cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29987176
title: Body weight-normalized quadriceps and gastrocnemius forces under different axial loads and joint angles

description: This study investigated the effect of changing limb angulation between an early and a mid-stance joint angle configuration, combined with either rigid femoral fixation or using a system that retained flexion/extension movement at the level of the proximal femur. Constructs were tested under axial loads of 10%, 20% and 30% of body weight axial loads.The quadriceps and gastrocnemius muscles were simulated with load cells and turnbuckles, and load cell outputs normalized to body weight. Data are provided for analysis using a repeated measures model.
DOI: 10.6084/m9.figshare.29987176.v1
title: Body weight-normalized quadriceps and gastrocnemius forces under different axial loads and joint angles

description: This study investigated the effect of changing limb angulation between an early and a mid-stance joint angle configuration, combined with either rigid femoral fixation or using a system that retained flexion/extension movement at the level of the proximal femur. Constructs were tested under axial loads of 10%, 20% and 30% of body weight axial loads.The quadriceps and gastrocnemius muscles were simulated with load cells and turnbuckles, and load cell outputs normalized to body weight. Data are provided for analysis using a repeated measures model.
DOI: 10.15468/64g4h4
title: Spider occurrences extracted from the '[The statistical research of the animal assemblages of the two communities in Kama’s floodplain] = Статистическое исследование животного населения двух сообществ Камской поймы'

description: The dataset contains spider occurrences extracted from the following article/book: [Baskina V., Fridman G. 1928. [The statistical research of the animal assemblages of the two communities in Kama’s floodplain] = Статистическое исследование животного населения двух сообществ Камской поймы // Тр. Биол. НИИ Пермск. ун-та. Т.1. Вып.2–3. С.183–295 + 3 табл. (рус., рез. англ.). [опр. Д.Е. Харитонов]] <b>Attention! As far as these were published in print, we strongly recommend to cite the original work along with this GBIF dataset!</b>Data were digitized within the Faunistics International project for the occurrence data extraction from the scientific literature: faunistic, taxonomical, ecological and other kinds. Full text is available here. Data are available here as well.
DOI: 10.21950/68ctb1
title: Effort Project. Parent experimental data and associated survey data

description: Parent experimental data and associated survey data: The dataset contains socioeconomic data and experimental measures of cognitive effort stemming from parents of a subset of the fifth-grade students who participated in the laboratory experiments. Effort-related non-cognitive (personality) variables that were collected for children were also collected for the parents, including Locus of Control, the Big Five, and Need for Cognition. The parents also completed a Raven matrices style IQ test. Data is also collected on parental perceptions of child's non-cognitive (personality) traits, how parents reward children for good grades, and Covid-related information including how parents and children were navigating the situation at work and school. It should be noted that many questions on this second survey that participating parents completed were repeated from the first parental survey administered when children were completing the experiments. If the same question was asked on first and second parental surveys, missing responses on second survey were filled in with non-missing responses from first survey. Responses may vary for certain questions depending on whether it was a different parent who answered the first versus second survey. Therefore, it is required that it was the same parent was answering in order for these missing responses to be imputed this way.
description: Some files in this dataset are embargoed until: 01/03/2027

<strong>See map</strong>
DOI: 10.15468/dl.4byede
title: Occurrence Download

description: A dataset containing 5360 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is French Polynesia",
 "OccurrenceStatus is Present",
 "TaxonKey is Bryophyta"
 ]
}

 The dataset includes 5360 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001791-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mhyhf3
title: Occurrence Download

description: A dataset containing 1816 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is French Polynesia",
 "OccurrenceStatus is Present",
 "TaxonKey is Marchantiophyta"
 ]
}

