cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15269729
title: TABLE 2 in Alburnus nasreddini, a synonym of A. escherichii (Teleostei: Leuciscidae)

description: TABLE 2. Meristic data of Alburnus escherichii and A. nasreddini (FFR 00827; FFR 04641; FFR 004629).
Lateral line scalesN4546474849505152A. escherichii3032674413A. nasreddini213244431-Transverse scales between lateral-line andDorsal-fin originAnal-fin originN891045A. escherichii3015133146A. nasreddini211011-174Branched dorsal-fin raysBranched anal-fin raysN78912131415A. escherichii30-23761572A. nasreddini21120-1371-Gill rakersN1213141516A. escherichii1525431A. nasreddini151761-
description: Published as part of Bayçelebi, Esra, Turan, Davut, Kaya, Cüneyt & Freyhof, Jörg, 2020, Alburnus nasreddini, a synonym of A. escherichii (Teleostei: Leuciscidae), pp. 125 in Zootaxa 4894 (1) on page 125, DOI: 10.11646/zootaxa.4894.1.7, http://zenodo.org/record/4315570
DOI: 10.15468/dl.rmd6kg
title: Occurrence Download

description: A dataset containing 7305 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Lactuca sativa L.",
 "Year 1979-2019"
 ]
}

 The dataset includes 7305 records from 303 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008853-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/t56-t2a-qnp
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/qt9-v0t-v93
title: Cystopteris Bernh.

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/v8z-4wd-043
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/stb-cqj-emk
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/tga-9bv-bh3
title: Orthiopteris Copel.

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ehc-pej-8yf
title: Pyrgo Defrance, 1824

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/kjq-f7a-3lq
title: Zelkova Spach

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/4c0-b09-lhn
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/zcg-pf6-78q
title: Gluta L.

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/grc-k6n-8j4
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/skv-3xf-cfz
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/6e2-fxd-xb5
title: Voacanga Thouars

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/xa0-e06-eg3
title: Orthiopteris Copel.

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/y4m-bz4-g79
title: Sporadotrema Hickson, 1911

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/5mq-pxq-v92
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/m8p-vnr-8n3
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/4x2-xy0-gfd
title: Voacanga Thouars

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/bjt-8xb-z0x
title: Orthiopteris Copel.

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.kntabz
title: Occurrence Download

description: A dataset containing 67 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tridax procumbens",
 "Country is Viet Nam",
 "HasCoordinate is true"
 ]
}

 The dataset includes 67 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024217-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/jxh-j27-y8d
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ks0-9wf-m81
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/e3g-rw2-pfr
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ns3-qw5-90s
title: Orthiopteris Copel.

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/pmz-b13-lsz
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/5zj-z0h-rrb
title: Voacanga Thouars

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/fq7-t5c-22e
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/1el-9tn-w80
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/9re-280-jrl
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/k4c-20n-tn3
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/0bf-y1h-25k
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/3l6-417-vn1
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.urk7rm
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tridax procumbens",
 "Country is Yemen",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024218-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/1af-x3f-qw7
title: Sphaerogypsina globulus (Reuss, 1848)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/50q-crb-be1
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/bye-05e-td0
title: Operculina d'Orbigny, 1826

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/yd7-nzw-hpe
title: Croton L.

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/r7n-v00-ea7
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/8sf-88p-3lx
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/lla-8gk-4nn
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/p96-xry-mf6
title: Fagus L.

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/m7b-gcl-yf6
title: Voacanga Thouars

