cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.3922he
title: Occurrence Download

description: A dataset containing 788 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Microsteris gracilis (Douglas ex Hook.) Greene",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 788 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012854-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/8y7628b96z
title: HealthRiskData_Ver_3

description: This health data set also contains 16 attributes collected from different clinical lab and hospital on the basis of which risk analysis can be done
DOI: 10.17632/94jdn39s98
title: Effect of the beginning of a special interdisciplinary rehabilitation program with injuries of the hand

description: The objective of this study was the evaluation of the outcome of a special interdisciplinary therapy program depending on the beginning of the rehabilitation. The outcome of a specialized hand rehabilitation immediately after as well as short-term follow-up of 76 patients with injuries of the hand respectively wrist and CRPS was analysed with the use of self-assessed parameters and objective functional scores. The patients were divided into a group with an early (&lt; 120 days after trauma) or late beginning of the rehabilitation. Better results for the early beginners were shown with statistical significance for the DASH–Score as well as ROM at follow-up. Especially patients with CRPS and finger injuries had a benefit. The study shows the importance of an early beginning especially with respect to function. There are differences in between different injuries or diseases with respect to these effects, especially patients with CRPS seem to profit.
DOI: 10.17632/74256hwwyw
title: Data for PAMS and ROGs comparison

description: The shared dataset was the characterization and sources of PAMS and ROGs including 4 tables:
Table 1. Carbon concentration, OH reactivity and secondary organic aerosol formation potential of PAMS and ROGs.
Table 2. Average diurnal variations of selected ROGs during the campaign.
Table 3. The mass distributions of each species among these factors for 6 PAMS sources and 9 ROGs sources.
Table 4. Relative contributions, OH reactivity and SOA formation potential per mass emission from various sources for PAMS and ROGs.
DOI: 10.6084/m9.figshare.28429730.v1
title: in vitro digestion study on four functional soups, analyzing their bioactivity at different digestion stages compared to undigested samples

description: We conducted an in vitro digestion study on four functional soups, analyzing their bioactivity at different digestion stages compared to undigested samples. analyses included:<b>Anticholinesterase inhibition</b> – Evaluating potential neuroprotective effects, possibly linked to anti-Alzheimer's activity.<b>ABTS & DPPH assays</b> – Measuring antioxidant capacity.<b>Anti-GR (Glutathione Reductase) & Anti-GPX (Glutathione Peroxidase) activity</b> – Assessing redox balance and potential protective effects against oxidative stress.<b>SOD (Superoxide Dismutase) activity</b> – Determining the ability to counteract superoxide radicals.
DOI: 10.17632/ytxmkyzgr4
title: Contralateral suppression of TEOAE for various noises

description: The present research was carried out to measure the magnitude of contralateral suppression of transient evoked otoacoustic emission (TEOAE) for various noises. The TEOAE was recorded using Echoport ILO292-II otoacoustic emission system (Otodynamics Ltd., Hatfield, UK). The recorded TEOAE files are included in the dataset. Please refer 'readme.txt' file provided in the dataset for more information. This data is related to the study: Kalaiah, M. K., Nanchirakal, J. F., Kharmawphlang, L., & Noronah, S. C. (2017). Contralateral suppression of transient evoked otoacoustic emissions for various noise signals. Hearing, Balance and Communication, 15(2), 84-90. http://dx.doi.org/10.1080/21695717.2017.1311504
DOI: 10.17632/vpmm4s3svg
title: Data for: Experimental evidence that fungal symbionts of bark and ambrosia beetles suppress decomposition of pine sapwood by competing with wood decay fungi.

description: Results of wood decay assays involving known wood-decaying fungi and bark beetle-associated fungi.
DOI: 10.17632/sv94wzsgzc
title: Mathematics Discourse Tier 1 and 2 Analysis Data

description: Quantitative data for Mathematics Discourse in Secondary Teacher Candidates’ Lessons: A Mixed Methods Analysis.
DOI: 10.6084/m9.figshare.19945191.v1
title: Thermogravimetric and spectroscopic study (TG–DTA/FT–IR) of activated carbon from the renewable biomass source babassu