 The dataset includes 1816 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001792-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jb5zpa
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sibara macrostachya",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 21 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001794-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yhj3cu
title: Occurrence Download

description: A dataset containing 12822 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Marcusenius angolensis, Marcusenius macrophthalmus, Yasuhikotakia modesta, Marcusenius moorii, Marcusenius ntemensis, Ambastaia sidthimunki, Marcusenius rheni, Marcusenius schilthuisiae, Gymnotus carapo, Marcusenius stanleyanus, Marcusenius victoriae, Kryptopterus bicirrhis, Callichthys callichthys, Corydoras julii, Corydoras melanistius, Corydoras paleatus, Corydoras reticulatus, Mormyrops attenuatus, Mormyrops batesianus, Mormyrops boulengeri, Mormyrops citernii, Mormyrops curtus, Aplocheilus dayi, Mormyrops furcidens, Mormyrops intermedius, Mormyrops lineolatus, Mormyrops masuianus, Mormyrops microstoma, Mormyrops nigricans, Mormyrops parvus, Mormyrops sirenoides, Austrolebias nigripinnis, Mormyrops zanclirostris, Mormyrus bernhardi, Mormyrus casalis, Mormyrus caschive, Mormyrus cyaneus, Mormyrus iriodes, Mormyrus macrocephalus, Mormyrus niloticus, Mormyrus ovis, Mormyrus tenuirostris, Pterolebias longipinnis, Mormyrus thomasi, Myomyrus macrodon, Myomyrus macrops, Myomyrus pharao, Paramormyrops gabonensis, Paramormyrops jacksoni, Petrocephalus balayi, Petrocephalus binotatus, Limia melanogaster, Petrocephalus congicus, Petrocephalus haullevillii, Petrocephalus tanensis, Petrocephalus christyi, Petrocephalus cunganus, Petrocephalus gliroides, Petrocephalus grandoculis, Pollimyrus guttatus, Petrocephalus hutereaui, Petrocephalus keatingii, Petrocephalus microphthalmus, Monocirrhus polyacanthus, Badis badis, Petrocephalus schoutedeni, Petrocephalus simus, Petrocephalus squalostoma, Pollimyrus brevis, Pollimyrus maculipinnis, Ivindomyrus marchei, Pollimyrus nigricans, Pollimyrus nigripinnis, Pollimyrus pedunculatus, Cyphomyrus petherici, Pollimyrus plagiostoma, Pollimyrus pulverulentus, Pollimyrus schreyeni, Pollimyrus stappersii, Pollimyrus tumifrons, Stomatorhinus ater, Stomatorhinus corneti, Stomatorhinus fuliginosus, Stomatorhinus humilior, Stomatorhinus kununguensis, Stomatorhinus microps, Stomatorhinus patrizii, Stomatorhinus polli, Stomatorhinus polylepis, Stomatorhinus puncticulatus, Stomatorhinus schoutedeni, Stomatorhinus walkeri, Galaxias zebratus, Kneria angolensis, Kneria ansorgii, Kneria katangae, Kneria maydelli, Kneria paucisquamata, Kneria polli, Kneria sjolandersi)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 12822 records from 163 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001793-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/dp7who
title: Bureauonderzoek Archeologie Faunapassages Oostelijke Vechtplassen

description: Binnen het Oostelijke Vechtplassen gebied is in 2017 een gebiedsakkoord door 19 partijen ondertekend. Hiermee zijn afspraken vastgelegd om in tien jaar omvangrijke en complexe opgaven in het gebied gezamenlijk op te pakken en uit te voeren. Deze opgaven vinden plaats op het gebied van economie, natuur, water, recreatie & toerisme, cultuurhistorie en landschap. Onder de natuur opgaven valt ook het verbinden van de diverse natuurgebieden die het gebied kent, door het opheffen van infrastructurele barrières. Hiervoor zijn 14 locaties aangewezen voor de aanleg van faunapassages. Onderdeel van het ontwerpproces van deze 14 locaties is een onderzoek naar archeologie. In het kader van dit project heeft Arcadis Nederland B.V. een archeologisch bureauonderzoek uitgevoerd naar de 14 deellocaties in de Oostelijke Vechtplassen.
DOI: 10.5281/zenodo.15223118
title: Neural representations of attended and unattended features in multisensory working memory
DOI: 10.5281/zenodo.15223119
title: Neural representations of attended and unattended features in multisensory working memory
DOI: 10.15468/c3thtf
title: Spider occurrences extracted from the '[To the spider fauna (Aranei) of the South Yamal] = К фауне пауков (Aranei) Южного Ямала'

