cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18119874
title: Linked collectors and determiners for: Schmidt Museum of Natural History_Mammals.

description: Natural history specimen data linked to collectors and determiners held within, "Schmidt Museum of Natural History_Mammals". Claims or attributions were made on Bionomia by volunteer Scribes, https://bionomia.net/dataset/8a5459ee-3d3a-4e0a-9fb0-0cbbb9e5a6f9 using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, https://gbif.org/dataset/8a5459ee-3d3a-4e0a-9fb0-0cbbb9e5a6f9. Formatted as a Frictionless Data package.
DOI: 10.5281/zenodo.18119871
title: Linked collectors and determiners for: Field Museum of Natural History (Botany) Bryophyte Collection.

description: Natural history specimen data linked to collectors and determiners held within, "Field Museum of Natural History (Botany) Bryophyte Collection". Claims or attributions were made on Bionomia by volunteer Scribes, https://bionomia.net/dataset/8a43c2b7-5976-457d-9f35-a232655efdcc using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, https://gbif.org/dataset/8a43c2b7-5976-457d-9f35-a232655efdcc. Formatted as a Frictionless Data package.
DOI: 10.5281/zenodo.18119876
title: Linked collectors and determiners for: CRSN-Lwiro Herbarium, Kahuzi-Biega National Park (CABIN project).

description: Natural history specimen data linked to collectors and determiners held within, "CRSN-Lwiro Herbarium, Kahuzi-Biega National Park (CABIN project)". Claims or attributions were made on Bionomia by volunteer Scribes, https://bionomia.net/dataset/8a91ff89-2dcc-4cfc-a4fb-a8ab97f28102 using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, https://gbif.org/dataset/8a91ff89-2dcc-4cfc-a4fb-a8ab97f28102. Formatted as a Frictionless Data package.
DOI: 10.5281/zenodo.18119875
title: Linked collectors and determiners for: Northern Arizona University - Arthropod Collection.

description: Natural history specimen data linked to collectors and determiners held within, "Northern Arizona University - Arthropod Collection". Claims or attributions were made on Bionomia by volunteer Scribes, https://bionomia.net/dataset/8a6232d7-f93e-45a3-8b16-556aa732cd39 using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, https://gbif.org/dataset/8a6232d7-f93e-45a3-8b16-556aa732cd39. Formatted as a Frictionless Data package.
DOI: 10.5281/zenodo.18119877
title: Linked collectors and determiners for: Fauna asociada (endocárstica) a cuevas en el municipio de El Peñón, Santander - Proyecto Colombia BIO.

description: Natural history specimen data linked to collectors and determiners held within, "Fauna asociada (endocárstica) a cuevas en el municipio de El Peñón, Santander - Proyecto Colombia BIO". Claims or attributions were made on Bionomia by volunteer Scribes, https://bionomia.net/dataset/8aad9e02-2337-4836-83d6-bb505b2b2d11 using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, https://gbif.org/dataset/8aad9e02-2337-4836-83d6-bb505b2b2d11. Formatted as a Frictionless Data package.
DOI: 10.15468/dl.6knhuh
title: Occurrence Download

description: A dataset containing 11292 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Packera aurea",
 "HasCoordinate is true"
 ]
}

 The dataset includes 11292 records from 138 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070485-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yr7sxh
title: Occurrence Download

description: A dataset containing 2422 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aeshna cyanea (Müller, 1764)",
 "Country is one of (Denmark)"
 ]
}

 The dataset includes 2422 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059911-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rvrhjq
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Aniba affinis (Meisn.) Mez"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0129836-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vzwurj
title: Occurrence Download

description: A dataset containing 3713 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pseudacris feriarum (Baird, 1854)"
 ]
}

 The dataset includes 3713 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012108-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a2pxsy
title: Occurrence Download

description: A dataset containing 862150 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Nepal",
 "OccurrenceStatus is Present",
 "Year 2000-2024"
 ]
}

 The dataset includes 862150 records from 273 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059910-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.oviwxm
title: Occurrence Download

description: A dataset containing 75297311 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 75297311 records from 1718 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012115-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14903712
title: Table S1: Demographic and clinical characteristics stratified by CFS and PNI in older patients undergoing intermediate- to high-risk non-cardiac surgery; Table S2: Postoperative complications and outcomes stratified by CFS and PNI in older patients undergoing intermediate- to high-risk non-cardiac surgery.
DOI: 10.5281/zenodo.14903713
title: Table S1: Demographic and clinical characteristics stratified by CFS and PNI in older patients undergoing intermediate- to high-risk non-cardiac surgery; Table S2: Postoperative complications and outcomes stratified by CFS and PNI in older patients undergoing intermediate- to high-risk non-cardiac surgery.
DOI: 10.5281/zenodo.14175271
title: Simulation dataset for New Insights on the High Reconnection Rate and the Diminishment of Ion Outflow

description: The dataset contains simulation data used in the paper of "New Insights on the High Reconnection Rate and the Diminishment of Ion Outflow". Data are generated from a particle-in-cell simulation using the VPIC code. Please see the paper for the descriptions of the simulation setup.

