cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7622528
title: Code Review of Build System Specifications: Prevalence, Purposes, Patterns, and Perceptions (Replication Package)

description: Online appendix for "Code Review of Build System Specifications: Prevalence, Purposes, Patterns, and Perceptions", in the Proceedings of the International Conference on Software Engineering (ICSE), 2023.
DOI: 10.5281/zenodo.7042929
title: Code Review of Build System Specifications: Prevalence, Purposes, Patterns, and Perceptions (Replication Package)

description: Online appendix for "Code Review of Build System Specifications: Prevalence, Purposes, Patterns, and Perceptions", in the Proceedings of the International Conference on Software Engineering (ICSE), 2023.
DOI: 10.15783/c7-hpaw-8b51
title: CRAWDAD dataset it/vr2marketbaiaotrial (v. 2019-09-16)

description: Dataset that contains simultaneous GPS traces collected at 1 Hz from a team of firefighters during a forest fire exercise. The traces were generated by Android phones placed in each of four firefighters and a generic GPS device placed in the firetruck.
description: Changelog: the initial version
DOI: 10.6073/pasta/afab3900b0911b41c4356545a6243bac
title: Porewater nutrient concentrations in control and fertilized plots in a Spartina alterniflora-dominated salt marsh, North Inlet, Georgetown, SC : 1993-2022

description: Porewater nutrient concentrations were measured as a component of a long-term project seeking to understand how salt marsh primary production and sediment chemistry respond to anthropogenic (e.g. eutrophication) and natural (e.g. sea-level rise) environmental change. Feedbacks between plants, sediments, nutrients and flooding were investigated with particular attention to mechanisms that keep marshes in equilibrium with sea level. Other data collected as part of the project include aboveground macrophyte biomass, plant density, marsh surface elevation and annual above ground primary productivity. These data have been used to develop the Marsh Equilibrium Model, an important tool for coastal resource managers. Sampling occurred at Spartina alterniflora-dominated salt marsh sites in North Inlet, a relatively pristine estuary near Georgetown, SC on the SE coast of the United States. North Inlet is a tidally-dominated, bar-built estuary, with a semi-diurnal mixed tide and a tidal range of 1.4m. The 25-km2 estuary is comprised of about 20.5 km2 of intertidal salt marsh and mudflats, and 4.5 km2 of open water. Sampling began at two locations in December 1993, and at three additional locations in January 1994. Sampling occurred approximately monthly at these 5 locations through 2021. Sampling occurred at a sixth location from 2006 to 2010. The site was a dieback site that had recovered by 2010. At the other sites, the study is on-going. Porewater was collected at multiple depths from diffusion samplers and was analyzed for sulfide, salinity, ammonium, phosphate, and iron concentrations. There are five sampling locations at three sites. Two locations are in the low marsh; three locations are in the high marsh. One high marsh location had control sampling plots in addition to plots fertilized with nitrogen and phosphorus.
DOI: 10.6084/m9.figshare.22056440
title: Data.sav

description: Dataset for manuscript titled: Ankle Dorsiflexion Range of Motion and Landing Postures during a Soccer-Specific Task <br>
DOI: 10.15783/c7-s58c-qn61
title: CRAWDAD dataset eurecom/elasticmon5G2019 (v. 2019-08-28)

description: Ten dataset files containing 4G\/5G MAC, RRC and PDCP statistics and monitoring data, grouped into two versions of 5 datasets each: raw statistics and processed monitoring data. Raw datasets are recorded using ElasticMon v0.1, a prototype version of a monitoring framework extension of the FlexRAN 5G programmable platform for Software-Defined Radio Access Networks. For details, see here: http:\/\/mosaic-5g.io\/flexran\/. Scenarios & setup: Raw datasets are recorded for one eNB and a single mobile User Equipment (UE) in five different mobility scenarios by following different motions and distance patterns relative to the eNB . All raw data have been recorded without including Tx power amplification on the RF frontend (0 dBm transmit power), which implies an approximately 10m maximum range of coverage. Future versions of the datasets will refer to multiple UEs monitoring and an eNB with Tx power amplification. How to use: The contributed raw datasets can be processed and used for training intelligent 4G\/5G models. The processed datasets that are also contributed here follow a proposed stepwise paradigm procedure. Therefore, you are advised to customize and adapt the proposed processing steps to match your own needs.
description: Changelog: the initial version
DOI: 10.17909/jc9t-3m87
title: TESS mid-to-late M dwarfs (Sectors 1-42)

