cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25403/upresearchdata.28505939.v1
title: A systems analysis of performance monitoring and evaluation (M&E) in a government department

description: The study was focused on the analysis of performance monitoring and evaluation in the Kwa-Zulu Natal Department of Social Development. The study adopted the qualitative research design. Using information from interviews, documents from various departmental units, and observation, a phenomenological study design was employed to thoroughly conduct a systems analysis on performance monitoring and evaluation in provincial departments, particularly the Department of Social Development.Non-probability sampling was adopted in this study with a particular focus on purposive sampling. The population identified for the study was experts and professionals from three service offices at KZN DSD (Ubombo, Mbazwana, and Mtubatuba) and officials from the Monitoring and Evaluation section at KZN DSD Headquarters. The population included service office managers, social work supervisors, social workers, community development practitioners, and service monitors from KZN DSD headquarters. The study sample was selected from the above groups of experts and professionals. This study employed the thematic method of data analysis.<br>
DOI: 10.15468/dl.ytgbbr
title: Occurrence Download

description: A dataset containing 1284 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is one of (Brunei Darussalam, Malaysia, Indonesia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Nasalis larvatus (van Wurmb, 1787)"
 ]
}

 The dataset includes 1284 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001806-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ra9cz2
title: Occurrence Download

description: A dataset containing 16946 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Vicia americana Muhl. ex Willd., Vicia americana Muhl.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 16946 records from 191 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001807-250325103851331/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.28667522
title: Road junction density of China in 2011

description: Process: kernal density of all road junctions of China in 2011 (searching radius 1000m)Spatial resolution 200mDensity (ESRI GRID)、Junctions (ShapeFile): please email ylong@tsinghua.edu.cn for the raw junctions of China (over 2 million junctions)Provided by Dr Ying Long<br>To cite: Long Y, Shen Y, Jin X, 2015, “Mapping block-level urban areas for all Chinese cities”, Annals of the American Association of Geographers 106 96-113
DOI: 10.26302/sshade/experiment_ps_20101901_004
title: Co K edge XAS transmission of Co oxides at 300K
DOI: 10.15468/dl.dyygye
title: Occurrence Download

description: A dataset containing 7087 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Vicia grandiflora Scop., Vicia grandiflora Sm.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 7087 records from 180 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001808-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26302/sshade/experiment_ps_20101901_001
title: Ni K edge XAS transmission of Ni oxides at 300K
DOI: 10.5281/zenodo.14917795
title: 100 samples of 5000 instances of categorical BNs from bnlearn's Bayesian Network Repository

description: We provide 100 samples, each containing 5000 instances, of discrete Bayesian Networks from bnlearn's Bayesian Network Repository. Specifically, the BNs, along with their characteristics, are:




NETWORK
#NODES
#EDGES
#PARAMETERS
MAX. PARENTS
MEAN DEGREE


Cancer
5
4
10
2
2.00


Earthquake
5
4
10
2
2.00


Survey
6
6
21
2
2.00


Asia
8
8
18
2
2.00


Sachs
11
17
178
3
3.09


Child
20
25
230
4
2.50


Insurance
27
52
230
4
2.50


Water
32
66
10083
5
4.12


Mildew
35
46
540150
3
2.63


Alarm
37
46
509
5
2.49


Barley
48
84
114005
4
3.50


Hailfinder
56
66
2656
4
2.36


Hepar2
70
123
1453
6
3.51


Win95pts
76
112
574
7
2.95


Pathfinder
109
195
72079
5
3.58


Munin1
186
273
15622
3
2.94


Andes
223
338
1157
6
3.03


Diabetes
413
602
429409
2
2.92


Pigs
441
592
5618
2
2.68


Link
724
1125
14211
3
3.11


Munin2
1003
1244 
69431
3
2.48


Munin4
1038
1388
80352
3
2.67


Munin3
1041
1306
71059
3
2.51


Munin
1041
1397
80592
3
2.68




 

Each dataset is sampled using Python and the bnlearn package. The BN structure is loaded from the .bif file using bif = bnlearn.import_DAG(path), and samples are generated with bnlearn.sampling(bif, n=5000, methodtype='bayes'). Post-processing is then applied to replace the generated numerical values with those categorical specified in the .bif structure file.

