cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/wstv9v
title: Replication Data for: Do Party Leaders Influence Roll-Call Voting in Congress?

description: Scholars and observers of the U.S. Congress assume that party leaders whip their members and influence their voting behavior, but little evidence convincingly separates the effects of party leaders from the selection of members into parties. I find that a switch from a relatively moderate to a relatively extreme party leader causes rank-and-file members to cast more extreme roll-call votes (and vice versa). Exploiting several unique historical episodes, I find that party leaders even influence the members who did not support their leadership bid, and rank-and-file members are less likely to cast partisan votes when there is no party leader. In addition to providing new evidence on the effects of congressional leaders, this study also sheds light on a historically anomalous period of Republican moderation in the 1960s and 1970s, and it helps to explain the increase in congressional polarization over the past 50 years.copy directly from abstract in PSRM publication
DOI: 10.17632/hsz66phhmf.1
title: EXECUTIVE FUNCTION AND DECISION-MAKING IN COLOMBIAN PATIENTS WITH PARANOID SCHIZOPHRENIA

description: Schizophrenia (SCZD) is a mental disorder characterized by cognitive dysfunction, impaired decision-making abilities, abnormalities in brain functioning, and specific genetic markers. Ethnic and racial factors influence the development and presentation of schizophrenia, with different groups experiencing different levels of risk and exhibiting different patterns of mental disorders. Objective: We sought to investigate the executive function and decision-making profile of Schizophrenia participants from Barranquilla, Colombia, which have a high genetic mixture and significant ethnic and racial diversity. Methods: The sample consists of 40 individuals, 20 diagnosed with paranoid schizophrenia and 20 controls. We use the BANFE neuropsychological battery and the Iowa Gambling task to measure executive function and decision-making processes. Results: The study found differences in cognitive performance, measured by the Neuropsychological Battery of Executive Functions and Frontal Lobes, in the medial orbit, anterior prefrontal, dorsolateral, and total executive function measures. In decision-making, as measured by the Iowa Gambling Test, there were also differences between the two groups, with those with schizophrenia performing worse and showing a preference for disadvantageous options. The study also found that there were no significant differences in socio-demographic characteristics between the two groups but that there were differences in terms of socio-economic status and educational level. Conclusion: This study found that individuals with paranoid schizophrenia had significant differences in their prefrontal cortex compared to those without the condition, specifically in the dorsolateral and orbital-prefrontal cortex. These differences may be linked to difficulties adjusting to their environment and processing reinforcement, leading to impaired learning and arousal disturbances.
DOI: 10.15468/dl.bwhc33
title: Occurrence Download

description: A dataset containing 297 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Fauna y flora asociada a 18 humedales del valle geográfico del río Cauca",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 297 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028440-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hmu33v
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Centre for Australian National Biodiversity Research (CANB) AVH data",
 "Country is Croatia"
 ]
}

 The dataset includes 39 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028443-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.up33nz
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Florida State Collection of Arthropods",
 "Country is Croatia"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028442-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r9bcv9
title: Occurrence Download

description: A dataset containing 495 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Collection Arachnology SMF",
 "Country is Croatia"
 ]
}

 The dataset includes 495 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028444-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/hry9ccctpb
title: Factors associated with student dropout in nursing students at the Simon Bolivar University

description: In order to analyze the Genesis and identify the relevance of the information obtained for the investigative development, an investigation was carried out taking into account as a general objective -Determine how the factors associated with the educational process are determinant in the undergraduate university student dropout in the assistance modality of the Nursing program of the Simón Bolívar University period 2018-2019-. Within the problem statement, the situations that arise when a student deserts the University Senate are described, which generates the question: What are the factors associated with university student desertion in the Nursing program of the Simón Bolívar University in the Period 2018-2019? The justification of this work is due to the increase in Nursing students, who for different reasons drop out of the University in different semesters, among them are described some factors such as family academic and economic, among others, which since 2017, has been controlled by the institution, becoming the reason for this investigation, due to its incidence in abandoning the career by students. In the Theoretical Framework is all the literature researched on this problem of students, and each of the topics developed in this chapter are duly supported by Authors who have carried out important studies. In this research, the empirical-analytical approach was applied. Analyzing the behavior of three variables and their level of link to university student dropout in the Nursing Program of the Simón Bolívar University in the period 2018-2019. Keywords: Associated factors, literature, research, student desertion.
DOI: 10.17026/ar/i5nhxj
title: PAN-00148304 - late medieval/early-modern rectangular mount (belt)

