cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.26023/8n8v-1pn1-ss04
title: ABLE Precipitation and IRT Data. Version 1.0

description: This data set contains land surface temperature and precipitation measurements from an Argonne National Laboratory ABLE (Atmospheric Boundary Layer Experiments) Automated Weather System (AWS) that was located in Whitewater, Kansas. Data were collected during the Cooperative Atmospheric Surface Exchange Study 1999 (CASES-99).
DOI: 10.15468/dl.52e4yr
title: Occurrence Download

description: A dataset containing 143 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gladiolus imbricatus",
 "Country is France",
 "HasCoordinate is true"
 ]
}

 The dataset includes 143 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042953-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mujes9
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gladiolus imbricatus",
 "Country is Denmark",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042952-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g6jmrq
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gladiolus imbricatus",
 "Country is Norway",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042954-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26023/bs0b-97b0-1s0x
title: ABLE Soil Temperature and Moisture Data. Version 1.0

description: This data set contains the soil temperature and moisture data from the Argonne National Laboratory ABLE (Atmospheric Boundary Layer Experiments) Automated Weather Systems (AWS) that were located in Whitewater, Kansas and Smileyberg, Kansas. Data were collected during the Cooperative Atmospheric Surface Exchange Study 1999 (CASES-99).
DOI: 10.18150/43iybo
title: Simultaneous electrochemical detection of dopamine and tryptophan using 3D goethite–spongin composites

description: The dataset includes raw data of the electrochemical measurements presented in the paper. The file name corresponds to the number of graphs in the original paper.The data include electrochemical measurements 3D goethite–spongin-modified ( 3DGS) carbon paste electrode (CPE) used for of simultaneous determination of dopamine (DA) and tryptophan (TRP).Fig1A_3DGS includes raw data for Nyquist plots for 3DGS/CPE in a solution of 0.1 M KCl containing 5 mM [Fe(CN)6]3−/4−Fig1A_CPE includes raw data for Nyquist plots for CPE in a solution of 0.1 M KCl containing 5 mM [Fe(CN)6]3−/4−Fig1B includes raw data for cyclic voltammetry (CV) of CPE and 3DGS/CPE in a solution of 0.1 M KCl containing 5 mM [Fe(CN)6]3−/4−.Fig2 includes raw data for cyclic voltammetry (CV) of CPE and 3DGS/CPE in 0.1 M phosphate buffer pH 6 in absence and presence of 80 μM DA and TRPFig3A includes raw data for differential pulse voltammetry (DPV) of 3DGS/CPE recorded in 0.1 M phosphate buffer (pH of 3–8) containing 30 μM DA and TRP at a scan rate of 0.1 V·s−1Fig4A includes raw data for cyclic voltammetry (CV) of 3DGS/CPE in 0.1 M phosphate buffer pH 6 containing 100 μM DA and TRP at different scan rates (20–350 mV·s−1)Fig5A includes raw data for differential pulse voltammetry (DPV) responses of 3DGS/CPE in 0.1 M phosphate buffer pH 6 at a scan rate of 0.1 V·s−1 Fig6A includes raw data for differential pulse voltammetry (DPV) responses of 3DGS/CPE in 0.1 M phosphate buffer pH 6 at a scan rate of 0.1 V·s−1 for simultaneous addition of different concentrations of DA (4–246 μM) and TRP (2–150 μM);Fig7A includes raw data for differential pulse voltammetry (DPV) of 3DGS/CPE in 0.1 M phosphate buffer pH 6 containing 30 μM DA and TRP at a scan rate of 0.1 V·s−1 (recorded within 30 days)Fig7B includes raw data for interference test of 30 μM DA and TRP with 100 fold of NaCl, KCl, glucose, alanine, and CaCl2Fig7C includes raw data for interference test of 30 μM DA and TRP with 30 μM of ascorbic acid (AA), uric acid (UA), and melatonin (ML)Fig8A includes raw data for differential pulse voltammetry (DPV) of 3DGS/CPE in 0.1 M phosphate buffer pH 6 containing human urine sample spiked100 μM dopamine (DA) and 50 μM tryptophan (TRP)Fig8B includes raw data for differential pulse voltammetry (DPV) of 3DGS/CPE in 0.1 M phosphate buffer pH 6 containing human urine sample spiked 50 μM dopamine (DA) tryptophan (TRP)Electrochemical analysis was conducted utilizing a PalmSens 4 electrochemical analyzer, operated by PSTrace 5.8 software (PalmSens BV, Houten, The Netherlands). The experimental details are described in the linked paper.
DOI: 10.4121/cf001058-c030-49f7-a888-0baca83a959e
title: Data underlying the study on the effects of task allocation using human’s willingness in trust and teamwork.

