abandoned Metal Mining District: When Legislative and Remediation Measures Are Ineffective

description: Data set associated with the published article entitled:  Underlying Causes of Long-Term Environmental Pollution by Waste from an Abandoned Metal Mining District: When Legislative and Remediation Measures Are Ineffective
DOI: 10.6084/m9.figshare.25524085
title: Data and code for "<b>Abiotic and biotic factors jointly shape distributions of N-fixing plants in Chinese grasslands</b>"

description: Data and code for "<b>Abiotic and biotic factors jointly shape distributions of N-fixing plants in Chinese grasslands</b>";READMERio4_biomass N-fixing plant biomass%, the biomass of N-fixing plants as proportions of total biomass %LON Longitude °ELAT Latitude °NALT Altitude mMAT Mean annual temperature °CMAP Mean annual precipitation mmSoil_PC1 the The first principal component of the measured soil fertility (i.e., soil ammonium, nitrate N, total carbon, N and phosphorus, water content, pH)CWMDiff Hm The directional differences in maximum adult height between N-fixing and non-fixing plants cmCWMDiff LA The directional differences in leaf area between N-fixing and non-fixing plants cm<sup>2</sup>CWMDist Hm The absolute distances in maximum adult height and leaf area between N-fixing and non-fixing plants cmCWMDist LA The absolute distances in leaf area between N-fixing and non-fixing plants cm<sup>2</sup><br><br>
DOI: 10.6084/m9.figshare.25524085.v1
title: Data and code for "<b>Abiotic and biotic factors jointly shape distributions of N-fixing plants in Chinese grasslands</b>"

description: Data and code for "<b>Abiotic and biotic factors jointly shape distributions of N-fixing plants in Chinese grasslands</b>";READMERio4_biomass N-fixing plant biomass%, the biomass of N-fixing plants as proportions of total biomass %LON Longitude °ELAT Latitude °NALT Altitude mMAT Mean annual temperature °CMAP Mean annual precipitation mmSoil_PC1 the The first principal component of the measured soil fertility (i.e., soil ammonium, nitrate N, total carbon, N and phosphorus, water content, pH)CWMDiff Hm The directional differences in maximum adult height between N-fixing and non-fixing plants cmCWMDiff LA The directional differences in leaf area between N-fixing and non-fixing plants cm<sup>2</sup>CWMDist Hm The absolute distances in maximum adult height and leaf area between N-fixing and non-fixing plants cmCWMDist LA The absolute distances in leaf area between N-fixing and non-fixing plants cm<sup>2</sup><br><br>
DOI: 10.15161/oar.it/76969
title: Carta Geologica d'Italia alla scala 1:50.000, F. 374 Roma

description: Foglio geologico alla scala 1:50.000 basato su rilevamenti alla scala 1:10.000 (eseguiti tra il 1998 e il 2001) comprensivo di legenda, schemi a cornice, sezioni geologiche.
DOI: 10.15161/oar.it/76970
title: Carta Geologica d'Italia alla scala 1:50.000, F. 374 Roma

description: Foglio geologico alla scala 1:50.000 basato su rilevamenti alla scala 1:10.000 (eseguiti tra il 1998 e il 2001) comprensivo di legenda, schemi a cornice, sezioni geologiche.
DOI: 10.15468/dl.h32nqu
title: Occurrence Download

description: A dataset containing 1098 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Ulmus pumila L."
 ]
}

 The dataset includes 1098 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062062-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vrqysw
title: Occurrence Download

description: A dataset containing 530 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Schizostachyum brachycladum (Kurz ex Munro) Kurz"
 ]
}

