cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.wx9hpn
title: Occurrence Download

description: A dataset containing 3160 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "Country is Zimbabwe",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Charadrius tricollaris Vieillot, 1818"
 ]
}

 The dataset includes 3160 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0281179-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.68abax
title: Occurrence Download

description: A dataset containing 111 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Ochotona curzoniae (Hodgson, 1858)"
 ]
}

 The dataset includes 111 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0289112-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.958pe2
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Rhipidura layardi Salvadori, 1877)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0293163-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jtyq2t
title: Occurrence Download

description: A dataset containing 96 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eurythenes obesus (Chevreux, 1905)"
 ]
}

 The dataset includes 96 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067458-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11544769
title: Weather data (forecast and observation) at 48 locations in France for beginning of 2024 for Machine Learning Training

description: The data provided data are historical weather measurement and forecast at 48 locations in France and its boundary.

Measurements are inside files named MES_YYYY.csv with YYYY is the id code of the station.

The file "Station_list.csv" contains the list of the 45 locations with the id code, the name and then the latitude and longitude.

Forecasts are inside files named XXX_YYYY.csv with YYYY the id code corresponding of the location of the grid ouput close to the associated observation location.XXX is the id of the numerical forecast:    "GFS0.25-Complet" for GFS file at 0.25° resolution    "LEXIS" for WRF produced by EVEREST project using the LEXIS chain    "WRF3KM-Complet" for WRF at 3km resolution produced by NUMTECH    "WRF12KM-Complet" for WRF at 12km resolution produced by NUMTECH

Description of MES-YYYY files:- One line per measurement with hourly resolution- columns are: Date(TU),Temperature2m_degC,WindSpeed10m_m/s,WindDirection10m_m/s    Date = date of measurement in TU and format DD/MM/YYYY HH:MM    Temperature2m_degC = air temperature at 2m height in °Celsius    WindSpeed10m_m/s = wind speed at 10m height in m/s    WindDirection10m_deg = wind direction at 10m height in deg. (0 or 360 = wind from north to south, 45°=wind from east to east, ....)If measurement is not available for a specific hour for one parameter, the value "-999" is used.

The observation data gocfrom 28/01/2024 00HTU to 17/03/2024 23HTU

Description of XXX_YYYY forecast files:- One line per forecast with hourly resolution- columns are: First date run (TU),Forecast date,Temperature2m_degC,WindSpeed10m_m/s,WindDirection10m_m/s    First date run (TU) = date of start of the forecast in TU and format DD/MM/YYYY HH:MM. HH could be 00 and 12 according to the cycle of forecast start.    Forecast date = date of the forecast in TU and format DD/MM/YYYY HH:MM. HH go from 00 to 23.     Temperature2m_degC = air temperature at 2m height in °Celsius    WindSpeed10m_m/s = wind speed at 10m height in m/s    WindDirection10m_deg = wind direction at 10m height in deg. (0 or 360 = wind from north to south, 45°=wind from east to east, ....)If forecast is not available for a specific hour for one parameter, the value "-999" is used.

The forecast data go from 28/01/2024 00HTU to 17/03/2024 23HTU
DOI: 10.15468/dl.as79gm
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Material citation, Specimen, Occurrence evidence)",
 "Country is Greece",
 "OccurrenceStatus is Present",
 "TaxonKey is Clamator glandarius (Linnaeus, 1758)",
 "Year 1990-2022"
 ]
}

 The dataset's 1 records were derived from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0281178-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e7bhbj
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Hebius boulengeri (Gressitt, 1937)"
 ]
}

 The dataset includes 18 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0289103-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11544768
title: Weather data (forecast and observation) at 48 locations in France for beginning of 2024 for Machine Learning Training

description: The data provided data are historical weather measurement and forecast at 48 locations in France and its boundary.

Measurements are inside files named MES_YYYY.csv with YYYY is the id code of the station.

The file "Station_list.csv" contains the list of the 45 locations with the id code, the name and then the latitude and longitude.

Forecasts are inside files named XXX_YYYY.csv with YYYY the id code corresponding of the location of the grid ouput close to the associated observation location.XXX is the id of the numerical forecast:    "GFS0.25-Complet" for GFS file at 0.25° resolution    "LEXIS" for WRF produced by EVEREST project using the LEXIS chain    "WRF3KM-Complet" for WRF at 3km resolution produced by NUMTECH    "WRF12KM-Complet" for WRF at 12km resolution produced by NUMTECH

Description of MES-YYYY files:- One line per measurement with hourly resolution- columns are: Date(TU),Temperature2m_degC,WindSpeed10m_m/s,WindDirection10m_m/s    Date = date of measurement in TU and format DD/MM/YYYY HH:MM    Temperature2m_degC = air temperature at 2m height in °Celsius    WindSpeed10m_m/s = wind speed at 10m height in m/s    WindDirection10m_deg = wind direction at 10m height in deg. (0 or 360 = wind from north to south, 45°=wind from east to east, ....)If measurement is not available for a specific hour for one parameter, the value "-999" is used.

