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Fig. 1 in An exceptional influx and successful breeding of Pantala flavescens on the Island of Malta (Maltese Archipelago) (Odonata: Libellulidae)
Fig. 1 – The main reservoir at Chadwick Lakes in late September, 2020.
Fig. 6 in An exceptional influx and successful breeding of Pantala flavescens on the Island of Malta (Maltese Archipelago) (Odonata: Libellulidae)
Fig. 6 – Pair copula over Fiddien puddle on 17th October, 2020.
Fig. 2 in An exceptional influx and successful breeding of Pantala flavescens on the Island of Malta (Maltese Archipelago) (Odonata: Libellulidae)
Fig. 2 – The inner reservoir at Chadwick Lakes in early November, 2020.
Data from: The Amazon Basin's rivers and lakes support Nearctic-breeding shorebirds during southward migration
<p>Shorebird movement data used in habitat analyses for "The Amazon Basin's rivers and lakes support Nearctic-breeding shorebirds during southward migration." Data were collected between 2016-2022 using Argos Platform Terminal Transmitters or Pinpoint GPS Argos transmitters affixed to six shorebird species: American Golden-Plovers (<em>Pluvialis dominica</em>), Hudsonian Godwits (<em>Limosa haemastica</em>), Lesser Yellowlegs (<em>Tringa flavipes</em>), and Buff-breasted (<em>Calidris subruficollis</em>), Pectoral (<em>C. melanotos</em>), and Upland Sandpipers (<em>Bartramia longicauda</em>). The devices were deployed by various research groups at sites outside the Amazon Basin. Data has been subset to the Amazon Basin and the approximate timeframe of southward migration (July-December) and filtered to relevant individuals. </p> <p>The CSV file contains the following variables:</p> <ul> <li> <p>'individual local identifier': a unique alphanumeric identifier for the individual</p> </li> <li> <p>'timestamp': date-time of the location, in YYYY-mm-dd HH:mm:ss format</p> </li> <li> <p>'location.long': longitude</p> </li> <li> <p>'location.lat': latitude</p> </li> <li> <p>'species': shorebird species alpha code</p> </li> <li> <p>'lc': location quality class for Argos PTT (3, 2, 1, 0, A, B, Z) or GPS (G) locations</p> </li> <li> <p>'argos.semi.major': the length of the semi-major axis of the error ellipse for Argos locations, in meters</p> </li> <li> <p>'argos.semi.minor': the length of the semi-minor axis of the error ellipse for Argos locations, in meters</p> </li> <li> <p>'argos.error.radius': one standard deviation (sigma) of the isotropic location error for Argos locations</p> </li> <li> <p>'argos.orientation': the orientation of the semi-major axis of the error ellipse for Argos locations, in degrees clockwise from north</p> </li> <li> <p>'gps.fix.type.raw': the type of GPS fix (2D, 3D)</p> </li> </ul> <p>Links to full studies are provided in 'Related Works.' Please consult links for attribution and data use information.</p>
Fig. 4 in New records, range extension and call description for the stream-breeding frog Hyloscirtus lascinius (Rivero, 1970) in Venezuela
Fig. 4. Oscillogram (A) and spectrogram (B) of the advertisement call of Hyloscirtus lascinius.
