cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.zzt5qg
title: Occurrence Download

description: A dataset containing 249376 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is one of (Canada, Mexico, United States of America)",
 "EventDate is greater than or equal to 2024-10-20",
 "EventDate is less than or equal to 2024-11-19",
 {
 "not" : {
 "Issue" : [
 "is one of (Basis of record invalid, Coordinate reprojection failed, Coordinate reprojection suspicious, Coordinate precision invalid, Coordinate uncertainty meters invalid, Country mismatch, Country invalid, Geodetic datum invalid, Presumed swapped coordinate, Presumed negated longitude, Presumed negated latitude, Country coordinate mismatch)"
 ]
 }
 }
 ]
}

 The dataset includes 249376 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015511-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jx8jj7
title: Occurrence Download

description: A dataset containing 4629 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ambystoma talpoideum (Holbrook, 1838)"
 ]
}

 The dataset includes 4629 records from 62 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015605-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vnrmxq
title: Occurrence Download

description: A dataset containing 241 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ambystoma taylori Brandon, Maruska & Rumph, 1982"
 ]
}

 The dataset includes 241 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015606-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e6ah5g
title: Occurrence Download

description: A dataset containing 7626 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ambystoma texanum (Matthes, 1855)"
 ]
}

 The dataset includes 7626 records from 75 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015607-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9g2hxb
title: Occurrence Download

description: A dataset containing 17078 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ambystoma tigrinum (Green, 1825)"
 ]
}

 The dataset includes 17078 records from 120 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015609-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.de7pjw
title: Occurrence Download

description: A dataset containing 3104 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ambystoma velasci Dugès, 1888"
 ]
}

 The dataset includes 3104 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015610-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.26f3gq
title: Occurrence Download

description: A dataset containing 96163 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "and" : [
 "Year 2004-2024",
 "GadmGid is one of (COL.11.26_2)",
 "TaxonKey is one of (Chordata)"
 ]
 }
 ]
}

 The dataset includes 96163 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015611-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eyt555
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dahlia campanulata Saar, P.D.Sørensen & Hjert."
 ]
}

 The dataset includes 29 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015613-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fvmfcd
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Geophis duellmani Smith & Holland, 1969"
 ]
}

 The dataset includes 39 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015614-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yb57wd
title: Occurrence Download

description: A dataset containing 52817 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Canis lupus Linnaeus, 1758",
 "Year 1980-2024"
 ]
}

 The dataset includes 52817 records from 278 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015612-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.62ak7m
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Levantamiento florístico en área del Proyecto GEF Corredores Biológicos de Montaña, Zona Central de Chile",
 "TaxonKey is Porlieria chilensis I.M.Johnst."
 ]
}

 The dataset includes 46 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015615-241107131044228/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.21511846
title: Hydrochemical investigation of groundwater and probabilistic health risk assessment from fluoride and iron intake in a ferruginous Barind tract