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00148304&lt;/p&gt;
description: Modified: 2025-08-18T14:35:46+02:00
DOI: 10.17632/hry9ccctpb.1
title: Factors associated with student dropout in nursing students at the Simon Bolivar University

description: In order to analyze the Genesis and identify the relevance of the information obtained for the investigative development, an investigation was carried out taking into account as a general objective -Determine how the factors associated with the educational process are determinant in the undergraduate university student dropout in the assistance modality of the Nursing program of the Simón Bolívar University period 2018-2019-. Within the problem statement, the situations that arise when a student deserts the University Senate are described, which generates the question: What are the factors associated with university student desertion in the Nursing program of the Simón Bolívar University in the Period 2018-2019? The justification of this work is due to the increase in Nursing students, who for different reasons drop out of the University in different semesters, among them are described some factors such as family academic and economic, among others, which since 2017, has been controlled by the institution, becoming the reason for this investigation, due to its incidence in abandoning the career by students. In the Theoretical Framework is all the literature researched on this problem of students, and each of the topics developed in this chapter are duly supported by Authors who have carried out important studies. In this research, the empirical-analytical approach was applied. Analyzing the behavior of three variables and their level of link to university student dropout in the Nursing Program of the Simón Bolívar University in the period 2018-2019. Keywords: Associated factors, literature, research, student desertion.
DOI: 10.15129/5ab77bbf-e9b9-4652-b172-78f4648db61a
title: Data for: "The response of lunar regolith simulants of varying particle size ranges to vertical and horizontal vibrations"

