cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.29pk7w
title: Occurrence Download

description: A dataset containing 20075678 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Colombia"
 ]
}

 The dataset includes 20075678 records from 3788 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016506-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6073/pasta/31bb6047e0ac367c60a61884338799c4
title: Time series of high-frequency sensor data measuring water temperature, dissolved oxygen, conductivity, specific conductance, total dissolved solids, chlorophyll a, phycocyanin, fluorescent dissolved organic matter, turbidity at discrete depths, and water level in Beaverdam Reservoir, Virginia, USA in 2009-2023

description: We monitored water level and water quality in Beaverdam Reservoir (Vinton, Virginia, USA, 37.31288, -79.8159) with visual observations and high-frequency (10-minute and 15-minute) sensors in 2009-2023. All variables were measured at the deepest site of the reservoir adjacent to the dam. Beaverdam Reservoir is owned and managed by the Western Virginia Water Authority as a secondary drinking water source for Roanoke, Virginia. This data package is comprised of three datasets: 1) BVR_WaterLevel_2009_2023.csv, 2) BVRSensorString_2016_2020.csv, and 3) BVRPlatform_2020_2023.csv. 1) BVR_WaterLevel_2009_2023.csv contains water level observations of the staff gauge by both the Western Virginia Water Authority and the Virginia Tech Reservoir Group LTREB field crew. This dataset spans 2009 to 2023, with data collection still ongoing. 2) BVRSensorString_2016_2020.csv consists of a water temperature profile at ~1-meter intervals from the surface of the reservoir to 10.5 m below the water, complemented by a dissolved oxygen logger at 5 m or 10 m, depending on the time of year. A sonde measuring water temperature, conductivity, specific conductance, chlorophyll a, phycocyanin, total dissolved solids, dissolved oxygen, fluorescent dissolved organic matter, and turbidity was additionally deployed at ~1.5 m depth. This dataset spans 2016 to 2020, with no additional data collection beyond the last observation. The third dataset is BVRPlatform_2020_2023.csv, with data collection still ongoing. This dataset contains: a) a temperature string with 13 temperature sensors deployed ~1 m apart from the surface to 0.5 m above the sediments of the reservoir; b) two dissolved oxygen sensors, one in the middle of the string and one sensor above the sediments; and c) a pressure sensor just above the sediments. The same sonde from the first 2016-2020 dataset is also included in this 2020-2023 dataset, deployed at 1.5 m below the surface. The sensors on the temperature string (thermistors, dissolved oxygen sensors, and pressure sensor) are permanently fixed to the platform and do not change with the water level. In the methods, we describe how to add a depth measurement to each observation.
DOI: 10.6073/pasta/9a8d6b63ec1c0da79f174b7b861a87e6
title: Time-series of high-frequency profiles of fluorescence-based phytoplankton spectral groups in Beaverdam Reservoir, Carvins Cove Reservoir, Falling Creek Reservoir, Gatewood Reservoir, and Spring Hollow Reservoir in southwestern Virginia, USA 2014-2023

description: Depth profiles of fluorescence-based phytoplankton biomass were sampled using a bbe Moldaenke FluoroProbe during 2014 to 2023 in five drinking water reservoirs in southwestern Virginia, USA. These reservoirs are: Beaverdam Reservoir (Vinton, Virginia), Carvins Cove Reservoir (Roanoke, Virginia), Falling Creek Reservoir (Vinton, Virginia), Gatewood Reservoir (Pulaski, Virginia), and Spring Hollow Reservoir (Salem, Virginia). Beaverdam, Carvins Cove, Falling Creek, and Spring Hollow Reservoirs are owned and operated by the Western Virginia Water Authority as primary or secondary drinking water sources for Roanoke, Virginia, and Gatewood Reservoir is a drinking water source for the town of Pulaski, Virginia. The dataset consists of depth profiles of fluorescence-based phytoplankton biomass measured at the deepest site of each reservoir adjacent to the dam, except in Falling Creek Reservoir, where depth profiles were also taken at four upstream sites ranging from the riverine to the lacustrine zone during 2016-2019. Casts were taken approximately weekly from May-October and monthly from November-April. Casts were collected at Beaverdam and Falling Creek Reservoirs during all years (2014-2023); casts were collected at Carvins Cove Reservoir during 2014-2016 and 2018-2023; casts were collected at Spring Hollow Reservoir during 2014-2016 and 2019; and casts were collected at Gatewood Reservoir in 2015-2016.
DOI: 10.6073/pasta/eb17510d09e66ef79d7d54a18ca91d61
title: Secchi depth data and discrete depth profiles of water temperature, dissolved oxygen, conductivity, specific conductance, photosynthetic active radiation, redox potential, and pH for Beaverdam Reservoir, Carvins Cove Reservoir, Falling Creek Reservoir, Gatewood Reservoir, and Spring Hollow Reservoir in southwestern Virginia, USA 2013-2022