description: As machines’ autonomy increases, their capacity to learn and adapt to humans in collaborative scenarios increases too. In particular, machines can use artificial trust (AT) to make decisions, such as task and role allocation/selection. However, the outcome of such decisions and the way these are communicated can affect the human’s trust, which in turn affects how the human collaborates too. With the goal of maintaining mutual appropriate trust between the human and the machine in mind, we ran a user study to investigate the role of task-based willingness (e.g. human preferences on tasks) and its communication in AT-based decision-making. This user study involved the interaction with a 2D grid-world where the participants interacted and collaborated with an artificial agent. During the experiment, objective metrics were collected. Both before the experiment and after each interaction subjective metrics (through questionnaires) and answers to open questions were also collected. We share the data collected and used in our analysis in this repository.This data is used for the publication "I Know You're Capable, But Are You Willing?": Allocating Tasks in Human-Machine Teams.<br>
DOI: 10.4121/cf001058-c030-49f7-a888-0baca83a959e.v1
title: Data underlying the study on the effects of task allocation using human’s willingness in trust and teamwork.

description: As machines’ autonomy increases, their capacity to learn and adapt to humans in collaborative scenarios increases too. In particular, machines can use artificial trust (AT) to make decisions, such as task and role allocation/selection. However, the outcome of such decisions and the way these are communicated can affect the human’s trust, which in turn affects how the human collaborates too. With the goal of maintaining mutual appropriate trust between the human and the machine in mind, we ran a user study to investigate the role of task-based willingness (e.g. human preferences on tasks) and its communication in AT-based decision-making. This user study involved the interaction with a 2D grid-world where the participants interacted and collaborated with an artificial agent. During the experiment, objective metrics were collected. Both before the experiment and after each interaction subjective metrics (through questionnaires) and answers to open questions were also collected. We share the data collected and used in our analysis in this repository.This data is used for the publication "I Know You're Capable, But Are You Willing?": Allocating Tasks in Human-Machine Teams.<br>
DOI: 10.15468/dl.ptzbxg
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Iris versicolor",
 "Country is Denmark",
 "HasCoordinate is true"
 ]
}

 The dataset includes 11 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042955-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26023/bemk-10k0-6f05
title: ABLE NDVI Data. Version 1.0

description: This data set contains the Normalized difference vegetation index (NDVI) values from the Argonne National Laboratory's research initiative, ABLE (Atmospheric Boundary Layer Experiments). Data were collected via satellite NOAA-14 during the Cooperative Atmospheric Surface Exchange Study 1999 (CASES-99), and are in both ASCII text and GIF image formats.
DOI: 10.15468/dl.qqesaj
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Iris versicolor",
 "Country is Netherlands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042957-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hb5khj
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Iris versicolor",
 "Country is France",
 "HasCoordinate is true"
 ]
}

