cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.6vcsxt
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cephalaria tchihatchewii Boiss."
 ]
}

 The dataset includes 9 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084666-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4nbvwz
title: Occurrence Download

description: A dataset containing 4726 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Abronia umbellata Lam., Accipiter gentilis laingi (Taverner, 1940), Achillea millefolium var. megacephala (Raup) B.Boivin, Acipenser brevirostrum Lesueur, 1818, Acipenser fulvescens Rafinesque, 1817, Acipenser medirostris Ayres, 1854, Acris blanchardi Harper, 1947, Acroscyphus sphaerophoroides Lév., Actaea elata (Nutt.) Prantl, Adiantum capillus-veneris L.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON((-124.39263792 32.5357813110001,-114.125230482 32.5357813110001,-114.125230482 42.00219179,-124.39263792 42.00219179,-124.39263792 32.5357813110001))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 4726 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028067-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9qqdgv
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_0_GID","value":"ARG","matchCase":false},{"type":"equals","key":"GADM_LEVEL_1_GID","value":"ARG.22_1","matchCase":false},{"type":"equals","key":"GADM_LEVEL_2_GID","value":"ARG.22.17_1","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 10 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060333-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ekzw5z
title: Occurrence Download

description: A dataset listing the 166 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((2.42198 48.84391,2.42294 48.85002,2.42 48.85613,2.41513 48.86009,2.40806 48.86083,2.40098 48.85817,2.39651 48.85211,2.39589 48.84612,2.39821 48.83853,2.40727 48.83474,2.4153 48.8357,2.42113 48.83989,2.42198 48.84391))",
 "PublishingCountry is France",
 "TaxonKey is Animalia",
 "Year 2020-2025"
 ]
}

 The dataset's 166 records were derived from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060326-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xpmgb4
title: Occurrence Download

description: A dataset containing 1537 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Hennediella heimii",
 "Year 1990-2025"
 ]
}

 The dataset includes 1537 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060334-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9tujgj
title: Occurrence Download

description: A dataset containing 1 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 GBIF_WITHIN('POLYGON((23.389428053980613 35.53794192369142,27.389428053980613 35.53794192369142,27.389428053980613 39.53794192369142,23.389428053980613 39.53794192369142,23.389428053980613 35.53794192369142))', occurrence.decimallatitude, occurrence.decimallongitude) = TRUE
 AND occurrence.hascoordinate = TRUE
 AND occurrence.hasgeospatialissues = FALSE
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (CAST(occurrence.taxonkey AS INTEGER) = 5540405 OR CAST(occurrence.acceptedtaxonkey AS INTEGER) = 5540405 OR CAST(occurrence.kingdomkey AS INTEGER) = 5540405 OR CAST(occurrence.phylumkey AS INTEGER) = 5540405 OR CAST(occurrence.classkey AS INTEGER) = 5540405 OR CAST(occurrence.orderkey AS INTEGER) = 5540405 OR CAST(occurrence.familykey AS INTEGER) = 5540405 OR CAST(occurrence.genuskey AS INTEGER) = 5540405 OR CAST(occurrence.specieskey AS INTEGER) = 5540405)
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year"

 The dataset's 1 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060302-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.weeew4
title: Occurrence Download

description: A dataset containing 249 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rana latastei",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "Country is Switzerland",
 "Country is Italy",
 "Country is Austria"
 ]
 },
 "Year is greater than or equal to 1990",
 "Year is less than or equal to 2000"
 ]
}

 The dataset includes 249 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060337-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7dsxjv
title: Occurrence Download

description: A dataset containing 62601 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Broussonetia papyrifera"
 ]
}