description: Hydrochemical properties of groundwater (n = 32) collected from eight Gram Panchayats (GP) in Kushmandi Block of South Dinajpur District in West Bengal, India and human health risk posed by groundwater fluoride (F<sup>−</sup>) and iron (Fe) are reported. About 18% and 28.7% of the collected water samples exceeded the permissible limits for F<sup>−</sup> and Fe, respectively, as per prescribed potable water quality standards of WHO and Bureau of Indian Standards. Total Dissolved Solid in groundwater never exceeded the acceptable limit of 500 mg l <sup>−1</sup> (maximum value was 301.6 mg l <sup>−1</sup>) while NO<sub>3</sub>- ranged from near zero to 17.8 mg l<sup>−1</sup>, never exceeding the safe limit of 45 mg l<sup>−1</sup>. Hydrogeochemical analyses revealed the dominance of Ca/Na-bicarbonate type water throughout the Block and indicated that fluorite (CaF<sub>2</sub>) could be the most prominent source of F<sup>−</sup> in groundwater. Non-carcinogenic health risk index due to exposure to F<sup>−</sup> was more than unity in infants, children and adults in the order of HQ<sub>Children</sub>&gt;HQ<sub>Infant</sub>&gt;HQ<sub>Adult</sub>. Sensitivity analysis to ascertain non-carcinogenic human health risk of F<sup>−</sup> through multi-exposure pathways undertaken by Monte Carlo (MC) simulation (Oracle Crystal Ball, version 11.1.2.4.850) indicated that concentration of F<sup>−</sup> and Fe (Ci), their ingestion rate (IR), and exposure duration (ED) were the most influential governing factors behind non-carcinogenic health risks posed by F<sup>−</sup> and Fe consumption. Groundwater was rated as having ‘Low’ irrigation water quality (Sodium Adsorption Ratio, SAR &lt;10 and Residual Sodium Carbonate, RSC of 0.41–2.88). Other important parameters of irrigation water quality, such as electrical conductivity (maximum 409 μS cm<sup>−1</sup>) and chloride (maximum 30.8 mg l<sup>−1</sup>), were also well within the recommended safe limits.
DOI: 10.6084/m9.figshare.21511846.v1
title: Hydrochemical investigation of groundwater and probabilistic health risk assessment from fluoride and iron intake in a ferruginous Barind tract

description: Hydrochemical properties of groundwater (n = 32) collected from eight Gram Panchayats (GP) in Kushmandi Block of South Dinajpur District in West Bengal, India and human health risk posed by groundwater fluoride (F<sup>−</sup>) and iron (Fe) are reported. About 18% and 28.7% of the collected water samples exceeded the permissible limits for F<sup>−</sup> and Fe, respectively, as per prescribed potable water quality standards of WHO and Bureau of Indian Standards. Total Dissolved Solid in groundwater never exceeded the acceptable limit of 500 mg l <sup>−1</sup> (maximum value was 301.6 mg l <sup>−1</sup>) while NO<sub>3</sub>- ranged from near zero to 17.8 mg l<sup>−1</sup>, never exceeding the safe limit of 45 mg l<sup>−1</sup>. Hydrogeochemical analyses revealed the dominance of Ca/Na-bicarbonate type water throughout the Block and indicated that fluorite (CaF<sub>2</sub>) could be the most prominent source of F<sup>−</sup> in groundwater. Non-carcinogenic health risk index due to exposure to F<sup>−</sup> was more than unity in infants, children and adults in the order of HQ<sub>Children</sub>&gt;HQ<sub>Infant</sub>&gt;HQ<sub>Adult</sub>. Sensitivity analysis to ascertain non-carcinogenic human health risk of F<sup>−</sup> through multi-exposure pathways undertaken by Monte Carlo (MC) simulation (Oracle Crystal Ball, version 11.1.2.4.850) indicated that concentration of F<sup>−</sup> and Fe (Ci), their ingestion rate (IR), and exposure duration (ED) were the most influential governing factors behind non-carcinogenic health risks posed by F<sup>−</sup> and Fe consumption. Groundwater was rated as having ‘Low’ irrigation water quality (Sodium Adsorption Ratio, SAR &lt;10 and Residual Sodium Carbonate, RSC of 0.41–2.88). Other important parameters of irrigation water quality, such as electrical conductivity (maximum 409 μS cm<sup>−1</sup>) and chloride (maximum 30.8 mg l<sup>−1</sup>), were also well within the recommended safe limits.
DOI: 10.5281/zenodo.14072924
title: Processed data and code for manuscript "Non-negligible impact of Stokes drift and wave-driven Eulerian currents on simulated surface particle dispersal in the Mediterranean Sea"

description: This repository contains the python code and processed data to reproduce analysis and figures from Rühs et al. (2024, Ocean Science): "Non-negligible impact of Stokes drift and wave-driven Eulerian currents on simulated surface particle dispersal in the Mediterranean Sea".