 The dataset includes 530 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062063-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/ka658u
title: InfoFaunaFVG monitoring and surveillance network

description: The Department of Agricultural, Food, Environmental and Animal Sciences (DI4A) at the University of Udine, in collaboration with Friuli Venezia Giulia regional authorities, within northeastern Italy, set up a wildlife monitoring and surveillance regional network, named InfoFaunaFVG. InfoFaunaFVG is a progressive web application (PWA) allows the recording of consistent, accurate and traceable data regarding wildlife, with particular reference to debilitated and/or compromised or dead animals (https://doi.org/10.1007/s10344-023-01664-4). InfoFaunaFVG has been regularly used by approximately 300 different users, including veterinarians, forestry guards, veterinary technicians and specialized personnel in animal rescue belonging to 16 different institutions.
DOI: 10.15468/dl.4eejmt
title: Occurrence Download

description: A dataset containing 9254 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Arctic Marine Fish Museum Specimens"
 ]
}

 The dataset includes 9254 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062064-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.25041248.v2
title: Data and code for "<b>Fencing increases foliar fungal diseases in grasslands: potential mechanisms and precipitation-dependence</b>"

description: Data and code for "<b>Fencing increases foliar fungal diseases in grasslands: potential mechanisms and precipitation-dependence</b>"
DOI: 10.1285/i15900932v41n1p69
title: A note on the Formanek Weingarten function

description: The aim of this note is to compare work of Formanek [7] on a certain construction of central polynomials with that of Collins [3] on integration on unitary groups. These two quite disjoint topics share the construction of the same function on the symmetric group, which the second author calls Weingarten function. By joining these two approaches we succeed in giving a simplified and very natural presentation of both Formanek and Collins's Theory.
DOI: 10.22003/xfel.eu-data-002620-00
title: Sequential core ionization-core excitation in water: dynamical aspects
DOI: 10.5066/p1kes7f4
title: Geospatial database of the 2022 summit and Northeast Rift Zone eruption of Mauna Loa volcano, Hawai'i

description: In the late evening of November 27, 2022, an effusive eruption began inside Moku'aweoweo caldera at the summit of Mauna Loa volcano. Within a few hours, lava had covered most of the caldera floor, and several fissures just outside caldera sent short lava flows up to 3 kilometers (2 miles) to the southwest. Later in the morning of November 28, summit effusion ceased and the eruption moved into the volcano's Northeast Rift Zone. Several rift zone fissures were initially active, but by November 30 effusion had focused at a vent known as fissure 3. For another 10 days, fissure 3 fountained and fed lava flows that eventually stretched 18 kilometers (11 miles) to the north, threatening but not reaching the Daniel K. Inouye Highway across the island's interior. Effusion from fissure 3 began declining overnight December 7–8 and ceased on December 10, by which time the eruption had covered approximately 36 square kilometers (14 square miles) of Mauna Loa with new lava. In this report, the authors have sought to chronicle this sequence of events using geospatial data in the form of an Esri file geodatabase, Esri shapefiles, and Google Earth KMZs, as well as rapid-response orthomosaic and thermal map rasters.
DOI: 10.5281/zenodo.10790915
title: Measurements of Neutron Monitor at Lomnicky Stit

description: The continuous data sets of Neutron Monitor measurements at Lomnicky Stit (LMKS) in Slovakia:



from December 1981 to July 2023 in hourly resolution

from January 2001 to July 2023 in minute resolution


The measurements have been operated by the Institute of Experimental Physics, Slovak Academy of Sciences.
DOI: 10.5281/zenodo.7388332
title: Data set. Testing Protest Paradigm in Femicide Protests in Mexican Press

description: his Data set consist of the coding of 865 articles from national Mexican newspapers, from El Universal, Reforma, and Excélsior. It is corresponding to research that analyzes the representation of the protests against femicide in the Mexican press, and the opportunities reached by the social movement in the public discourse. Previous studies found a tendency for negative representations of social movements in the media in the so-called ‘protest paradigm’, this means that the attention obtained does not necessarily guarantee the reproduction of the movement’s discourse. We use the paradigm approach and test the degree of adherence. It registered media attention to the femicide issue for a period of 41 months in three national newspapers. The corpus was examined by using the qualitative content analysis technique, with variables that measure the stories’ emphasis, prominence, legitimation, and tone for social movements and authorities, to compare the two actors.
DOI: 10.5281/zenodo.7915527
title: Data from: Rates and drivers of carbon emissions from hydropower reservoirs in the southeastern United States