The fields_moments.gda files in runs.7z are fields and plasma moments data of the simulations presented in the paper. The time step in unit of twci for each simulation is: A1:0.025, A2:0.1, A3:0.25, A4:0.25, A5:0.5, B1:0.1, B2:0.1, B3:0.1, B4:0.025, B5:0.05, C1:0.02, C2:0.02. Each file contains float-type data arrays with a size of (Lx/Δ)×1×(Lz/Δ), corresponding to x-y-z dimensions, respectively. Lx, Lz and Δ for each simulation are presented in the paper. Data can be read by softwares like IDL, python, matlab, etc., using the standard data reading methods.

The runs_Hparticle_t_x_z files contain ion particle data for the time step t, for the domain of x=[x-0.03, x+0.03]di, z=[z-0.03,z+0.03]di. The files are IDL save files. To read the data, use restore, file=file in IDL. Each data chunk constitues of the following variables in order: all_vxs, all_vys, all_vzs, ws, all_xs, all_ys. Here all_vxs, all_vys and all_vzs are velocities in unit of light speed (c); all_xs and all_ys are x and z locations in unit of de; ws represents the weight of the particles, so the contribution of a particle to the phase space density needs to multiply by this ws factor (In the paper, ws factors are re-normalized while the relative weights between particles remain the same).
DOI: 10.5281/zenodo.14175270
title: Simulation dataset for New Insights on the High Reconnection Rate and the Diminishment of Ion Outflow

description: The dataset contains simulation data used in the paper of "New Insights on the High Reconnection Rate and the Diminishment of Ion Outflow". Data are generated from a particle-in-cell simulation using the VPIC code. Please see the paper for the descriptions of the simulation setup.

The fields_moments.gda files in runs.7z are fields and plasma moments data of the simulations presented in the paper. The time step in unit of twci for each simulation is: A1:0.025, A2:0.1, A3:0.25, A4:0.25, A5:0.5, B1:0.1, B2:0.1, B3:0.1, B4:0.025, B5:0.05, C1:0.02, C2:0.02. Each file contains float-type data arrays with a size of (Lx/Δ)×1×(Lz/Δ), corresponding to x-y-z dimensions, respectively. Lx, Lz and Δ for each simulation are presented in the paper. Data can be read by softwares like IDL, python, matlab, etc., using the standard data reading methods.

The runs_Hparticle_t_x_z files contain ion particle data for the time step t, for the domain of x=[x-0.03, x+0.03]di, z=[z-0.03,z+0.03]di. The files are IDL save files. To read the data, use restore, file=file in IDL. Each data chunk constitues of the following variables in order: all_vxs, all_vys, all_vzs, ws, all_xs, all_ys. Here all_vxs, all_vys and all_vzs are velocities in unit of light speed (c); all_xs and all_ys are x and z locations in unit of de; ws represents the weight of the particles, so the contribution of a particle to the phase space density needs to multiply by this ws factor (In the paper, ws factors are re-normalized while the relative weights between particles remain the same).
DOI: 10.5281/zenodo.14903696
title: AMPERE Summary Plot Movies (2014-Jun)

description: 2014-Jun AMPERE summary plot movies. See included zenodo_summary_plot_movie_description document for details.
DOI: 10.5281/zenodo.14903697
title: AMPERE Summary Plot Movies (2014-Jun)

description: 2014-Jun AMPERE summary plot movies. See included zenodo_summary_plot_movie_description document for details.
DOI: 10.6084/m9.figshare.28451315
title: The annotation files of the <i>Procypris rabaudi</i> genome

description: Rock carp (<i>Procypris rabaudi</i>), an endemic fish species native to the upper reaches of the Yangtze River, has experienced a significant decline in wild populations due to anthropogenic impacts such as hydropower development, overfishing, and habitat destruction. To support conservation efforts and elucidate the species' adaptive mechanisms, we conducted a comprehensive genomic analysis. Here, we present the genome annotation of <i>P. rabaudi</i>, which includes 45,784 protein-coding genes. Of these, 94.78% have been functionally annotated in at least one protein database. This dataset has been deposited in a public database to facilitate further research and conservation strategies for this endangered species.
DOI: 10.34740/kaggle/dsv/10810224
title: cypto_data
DOI: 10.15468/dl.cp4ft8
title: Occurrence Download

description: A dataset containing 6345 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Dicrurus andamanensis Beavan, 1867",
 "Year 2000-2025"
 ]
}