Intermittent reproduction, mortality patterns and lifetime breeding frequency of females in a population of the adder (Vipera berus)
<p>Raw data used in paper by Dirk Bauwens & Katja Claus. 2019. Intermittent reproduction, mortality patterns and lifetime breeding frequency of females in a population of the adder (Vipera berus). PeerJ, DOI 10.7717/peerj.6912</p> <p>CH_data_AdultFemaleAdders.INP</p> <p>A text file with extension .INP for input in the program MARK (White & Burnham, 1999; Cooch & White, 2015)), containing the capture-recapture histories, including breeding status of individual adult female adders (n = 908). Each 18-digit string contains a 1-digit score (B/N/0 ; Breeding / Non-breeding / not captured) per year of study (2000 – 2017).</p> <p>SVL_BCI_RawData.xlsx</p> <p>Excell-file containing data for SVL, mass, BCI (body condition index) and breeding status (breeding/non-breeding) for individual females captured and measured during spring (March – half May; i.e., before ovulation) or late summer (August-September; i.e. after parturition or at end of activity season).</p> <p> </p>
The distribution data of sandhill crane in Asia during non-breeding period from our fieldwork
<p>This data is the wintering distribution data of sandhill cranes collected by our research team in the fieldwork. The data has been used to publish an article in Peerj.</p>
Bioacoustic monitoring reveals shifts in breeding songbird populations and singing behaviour with selective logging in tropical forests
<b>Description: </b><p>Counts of individual male songbirds, males and females, songs and duets and original WAV audio recordings used to generate them</p><p><b>Project: </b>This dataset was collected as part of the following SAFE research project: <a href="https://www.safeproject.net/projects/project_view/131"><b>Population and behavioral responses of songbirds to logging and rain forest fragmentation</b></a></p><p><b>XML metadata: </b>GEMINI compliant metadata for this dataset is available <a href="https://www.safeproject.net/datasets/xml_metadata?id=3366104">here</a></p><p><b>Files: </b>This dataset consists of 13 files: Pillay_et_al_Songbirds_Acoustic_Counts_Vegetation_Cover.xlsx, 2013_B.zip, 2013_D.zip, 2013_E.zip, 2013_F.zip, 2013_OG1.zip, 2013_OG2.zip, 2014_B.zip, 2014_D.zip, 2014_E.zip, 2014_F.zip, 2014_OG1.zip, 2014_OG2.zip</p><p><b>Pillay_et_al_Songbirds_Acoustic_Counts_Vegetation_Cover.xlsx</b></p><p>This file contains dataset metadata and 5 data tables:</p><ol><li><p><b>CountsMale</b> (described in worksheet CountsMale)</p><p>Description: Counts of male individuals of songbird species</p><p>Number of fields: 12</p><p>Number of data rows: 5700</p><p>Fields: </p><ul><li><b>year</b>: Year of Survey (Field type: id)</li><li><b>ftype</b>: Forest Type (Field type: categorical)</li><li><b>block</b>: Unique ID of Blocks within which Sampling Plots are located (Field type: id)</li><li><b>location</b>: Unique ID of Sampling Plots (Field type: location)</li><li><b>fragment</b>: Future fragments within which sampling plots in logged forest plots were located; not applicable for unlogged forest plots (Field type: id)</li><li><b>species</b>: Species Identity (Field type: taxa)</li><li><b>day</b>: Days 1 to 2 of sampling in each plot (Field type: numeric)</li><li><b>date</b>: Date of Sampling (Field type: date)</li><li><b>jul.date</b>: Julian Date of Sampling (Field type: numeric)</li><li><b>time1-6AM</b>: Counts of male individuals for 6:00-6:05 AM; detection histories generated by collapsing counts to 1/0 data (Field type: numeric)</li><li><b>time2-7AM</b>: Counts of male individuals for 7:00-7:05 AM; detection histories generated by collapsing counts to 1/0 data (Field type: numeric)</li><li><b>time3-8AM</b>: Counts of male individuals for 8:00-8:05 AM; detection histories generated by