 The dataset includes 62601 records from 607 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060308-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15128/r14x51hj064
title: UK-StatuteCorpus v1.0 (2020–2024): passage-level corpus, Eval100 evaluation dataset, and distillation set

description: Research data created by the four authors licenced under CC-BY 4.0. UK Government research data licenced under OGL 3.0.
description: UK-StatuteCorpus v1.0 is a passage-level corpus of UK statutory instruments from 2020–2024 (124,796 passages). The release also includes Eval100, a 100-query evaluation dataset with three graded relevant passages per query (rel=3/2/1) and rationales, and a distillation set of 5,221 query–passage examples with Voyage rerank-2.5 teacher scores for training neural rerankers. Contains public sector information licensed under the Open Government Licence v3.0 (legislation.gov.uk, The National Archives).
description: We segmented statutory instruments into passages and associated each passage with structured metadata (e.g., year, legislation type, source URL). Eval100 was created by constructing 100 statutory questions and annotating three passages per query with graded relevance labels (3/2/1) and short rationales. A teacher reranker (Voyage rerank-2.5) was used to score query–passage pairs to form a 5,221-example distillation dataset for training smaller reranking models.
DOI: 10.15468/dl.neu7a3
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_0_GID","value":"ARG","matchCase":false},{"type":"equals","key":"GADM_LEVEL_1_GID","value":"ARG.22_1","matchCase":false},{"type":"equals","key":"GADM_LEVEL_2_GID","value":"ARG.22.18_1","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 27 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060338-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zw3s63
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "TaxonKey is Saiga borealis"
 ]
}

 The dataset includes 19 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060339-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wrrd6h
title: Occurrence Download

description: A dataset containing 375 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anchoa lamprotaenia",
 "Year 2000-2025"
 ]
}

 The dataset includes 375 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060340-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/5uk3es
title: PAN-00112116 - coin/coin-related, Wilhelmina (1898-1948), 10 cent

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00112116&lt;/p&gt;
description: Modified: 2025-11-17T15:38:54+01:00
DOI: 10.5518/1796
title: Data associated with "Temperature gradient driven motion of magnetic domains in a magnetic metal multilayer by entropic forces"

description: Data (principally magnetic force microscopy images) and processing and analysis details.
DOI: 10.15468/dl.ewb8dq
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_0_GID","value":"ARG","matchCase":false},{"type":"equals","key":"GADM_LEVEL_1_GID","value":"ARG.22_1","matchCase":false},{"type":"equals","key":"GADM_LEVEL_2_GID","value":"ARG.22.19_1","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 13 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060341-251120083545085/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.28924061
title: Early Parkinson’s disease identification via hybrid feature selection from multi-feature subsets and optimized CatBoost with SMOTE

description: Achieving high accuracy, efficiency and robustness remains a primary challenge in Parkinson's disease (PD) detection, as existing methods often struggle with these aspects. Additionally, data imbalance in medical datasets further limits the reliability of current models. Given the critical role of precise PD classification in medical diagnostics, this study proposes a novel framework to enhance detection accuracy. The proposed framework leverages a strong categorical boosting (CatBoost) algorithm optimized using Grid Search Optimization (GSO). The analysis was conducted on a PD dataset derived from speech recording signals. To address the data imbalance, the synthetic minority oversampling technique (SMOTE) is applied as a pre-processing step to improve the robustness and reliability of the model. The framework is tested with several feature subsets, as well as their combined set. In addition, RReliefF feature selection was also applied to identify the optimal subset of features. For the selected feature subset, the proposed approach achieved an accuracy of 0.9261, precision of 0.9633, sensitivity of 0.9375, F1-score of 0.9502, specificity of 0.8947, AUC of 0.9549 and a testing time of 0.012s. These results underscore the effectiveness of the proposed framework in accurately diagnosing PD, thereby providing a reliable and efficient tool for future medical diagnostics.
DOI: 10.6084/m9.figshare.28924061.v1
title: Early Parkinson’s disease identification via hybrid feature selection from multi-feature subsets and optimized CatBoost with SMOTE