 The dataset includes 11 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042956-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/hk2444
title: Flora and fauna surveys in Limpopo (South Africa) during 2015

description: Pachnoda Consulting CC was requested by BECS Environmental (Pty) Ltd to provide an ecological evaluation inside and/or around Imerys sites in Limpopo Province. The phytosociological and faunal attributes of the study site were investigated during 23 - 27 February 2015. For flora : Data collection was primarily plot-based and consisted of 32 vegetation samples ; the plot size was standardised at approximately 100 m2 ; the species composition, as well as the mean percentage cover of each species per sampling plot was measured ; in addition, ad hoc transect walks were conducted. Mammals were identified by visual sightings during ad hoc transect walks, also identified by means of spoor, droppings, roosting sites or likely habitat types; also augmented by a four-day (five-night) trapping session (20 small mammal traps ‘Sherman Trap’ baited), plus remote infrared wildlife (trail) cameras (baited camera traps) and ad hoc nocturnal. Birds were identified by means of random transect walks, 33 point counts (randomly chosen and were approximately 200 m apart, counts lasted 10 min per point) and by means of their calls and other signs such as nests, discarded egg shells and feathers. Lepidoptera, Scorpions & Odonata were surveyed by means of a standard handnet, close-focussing binoculars, hand searching (e.g. lifting rocks) and nocturnal surveys using an ultra-violet torch. Herpetofauna : possible burrows, or likely reptile habitat were inspected for any inhabitant; amphibians were also identified by their vocalisations, but the herpetofaunal assessment focussed largely on a desktop review.
DOI: 10.26023/4k61-k5gf-00r
title: New York State Mesonet Surface Meteorological Data for IMPACTS_2022. Version 1.0

description: Surface meteorological data at five minute temporal resolution from the weather stations that comprise the New York State Mesonet. Data are available in either NetCDF format for the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms 2022 (IMPACTS 2022) campaign.
DOI: 10.5281/zenodo.17256516
title: Dataset of bumblebee removal by Kumano

description: Dataset of bumblebee removal by Kumano
DOI: 10.5281/zenodo.17256517
title: Dataset of bumblebee removal by Kumano

description: Dataset of bumblebee removal by Kumano
DOI: 10.15468/dl.f3jrsm
title: Occurrence Download

description: A dataset containing 216 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Iris versicolor",
 "Country is Sweden",
 "HasCoordinate is true"
 ]
}

 The dataset includes 216 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042958-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d6p68c
title: Occurrence Download

description: A dataset containing 186 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Iris versicolor",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 186 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042959-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26023/7krc-fhk4-4h0s
title: New York State Mesonet MWR and Doppler Lidar Data for IMPACTS_2022. Version 1.0

description: Vertical profiles of wind, temperature, and moisture at 10 minute temporal resolution from the 17 profiling stations of the New York State Mesonet. The wind profiles are from scanning Doppler Lidars and the temperature and moisture profiles are from microwave radiometers (MWR). Data are available in NetCDF format for the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms 2022 (IMPACTS 2022) campaign.
DOI: 10.26023/c5rp-ajck-mw11
title: Ozone Dual Beam UV Photometer. Version 1.0

description: This dataset contains ozone volume mixing ratio as measured by the Ozone Dual-Beam UV Photometer aboard the G-V during PACDEX. Measurements were taken for flight RF07-RF14 spanning the time period May 13-25, 2007. There is one file per flight.
DOI: 10.15468/dl.mhmpcb
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Erythronium americanum",
 "Country is Denmark",
 "HasCoordinate is true"
 ]
}