description: The dataset contains spider occurrences extracted from the following article/book: [Bakhvalov V.F., Korshunov Yu.P. 1976. [To the spider fauna (Aranei) of the South Yamal] = К фауне пауков (Aranei) Южного Ямала // Г.С. Золотаренко (отв. ред.). Фауна гельминтов и членистоногих Сибири. Тр. Биол. ин-та Сиб.отд. АН СССР. Вып.18. С.38–46 (рус.)] <b>Attention! As far as these were published in print, we strongly recommend to cite the original work along with this GBIF dataset!</b>Data were digitized within the Faunistics International project for the occurrence data extraction from the scientific literature: faunistic, taxonomical, ecological and other kinds. Full text is available here. Data are available here as well.
DOI: 10.15468/dl.c82dj4
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Avicennia officinalis",
 "HasCoordinate is true",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2010",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "not" : {
 "HasGeospatialIssue" : [
 "is true"
 ]
 }
 }
 ]
}

 The dataset includes 41 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001796-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18429609
title: Anonymized Student Event and Error Logs from a 3D Virtual Biotechnology Laboratory Procedural Training Environment

description: This dataset contains anonymized interaction logs collected from a 3D virtual laboratory used for procedural training in a biotechnology-style workflow. It is released to support open research in learning analytics, educational data mining, intelligent tutoring systems, and sequence modeling of student behavior.

The deposition includes three semicolon-separated CSV files in UTC time: (1) StudentEvents.csv, an event stream of student actions and system events referenced by protocol keys; (2) Errors.csv, tutor-detected errors that distinguish between pedagogically relevant/non-blocking events and blocking errors (e.g., unmet dependencies, incompatibilities, repeated actions), including the event key associated with the error; and (3) ErrorsNoTutor.csv, low-level interaction errors detected without tutor intervention (e.g., spatial/interaction constraints with 3D objects).

Each record is linked through an anonymized StudentId, enabling per-student reconstruction of action sequences and error trajectories. The dataset can be used to study procedural skill acquisition, error-driven learning, feedback design, and to benchmark predictive models of next action / error occurrence in complex simulated environments.
DOI: 10.5281/zenodo.18429610
title: Anonymized Student Event and Error Logs from a 3D Virtual Biotechnology Laboratory Procedural Training Environment

description: This dataset contains anonymized interaction logs collected from a 3D virtual laboratory used for procedural training in a biotechnology-style workflow. It is released to support open research in learning analytics, educational data mining, intelligent tutoring systems, and sequence modeling of student behavior.

The deposition includes three semicolon-separated CSV files in UTC time: (1) StudentEvents.csv, an event stream of student actions and system events referenced by protocol keys; (2) Errors.csv, tutor-detected errors that distinguish between pedagogically relevant/non-blocking events and blocking errors (e.g., unmet dependencies, incompatibilities, repeated actions), including the event key associated with the error; and (3) ErrorsNoTutor.csv, low-level interaction errors detected without tutor intervention (e.g., spatial/interaction constraints with 3D objects).

Each record is linked through an anonymized StudentId, enabling per-student reconstruction of action sequences and error trajectories. The dataset can be used to study procedural skill acquisition, error-driven learning, feedback design, and to benchmark predictive models of next action / error occurrence in complex simulated environments.
DOI: 10.15468/dl.t3emff
title: Occurrence Download

description: A dataset containing 102 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is French Polynesia",
 "OccurrenceStatus is Present",
 "TaxonKey is Anthocerotophyta"
 ]
}