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/swc-snr-98j
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/9s4-3jk-z8a
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/v4y-x75-t4j
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.17632/mcyf43jcj7.1
title: GREPAQ_Nerve conduction in OA cats_2025

description: Feline somatosensory impairments associated with aging and osteoarthritis (OA) can be quantified through quantitative sensory testing and nerve conduction (NC). This prospective, randomized study aimed to compare NC in healthy (CTRL, n = 6) and older OA (OLD, n = 12) cats. 
Under temperature-controlled general anesthesia, amplitude and conduction velocity (CV) of mixed tibial/sciatic and ulnar nerves were measured. Structural (radiographic score), functional [MI-CAT(V)] alterations and neuro-sensitization [paw withdrawal threshold (PWT); response to mechanical temporal summation (RMTS)] were assessed. Data distribution governed tests for inter-group comparison, and outcomes correlation (α = 5%).
OLD cats presented higher radiographic and MI-CAT(V) scores, but lower PWT, RMTS, motor CV (–23%), motor (–35%) and sensory (–45%) amplitudes compared to CTRL. A strong positive correlation was observed between functional and structural alterations (r = 0.71, p = 0.001), as well as with age (r = 0.90, p &lt; 0.001) and neuro-sensitization (p &lt; 0.016). Radiographic and MI-CAT(V) scores correlated negatively with (distal) motor CVs (p &lt; 0.044), and with some motor and sensory amplitudes (p &lt; 0.035). The PWTs correlated positively to CVs (p &lt; 0.045). 
Elderly OA cats exhibited NC alterations, correlated with neuro-sensitization, and higher than expected with age alone.
DOI: 10.17632/rb9ht5bn78
title: Radiological Exam Scheduling Times in Public Healthcare (Aragon, Spain): A Cleaned Dataset from IACS and SERAM

description: This dataset provides information about radiological procedures carried out in public hospitals in the Spanish region of Aragón during a representative month of scheduled (non-emergency) activity. It has been compiled from two main sources:

- The SERAM catalog (Spanish Society of Medical Radiology) from 2004 and 2009, which offers standardized estimated durations for a wide variety of radiological procedures.

- Anonymized hospital scheduling records extracted from the Hospital Information System (HIS), provided by the Aragonese Institute of Health Sciences (IACS).

The resulting dataset is a merged and cleaned version of the SERAM standards and the IACS hospital logs. The original SERAM data was extracted from PDFs and converted to structured format (Excel), followed by a meticulous cleaning process.

However, it is important to clarify several aspects regarding data quality and interpretation:

The so-called “actual duration” (duracion_real) values do not reflect the real execution time of radiological procedures. Instead, they refer to agenda slot durations allocated in the hospital's scheduling system. In other words, they represent planned time blocks, not the actual time a patient enters or exits the radiology room. To obtain real-time clinical execution data, it would be necessary to access the Radiology Information System (RIS), which logs precise timestamps of image acquisition, patient preparation, and post-procedure cleaning. Such access was not available. Therefore, these timing values may be overestimated or generalized, and do not account for operational variability inherent to clinical settings.

Despite these limitations, the dataset remains valuable for several use cases:

- As a foundation for synthetic data generation.
- For workflow modeling, bottleneck analysis, or resource planning studies, especially when complemented with assumptions or artificial enhancements.
- As a baseline structure for healthcare simulation frameworks.

Its utility lies primarily in simulation, modeling, and educational applications for data analysis, rather than precise clinical auditing. So even though this dataset does not fit perfectly fine-grained clinical efficiency analyses, it is a representation and a structured approximation from radiological studies in the real world.

The dataset contains 103.204 rows from different radiology deparments. It is fully anonymized and contains no personal or sensitive information. All fields, including column names are in spanish languaje but a translation and explanation of all fields is given.

Field metadata descriptions is given below in the uploaded file "metadata_description.txt"
DOI: 10.17632/rb9ht5bn78.2
title: Radiological Exam Scheduling Times in Public Healthcare (Aragon, Spain): A Cleaned Dataset from IACS and SERAM

description: This dataset provides information about radiological procedures carried out in public hospitals in the Spanish region of Aragón during a representative month of scheduled (non-emergency) activity. It has been compiled from two main sources:

- The SERAM catalog (Spanish Society of Medical Radiology) from 2004 and 2009, which offers standardized estimated durations for a wide variety of radiological procedures.

- Anonymized hospital scheduling records extracted from the Hospital Information System (HIS), provided by the Aragonese Institute of Health Sciences (IACS).