To reproduce the whole analysis, including the calculations of the trajectories, the following needs to be downloaded/included into a local working directory:



the content of this repository in respective sub-directories, i.e. code (created and maintained at https://github.com/sruehs/RuehsEtAl2024_ImpactWavesSurfaceDispersal), data-proc, figs

the original surface velocity data, to be downloaded here: https://zenodo.org/records/10879702, in an additional sub-directory named data-orig


Additionally, the OceanParcels package, available via https://github.com/OceanParcels/parcels or https://anaconda.org/conda-forge/parcels needs to be installed in the python working environment. Then, the scripts in the code directory can be executed to re-run the trajectory simulations and analysis. Alternatively, the output in forms of figures and processed data can be accesed directly in the respective sub-directories.
DOI: 10.5281/zenodo.14072925
title: Processed data and code for manuscript "Non-negligible impact of Stokes drift and wave-driven Eulerian currents on simulated surface particle dispersal in the Mediterranean Sea"

description: This repository contains the python code and processed data to reproduce analysis and figures from Rühs et al. (2024, Ocean Science): "Non-negligible impact of Stokes drift and wave-driven Eulerian currents on simulated surface particle dispersal in the Mediterranean Sea".

To reproduce the whole analysis, including the calculations of the trajectories, the following needs to be downloaded/included into a local working directory:



the content of this repository in respective sub-directories, i.e. code (created and maintained at https://github.com/sruehs/RuehsEtAl2024_ImpactWavesSurfaceDispersal), data-proc, figs

the original surface velocity data, to be downloaded here: https://zenodo.org/records/10879702, in an additional sub-directory named data-orig


Additionally, the OceanParcels package, available via https://github.com/OceanParcels/parcels or https://anaconda.org/conda-forge/parcels needs to be installed in the python working environment. Then, the scripts in the code directory can be executed to re-run the trajectory simulations and analysis. Alternatively, the output in forms of figures and processed data can be accesed directly in the respective sub-directories.
DOI: 10.5281/zenodo.14166415
title: RQI code python
DOI: 10.5281/zenodo.14166416
title: RQI code python
DOI: 10.6084/m9.figshare.27263943
title: Smart next-gen drying solution: A study of design, development and performance evaluation of IoT-enabled IR-assisted refractance window dryer

description: Refractance window drying is a technique that has great potential to dry commodities, with better quality at an affordable cost. However, there is still a lack of awareness regarding its use and implementation in academic curricula as well as in industry. This study aims to design and develop a low-cost and effective Internet of Things (IoT) enabled Infrared (IR) assisted refractance window dryer. The effect of different flexible materials used as membranes with the same thickness was also investigated. Then, experiments were conducted on papaya pulp to study the performance of the developed dryer. The drying time (reduced moisture content up to 4%) was observed for the papaya pulp sample by employing Low-density polyethylene (LDPE), Polypropylene (PP), Polytetrafluoroethylene (PTFE), White Polyethylene Terephthalate (W-PET) and Transparent polyethylene terephthalate (T-PET) material as a membrane were 300, 330, 360, 330, and 300 min respectively. After thoroughly testing membrane materials properties, it is concluded that the T-PET membrane has superior thermal, mechanical, and optical properties. After an exhaustive examination of the marketplace scrutiny, the payback period was found to be 0.55 years.
DOI: 10.6084/m9.figshare.27263943.v1
title: Smart next-gen drying solution: A study of design, development and performance evaluation of IoT-enabled IR-assisted refractance window dryer

description: Refractance window drying is a technique that has great potential to dry commodities, with better quality at an affordable cost. However, there is still a lack of awareness regarding its use and implementation in academic curricula as well as in industry. This study aims to design and develop a low-cost and effective Internet of Things (IoT) enabled Infrared (IR) assisted refractance window dryer. The effect of different flexible materials used as membranes with the same thickness was also investigated. Then, experiments were conducted on papaya pulp to study the performance of the developed dryer. The drying time (reduced moisture content up to 4%) was observed for the papaya pulp sample by employing Low-density polyethylene (LDPE), Polypropylene (PP), Polytetrafluoroethylene (PTFE), White Polyethylene Terephthalate (W-PET) and Transparent polyethylene terephthalate (T-PET) material as a membrane were 300, 330, 360, 330, and 300 min respectively. After thoroughly testing membrane materials properties, it is concluded that the T-PET membrane has superior thermal, mechanical, and optical properties. After an exhaustive examination of the marketplace scrutiny, the payback period was found to be 0.55 years.
DOI: 10.15468/dl.dphu7z
title: Occurrence Download

description: A dataset containing 110 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Amastridium sapperi (Werner, 1903)"
 ]
}