description: Activated carbons (ACs) with well–developed microstructure and high microporosity were obtained from biomass by potassium hydroxide activation. The preparation process consisted in producing carbon materials in the ratios of activating agent to raw material 70:30, 50:50, 30:70 and 25:75 (w/w) characterized by thermal analysis coupled to spectroscopy (TG–DTA / FT–IR), scanning electron microscopy (SEM), N2 adsorption isotherms at –196 ºC and activation isotherm at 500 and 600 ºC for 3.0 h. Specific surface areas (SBET) within 728 and 1712 m2 g-1 and (Smic) within 1054 and 1923 m2 g-1 were obtained, while the micropores surface area was calculated using the Dubinin-Astakhov (DA) equation and the pore size distribution calculated from density functional theory (DFT) was found to be in the range 1.09 – 1.77 nm. Adsorption isotherms were fitted using Langmuir and Freundlich non–linear models and the adsorption capacity determined for methylene blue dye was between 27.13 and 459.20 mg g-1.
DOI: 10.6084/m9.figshare.28828403.v2
title: data

description: data
DOI: 10.17632/ck9f455vtt
title: Scrap tyres pyrolysis dataset

description: This dataset represents a collected information were 45% comes from a paper published and the rest are generated using a model. This way, a set of 100 entrances including three inputs are represented for pyrolysis of scrap tyres. The output is the pyrolytic oil yiel percentage. It can be used for modeling purposes in this specific subject, limited to a feed based on truck tyres.
DOI: 10.17632/dwth772x62
title: Photo Archive of In Situ Benthic Imagery from the Lophelia Coral Conservation Area

description: The Lophelia Coral Conservation Area (LCCA) was established in 2004 to protect the only known cold-water coral reef in eastern Canada. In order to evaluate the effectiveness of the closure (Beazley et al. 2021), benthic fauna were quantified from underwater images taken in 2003, 2009, and 2015 from each of three different strata:  1) inside the Lophelia reef footprint (LRF; Inside Reef),  2) inside the LCCA but outside of the LRF (Inside Closure), and 3) outside of the LCCA (Outside Closure)  (Korabik et al. 2021). In addition, photos and video imagery were collected in 2002, 2007 and in 2018 (Beazley et al. 2019) and are included although they were not analyzed in Beazley et al. (2021). Here we provide the original photos for each of these strata/years in support of future monitoring of this area. Not all of these photos have been analyzed. In 2022 the LCCA was incorporated into the Eastern Canyons Conservation Area (ECCA).

Version 3 includes an update to the Photo Archive Metadata to include a column indicating whether the photo was analyzed or not in Beazley et al. (2021). Additionally a spreadsheet of the abundance of each taxon per analyzed photo is included. Taxon names are matched with the images presented in Korabik et al. (2021). 

References (see linked files)
BEAZLEY, L., C. LIRETTE & J. GUIJARRO,  2019. Characterization of the corals and sponges of the Eastern Scotian Slope from a benthic imagery survey. Canadian Technical Report of Fisheries and Aquatic Sciences 3302: vi + 83 p
BEAZLEY, L., E. KENCHINGTON, M. KORABIK, D. FENTON & M. KING, 2021. Other effective area-based conservation measure promotes recovery in a cold-water coral reef. Global Ecology and Conservation 26, e01485. 
KORABIK, M., E. BAKER, L. BEAZLEY, S. THOMPSON, M.  BOUCHARD MARMEN & E. KENCHINGTON, 2021. A Pictorial Guide to the Epibenthic Megafauna of the Lophelia Coral Conservation Area Identified from In Situ Benthic Images. Canadian Technical Report of Fisheries and Aquatic Sciences 3430: v + 142 p.
DOI: 10.17632/hf9fy55wbp
title: Tidak Ada Paksaan Dalam Agama - Saeful Karim : Kritikal Review Yan Nurcahya

description: Abstract: Syaiful Karim or Saeful Karim and also known as Father Guru Saiful Karim is an ustaz whose studies often go viral on social media, especially on TikTok. Even though he is known as a preacher, academically, Syaiful Karim is a physics lecturer at the Indonesian University of Education (UPI). The circulation of videos of misleading religious lectures from Syaiful Karim which are widely circulated on TIK Tok has caused inflammation to the Chairman of Barisan Kesatria Nusantara BKN center Muhammad Rofi’I Mukhlis. How could this video not be very misleading? This Critical Review of Cerahamh, from Saeful Karim provides corrections for inaccuracies in the meaning and information regarding his lecture on There is No Compulsion in Religion. In the modern era, humans are sophisticated today. When there is a YouTuber, or a name that is famous and excited at that time. It will influence the YouTuber to check the ongoing information and of course will mislead the YouTuber when the information/lecture delivered is not true.