The resulting dataset is a merged and cleaned version of the SERAM standards and the IACS hospital logs. The original SERAM data was extracted from PDFs and converted to structured format (Excel), followed by a meticulous cleaning process.

However, it is important to clarify several aspects regarding data quality and interpretation:

The so-called “actual duration” (duracion_real) values do not reflect the real execution time of radiological procedures. Instead, they refer to agenda slot durations allocated in the hospital's scheduling system. In other words, they represent planned time blocks, not the actual time a patient enters or exits the radiology room. To obtain real-time clinical execution data, it would be necessary to access the Radiology Information System (RIS), which logs precise timestamps of image acquisition, patient preparation, and post-procedure cleaning. Such access was not available. Therefore, these timing values may be overestimated or generalized, and do not account for operational variability inherent to clinical settings.

Despite these limitations, the dataset remains valuable for several use cases:

- As a foundation for synthetic data generation.
- For workflow modeling, bottleneck analysis, or resource planning studies, especially when complemented with assumptions or artificial enhancements.
- As a baseline structure for healthcare simulation frameworks.

Its utility lies primarily in simulation, modeling, and educational applications for data analysis, rather than precise clinical auditing. So even though this dataset does not fit perfectly fine-grained clinical efficiency analyses, it is a representation and a structured approximation from radiological studies in the real world.

The dataset contains 103.204 rows from different radiology deparments. It is fully anonymized and contains no personal or sensitive information. All fields, including column names are in spanish languaje but a translation and explanation of all fields is given.

Field metadata descriptions is given below in the uploaded file "metadata_description.txt"
DOI: 10.17632/2d8n8khxdj.3
title: Data of the Integration between Catalytic Evaluation and Life Cycle Assessment for Sustainable γ-Valerolactone Production from Biomass

description: This dataset provides supporting information for the environmental and process assessment of γ-valerolactone (GVL) production from lignocellulosic biomass in Colombia. The data include the raw experimental results of Cu–Ni/SiO₂ catalysts during the vapor-phase hydrogenation of levulinic acid (LA), the simulation backup files developed in Aspen Plus v14 for each feedstock evaluated (sugarcane bagasse, corn stover, and rice straw), and the corresponding mass and energy balances for all process stages (acid hydrolysis, LA production, GVL synthesis, and heat generation).
Additionally, the dataset contains detailed energy demand tables for hot and cold utilities of each internal process, as well as impact assessment results for the base and alternative scenarios. The alternative scenarios include the use of bio-based isopropanol and green hydrogen. The dataset also provides balances for bio-based isopropanol and solar hydrogen production systems.
DOI: 10.17632/kzbxv7f7z4
title: CATENA-research data

description: Groundwater dynamics in China's drylands
DOI: 10.17632/kzbxv7f7z4.2
title: CATENA-research data

description: Groundwater dynamics in China's drylands
DOI: 10.17632/6pf8ny2w8z
title: Surface Evolution Machine Learning Python Codes

description: This depository contains Python codes of ANN, CNN, RF, and Regression models for forward surface evolution and ANN models for inverse problem, both with depth and width, and full profile inputs. It also contains the experimental dataset. 

ANN.ipynb: Forward surface evolution using ANN
CNN.ipynb: Forward surface evolution using CNN
Reg.ipynb: Forward surface evolution using Nonlinear Regression
RF.ipynb: Forward surface evolution using Random Forest
Inverse_Full_Profile.ipynb: Inverse surface evolution using full profiles of channels as inputs
Inverse_depth_width.ipynb: Inverse surface evolution using depth and width of the channels as inputs
Experimental_profiles_fitted.csv: Experimental Dataset
DOI: 10.17632/6pf8ny2w8z.1
title: Surface Evolution Machine Learning Python Codes

description: This depository contains Python codes of ANN, CNN, RF, and Regression models for forward surface evolution and ANN models for inverse problem, both with depth and width, and full profile inputs. It also contains the experimental dataset. 

