cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5819169
title: Personalized Psychiatry and Depression: The Role of Sociodemographic and Clinical Variables

description: Personalized Psychiatry and Depression:<br> The Role of Sociodemographic and Clinical Variables Despite several pharmacological options, the clinical outcomes of major depressive disorder (MDD) are often unsatisfactory. Personalized<br> psychiatry attempts to tailor therapeutic interventions according to each patient’s unique profile and characteristics. This approach<br> can be a crucial strategy in improving pharmacological outcomes in MDD and overcoming trial-and-error treatment choices. In this<br> narrative review, we evaluate whether sociodemographic (i.e., gender, age, race/ethnicity, and socioeconomic status) and clinical [i.e.,<br> body mass index (BMI), severity of depressive symptoms, and symptom profiles] variables that are easily assessable in clinical practice<br> may help clinicians to optimize the selection of antidepressant treatment for each patient with MDD at the early stages of the disorder.<br> We found that several variables were associated with poorer outcomes for all antidepressants. However, only preliminary associations<br> were found between some clinical variables (i.e., BMI, anhedonia, and MDD with melancholic/atypical features) and possible benefits<br> with some specific antidepressants. Finally, in clinical practice, the assessment of sociodemographic and clinical variables considered in<br> our review can be valuable for early identification of depressed individuals at high risk for poor responses to antidepressants, but there<br> are not enough data on which to ground any reliable selection of specific antidepressant class or compounds. Recent advances in computational<br> resources, such as machine learning techniques, which are able to integrate multiple potential predictors, such as individual/<br> clinical variables, biomarkers, and genetic factors, may offer future reliable tools to guide personalized antidepressant choice for each patient<br> with MDD.
DOI: 10.20383/102.0456
title: SuperDARN 2006 RAWACF/DAT

description: SuperDARN RAWACF/DAT files for the calendar year 2006. INSTRUMENT INFORMATION AND RULES OF THE ROAD: *** Before downloading and using the data, make sure to read the README file in the top directory of this collection. *** SuperDARN is an international collaboration operating high frequency (HF) radars deployed in the northern and southern hemispheres to measure ionospheric plasma circulation. Each partner institution secures funding and manages operations for their own facilities. The continued availability of SuperDARN data depends on the proper acknowledgement of data by its users. Guidelines for data acknowledgement are as follows: When data from an individual radar or radars are used, users must contact the principal investigator(s) of those radar(s) to obtain the appropriate acknowledgement information and to offer collaboration, where appropriate. Contact information is available in the README file for this collection. For all usage of SuperDARN data, users are asked to include the following standard acknowledgement text: “The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.” While SuperDARN has an open data use policy, i.e., prior permission to access and analyse the data is not required, the data user is strongly encouraged to establish early contact with any Principal Investigator whose data are involved in the project to discuss the intended usage and collaboration. Data can be subject to limitations that are not immediately evident to users. In addition, some data are embargoed for use by designated Principal Investigators for a period of one year. SuperDARN and the organizations that contributed data must be acknowledged in all reports and publications that use SuperDARN data. The SuperDARN Executive Council (see list in the README) must be notified before data are redistributed through another database. The data are not to be used for commercial purposes. If you have any questions about appropriate use of these data, contact any SuperDARN Principal Investigator.
DOI: 10.20383/102.0460
title: SuperDARN 2004 DAT

description: SuperDARN DAT files for the calendar year 2004. INSTRUMENT INFORMATION AND RULES OF THE ROAD: *** Before downloading and using the data, make sure to read the README file in the top directory of this collection. *** SuperDARN is an international collaboration operating high frequency (HF) radars deployed in the northern and southern hemispheres to measure ionospheric plasma circulation. Each partner institution secures funding and manages operations for their own facilities. The continued availability of SuperDARN data depends on the proper acknowledgement of data by its users. Guidelines for data acknowledgement are as follows: When data from an individual radar or radars are used, users must contact the principal investigator(s) of those radar(s) to obtain the appropriate acknowledgement information and to offer collaboration, where appropriate. Contact information is available in the README file for this collection. For all usage of SuperDARN data, users are asked to include the following standard acknowledgement text: “The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.” While SuperDARN has an open data use policy, i.e., prior permission to access and analyse the data is not required, the data user is strongly encouraged to establish early contact with any Principal Investigator whose data are involved in the project to discuss the intended usage and collaboration. Data can be subject to limitations that are not immediately evident to users. In addition, some data are embargoed for use by designated Principal Investigators for a period of one year. SuperDARN and the organizations that contributed data must be acknowledged in all reports and publications that use SuperDARN data. The SuperDARN Executive Council (see list in the README) must be notified before data are redistributed through another database. The data are not to be used for commercial purposes. If you have any questions about appropriate use of these data, contact any SuperDARN Principal Investigator.
DOI: 10.20383/102.0461
title: SuperDARN 2003 DAT

