cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.br8zrd
title: Occurrence Download

description: A dataset containing 74 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 },
 "TaxonKey is Croton brieyi De Wild.",
 "Continent is Africa"
 ]
}

 The dataset includes 74 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014782-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sy3xt3
title: Occurrence Download

description: A dataset containing 771542 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is FrogID"
 ]
}

 The dataset includes 771542 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014762-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jmacnx
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 },
 "TaxonKey is Croton draconopsis Müll.Arg.",
 "Continent is Africa"
 ]
}

 The dataset includes 22 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014784-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13759322
title: Assessment of Patient Safety Culture and Associated Factors among Healthcare Professionals in Public Hospitals of Bahir Dar City, Northwest Ethiopia: A Mixed-Methods Study

description: This dataset contains raw data  of " Likert Scale Descriptive Analysis"on the assessment of patient safety culture among healthcare professionals in public hospitals of Bahir Dar City, Northwest Ethiopia.
DOI: 10.5281/zenodo.13759323
title: Assessment of Patient Safety Culture and Associated Factors among Healthcare Professionals in Public Hospitals of Bahir Dar City, Northwest Ethiopia: A Mixed-Methods Study

description: This dataset contains raw data  of " Likert Scale Descriptive Analysis"on the assessment of patient safety culture among healthcare professionals in public hospitals of Bahir Dar City, Northwest Ethiopia.
DOI: 10.5281/zenodo.13759271
title: Assessment of Patient Safety Culture and Associated Factors among Healthcare Professionals in Public Hospitals of Bahir Dar City, Northwest Ethiopia: A Mixed-Methods Study

description: This dataset contains raw data on "regression analyses" on  the assessment of patient safety culture among healthcare professionals in public hospitals of Bahir Dar City, Northwest Ethiopia."
DOI: 10.5281/zenodo.13759272
title: Assessment of Patient Safety Culture and Associated Factors among Healthcare Professionals in Public Hospitals of Bahir Dar City, Northwest Ethiopia: A Mixed-Methods Study

description: This dataset contains raw data on "regression analyses" on  the assessment of patient safety culture among healthcare professionals in public hospitals of Bahir Dar City, Northwest Ethiopia."
DOI: 10.15468/dl.uhx4n7
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 },
 "TaxonKey is Croton gossweileri Hutch.",
 "Continent is Africa"
 ]
}

 The dataset includes 12 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014786-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13750439
title: Assessment of Patient Safety Culture and Associated Factors among Healthcare Professionals in Public Hospitals of Bahir Dar City, Northwest Ethiopia: A Mixed-Methods Study

description: This data set contains HSOPSC  on the Assessment of Patient Safety Culture and Associated Factors among Healthcare Professionals in Public Hospitals of Bahir Dar City, Northwest Ethiopia: A Mixed-Methods Study
DOI: 10.5281/zenodo.13750438
title: Assessment of Patient Safety Culture and Associated Factors among Healthcare Professionals in Public Hospitals of Bahir Dar City, Northwest Ethiopia: A Mixed-Methods Study

description: This data set contains HSOPSC  on the Assessment of Patient Safety Culture and Associated Factors among Healthcare Professionals in Public Hospitals of Bahir Dar City, Northwest Ethiopia: A Mixed-Methods Study
DOI: 10.15468/dl.7zaq67
title: Occurrence Download

description: A dataset containing 2030 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 },
 "TaxonKey is Croton gratissimus Burch.",
 "Continent is Africa"
 ]
}

 The dataset includes 2030 records from 78 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014787-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7ppf8u
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "TaxonKey is Sternula lorata (Philippi & Landbeck, 1861)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014788-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13749392
title: In depth interview guideline  for Assessment of Patient Safety Culture and Associated Factors among Healthcare Professionals in Public Hospitals of Bahir Dar City, Northwest Ethiopia
title: Assessment of patient safety culture among healthcare professionals

description: The data contains in-depth interview guidline for Assessment of Patient Safety Culture and Associated Factors among Healthcare Professionals in Public Hospitals of Bahir Dar City, Northwest Ethiopia: A Mixed-Methods Study
DOI: 10.5281/zenodo.13749393
title: In depth interview guideline  for Assessment of Patient Safety Culture and Associated Factors among Healthcare Professionals in Public Hospitals of Bahir Dar City, Northwest Ethiopia
title: Assessment of patient safety culture among healthcare professionals

description: The data contains in-depth interview guidline for Assessment of Patient Safety Culture and Associated Factors among Healthcare Professionals in Public Hospitals of Bahir Dar City, Northwest Ethiopia: A Mixed-Methods Study
DOI: 10.15468/dl.hzbdgp
title: Occurrence Download

description: A dataset containing 2030 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 },
 "TaxonKey is Croton gratissimus Burch.",
 "Continent is Africa"
 ]
}