ANN.ipynb: Forward surface evolution using ANN
CNN.ipynb: Forward surface evolution using CNN
Reg.ipynb: Forward surface evolution using Nonlinear Regression
RF.ipynb: Forward surface evolution using Random Forest
Inverse_Full_Profile.ipynb: Inverse surface evolution using full profiles of channels as inputs
Inverse_depth_width.ipynb: Inverse surface evolution using depth and width of the channels as inputs
Experimental_profiles_fitted.csv: Experimental Dataset
DOI: 10.15468/dl.ty6vhf
title: Occurrence Download

description: A dataset containing 2900 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Germany",
 "DecimalLongitude is greater than or equal to 6.70464757252417",
 "DecimalLongitude is less than 6.70770712570857",
 "DecimalLatitude is greater than or equal to 47.27011",
 "DecimalLatitude is less than or equal to 55.05864"
 ]
}

 The dataset includes 2900 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045160-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/76p7hn68z8
title: Population genetics of Chresta

description: Data used in analyses shown in the article "Reduced gene flow and high population structure in four species of Chresta (Compositae, Vernonieae) from the Brazilian Caatinga represent challenges for their conservation", under revision at FLORA.
DOI: 10.15468/dl.vgwrtp
title: Occurrence Download

description: A dataset containing 198 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-111.7188 28.04913, -111.5688 28.04913, -111.5688 28.19913, -111.7188 28.19913, -111.7188 28.04913))"
 ]
}

 The dataset includes 198 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045161-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/76p7hn68z8.1
title: Population genetics of Chresta

description: Data used in analyses shown in the article "Reduced gene flow and high population structure in four species of Chresta (Compositae, Vernonieae) from the Brazilian Caatinga represent challenges for their conservation", under revision at FLORA.
DOI: 10.34740/kaggle/dsv/13792093
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.17632/nm233hnd6y
title: Dataset of scattered images using noncoherent light under varying diffusion conditions and projected patterns

description: This dataset consists of grayscale image pairs, where each pair includes a scattered input image and its corresponding ground truth projection. The data was acquired using a custom, low-cost optical setup built around a Raspberry Pi, which projects structured patterns through various optical diffusers and captures the resulting scattered light with a digital camera. All images are stored in PNG format with a resolution of 256×256 pixels and 8-bit depth.
Data collection was performed under different scattering conditions, achieved by employing multiple diffusers with varying physical thicknesses and scattering coefficients. The projected patterns comprise digits, geometric figures, and textures, providing a diverse set of visual features. Each dataset entry thus offers a direct mapping between a scattered observation and the original undistorted pattern, supporting research on deep learning-based image restoration and scattering compensation.
DOI: 10.17632/nm233hnd6y.4
title: Dataset of scattered images using noncoherent light under varying diffusion conditions and projected patterns

description: This dataset consists of grayscale image pairs, where each pair includes a scattered input image and its corresponding ground truth projection. The data was acquired using a custom, low-cost optical setup built around a Raspberry Pi, which projects structured patterns through various optical diffusers and captures the resulting scattered light with a digital camera. All images are stored in PNG format with a resolution of 256×256 pixels and 8-bit depth.
Data collection was performed under different scattering conditions, achieved by employing multiple diffusers with varying physical thicknesses and scattering coefficients. The projected patterns comprise digits, geometric figures, and textures, providing a diverse set of visual features. Each dataset entry thus offers a direct mapping between a scattered observation and the original undistorted pattern, supporting research on deep learning-based image restoration and scattering compensation.
DOI: 10.17632/z7vj86kzm7
title: Fatigue and Health-Related Quality of Life in Health Sciences professors
DOI: 10.17632/z7vj86kzm7.1
title: Fatigue and Health-Related Quality of Life in Health Sciences professors
DOI: 10.17632/6sbsnndtjc
title: Urban Planning Expert Questionnaire on Neighborhood Service Weighting

description: Urban Planning Expert Questionnaire on Neighborhood Service Weighting
DOI: 10.17632/6sbsnndtjc.1
title: Urban Planning Expert Questionnaire on Neighborhood Service Weighting

description: Urban Planning Expert Questionnaire on Neighborhood Service Weighting