 The dataset includes 8 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042960-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17897/g5ws-0w04
title: ClimateBasis Zackenberg - Air temperature - Air temperature, 200cm @ 60/30min sample (°C)

description: Air temperature measured on two proximal climate stations at 200 cm above ground as a 30min (before 2014 - 60min) sample (°C). The double masted climate station is located north of the station at 44 m a.s.l.. The timeseries starts in 2009. Quality control is performed on both datasets from the double mast system. The combined time series is calculated as an average of the 2 sensors, or if data is missing from 1 sensor the other used in conjunction with a regression. Please read the metadata file provided with the data for comments related to the data in this timeseries. Air temperature:Air temperature ClimateBasis Zackenberg:The ClimateBasis programme monitors climate and hydrology in Zackenberg, Kobbefjord and Disko (Qeqertarsuaq) and is run by Asiaq - Greenland Survey. The collected data build base-line information on climate variability and trends for all the other sub-programmes within GEM and serve as a trustworthy foundation for adaptation strategies for the Greenlandic society. The stations are embedded in Asiaq’s extensive climate and hydrology monitoring network. Furthermore, the run-off data is delivered to the World Hydrological Cycle Observing System (WHYCOS) and the Global Runoff Data Centre (GRDC) networks.
DOI: 10.17897/9v7j-z845
title: ClimateBasis Zackenberg - Air temperature - Air temperature, 750cm @ 60/30min sample (°C)

description: Air temperature measured on two proximal climate stations at 750 cm above ground as a 30min (before 2024 - 60min) sample (%). The double masted climate station is located north of the station at 44 m a.s.l.. The timeseries starts in 1995. Quality control is performed on both datasets from the double mast system. The combined time series is calculated as an average of the 2 sensors, or if data is missing from 1 sensor the other used in conjunction with a regression. Please read the metadata file provided with the data for comments related to the data in this timeseries. Air temperature:Air temperature ClimateBasis Zackenberg:The ClimateBasis programme monitors climate and hydrology in Zackenberg, Kobbefjord and Disko (Qeqertarsuaq) and is run by Asiaq - Greenland Survey. The collected data build base-line information on climate variability and trends for all the other sub-programmes within GEM and serve as a trustworthy foundation for adaptation strategies for the Greenlandic society. The stations are embedded in Asiaq’s extensive climate and hydrology monitoring network. Furthermore, the run-off data is delivered to the World Hydrological Cycle Observing System (WHYCOS) and the Global Runoff Data Centre (GRDC) networks.
DOI: 10.17897/cshm-r138
title: ClimateBasis Zackenberg - Humidity - Relative humidity @ 200cm - 60/30min sample (%)

description: Relative humidity measured on two proximal climate stations at 200 cm above ground as a 30min (before 2014 - 60min) sample (%). The double masted climate station is located north of the station at 44 m a.s.l.. The timeseries starts in 1995. Quality control is performed on both datasets from the double mast system. The combined time series is calculated as an average of the 2 sensors, or if data is missing from 1 sensor the other used in conjunction with a regression. Please read the metadata file provided with the data for comments related to the data in this timeseries. Humidity:Humidity ClimateBasis Zackenberg:The ClimateBasis programme monitors climate and hydrology in Zackenberg, Kobbefjord and Disko (Qeqertarsuaq) and is run by Asiaq - Greenland Survey. The collected data build base-line information on climate variability and trends for all the other sub-programmes within GEM and serve as a trustworthy foundation for adaptation strategies for the Greenlandic society. The stations are embedded in Asiaq’s extensive climate and hydrology monitoring network. Furthermore, the run-off data is delivered to the World Hydrological Cycle Observing System (WHYCOS) and the Global Runoff Data Centre (GRDC) networks.
DOI: 10.17897/kvvq-be46
title: ClimateBasis Zackenberg - Precipitation - Precipitation accumulated - 60min (mm)