 The dataset includes 2030 records from 78 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014789-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.7120501
title: MUHAI Benchmark : Task 3 (Understanding Complex Concepts)

description: Meaning and Understanding in Human-Centric AI (MUHAI) Benchmark
Task 3 Understanding complex concepts


 


This dataset helps investigating whether symbolic reasoning can help statistical models tro understand complex concepts. Complex concepts are expressed in the form of Image Schemas (i.e., mental templates that summarise human experiences in the form of patterns of object relations and actions).
The submission includes the the ImageSchema dataset with ground truth labels :
1. A question to be asked
2. the type of Image schema (class)
3. the type of phrasing (literal , metaphoric, a distracting sentence)
4. the type of questioning (one referring to the image schema by name, and another describing its content) 
5. a question indicating whether it is a yes or no answer
6. the image schema variables identified

Each sample in the datasets starts with a question about the presence of the given schema in the following sentence, and follows with a single sentence to be classified as either "yes" or "no" (presence or absence of a schema).

This can be used by a system (eg a language model, a symbolic system, a neuro-symbolic approach) to identify image schemas. The file "language-models.csv" includes the results of two language models that were tested (T0pp, GPT-3).


Metrics used to evaluate:
1. Accuracy : no. correct predictions  / no. of total sentences (TP + TN / P + N)
2. Precision: no. correct image schema predictions  / total correct image schema predictions (TP / TP + FP)
3. Recall :   : no. correct image schema predictions  / total predicted image schema (TP / TP + FN)
4. F1 : harmonic mean of Precision and Recall


Code : https://github.com/kmitd/muhai-EPL
DOI: 10.5281/zenodo.7120502
title: MUHAI Benchmark : Task 3 (Understanding Complex Concepts)

description: Meaning and Understanding in Human-Centric AI (MUHAI) Benchmark
Task 3 Understanding complex concepts


 


This dataset helps investigating whether symbolic reasoning can help statistical models tro understand complex concepts. Complex concepts are expressed in the form of Image Schemas (i.e., mental templates that summarise human experiences in the form of patterns of object relations and actions).
The submission includes the the ImageSchema dataset with ground truth labels :
1. A question to be asked
2. the type of Image schema (class)
3. the type of phrasing (literal , metaphoric, a distracting sentence)
4. the type of questioning (one referring to the image schema by name, and another describing its content) 
5. a question indicating whether it is a yes or no answer
6. the image schema variables identified

Each sample in the datasets starts with a question about the presence of the given schema in the following sentence, and follows with a single sentence to be classified as either "yes" or "no" (presence or absence of a schema).

This can be used by a system (eg a language model, a symbolic system, a neuro-symbolic approach) to identify image schemas. The file "language-models.csv" includes the results of two language models that were tested (T0pp, GPT-3).


Metrics used to evaluate:
1. Accuracy : no. correct predictions  / no. of total sentences (TP + TN / P + N)
2. Precision: no. correct image schema predictions  / total correct image schema predictions (TP / TP + FP)
3. Recall :   : no. correct image schema predictions  / total predicted image schema (TP / TP + FN)
4. F1 : harmonic mean of Precision and Recall


Code : https://github.com/kmitd/muhai-EPL
DOI: 10.5281/zenodo.8250109
title: Global economic impact of weather variability on the rich and the poor

description: This repository provides data and code to reproduce the results of the publication "L. Quante, S. N. Willner, C. Otto, and A. Levermann (2024). Global economic impact of weather variability on the rich and the poor, Nature Sustainability".

This repository contains:

- 01_forcing_marginal_effects: marginal effects data to be combined with climate model data to generate the impacts- 02_impact_data - timeseries of production disruption, generated as described in the methods "Estimation of direct production losses", using the code in 03_impact_downscaling- 04_acclimate_settings: example settings for acclimate runs using the impact files. Due to licensing restrictions, we can not provide the EORA network data used for the simulations piublicly. 04b_income_share_generation provides the income data (from the World Bank) used to disaggregate consumption data in the EORA network to five income quintiles.- 05_pre_processed_simulation_output: the output from the acclimate simulations, pre-procesed for analysis using the code provided in 06_analysis-code- 07_figures_tables: figures and supplementary data.- 08_addtional_data: data used for plotting, i.e. the World Bank classification of country income levels.