The observation data gocfrom 28/01/2024 00HTU to 17/03/2024 23HTU

Description of XXX_YYYY forecast files:- One line per forecast with hourly resolution- columns are: First date run (TU),Forecast date,Temperature2m_degC,WindSpeed10m_m/s,WindDirection10m_m/s    First date run (TU) = date of start of the forecast in TU and format DD/MM/YYYY HH:MM. HH could be 00 and 12 according to the cycle of forecast start.    Forecast date = date of the forecast in TU and format DD/MM/YYYY HH:MM. HH go from 00 to 23.     Temperature2m_degC = air temperature at 2m height in °Celsius    WindSpeed10m_m/s = wind speed at 10m height in m/s    WindDirection10m_deg = wind direction at 10m height in deg. (0 or 360 = wind from north to south, 45°=wind from east to east, ....)If forecast is not available for a specific hour for one parameter, the value "-999" is used.

The forecast data go from 28/01/2024 00HTU to 17/03/2024 23HTU
DOI: 10.15468/dl.vzqq8a
title: Occurrence Download

description: A dataset containing 331 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Columba sjostedti Reichenow, 1901)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 331 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0293175-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.723bje
title: Occurrence Download

description: A dataset listing the 3 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Material citation, Specimen, Occurrence evidence)",
 "Country is Greece",
 "OccurrenceStatus is Present",
 "TaxonKey is Cisticola juncidis (Rafinesque, 1810)",
 "Year 1990-2022"
 ]
}

 The dataset's 3 records were derived from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0281172-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.czjvgz
title: Occurrence Download

description: A dataset containing 103 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Viverra zibetha Linnaeus, 1758"
 ]
}

 The dataset includes 103 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0289113-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sparp3
title: Occurrence Download

description: A dataset containing 295184 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Bucephala islandica (J.F.Gmelin, 1789))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 295184 records from 87 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0293115-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12546973
title: Dataset: Aquaron Acquisition Corp. (AQUNU) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12546974
title: Dataset: Aquaron Acquisition Corp. (AQUNU) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12546976
title: Dataset: Global X Clean Water ETF (AQWA) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12546977
title: Dataset: Global X Clean Water ETF (AQWA) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12546979
title: Dataset: Accuray Incorporated (ARAY) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12546980
title: Dataset: Accuray Incorporated (ARAY) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12546981
title: Dataset: ARB IOT Group Limited (ARBB) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12546982
title: Dataset: ARB IOT Group Limited (ARBB) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12546983
title: Dataset: Arbe Robotics Ltd. (ARBE) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12546984
title: Dataset: Arbe Robotics Ltd. (ARBE) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5066/p14k4yk7
title: US Islands Conservation Data

description: A new 30 meter resolution polygon data layer of the islands of the United States, with associated attributes describing key physical and conservation geography characteristics. Islands were grouped into a three-tiered hierarchy of island provinces (12), island regions (28), and individual islands (a total of 19,023 islands were extracted). Islands were classified as estuarine vs non-estuarine, and nearshore vs. offshore.
DOI: 10.5281/zenodo.12546987
title: Dataset: Arbe Robotics Ltd. (ARBEW) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12546988
title: Dataset: Arbe Robotics Ltd. (ARBEW) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.18150/pedgtf
title: Novel short PEG chains substituted porphyrins. Synthesis, photochemistry and in vitro photodynamic activity against cancer cells