 The dataset includes 102 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001795-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5061/dryad.0000000dm
title: Models incorporating non-stationarity improve detection of climate-driven range shifts in odontocetes

description: Aim: Climate change is causing distributional shifts in many species
 globally. Identifying and anticipating these shifts is critical to
 understanding ecosystem impacts and implementing successful management
 strategies. Species distribution models (SDMs) are useful tools often
 employed to describe current and changing habitat use, particularly for
 marine predators. However, most SDMs assume the statistical relationships
 between species and their environment are temporally static, which may not
 be true. We examined how incorporating temporal variability improved SDM
 performance and estimated range shifts for six odontocete species. We used
 a high-performing model to quantify changes in odontocete distribution
 over a 24-year period. Location: Waters of the United States, east coast,
 from Florida to Nova Scotia. Methods: We utilized nearly 1.4 million
 kilometers of line transect survey data collected from 1997-2020 along the
 east coast of the United States to evaluate changes in the distribution of
 six odontocete species. We assessed six model specifications of generalize
 additive models that varied in the extent of temporal and spatial
 variability incorporated. Results: We found that the best performing model
 specifications included temporally dynamic species-environment
 relationships and temporally dynamic spatial terms. These model
 specifications identified significant poleward range shifts in all species
 for which we had sufficient data across their range. In contrast, model
 specifications which only included static terms performed poorly and
 identified limited or no spatial shifts. Main conclusions: These results
 advance our predictive capabilities from static species-environment
 relationships for marine predators and demonstrate the importance of
 carefully considering assumptions and model specifications when modeling
 changes to distributions. The odontocete range shifts we identified are
 likely to have substantial ecosystem impacts, and the framework we present
 offers a diagnostic approach for modeling and identifying range shifts in
 other wide-ranging species.
description: Refer to the associated manuscript for details.
description: # Models incorporating non-stationarity improve detection of
 climate-driven range shifts in odontocetes
 [https://doi.org/10.5061/dryad.0000000dm](https://doi.org/10.5061/dryad.0000000dm) ## Description of the data and file structure Line transect survey data of 6 species of odontocetes collected from 1997 - 2020 on the eastern seaboard of North America from Florida to Nova Scotia. ### Files and variables #### File: src_public_2.zip **Description:** contains all source files used for analyses. Additional README is contained within the folder. #### File: data_public_2.7z **Description:** contains all data used for analyses. Additional README is contained within the folder. ## Code/software R (any version) is the only software needed to read these files.
DOI: 10.5281/zenodo.18429745
title: Experimental DLS, zeta potential and TEM-derived size data for nanodiamonds and carbon dots in aqueous environments

description: This dataset contains DLS, zeta potential, and TEM-derived nanoparticle size data for carbon dots and nanodiamonds in aqueous environments. The data were collected to assess aggregation behavior, surface charge, and stability under varying dispersion conditions, including ionic strength, pH, and the presence of organic additives.

The dataset supports the findings reported in Fiket Ž. et al. (2025), Environmental Science: Nano (DOI: 10.1039/d5en00264h).
DOI: 10.5281/zenodo.15213327
title: TABLE 1 in Water mites from Mount Kinabalu and the Crocker Range, Borneo, Malaysia (Acari: Hydrachnidia), with the description of 34 new species

description: TABLE 1. Measurements of Atractides cognatus (K. Viets, 1935) and A. propatulus (K. Viets, 1935) from Borneo.
A.cognatusA. propatulusMahua stream, ♂Mahua stream, ♀Kemantis stream, ♂Kemantis stream, ♀Idiosoma length398694481715Idiosoma width330560386-Coxal field length230369284341Cx-I+II medial length83125108123Cx-I+II lateral length234184225Cx-III width245431297447Genital field length7013492147Genital field width85146104169Genital plates length-114-114Ac-1-3 length20–21, 25–24, 28–3134–35, 34–35, 42–4331–32, 35, 3244–45, 47, 45Palp, total length221316234314P1 dorsal length/height22/1934/2420/2129/28P2 dorsal length/height40/2259/3548/3469/48P3 dorsal length/height59/21.595/316072987/38P4 dorsal length/height71/1593/21.575/1894/25P5 dorsal length/height29/935/1431/11–1235/15P1 dorsal length/height ratio1.171.420.961.02P2 dorsal length/height ratio1.791.651.41.45P3 dorsal length/height ratio2.73.12.12.3P4 dorsal length/height ratio4.854.34.13.8P5 dorsal length/height ratio3.22.52.72.3dorsal length P2/P4 ratio0.570.630.640.74I-leg-5 dorsal length123198129206I-leg-5 ventral length6612788138I-leg-5 dorsal length/ventral length ratio1.851.561.471.49I-leg-5 height29533261I-leg-5 dorsal length/heght ratio4.23.74.03.4S-1 length8612362102S-1 length/width ratio13.911.011.28.3S-2 length63835483S-2 length/width ratio6.94.65.64.5S-1-2 interspace24291323S-1/2 length ratio1.371.481.141.23I-leg-6 dorsal length11418087142I-leg-6 height11141919I-leg-6 dorsal length/height ratio10.412.74.57.4I-leg-5/6 length ratio1.081.11.481.45
description: Published as part of Smit, Harry & Pešić, Vladimir, 2014, Water mites from Mount Kinabalu and the Crocker Range, Borneo, Malaysia (Acari: Hydrachnidia), with the description of 34 new species, pp. 22 in Zootaxa 3876 (1) on page 22, DOI: 10.11646/zootaxa.3876.1.1, http://zenodo.org/record/287281
DOI: 10.5281/zenodo.15213328
title: TABLE 1 in Water mites from Mount Kinabalu and the Crocker Range, Borneo, Malaysia (Acari: Hydrachnidia), with the description of 34 new species