description: Achieving high accuracy, efficiency and robustness remains a primary challenge in Parkinson's disease (PD) detection, as existing methods often struggle with these aspects. Additionally, data imbalance in medical datasets further limits the reliability of current models. Given the critical role of precise PD classification in medical diagnostics, this study proposes a novel framework to enhance detection accuracy. The proposed framework leverages a strong categorical boosting (CatBoost) algorithm optimized using Grid Search Optimization (GSO). The analysis was conducted on a PD dataset derived from speech recording signals. To address the data imbalance, the synthetic minority oversampling technique (SMOTE) is applied as a pre-processing step to improve the robustness and reliability of the model. The framework is tested with several feature subsets, as well as their combined set. In addition, RReliefF feature selection was also applied to identify the optimal subset of features. For the selected feature subset, the proposed approach achieved an accuracy of 0.9261, precision of 0.9633, sensitivity of 0.9375, F1-score of 0.9502, specificity of 0.8947, AUC of 0.9549 and a testing time of 0.012s. These results underscore the effectiveness of the proposed framework in accurately diagnosing PD, thereby providing a reliable and efficient tool for future medical diagnostics.
DOI: 10.6084/m9.figshare.30719765
title: Data and codes for <i>Density-dependent expression of epitranscriptomic, stress, and appetite regulating genes in Atlantic salmon</i>.

description: Data and codes for <i>Density-dependent expression of epitranscriptomic, stress, and appetite regulating genes in Atlantic salmon</i>.Morgane Frapin<sup>1</sup>, Laura Quispe<sup>1</sup>, Joana Troka<sup>1</sup>, Jenni M. Prokkola<sup>1,</sup><sup>2</sup>, Ossi Laurikainen<sup>3</sup><sup>,</sup><sup>4</sup>, Pekka Hyvärinen<sup>5</sup>, Craig R. Primmer<sup>1,</sup><sup>6</sup>, Tutku Aykanat<sup>1</sup>, Ehsan Pashay Ahi<sup>1</sup>Organismal and Evolutionary Biology Research Program, Faculty of Biological and Environmental Sciences, PO Box 56, FI-00014 University of Helsinki, FinlandNatural Resources Institute Finland (Luke), Oulu, FinlandNatural Resources Institute Finland (Luke), Viikki, Helsinki, FinlandDepartment of Environmental and Biological Sciences, Faculty of Science, Forestry and Technology, University of Eastern FinlandNatural Resources Institute Finland (Luke), Paltamo, FinlandInstitute of Biotechnology, Helsinki Institute of Life Sciences (HiLIFE), University of Helsinki, Finland26 Nov 2025<b>densityGenExp.R: </b>R code for analysis.<b><i>Objects required to run the code:</i></b><b><i>m6A_results</i></b><b>:</b> A data frame that contains phenotypic and global m6A percetages of individuals.<b><i>qPCR_HTpalt_Cq:</i></b> A data frame that contains phenotypic and gene expression information (Cq values from qPCR output) of individuals.The three sheets contain the raw data ("Cq"), the calculation of the log2RQ ("RQcalculation") and the "log2RQ" values only, respectively. (The last one, "log2RQ", is used in the script)For the sheet "RQcalculation"Col A:H correpond to fish information,Col I:J correspond to the Cq of the housekeeping genes,Col K: correspond to the geometric mean of the housekeeping genes,Col M:AN correspond to the Cq of the target genes,Col AP:BQ correspond to the dCq,Col BS:CT correspond to the ddCq,Col CV:DW correspond to the RQ,Col DY:EZ correspond to the log2RQ<br><br>
DOI: 10.6084/m9.figshare.30719765.v1
title: Data and codes for <i>Density-dependent expression of epitranscriptomic, stress, and appetite regulating genes in Atlantic salmon</i>.