Keywords: Saiful Karim, Prayer, No Coercion, Religion

Abstrak: Syaiful Karim atau Saeful Karim dan biasa juga dipanggil dengan Ayahanda Guru Saiful Karim merupakan seorang ustaz yang kajiannya kerap viral di media sosial, khususnya di TikTok. Meski dikenal sebagai seorang pendakwah, namun secara akademik, Syaiful Karim merupakan dosen fisika di Universitas Pendidikan Indonesia (UPI). Beredarnya video ceramah agama yang menyesatkan dari Syaiful Karim yang banyak beredar di TIK Tok membuat radang Ketua Barisan Kesatria Nusantara BKN pusat Muhammad Rofi’I Mukhlis. Bagaimana tidak video itu sangat menyesatkan. Kritikal Review Cerahamh, dari Saeful Karim ini menyampaikan koreksi dari ketidaktepatan dengan makna dan informasi mengenai ceramahnya tentang Tidak ada Paksaan Dalam Agama. Di era modern, manusia canggih saat ini. Ketika ada youtuber, atau nama yang terkenal dan heboh pada saat tersebut. Akan mempengaruhi youtuber untuk mengecek info yang berlangsung tersebut  dan tentunya akan menyesatkan youtuber tersebut ketika informasi/ceramah yang disampaikan memang tidak benar.

Kata Kunci: Saiful Karim, Solat, Tidak ada Paksaan, Agama
DOI: 10.17632/2jjbpvfm72
title: Transcriptome Dataset

description: Transcriptome data in pancreatic tissues with Chronic Pancreatitis (CP; n=3) , Pancreatic ductal adenocarcinoma with a background of CP (PDAC-CP; n=4) and Pancreatic ductal adenocarcinoma (PDAC; n=2) and controls (Con; n=3) were generated to understand and identify markers that have a role in the early neoplastic transformation of chronic pancreatitis
DOI: 10.17632/b7vhyd982r
title: Metadata about IOT in Agriculture and Climate Change

description: Search made at Web of Science on September, 2023.

Search query:  

item Topic: "IoT"
Topic: "agricult* OR agribusi*"
Citation Topics Meso: 6.153 Climate Change
DOI: 10.17632/dx2nbz6yrc
title: Atmospheric electric field data observed from two low-latitude Indian stations (2023-2024)

description: In West Bengal, India, we have set up two electric field mills (EFM-100 by Boltek, https://www.boltek.com/EFM-100C_Manual_121415.pdf) on the rooftops of buildings at a height of ∼30 and ∼60 feet, respectively, at Srikrishna College Bagula (BGL, 23.3306 N, 88.6431) and SKB University Purulia (PRL, 23.3608 N, 86.3395 E). Both sensors are mounted in an inverted position to minimize precipitation noise. The standard range of the EFM-100 sensor is ±20 kV/m. The EFM can detect electric field disturbances up to 30 km from the installation site. The two locations are roughly 235 km apart and nearly at the same latitude. Compared to BGL, a rural location with lower levels of air pollution and electromagnetic noise, PRL is an industrial urban area with higher levels of air pollution. The output of the EFM-100 actually corresponds to a potential gradient popularly known as PG. We termed EFM output as atmospheric electric field (AEF) which is the same as PG. This data set contains fair-weather monthly and seasonal AEF data of 2023-2024 from BGL and PRL. The AEF of BGL location is corrected with a proper correction factor, but the AEF of PRL is the rooftop raw data as obtained from EFM (Faruque et al., 2025).
DOI: 10.6084/m9.figshare.24996233.v1
title: <i>Osmia cornifrons</i> larvae mortality

description: Data collected from June to August of 2023, x-ray scan was used to dertemine larval development.
DOI: 10.17035/d.2018.0050524986
title: Behavioural machine activity for benign and malicious Win7 64-bit executables