description: SuperDARN DAT files for the calendar year 2003. INSTRUMENT INFORMATION AND RULES OF THE ROAD: *** Before downloading and using the data, make sure to read the README file in the top directory of this collection. *** SuperDARN is an international collaboration operating high frequency (HF) radars deployed in the northern and southern hemispheres to measure ionospheric plasma circulation. Each partner institution secures funding and manages operations for their own facilities. The continued availability of SuperDARN data depends on the proper acknowledgement of data by its users. Guidelines for data acknowledgement are as follows: When data from an individual radar or radars are used, users must contact the principal investigator(s) of those radar(s) to obtain the appropriate acknowledgement information and to offer collaboration, where appropriate. Contact information is available in the README file for this collection. For all usage of SuperDARN data, users are asked to include the following standard acknowledgement text: “The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.” While SuperDARN has an open data use policy, i.e., prior permission to access and analyse the data is not required, the data user is strongly encouraged to establish early contact with any Principal Investigator whose data are involved in the project to discuss the intended usage and collaboration. Data can be subject to limitations that are not immediately evident to users. In addition, some data are embargoed for use by designated Principal Investigators for a period of one year. SuperDARN and the organizations that contributed data must be acknowledged in all reports and publications that use SuperDARN data. The SuperDARN Executive Council (see list in the README) must be notified before data are redistributed through another database. The data are not to be used for commercial purposes. If you have any questions about appropriate use of these data, contact any SuperDARN Principal Investigator.
DOI: 10.20383/102.0462
title: SuperDARN 2002 DAT

description: SuperDARN DAT files for the calendar year 2002. INSTRUMENT INFORMATION AND RULES OF THE ROAD: *** Before downloading and using the data, make sure to read the README file in the top directory of this collection. *** SuperDARN is an international collaboration operating high frequency (HF) radars deployed in the northern and southern hemispheres to measure ionospheric plasma circulation. Each partner institution secures funding and manages operations for their own facilities. The continued availability of SuperDARN data depends on the proper acknowledgement of data by its users. Guidelines for data acknowledgement are as follows: When data from an individual radar or radars are used, users must contact the principal investigator(s) of those radar(s) to obtain the appropriate acknowledgement information and to offer collaboration, where appropriate. Contact information is available in the README file for this collection. For all usage of SuperDARN data, users are asked to include the following standard acknowledgement text: “The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.” While SuperDARN has an open data use policy, i.e., prior permission to access and analyse the data is not required, the data user is strongly encouraged to establish early contact with any Principal Investigator whose data are involved in the project to discuss the intended usage and collaboration. Data can be subject to limitations that are not immediately evident to users. In addition, some data are embargoed for use by designated Principal Investigators for a period of one year. SuperDARN and the organizations that contributed data must be acknowledged in all reports and publications that use SuperDARN data. The SuperDARN Executive Council (see list in the README) must be notified before data are redistributed through another database. The data are not to be used for commercial purposes. If you have any questions about appropriate use of these data, contact any SuperDARN Principal Investigator.
DOI: 10.5281/zenodo.5819179
title: Childhood maltreatment history for guiding personalized antidepressant choice in major depressive disorder: Preliminary results from a systematic review

description: Childhood maltreatment history for guiding personalized antidepressant<br> choice in major depressive disorder: Preliminary results from a<br> systematic review Childhood maltreatment (CM) is a predictor of poor outcome across treatments for major depressive disorder<br> (MDD), while its potential role as a predictor of differential responses to specific antidepressants has received<br> little attention. The present systematic review examined pharmacological studies (published up to June 30th,<br> 2020) that included head-to-head comparisons of antidepressant treatments among adult MDD patients with a<br> reported history of CM or no history to evaluate if CM may help clinicians choose antidepressants with greatest<br> likelihood of successful outcome. Only three studies were included, providing limited and provisional results.<br> These preliminary findings suggest that sustained-release bupropion (alone or in combination) or aripiprazoleaugmentation<br> as next-step intervention did not demonstrate differential outcome among MDD patients with or<br> without a history of childhood adversity. Further, sertraline and the group of antidepressants with low affinity for<br> the serotonin transporter may be less suitable for MDD patients with childhood abuse history than escitalopram,<br> venlafaxine-XR, or antidepressants with high affinity for the serotonin transporter. The critical question of the<br> most potentially efficacious treatment regimens for adult MDD with CM history requires further large-sample<br> studies involving a greater number of medications, specifically designed to analyse the moderating effects of<br> different types of CM, and possibly including objective biomarkers.
DOI: 10.5281/zenodo.5819178
title: Childhood maltreatment history for guiding personalized antidepressant choice in major depressive disorder: Preliminary results from a systematic review