 The dataset includes 6345 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004495-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ar5j4u
title: Occurrence Download

description: A dataset containing 28771 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Galloperdix spadicea (J.F.Gmelin, 1789)",
 "Year 2000-2025"
 ]
}

 The dataset includes 28771 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004496-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g6tak7
title: Occurrence Download

description: A dataset containing 679 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Deuterophlebiidae"
 ]
}

 The dataset includes 679 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004497-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wvxzu9
title: Occurrence Download

description: A dataset containing 3833 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Vincetoxicum rossicum (Kleopow) Barbar.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is Canada",
 "Year is one of (1900, 1901, 1902, 1903, 1904, 1905, 1906, 1907, 1908, 1909, 1910, 1911, 1912, 1913, 1914, 1915, 1916, 1917, 1918, 1919, 1920, 1921, 1922, 1923, 1924, 1925, 1926, 1927, 1928, 1929, 1930, 1931, 1932, 1933, 1934, 1935, 1936, 1937, 1938, 1939, 1940, 1941, 1942, 1943, 1944, 1945, 1946, 1947, 1948, 1949, 1950, 1951, 1952, 1953, 1954, 1955, 1956, 1957, 1958, 1959, 1960, 1961, 1962, 1963, 1964, 1965, 1966, 1967, 1968, 1969, 1970, 1971, 1972, 1973, 1974, 1975, 1976, 1977, 1978, 1979, 1980, 1981, 1982, 1983, 1984, 1985, 1986, 1987, 1988, 1989, 1990, 1991, 1992, 1993, 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024)"
 ]
}

 The dataset includes 3833 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004498-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qk84jp
title: Occurrence Download

description: A dataset containing 766 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (North America, South America)",
 "PublishingOrg is one of (c3ad790a-d426-4ac1-8e32-da61f81f0117, 8483a1f0-1032-11db-ae00-b8a03c50a862, 3c6ad080-bdbe-11da-ac59-b8a03c50a862, 69e7f900-ed5b-11dd-ac7e-b8a03c50a862, b4640710-8e03-11d8-b956-b8a03c50a862, 192a9ab0-5565-11d8-b290-b8a03c50a862, bc092ff0-02e4-11dc-991f-b8a03c50a862, 2b8e48b0-812d-11de-86fe-b8a03c50a862, ff90b050-c256-11db-b71b-b8a03c50a862)",
 "TaxonKey is Rhizoprionodon terraenovae (Richardson, 1836)"
 ]
}

 The dataset includes 766 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004499-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14903517
title: Inferring Geocenter Motion from Low-Degree Gravity Field

description: The dataset contains degree-1 Stokes coefficients (i.e. geocenter motion) derived from low-degree SLR gravity fields based on the forward modeling technique and geophysical models for the period 2002 to 2020.
DOI: 10.5281/zenodo.14903742
title: AMPERE Summary Plot Movies (2014-Jul)

description: 2014-Jul AMPERE summary plot movies. See included zenodo_summary_plot_movie_description document for details.
DOI: 10.5281/zenodo.14903743
title: AMPERE Summary Plot Movies (2014-Jul)

description: 2014-Jul AMPERE summary plot movies. See included zenodo_summary_plot_movie_description document for details.
DOI: 10.5281/zenodo.14576033
title: Behavioral Emotion Recognition Dataset (BERD)

description: Abstract: The Behavioral Emotion Recognition Dataset (BERD) was developed as part of the research study titled "Behavioral Research Methodologies for Bodily Emotion Recognition." This dataset comprises motion capture data collected from participants performing emotional body movements under various experimental conditions. It is designed to facilitate the development and evaluation of automatic emotion recognition (AER) systems using bodily movement data. The dataset offers insights into the effects of participant acting expertise, motion capture device types, and emotional stimuli on bodily emotion recognition accuracy.

Key Features:

1.    (Expertise) Participant Data:



Actors: Professional actors with at least three years of acting experience.

Non-actors: General participants with no formal acting training.

Test: General participants with no formal acting training for test


2.    (Devices) Motion Capture Devices:



Marker-based motion capture (Optitrack system with 18 infrared cameras).

Pose estimation using RGB videos.

Kinect motion capture.

Mobile phone motion capture (iPhone 12 with ARKit).


3.    (Stimulus) Emotional Stimulus:



Word instructions (e.g., "happy," "sad").

Picture stimuli (Karolinska Directed Emotional Faces dataset).

Video stimuli (validated emotional film clips).


4.    Emotions Recorded:



Seven categories: happy, sad, surprised, angry, disgusted, fearful, and neutral.


5.    Data Format:



Skeletal data represented as 3D joint coordinates.

Sampling rate: 30 frames per second.

File format: CSV.


Potential Applications:



Developing deep learning models for bodily emotion recognition.