description: Stellar mass: 0.1-0.3 MSun
Distance: <15 pc
Cadence: 120 sec
DOI: 10.6073/pasta/3d24b636f3e15b1be4632be51989a8d4
title: LTREB: Marsh elevation change in control and fertilized plots in a Spartina alterniflora-dominated salt marsh, North Inlet, Georgetown, SC: 1990-2022

description: Marsh elevation was measured with a Surface Elevation Table (SET) as a component of a long-term project seeking to understand how salt marsh primary production and sediment chemistry respond to anthropogenic (e.g. eutrophication) and natural (e.g. sea-level rise) environmental change. Feedbacks between plants, sediments, nutrients and flooding were investigated with particular attention to mechanisms that keep marshes in equilibrium with sea level. Other data collected as part of the project include aboveground annual primary productivity, plant biomass, plant density and porewater nutrient concentrations. These data have been used to develop the Marsh Equilibrium Model, an important tool for coastal resource managers. Sampling occurred at 7 Spartina alterniflora-dominated salt marsh sites in North Inlet, a relatively pristine estuary near Georgetown, SC on the SE coast of the United States. North Inlet is a tidally-dominated, bar-built estuary, with a semi-diurnal mixed tide and a tidal range of 1.4m. The 25-km2 estuary is comprised of about 20.5 km2 of intertidal salt marsh and mudflats, and 4.5 km2 of open water. Marsh elevation sampling began in 1990, 1991, 1996 or 2000, depending on the site. Sampling occurred approximately monthly or approximately annually through 2022. The study is on-going. Additionally, some plots were fertilized with nitrogen and phosphorus.
DOI: 10.15783/c7-kybd-ys55
title: CRAWDAD dataset iiitd/wifiactivescanning (v. 2019-06-05)

description: The dataset includes packet captures collected from controlled experiments with various devices. The dataset captures active scanning behavior of the devices. Name of each folder represents the name of the cause of active scanning. For details please refer to our papers - Learning to Rescue WiFi Networks from Unnecessary Active Scans, WoWMoM 2019.
description: Changelog: the initial version
DOI: 10.15783/c7-ca3s-z207
title: CRAWDAD dataset unm/blebeacon (v. 2019-03-12)

description: The BLEBeacon dataset is a collection of Bluetooth Low Energy (BLE) advertisement packets\/traces generated from BLE beacons carried by people following their daily routine inside a university building for a whole month. A network of Raspberry Pi 3 (RPi)-based edge devices were deployed inside a multi-floor facility continuously gathering BLE advertisement packets and storing them in a cloud-based environment. The focus is on presenting a real-life realization of a location-aware sensing infrastructure, that can provide insights for smart sensing platforms, crowd-based applications, building management, and user-localization frameworks.
description: Changelog: the initial version
DOI: 10.5281/zenodo.7617270
title: CPA-Perturb-seq: Multiplexed single-cell characterization of alternative polyadenylation regulators (PBMC data)