description: Discrete depth profiles of temperature, dissolved oxygen, oxidation-reduction potential, conductivity, specific conductance, and pH were collected with various handheld YSI water quality probes and discrete depth profiles of photosynthetic active radiation (PAR) were collected with a LI-COR underwater light meter from 2013 to 2022 in five drinking water reservoirs in southwestern Virginia, USA. Secchi disk depth data complement the PAR data to estimate water transparency. All YSI and PAR depth profiles were collected on approximately 1-meter intervals. These reservoirs are: Beaverdam Reservoir (Vinton, Virginia), Carvins Cove Reservoir (Roanoke, Virginia), Falling Creek Reservoir (Vinton, Virginia), Gatewood Reservoir (Pulaski, Virginia), and Spring Hollow Reservoir (Salem, Virginia). Beaverdam, Carvins Cove, Falling Creek, and Spring Hollow Reservoirs are owned and operated by the Western Virginia Water Authority as primary or secondary drinking water sources for Roanoke, Virginia, and Gatewood Reservoir is a drinking water source for the Town of Pulaski, Virginia. The data package consists of two datasets: 1) YSI and PAR profiles; and 2) Secchi depth data. The YSI and PAR depth profiles and Secchi depths were measured at the deepest site of each reservoir adjacent to the dam and other in-reservoir transects. YSI measurements were also collected at a gauged weir on the primary inflow tributary at Falling Creek, other inflows and outflows at Falling Creek, inflows and outflows at Beaverdam, and inflows at Carvins Cove. In 2021, YSI profiles were also collected from a littoral site in Beaverdam. Data were collected approximately fortnightly in the spring months (March - May), weekly in the summer and early autumn (June - September), and monthly in the late autumn and winter (October - February) in Falling Creek and Beaverdam Reservoirs; data coverage in the other three reservoirs varies among years.
DOI: 10.6073/pasta/5170b52f7514f54d834130db0efc5565
title: Time series of high-frequency profiles of depth, temperature, dissolved oxygen, conductivity, specific conductance, chlorophyll a, turbidity, pH, oxidation-reduction potential, photosynthetic active radiation, and descent rate for Beaverdam Reservoir, Carvins Cove Reservoir, Falling Creek Reservoir, Gatewood Reservoir, and Spring Hollow Reservoir in southwestern Virginia, USA 2013-2022

description: Depth profiles of temperature, dissolved oxygen, conductivity, specific conductance, chlorophyll a, and turbidity were collected with a CTD (Conductivity, Temperature, and Depth) profiler fitted with a SBE 43 Dissolved Oxygen sensor and an ECO Triplet Fluorometer and Backscattering Sensor from 2013 to 2022. From 2017-2022, pH and oxidation-reduction potential (ORP) were also collected with a SBE 27 pH and O.R.P. (redox) sensor. CTD profiles were collected in five drinking water reservoirs in southwestern Virginia, USA. All variables were measured every 0.25 seconds, resulting in depth profiles at approximately ten centimeter resolution. The five study reservoirs are: Beaverdam Reservoir (Vinton, Virginia), Carvins Cove Reservoir (Roanoke, Virginia), Falling Creek Reservoir (Vinton, Virginia), Gatewood Reservoir (Pulaski, Virginia), and Spring Hollow Reservoir (Salem, Virginia). Beaverdam, Carvins Cove, Falling Creek, and Spring Hollow Reservoirs are owned and operated by the Western Virginia Water Authority as primary or secondary drinking water sources for Roanoke, Virginia, and Gatewood Reservoir is a drinking water source for the town of Pulaski, Virginia. The dataset consists of CTD depth profiles measured at the deepest site of each reservoir adjacent to the dam as well as well as other upstream reservoir sites. The profiles were collected approximately fortnightly in the spring months, weekly in the summer and early autumn, and monthly in the late autumn and winter. Beaverdam Reservoir, Carvins Cove Reservoir, and Falling Creek Reservoir were sampled every year in the dataset (2013-2022); Spring Hollow Reservoir was not in sampled in 2018 or 2020–2022; and Gatewood Reservoir was only sampled in 2016.
DOI: 10.15468/dl.5fpn3d
title: Occurrence Download