Additionally, ten extra old database samples of most BNs can be found on OpenML.
DOI: 10.5281/zenodo.14917796
title: 100 samples of 5000 instances of categorical BNs from bnlearn's Bayesian Network Repository

description: We provide 100 samples, each containing 5000 instances, of discrete Bayesian Networks from bnlearn's Bayesian Network Repository. Specifically, the BNs, along with their characteristics, are:




NETWORK
#NODES
#EDGES
#PARAMETERS
MAX. PARENTS
MEAN DEGREE


Cancer
5
4
10
2
2.00


Earthquake
5
4
10
2
2.00


Survey
6
6
21
2
2.00


Asia
8
8
18
2
2.00


Sachs
11
17
178
3
3.09


Child
20
25
230
4
2.50


Insurance
27
52
230
4
2.50


Water
32
66
10083
5
4.12


Mildew
35
46
540150
3
2.63


Alarm
37
46
509
5
2.49


Barley
48
84
114005
4
3.50


Hailfinder
56
66
2656
4
2.36


Hepar2
70
123
1453
6
3.51


Win95pts
76
112
574
7
2.95


Pathfinder
109
195
72079
5
3.58


Munin1
186
273
15622
3
2.94


Andes
223
338
1157
6
3.03


Diabetes
413
602
429409
2
2.92


Pigs
441
592
5618
2
2.68


Link
724
1125
14211
3
3.11


Munin2
1003
1244 
69431
3
2.48


Munin4
1038
1388
80352
3
2.67


Munin3
1041
1306
71059
3
2.51


Munin
1041
1397
80592
3
2.68




 

Each dataset is sampled using Python and the bnlearn package. The BN structure is loaded from the .bif file using bif = bnlearn.import_DAG(path), and samples are generated with bnlearn.sampling(bif, n=5000, methodtype='bayes'). Post-processing is then applied to replace the generated numerical values with those categorical specified in the .bif structure file.

Additionally, ten extra old database samples of most BNs can be found on OpenML.
DOI: 10.5281/zenodo.15088094
title: Factors related to well-being and psychological health in nursing students
DOI: 10.5281/zenodo.15088095
title: Factors related to well-being and psychological health in nursing students
DOI: 10.15468/dl.ahafuf
title: Occurrence Download

description: A dataset containing 23066 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Vicia lutea L., Vicia lutea Pall., Vicia lutea Pall. ex M.Bieb.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 23066 records from 733 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001809-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.23668/psycharchives.16188
title: Datasets and Codebooks for: Belief in a Norm‐Consistent Climate Policy Conspiracy Theory and Non‐Normative Collective Action

description: Believing in conspiracy theories is connected to support for non‐normative collective action. One explanation might be that this is due to both being non‐normative. Alternatively, it might be the case that non‐normative action appears justified based on what conspiracy theories alleging harm to a personally relevant group due to powerholders’ secret actions imply about social reality. To test this assumption, we focus on the belief in a norm‐consistent (i.e., popular and plausible) climate policy conspiracy theory alleging that powerful groups (i.e., politicians and the business sector) act without public oversight, leading to climate policies that suit their interests but are harmful to the public. Across three studies—one using a quota‐based German sample and two preregistered replications (Ntotal = 1257)—we investigate how the belief in such a theory relates to the endorsement of non‐normative collective action, and test whether this relationship also emerges for the belief in a norm‐inconsistent (i.e., implausible and unpopular) climate policy conspiracy theory suggesting a similar social reality (Study 3). Our data show that beliefs in both norm‐consistent and norm‐inconsistent climate policy conspiracy theories correlate positively with support for non‐normative collective action, while only the belief in a norm‐consistent climate policy conspiracy theory was related to normative collective action. In contrast, a stronger predisposition to believe in conspiracy theories (i.e., conspiracy mentality), albeit positively correlated with belief in a norm‐consistent climate policy conspiracy theory, was related to lower support for non‐normative collective action serving climate protection.
description: Datasets and Codebooks for: Pummerer, Ditrich, Winter, & Sassenberg (2025). Belief in a Norm‐Consistent Climate Policy Conspiracy Theory and Non‐Normative Collective Action. Journal of Applied Social Psychology
DOI: 10.6084/m9.figshare.28625300
title: Dataset Enhancing Innovative Work Behavior through Digital Mastery