description: Childhood maltreatment history for guiding personalized antidepressant<br> choice in major depressive disorder: Preliminary results from a<br> systematic review Childhood maltreatment (CM) is a predictor of poor outcome across treatments for major depressive disorder<br> (MDD), while its potential role as a predictor of differential responses to specific antidepressants has received<br> little attention. The present systematic review examined pharmacological studies (published up to June 30th,<br> 2020) that included head-to-head comparisons of antidepressant treatments among adult MDD patients with a<br> reported history of CM or no history to evaluate if CM may help clinicians choose antidepressants with greatest<br> likelihood of successful outcome. Only three studies were included, providing limited and provisional results.<br> These preliminary findings suggest that sustained-release bupropion (alone or in combination) or aripiprazoleaugmentation<br> as next-step intervention did not demonstrate differential outcome among MDD patients with or<br> without a history of childhood adversity. Further, sertraline and the group of antidepressants with low affinity for<br> the serotonin transporter may be less suitable for MDD patients with childhood abuse history than escitalopram,<br> venlafaxine-XR, or antidepressants with high affinity for the serotonin transporter. The critical question of the<br> most potentially efficacious treatment regimens for adult MDD with CM history requires further large-sample<br> studies involving a greater number of medications, specifically designed to analyse the moderating effects of<br> different types of CM, and possibly including objective biomarkers.
DOI: 10.5281/zenodo.5819182
title: COVID-19 and panic disorder: clinical considerations for the most physical of mental disorders

description: COVID-19 and panic<br> disorder: clinical<br> considerations for the most<br> physical of mental<br> disorders
DOI: 10.15468/dl.j85uab
title: Occurrence Download

description: A dataset containing 1521 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2024",
 "Geometry POLYGON ((-130.7383528944533 -59.46314024951374, -130.7383528944533 32.71876227804215, -26.26729810228821 32.71876227804215, -26.26729810228821 -59.46314024951374, -130.7383528944533 -59.46314024951374))",
 "OccurrenceStatus is Present",
 "TaxonKey is Myiarchus semirufus P.L.Sclater & Salvin, 1878"
 ]
}

 The dataset includes 1521 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051986-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sdkwb8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bucculatrix albertiella Busck, 1909",
 {
 "not" : {
 "DatasetKey" : [
 "is Global database of alien macrofungi"
 ]
 }
 },
 {
 "or" : [
 "Country is Poland",
 "Country is Poland"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0393736-210914110416597/datasets/export for details.
DOI: 10.15468/dl.zera2c
title: Occurrence Download

description: A dataset containing 514421 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Setophaga fusca (Statius Müller, 1776)"
 ]
}

 The dataset includes 514421 records from 239 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081123-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.29k8c3
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Sinosenecio subcoriaceus C.Jeffrey & Y.L.Chen"
 ]
}

 The dataset includes 13 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0323020-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bn2zmp
title: Occurrence Download

description: A dataset containing 345 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Luziola subintegra Swallen"
 ]
}

 The dataset includes 345 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0296776-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xahwhg
title: Occurrence Download

description: A dataset containing 98 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Literature Occurrence"
 ]
 },
 "Country is Mexico",
 "TaxonKey is Melongena melongena (Linnaeus, 1758)"
 ]
}

 The dataset includes 98 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009501-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fabxm8
title: Occurrence Download

description: A dataset containing 916 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Asthenes helleri (Chapman, 1923)"
 ]
}

 The dataset includes 916 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048735-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5xhffx
title: Occurrence Download

description: A dataset containing 3067 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is false",
 "TaxonKey is Eleutherodactylidae"
 ]
}

 The dataset includes 3067 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081136-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3r2n3f
title: Occurrence Download

description: A dataset containing 12569 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Literature Occurrence",
 "BasisOfRecord is Material sample",
 "BasisOfRecord is Fossil",
 "BasisOfRecord is Living Specimen"
 ]
 },
 "OccurrenceStatus is Present",
 "TaxonKey is Epipactis helleborine (L.) Crantz"
 ]
}

 The dataset includes 12569 records from 235 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013278-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b59wc6
title: Occurrence Download

description: A dataset containing 1000 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acaena magellanica (Lam.) Vahl"
 ]
}

 The dataset includes 1000 records from 90 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005358-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rvmca9
title: Occurrence Download

description: A dataset containing 233 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Fissidens tosaensis Broth."
 ]
}

 The dataset includes 233 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048739-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wy64h5
title: Occurrence Download

description: A dataset containing 2917 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Xestia collina Boisduval, 1840"
 ]
}

 The dataset includes 2917 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0087748-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.688zh5
title: Occurrence Download

description: A dataset containing 1912 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "TaxonKey is Machaerium acutifolium Vogel"
 ]
}

 The dataset includes 1912 records from 103 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0231331-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7xj6rj
title: Occurrence Download

description: A dataset containing 15557 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Thymelaea hirsuta (L.) Endl."
 ]
}

 The dataset includes 15557 records from 155 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075082-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p5j28g
title: Occurrence Download

description: A dataset containing 65 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Suemus Simon, 1895"
 ]
}

 The dataset includes 65 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053449-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xa2wmr
title: Occurrence Download

description: A dataset containing 975 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cipangopaludina chinensis Reeve, 1863"
 ]
}

 The dataset includes 975 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006679-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pkk3zb
title: Occurrence Download

description: A dataset containing 21615 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Sightings Map of Invasive Plants in Portugal"
 ]
}

 The dataset includes 21615 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0275671-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.