description: A dataset containing 398 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Alternanthera philoxeroides (Mart.) Griseb."
 ]
}

 The dataset includes 398 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055464-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6073/pasta/494db56d84aa4d1da1a666105807f480
title: Crustacean and rotifer density and biomass for Beaverdam Reservoir, Falling Creek Reservoir, Carvins Cove Reservoir, Gatewood Reservoir, and Spring Hollow Reservoir in southwestern Virginia, USA 2014-2022

description: Crustacean and rotifer density and biomass were measured from 2014 to 2022 in five drinking water reservoirs in southwestern Virginia, USA. These reservoirs are: Beaverdam Reservoir (Vinton, Virginia), Falling Creek Reservoir (Vinton, Virginia), Carvins Cove Reservoir (Roanoke, Virginia), Gatewood Reservoir (Pulaski, Virginia), and Spring Hollow Reservoir (Salem, Virginia). Beaverdam, Falling Creek, Carvins Cove, and Spring Hollow Reservoirs are owned and operated by the Western Virginia Water Authority as primary or secondary drinking water sources for Roanoke, Virginia, and Gatewood Reservoir is a drinking water source for the Town of Pulaski, Virginia. The dataset consists of integrated vertical tow samples from the whole water column, just the epilimnion, and just the hypolimnion (as the difference between the full water column and epilimnion tows), as well as discrete depth measurements collected with a Schindler trap. Most samples were collected at the deepest site of each reservoir adjacent to the dam. Sampling frequency and duration varied among reservoirs and years and included weekly to monthly routine monitoring as well as intensive 24-hour sampling campaigns. In 2014-2016, zooplankton samples were collected approximately fortnightly in the spring, summer, and autumn months at Beaverdam Reservoir, Carvins Cove Reservoir, and Gatewood Reservoirs. Falling Creek Reservoir samples were collected weekly to monthly in spring and summer 2014, and Spring Hollow Reservoir samples were collected approximately fortnightly in the spring, summer, and autumn months of 2015 and 2016. In 2019, zooplankton samples were collected approximately weekly to monthly from April to November at Beaverdam Reservoir and April to September at Falling Creek Reservoir. In 2020, zooplankton samples were collected approximately weekly to monthly from May to December at Beaverdam Reservoir and June to September at Falling Creek Reservoir. In 2021 and 2022, zooplankton were collected monthly from March to December in 2021 and January to May in 2022 at Beaverdam Reservoir. Falling Creek Reservoir zooplankton samples in 2021 and 2022 were sparsely collected. During the 24-hour sampling campaigns conducted in Beaverdam Reservoir from 2019-2022, samples were collected from both the deepest pelagic site and a shallow littoral site.
DOI: 10.57841/casdc.0004474
title: 2022-2023年阿尔泰山跨境保护地油气通道干扰科考轨迹数据集
DOI: 10.15468/dl.skpqdg
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.1_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Papilio xuthus Linnaeus, 1767"
 ]
}

 The dataset includes 27 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055465-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v4banj
title: Occurrence Download

description: A dataset containing 192 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Amaranthus palmeri S.Watson"
 ]
}