description: Innovative work behavior is a crucial matter that determines the competitiveness and sustainability of a business. By utilizing the perspectives of organizational behavior and socio-technical theory, this article attempts to elaborate on the influence of digital mastery and learning agility on innovative work behavior. This article has involved 261 employees from several large electronic manufacturers in Indonesia to test the research model. The perceptual data obtained was processed using the structural equation modeling approach and the SmartPLS version 4.0 application. The results reveals that innovative work behavior is positively and significantly influenced by digital mastery. This article recommends paying attention to the essential role of learning agility. In developing innovative work behavior, combining the development of digital mastery with learning agility has a better outcomes.<i>Keywords</i>: innovative work behavior, learning agility, digital mastery, electronic manufacturer
DOI: 10.15468/dl.zte9ch
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Slovakia",
 "OccurrenceStatus is Present",
 "TaxonKey is Emys orbicularis (Linnaeus, 1758)",
 "Year 2000-2025"
 ]
}

 The dataset includes 19 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001810-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xtjm4n
title: Occurrence Download

description: A dataset containing 3343 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Vicia monantha Retz., Vicia monantha Desf.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3343 records from 143 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001811-250325103851331/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.28667765
title: Dataset for the publication: <b>Prior residents mediate density-dependent success in newly arriving reef fish</b>

description: Using a juvenile damselfish, we investigated how prior residents (early arrivers) influenced the success of newly arriving individuals (late arrivers) and how this changed over time as successive pulses of conspecifics were experimentally introduced at varying densities. We conducted a manipulative field experiment using a two-factor crossed design to examine behaviours and mortality trajectories, focusing on: (a) time of arrival (first to fourth pulses, staggered at ~10-12 day intervals to mimic natural settlement patterns), and (b) conspecific density (two, five or ten individuals per pulse). Our results showed that growth was negatively density-dependent, decreasing at higher conspecific densities. In addition, activity was influenced by both space limitations (due to density) and dominance status (due to priority of arrival). Aggressive interactions occurred most strongly between individuals closest in the social hierarchy, and between individuals in low-density assemblages, partially explaining mortality trajectories. These findings highlight the key role of priority effects in structuring fish assemblages and determining size- and age-based hierarchies.
DOI: 10.6084/m9.figshare.28667765.v1
title: Dataset for the publication: <b>Prior residents mediate density-dependent success in newly arriving reef fish</b>

description: Using a juvenile damselfish, we investigated how prior residents (early arrivers) influenced the success of newly arriving individuals (late arrivers) and how this changed over time as successive pulses of conspecifics were experimentally introduced at varying densities. We conducted a manipulative field experiment using a two-factor crossed design to examine behaviours and mortality trajectories, focusing on: (a) time of arrival (first to fourth pulses, staggered at ~10-12 day intervals to mimic natural settlement patterns), and (b) conspecific density (two, five or ten individuals per pulse). Our results showed that growth was negatively density-dependent, decreasing at higher conspecific densities. In addition, activity was influenced by both space limitations (due to density) and dominance status (due to priority of arrival). Aggressive interactions occurred most strongly between individuals closest in the social hierarchy, and between individuals in low-density assemblages, partially explaining mortality trajectories. These findings highlight the key role of priority effects in structuring fish assemblages and determining size- and age-based hierarchies.
DOI: 10.15468/dl.pgzq2a
title: Occurrence Download