description: Precipitation, sampled once per hour from an accumulating gauge and converted into an hourly rate. Any phase (liquid or solid) is captured to the extent possible and given as liquid water equivalent. Antifreeze and oil is added to the gauges to limit freezing or evaporation of the bucket contents. Note that the data series has not been corrected for the efficiency of the precipitation gauge in catching precipitation, so called undercatch. This is known to be particulay problematic during high winds, and snow fall. Sensor model changes: 1995-08-17: Belfort 5915, unshielded; 2014-06-10 11:00: Pluvio2, shielded. Data Comments: 1995-08-17 The belfort sensor suffered from freezing of the spring mechanism due to water invasion. This resulted in bucket weight increases due to individual events being registered as a single event once the device thawed. This is clear to see in the data. No attempt has been made to redistribute these single large events back to the correct time stamps. It is recommended to study the time series together with snow depth and temperature to understand when these events occurred. In addition, it is recommended to consider the hydrological year for annual precipitation totals to ensure winter precipitation is attributed to the correct year. The Belfort sensor did not have a wind shield and therefore is likely to have a higher undercatch (less efficient at catching the precipitation) than the Pluvio sensors used from 2014.; 2014-06-10 The hourly rainfall rates are derived from the raw bucket weight of the OTT Pluvio2 gauge by applying the 'neutral aggregating filter' (Smith et al. 2019). Reprocessing of the data in 04/2025 led to changes in the data in the period 1995-08-17 - 2014-06-10. Precipitation:Precipitation ClimateBasis Zackenberg:The ClimateBasis programme monitors climate and hydrology in Zackenberg, Kobbefjord and Disko (Qeqertarsuaq) and is run by Asiaq - Greenland Survey. The collected data build base-line information on climate variability and trends for all the other sub-programmes within GEM and serve as a trustworthy foundation for adaptation strategies for the Greenlandic society. The stations are embedded in Asiaq’s extensive climate and hydrology monitoring network. Furthermore, the run-off data is delivered to the World Hydrological Cycle Observing System (WHYCOS) and the Global Runoff Data Centre (GRDC) networks.
DOI: 10.17897/7rvv-z412
title: ClimateBasis Zackenberg - Precipitation - Snow depth - 180min sample (m)

description: Snow depth measured on two proximal climate stations as a 3min average every 3 hours (m). The double masted climate station is located north of the station at 44 m a.s.l.. The timeseries starts in 1997. Quality control is performed on both datasets from the double mast system. The combined time series is calculated as an average of the 2 sensors, or if data is missing from 1 sensor the other used in conjunction with a regression. Please read the metadata file provided with the data for comments related to the data in this timeseries. Precipitation:Precipitation ClimateBasis Zackenberg:The ClimateBasis programme monitors climate and hydrology in Zackenberg, Kobbefjord and Disko (Qeqertarsuaq) and is run by Asiaq - Greenland Survey. The collected data build base-line information on climate variability and trends for all the other sub-programmes within GEM and serve as a trustworthy foundation for adaptation strategies for the Greenlandic society. The stations are embedded in Asiaq’s extensive climate and hydrology monitoring network. Furthermore, the run-off data is delivered to the World Hydrological Cycle Observing System (WHYCOS) and the Global Runoff Data Centre (GRDC) networks.
DOI: 10.17897/wg9v-3j16
title: ClimateBasis Zackenberg - Pressure - Air pressure @ 200cm - 60min sample (hPa)

description: Air pressure measured on two proximal climate stations at 200 cm above ground as a 60min sample (hPa). The double masted climate station is located north of the station at 44 m a.s.l.. The timeseries starts in 1995. Quality control is performed on both datasets from the double mast system. The combined time series is calculated as an average of the 2 sensors, or if data is missing from 1 sensor the other used in conjunction with a regression. Please read the metadata file provided with the data for comments related to the data in this timeseries. Pressure:Pressure ClimateBasis Zackenberg:The ClimateBasis programme monitors climate and hydrology in Zackenberg, Kobbefjord and Disko (Qeqertarsuaq) and is run by Asiaq - Greenland Survey. The collected data build base-line information on climate variability and trends for all the other sub-programmes within GEM and serve as a trustworthy foundation for adaptation strategies for the Greenlandic society. The stations are embedded in Asiaq’s extensive climate and hydrology monitoring network. Furthermore, the run-off data is delivered to the World Hydrological Cycle Observing System (WHYCOS) and the Global Runoff Data Centre (GRDC) networks.