description: Reservoirs are a significant source of atmospheric carbon (C), but their emission rates vary in space and time. Here, we compared C emissions via diffusion, ebullition, and degassing pathways for six large hydropower reservoirs in the southeastern US that were previously sampled in summer 2012. We revisited the same stations and used a similar methodology to assess which emissions pathways were dominant during the two times. While recent models have suggested that degassing could be a dominant pathway, in these reservoirs, the contribution of degassing to total emissions was low, typically &lt; 5%. Instead, we found that CO<sub>2</sub> diffusion was the dominant emissions pathway in 2022. All six reservoirs were CO<sub>2</sub> sources in the summer of 2012, but sinks in the summer of 2022. Next, we explored drivers of spatial variation and found relationships associating indicators of greater algal production with lower CO<sub>2</sub> but higher CH<sub>4</sub> emissions. Finally, to explore drivers of temporal variability, we sampled one reservoir during three drawdown phases (full summer pool, mid-drawdown, and winter pool). Temporal variation in CO<sub>2</sub> diffusion rates paired with seasonal productivity patterns, and we found that lower water levels associated with lower hydrostatic pressure and reduced distance for oxidation resulted in the highest CH<sub>4</sub> emissions rates. Our results demonstrate that important regional differences are not yet reflected in efforts to produce C emissions estimates for reservoirs globally. Measuring C emissions from multiple pathways and understanding their spatial and temporal responses and variability is vital to reducing uncertainties in global upscaling efforts.
DOI: 10.6073/pasta/43d3d401af88cc05c6595962bdb1ab5c
title: North Temperate Lakes LTER: Phytoplankton - Madison Lakes Area 1995 - current

description: Phytoplankton samples for the 4 southern Wisconsin LTER lakes (Mendota, Monona, Wingra, Fish) have been collected for analysis by LTER since 1995 (1996 Wingra, Fish) when the southern Wisconsin lakes were added to the North Temperate Lakes LTER project. Samples are collected as a composite whole-water sample and are preserved in gluteraldehyde. Composite sample depths are 0-8 meters for Lake Mendota (to conform to samples collected and analyzed since 1990 for a UW/DNR food web research study), and 0-2 meters for the other three lakes. A tube sampler is used for the 0-8 m Lake Mendota samples; samples for the other lakes are obtained by collecting water at 1-meter intervals using a Kemmerer water sampler and compositing the samples in a bucket. Samples are taken in the deep hole region of each lake at the same time and location as other limnological sampling. Phytoplankton samples are analyzed by PhycoTech, Inc., a private lab specializing in phytoplankton analyses (see data protocol for procedures). Samples for Wingra and Fish lakes are archived but not routinely counted. Permanent slide mounts (3 per sample) are prepared for all analyzed Mendota and Monona samples as well as 6 samples per year for Wingra and Fish; the slide mounts are archived at the University of Wisconsin - Madison Zoology Museum. Phytoplankton are identified to species using an inverted microscope (Utermohl technique) and are reported as natural unit (i.e., colonies, filaments, or single cells) densities per mL, cell densities per mL, and algal biovolume densities per mL. Multiple entries for the same species on the same date may be due to different variants or vegetative states - (e.g., colonial or attached vs. free cell.) Biovolumes for individual cells of each species are determined during the counting procedure by obtaining cell measurements needed to calculate volumes for geometric solids (e.g., cylinders, spheres, truncated cones) corresponding to actual cell shapes. Biovolume concentrations are then computed by mulitplying the average cell biovolume by the cell densities in the water sample. Note that one million cubicMicrometers of biovolume PerMilliliter of water are equal to a biovolume concentration of one cubicMillimeterPerMilliliter. Assuming a cell density equal to water, a cubicMillimeterPerMilliliter of biovolume converts to a biomass concentration of one milligramPerLiter. Sampling Frequency: bi-weekly during ice-free season from late March or early April through early September, then every 4 weeks through late November; sampling is conducted usually once during the winter (depending on ice conditions). Number of sites: 4 Several taxonomic updates have been made to this dataset February 2013, see methods for details.
DOI: 10.6073/pasta/5f15bf453851987fc030b2f07a110b21
title: Lake Mendota Multiparameter Sonde Profiles: 2017 - current