description: A dataset containing 48 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-123.3651217403063 41.763193832565776, -123.36851257056271 41.76255188484953, -123.3716708578875 41.761426888258185, -123.37447517101926 41.75986210694991, -123.37681771457646 41.75791771308869, -123.37860847571086 41.75566846859861, -123.37977868175174 41.753200846020285, -123.38028343619754 41.75060970003967, -123.38010343280915 41.747994618420414, -123.37924568365013 41.745456093156925, -123.37774323521165 41.743091659254254, -123.37565388572348 41.74099214942186, -123.37305795487983 41.73923820816785, -123.37005519307323 41.7378971985327, -123.36676094953737 41.737020619443506, -123.3633017464254 41.7366421320137, -123.35981042786078 41.73677626981924, -123.35642106867327 41.737417882128646, -123.35326383636725 41.73854233121749, -123.35046000158702 41.74010643627989, -123.34811728688952 41.742050128104204, -123.34632573117754 41.74429875164501, -123.34515422808906 41.74676592889568, -123.34464787158934 41.74935687296728, -123.34482621181579 41.75197202683504, -123.34568248990597 41.75451088750532, -123.34718388332563 41.75687586891045, -123.34927275446213 41.75897605498872, -123.35186885644589 41.76073069827968, -123.35487241283 41.76207232886408, -123.35816795341347 41.76294935328101, -123.36162875857947 41.76332804261982, -123.3651217403063 41.763193832565776))",
 "Year is one of (2019, 2020, 2021, 2022, 2023, 2024, 2025)",
 "KingdomKey is one of (Animalia, Fungi, Plantae)"
 ]
}

 The dataset includes 48 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001812-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15075491
title: BETA-FOR_SP4_Nematodes_2022

description: We took four soil samples per patch (5cm diameter, 10 cm depth) within 30 cm radius from TOMST logger after roughly removing the litter. We pooled these samples per patch, sieved the soil (2mm) and extracted nematodes as soon as possible (nematodes need to be alive for this method) with the Baermann-Funnel Method. To do so, we used ~20 g fresh soil. After extraction, nematoes were fixed in 4% formalin, counted and 100 individuals (10% if more than 1000 in the sample) morphologically determined. The dry weight of the soil sample is determined and the number of nematodes of each taxa in 1 g dry weight is calculated.
description: Variables Description################

* patchLabel_BETAFOR: unique BETA-FOR patch label

*dwc:decimalLatitude: latitudinal coordinates of the patch in decimals

*dwc:decimalLongitude:  longitudinal coordinates of the patch in decimals

*dwc:samplingProtocol: The way the samples were taken

*startSampling: The date when the sampling period started

*endSampling: The date when the sampling period ended

*dwc:eventID: An identifier for the set of information associated with a measurement, in this case composed out of patch number and year

*dwc:measurementMethod: A description of the method or protocol used to determine the measurement

*dwc:scientificName: name of the species in binary nomenklature

*organismQuantity: number for the quantity of the respective nematode species

*organismQuantityType: The type of quantification system used for the quantity of nematodes.

*measurementDeterminedBy: person who performed the measurement
DOI: 10.5281/zenodo.15075492
title: BETA-FOR_SP4_Nematodes_2022

description: We took four soil samples per patch (5cm diameter, 10 cm depth) within 30 cm radius from TOMST logger after roughly removing the litter. We pooled these samples per patch, sieved the soil (2mm) and extracted nematodes as soon as possible (nematodes need to be alive for this method) with the Baermann-Funnel Method. To do so, we used ~20 g fresh soil. After extraction, nematoes were fixed in 4% formalin, counted and 100 individuals (10% if more than 1000 in the sample) morphologically determined. The dry weight of the soil sample is determined and the number of nematodes of each taxa in 1 g dry weight is calculated.
description: Variables Description################

* patchLabel_BETAFOR: unique BETA-FOR patch label

*dwc:decimalLatitude: latitudinal coordinates of the patch in decimals

*dwc:decimalLongitude:  longitudinal coordinates of the patch in decimals

*dwc:samplingProtocol: The way the samples were taken

*startSampling: The date when the sampling period started

*endSampling: The date when the sampling period ended

*dwc:eventID: An identifier for the set of information associated with a measurement, in this case composed out of patch number and year

*dwc:measurementMethod: A description of the method or protocol used to determine the measurement

*dwc:scientificName: name of the species in binary nomenklature

*organismQuantity: number for the quantity of the respective nematode species

*organismQuantityType: The type of quantification system used for the quantity of nematodes.