description: This dataset contains the data used to produce the article entitled "The response of lunar regolith simulants of varying particle size ranges to vertical and horizontal vibrations" (Journal of Rheology). The data include the simulant volume percentage (%) as a function of particle diameter (Fig. 1), the nondimensional parameter Γ as a function of frequency for different imposed voltage gains (Calibration curve, Fig.3), the peak/valley difference (mm) for the material free surface as a function of frequency (Hz) and amplitude (V) (Figs. 7 and 11), the average particle velocity (mm/s) as a function of Γ. The data pertaining to each figure in the paper is presented in the attached folder and named accordingly. The provided files are for the Grapher Software and require this software to be visualised.
DOI: 10.15468/dl.a7y6rh
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "Geometry POLYGON ((-119.5743 35.35167, -119.5742 35.35202, -119.574 35.35238, -119.5739 35.35275, -119.5738 35.35313, -119.5737 35.35351, -119.5736 35.35389, -119.5736 35.35427, -119.5736 35.35465, -119.5736 35.35504, -119.5736 35.35542, -119.5737 35.3558, -119.5738 35.35618, -119.5739 35.35655, -119.574 35.35692, -119.5742 35.35728, -119.5744 35.35764, -119.5746 35.35798, -119.5748 35.35832, -119.5751 35.35864, -119.5753 35.35896, -119.5756 35.35926, -119.5759 35.35955, -119.5763 35.35983, -119.5766 35.36009, -119.577 35.36034, -119.5773 35.36057, -119.5777 35.36079, -119.5781 35.36099, -119.5786 35.36117, -119.579 35.36133, -119.5794 35.36148, -119.5799 35.3616, -119.5803 35.36171, -119.5808 35.36179, -119.5812 35.36186, -119.5817 35.36191, -119.5836 35.36205, -119.584 35.36208, -119.5845 35.36209, -119.5849 35.36208, -119.5854 35.36204, -119.5859 35.36199, -119.5863 35.36192, -119.5868 35.36183, -119.5872 35.36172, -119.5877 35.3616, -119.5881 35.36145, -119.5885 35.36129, -119.5889 35.36111, -119.5893 35.36091, -119.5897 35.3607, -119.5901 35.36047, -119.5904 35.36022, -119.5908 35.35996, -119.5911 35.35969, -119.5914 35.3594, -119.5919 35.35891, -119.5921 35.35862, -119.5924 35.35831, -119.5927 35.35798, -119.5929 35.35765, -119.5931 35.35731, -119.5933 35.35697, -119.5934 35.35661, -119.5936 35.35625, -119.594 35.35483, -119.5942 35.35446, -119.5943 35.35408, -119.5943 35.3537, -119.5944 35.35332, -119.5944 35.35293, -119.5944 35.35255, -119.5943 35.35216, -119.5943 35.35178, -119.5942 35.3514, -119.5941 35.35103, -119.594 35.35066, -119.5938 35.35029, -119.5936 35.34993, -119.5934 35.34959, -119.5932 35.34925, -119.593 35.34892, -119.5927 35.3486, -119.5924 35.34829, -119.5921 35.34799, -119.5918 35.34771, -119.5915 35.34745, -119.5911 35.34719, -119.5907 35.34696, -119.5903 35.34674, -119.5899 35.34653, -119.5895 35.34635, -119.5891 35.34618, -119.5887 35.34603, -119.5882 35.3459, -119.5878 35.34579, -119.5873 35.3457, -119.5869 35.34562, -119.5852 35.34541, -119.5848 35.34536, -119.5843 35.34532, -119.5838 35.34531, -119.5834 35.34532, -119.5829 35.34535, -119.5824 35.3454, -119.5819 35.34547, -119.5815 35.34556, -119.581 35.34567, -119.5806 35.3458, -119.5801 35.34594, -119.5797 35.34611, -119.5793 35.34629, -119.5789 35.3465, -119.5785 35.34671, -119.5781 35.34695, -119.5778 35.3472, -119.5774 35.34747, -119.5771 35.34775, -119.5768 35.34804, -119.5765 35.34835, -119.5762 35.34867, -119.576 35.349, -119.5758 35.34934, -119.5745 35.35132, -119.5743 35.35167))",
 {
 "not" : {
 "TaxonKey" : [
 "is Plantae"
 ]
 }
 },
 {
 "not" : {
 "TaxonKey" : [
 "is Aves"
 ]
 }
 },
 "Year is greater than or equal to 1926",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 24 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028447-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2jwthd
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((148.199 -8.290915, 148.127999 -8.296474, 148.05874 -8.313015999999999, 147.992923 -8.340134000000001, 147.932165 -8.377164, 147.877959 -8.423194000000001, 147.831638 -8.477096, 147.794344 -8.537544, 147.766997 -8.603054, 147.750276 -8.672014000000001, 147.744597 -8.742728, 147.750107 -8.813454, 147.766675 -8.882452000000001, 147.793901 -8.948021000000001, 147.831117 -9.008544000000001, 147.877411 -9.062528, 147.931644 -9.108641, 147.99248 -9.145745, 148.058418 -9.172922, 148.12783 -9.189501999999999, 148.199 -9.195074, 148.27017 -9.189501999999999, 148.339582 -9.172922, 148.40552 -9.145745, 148.466356 -9.108641, 148.520589 -9.062528, 148.566883 -9.008544000000001, 148.604099 -8.948021000000001, 148.631325 -8.882452000000001, 148.647893 -8.813454, 148.653403 -8.742728, 148.647724 -8.672014000000001, 148.631003 -8.603054, 148.603656 -8.537544, 148.566362 -8.477096, 148.520041 -8.423194000000001, 148.465835 -8.377164, 148.405077 -8.340134000000001, 148.33926 -8.313015999999999, 148.270001 -8.296474, 148.199 -8.290915))"},{"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 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028445-251120083545085/datasets/export for details.
DOI: 10.17632/b8h39fbd5w
title: Knowledge, attitudes and practices on antibiotics and antibiotic resistance among university students in the health sector