Dependencies:



a working environment is provided in environment.yml

the Acclimate post-processing package can be downloaded from the respective GitHub repostory with git@github.com:acclimate/post-processing.git. Switch to the develop branch with git checkout develop and install the package with conda develop . from within the repository
DOI: 10.15468/dl.cr57k2
title: Occurrence Download

description: A dataset containing 2030 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 },
 "TaxonKey is Croton gratissimus Burch.",
 "Continent is Africa"
 ]
}

 The dataset includes 2030 records from 78 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014790-240906103802322/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.26892673
title: BNP Paribas PF Fraud dataset - Skrub adaptation

description: This is a re-upload from https://challengedata.ens.fr/challenges/104 for development convenience. The original dataset is under Etalab open license, allowing its free redistribution. The context below is from the original challenge.<br><br>Challenge context:<br>BNP Paribas Personal Finance is the leader in personal financing in France and in Europe through its consumer credit activity. A 100% subsidiary of the BNP Paribas Group, BNP Paribas Personal Finance gathers more than 20 000 employees and operates in some thirty countries. Under various brands like Cetelem, Cofinoga and Findomestic, BNP Paribas Personal Finance provides its clients with a complete range of consumer credit, available in stores and car dealership or directly through customer relationship centers and via the company’s local websites.BNP Paribas Personal Finance had developed an active strategy of support for retailers, carmakers and dealers, Web merchants, and various financial institutions (banking and insurance), based on its credit's market experience and its ability to offer services adapted to the activity and the commercial strategy of its business partners. It is also a key player in terms of responsible credit and budgetary awareness.BNPP Personal Finance is, by nature, exposed to Credit Risk, and relies heavily on quantitative models to manage it. Within BNP Paribas Personal Finance Central Risk Department is responsible for the relevance of risk rating models used within all local entities and for maintaining a high level of expertise with integrating new statistical techniques in new modelling environments.The Credit Process Optimization team is part of the RISK department of BNPP PF, within Risk Personal Finance Global Credit Decision-making Policies, we contribute to the rationalization and the optimization of risk decision processes through an analytical approach. We support local risk teams to improve the efficiency of credit processes including fraud part, participating to the best balance between profitability, customer journey and risk profiles.<b>Fraud is a major problem for merchants. Criminals use a wide variety of methods to attack organizations across systems, channels, processes and products.</b> <b>The development of fraud detection methods is thus of crucial importance. Fraud detection is a challenging problem because fraudsters make their best efforts to make their behaviour look legitimate. Another difficulty is that the number of legitimate records is far greater than the number of fraudulent cases.</b>
DOI: 10.15468/dl.9tv593
title: Occurrence Download

description: A dataset containing 2030 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 },
 "TaxonKey is Croton gratissimus Burch.",
 "Continent is Africa"
 ]
}

 The dataset includes 2030 records from 78 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014791-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u73s5w
title: Occurrence Download

description: A dataset containing 2166082 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Equisetaceae"
 ]
}

 The dataset includes 2166082 records from 3853 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014756-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k8s5pk
title: Occurrence Download

description: A dataset containing 50 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Archocentrus spilurus (Günther, 1862)"
 ]
}

 The dataset includes 50 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017309-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jxjg5q
title: Occurrence Download

description: A dataset containing 498 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cornus bretschneideri L.Henry",
 "Year is greater than or equal to 1900",
 "HasCoordinate is true"
 ]
}

 The dataset includes 498 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020233-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zpkbyn
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Quercus ×jahandiezii A.Camus"
 ]
}

 The dataset includes 44 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0137165-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3gigpp
title: Occurrence Download

description: A dataset containing 247 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Guatemala",
 "DatasetKey is CAS Ichthyology (ICH)"
 ]
}

 The dataset includes 247 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017309-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kp5xw6
title: Occurrence Download

description: A dataset containing 606 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acmispon neomexicanus (Greene) Brouillet"
 ]
}

 The dataset includes 606 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0139213-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dhbhth
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aiphanes duquei Burret"
 ]
}

 The dataset includes 17 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0139214-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pnnu2t
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hieracium isopleurum Johanss."
 ]
}

 The dataset includes 7 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022758-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gbxgys
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Peru",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Pipidae"
 ]
}

 The dataset includes 29 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004448-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yypgkg
title: Occurrence Download

description: A dataset containing 22137 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Global compendium of Aedes albopictus occurrence"
 ]
}

 The dataset includes 22137 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017320-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wnqjfa
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Capra ibex Linnaeus, 1758"
 ]
}

 The dataset includes 24 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0156898-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ye3343
title: Occurrence Download

description: A dataset containing 12886 species occurrences available in GBIF matching the query:
{
 "and" : [
 "License is CC0 1.0",
 "TaxonKey is Ailanthus altissima (Mill.) Swingle"
 ]
}

 The dataset includes 12886 records from 124 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022756-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zk35e2
title: Occurrence Download

description: A dataset containing 12710 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Dutch Vegetation Database",
 "HasCoordinate is true",
 {
 "or" : [
 "TaxonKey is Parnassia palustris L.",
 "TaxonKey is Cirsium dissectum (L.) Hill",
 "TaxonKey is Platanthera bifolia (L.) Rich.",
 "TaxonKey is Dactylorhiza maculata (L.) Soó, 1962",
 "TaxonKey is Succisa pratensis Moench",
 "TaxonKey is Scabiosa succisa L."
 ]
 },
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 12710 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017310-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.