*measurementDeterminedBy: person who performed the measurement
DOI: 10.15468/dl.84jcz8
title: Occurrence Download

description: A dataset containing 767 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Global subterranean fishes"
 ]
}

 The dataset includes 767 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001813-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xqw2gx
title: Occurrence Download

description: A dataset containing 48 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-123.3651217403063 41.763193832565776, -123.36851257056271 41.76255188484953, -123.3716708578875 41.761426888258185, -123.37447517101926 41.75986210694991, -123.37681771457646 41.75791771308869, -123.37860847571086 41.75566846859861, -123.37977868175174 41.753200846020285, -123.38028343619754 41.75060970003967, -123.38010343280915 41.747994618420414, -123.37924568365013 41.745456093156925, -123.37774323521165 41.743091659254254, -123.37565388572348 41.74099214942186, -123.37305795487983 41.73923820816785, -123.37005519307323 41.7378971985327, -123.36676094953737 41.737020619443506, -123.3633017464254 41.7366421320137, -123.35981042786078 41.73677626981924, -123.35642106867327 41.737417882128646, -123.35326383636725 41.73854233121749, -123.35046000158702 41.74010643627989, -123.34811728688952 41.742050128104204, -123.34632573117754 41.74429875164501, -123.34515422808906 41.74676592889568, -123.34464787158934 41.74935687296728, -123.34482621181579 41.75197202683504, -123.34568248990597 41.75451088750532, -123.34718388332563 41.75687586891045, -123.34927275446213 41.75897605498872, -123.35186885644589 41.76073069827968, -123.35487241283 41.76207232886408, -123.35816795341347 41.76294935328101, -123.36162875857947 41.76332804261982, -123.3651217403063 41.763193832565776))",
 "Year is one of (2019, 2020, 2021, 2022, 2023, 2024, 2025)",
 "KingdomKey is one of (Animalia, Fungi, Plantae)"
 ]
}

 The dataset includes 48 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001814-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7td6xc
title: Occurrence Download

description: A dataset containing 2397 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Trachypithecus obscurus (Reid, 1837)"
 ]
}

 The dataset includes 2397 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001816-250325103851331/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/11171226
title: e-IPO Indonesia Data - Investment
DOI: 10.60656/ebd0b34162b6476e
title: Custom collection of radar data from Limassol between 18 Oct 2016 and 25 Mar 2018
DOI: 10.15468/dl.cymbst
title: Occurrence Download

description: A dataset containing 10189 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((16.843783345192087 48.24554173194217, 16.86415785954182 48.395021925760545, 16.743493712940417 48.402454178827085, 16.723472209355982 48.25294862636837, 16.843783345192087 48.24554173194217))"
 ]
}

 The dataset includes 10189 records from 71 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001817-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48597/vbrs-xsvn
title: Measurement of Inorganics in precipitation at Brekkebygda

description: Measurement of Inorganics in precipitation at Brekkebygda
DOI: 10.6084/m9.figshare.28328342
title: Summary of library sequencing data

description: Summary of library sequencing data
DOI: 10.6084/m9.figshare.28328378
title: Statistics of genome assembly and annotation

description: Statistics of genome assembly and annotation
DOI: 10.6084/m9.figshare.28328396
title: Gene function on Haplotype A

description: Gene function on Haplotype A
DOI: 10.6084/m9.figshare.28328405
title: Gene function on Haplotype B

description: Gene function on Haplotype B