description: Experimental data collected for the preparation of the manuscript: Lazewski, D.; Kucinska, M.; Potapskiy, E.; Kuzminska, J.; Tezyk, A.; Popenda, L.; Jurga, S.; Teubert, A.; Gdaniec, Z.; Kujawski, J.; et al. Novel Short PEG Chain-Substituted Porphyrins: Synthesis, Photochemistry, and In Vitro Photodynamic Activity against Cancer Cells. Int. J. Mol. Sci.2022, 23, 10029. https://doi.org/10.3390/ijms231710029This work presents the synthesis and characterization of metal-free, zinc (II), and cobalt (II) porphyrins substituted with short PEG chains. The synthesized compounds were characterized by UV-Vis, 1H and 13C NMR spectroscopy, and MALDI-TOF mass spectrometry. The origin of the absorption bands for tested compounds in the UV-Vis range was determined using a computational model based on the electron density functional theory (DFT) and its time-dependent variant (TD-DFT). The photosensitizing activity was evaluated by measuring the ability to generate singlet oxygen (ΦΔ), which reached values up to 0.54. The photodynamic activity was tested using bladder (5637), prostate (LNCaP), and melanoma (A375) cancer cell lines. In vitro experiments clearly showed the structure–activity relationship regarding types of substituents, their positions in the phenyl ring, and the variety of central metal ions on the porphyrin core. Notably, the metal-free derivative 3 and its zinc derivative 6 exerted strong cytotoxic activity toward 5637 cells, with IC50 values of 8 and 15 nM, respectively. None of the tested compounds induced a cytotoxic effect without irradiation. In conclusion, these results highlight the potential value of the tested compounds for PDT application.
DOI: 10.5281/zenodo.12546993
title: Dataset: Argo Blockchain plc 8.75% Senior Notes due 2026 (ARBKL) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12546994
title: Dataset: Argo Blockchain plc 8.75% Senior Notes due 2026 (ARBKL) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12546989
title: Dataset: Argo Blockchain plc (ARBK) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12546990
title: Dataset: Argo Blockchain plc (ARBK) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12546995
title: Dataset: ArcBest Corporation (ARCB) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12546996
title: Dataset: ArcBest Corporation (ARCB) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.7947821
title: XRD analysis of Iberian unfired potsherds from the Late Iron Age

description: This dataset contains 11 mineralogical analyses of ceramic potsherds by powder X-ray diffraction (XRD). The samples come from the Iberian workshop of the Mas de Moreno (Teruel, Spain).

Method

The outer surfaces of all the samples were mechanically removed prior to analysis. All samples were manualy powdered in an agate mortar.

The data were collected with a D8 Advance (Bruker) diffractometer in Bragg-Brentano configuration working at 1.6 kW (40 kV, 40 mA) and equipped with a copper anode source (kα1 = 1.5406 ; the kβ ray being removed by a Ni-filter in the diffracted beam). An 8 mm anti-scattering slit was mounted in front of the LynxEye© CCD detector. The explored area covered the 3-70° (2θ) range, with an angle step of 0.02° and a time step of 2 seconds. The stability of the instrument was checked between the different series of measurements by analyzing a standard (corundum crystal, NIST 1976).

Data description

File format: Bruker raw.

The "XRD_clay_raw.zip" archive contains the raw diffractograms.

All file names start with the sample code (a code starting with "BDX" followed by a 5-digit number), followed by a capital "P" (for powder diffraction).

The "XRD_clay_raw.csv" file contains all results expressed in counts, one sample per row. The first column gives the angular position (2 thêta).
description: This study received a state financial support managed by the Agence Nationale de la Recherche (France) through the program "Investissements d'avenir" (ref. ANR-10-LABX-52).
DOI: 10.5281/zenodo.7947822
title: XRD analysis of Iberian unfired potsherds from the Late Iron Age

description: This dataset contains 11 mineralogical analyses of ceramic potsherds by powder X-ray diffraction (XRD). The samples come from the Iberian workshop of the Mas de Moreno (Teruel, Spain).

Method

The outer surfaces of all the samples were mechanically removed prior to analysis. All samples were manualy powdered in an agate mortar.

The data were collected with a D8 Advance (Bruker) diffractometer in Bragg-Brentano configuration working at 1.6 kW (40 kV, 40 mA) and equipped with a copper anode source (kα1 = 1.5406 ; the kβ ray being removed by a Ni-filter in the diffracted beam). An 8 mm anti-scattering slit was mounted in front of the LynxEye© CCD detector. The explored area covered the 3-70° (2θ) range, with an angle step of 0.02° and a time step of 2 seconds. The stability of the instrument was checked between the different series of measurements by analyzing a standard (corundum crystal, NIST 1976).

Data description

File format: Bruker raw.

The "XRD_clay_raw.zip" archive contains the raw diffractograms.

All file names start with the sample code (a code starting with "BDX" followed by a 5-digit number), followed by a capital "P" (for powder diffraction).

The "XRD_clay_raw.csv" file contains all results expressed in counts, one sample per row. The first column gives the angular position (2 thêta).
description: This study received a state financial support managed by the Agence Nationale de la Recherche (France) through the program "Investissements d'avenir" (ref. ANR-10-LABX-52).