description: This site provides access to datasets from the CPA-Perturb-seq manuscript Kowalski*, Wessels*, Linder* et al., including PBMC data to replicate analyses in Figure 6. We release these data as Seurat objects, where each object contains single-cell quantifications of gene expression (RNA assay), and in addition, quantifications of polyA site usage (polyA site assay). To explore these data, please install the PASTA (PolyA Site analysis using relative Transcript Abundance) package which provides infrastructure and analytical tools to explore alternative polyadenylation at single-cell resolution. For each dataset, we also include a fragment file which enables visualization of read coverage plots across groups of cells. To replicate the analysis in Figure 6, in which we analyze a dataset of circulating human peripheral blood mononuclear cells, we provide a vignette available here. To following files are used: matrix.mtx: 10X file containing RNA for PBMC dataset barcodes.tsv: 10X file containing barcodes for PBMC dataset genes.tsv: 10X file containing genes for PBMC dataset PBMC_meta_data.csv: meta data for PBMC dataset PBMC_pA_counts.tab.gz: Counts file containing polyA quantification for PBMC dataset PBMC_fragments.tsv.gz: Fragment file to visualize the PBMC dataset. PBMC_fragments.tsv.gz.tbi: Fragment file index for the PBMC dataset. PBMC_polyA_peaks.gff: Gff file containing location of polyA site read regions. human_PAS_hg38.txt: Text file containing information from polyAdbv3 resource.
DOI: 10.5281/zenodo.7617269
title: CPA-Perturb-seq: Multiplexed single-cell characterization of alternative polyadenylation regulators (PBMC data)

description: This site provides access to datasets from the CPA-Perturb-seq manuscript Kowalski*, Wessels*, Linder* et al., including PBMC data to replicate analyses in Figure 6. We release these data as Seurat objects, where each object contains single-cell quantifications of gene expression (RNA assay), and in addition, quantifications of polyA site usage (polyA site assay). To explore these data, please install the PASTA (PolyA Site analysis using relative Transcript Abundance) package which provides infrastructure and analytical tools to explore alternative polyadenylation at single-cell resolution. For each dataset, we also include a fragment file which enables visualization of read coverage plots across groups of cells. To replicate the analysis in Figure 6, in which we analyze a dataset of circulating human peripheral blood mononuclear cells, we provide a vignette available here. To following files are used: matrix.mtx: 10X file containing RNA for PBMC dataset barcodes.tsv: 10X file containing barcodes for PBMC dataset genes.tsv: 10X file containing genes for PBMC dataset PBMC_meta_data.csv: meta data for PBMC dataset PBMC_pA_counts.tab.gz: Counts file containing polyA quantification for PBMC dataset PBMC_fragments.tsv.gz: Fragment file to visualize the PBMC dataset. PBMC_fragments.tsv.gz.tbi: Fragment file index for the PBMC dataset. PBMC_polyA_peaks.gff: Gff file containing location of polyA site read regions. human_PAS_hg38.txt: Text file containing information from polyAdbv3 resource.
DOI: 10.15783/c7-zn22-9y94
title: CRAWDAD dataset OWL-InIT/interference (v. 2018-09-25)

description: Dataset of traces of IEEE 802.11b\/g, IEEE 802.15.4 and Bluetooth packet transmissions with varying SNRs in the baseband. Additionally, different frequency offsets were added in the baseband to reflect different channels of the wireless technologies.
description: Changelog: the initial version
DOI: 10.15783/c7b64b
title: CRAWDAD dataset coppe-ufrj/RioBuses (v. 2018-03-19)

description: Real-time position data reported by buses, updated every minute, from the city of Rio de Janeiro, Brazil.

The file is CSV, containing the date, time(24h format), bus ID, bus line, latitude, longitude and speed of more than 12,000 buses.
description: Changelog: the initial version
DOI: 10.15783/c7mp7s
title: CRAWDAD dataset coppe-ufrj/RioBuses (v. 2018-02-20)

description: Real-time position data reported by buses, updated every minute, from the city of Rio de Janeiro, Brazil.