description: The two datasets here record behavioural activity for malicious and benign executable files capable of running on a Windows 7 operating system.   Dataset 1:      filename = "data_1.csv"     594 benign samples      595 malicious samples     Up to 305 seconds (5:05 min) execution per file     The data was collected in a VirtualBox[1] virtual machine using Cuckoo Sandbox[2] with a custom package written in the Java library, Sigar[3] to collect the machine activity data.      The virtual machine used 2GB RAM, 25 GB storage, and a single CPU core running 64-bit Windows 7.  Dataset 2:      filename = "data_2.csv"     2345 benign samples      2286 malicious samples     Up to 20 seconds execution per file     The data was collected in a VirtualBox[1] virtual machine using Cuckoo Sandbox[2] with a custom package written in the python library, Psutil[4] to collect the machine activity data.      The virtual machine used 8GB RAM, 25 GB storage, and a single CPU core running 64-bit Windows 7.   Columns      sample_id: an identifier value for the samples (categorical)     vector: time in seconds since start of file execution (numeric)     malware: class label 0=benign, 1=malicious (categorical)     cpu_sysem: percentage of cpu being used to run programs in system kernel (numeric)     cpu_user: percentage of cpu being used to run programs in user space (numeric)     memory: bytes currently being used in memory (numeric)     swap: bytes currently being used in swap memory (numeric)     total_pro: total number of processes running (numeric)     max_pid: maximum process id held by a process (numeric)     rx_bytes: number of bytes being received (numeric)     tx_bytes: number of bytes being sent (numeric)     rx_packets: number of packets being received (numeric)      tx_packets: number of packets being sent (numeric)     test_set: True=sample belongs to test set, False=sample belongs to training set   Dataset 2 only:      family: malware type - value missing if unknown or benign (categorical)     variant: malware variant - value missing unknown or benign (categorical)     test-set: file was first seen before October (categorical)   [1] https://www.virtualbox.org/wiki/Downloads  [2] https://cuckoosandbox.org/   [3] https://github.com/hyperic/sigar   [4] https://pypi.org/project/psutil/
DOI: 10.17632/y9fw6k37n9
title: BengaliVQA : A Benchmark Dataset for Bengali Visual Question Answering

description: The Balanced Bengali VQA dataset consists of 3,280 images paired with 13,046 human-annotated yes/no questions and answers. The dataset is balanced to mitigate linguistic bias, offering a robust resource for Bengali visual question-answering research. This dataset serves as a valuable resource for advancing research in Bengali-language visual question answering.
DOI: 10.17632/htyxdh29w7
title: Quantum game simulator, using the circuit model of quantum computation

description: Abstract We present a general two-player quantum game simulator that can simulate any two-player quantum game described by a 2 × 2 payoff matrix (two strategy games).The user can determine the payoff matrices for both players, their strategies and the amount of entanglement between their initial strategies. The outputs of the simulator are the expected payoffs of each player as a function of the other player's strategy parameters and the amount of entanglement. The simulator also produces contour ... Title of program: Quantum Game Simulator (QGS) Catalogue Id: AEED_v1_0 Nature of problem Simulation of two player quantum games described by a payoff matrix. Versions of this program held in the CPC repository in Mendeley Data AEED_v1_0; Quantum Game Simulator (QGS); 10.1016/j.cpc.2009.05.007 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
DOI: 10.17632/gnbw3nmt69
title: Phase Separation of FOXA1 Unpacks the Condensed Chromatin to Function as a Pioneer Factor

description: Eukaryotic DNA is packaged into chromatin in the nucleus, which restricts the binding of transcription factors (TFs) to the target DNA sites. FOXA1 functions as a pioneer TF to bind condensed chromatin and initiate the opening of local chromatin for gene expression. However, the principles of how FOXA1 recruits to and unpacks the condensed chromatin remain elusive. Here, we revealed that FOXA1 intrinsically undergoes phase separation through its N- and C-terminal intrinsically disordered regions (IDRs). Notably, the property that allows FOXA1 to phase separate enables FOXA1 to dissolve the condensed chromatin. In addition, the DNA-binding capacity of FOXA1 contributes to its phase-separation property. Further genome-wide investigation showed that FOXA1 is recruited to and unpacks the condensed chromatin by its IDRs to regulate the proliferation and migration of breast cancer cells. This work provides a principle of how pioneer TFs function to initiate competent chromatin states by phase separation.
DOI: 10.17632/3hcbt8259f
title: Data for: Effectiveness Evaluation of Online Advertisements with a Two- stage Method Based on Gaussian Filter and Decision Tree