 The dataset includes 110 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015616-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26060/gay8-fa32
title: Sediment Retained
DOI: 10.26060/v157-xa56
title: NZLRI Erosion Type and Severity
DOI: 10.15468/dl.umdqxp
title: Occurrence Download

description: A dataset containing 2394 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Coniophanes fissidens (Günther, 1858)"
 ]
}

 The dataset includes 2394 records from 77 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015618-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4e46db
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Registro Flora de Cuesta Lo Prado / Cerro Bustamente / Cerro Lo Aguirre / Noviciado",
 "TaxonKey is Porlieria chilensis I.M.Johnst."
 ]
}

 The dataset includes 27 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015619-241107131044228/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.27744267
title: Data for "<b>Increasing public health impacts caused by aviation noise in China</b>"

description: The DALYs for each airline in each route from 2014 to 2019 are available in Supplementary Tables 1-6.
DOI: 10.6084/m9.figshare.27744267.v1
title: Data for "<b>Increasing public health impacts caused by aviation noise in China</b>"

description: The DALYs for each airline in each route from 2014 to 2019 are available in Supplementary Tables 1-6.
DOI: 10.15468/dl.6hxeps
title: Occurrence Download

description: A dataset containing 3138 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ambystoma californiense Gray, 1853"
 ]
}