The file is CSV, containing the date, time(24h format), bus ID, bus line, latitude, longitude and speed of more than 12,000 buses.
description: Changelog: the initial version
DOI: 10.15783/c7sd19
title: CRAWDAD dataset hasselt/glimps2015 (v20170511)

description: A complete collection of all management and control frames (including Radiotap headers) observed at our research lab from 28 January to 8 Febuary 2016. This dataset was used to calculate the "stability" and "variability" of Probe Request IEs (see our paper for more details on these metrics).
description: Changelog: the initial version
DOI: 10.15783/c7ps3x
title: CRAWDAD dataset copelabs/usense (v. 2017-01-27)

description: This dataset comprises experiments carried out with the open-source middleware NSense (fomerly named as USense), available at https://github.com/COPELABS-SITI/NSense.

The data has been collected based on four sensors: bluetooth; Wi-Fi; microphone; accelerometer. NSense then relies on four different pipelines to compute aspects such as relative distance (Wi-Fi); social strength (based on bluetooth contact duration); sound activity level; motion.

We set up experiments making use of Samsung Galaxy S3 devices. For each experiment, there is the following set of data files:
- SocialProximity.dat has three columns: Timestamp, DeviceName, Encounter Duration, Average Encounter Duration, Social Strength (Per hour) and Social Strength(Per minute) towards DeviceName
- DistanceOutput.dat has three columns: Timestamp, DeviceName, and Distance towards DeviceName
- Microphone.dat has two columns: Timestamp, and Soundlevel(QUIET, NORMAL, ALERT and NOISY)
- PhysicalActivity.dat has two columns: Timestamp, and Activity as STATIONARY, WALKING and RUNNING


There are two tracesets. A first traceset has been collected relying on a first NSense version in 2015. Then, a second traceset has been collected in 2016, with a refined version of NSense.

In all tracesets, devices have been carried around by people that share the same affiliation during their individual daily routines (24 hour periods).
description: Changelog: a second traceset was collected in 2016, with a refined version of NSense.
DOI: 10.15783/c7tg7k
title: CRAWDAD dataset upb/hyccups (v. 2016-10-17)

description: Wireless contacts trace collected at the University Politehnica of Bucharest in the spring of 2012, using an application entitled HYCCUPS Tracer (http://hyccups.hpc.pub.ro), with the purpose of collecting contextual data from Android smartphones. It was run in the background and collected availability and mobile interaction information such as usage statistics, user activity, battery statistics, or sensor data, but it also gathered information about a device's encounters with other nodes or with wireless access points. Encounter collection was performed using AllJoyn. The data was collected by constructing and deleting wireless sessions using the AllJoyn framework based on WiFi. Tracing was executed
asynchronously. The duration of the tracing experiment was 63 days, between March and May 2012, and had 72 participants, out of which only 42 had at least one contact. By analyzing the participants' Facebook profiles, the social connections matrix was extracted, as well as the users'
interests. The trace (and others from the CRAWDAD collection) is parsed within the MobEmu simulator (used in all UPB's papers), publicly available at https://github.com/raduciobanu/mobemu.
description: Changelog: the initial version
DOI: 10.15783/c7z884
title: CRAWDAD dataset uoi/haggle (v. 2016-08-28)

description: This dataset contains seven connectivity traces that have been derived from the cambridge/haggle/imote traceset (v. 2009-05-29).
These connectivity traces can be used for network simulations with the Opportunistic Network Environment (ONE) simulator, since they are in accordance with the syntax of the StandardEventsReader format.
The Python scripts that generated these connectivity traces are also provided.
description: Changelog: the initial version
DOI: 10.15783/c7302b
title: CRAWDAD dataset oviedo/asturies-er (v. 2016-08-08)

description: This dataset contains mobility and connectivity traces extracted from GPS traces collected from the regional Fire Department of Asturias, Spain.

The original data source is one year of GPS traces extracted from a Geographical Information System (GIS). The traces were generated by GPS devices embedded mainly in cars and trucks, but also in a helicopter and a few personal radios. A total of 229 devices reported 19,462,339 locations. A new location is reported with an interval of approximately 30 seconds when the GPS device detects movement.