collapsing counts to 1/0 data (Field type: numeric)</li></ul></li><li><p><b>CountsMaleFemale</b> (described in worksheet CountsMaleFemale)</p><p>Description: Counts of male plus female individuals of songbird species</p><p>Number of fields: 12</p><p>Number of data rows: 1000</p><p>Fields: </p><ul><li><b>year</b>: Year of Survey (Field type: id)</li><li><b>ftype</b>: Forest Type (Field type: categorical)</li><li><b>block</b>: Unique ID of Blocks within which Sampling Plots are located (Field type: id)</li><li><b>location</b>: Unique ID of Sampling Plots (Field type: location)</li><li><b>fragment</b>: Future fragments within which sampling plots in logged forest plots were located; not applicable for unlogged forest plots (Field type: id)</li><li><b>species</b>: Species Identity (Field type: taxa)</li><li><b>day</b>: Days 1 to 2 of sampling in each plot (Field type: numeric)</li><li><b>date</b>: Date of Sampling (Field type: date)</li><li><b>jul.date</b>: Julian Date of Sampling (Field type: numeric)</li><li><b>time1-6AM</b>: Counts of male and female individuals for 6:00-6:05 AM; detection histories generated by collapsing counts to 1/0 data (Field type: numeric)</li><li><b>time2-7AM</b>: Counts of male and female individuals for 7:00-7:05 AM; detection histories generated by collapsing counts to 1/0 data (Field type: numeric)</li><li><b>time3-8AM</b>: Counts of male and female individuals for 8:00-8:05 AM; detection histories generated by collapsing counts to 1/0 data (Field type: numeric)</li></ul></li><li><p><b>CountsSong</b> (described in worksheet CountsSong)</p><p>Description: Counts of songs</p><p>Number of fields: 9</p><p>Number of data rows: 2850</p><p>Fields: </p><ul><li><b>year</b>: Year of Survey (Field type: id)</li><li><b>ftype</b>: Forest Type (Field type: categorical)</li><li><b>block</b>: Unique ID of Blocks within which Sampling Plots are located (Field type: id)</li><li><b>location</b>: Unique ID of Sampling Plots (Field type: location)</li><li><b>fragment</b>: Future fragments within which sampling plots in logged forest plots were located; not applicable for unlogged forest plots (Field type: id)</li><li><b>species</b>: Species Identity (Field type: taxa)</li><li><b>day3-6AM</b>: Counts of songs for 6:00-6:05 AM on day 3 or third consecutive day of sampling in each plot (Field type: numeric)</li><li><b>day3-7AM</b>: Counts of songs for 7:00-7:05 AM on day 3 or third consecutive day of sampling in each plot (Field type: numeric)</li><li><b>day3-8AM</b>: Counts of songs for 8:00-8:05 AM on day 3 or third consecutive day of sampling in each plot (Field type: numeric)</li></ul></li><li><p><b>CountsDuet</b> (described in worksheet CountsDuet)</p><p>Description: Counts of duets</p><p>Number of fields: 9</p><p>Number of data rows: 500</p><p>Fields: </p><ul><li><b>year</b>: Year of Survey (Field type: id)</li><li><b>ftype</b>: Forest Type (Field type: categorical)</li><li><b>block</b>: Unique ID of Blocks within which Sampling Plots are located (Field type: id)</li><li><b>location</b>: Unique ID of Sampling Plots (Field type: location)</li><li><b>fragment</b>: Future fragments within which sampling plots in logged forest plots were located; not applicable for unlogged forest plots (Field type: id)</li><li><b>species</b>: Species Identity (Field type: taxa)</li><li><b>day3-6AM</b>: Counts of duets for 6:00-6:05 AM on day 3 or third consecutive day of sampling in each plot (Field type: numeric)</li><li><b>day3-7AM</b>: Counts of duets for 7:00-7:05 AM on day 3 or third consecutive day of sampling in each plot (Field type: numeric)</li><li><b>day3-8AM</b>: Counts of duets for 8:00-8:05 AM on day 3 or third consecutive day of sampling in each plot (Field type: numeric)</li></ul></li><li><p><b>VegetationCover</b> (described in worksheet VegetationCover)</p><p>Description: Vegetation cover data</p><p>Number of fields: 6</p><p>Number of data rows: 50</p><p>Fields: </p><ul><li><b>location</b>: Unique ID of Sampling Plots (Field type: location)</li><li><b>forest.type</b>: Forest Type (Field type: categorical)</li><li><b>udens</b>: Proportion understory cover (Field type: numeric)</li><li><b>cc</b>: Proportion canopy cover (Field type: numeric)</li><li><b>can.ht</b>: Average canopy height (Field type: numeric)</li><li><b>max.canopy</b>: Maximum height of standing vegetation (Field type: numeric)</li></ul></li></ol><p><b>2013_B.zip</b></p><p>Description: WAV files from 2013 for site B</p><p><b>2013_D.zip</b></p><p>Description: WAV files from 2013 for site D</p><p><b>2013_E.zip</b></p><p>Description: WAV files from 2013 for site E</p><p><b>2013_F.zip</b></p><p>Description: WAV files from 2013 for site F</p><p><b>2013_OG1.zip</b></p><p>Description: WAV files from 2013 for site OG1</p><p><b>2013_OG2.zip</b></p><p>Description: WAV files from 2013 for site OG2</p><p><b>2014_B.zip</b></p><p>Description: WAV files from 2014 for site B</p><p><b>2014_D.zip</b></p><p>Description: WAV files from 2014 for site D</p><p><b>2014_E.zip</b></p><p>Description: WAV files from 2014 for site E</p><p><b>2014_F.zip</b></p><p>Description: WAV files from 2014 for site F</p><p><b>2014_OG1.zip</b></p><p>Description: WAV files from 2014 for site OG1</p><p><b>2014_OG2.zip</b></p><p>Description: WAV files from 2014 for site OG2</p><p><b>Date range: </b>2013-04-09 to 2014-07-26</p><p><b>Latitudinal extent: </b>4.6881 to 4.7530</p><p><b>Longitudinal extent: </b>116.9477 to 117.6249</p><p><b>Taxonomic coverage: </b><br> All taxon names are validated against the GBIF backbone taxonomy. If a dataset uses a synonym, the accepted usage is shown followed by the dataset usage in brackets. Taxa that cannot be validated, including new species and other unknown taxa, morphospecies, functional groups and taxonomic levels not used in the GBIF backbone are shown in square brackets.</p><div> -  Animalia <br> -  -  Chordata <br> -  -  -  Aves <br> -  -  -  -  Passeriformes <br> -  -  -  -  -  Timaliidae <br> -  -  -  -  -  -  <i>Stachyris</i> <br> -  -  -  -  -  -  -  <i>Stachyris maculata</i> <br> -  -  -  -  -  -  -  <i>Stachyris erythroptera</i> <br> -  -  -  -  -  -  -  <i>Stachyris poliocephala</i> <br> -  -  -  -  -  -  <i>Macronus</i> <br> -  -  -  -  -  -  -  <i>Macronus bornensis</i> <br> -  -  -  -  -  -  -  <i>Macronus ptilosus</i> (as synonym: <i>Macronous ptilosus</i>)<br> -  -  -  -  -  -  <i>Stachyridopsis</i> <br> -  -  -  -  -  -  -  <i>Stachyridopsis rufifrons</i> (as synonym: <i>Stachyris rufifrons</i>)<br> -  -  -  -  -  -  <i>Pomatorhinus</i> <br> -  -  -  -  -  -  -  <i>Pomatorhinus montanus</i> <br> -  -  -  -  -  Pellorneidae <br> -  -  -  -  -  -  <i>Trichastoma</i> <br> -  -  -  -  -  -  -  <i>Trichastoma bicolor</i> <br> -  -  -  -  -  -  <i>Alcippe</i> <br> -  -  -  -  -  -  -  <i>Alcippe brunneicauda</i> <br> -  -  -  -  -  -  <i>Pellorneum</i> <br> -  -  -  -  -  -  -  <i>Pellorneum capistratum</i> <br> -  -  -  -  -  -  <i>Malacocincla</i> <br> -  -  -  -  -  -  -  <i>Malacocincla malaccensis</i> <br> -  -  -  -  -  -  <i>Malacopteron</i> <br> -  -  -  -  -  -  -  <i>Malacopteron magnirostre</i> <br> -  -  -  -  -  -  -  <i>Malacopteron magnum</i> <br> -  -  -  -  -  -  -  <i>Malacopteron cinereum</i> <br> -  -  -  -  -  -  -  <i>Malacopteron affine</i> <br> -  -  -  -  -  Pycnonotidae <br> -  -  -  -  -  -  <i>Alophoixus</i> <br> -  -  -  -  -  -  -  <i>Alophoixus bres</i> <br> -  -  -  -  -  -  -  <i>Alophoixus phaeocephalus</i> <br> -  -  -  -  -  -  <i>Tricholestes</i> <br> -  -  -  -  -  -  -  <i>Tricholestes criniger</i> <br> -  -  -  -  -  -  <i>Iole</i> <br> -  -  -  -  -  -  -  <i>Iole olivacea</i> <br> -  -  -  -  -  -  <i>Pycnonotus</i> <br> -  -  -  -  -  -  -  <i>Pycnonotus atriceps</i> <br> -  -  -  -  -  -  -  <i>Pycnonotus simplex</i> <br> -  -  -  -  -  -  -  <i>Pycnonotus eutilotus</i> <br> -  -  -  -  -  -  -  <i>Pycnonotus brunneus</i> <br> -  -  -  -  -  -  -  <i>Pycnonotus erythropthalmos</i> <br> -  -  -  -  -  Stenostiridae <br> -  -  -  -  -  -  <i>Culicicapa</i> <br> -  -  -  -  -  -  -  <i>Culicicapa ceylonensis</i> <br> -  -  -  -  -  Muscicapidae <br> -  -  -  -  -  -  <i>Cyornis</i> <br> -  -  -  -  -  -  -  <i>Cyornis superbus</i> <br> -  -  -  -  -  -  -  <i>Cyornis unicolor</i> <br> -  -  -  -  -  -  <i>Rhinomyias</i> <br> -  -  -  -  -  -  -  <i>Rhinomyias umbratilis</i> <br> -  -  -  -  -  -  <i>Trichixos</i> <br> -  -  -  -  -  -  -  <i>Trichixos pyrropygus</i> <br> -  -  -  -  -  -  <i>Copsychus</i> <br> -  -  -  -  -  -  -  <i>Copsychus stricklandii</i> <br> -  -  -  -  -  Monarchidae <br> -  -  -  -  -  -  <i>Terpsiphone</i> <br> -  -  -  -  -  -  -  <i>Terpsiphone paradisi</i> <br> -  -  -  -  -  -  <i>Hypothymis</i> <br> -  -  -  -  -  -  -  <i>Hypothymis azurea</i> <br></div><p></p>
Figure 2 in Breeding success of the Stone Curlew Burhinus oedicnemus in Nag Valley (1999-2001), Kharan, Pakistan
Figure 2. The nest of the Stone Curlew on bare ground in Nag Valley.
Figure 3 in Nest characteristics and breeding success of Sarus Crane, Antigone antigone (Linnaeus, 1758) (Aves: Gruidae) in different habitats at Dhanauri Wetland, Uttar Pradesh, India
Figure 3. Nest of Sarus Crane in perennial wetland.
Figure 4 in Nest characteristics and breeding success of Sarus Crane, Antigone antigone (Linnaeus, 1758) (Aves: Gruidae) in different habitats at Dhanauri Wetland, Uttar Pradesh, India
Figure 4. Female individual maintaining nest.
Figure 6 in Nest characteristics and breeding success of Sarus Crane, Antigone antigone (Linnaeus, 1758) (Aves: Gruidae) in different habitats at Dhanauri Wetland, Uttar Pradesh, India
Figure 6. Correlation between mean water depth and nest height.
Figure 1 in Nest characteristics and breeding success of Sarus Crane, Antigone antigone (Linnaeus, 1758) (Aves: Gruidae) in different habitats at Dhanauri Wetland, Uttar Pradesh, India
Figure 1. Camera trap (in red circle) used during the study.
Figure 1 in Surveillance of population dynamics and breeding habitat diversity of Anopheles subpictus in different areas of Odisha, East Central India
Figure 1. Map showing (circle marks) study areas.
Figure 5 in Breeding biology of the red-backed shrike, Lanius collurio, in the Kızılırmak Delta in the north of Turkey
Figure 5. Laying time of the red-backed shrikes.
Figure 2 in Breeding biology of the red-backed shrike, Lanius collurio, in the Kızılırmak Delta in the north of Turkey
Figure 2. Nest plants of the red-backed shrikes (n = 108) in the Kızılırmak Delta during 2011–2012.
Figure 6 in Breeding biology of the red-backed shrike, Lanius collurio, in the Kızılırmak Delta in the north of Turkey
Figure 6. Clutch size distribution of the red-backed shrikes.
Figure 3 in Breeding biology of the red-backed shrike, Lanius collurio, in the Kızılırmak Delta in the north of Turkey
Figure 3. Distribution of the orientations of the red-backed shrike nests in the supporting plants.
Figure 1 in Investigation of GH and GHR Alu I gene polymorphisms on meat yields in Anatolian water buffalo breed using PCR-RFLP method
Figure 1. PCR products of exons 4 and 5 of the GH gene (428-bp band, M: 100-bp DNA ladder).
Figure 1 in The partitioning of temporal movement patterns of breeding red-crowned crane (Grus japonensis) induced by temperature
Figure 1. The study area of Zhalong Reserve. Inset shows its location in northeastern China.
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
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OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.