description: 14 Datasets used in experiments contain user data of the day of online advertisements from a cross-border e-commerce enterprise from September 1st (9.01) to September 14th (9.14), 2018. Table 3 summarizes the 14 datasets. Each instance of the datasets represents the corresponding online advertisement and is described by 22 attributes.
DOI: 10.17632/ctyv7mjy6v
title: WristWidget retrospective 2019

description: Clinical data of patients with arthroscopically confirmed TFCC lesion including preoperative weight bearing capacity tests. We tested the difference between weight bearing capacity of the injured hand compared to the healthy hand and to the injured hand with WristWidget. Further analysis compared the groups: traumatic vs degenerative lesion; stable vs unstable DRUJ determined by the need for a stabilising operation. Data includes Patient ID, age at time of injury/symptom onset (A_Verletzung), handedness (R_L, right=1), injured side (Verl_R_L, right=1, left=2), supposed aetiology (Trauma: 1=traumatic, 2= degenerative), DASH-score (DASH_T0, points), time until examination (Verl_bis_T0, days), pain on forced supination/pronation (fPronation_T0 and fSupination_T0, yes=1, no=2), clinical stability of the DRUJ of the affected hand (DRUG_Stab_T0, 1=unstable, 2=stable), clinical stability of the DRUJ of the other hand (DRUG_Stab_K_T0, 1=unstable, 2=stable), pain on pressure on the ulnar fovea (TFCC_Druck_T0, yes=1, no=2), pain on forced ulnarduction (Abkant_T0, yes=1, no=2), handgrip of both hands (Jamar_R_T0 for right and Jamar_L_T0 for left, in kg), weight bearing capacity in kg of both hands (WB for weight bearing, li for left, re for right, krank for affected hand, gesund for other hand, in kg), weight bearing capacity of both hands with wristwidget (WB for weight bearing, WW for wristwidget), extension of the wrist during weight bearing test (Ext_max_re/li_T0 in degrees), derived variables concerning the weight bearing test (WB_Proz_T0 = WB_krank_T0/WB_gesund_T0; Diff_WW... = WB_WW- WB in kg; Proz_WB_WW... =WB_WW/WB*100), range of motion in degrees for dorsal/palmarflexion (D_re/li_T0 and P_re/li_T0, re for right, li for left), ulnar/radialduction (U_re/li_T0 and R_re/li_T0, re for right, li for left), pro/supination (Sup_re/li_T0 and Pro_re/li_T0, re for right, li for left), range of motion (Summe_ROM_re/li_T0 = D+P+U+R), sum of pronation and supination (Summe_SP_re/li_T0), range of motion of affected hand relative to other hand (ROM_Proz_T0= Summe_ROM_aa_T0 / Summe_ROM_bb_T0*100 with aa=Verl_R_L and re for right and li for left), sum of pronation and supination compared to the other hand (ROM_SP_Proz_T0=Summe_SP_aa_T0/Summe_SP_bb_T0), the same with differentiation between affected hand (krank) and other hand (gesund) differentiation between traumatic and degenerative lesions in the MRI report (MRT_ukb_traumatischdegenerativ, 0=no injury seen, 1=traumatic, 2=degenerative, MRI field strength (Tesla, value in Tesla, some missing values), static ulnar variance (Röntgenbefund_Ulna, , dynamic ulnar variance in mm, weight bearing test capacity during x-ray, derived variables regarding the weight bearing test, information about stabilising operation, information about intraoperative assessment on type of lesion (traumatic/degenerative). Further information on request as description field is limited.
DOI: 10.6084/m9.figshare.23596764.v2
title: ClusterDE_datasets

description: We propose ClusterDE, a post-clustering DE method for controlling the false discovery rate (FDR) of identified DE genes regardless of clustering quality. The core idea of ClusterDE is to generate real-data-based synthetic null data with only one cluster, as a counterfactual in contrast to the real data, for evaluating the whole procedure of clustering followed by a DE test. This folder contains datasets used in the paper.
DOI: 10.17632/txhgch5cw2
title: Global Virtual Teams dataset 2020

description: Data tracking KPIs for numerous global virtual teams.
DOI: 10.15468/dl.pdmquq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Argentina Linnaeus, 1758",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((35.9648 1.8496,26.9648 1.8496,26.9648 -7.1504,35.9648 -7.1504,35.9648 1.8496))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012855-250525065834625/datasets/export for details.