To convert GPS traces into ONE connectivity traces, we have assumed circular communication ranges of 10, 50 and 200 meters. There is a connection between nodes that are closer than the given range. For simplicity, we assume that the position of a device is always the last position reported.

Our analysis shows several important findings for the design of network protocols from the physical to the application layer. The networks examined are heterogeneous in the contact duration and the number of nodes contacted (degree centrality). In addition, they are sparse and partitioned, but delay- tolerant routes connecting these partitions exist. Finally, there are patterns in the connection between nodes that can ease the discovery of these routes and the deployment of delay-tolerant services.
description: Changelog: a new mobility trace containing lat/long is added
DOI: 10.15783/c76s3k
title: CRAWDAD dataset init/factory (v. 2016-06-13)

description: Measurement of the channel gain for multiple distances within a factory environment
description: Changelog: two new tracesets (M2 and M3) added
DOI: 10.5517/ccdc.csd.cc25vfgy
title: CCDC 2021400: Experimental Crystal Structure Determination

description: Related Article: Edison Castro, Saber Mirzaei, Raúl Hernández Sánchez|2021|Org.Lett.|23|87|doi:10.1021/acs.orglett.0c03765
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc261v04
title: CCDC 2027555: Experimental Crystal Structure Determination

description: Related Article: Mihails Arhangelskis, Luc Van Meervelt, Liliana Dobrzańska|2021|CrystEngComm|23|317|doi:10.1039/D0CE01302A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc261v15
title: CCDC 2027556: Experimental Crystal Structure Determination

description: Related Article: Mihails Arhangelskis, Luc Van Meervelt, Liliana Dobrzańska|2021|CrystEngComm|23|317|doi:10.1039/D0CE01302A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc261v26
title: CCDC 2027557: Experimental Crystal Structure Determination

description: Related Article: Mihails Arhangelskis, Luc Van Meervelt, Liliana Dobrzańska|2021|CrystEngComm|23|317|doi:10.1039/D0CE01302A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc261v37
title: CCDC 2027558: Experimental Crystal Structure Determination

description: Related Article: Mihails Arhangelskis, Luc Van Meervelt, Liliana Dobrzańska|2021|CrystEngComm|23|317|doi:10.1039/D0CE01302A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc26737t
title: CCDC 2032615: Experimental Crystal Structure Determination

description: Related Article: Edison Castro, Saber Mirzaei, Raúl Hernández Sánchez|2021|Org.Lett.|23|87|doi:10.1021/acs.orglett.0c03765
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc26738v
title: CCDC 2032616: Experimental Crystal Structure Determination

description: Related Article: Edison Castro, Saber Mirzaei, Raúl Hernández Sánchez|2021|Org.Lett.|23|87|doi:10.1021/acs.orglett.0c03765
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2696rh
title: CCDC 2034646: Experimental Crystal Structure Determination

description: Related Article: Hang Chen, Xiao Tang, Hebo Ye, Xinchang Wang, Hao Zheng, Yu Hai, Xiaoyu Cao, Lei You|2021|Org.Lett.|23|231|doi:10.1021/acs.orglett.0c03969
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2696sj
title: CCDC 2034647: Experimental Crystal Structure Determination

description: Related Article: Hang Chen, Xiao Tang, Hebo Ye, Xinchang Wang, Hao Zheng, Yu Hai, Xiaoyu Cao, Lei You|2021|Org.Lett.|23|231|doi:10.1021/acs.orglett.0c03969
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2696tk
title: CCDC 2034648: Experimental Crystal Structure Determination

description: Related Article: Hang Chen, Xiao Tang, Hebo Ye, Xinchang Wang, Hao Zheng, Yu Hai, Xiaoyu Cao, Lei You|2021|Org.Lett.|23|231|doi:10.1021/acs.orglett.0c03969
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.