 The dataset includes 192 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055466-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6073/pasta/49650b321b5c977b5e8baa92d991254b
title: Laboratory measurements of nitrous oxide production rates in agricultural soils from Lancaster, PA, estuarine sediments from the Scheldt Estuary Belgium/Netherlands, and estuarine soils from the Delaware River NJ under gradients of physicochemical perturbation

description: A set of experiments was performed to test 1) how various physicochemical perturbations (salinity, zinc, temperature, soil moisture, and pH) influenced denitrification and nitrous oxide production on short timescales (&lt;1 day) in agricultural soils from Lancaster, PA, USA, 2) how variation in a single parameter (salinity) influenced rates of denitrification and nitrous oxide production in sediments that experience a range in that parameter (tidal freshwater, oligohaline, and mesohaline estuarine sediments from the Scheldt River estuary Belgium/Netherlands) on short timescales (&lt; 1 day), and 3) how denitrification and nitrous oxide production along with key functional gene expression in tidal freshwater estuarine soils from the Delaware River, NJ, USA responded to a long-term (6 month) change in a single parameter (salinity) in a press experiment with subsequent short-term (&lt; 1 day) pulses. In the final long-term experiment, nitrite reductase (nirS) and nitrous oxide reductase (nosZ) gene expression were also measured at three timepoints (days 7, 35, and 110).
DOI: 10.6084/m9.figshare.28052240
title: A Mandibular Defect Dataset for Autonomous Reconstruction Planning in Oral and Maxillofacial Surgery

description: <b>The first</b> clinically derived Mandibular Defect Dataset, comprising <b>147</b> models of <b>various mandibular defects</b>. Each model is manually <b>annotated by experienced surgeons</b>, and all processing workflows strictly adhere to clinical standards. This dataset accurately represents the complexity of clinical defect boundaries and the diverse anatomical structures of individual patients, making it a valuable resource for <b>developing AI models</b> that exhibit improved generalizability and adaptability in <b>mandibular reconstruction</b>. Additionally, the dataset provides <b>HCL classification diagnoses</b> and relevant information for each defect model, thereby supporting more diverse clinical research in the future.
DOI: 10.6084/m9.figshare.28052240.v1
title: A Mandibular Defect Dataset for Autonomous Reconstruction Planning in Oral and Maxillofacial Surgery

description: <b>The first</b> clinically derived Mandibular Defect Dataset, comprising <b>147</b> models of <b>various mandibular defects</b>. Each model is manually <b>annotated by experienced surgeons</b>, and all processing workflows strictly adhere to clinical standards. This dataset accurately represents the complexity of clinical defect boundaries and the diverse anatomical structures of individual patients, making it a valuable resource for <b>developing AI models</b> that exhibit improved generalizability and adaptability in <b>mandibular reconstruction</b>. Additionally, the dataset provides <b>HCL classification diagnoses</b> and relevant information for each defect model, thereby supporting more diverse clinical research in the future.
DOI: 10.6084/m9.figshare.28121831
title: 49 个流量signs.xlsx

description: 包含训练所需的训练集跟测试集，还提供了包含每个类别名称及其数量的CSV格式文件。该数据集旨在为交通安全提供新方向，研究人员可以利用此数据集进行自动驾驶技术目标检测与识别，评估自动驾驶技术的安全性和可靠性。
DOI: 10.15468/dl.84hjwu
title: Occurrence Download

description: A dataset containing 296 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is Asia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Rapistrum rugosum (L.) All."
 ]
}

 The dataset includes 296 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055468-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6073/pasta/251000bc5fdcc5f11ad975295dd38774
title: Stable isotope composition (d18O) of seawater from stations in the Palmer LTER Study Site