description: Intermittent sensor profiling at the deep hole of Lake Mendota began in 2017 with a YSI EXO2 multiparameter sonde. Parameters include water temperature, pH, specific conductivity, dissolved oxygen, chlorophyll, phycocyanin, turbidity, and fDOM. Profiles are nominally 0 - 20 meters in depth in one meter increments, although the depth range and increments vary.
DOI: 10.6073/pasta/69b3391e13955392587413ecbfc7c298
title: North Temperate Lakes LTER: Ice Duration - Madison Lakes Area 1853 - current

description: Data include dates of freeze-up, thaw, and ice duration of three primary lakes in the Madison area (Lake Mendota, Lake Monona, and Lake Wingra). Data are obtained from the State Climatologist. For Monona and Wingra, the freeze date (ice on) is defined as the first date on which the water body is observed to be completely ice covered, and the breakup date (ice off) is the date of the last breakup observed before the open water phase. Ice duration is the number of days that a water body is completely covered with ice and excludes any period during which the lake thawed in mid-winter before freezing again. For Mendota, duration is calculated in the same manner, but ice on and ice off dates are assigned as follows: The lake is deemed frozen if it has solid ice from Picnic Point to Maple Bluff and total ice cover is greater than 50 %. The lake is deemed open if it is ice-free from Picnic Point to Maple Bluff and total ice cover is less than 50%. Sampling Frequency: annually. Number of sites: 3.
DOI: 10.6073/pasta/8ceff296ad68fa8da6787076e0a5d992
title: North Temperate Lakes LTER: High Frequency Water Temperature Data - Lake Mendota Buoy 2006 - current

description: The instrumented buoy on Lake Mendota is equipped with a thermistor chain that measures water temperature. In 2006, the thermistors were placed every 0.5m from the surface through 7m and every 1m from 7m to 15m. In 2007and 2008, the thermistors were placed every 0.5 m from the surface through 2m and every 1m from 2m to 20m. The sensor at the water surface is as close to the surface as feasible. The sensor housing itself is ~5cm long, so we have it at about 1 to 6cm deep.The Lake Mendota buoy is also equipped with a dissolved oxygen sensor and meteorological sensors that provide fundamental information on lake thermal structure, weather conditions, and lake metabolism. Data are collected every minute. After correcting for flux to or from the atmosphere and vertical mixing within the water column, high frequency measurements of dissolved gases such as carbon dioxide and oxygen can be used to estimate gross primary productivity, respiration, and net ecosystem productivity, the basic components of whole lake metabolism. Hourly and daily water temperature averages are computed from high resolution (1 minute) data. Hourly and daily values may not be current with high resolution data. Deployment dates: 2006: June 27-Oct 17; 2007: May 18-Oct 22; 2008: June 26-Nov 4; 2009: April 17-Nov 23; 2010: April 9-Nov 10; 2011: May 19-Nov 11; 2012: April 30-Nov 30; 2013: April 27-Oct 27; 2014: May 4-Oct 12; 2015: June 25-Sept 1; 2016: March 29-Dec 12; 2017: April 23 - Nov 13; 2018: April 11-Nov 15; 2019: April 16-Nov 11 Sampling Frequency: one minute. Number of sites: 1