description: TABLE 1. Measurements of Atractides cognatus (K. Viets, 1935) and A. propatulus (K. Viets, 1935) from Borneo.
A.cognatusA. propatulusMahua stream, ♂Mahua stream, ♀Kemantis stream, ♂Kemantis stream, ♀Idiosoma length398694481715Idiosoma width330560386-Coxal field length230369284341Cx-I+II medial length83125108123Cx-I+II lateral length234184225Cx-III width245431297447Genital field length7013492147Genital field width85146104169Genital plates length-114-114Ac-1-3 length20–21, 25–24, 28–3134–35, 34–35, 42–4331–32, 35, 3244–45, 47, 45Palp, total length221316234314P1 dorsal length/height22/1934/2420/2129/28P2 dorsal length/height40/2259/3548/3469/48P3 dorsal length/height59/21.595/316072987/38P4 dorsal length/height71/1593/21.575/1894/25P5 dorsal length/height29/935/1431/11–1235/15P1 dorsal length/height ratio1.171.420.961.02P2 dorsal length/height ratio1.791.651.41.45P3 dorsal length/height ratio2.73.12.12.3P4 dorsal length/height ratio4.854.34.13.8P5 dorsal length/height ratio3.22.52.72.3dorsal length P2/P4 ratio0.570.630.640.74I-leg-5 dorsal length123198129206I-leg-5 ventral length6612788138I-leg-5 dorsal length/ventral length ratio1.851.561.471.49I-leg-5 height29533261I-leg-5 dorsal length/heght ratio4.23.74.03.4S-1 length8612362102S-1 length/width ratio13.911.011.28.3S-2 length63835483S-2 length/width ratio6.94.65.64.5S-1-2 interspace24291323S-1/2 length ratio1.371.481.141.23I-leg-6 dorsal length11418087142I-leg-6 height11141919I-leg-6 dorsal length/height ratio10.412.74.57.4I-leg-5/6 length ratio1.081.11.481.45
description: Published as part of Smit, Harry & Pešić, Vladimir, 2014, Water mites from Mount Kinabalu and the Crocker Range, Borneo, Malaysia (Acari: Hydrachnidia), with the description of 34 new species, pp. 22 in Zootaxa 3876 (1) on page 22, DOI: 10.11646/zootaxa.3876.1.1, http://zenodo.org/record/287281
DOI: 10.5281/zenodo.18429744
title: Experimental DLS, zeta potential and TEM-derived size data for nanodiamonds and carbon dots in aqueous environments

description: This dataset contains DLS, zeta potential, and TEM-derived nanoparticle size data for carbon dots and nanodiamonds in aqueous environments. The data were collected to assess aggregation behavior, surface charge, and stability under varying dispersion conditions, including ionic strength, pH, and the presence of organic additives.

The dataset supports the findings reported in Fiket Ž. et al. (2025), Environmental Science: Nano (DOI: 10.1039/d5en00264h).