description: Antimicrobial resistance is the phenomenon by which a microorganism ceases to be affected by an antimicrobial to which it was previously exposed. microorganism is no longer affected by an antimicrobial to which it was previously sensitive. was sensitive to. Antimicrobial resistance is a public health problem, due to the multiple complications it may complications it can lead to. Generally, health care trainees have a much higher health care students are generally much more knowledgeable about the use of antibiotics than the general community. the general community, but not enough to prevent further increases in antibiotic resistance. further increase in resistance. Studies have been conducted to investigate this problem among among future health care workers have been conducted and found inadequate knowledge. inadequate knowledge, therefore, a good education in their training will have a positive impact on resistance. will have a positive impact on antibiotic resistance during professional practice. professional practice. Objective: To evaluate knowledge, attitudes and practices on antibiotics, antibiotic use and antibiotic resistance. and antibiotic resistance in medical and nursing students of a higher education institution in Barranquilla, Colombia. an institution of higher education in Barranquilla (Colombia). Key words: Antibiotics, Antimicrobial resistance, Knowledge, Attitudes, Practices Methods: A descriptive, cross-sectional, observational, survey-type, descriptive, cross-sectional, observational study was sample of 530 students distributed in 315 medical students and 215 nursing students of the and 215 nursing students of the institution of higher education under study, during the second semester of 2022. the institution of higher education under study, during the second semester of 2022. It demographic variables and variables related to knowledge, attitudes and practices about antibiotics, antibiotic use and antibiotic resistance were studied. A previously designed and validated questionnaire was applied, which had four sections. The first section corresponded to demographic information of the study subjects. The second section included seven true-false questions that measured the level of knowledge related to antibiotics.
DOI: 10.15468/dl.fsf825
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is University of Texas, Biodiversity Center, Entomology Collection (UTIC)",
 "Geometry POLYGON((-97.17588 30.08275,-97.15701 30.08275,-97.15701 30.10232,-97.17588 30.10232,-97.17588 30.08275))",
 "TaxonKey is Labidus coecus",
 "Year 2017-2025"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028449-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pthmyk
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Geocapromys brownii",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 32 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028450-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4crdqq
title: Occurrence Download

description: A dataset containing 35298809 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is South Africa",
 "OccurrenceStatus is Present",
 "Year 2000-2025"
 ]
}

 The dataset includes 35298809 records from 113 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028328-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mmhaaq
title: Occurrence Download

description: A dataset containing 147 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Museum of Texas Tech University Mammalogy Collection",
 "Country is Croatia"
 ]
}

 The dataset includes 147 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028451-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nfmac2
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Hatikka.fi observations",
 "Country is Croatia"
 ]
}

 The dataset includes 26 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028452-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3929/ethz-c-000788340
title: Multispectral (Optical-Thermal) Image Pair Dataset
DOI: 10.17026/ar/nazl1o
title: PAN-00006574 - coin/coin-related, (ondetermineerbaar), (koperstuk)

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00006574&lt;/p&gt;
description: Modified: 2025-09-16T14:51:35+02:00
DOI: 10.15468/dl.3pwghm
title: Occurrence Download

description: A dataset containing 500 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Lund University Biological Museum - Insect collections Specimens",
 "Country is Croatia"
 ]
}

 The dataset includes 500 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028453-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25934/pr00005196.0
title: Available IPD datapackage for study 'Tolerability, Safety and Treatment Response of Flexible Doses of Paliperidone ER in Acutely Exacerbated Subjects With Schizophrenia'

description: The purpose of this study is to evaluate the tolerability, safety and treatment response of flexible doses of paliperidone extended-release (ER; designed to slowly release a drug in the body over an extended period of time) tablets in participants with acute schizophrenia (psychiatric disorder with symptoms of emotional instability, detachment from reality, often with delusions and hallucinations, and withdrawal into the self).
DOI: 10.15468/dl.p7235u
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is University of Texas, Biodiversity Center, Entomology Collection (UTIC)",
 "Geometry POLYGON((-97.17588 30.08275,-97.15701 30.08275,-97.15701 30.10232,-97.17588 30.10232,-97.17588 30.08275))",
 "TaxonKey is Pogonomyrmex comanche",
 "Year 2017-2025"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028454-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.