 The dataset includes 3138 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015620-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25525/kba-asfrdown.vd1a.2015.1
title: Fahrzeugbezogene Daten zu Lastfahrten deutscher Lastkraftfahrzeuge im Jahr 2015 (Lastfahrten gegliedert nach Nutzlastklassen und Entfernungsbereich)
DOI: 10.25525/kba-asfrdown.vd1a.2016.1
title: Fahrzeugbezogene Daten zu Lastfahrten deutscher Lastkraftfahrzeuge im Jahr 2016 (Lastfahrten gegliedert nach Nutzlastklassen und Entfernungsbereich)
DOI: 10.25525/kba-asfrdown.vd1a.2017.1
title: Fahrzeugbezogene Daten zu Lastfahrten deutscher Lastkraftfahrzeuge im Jahr 2017 (Lastfahrten gegliedert nach Nutzlastklassen und Entfernungsbereich)
DOI: 10.25525/kba-asfrdown.vd1a.2018.1
title: Fahrzeugbezogene Daten zu Lastfahrten deutscher Lastkraftfahrzeuge im Jahr 2018 (Lastfahrten gegliedert nach Nutzlastklassen und Entfernungsbereich)
DOI: 10.25525/kba-asfrdown.vd1a.2019.1
title: Fahrzeugbezogene Daten zu Lastfahrten deutscher Lastkraftfahrzeuge im Jahr 2019 (Lastfahrten gegliedert nach Nutzlastklassen und Entfernungsbereich)
DOI: 10.25525/kba-asfrdown.vd1a.2020.1
title: Fahrzeugbezogene Daten zu Lastfahrten deutscher Lastkraftfahrzeuge im Jahr 2020 (Lastfahrten gegliedert nach Nutzlastklassen und Entfernungsbereich)
DOI: 10.25525/kba-asfrdown.vd1a.2021.1
title: Fahrzeugbezogene Daten zu Lastfahrten deutscher Lastkraftfahrzeuge im Jahr 2021 (Lastfahrten gegliedert nach Nutzlastklassen und Entfernungsbereich)
DOI: 10.25525/kba-asfrdown.vd1a.2023.1
title: Fahrzeugbezogene Daten zu Lastfahrten deutscher Lastkraftfahrzeuge im Jahr 2023 (Lastfahrten gegliedert nach Nutzlastklassen und Entfernungsbereich)
DOI: 10.25525/kba-asfrdown.vd1b.2015.1
title: Fahrzeugbezogene Daten zu Leerfahrten deutscher Lastkraftfahrzeuge im Jahr 2015 (Leerfahrten gegliedert nach Nutzlastklassen und Entfernungsbereich)
DOI: 10.25525/kba-asfrdown.vd1b.2016.1
title: Fahrzeugbezogene Daten zu Leerfahrten deutscher Lastkraftfahrzeuge im Jahr 2016 (Leerfahrten gegliedert nach Nutzlastklassen und Entfernungsbereich)
DOI: 10.25525/kba-asfrdown.vd1b.2017.1
title: Fahrzeugbezogene Daten zu Leerfahrten deutscher Lastkraftfahrzeuge im Jahr 2017 (Leerfahrten gegliedert nach Nutzlastklassen und Entfernungsbereich)
DOI: 10.25525/kba-asfrdown.vd1b.2018.1
title: Fahrzeugbezogene Daten zu Leerfahrten deutscher Lastkraftfahrzeuge im Jahr 2018 (Leerfahrten gegliedert nach Nutzlastklassen und Entfernungsbereich)
DOI: 10.25525/kba-asfrdown.vd1b.2019.1
title: Fahrzeugbezogene Daten zu Leerfahrten deutscher Lastkraftfahrzeuge im Jahr 2019 (Leerfahrten gegliedert nach Nutzlastklassen und Entfernungsbereich)
DOI: 10.25525/kba-asfrdown.vd1b.2020.1
title: Fahrzeugbezogene Daten zu Leerfahrten deutscher Lastkraftfahrzeuge im Jahr 2020 (Leerfahrten gegliedert nach Nutzlastklassen und Entfernungsbereich)
DOI: 10.25525/kba-asfrdown.vd1b.2021.1
title: Fahrzeugbezogene Daten zu Leerfahrten deutscher Lastkraftfahrzeuge im Jahr 2021 (Leerfahrten gegliedert nach Nutzlastklassen und Entfernungsbereich)
DOI: 10.25525/kba-asfrdown.vd1b.2023.1
title: Fahrzeugbezogene Daten zu Leerfahrten deutscher Lastkraftfahrzeuge im Jahr 2023 (Leerfahrten gegliedert nach Nutzlastklassen und Entfernungsbereich)
DOI: 10.15468/dl.ya4gkk
title: Occurrence Download

description: A dataset containing 1112 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is UTA Reptiles",
 "TaxonKey is Aspidoscelis Fitzinger, 1843"
 ]
}

 The dataset includes 1112 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015621-241107131044228/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.27726252
title: Dataset on the long-term effects of nitrogen and phosphorus fertilization on soil phosphorus availability.

description: We examined the responses of bulk soil chemical properties, enzyme activities, microbial biomass, P fractions, and cycling indices to N and P fertilization in <i>Metasequoia glyptostroboides</i> plantations under a subtropical monsoon climate. The experiment spanned 10 years and included five levels of N (0, 56, 168, 280, 336 kg ha⁻¹) and P (0, 7.8, 31, 93, 155 kg ha⁻¹) fertilization. P fertilization resulted in stronger response of available P and inorganic P fractions, such as Resin-Pi, NaHCO₃-Pi, and NaOH-Pi, compared to N fertilization. Under N fertilization, available P was mainly influenced by microbial biomass P and carbon, with NaOH-Pi being its dominant sources of supply, while both the direct and indirect effects of N fertilization on available P were minimal. In contrast, , available P under P fertilization was regulated by total P, nitrate (NO₃⁻), and organic carbon contents, with NaOH-Pi, NaOH-Po, NaHCO₃-Pi, and NaHCO₃-Po as the dominant forms. The direct effects of P addition on available P, reflected by a pathway coefficient of 0.37, slightly exceeded its indirect effects.