description: The west Antarctic Peninsula (WAP) is a region of marked climatic variability, exhibiting strong changes in sea ice extent, retreat of the majority of its glaciers, and shifts in the amount and form of precipitation. These changes can have significant impacts on the oceanic freshwater budget and marine biogeochemical processes; it is thus important to ascertain the relative balance of the drivers, and the spatial scales over which they operate. We present a new 7-year summer-season (October to March; 2011 to 2018) series of oxygen isotopes in seawater (δ18O), augmented with some winter sampling, collected adjacent to Anvers Island at the WAP. These data are used to attribute oceanic freshwater changes to sea ice and meteoric sources, and to deduce information on the spatial scales over which the changes are driven. Sea ice melt shows strong seasonality (~9% range) and marked interannual changes, with pronounced maxima in seasons 2013/14 and 2016/17. Both of these extrema are driven by anomalous winds, but reflect strongly contrasting dynamic and thermodynamic sea ice responses. Meteoric water also shows marked seasonality (~7% range), with interannual variability reflecting changes in the input of accumulated precipitation and glacial melt to the ocean. Unlike sea ice melt, meteoric water extremes are especially pronounced in thin (&lt;10m) surface layers close to Marr Ice Piedmont, associated with enhanced ocean stratification. Isotopic tracers help to deconvolve the complex spatio-temporal scales inherent in the coastal freshwater budget, and hence improve knowledge of the separate and cumulative physical and ecological impacts.
DOI: 10.15468/dl.9kj59z
title: Occurrence Download

description: A dataset containing 353 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Avena ludoviciana Durieu"
 ]
}

 The dataset includes 353 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055469-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6073/pasta/89d1b199d4bdb8d82847c7f39d1018be
title: Lake Superior cyanobacterial bloom reports, 2012 - present

description: Lake Superior is a cold, oligotrophic lake. It is the largest freshwater lake in the world by surface area and the largest of the Laurentian Great Lakes with binational (United States and Canada) and multi-state (Michigan, Wisconsin, Minnesota) borders. Lake Superior is a globally important freshwater resource. Beginning in 2012, researchers and resource managers began receiving reports of cyanobacterial blooms in the western arm of the Lake. Cyanobacterial blooms have been reported nearly every year since. The purpose of this dataset is to collect observations of cyanobacterial blooms for Lake Superior and connecting waters, document patterns in their occurrence, and provide insights into their causes. For this dataset, a cyanobacterial bloom is defined as an aggregation of cyanobacterial biomass in some or all of the water column, which may lead to the occurrence of surface scums or subsurface maximums. This dataset relies on observations, data, photographs, and insights from a wide range of agency staff and individual members of the public with key input from participants in the Lake Superior Algal Bloom and Nutrient Subgroup collaboration. This dataset only includes reported blooms, and likely doesn’t include all actual bloom events. Additionally, there may be more than one report for a single bloom event, depending on its size. For example, in 2018 there was a widespread bloom event which resulted in numerous reports. Interpretation of this dataset should incorporate these nuances. Observations in the dataset were assigned one of four verification statuses to communicate the level of certainty in the cyanobacterial bloom event. Additional information on taxonomy and/or toxin analyses can be made available upon request.
DOI: 10.3886/e192087
title: Data and Code for: Equity Concerns are Narrowly Framed

description: Distributional decisions regularly involve multiple payoff components. In a
series of experiments, we show that individuals sometimes exhibit narrow equity
concerns: applying fairness preferences narrowly, on a specific component of
payoffs, rather than on broader payoff consequences. This behavior results
in different distributional decisions depending on which payoff component we
frame individuals to consider. We document narrow equity concerns in an
exceedingly simple setting—in which payoff components are tokens worth 1
cent and 2 cents—and in context-rich applications including tax policy and
worker compensation.

 
 
 <br>
description: N/A
description: Response Rates: N/A -- not survey data
description: Presence of Common Scales: N/A
description: We recruited online participants from Amazon’s Mechanical Turk (MTurk) and from Prolific. MTurk participants must reside in the United States and have an approval rating of at least 95% from at least 100 prior submissions. Prolific participants must choose the United States when asked for their nationality and have an approval rating of at least 95% from at least 100 prior submissions. <br>
description: We recruited online participants from Amazon’s Mechanical Turk (MTurk) and from Prolific. MTurk participants must reside in the United States and have an approval rating of at least 95% from at least
100 prior submissions. Prolific participants must
choose the United States when asked for their nationality and have an approval rating of at least 95%
from at least 100 prior submissions. 
 
 . Smallest Geographic Unit: United States
description: web-based survey;