Studying the impact of data collection conditions on emotion recognition accuracy.


Citation: If you use this dataset in your research, please cite it as follows:



Cho, Y., Jung, M., Bae, J., & Kim, K. (2024). Behavioral Emotion Recognition Dataset (BERD). Zenodo. DOI: [https://zenodo.org/records/14576033]
DOI: 10.5281/zenodo.14576032
title: Behavioral Emotion Recognition Dataset (BERD)

description: Abstract: The Behavioral Emotion Recognition Dataset (BERD) was developed as part of the research study titled "Behavioral Research Methodologies for Bodily Emotion Recognition." This dataset comprises motion capture data collected from participants performing emotional body movements under various experimental conditions. It is designed to facilitate the development and evaluation of automatic emotion recognition (AER) systems using bodily movement data. The dataset offers insights into the effects of participant acting expertise, motion capture device types, and emotional stimuli on bodily emotion recognition accuracy.

Key Features:

1.    (Expertise) Participant Data:



Actors: Professional actors with at least three years of acting experience.

Non-actors: General participants with no formal acting training.

Test: General participants with no formal acting training for test


2.    (Devices) Motion Capture Devices:



Marker-based motion capture (Optitrack system with 18 infrared cameras).

Pose estimation using RGB videos.

Kinect motion capture.

Mobile phone motion capture (iPhone 12 with ARKit).


3.    (Stimulus) Emotional Stimulus:



Word instructions (e.g., "happy," "sad").

Picture stimuli (Karolinska Directed Emotional Faces dataset).

Video stimuli (validated emotional film clips).


4.    Emotions Recorded:



Seven categories: happy, sad, surprised, angry, disgusted, fearful, and neutral.


5.    Data Format:



Skeletal data represented as 3D joint coordinates.

Sampling rate: 30 frames per second.

File format: CSV.


Potential Applications:



Developing deep learning models for bodily emotion recognition.

Studying the impact of data collection conditions on emotion recognition accuracy.


Citation: If you use this dataset in your research, please cite it as follows:



Cho, Y., Jung, M., Bae, J., & Kim, K. (2024). Behavioral Emotion Recognition Dataset (BERD). Zenodo. DOI: [https://zenodo.org/records/14576033]
DOI: 10.15468/dl.z2v4vw
title: Occurrence Download

description: A dataset containing 142 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((128.46511627906975 -3.3444767441860392,132.46511627906975 -3.3444767441860392,132.46511627906975 0.6555232558139608,128.46511627906975 0.6555232558139608,128.46511627906975 -3.3444767441860392))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cheilinus undulatus Rüppell, 1835"
 ]
}

 The dataset includes 142 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004500-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48324/dandi.001340/0.250221.0527
title: Nucleus accumbens dopamine release reflects Bayesian inference during instrumental learning

description: Dataset associated with https://www.biorxiv.org/content/10.1101/2023.11.10.566306v2
DOI: 10.15468/dl.j6xumw
title: Occurrence Download

description: A dataset containing 5653070 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 5653070 records from 1531 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004494-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25340/r4/pkrdpo
title: Related Data for: Identifying plant healthy indicators of five tropical perennials using certain leaf physiological traits during drought stress and re-watering

description: Perennials improve soil strength and stabilize the slope. However, they are very prone to drought stress (DS). To identify plant health indicators, this study investigated the responses of five tropical perennials commonly grown in Singapore’s slope to DS and re-watering (RW) in the greenhouse. The durations for mild, intermediate, and severe DS defined as T1, T2, and T3, respectively, before RW were based on the extents of reduced Fv/Fm ratio (maximal quantum efficiency of PSII) and the levels of wilting. After RW, soil water content (SWC) increased until field capacity in all DS soil, although they were significantly lower than in well-watered (WW) soil. Overall, the Fv/Fm ratios and leaf water content (LWC) decreased significantly in all DS plants compared to those of WW plants, but all increased to the similar level as WW plants after RW. Nitrogen deficiency did not occur in any plants during DS. There were clear positive correlations of SWC with Fv/Fm ratios, LWC, effective quantum yield of PSII (∆F/Fm’), electron transport rate (ETR), and photochemical quenching (qP) for all species. To monitor plant health, it would recommend using both non-destructive measurements such as SWC and Fv/Fm ratios and destructive parameters like LWC, ∆F/Fm’, ETR, and qP.
DOI: 10.5281/zenodo.14899651
title: Experimental setup for comparing machine learning methods on complex pendulum motion

description: Experimental setup (learner code, data generator) for comparing different sequence processors on a dataset generated from motion variables of a pendulum with exponentially-increasing string length.

The dataset tests the behaviour of sequence processors on out-of-distribution data because the values of the motion parameters get into new value ranges as the string length increases, although they observe the same underlying laws.