description: Data and codes for <i>Density-dependent expression of epitranscriptomic, stress, and appetite regulating genes in Atlantic salmon</i>.Morgane Frapin<sup>1</sup>, Laura Quispe<sup>1</sup>, Joana Troka<sup>1</sup>, Jenni M. Prokkola<sup>1,</sup><sup>2</sup>, Ossi Laurikainen<sup>3</sup><sup>,</sup><sup>4</sup>, Pekka Hyvärinen<sup>5</sup>, Craig R. Primmer<sup>1,</sup><sup>6</sup>, Tutku Aykanat<sup>1</sup>, Ehsan Pashay Ahi<sup>1</sup>Organismal and Evolutionary Biology Research Program, Faculty of Biological and Environmental Sciences, PO Box 56, FI-00014 University of Helsinki, FinlandNatural Resources Institute Finland (Luke), Oulu, FinlandNatural Resources Institute Finland (Luke), Viikki, Helsinki, FinlandDepartment of Environmental and Biological Sciences, Faculty of Science, Forestry and Technology, University of Eastern FinlandNatural Resources Institute Finland (Luke), Paltamo, FinlandInstitute of Biotechnology, Helsinki Institute of Life Sciences (HiLIFE), University of Helsinki, Finland26 Nov 2025<b>densityGenExp.R: </b>R code for analysis.<b><i>Objects required to run the code:</i></b><b><i>m6A_results</i></b><b>:</b> A data frame that contains phenotypic and global m6A percetages of individuals.<b><i>qPCR_HTpalt_Cq:</i></b> A data frame that contains phenotypic and gene expression information (Cq values from qPCR output) of individuals.The three sheets contain the raw data ("Cq"), the calculation of the log2RQ ("RQcalculation") and the "log2RQ" values only, respectively. (The last one, "log2RQ", is used in the script)For the sheet "RQcalculation"Col A:H correpond to fish information,Col I:J correspond to the Cq of the housekeeping genes,Col K: correspond to the geometric mean of the housekeeping genes,Col M:AN correspond to the Cq of the target genes,Col AP:BQ correspond to the dCq,Col BS:CT correspond to the ddCq,Col CV:DW correspond to the RQ,Col DY:EZ correspond to the log2RQ<br><br>
DOI: 10.15468/dl.3p9y6b
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_0_GID","value":"ARG","matchCase":false},{"type":"equals","key":"GADM_LEVEL_1_GID","value":"ARG.22_1","matchCase":false},{"type":"equals","key":"GADM_LEVEL_2_GID","value":"ARG.22.20_1","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060344-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/14223502
title: Global Genomic Neurofibromatosis Neoplasia
DOI: 10.15468/dl.4e7bmj
title: Occurrence Download

description: A dataset containing 1409 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Tracheophyta)",
 "Geometry POLYGON ((12.98383 47.55598, 13.01883 47.55598, 13.01883 47.59098, 12.98383 47.59098, 12.98383 47.55598))"
 ]
}

 The dataset includes 1409 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060343-251120083545085/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.30906974
title: Maternal OVERparenting

description: Polish mothers and their children completed a study aiming to investigate Intensive Parenting Behaviors (IPB). A three-part survey was completed: Part 1 and 2 (only mothers), Part 3 (mothers and children). This study has been pre-registered on OSF: https://osf.io/rg6f5/overview.
DOI: 10.6084/m9.figshare.30906974.v1
title: Maternal OVERparenting

description: Polish mothers and their children completed a study aiming to investigate Intensive Parenting Behaviors (IPB). A three-part survey was completed: Part 1 and 2 (only mothers), Part 3 (mothers and children). This study has been pre-registered on OSF: https://osf.io/rg6f5/overview.
DOI: 10.25934/pr00004677.1
title: Available datapackage for study 'Risperidone Depot (Microspheres) vs. Placebo in the Treatment of Subjects With Schizophrenia'

description: The purpose of the study is to compare the effectiveness and safety of a long-acting injectable formulation of risperidone (an antipsychotic medication) versus placebo for the treatment of the symptoms of schizophrenia over a 12-week period.